Typing multiple words will show all the results where any of the words matches!
Use double quotes (") to group words and narrow down the results:
searching for ocean atlas will give you all the results for ocean AND all the results for atlas
I made an atlas to use at school.
will match once for atlas
I love the ocean.
will match once for ocean
I made an atlas that is not containing the ocean.
will match once for atlas
will match a second time for ocean
I made a new ocean atlas.
will match once for atlas
will match a second time for ocean
searching for "ocean atlas" will only give you the results for the 2 adjacent words ocean and atlas
I made an atlas to use at school.
will NOT match, ocean atlas not found
I love the ocean.
will NOT match, ocean atlas not found
I made an atlas that is not containing the ocean.
will NOT match, the 2 adjacent words ocean atlas not found
I made a new ocean atlas.
will match once, the 2 adjacent words ocean atlas found once
How to use wildcards?
Wildcards '?' (single character) and '*' (multiple characters) are accepted.
bird will only match the word 'bird'
bir? will match the words 'bir' and 'bird'
bir* will match the words 'bir', 'bird' and 'birds'
*bird* will match the words 'bird', 'birds', 'seabird' and 'seabirds'
How to use the filters?
you can search with or without filters, filters are here to narrow down your search results using predefined lists
using filters
multiple selects within one filter will be used as OR statements
examples:
selecting both Belgium and France
will show all records where Belgium has been selected and
all records where France has been selected
different filters will be used with AND statement in search
examples:
selecting both Belgium as country and French as language
will show all records where Belgium has been selected as country and
where French has been selected as language
all combination are possible
examples:
selecting both Belgium and France as country
and French and Dutch as language
will show all records where Belgium has been selected as country and
where French or Dutch has been selected as language
and all records where France has been selected as country and
where French or Dutch has been selected as language
without filters
when searching without filters the different words will be searched in all fields that are not a filter
examples:
selecting Belgium as country without the use of a searchword
or selecting no country in the filters and using Belgium as a searchword
will give two different results.
special filters
clicking on the button My Records will show only your records
Type something in the input field to search for a specific text inside all entries of the catalogue.
Typing multiple words will show all the results where any of the words matches!
Use double quotes (") to group words and narrow down the results (see help for some examples):
searching for ocean atlas will give you all the results for ocean AND all the results for atlas
searching for "ocean atlas" will only give you the results for the 2 adjacent words ocean and atlas
you were looking for : Types : Software (ocean related)
A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.
This repository contains codes and sample notebooks for downloading and processing the SSH mapping data challenge.
The goal is to investigate how to best reconstruct sequences of Sea Surface Height (SSH) maps from partial satellite altimetry observations. This data challenge follows an Observation System Simulation Experiment framework: "Real" full SSH are from a numerical simulation with a realistic, high-resolution ocean circulation model: the reference simulation. Satellite observations are simulated by sampling the reference simulation based on realistic orbits of past, existing or future altimetry satellites. A baseline reconstruction method is provided (see below) and the practical goal of the challenge is to beat this baseline according to scores also described below and in Jupyter notebooks.
Maxime Ballarotta, Emmanuel Cosme, & Aurélie Albert. (2020, September 23). ocean-data-challenges/2020a_SSH_mapping_NATL60: Material for SSH mapping data challenge (Version v1). Zenodo. http://doi.org/10.5281/zenodo.4045400
Abstract
A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.
This repository contains codes and sample notebooks for downloading and processing the SSH mapping data challenge.
The goal is to investigate how to best reconstruct sequences of Sea Surface Height (SSH) maps from partial satellite altimetry observations. This data challenge follows an Observation System Simulation Experiment framework: "Real" full SSH are from a numerical simulation with a realistic, high-resolution ocean circulation model: the reference simulation. Satellite observations are simulated by sampling the reference simulation based on realistic orbits of past, existing or future altimetry satellites. A baseline reconstruction method is provided (see below) and the practical goal of the challenge is to beat this baseline according to scores also described below and in Jupyter notebooks.
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Types: Software (ocean related)
Languages: English
Countries: France
Host Countries: France
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Satellite, oceanography, python, sea surface height
Last updated: 05/02/2022
ADCIRC Model (ODIS id: 1787)
https://adcirc.org/
ADCIRC is a system of computer programs for solving time dependent, free surface circulation and tra ...
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ADCIRC Model
ADCIRC is a system of computer programs for solving time dependent, free surface circulation and transport problems in two and three dimensions. These programs utilize the finite element method in space allowing the use of highly flexible, unstructured grids.
Typical ADCIRC applications have included prediction of storm surge and flooding,
modeling tides and wind driven circulation, larval transport studies, near shore marine operations, and dredging feasibility and material disposal studies.
ADCIRC is a system of computer programs for solving time dependent, free surface circulation and transport problems in two and three dimensions. These programs utilize the finite element method in space allowing the use of highly flexible, unstructured grids.
Typical ADCIRC applications have included prediction of storm surge and flooding,
modeling tides and wind driven circulation, larval transport studies, near shore marine operations, and dredging feasibility and material disposal studies.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: dredging feasibility, larvae, larval transport, material disposal studies, near shore marine operations, wind driven circulation
Last updated: 18/01/2022
Tools for setting up, running and processing data from a Seaglider fitted with a Nortek 1MHz.
In addition to the other requirements, the environment uses the Gibbs Seawater Python wrapper from https://github.com/TEOS-10/GSW-Python
Tools for setting up, running and processing data from a Seaglider fitted with a Nortek 1MHz.
In addition to the other requirements, the environment uses the Gibbs Seawater Python wrapper from https://github.com/TEOS-10/GSW-Python
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Types: Software (ocean related)
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: ADCP, Glider, data processing, oceanography, python
Last updated: 01/05/2021
Advanced Weather Interactive Processing System - UNIDATA at University Corporation for Atmospheric Research (ODIS id: 2316)
Advanced Weather Interactive Processing System - UNIDATA at University Corporation for Atmospheric Research
AWIPS (Advanced Weather Interactive Processing System) is a meteorological display and analysis package originally developed by the National Weather Service and Raytheon. Here at Unidata, we provide a slightly modified version, which is tailored for education use for our primary user base of US Academic institutions, their faculty, and students. AWIPS takes a unified approach to data ingest, and most data types follow a path through the system starting with an LDM client requesting data from the Unidata IDD. These data files are then decoded and stored as HDF5 and Postgres metadata by EDEX.
Unidata supports two visualization frameworks for rendering AWIPS data: CAVE (a desktop Java application), and the Python Data Access Framework (python-awips).
Advanced Weather Interactive Processing System - UNIDATA at University Corporation for Atmospheric Research (ODIS id 2316)
Advanced Weather Interactive Processing System - UNIDATA at University Corporation for Atmospheric Research
Original (non-English) name
Acronym
AWIPS-II - UNIDATA-UCAR
Citation
Abstract
AWIPS (Advanced Weather Interactive Processing System) is a meteorological display and analysis package originally developed by the National Weather Service and Raytheon. Here at Unidata, we provide a slightly modified version, which is tailored for education use for our primary user base of US Academic institutions, their faculty, and students. AWIPS takes a unified approach to data ingest, and most data types follow a path through the system starting with an LDM client requesting data from the Unidata IDD. These data files are then decoded and stored as HDF5 and Postgres metadata by EDEX.
Unidata supports two visualization frameworks for rendering AWIPS data: CAVE (a desktop Java application), and the Python Data Access Framework (python-awips).
Types: Education and training materials (related to oceans), Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: no searegion defined
Themes: DS03 Physical oceanography
Keywords: safety
Last updated: 25/09/2021
AIBECS (for Algebraic Implicit Biogeochemical Elemental Cycling System, pronounced like the cool ibex) is a Julia package that provides ocean biogeochemistry modellers with an easy-to-use interface for creating and running models of the ocean system.
AIBECS is a system because it allows you to choose some biogeochemical tracers, define their interactions, select an ocean circulation and Voilà! — your model is ready to run.
Benoit Pasquier, & Julia TagBot. (2020, November 20). JuliaOcean/AIBECS.jl: v0.8.1 (Version v0.8.1). Zenodo. http://doi.org/10.5281/zenodo.4282691
Abstract
AIBECS (for Algebraic Implicit Biogeochemical Elemental Cycling System, pronounced like the cool ibex) is a Julia package that provides ocean biogeochemistry modellers with an easy-to-use interface for creating and running models of the ocean system.
AIBECS is a system because it allows you to choose some biogeochemical tracers, define their interactions, select an ocean circulation and Voilà! — your model is ready to run.
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Types: Software (ocean related)
Languages: English
Countries: Australia
Host Countries: Australia
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Julia, Modelling, biogeochemistry, fluxes, ocean circulation, oceanography, oceans, transport
Last updated: 30/04/2021
The AODN open geospatial portal is a Grails application for discovering, subsetting, and downloading geospatial data.
The application is a stateless front end to other servers:
GeoNetwork metadata catalog
GeoServer data server (WMS and WFS and our WPS subsetting and aggregation services
THREDDS Gridded (ncWMS files) data server with embedded ncWMS (http://www.resc.rdg.ac.uk/trac/ncWMS/) web map server
You can view the portal in action at AODN Portal, which always runs the latest version of the code.
AODN Open Geospatial Portal repository (ODIS id 1779)
The AODN open geospatial portal is a Grails application for discovering, subsetting, and downloading geospatial data.
The application is a stateless front end to other servers:
GeoNetwork metadata catalog
GeoServer data server (WMS and WFS and our WPS subsetting and aggregation services
THREDDS Gridded (ncWMS files) data server with embedded ncWMS (http://www.resc.rdg.ac.uk/trac/ncWMS/) web map server
You can view the portal in action at AODN Portal, which always runs the latest version of the code.
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Types: Software (ocean related)
Languages: English
Countries: Australia
Host Countries: Australia
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS05 Atmosphere
Keywords: Geospatial data, Integrated Marine Observing System, data access, data discovey, geonetwork, geoserver
Last updated: 02/05/2021
Types: Software (ocean related)
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: Celtic Sea, English Channel, North Atlantic Ocean, North Sea
Themes: DS06 Cross-discipline
Keywords: API, Coastal zone, data access
Last updated: 26/04/2021
API - Earth System Grid Federation (ODIS id: 2838)
The ESGF search service exposes a RESTful URL that can be used by clients (browsers and desktop clients) to query the contents of the underlying search index, and return results matching the given constraints. Because of the distributed capabilities of the ESGF search, the URL at any Index Node can be used to query that Node only, or all Nodes in the ESGF system.
The ESGF search service exposes a RESTful URL that can be used by clients (browsers and desktop clients) to query the contents of the underlying search index, and return results matching the given constraints. Because of the distributed capabilities of the ESGF search, the URL at any Index Node can be used to query that Node only, or all Nodes in the ESGF system.
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Types: Software (ocean related)
Languages: English
Countries: REGIONAL
Host Countries: United States
Sea Region: no searegion defined
Themes: DS05 Atmosphere
Keywords: API, climate data, earth science, observation data
Last updated: 04/11/2021
API - Global Learning and Observations to Benefit the Environment program (ODIS id: 2827)
Types: Data systems/portals (allowing downloading of data sets), Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: no searegion defined
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS10 Environment
Keywords: collaboration, earth science, education, scientific knowledge
Last updated: 04/11/2021
Application for Extracting and Exploring Analysis Ready Samples - NASA's Land Processes Distributed Active Archive Center
The Application for Extracting and Exploring Analysis Ready Samples (AρρEEARS) offers a simple and efficient way to access and transform geospatial data from a variety of federal data archives. AρρEEARS enables users to subset geospatial datasets using spatial, temporal, and band/layer parameters. Two types of sample requests are available: point samples for geographic coordinates and area samples for spatial areas via vector polygons. Sample requests submitted to AρρEEARS provide users not only with data values, but also associated quality data values. Interactive visualizations with summary statistics are provided for each sample within the application, which allow users to preview and interact with their samples before downloading their data. Get started with a sample request using the Extract option above, or visit the Help page to learn more.
Application for Extracting and Exploring Analysis Ready Samples - NASA's Land Processes Distributed Active Archive Center (ODIS id 1863)
Application for Extracting and Exploring Analysis Ready Samples - NASA's Land Processes Distributed Active Archive Center
Original (non-English) name
Acronym
AppEEARS - LP DAAC
Citation
Abstract
The Application for Extracting and Exploring Analysis Ready Samples (AρρEEARS) offers a simple and efficient way to access and transform geospatial data from a variety of federal data archives. AρρEEARS enables users to subset geospatial datasets using spatial, temporal, and band/layer parameters. Two types of sample requests are available: point samples for geographic coordinates and area samples for spatial areas via vector polygons. Sample requests submitted to AρρEEARS provide users not only with data values, but also associated quality data values. Interactive visualizations with summary statistics are provided for each sample within the application, which allow users to preview and interact with their samples before downloading their data. Get started with a sample request using the Extract option above, or visit the Help page to learn more.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: Geospatial data, data processing
Last updated: 21/04/2021
Apps EyeOnWater - Citizens’ Observatory for Coast and Ocean Optical Monitoring (ODIS id: 2424)
https://www.eyeonwater.org/apps
The EyeOnWater concept consists of an app and a website. The app allows you as user to make a contri ...
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Apps EyeOnWater - Citizens’ Observatory for Coast and Ocean Optical Monitoring
The EyeOnWater concept consists of an app and a website. The app allows you as user to make a contribution to science and supply information about the water near your location or elsewhere. All your measurements will be visible via the EyeOnWater website.
What is it you measure? Water colour is an indication for life in the water. Scientists have been measuring this in marine waters via the Forel-Ule scale for more than 200 years. Your measurements are invaluable to scientists and will contribute to this long-term observation of water colour and continue the timeseries.
The scientific background of the EyeOnWater concept has been developed by NIOZ, with partner Veerder responsible for the design and MARIS for the technical development. Other partners in the EU funded project Citclops have also contributed to the water colour app. For more information about the Citclops project please visit: www.citclops.eu
Apps EyeOnWater - Citizens’ Observatory for Coast and Ocean Optical Monitoring (ODIS id 2424)
Apps EyeOnWater - Citizens’ Observatory for Coast and Ocean Optical Monitoring
Original (non-English) name
Acronym
Apps EyeOnWater - Citclops
Citation
Abstract
The EyeOnWater concept consists of an app and a website. The app allows you as user to make a contribution to science and supply information about the water near your location or elsewhere. All your measurements will be visible via the EyeOnWater website.
What is it you measure? Water colour is an indication for life in the water. Scientists have been measuring this in marine waters via the Forel-Ule scale for more than 200 years. Your measurements are invaluable to scientists and will contribute to this long-term observation of water colour and continue the timeseries.
The scientific background of the EyeOnWater concept has been developed by NIOZ, with partner Veerder responsible for the design and MARIS for the technical development. Other partners in the EU funded project Citclops have also contributed to the water colour app. For more information about the Citclops project please visit: www.citclops.eu
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Spain, REGIONAL
Sea Region: World
Themes: DS01 Biological oceanography, DS10 Environment
Keywords: Public participation, monitoring activities, water quality
Last updated: 18/09/2021
The HELCOM' ArcGIS REST API, short for Representational State Transfer, provides a simple, open web interface to ArcGIS. A major portion of the API, described in this section of the help, allows access to services hosted by ArcGIS Server.
All resources and operations exposed by the REST API are accessible through a hierarchy of endpoints or Uniform Resource Locators (URLs) for each GIS service published with ArcGIS Server. When using the ArcGIS Services portion of the REST API, you typically start from a well-known endpoint, which represents the server catalog. See the Resource hierarchy to learn about how the services in the REST API fit together under the catalog.
The HELCOM' ArcGIS REST API, short for Representational State Transfer, provides a simple, open web interface to ArcGIS. A major portion of the API, described in this section of the help, allows access to services hosted by ArcGIS Server.
All resources and operations exposed by the REST API are accessible through a hierarchy of endpoints or Uniform Resource Locators (URLs) for each GIS service published with ArcGIS Server. When using the ArcGIS Services portion of the REST API, you typically start from a well-known endpoint, which represents the server catalog. See the Resource hierarchy to learn about how the services in the REST API fit together under the catalog.
MATLAB code to build a schematic diagram of Arctic Ocean freshwater storage and fluxes. Data taken from Jahn & Laiho (2020) and Haine et al. (2015), plus updates.
Run MATLAB codes as follows:
Run flux_update.m to make a diagnostic figure of freshwater fluxes from Haine et al. (2015), plus recent public data updates. This builds the .mat file used in the main script.
Run make_LFC_map.m to make the liquid freshwater content basemap adapted from Haine et al. (2015) Fig. 6.
Run schematic_figure.m to read Alex Jahn's CESM data from Jahn & Laiho (2020) and make the subplots for the schematic figure (six .eps files).
Use Mac keynote to build schematic.key and hence schematic.pdf using the component figure files.
The MATLAB code uses Gibbs-Seawater (GSW) Oceanographic Toolbox functions.
A commentary article entitled Arctic Ocean Freshening Linked to Anthropogenic Climate Change: All Hands on Deck has been submitted to GRL.
MATLAB code to build a schematic diagram of Arctic Ocean freshwater storage and fluxes. Data taken from Jahn & Laiho (2020) and Haine et al. (2015), plus updates.
Run MATLAB codes as follows:
Run flux_update.m to make a diagnostic figure of freshwater fluxes from Haine et al. (2015), plus recent public data updates. This builds the .mat file used in the main script.
Run make_LFC_map.m to make the liquid freshwater content basemap adapted from Haine et al. (2015) Fig. 6.
Run schematic_figure.m to read Alex Jahn's CESM data from Jahn & Laiho (2020) and make the subplots for the schematic figure (six .eps files).
Use Mac keynote to build schematic.key and hence schematic.pdf using the component figure files.
The MATLAB code uses Gibbs-Seawater (GSW) Oceanographic Toolbox functions.
A commentary article entitled Arctic Ocean Freshening Linked to Anthropogenic Climate Change: All Hands on Deck has been submitted to GRL.
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Types
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: Arctic Ocean
Themes: DS03 Physical oceanography
Keywords: Arctic research, freshwater, matlab, oceanography, oceans
Last updated: 01/05/2021
Code library to support processing and quality control of BGC Argo floats.
Welcome to MBARI's ARGO_PROCESSING code repository. The repo has two main subdirectories, one containing our MATLAB code base (MFILES), and one containing supporting reference data (DATA). Within MFILES/FLOATS are a number of functions and data parsers that are internal to processing at MBARI, and that also support the Graphical User Interfaces (GUIs) we developed for quality control of BGC data.
The /MFILES/GUIS/SAGE_O2Argo/ directory holds code used to run our oxygen-specific GUI, SAGE-O2Argo (SOCCOM Assessment and Graphical Evaluation for Oxygen, for use with Argo floats). This version of SAGEO2 was developed specifically for use with Argo netCDF files and assists the user in deriving optode gain correction factors by comparing float oxygen with specific reference datasets (ie WOA2013, and NCEP reanalysis). The software accesses files and routines within other subdirectories of the repository, so be sure to clone the entire repo before launching the GUI software. Additionally, a SAGE-O2Argo user manual with detailed install inscructions can be found within MFILES/GUIS/SAGE_O2Argo/.
The version of SAGEO2 that utilizes .msg files (rather than Argo *.nc files) may be added to this repository in the future under /MFILES/GUIS/SAGE_O2/.
The SAGE GUI (used for correcting pH and NO3- data), has been added under /MFILES/GUIS/SAGE/. This GUI can be used with SOCCOM or NON-SOCCOM floats, although input data files must be in standard SOCCOM ODV-ascii format. A complete user-manual has not yet been developed, but a short readme exists explaining setup instructions under /MFILES/GUIS/SAGE/.
Please note that this code is provided as-is and is subject to periodic updates and improvements. If you are interested in contributing to this repository, please contact Tanya Maurer at tmaurer@mbari.org.
ARGO_PROCESSING package - SOCCOM BGC Argo (ODIS id 1840)
Code library to support processing and quality control of BGC Argo floats.
Welcome to MBARI's ARGO_PROCESSING code repository. The repo has two main subdirectories, one containing our MATLAB code base (MFILES), and one containing supporting reference data (DATA). Within MFILES/FLOATS are a number of functions and data parsers that are internal to processing at MBARI, and that also support the Graphical User Interfaces (GUIs) we developed for quality control of BGC data.
The /MFILES/GUIS/SAGE_O2Argo/ directory holds code used to run our oxygen-specific GUI, SAGE-O2Argo (SOCCOM Assessment and Graphical Evaluation for Oxygen, for use with Argo floats). This version of SAGEO2 was developed specifically for use with Argo netCDF files and assists the user in deriving optode gain correction factors by comparing float oxygen with specific reference datasets (ie WOA2013, and NCEP reanalysis). The software accesses files and routines within other subdirectories of the repository, so be sure to clone the entire repo before launching the GUI software. Additionally, a SAGE-O2Argo user manual with detailed install inscructions can be found within MFILES/GUIS/SAGE_O2Argo/.
The version of SAGEO2 that utilizes .msg files (rather than Argo *.nc files) may be added to this repository in the future under /MFILES/GUIS/SAGE_O2/.
The SAGE GUI (used for correcting pH and NO3- data), has been added under /MFILES/GUIS/SAGE/. This GUI can be used with SOCCOM or NON-SOCCOM floats, although input data files must be in standard SOCCOM ODV-ascii format. A complete user-manual has not yet been developed, but a short readme exists explaining setup instructions under /MFILES/GUIS/SAGE/.
Please note that this code is provided as-is and is subject to periodic updates and improvements. If you are interested in contributing to this repository, please contact Tanya Maurer at tmaurer@mbari.org.
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: Argo, biogeochemistry, data processing, matlab, r-package
Last updated: 15/05/2021
This software is a python implementation of the "OWC" salinity calibration method used in Argo floats Delayed Mode Quality Control.
This software is in very active development and its usage may change any time.
This software is a python implementation of the "OWC" salinity calibration method used in Argo floats Delayed Mode Quality Control.
This software is in very active development and its usage may change any time.
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Types: Software (ocean related)
Languages: English
Countries: REGIONAL
Host Countries: United Kingdom
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: Argo, oceanography, python, quality control
Last updated: 01/05/2021
Argo is a real-time global ocean in situ observing system. It provides thousands of highly
accurate ocean measurements every day. The Argo dataset has now accumulated more than 2.3 million vertical ocean profiles and accessing it for scientific analysis remains a challenge.
The Argo expert community, focused on delivering a curated dataset of the best scientific
quality possible, has never provided its user base with a Python software package to easily access and manipulate Argo measurements: the argopy software aims to fill this gap. The argopy software can be used to easily fetch and manipulate measurements from Argo floats.
It is dedicated to scientists without knowledge of the Argo data management system but is also designed to accommodate expert requirements.
Maze et al., (2020). argopy: A Python library for Argo ocean data analysis. Journal of Open Source Software, 5(53), 2425, https://doi.org/10.21105/joss.02425
Abstract
Argo is a real-time global ocean in situ observing system. It provides thousands of highly
accurate ocean measurements every day. The Argo dataset has now accumulated more than 2.3 million vertical ocean profiles and accessing it for scientific analysis remains a challenge.
The Argo expert community, focused on delivering a curated dataset of the best scientific
quality possible, has never provided its user base with a Python software package to easily access and manipulate Argo measurements: the argopy software aims to fill this gap. The argopy software can be used to easily fetch and manipulate measurements from Argo floats.
It is dedicated to scientists without knowledge of the Argo data management system but is also designed to accommodate expert requirements.
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Types: Software (ocean related)
Languages: English
Countries: France
Host Countries: France
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: Argo, oceanography, python
Last updated: 30/04/2021
This package contains methods to calculate atmospheric quantities (on the Earth) that are directly derivative (i.e. not requiring time integration or modeling) from standard state variables. The AtmQty class that manages these quantities and the AtmConst class of atmosphere-related constants are defined in this package. The current version is 0.2.0.2.
Although I've used these routines in my own research, I cannot guarantee that they will work for your purposes. More disclaimers and other fine print are below. This package has not been developed/maintained since 2004. It's published for historical and educational purposes only. I would not recommend you to use it for your own work as is.
There are three ways of using this package: (1) for its central definition of atmospheric constants, (2) as a suite of procedures to calculate selected atmospheric quantities using Numeric arrays as input, and (3) for the AtmQty object, which manages the calculation of a self-consistent set of atmospheric quantities.
Here we provide a brief summary of using the package. Further description is in the reference manual.
Atmospheric Constants: The AtmConst class provides a comprehensive (someday) and consistent definition of important atmospheric constants. Constants are defined both as class attributes and also as instance attributes whose initial values are set by the class attribute version. This "double-definition" enables one to make local changes to local instances of the AtmConst class without having the changes propagate to all subsequent references. At the same time, you can change the value in all subsequent references, if you wish, by altering and using the class attribute definition.
This package contains methods to calculate atmospheric quantities (on the Earth) that are directly derivative (i.e. not requiring time integration or modeling) from standard state variables. The AtmQty class that manages these quantities and the AtmConst class of atmosphere-related constants are defined in this package. The current version is 0.2.0.2.
Although I've used these routines in my own research, I cannot guarantee that they will work for your purposes. More disclaimers and other fine print are below. This package has not been developed/maintained since 2004. It's published for historical and educational purposes only. I would not recommend you to use it for your own work as is.
There are three ways of using this package: (1) for its central definition of atmospheric constants, (2) as a suite of procedures to calculate selected atmospheric quantities using Numeric arrays as input, and (3) for the AtmQty object, which manages the calculation of a self-consistent set of atmospheric quantities.
Here we provide a brief summary of using the package. Further description is in the reference manual.
Atmospheric Constants: The AtmConst class provides a comprehensive (someday) and consistent definition of important atmospheric constants. Constants are defined both as class attributes and also as instance attributes whose initial values are set by the class attribute version. This "double-definition" enables one to make local changes to local instances of the AtmConst class without having the changes propagate to all subsequent references. At the same time, you can change the value in all subsequent references, if you wish, by altering and using the class attribute definition.
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Types
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS05 Atmosphere
Keywords: atmospheric quantities, python
Last updated: 15/05/2021
AuScope Virtual Rsearch Environment Store (ODIS id: 1802)
http://avre.auscope.org/store
Welcome to the AuScope Virtual Research Environment (AVRE), Australia’s home of geoscience data an ...
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AuScope Virtual Rsearch Environment Store
Welcome to the AuScope Virtual Research Environment (AVRE), Australia’s home of geoscience data and tools that help scientists place the next pieces of our giant, continental puzzle.
The AVRE is a rich ecosystem of Findable, Accessible, Interoperable and Reusable (FAIR) data and tools contributed to by a diverse range of Australian research organisations, government geological surveys and the international community.
Over the last decade we have developed the AVRE architecture using open geospatial data and analytics web services and open data principles, gathering diverse data types – geochemical to geophysical, and built a suite of data visualisation and analytics tools.
We continue to expand the range of data and tools available via the AVRE to support future research, including new and historical datasets. This is performed in multiple projects across the contributing organisations co-operating as part of the AVRE.
AuScope Virtual Rsearch Environment Store (ODIS id 1802)
Welcome to the AuScope Virtual Research Environment (AVRE), Australia’s home of geoscience data and tools that help scientists place the next pieces of our giant, continental puzzle.
The AVRE is a rich ecosystem of Findable, Accessible, Interoperable and Reusable (FAIR) data and tools contributed to by a diverse range of Australian research organisations, government geological surveys and the international community.
Over the last decade we have developed the AVRE architecture using open geospatial data and analytics web services and open data principles, gathering diverse data types – geochemical to geophysical, and built a suite of data visualisation and analytics tools.
We continue to expand the range of data and tools available via the AVRE to support future research, including new and historical datasets. This is performed in multiple projects across the contributing organisations co-operating as part of the AVRE.
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Types
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Types: Software (ocean related)
Languages: English
Countries: Australia
Host Countries: Australia
Sea Region: World
Themes: DS04 Marine geology, DS08 Terrestrial
Keywords: FAIRness, Virtual Research Environment, data access, data analysis, data and tools, data visualization, geoscience data, historical datasets, open access, open data
Last updated: 08/05/2021
https://github.com/IQuOD/AutoQC
Recent studies suggest that changes to global climate as have been seen at the Earth's land and ocea ...
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AutoQC package - International Quality Controlled Ocean Database
Recent studies suggest that changes to global climate as have been seen at the Earth's land and ocean surface are also making their way into the deep ocean, which is the largest active storage system for heat and carbon available on the timescale of a human lifetime. Historical measurements of subsurface ocean temperature are essential to the scientific research investigating the changes in the amount of heat stored in the ocean and also to other climate research activities such as combining observations with numerical models to provide estimates of the global ocean's and Earth's climate state in the past and predictions for the future. Unfortunately, as with all observations, these measurements contain errors and biases that must be identified to prevent a negative impact on the applications and investigations that rely on them. Various groups from around the world have developed quality control tests to perform this important task. However, this has led to duplication of effort, code that is not easily available to other researchers and the introduction of climate model differences solely due to the varying performance of these software systems whose nuances relative to one another are poorly known.
Recently, an international team of researchers has decided to work together to break down the barriers between the various groups and countries through the formation of the IQuOD (International Quality Controlled Dataset) initiative. One of the key aims is to intercompare the performance of the various automatic quality control tests that are presently being run to determine a best performing set. This work has started. However, it currently involves individuals running test datasets through their own systems and is being confounded by complications associated with the differences in the file formats and systems that are in use in the various labs and countries.
The IQuOD proposal is to set up an open quality control benchmarking system. Work will begin by implementing a battery of simple tests to run on some test data, and producing summary statistics and visualizations of the results. Later goals include helping researchers either wrap their existing C, Fortran and MATLAB test functions in Python for use in this test suite, or re-implementing those tests in native Python.
AutoQC package - International Quality Controlled Ocean Database (ODIS id 1897)
AutoQC package - International Quality Controlled Ocean Database
Original (non-English) name
Acronym
AutoQC - IQuOD
Citation
Abstract
Recent studies suggest that changes to global climate as have been seen at the Earth's land and ocean surface are also making their way into the deep ocean, which is the largest active storage system for heat and carbon available on the timescale of a human lifetime. Historical measurements of subsurface ocean temperature are essential to the scientific research investigating the changes in the amount of heat stored in the ocean and also to other climate research activities such as combining observations with numerical models to provide estimates of the global ocean's and Earth's climate state in the past and predictions for the future. Unfortunately, as with all observations, these measurements contain errors and biases that must be identified to prevent a negative impact on the applications and investigations that rely on them. Various groups from around the world have developed quality control tests to perform this important task. However, this has led to duplication of effort, code that is not easily available to other researchers and the introduction of climate model differences solely due to the varying performance of these software systems whose nuances relative to one another are poorly known.
Recently, an international team of researchers has decided to work together to break down the barriers between the various groups and countries through the formation of the IQuOD (International Quality Controlled Dataset) initiative. One of the key aims is to intercompare the performance of the various automatic quality control tests that are presently being run to determine a best performing set. This work has started. However, it currently involves individuals running test datasets through their own systems and is being confounded by complications associated with the differences in the file formats and systems that are in use in the various labs and countries.
The IQuOD proposal is to set up an open quality control benchmarking system. Work will begin by implementing a battery of simple tests to run on some test data, and producing summary statistics and visualizations of the results. Later goals include helping researchers either wrap their existing C, Fortran and MATLAB test functions in Python for use in this test suite, or re-implementing those tests in native Python.
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
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Themes
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: data processing, data quality, python, quality control
Last updated: 26/04/2021
Configuration to help Global Biotic Interactions (GloBI, https://globalbioticinteractions.org) index datasets via the Biological & Chemical Oceanography Data Management Office https://www.bco-dmo.org/ at the Woods Hole Oceanographic Institution http://www.whoi.edu/.
Indexed datasets include:
Almeida, F. (2005) Trophic Ecology of Atlantic Cod, off Cape Cod, MA, from F/V Riena Marie NEC-FA2001-1 in the Gulf of Maine from 2001-2004 (NEC-CoopRes project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version final) Version Date 2005-10-01 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/3087
Note that while the BCO-DMO project maintains a dataset registry and provides open data access, schema's for individual datasets need to be individually created after manually finding datasets that contains species interactions.
Configuration to help Global Biotic Interactions (GloBI, https://globalbioticinteractions.org) index datasets via the Biological & Chemical Oceanography Data Management Office https://www.bco-dmo.org/ at the Woods Hole Oceanographic Institution http://www.whoi.edu/.
Indexed datasets include:
Almeida, F. (2005) Trophic Ecology of Atlantic Cod, off Cape Cod, MA, from F/V Riena Marie NEC-FA2001-1 in the Gulf of Maine from 2001-2004 (NEC-CoopRes project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version final) Version Date 2005-10-01 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/3087
Note that while the BCO-DMO project maintains a dataset registry and provides open data access, schema's for individual datasets need to be individually created after manually finding datasets that contains species interactions.
Technical contact email
please check the record details page
Host institution of the resource
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Interface Languages
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
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Themes
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS06 Cross-discipline
Keywords: data access
Last updated: 01/05/2021
BioticExplorer application - Institute of Marine Research Norway (ODIS id: 1875)
BioticExplorer application - Institute of Marine Research Norway
A Shiny app to explore Biotic data within the Institute of Marine Research Norway (IMR) database.
This is the developmental version of the Biotic Explorer Shiny app intended for examination and manipulation of the Norwegian Maritime Data Center (NMD) standard Biotic xml files as well as the IMR’s Biotic database (see the User guide section). The application has been developed by the Stox team at the IMR.
The app can be run on a desktop (i.e. your computer) for local files and on a server for both local files and the entire IMR Biotic database.
BioticExplorer application - Institute of Marine Research Norway (ODIS id 1875)
BioticExplorer application - Institute of Marine Research Norway
Original (non-English) name
Acronym
BioticExplorer - IMR
Citation
Abstract
A Shiny app to explore Biotic data within the Institute of Marine Research Norway (IMR) database.
This is the developmental version of the Biotic Explorer Shiny app intended for examination and manipulation of the Norwegian Maritime Data Center (NMD) standard Biotic xml files as well as the IMR’s Biotic database (see the User guide section). The application has been developed by the Stox team at the IMR.
The app can be run on a desktop (i.e. your computer) for local files and on a server for both local files and the entire IMR Biotic database.
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Norway
Sea Region: Arctic Ocean, Barents Sea, North Sea, Norwegian Sea
Themes: DS01 Biological oceanography
Keywords: Fish, biology, data exploration, r-package
Last updated: 22/04/2021
Bjerknes Climate Data Centre software repository (ODIS id: 1804)
Types: Software (ocean related)
Languages: English
Countries: Norway
Host Countries: Norway
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS05 Atmosphere
Keywords: Java, data access, data analysis, data processing, javascript, oceanography, python, r-package
Last updated: 16/05/2021
c-squares - Commonwealth Scientific and Industrial Research Organisation (ODIS id: 1443)
http://www.cmar.csiro.au/csquares/
C-squares is a system for storage, querying, display, and exchange of "spatial data" locations and e ...
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c-squares - Commonwealth Scientific and Industrial Research Organisation
C-squares is a system for storage, querying, display, and exchange of "spatial data" locations and extents in a simple, text-based, human- and machine- readable format. It uses numbered (coded) squares on the earth's surface measured in degrees (or fractions of degrees) of latitude and longitude as fundamental units of spatial information, which can then be quoted as single squares (similar to a "global postcode") in which one or more data points are located, or be built up into strings of codes to represent a wide variety of shapes and sizes of spatial data "footprints".
"Spatial data" (short for "geospatial data") in this context means any data which relate to a particular position on the earth's surface - and thus, for example, could be plotted on a map.
c-squares - Commonwealth Scientific and Industrial Research Organisation (ODIS id 1443)
c-squares - Commonwealth Scientific and Industrial Research Organisation
Original (non-English) name
Acronym
c-squares - CSIRO
Citation
Rees, Tony. 2003. "C-Squares", a New Spatial Indexing System and its Applicability to the Description of Oceanographic Datasets. Oceanography 16 (1), pp. 11-19.
Abstract
C-squares is a system for storage, querying, display, and exchange of "spatial data" locations and extents in a simple, text-based, human- and machine- readable format. It uses numbered (coded) squares on the earth's surface measured in degrees (or fractions of degrees) of latitude and longitude as fundamental units of spatial information, which can then be quoted as single squares (similar to a "global postcode") in which one or more data points are located, or be built up into strings of codes to represent a wide variety of shapes and sizes of spatial data "footprints".
"Spatial data" (short for "geospatial data") in this context means any data which relate to a particular position on the earth's surface - and thus, for example, could be plotted on a map.
Calypso - Satellite Data Processing, Archiving and Distribution Center at French research institute for the exploitation of the sea
Calypso allow visualisation and interactive analysis to various data used or produced by GlobWave project for the validation or inter-comparison with satellite data, such as buoys, satellite/buoy matchups or model outputs. This application has been implemented by Ifremer/Cersat and requires flash plugin on your navigator.
Calypso is intended to provide users with some user-friendly means to investigate the content and extent of the various data collected or produced, to visually assess the quality and accuracy of the satellite measurements, as well as displaying or comparing other potiential sources of measurements.
Calypso - Satellite Data Processing, Archiving and Distribution Center at French research institute for the exploitation of the sea (ODIS id 1891)
Calypso - Satellite Data Processing, Archiving and Distribution Center at French research institute for the exploitation of the sea
Original (non-English) name
Acronym
Calypso - CERSAT-IFREMER
Citation
Abstract
Calypso allow visualisation and interactive analysis to various data used or produced by GlobWave project for the validation or inter-comparison with satellite data, such as buoys, satellite/buoy matchups or model outputs. This application has been implemented by Ifremer/Cersat and requires flash plugin on your navigator.
Calypso is intended to provide users with some user-friendly means to investigate the content and extent of the various data collected or produced, to visually assess the quality and accuracy of the satellite measurements, as well as displaying or comparing other potiential sources of measurements.
Technical contact email
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Host institution of the resource
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
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Themes
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: France
Host Countries: France
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Satellite, data analysis
Last updated: 12/06/2021
A Python module for calculating seawater carbon and boron chemistry.
This will be particularly useful for anyone thinking about oceans in the distant past, when Mg and Ca concentrations were different. I use Mathis Hain's MyAMI model to adjust speciation constants for Mg and Ca concentration.
Tested in the modern ocean against GLODAPv2 data (see below). Performs as well as Matlab CO2SYS.
Oscar. (2018, August 23). oscarbranson/cbsyst: beta (Version 0.3.6). Zenodo. http://doi.org/10.5281/zenodo.1402262
Abstract
A Python module for calculating seawater carbon and boron chemistry.
This will be particularly useful for anyone thinking about oceans in the distant past, when Mg and Ca concentrations were different. I use Mathis Hain's MyAMI model to adjust speciation constants for Mg and Ca concentration.
Tested in the modern ocean against GLODAPv2 data (see below). Performs as well as Matlab CO2SYS.
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Countries owning the source
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS02 Chemical oceanography
Keywords: boron, carbon, isotopes, oceanography, oceans, python
Last updated: 15/05/2021
Chad A. Greene, Kaustubh Thirumalai, Kelly A. Kearney, José Miguel Delgado, Wolfgang Schwanghart, Natalie S. Wolfenbarger, … Donald D. Blankenship. (2019, February 18). The Climate Data Toolbox for Matlab (Version v1.00). Zenodo. http://doi.org/10.5281/zenodo.2590731
Abstract
This page lists the contents of Climate Data Tools for Matlab. For help getting started with CDT
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Types
Interaction techs
Contributing data to
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: ARGOS, Argo, CTD, climate, matlab
Last updated: 01/05/2021
Cefas Data Hub (ODIS id: 1082)
http://data.cefas.co.uk
The Centre for the Environment, Fisheries and Aquaculture Science (Cefas), as one of the world's lon ...
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Cefas Data Hub
The Centre for the Environment, Fisheries and Aquaculture Science (Cefas), as one of the world's longest-established marine research organisations, has provided advice on the sustainable exploitation of marine resources since 1902. Today Cefas works in support of a healthy environment and a growing blue economy providing innovative solutions for the aquatic environment, biodiversity and food security. The Cefas Data Portal provides access to over 2125 metadata records, with over 6402 data sets available to download and connect to in support of commitments to Open Science. Datasets available are increasingly diverse and include many legacy datasets including those from fish, shellfish and plankton surveys from the 1980's to the present day. Other increasingly international datasets made available include species migration data from tagging activities and data on habitat and sediment, ecosystem change, human activities including marine litter, otolith sampling and fish stomach contents, oceanography, acoustics, health and water quality. Data is provided under UK Open Government License by default where feasible.
The Centre for the Environment, Fisheries and Aquaculture Science (Cefas), as one of the world's longest-established marine research organisations, has provided advice on the sustainable exploitation of marine resources since 1902. Today Cefas works in support of a healthy environment and a growing blue economy providing innovative solutions for the aquatic environment, biodiversity and food security. The Cefas Data Portal provides access to over 2125 metadata records, with over 6402 data sets available to download and connect to in support of commitments to Open Science. Datasets available are increasingly diverse and include many legacy datasets including those from fish, shellfish and plankton surveys from the 1980's to the present day. Other increasingly international datasets made available include species migration data from tagging activities and data on habitat and sediment, ecosystem change, human activities including marine litter, otolith sampling and fish stomach contents, oceanography, acoustics, health and water quality. Data is provided under UK Open Government License by default where feasible.
Currently over 135 DOIs for data and data products
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets), Information of platforms (buoys, sensors, floats, gliders, satellites), Maps and atlases (geospatial products), Real-time observing systems (and access to their metadata and data), Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United Kingdom
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS06 Cross-discipline, DS10 Environment, DS11 Fisheries and aquaculture, DS12 Human activities
Keywords: Aquatic pathology, Chartering, Climate change, Laboratory services and analysis, Modelling, Programme management, Research, advice and consultancy, Surveys, Training and capacity building, UK and Overseas work, aquatic animal health, assessment and advice, data management, ecosystem understanding, emergency response, marine biodiversity, marine monitoring, ocean and coastal processes, sanitary surveys, sea temperature and salinity trends, seafood safety, sustainable fisheries, technology
Last updated: 30/03/2023
This page provides tide calendars off the coast of Mexico. The forecasts are based on historical hourly sea level data obtained by CICESE, the National Autonomous University of Mexico, or the Secretary of the Navy. Monthly graphic calendars are offered for more than 40 locations.
For partial compatibility with the original page, on this page, you can obtain the platform program for Windows 98/2000 / Me / XP and NT. "MAR V1.0 NEW" which is another source to get the calendars.
This page provides tide calendars off the coast of Mexico. The forecasts are based on historical hourly sea level data obtained by CICESE, the National Autonomous University of Mexico, or the Secretary of the Navy. Monthly graphic calendars are offered for more than 40 locations.
For partial compatibility with the original page, on this page, you can obtain the platform program for Windows 98/2000 / Me / XP and NT. "MAR V1.0 NEW" which is another source to get the calendars.
Join a global movement to keep beaches, waterways and the ocean trash free. Head out to your favorite beach and use the app to easily record each item of trash you collect. Then share your effort with family and friends.
With Clean Swell, simply “Start Collecting” trash wherever you are around the world and the data you collect will instantaneously upload to Ocean Conservancy’s global ocean trash database. These data deliver a global snapshot of ocean trash, providing researchers and policy-makers insight to inform solutions. Join the thousands of International Coastal Cleanup® volunteers who are working for a cleaner ocean by picking up the millions of pounds of trash that wash onto beaches around the world. Even check out your Cleanup history, so anytime, anywhere you can see the impact you’ve had on making our ocean a cleaner and healthier ecosystem.
CleanSwell App Android - Ocean Conservancy (ODIS id 2885)
Join a global movement to keep beaches, waterways and the ocean trash free. Head out to your favorite beach and use the app to easily record each item of trash you collect. Then share your effort with family and friends.
With Clean Swell, simply “Start Collecting” trash wherever you are around the world and the data you collect will instantaneously upload to Ocean Conservancy’s global ocean trash database. These data deliver a global snapshot of ocean trash, providing researchers and policy-makers insight to inform solutions. Join the thousands of International Coastal Cleanup® volunteers who are working for a cleaner ocean by picking up the millions of pounds of trash that wash onto beaches around the world. Even check out your Cleanup history, so anytime, anywhere you can see the impact you’ve had on making our ocean a cleaner and healthier ecosystem.
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS10 Environment
Keywords: Beach litter, Public participation, conservation, cooperation, marine environments, voluntary contributions
Last updated: 14/02/2022
CleanSwell App OS - Ocean Conservancy (ODIS id: 2886)
Join a global movement to keep beaches, waterways and the ocean trash free. Head out to your favorite beach and use the app to easily record each item of trash you collect. Then share your effort with family and friends.
With Clean Swell, simply “Start Collecting” trash wherever you are around the world and the data you collect will instantaneously upload to Ocean Conservancy’s global ocean trash database. These data deliver a global snapshot of ocean trash, providing researchers and policy-makers insight to inform solutions. Join the thousands of International Coastal Cleanup® volunteers who are working for a cleaner ocean by picking up the millions of pounds of trash that wash onto beaches around the world. Even check out your Cleanup history, so anytime, anywhere you can see the impact you’ve had on making our ocean a cleaner and healthier ecosystem.
CleanSwell App OS - Ocean Conservancy (ODIS id 2886)
Join a global movement to keep beaches, waterways and the ocean trash free. Head out to your favorite beach and use the app to easily record each item of trash you collect. Then share your effort with family and friends.
With Clean Swell, simply “Start Collecting” trash wherever you are around the world and the data you collect will instantaneously upload to Ocean Conservancy’s global ocean trash database. These data deliver a global snapshot of ocean trash, providing researchers and policy-makers insight to inform solutions. Join the thousands of International Coastal Cleanup® volunteers who are working for a cleaner ocean by picking up the millions of pounds of trash that wash onto beaches around the world. Even check out your Cleanup history, so anytime, anywhere you can see the impact you’ve had on making our ocean a cleaner and healthier ecosystem.
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS10 Environment
Keywords: Beach litter, Public participation, data collection, voluntary contributions
Last updated: 07/11/2021
Climpact is an R package that calculates indices of daily climate extremes. It can read data for a single site (e.g. a weather station) in the form of a text file, or for gridded data (e.g. from a climate model) in the form of netCDF files. This software directly builds off the R packages climdex.pcic and climdex.pcic.ncdf, developed by the Pacific Climate Impacts Consortium (PCIC).
If you want to calculate these indices from text files then you DO NOT need to install this software, instead go to the Climpact website to calculate these indices online.
Climpact is an R package that calculates indices of daily climate extremes. It can read data for a single site (e.g. a weather station) in the form of a text file, or for gridded data (e.g. from a climate model) in the form of netCDF files. This software directly builds off the R packages climdex.pcic and climdex.pcic.ncdf, developed by the Pacific Climate Impacts Consortium (PCIC).
If you want to calculate these indices from text files then you DO NOT need to install this software, instead go to the Climpact website to calculate these indices online.
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: NetCDF, climate, climate indices, r-package
Last updated: 15/05/2021
This package contains colormaps for commonly-used oceanographic variables. Most of the colormaps started from matplotlib colormaps, but have now been adjusted using the viscm tool to be perceptually uniform.
This package contains colormaps for commonly-used oceanographic variables. Most of the colormaps started from matplotlib colormaps, but have now been adjusted using the viscm tool to be perceptually uniform.
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Types: Software (ocean related)
Languages: English
Countries: Uganda
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere, DS06 Cross-discipline
Keywords: data visualization, oceanography, python
Last updated: 26/04/2021
This repository includes software compatible with MATLAB and GNU Octave for calculating marine CO2 system variables (CO2SYS.m), computing partial derivatives of calculated CO2 system variables with respect to inputs (derivnum.m), and propagating uncertainties for CO2 system calculations (errors.m). This software performs similarly to previously released versions of CO2SYS.m (v1: https://cdiac.ess-dive.lbl.gov/ftp/co2sys/CO2SYS_calc_MATLAB_v1.1/; v2: https://github.com/jamesorr/CO2SYS-MATLAB), and includes the following extended capabilities, additions, and bug fixes (among other minor changes):
Can accept input parameters of [CO3], [HCO3], and [CO2], and propagate their uncertainties
Includes NH3 and HS as alkalinity contributors, and propagates their uncertainties
Uses separate inputs to specify choices for characterizations of K1K2, KSO4, KF, and TB
Does not evaluate input parameters equal to -999 or NaN
Exits pH iteration loops that do not converge and indicates where a problem occurred
Provides exactly identical pH results for a given input line, no matter the other lines of input parameters (this is not necessarily the case for prior versions of CO2SYS.m)
Uses an updated definition of the ideal gas constant (https://physics.nist.gov/cgi-bin/cuu/Value?r)
Fixes bugs in CO2SYS.m Revelle factor calculation and derivnum.m output conditions
Includes K1 and K2 constants defined by Sulpis et al. (2020), K2 constant defined by Schockman and Byrne (2021), KF constant defined by Perez and Fraga (1987), and KSO4 constant of Waters and Millero (2013)
errors.m includes optional calcium concentration uncertainty input as discussed in Dillon et al. (2020)
Also included in this repository is a routine to compare CO2SYSv3 to CO2SYSv2 (compare_versions.m), a routine to calculate substrate-inhibitor ratios ([HCO3]/[H]; Bach, 2015) from CO2SYS output (SIR.m), a routine to calculate total concentrations of conservative elements (Na, Mg, Cl, etc.) from CO2SYS output (TOTALS.m), and an example function to run CO2SYSv3 and plot some of the output (example_CO2SYS.m).
The full citation for CO2SYSv3 (Sharp et al., 2020) is given below. Cite this version if using CO2SYSv3 for CO2 system calculations or propagating errors in CO2 system calculations using the extended errors.m or derivnum.m routines provided here.
If using any CO2SYS program for CO2 system calculations, cite also the original CO2SYS DOS work of Lewis and Wallace (1998).
If using the CO2SYS MATLAB program for CO2 system calculations, cite also the work of van Heuven et al. (2011).
If using the derivnum.m and/or errors.m programs for CO2 system error propagations, cite also the work of Orr et al. (2018).
Abstract
This repository includes software compatible with MATLAB and GNU Octave for calculating marine CO2 system variables (CO2SYS.m), computing partial derivatives of calculated CO2 system variables with respect to inputs (derivnum.m), and propagating uncertainties for CO2 system calculations (errors.m). This software performs similarly to previously released versions of CO2SYS.m (v1: https://cdiac.ess-dive.lbl.gov/ftp/co2sys/CO2SYS_calc_MATLAB_v1.1/; v2: https://github.com/jamesorr/CO2SYS-MATLAB), and includes the following extended capabilities, additions, and bug fixes (among other minor changes):
Can accept input parameters of [CO3], [HCO3], and [CO2], and propagate their uncertainties
Includes NH3 and HS as alkalinity contributors, and propagates their uncertainties
Uses separate inputs to specify choices for characterizations of K1K2, KSO4, KF, and TB
Does not evaluate input parameters equal to -999 or NaN
Exits pH iteration loops that do not converge and indicates where a problem occurred
Provides exactly identical pH results for a given input line, no matter the other lines of input parameters (this is not necessarily the case for prior versions of CO2SYS.m)
Uses an updated definition of the ideal gas constant (https://physics.nist.gov/cgi-bin/cuu/Value?r)
Fixes bugs in CO2SYS.m Revelle factor calculation and derivnum.m output conditions
Includes K1 and K2 constants defined by Sulpis et al. (2020), K2 constant defined by Schockman and Byrne (2021), KF constant defined by Perez and Fraga (1987), and KSO4 constant of Waters and Millero (2013)
errors.m includes optional calcium concentration uncertainty input as discussed in Dillon et al. (2020)
Also included in this repository is a routine to compare CO2SYSv3 to CO2SYSv2 (compare_versions.m), a routine to calculate substrate-inhibitor ratios ([HCO3]/[H]; Bach, 2015) from CO2SYS output (SIR.m), a routine to calculate total concentrations of conservative elements (Na, Mg, Cl, etc.) from CO2SYS output (TOTALS.m), and an example function to run CO2SYSv3 and plot some of the output (example_CO2SYS.m).
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography
Keywords: Modelling, matlab, oceanography
Last updated: 01/05/2021
CO2SYS software for MATLAB (or octave) to compute variables of ocean CO2 system. Here you will find a MATLAB-version of CO2SYS, originally written for DOS. CO2SYS calculates and returns a detailed state of the carbonate system for oceanographic water samples, if supplied with sufficient input. Use the CO2SYS function as you would use any other MATLAB inline function, i.e., a=func(b,c). For much detail about how to use CO2SYS, simply type "help CO2SYS" in MATLAB. The help function also works for the two new uncertainty propagation routines (errors and derivnum). For details on the internal workings of CO2SYS, please refer to the original publication (Lewis and Wallace, 1998) available at http://cdiac.ornl.gov/oceans/co2rprt.html. Since CO2SYS and the two new routines each allow input of vectors, with just one call they can process many samples. Each sample may have a different salinity, temperature, pH scale, dissociation constants, etc.
he original version for DOS was written by Lewis and Wallace (1998). That was translated to MATLAB by Denis Pierrot at CIMAS, University of Miami, Miami, Florida. Then that code was vectorized, refined, and optimized for computational speed by Steven van Heuven, University of Groningen, The Netherlands. Although functionality was added, the output of the CO2SYS function has not changed in form. All versions of CO2SYS that are available at CDIAC (DOS, Excel, MATLAB) should produce nearly identical results when supplied with identical input. Indeed, close agreement between these different versions of CO2SYS was demonstrated by Orr et al. (2015). More recently, CO2SYS-MATLAB has been modified to include uncertainty propagation (Orr et al., 2018): the main routine CO2SYS.m was altered slightly, while two new routines were added (errors.m and derivnum.m)
If you discover inconsistencies or have a more general bug report for CO2SYS.m, please notify S. van Heuven (svheuven at gmail.com), Denis Pierrot (Denis.Pierrot at noaa.gov), or Alex Kozyr (kozyr at ornl.gov). For any concerns about the uncertainty propagation routines (errors.m and derivnum.m), please contact James Orr (james.orr at lsce.ipsl.fr)
CO2SYS software for MATLAB (or octave) to compute variables of ocean CO2 system. Here you will find a MATLAB-version of CO2SYS, originally written for DOS. CO2SYS calculates and returns a detailed state of the carbonate system for oceanographic water samples, if supplied with sufficient input. Use the CO2SYS function as you would use any other MATLAB inline function, i.e., a=func(b,c). For much detail about how to use CO2SYS, simply type "help CO2SYS" in MATLAB. The help function also works for the two new uncertainty propagation routines (errors and derivnum). For details on the internal workings of CO2SYS, please refer to the original publication (Lewis and Wallace, 1998) available at http://cdiac.ornl.gov/oceans/co2rprt.html. Since CO2SYS and the two new routines each allow input of vectors, with just one call they can process many samples. Each sample may have a different salinity, temperature, pH scale, dissociation constants, etc.
he original version for DOS was written by Lewis and Wallace (1998). That was translated to MATLAB by Denis Pierrot at CIMAS, University of Miami, Miami, Florida. Then that code was vectorized, refined, and optimized for computational speed by Steven van Heuven, University of Groningen, The Netherlands. Although functionality was added, the output of the CO2SYS function has not changed in form. All versions of CO2SYS that are available at CDIAC (DOS, Excel, MATLAB) should produce nearly identical results when supplied with identical input. Indeed, close agreement between these different versions of CO2SYS was demonstrated by Orr et al. (2015). More recently, CO2SYS-MATLAB has been modified to include uncertainty propagation (Orr et al., 2018): the main routine CO2SYS.m was altered slightly, while two new routines were added (errors.m and derivnum.m)
If you discover inconsistencies or have a more general bug report for CO2SYS.m, please notify S. van Heuven (svheuven at gmail.com), Denis Pierrot (Denis.Pierrot at noaa.gov), or Alex Kozyr (kozyr at ornl.gov). For any concerns about the uncertainty propagation routines (errors.m and derivnum.m), please contact James Orr (james.orr at lsce.ipsl.fr)
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Types: Software (ocean related)
Languages: English
Countries: France
Host Countries: France
Sea Region: World
Themes: DS02 Chemical oceanography
Keywords: carbon dioxide, carbonate system, matlab, uncertainty propagation routines
Last updated: 09/05/2021
COAMPS Winds Model API - Coastal Observing Research and Development Center (ODIS id: 2318)
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: Atlantic Ocean, Pacific Ocean
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: API, data services, wind
Last updated: 25/09/2021
CoastalTools is a software package written in Matlab™ to load, manipulate, analyse and plot timeseries data of the sort held by the Channel Coastal Observatory (CCO) and the British Oceanographic Data Centre (BODC). It is not intended to replace database utilities such as SANDS™. Instead it allows the user to rapidly load CCO and BODC data sets (typically waves, tides and beach profiles) and to examine derived properties, such as inshore energy, alongshore drift, beach volume change, etc. The models used are relatively simple and not intended as a substitute for more detailed coastal process modelling. However, they are sufficient for rapid assessments and to research such things as storminess, the influence of clustering, beach dynamics, spatial and temporal change, etc. The code is Open Source and issued under a GNU General Public License. For further details, online manual and to download the software see: http://www.coastalsea.uk/#download-page
CoastalTools - Channel Coastal Observatory (ODIS id 1890)
CoastalTools is a software package written in Matlab™ to load, manipulate, analyse and plot timeseries data of the sort held by the Channel Coastal Observatory (CCO) and the British Oceanographic Data Centre (BODC). It is not intended to replace database utilities such as SANDS™. Instead it allows the user to rapidly load CCO and BODC data sets (typically waves, tides and beach profiles) and to examine derived properties, such as inshore energy, alongshore drift, beach volume change, etc. The models used are relatively simple and not intended as a substitute for more detailed coastal process modelling. However, they are sufficient for rapid assessments and to research such things as storminess, the influence of clustering, beach dynamics, spatial and temporal change, etc. The code is Open Source and issued under a GNU General Public License. For further details, online manual and to download the software see: http://www.coastalsea.uk/#download-page
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Types: Software (ocean related)
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Coastal zone, data analysis, time-series
Last updated: 26/04/2021
CoastWatch Image Software - NOAA CoastWatch Great Lakes Node
CoastWatch AVHRR satellite image files, which contain image data, coastline and lat./long. graphics, and header information, are compressed using a special compression format. Thus, a program is needed to decompress the image data and separate the other information for use with the imagery. Once decompressed, the images are converted to 8-bit raster files and can then be displayed using CoastWatch provided software (or any image processing software). A number of computer programs have been developed for both PC, UNIX and MAC workstations, which facilitate the use of the AVHRR sea-surface temperature and albedo imagery.
CoastWatch Image Software - NOAA CoastWatch Great Lakes Node (ODIS id 2881)
CoastWatch Image Software - NOAA CoastWatch Great Lakes Node
Original (non-English) name
Acronym
Citation
Abstract
CoastWatch AVHRR satellite image files, which contain image data, coastline and lat./long. graphics, and header information, are compressed using a special compression format. Thus, a program is needed to decompress the image data and separate the other information for use with the imagery. Once decompressed, the images are converted to 8-bit raster files and can then be displayed using CoastWatch provided software (or any image processing software). A number of computer programs have been developed for both PC, UNIX and MAC workstations, which facilitate the use of the AVHRR sea-surface temperature and albedo imagery.
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: no searegion defined
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: data distribution, environmental data, satellite imagery
Last updated: 14/02/2022
CoastWatch Utilities - NOAA CoastWatch East Coast Regional Node
CoastWatch Utilities is free software for visualization and analysis of satellite data. The Utilities include the CoastWatch Data Analysis Tool (CDAT) and the CoastWatch Utilities Library, both available for download in one package.
CoastWatch Utilities - NOAA CoastWatch East Coast Regional Node (ODIS id 2858)
CoastWatch Utilities - NOAA CoastWatch East Coast Regional Node
Original (non-English) name
Acronym
Citation
Please acknowledge "NOAA CoastWatch/OceanWatch" when you use data from our site and cite the particular dataset DOI as appropriate.
Abstract
CoastWatch Utilities is free software for visualization and analysis of satellite data. The Utilities include the CoastWatch Data Analysis Tool (CDAT) and the CoastWatch Utilities Library, both available for download in one package.
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: Atlantic Ocean
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS10 Environment
Keywords: data access, data and tools, data visualization, open access, satellite data
Last updated: 07/11/2021
CoastWatch Utilities - NOAA CoastWatch West Coast Regional Node
The CoastWatch Utilities, created by the NOAA/NESDIS CoastWatch program, allow users to work with Earth science data created by the NOAA/NESDIS CoastWatch program. Users can easily manipulate and visualize data in CoastWatch HDF format, NOAA 1b format, and some flavors of NetCDF 4. The Utilities are available free via a software package that contains the CoastWatch Utilities Library and the CoastWatch Data Analysis Tool.
CoastWatch Utilities Library:
The CoastWatch Utilities Library contains the complete set of data manipulation and visualization scripts. The scripts are operated from the command line to perform batch processing, both as a stand-alone tool or in conjunction with other programs.
CoastWatch Data Analysis Tool:
CoastWatch Data Analysis Tool is a point-and-click graphical interface for many data manipulation and visualization functions available in the CoastWatch Utilities Library.
CoastWatch Utilities - NOAA CoastWatch West Coast Regional Node (ODIS id 2853)
CoastWatch Utilities - NOAA CoastWatch West Coast Regional Node
Original (non-English) name
Acronym
CoastWatch Utilities - WCRN
Citation
Abstract
The CoastWatch Utilities, created by the NOAA/NESDIS CoastWatch program, allow users to work with Earth science data created by the NOAA/NESDIS CoastWatch program. Users can easily manipulate and visualize data in CoastWatch HDF format, NOAA 1b format, and some flavors of NetCDF 4. The Utilities are available free via a software package that contains the CoastWatch Utilities Library and the CoastWatch Data Analysis Tool.
CoastWatch Utilities Library:
The CoastWatch Utilities Library contains the complete set of data manipulation and visualization scripts. The scripts are operated from the command line to perform batch processing, both as a stand-alone tool or in conjunction with other programs.
CoastWatch Data Analysis Tool:
CoastWatch Data Analysis Tool is a point-and-click graphical interface for many data manipulation and visualization functions available in the CoastWatch Utilities Library.
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: Pacific Ocean
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS10 Environment
Keywords: data access, data and tools, data visualization, environmental data, open access
Last updated: 06/11/2021
Code Repository - Scientific Committee on Antarctic Research (ODIS id: 1870)
Code Repository - Scientific Committee on Antarctic Research
Original (non-English) name
Acronym
Code Repository - SCAR
Citation
Abstract
The Scientific Committee on Antarctic Research (SCAR) code repository
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Types: Software (ocean related)
Languages: English
Countries: Australia
Host Countries: Australia
Sea Region: Southern Ocean
Themes: DS01 Biological oceanography
Keywords: antarctica, biogeography, data analysis, diet, diet and energetics data
Last updated: 22/04/2021
Collaborative Environment for Scholarly Research and Analysis - Terrestrial Ecosystem Research Network (ODIS id: 3032)
https://coesra.tern.org.au/
CoESRA is a free cloud-based virtual desktop workbench to perform complex data analysis workflows an ...
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Collaborative Environment for Scholarly Research and Analysis - Terrestrial Ecosystem Research Network
CoESRA is a free cloud-based virtual desktop workbench to perform complex data analysis workflows and share the work embedded in a web browser accessible with AAF (Australian Access Federation) and Google account.
The CoESRA provides CentOS (7.5) & Ubuntu (16.04) operating systems virtual desktop environment with tools like Biodiverse GUI, Canopy (IDE for python and Notebook), Jupyter Lab, Kepler scientific workflow, Knime, Dropbox, LibreOffice Math, ownCloud Client, Macroeco Desktop, OpenRefine, Panoply, QGIS and RStudio. All these tools can be accessible by logging into a CoESRA website using an Australian Access Federation (AAF) or Google account. Following are some of the salient features of CoESRA:
Provide virtual desktop environment accessible via a web browser,
Ability to store data for both public and private use inside the environment,
Tools to enable users to create, execute and share simulations,
Ability to use Nimrod K with Kepler scientific workflow to distribute jobs,
Provide access to re-usable repeatable Kepler scientific workflows.
A user is able to access the virtual desktop from their web browser (Google Chrome is highly recommended) once the registration process is completed.
Collaborative Environment for Scholarly Research and Analysis - Terrestrial Ecosystem Research Network (ODIS id 3032)
Collaborative Environment for Scholarly Research and Analysis - Terrestrial Ecosystem Research Network
Original (non-English) name
Acronym
CoESRA - TERN
Citation
Abstract
CoESRA is a free cloud-based virtual desktop workbench to perform complex data analysis workflows and share the work embedded in a web browser accessible with AAF (Australian Access Federation) and Google account.
The CoESRA provides CentOS (7.5) & Ubuntu (16.04) operating systems virtual desktop environment with tools like Biodiverse GUI, Canopy (IDE for python and Notebook), Jupyter Lab, Kepler scientific workflow, Knime, Dropbox, LibreOffice Math, ownCloud Client, Macroeco Desktop, OpenRefine, Panoply, QGIS and RStudio. All these tools can be accessible by logging into a CoESRA website using an Australian Access Federation (AAF) or Google account. Following are some of the salient features of CoESRA:
Provide virtual desktop environment accessible via a web browser,
Ability to store data for both public and private use inside the environment,
Tools to enable users to create, execute and share simulations,
Ability to use Nimrod K with Kepler scientific workflow to distribute jobs,
Provide access to re-usable repeatable Kepler scientific workflows.
A user is able to access the virtual desktop from their web browser (Google Chrome is highly recommended) once the registration process is completed.
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Countries owning the source
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Types
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Types: Software (ocean related)
Languages: English
Countries: Australia
Host Countries: Australia
Sea Region: no searegion defined
Themes: DS08 Terrestrial, DS10 Environment
Keywords: Ecosystems, Virtual Research Environment, data analysis
Last updated: 25/12/2021
Community size spectrum simulator - Centre for Ocean Life (ODIS id: 2250)
Community size spectrum simulator - Centre for Ocean Life
Calculate the expected ecosystem effect of a management plan involving changing the fishing mortality on one aspect of the fish community from an "initial" fishing pattern to "new" fishing pattern.
Community size spectrum simulator - Centre for Ocean Life (ODIS id 2250)
Community size spectrum simulator - Centre for Ocean Life
Original (non-English) name
Acronym
Citation
Abstract
Calculate the expected ecosystem effect of a management plan involving changing the fishing mortality on one aspect of the fish community from an "initial" fishing pattern to "new" fishing pattern.
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Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Software (ocean related)
Languages: English
Countries: Denmark
Host Countries: Denmark
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: Modelling, biomass, data analysis, ecosystem assessment
Last updated: 05/09/2021
CoTeDe is an Open Source Python package to quality control (QC) oceanographic data such as temperature and salinity. It was designed to attend individual scientists as well as real-time operations on large data centers. To achieve that, CoTeDe is highly customizable, giving the user full control to compose the desired set of tests including the specific parameters of each test, or choose from a list of preset QC procedures.
I believe that we can do better than we have been doing with more flexible classification techniques, which includes machine learning. My goal is to minimize the burden on manual expert QC improving the consistency, performance, and reliability of the QC procedure for oceanographic data, especially for real-time operations.
CoTeDe is the result from several generations of quality control systems that started in 2006 with real-time QC of TSGs and were later expanded for other platforms including CTDs, XBTs, gliders, and others.
CoTeDe contains several QC procedures that can be easily combined in different ways:
Pre-set standard tests according to the recommendations by GTSPP, EGOOS, XBT, Argo or QARTOD;
Custom set of tests, including user defined thresholds;
Two different fuzzy logic approaches: as proposed by Timms et. al 2011 & Morello et. al. 2014, and using usual defuzification by the bisector;
A novel approach based on Anomaly Detection, described by Castelao 2021 (available since 2014 http://arxiv.org/abs/1503.02714).
Each measuring platform is a different realm with its own procedures, metadata, and meaningful visualization. So CoTeDe focuses on providing a robust framework with the procedures and lets each application, and the user, to decide how to drive the QC. For instance, the pySeabird package is another package that understands CTD and uses CoTeDe as a plugin to QC.
Castelao, Guilherme. (2020, March 31). CoTeDe: Quality Controlling Oceanographic Data (Version v0.21.3). Zenodo. http://doi.org/10.5281/zenodo.3733959
Abstract
CoTeDe is an Open Source Python package to quality control (QC) oceanographic data such as temperature and salinity. It was designed to attend individual scientists as well as real-time operations on large data centers. To achieve that, CoTeDe is highly customizable, giving the user full control to compose the desired set of tests including the specific parameters of each test, or choose from a list of preset QC procedures.
I believe that we can do better than we have been doing with more flexible classification techniques, which includes machine learning. My goal is to minimize the burden on manual expert QC improving the consistency, performance, and reliability of the QC procedure for oceanographic data, especially for real-time operations.
CoTeDe is the result from several generations of quality control systems that started in 2006 with real-time QC of TSGs and were later expanded for other platforms including CTDs, XBTs, gliders, and others.
CoTeDe contains several QC procedures that can be easily combined in different ways:
Pre-set standard tests according to the recommendations by GTSPP, EGOOS, XBT, Argo or QARTOD;
Custom set of tests, including user defined thresholds;
Two different fuzzy logic approaches: as proposed by Timms et. al 2011 & Morello et. al. 2014, and using usual defuzification by the bisector;
A novel approach based on Anomaly Detection, described by Castelao 2021 (available since 2014 http://arxiv.org/abs/1503.02714).
Each measuring platform is a different realm with its own procedures, metadata, and meaningful visualization. So CoTeDe focuses on providing a robust framework with the procedures and lets each application, and the user, to decide how to drive the QC. For instance, the pySeabird package is another package that understands CTD and uses CoTeDe as a plugin to QC.
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
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Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: CTD, Glider, XBT, oceanography, python, quality control, thermosalinograph
Last updated: 15/05/2021
To help you form in oceanography, it is important to easily and at any time the best course of Oceanography.
This free app is a dynamic library supplied by the best French educational websites specialize in courses of Oceanography.
The courses on the following themes are present in our application.
- History of oceanography
- Marine biology
- Marine Ecology
- Ichthyology
- Chemical Oceanography
- Marine geology
- Physical Oceanography
- Marine meteorology
- Marine Engineering
To help you form in oceanography, it is important to easily and at any time the best course of Oceanography.
This free app is a dynamic library supplied by the best French educational websites specialize in courses of Oceanography.
The courses on the following themes are present in our application.
- History of oceanography
- Marine biology
- Marine Ecology
- Ichthyology
- Chemical Oceanography
- Marine geology
- Physical Oceanography
- Marine meteorology
- Marine Engineering
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Types: Software (ocean related)
Languages: English
Countries: France
Host Countries: France
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS06 Cross-discipline, DS12 Human activities
Keywords: education, mobile phone application, oceanography, oceans
Last updated: 12/12/2021
The csasAtlPhys R package supports DFO Atlantic region physical oceanography CSAS analysis.
csasAtlPhys helps support data analysis to produce data products presented in the research document that summarizes the meteorological and physical oceanographic conditions on the Scotian shelf and Gulf of Maine, as seen here.
This package mainly has functionality to download and read various data sources around the web. It also has some basic plotting methods used to produce consistent plots required for the document. In addition, it had some functions for some types of calculations. Various files that are critical for various aspects of the analysis also reside in this package to insure that they are never lost.
Please note that this package does not have any figures or data output for the analysis described above.
This package is in active development, and due to the nature of the package, there is no plan at this time to submit to CRAN.
The csasAtlPhys R package supports DFO Atlantic region physical oceanography CSAS analysis.
csasAtlPhys helps support data analysis to produce data products presented in the research document that summarizes the meteorological and physical oceanographic conditions on the Scotian shelf and Gulf of Maine, as seen here.
This package mainly has functionality to download and read various data sources around the web. It also has some basic plotting methods used to produce consistent plots required for the document. In addition, it had some functions for some types of calculations. Various files that are critical for various aspects of the analysis also reside in this package to insure that they are never lost.
Please note that this package does not have any figures or data output for the analysis described above.
This package is in active development, and due to the nature of the package, there is no plan at this time to submit to CRAN.
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Types
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Contributing data to
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Types: Software (ocean related)
Languages: English
Countries: Canada
Host Countries: Canada
Sea Region: Atlantic Ocean
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: data access, data analysis, data visualization, oceanography, r-package
Last updated: 01/05/2021
CSR Application - Iranian National Center for Ocean Data (ODIS id: 692)
CSR Application - Iranian National Center for Ocean Data
INCOD has developed CSR entry tool based on ISO 19139 standard.
This application was developed in order to manipulate and publish CSR records by marine organizations. It is freely accessible through INCOD portal.
CSR Application - Iranian National Center for Ocean Data (ODIS id 692)
CSR Application - Iranian National Center for Ocean Data
Original (non-English) name
Acronym
CSR Application - INCOD
Citation
Abstract
INCOD has developed CSR entry tool based on ISO 19139 standard.
This application was developed in order to manipulate and publish CSR records by marine organizations. It is freely accessible through INCOD portal.
Data-Interpolating Variational Analysis in n dimensions Software
DIVAnd (Data-Interpolating Variational Analysis in n dimensions) performs an n-dimensional variational analysis/gridding of arbitrarily located observations. Observations will be interpolated/analyzed on a curvilinear grid in 1, 2, 3 or more dimensions. In this sense it is a generalization of the original two-dimensional DIVA version (still available here https://github.com/gher-ulg/DIVA but not further developed anymore).
The method bears some similarities and equivalences with Optimal Interpolation or Krigging in that it allows to create a smooth and continous field from a collection of observations, observations which can be affected by errors. The analysis method is however different in practise, allowing to take into account topological features, physical constraints etc in a natural way. The method was initially developped with ocean data in mind, but it can be applied to any field where localized observations have to be used to produce gridded fields which are "smooth".
See also https://gher-ulg.github.io/DIVAnd-presentation/#1
Data-Interpolating Variational Analysis in n dimensions Software (ODIS id 1796)
Data-Interpolating Variational Analysis in n dimensions Software
Original (non-English) name
Acronym
DIVAnd Software
Citation
Barth, A., Beckers, J.-M., Troupin, C., Alvera-Azcárate, A., and Vandenbulcke, L.: DIVAnd-1.0: n-dimensional variational data analysis for ocean observations, Geosci. Model Dev., 7, 225-241, doi:10.5194/gmd-7-225-2014, 2014.
Abstract
DIVAnd (Data-Interpolating Variational Analysis in n dimensions) performs an n-dimensional variational analysis/gridding of arbitrarily located observations. Observations will be interpolated/analyzed on a curvilinear grid in 1, 2, 3 or more dimensions. In this sense it is a generalization of the original two-dimensional DIVA version (still available here https://github.com/gher-ulg/DIVA but not further developed anymore).
The method bears some similarities and equivalences with Optimal Interpolation or Krigging in that it allows to create a smooth and continous field from a collection of observations, observations which can be affected by errors. The analysis method is however different in practise, allowing to take into account topological features, physical constraints etc in a natural way. The method was initially developped with ocean data in mind, but it can be applied to any field where localized observations have to be used to produce gridded fields which are "smooth".
See also https://gher-ulg.github.io/DIVAnd-presentation/#1
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Belgium
Host Countries: Belgium
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: DIVA, Julia, data analysis, interpolation, oceanography
Last updated: 08/05/2021
DIVA allows the spatial interpolation of data (analysis) in an optimal way, comparable to optimal interpolation (OI). In comparison to OI, it takes into account coastlines, sub-basins and advection. Calculations are highly optimized and rely on a finite element resolution.
Tools to generate the finite element mesh are provided as well as tools to optimize the parameters of the analysis. Quality control of data can be performed and error fields can be calculated. In addition, detrending of data is possible. Finally 3D and 4D extensions are included with emphasis on direct computations of climatologies from Ocean Data View (ODV) spreadsheet files.
Data-Interpolating Variational Analysis Software (ODIS id 1795)
GHER-Diva, Charles Troupin, Sylvain Watelet, jmbeckers, & Alexander Barth. (2018, August 31). gher-ulg/DIVA: v4.7.2 (Version v4.7.2). Zenodo. http://doi.org/10.5281/zenodo.1407062
Abstract
DIVA allows the spatial interpolation of data (analysis) in an optimal way, comparable to optimal interpolation (OI). In comparison to OI, it takes into account coastlines, sub-basins and advection. Calculations are highly optimized and rely on a finite element resolution.
Tools to generate the finite element mesh are provided as well as tools to optimize the parameters of the analysis. Quality control of data can be performed and error fields can be calculated. In addition, detrending of data is possible. Finally 3D and 4D extensions are included with emphasis on direct computations of climatologies from Ocean Data View (ODV) spreadsheet files.
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Belgium
Host Countries: Belgium
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: DIVA, SeaDataNet, data analysis, fortran, interpolation, ocean sciences, oceanography
Last updated: 08/05/2021
Data Analysis Software - NASA's Ocean Biology Distributed Active Archive Center (ODIS id: 1865)
https://seadas.gsfc.nasa.gov/
SeaDAS is a comprehensive software package for the processing, display, analysis, and quality contro ...
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Data Analysis Software - NASA's Ocean Biology Distributed Active Archive Center
SeaDAS is a comprehensive software package for the processing, display, analysis, and quality control of ocean color data. While the primary focus of SeaDAS is ocean color data, it is applicable to many satellite-based earth science data analyses. Originally developed to support the SeaWiFS mission, it now supports most U.S. and international ocean color missions.
Data Analysis Software - NASA's Ocean Biology Distributed Active Archive Center (ODIS id 1865)
Data Analysis Software - NASA's Ocean Biology Distributed Active Archive Center
Original (non-English) name
Acronym
SeaDAS - OB.DAAC
Citation
Abstract
SeaDAS is a comprehensive software package for the processing, display, analysis, and quality control of ocean color data. While the primary focus of SeaDAS is ocean color data, it is applicable to many satellite-based earth science data analyses. Originally developed to support the SeaWiFS mission, it now supports most U.S. and international ocean color missions.
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere
Keywords: data analysis, data processing, data quality, ocean colour, quality control
Last updated: 21/04/2021
Data Prep Scripts - NASA's Land Processes Distributed Active Archive Center (ODIS id: 1862)
Data Prep Scripts - NASA's Land Processes Distributed Active Archive Center
This collection of R and Python scripts can be used to download data and perform basic data processing functions such as georeferencing, reprojecting, converting, and reformatting data. Scripts are available in Python and/or R and each have a README that provides additional information. All scripts are available for download from the LP DAAC User Resources BitBucket Code Repository.
Data Prep Scripts - NASA's Land Processes Distributed Active Archive Center (ODIS id 1862)
Data Prep Scripts - NASA's Land Processes Distributed Active Archive Center
Original (non-English) name
Acronym
Data Prep Scripts - LP DAAC
Citation
Abstract
This collection of R and Python scripts can be used to download data and perform basic data processing functions such as georeferencing, reprojecting, converting, and reformatting data. Scripts are available in Python and/or R and each have a README that provides additional information. All scripts are available for download from the LP DAAC User Resources BitBucket Code Repository.
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
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Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: data processing
Last updated: 21/04/2021
Data Products and Services - Geo-Seas (ODIS id: 2037)
Geological and geophysical data comprise analytical data and data products which are derived from seabed sediment samples, boreholes, borehole samples, geophysical surveys (seismic, gravity, magnetic) of the seabed and sub-seabed, cone penetration tests, and sides can sonar surveys. The data, products and services being delivered by the Geo-Seas project can be used by a number of sectors including: environmental research and monitoring; academic research; government; national and regional agencies; dredging; marine hydrocarbons; beach nourishment; land reclamation; sustainable energy; civil engineering (pipelines, offshore construction, aggregates); communications (submarine cables); shipping; fisheries; and tourism.
As part of Geo-Seas a number of new data products and services have been developed with input from the user consultation that was conducted early in the project. This included an online user survey, conducted from mid December 2009 to June 2010 to learn more about user requirements, followed up by an in-depth user consultation conducted through one-to-one interviews, either in-person or by telephone, and small focus group meetings.
Geo-Seas has developed the following new data products and viewing services, also in crossfertilisation with the on-going SeaDataNet II, One-Geology Europe, EUROFLEETS, EMODNet Geology and EMODNet Hydrography projects:
- Digital Terrain Model and 3D viewing software,
- Digital Terrain Model and 2D viewing service,
- Borehole Viewer software,
- Standardization in seabed habitat mapping.
In addition, a pilot was undertaken for seismic viewing services. However this pilot is discontinued.
Furthermore, OGC standards have been adopted for the distribution and viewing services. These comprise Web Map Services (WMS) and Web Feature Services (WFS), supporting the quick viewing and visualization of data sets and data products.
Data Products and Services - Geo-Seas (ODIS id 2037)
Geological and geophysical data comprise analytical data and data products which are derived from seabed sediment samples, boreholes, borehole samples, geophysical surveys (seismic, gravity, magnetic) of the seabed and sub-seabed, cone penetration tests, and sides can sonar surveys. The data, products and services being delivered by the Geo-Seas project can be used by a number of sectors including: environmental research and monitoring; academic research; government; national and regional agencies; dredging; marine hydrocarbons; beach nourishment; land reclamation; sustainable energy; civil engineering (pipelines, offshore construction, aggregates); communications (submarine cables); shipping; fisheries; and tourism.
As part of Geo-Seas a number of new data products and services have been developed with input from the user consultation that was conducted early in the project. This included an online user survey, conducted from mid December 2009 to June 2010 to learn more about user requirements, followed up by an in-depth user consultation conducted through one-to-one interviews, either in-person or by telephone, and small focus group meetings.
Geo-Seas has developed the following new data products and viewing services, also in crossfertilisation with the on-going SeaDataNet II, One-Geology Europe, EUROFLEETS, EMODNet Geology and EMODNet Hydrography projects:
- Digital Terrain Model and 3D viewing software,
- Digital Terrain Model and 2D viewing service,
- Borehole Viewer software,
- Standardization in seabed habitat mapping.
In addition, a pilot was undertaken for seismic viewing services. However this pilot is discontinued.
Furthermore, OGC standards have been adopted for the distribution and viewing services. These comprise Web Map Services (WMS) and Web Feature Services (WFS), supporting the quick viewing and visualization of data sets and data products.
Technical contact email
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Host institution of the resource
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Sea Region
Spatial Coverage
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Software (ocean related)
Languages: English
Countries: REGIONAL
Host Countries: REGIONAL
Sea Region: World
Themes: DS04 Marine geology
Keywords: data products, data visualization, geoscience data, mapping, open access
Last updated: 04/07/2021
Data Recipes - Global Hydrometeorology Resource Center (ODIS id: 2005)
Data Recipes - Global Hydrometeorology Resource Center
Tutorials or step-by-step instructions have been developed by GHRC staff to help you learn to discover, visualize and use new data, information, software and techniques. These recipes cover a variety of datasets and processing languages/software.
Data Recipes - Global Hydrometeorology Resource Center (ODIS id 2005)
Data Recipes - Global Hydrometeorology Resource Center
Original (non-English) name
Acronym
Data Recipes - GHRC
Citation
Abstract
Tutorials or step-by-step instructions have been developed by GHRC staff to help you learn to discover, visualize and use new data, information, software and techniques. These recipes cover a variety of datasets and processing languages/software.
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Host institution of the resource
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
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DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Education and training materials (related to oceans), Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS05 Atmosphere, DS06 Cross-discipline
Keywords: Information and knowledge products, Training and education, data analysis, e-learning, education, knowledge and information
Last updated: 07/06/2021
Data Submission Form - National Snow and Ice Data Center (ODIS id: 1473)
Data Submission Form - National Snow and Ice Data Center
If you are an investigator with data related to the Earth's frozen regions and their role in global climate, you might consider submitting your data to NSIDC.
To this end, we fully credit all data contributors in documentation, metadata, and references, and we encourage data users to formally cite our contributors. We are also willing to hold or restrict data distribution, as appropriate, to address ethical or proprietary considerations or to provide a brief embargo period of exclusive use.
Data Submission Form - National Snow and Ice Data Center (ODIS id 1473)
Data Submission Form - National Snow and Ice Data Center
Original (non-English) name
Acronym
Data Submission Form - NSIDC
Citation
Abstract
If you are an investigator with data related to the Earth's frozen regions and their role in global climate, you might consider submitting your data to NSIDC.
To this end, we fully credit all data contributors in documentation, metadata, and references, and we encourage data users to formally cite our contributors. We are also willing to hold or restrict data distribution, as appropriate, to address ethical or proprietary considerations or to provide a brief embargo period of exclusive use.
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS05 Atmosphere
Keywords: Climate change, Data Network, climate, climate data, climate research, climatology, cryosphere, data archive, data collection, data harmonization, data management, data quality, glaciers, ice, sea ice
Last updated: 19/10/2021
Decimal Degree to Degree-Minute-Second and Vice Versa Tool (ODIS id: 3279)
Get the latest breaking news daily, comprehensive in-depth articles, unbiased reviews, and regular features on Freediving, Scuba Diving, Ocean Advocacy, and Diving Travel via the official DeeperBlue.com app.
DeeperBlue.com is one of the premier online destinations for divers. Founded in 1996 we have a thriving community built around those passionate about the underwater world. DeeperBlue.com is far more than just a simple dive blog or forum – the site has strong editorial feature articles, daily news on diving, a thriving forum, user-submitted photo galleries, and a global social media presence.
Some features of the new DeeperBlue.com App are:
• Access the full range of daily DeeperBlue.com diving journalism, specially designed for your Phone or Tablet
• Stay up to date with live news with notifications
• In-depth features covering Freediving, Scuba Diving, Ocean Advocacy, and Diving Travel
• Check out our ultimate guides to diving including our Beginner Guides and Top Dive Sites of the World
• Watch our Video of the Week directly in the app.
• Receive notifications and alerts to stay informed on the underwater world
• Choose what you are interested in
• Read comments on articles and share your own thoughts
• Share stories by email, Whatsapp, and your favorite social media app
• Search our extensive archives directly in the app.
This app is totally free to download and use.
Get the latest breaking news daily, comprehensive in-depth articles, unbiased reviews, and regular features on Freediving, Scuba Diving, Ocean Advocacy, and Diving Travel via the official DeeperBlue.com app.
DeeperBlue.com is one of the premier online destinations for divers. Founded in 1996 we have a thriving community built around those passionate about the underwater world. DeeperBlue.com is far more than just a simple dive blog or forum – the site has strong editorial feature articles, daily news on diving, a thriving forum, user-submitted photo galleries, and a global social media presence.
Some features of the new DeeperBlue.com App are:
• Access the full range of daily DeeperBlue.com diving journalism, specially designed for your Phone or Tablet
• Stay up to date with live news with notifications
• In-depth features covering Freediving, Scuba Diving, Ocean Advocacy, and Diving Travel
• Check out our ultimate guides to diving including our Beginner Guides and Top Dive Sites of the World
• Watch our Video of the Week directly in the app.
• Receive notifications and alerts to stay informed on the underwater world
• Choose what you are interested in
• Read comments on articles and share your own thoughts
• Share stories by email, Whatsapp, and your favorite social media app
• Search our extensive archives directly in the app.
This app is totally free to download and use.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
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Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United Kingdom
Sea Region: World
Themes: DS12 Human activities
Keywords: freediving, mobile phone application, ocean advocacy, scuba diving
Last updated: 11/12/2021
Wind, waves and currents shape our coasts. Climate change and rising sea levels add further to this pressure. To enable us to live safely along our shores, we need effective coastal and marine management. Moreover, these coastal processes do not present the only threat. We must also protect ourselves against river and pluvial flooding, while on the other hand we need that water for transport, irrigation, energy, cooling, recreation, environmental protection and as a source of drinking water. Consequently, design and management procedures become more complex and require an integrated approach. In response to this challenge, Deltares has developed a powerful modelling suite called the Delft3D Flexible Mesh Suite, focusing primarily on coastal, estuarine, river, rural and urban environments.
The Delft3D Flexible Mesh Suite (Delft3D FM) is the successor of the structured Delft3D 4 Suite. Like Delft3D 4, the Delft3D FM Suite can simulate storm surges, hurricanes, tsunamis, detailed flows and water levels, waves, sediment transport and morphology, water quality and ecology, and is capable of handling the interactions between these processes. The suite is designed for use by domain experts and non-experts alike, which may range from consultants and engineers or contractors, to regulators and government officials, all of whom are active in one or more of the stages of the design, implementation and management cycle.
Wind, waves and currents shape our coasts. Climate change and rising sea levels add further to this pressure. To enable us to live safely along our shores, we need effective coastal and marine management. Moreover, these coastal processes do not present the only threat. We must also protect ourselves against river and pluvial flooding, while on the other hand we need that water for transport, irrigation, energy, cooling, recreation, environmental protection and as a source of drinking water. Consequently, design and management procedures become more complex and require an integrated approach. In response to this challenge, Deltares has developed a powerful modelling suite called the Delft3D Flexible Mesh Suite, focusing primarily on coastal, estuarine, river, rural and urban environments.
The Delft3D Flexible Mesh Suite (Delft3D FM) is the successor of the structured Delft3D 4 Suite. Like Delft3D 4, the Delft3D FM Suite can simulate storm surges, hurricanes, tsunamis, detailed flows and water levels, waves, sediment transport and morphology, water quality and ecology, and is capable of handling the interactions between these processes. The suite is designed for use by domain experts and non-experts alike, which may range from consultants and engineers or contractors, to regulators and government officials, all of whom are active in one or more of the stages of the design, implementation and management cycle.
This page provides the Jupyter notebooks (examples and exercises) for the DIVAnd user workshops and training sessions organised in the frame of H2020 SeaDataCloud project.
Diva and DIVAnd are software tools designed to generate gridded fields from in-situ observations.
Objectives
The 1st workshop (Liège, 3-6 April 2018) was focused on the creation of gridded products and climatologies using DIVAnd. The organizational details are available.
Within the 2nd SeaDataCloud training course (19-26 June 2019), the objective is to introduce participants to the Julia language, the Jupyter notebooks and the new Virtual Research Environment.
The 2nd workshop (Bologna, 27-30 January 2020) was attended by beginners, intermediate and advanced users, and the goal was to help them create new products with DIVAnd.
Charles Troupin, Alexander Barth, jmbeckers, Sylvain Watelet, & Katrin Leinweber. (2020, April 27). gher-ulg/Diva-Workshops: v1.2 (Version v1.2). Zenodo. http://doi.org/10.5281/zenodo.3769037
Abstract
This page provides the Jupyter notebooks (examples and exercises) for the DIVAnd user workshops and training sessions organised in the frame of H2020 SeaDataCloud project.
Diva and DIVAnd are software tools designed to generate gridded fields from in-situ observations.
Objectives
The 1st workshop (Liège, 3-6 April 2018) was focused on the creation of gridded products and climatologies using DIVAnd. The organizational details are available.
Within the 2nd SeaDataCloud training course (19-26 June 2019), the objective is to introduce participants to the Julia language, the Jupyter notebooks and the new Virtual Research Environment.
The 2nd workshop (Bologna, 27-30 January 2020) was attended by beginners, intermediate and advanced users, and the goal was to help them create new products with DIVAnd.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Education and training materials (related to oceans), Software (ocean related)
Languages: English
Countries: Belgium
Host Countries: GLOBAL
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS05 Atmosphere, DS06 Cross-discipline
Keywords: DIVA, SeaDataNet, data analysis, interpolation, oceanography, python, spatial analysis
Last updated: 29/04/2021
DondeLaViste? App allows you to share information about geolocated sightings of fauna, marine mammals and marine and coastal birds throughout Chile. You can enter online and offline sightings, including photographic record of the event, at any time.
You can learn good practices through tips when making animal sightings, as well as knowing information about the species that inhabit the area.
A network of experts in the identification of marine fauna will validate the sightings, making comments to the users to enrich their experience.
The app is developed jointly by the Institute of Electricity and Electronics of the Austral University of Chile and WWF Chile.
DondeLaViste? App allows you to share information about geolocated sightings of fauna, marine mammals and marine and coastal birds throughout Chile. You can enter online and offline sightings, including photographic record of the event, at any time.
You can learn good practices through tips when making animal sightings, as well as knowing information about the species that inhabit the area.
A network of experts in the identification of marine fauna will validate the sightings, making comments to the users to enrich their experience.
The app is developed jointly by the Institute of Electricity and Electronics of the Austral University of Chile and WWF Chile.
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Chile
Sea Region: Pacific Ocean
Themes: DS01 Biological oceanography
Keywords: Marine Species, marine mammals, mobile phone application, sightings
Last updated: 11/12/2021
DONIA: Navigate Anchor and Protect (ODIS id: 3194)
DONIA - Enjoy & protect the sea, together!
Free access to cartography of the seabed and up-to-date regulated areas for a safe anchorage. Anchoring in Posidonia meadows is forbidden and punishable by law.
DONIA is a community marine cartography application for smartphones and tablets. It is intended for boaters, yachtsmen, divers, fishermen and all sea lovers who wish to benefit from accurate maps, enriched with data on marine life and real-time information on surface activities.
DONIA is first and foremost a community of enthusiasts who exchange information to make their sea trips easier, richer in discoveries and who want to help protect the environment.
DONIA works and raises awareness of environmental preservation by providing extremely accurate maps of the nature of the seabed, enabling Mediterranean yachtsmen to anchor outside sensitive ecosystems such as Posidonia meadows and coralligenous reefs. The application provides access to various navigation data and functionalities such as regulatory and navigation tools (port information, anchorages, dive sites, heading and arrow for prediction of time, speed, waypoints and measurement tools, navigation) and safety at sea (skid, entanglement and collision alarm pack); AIS (Automatic Identification System) data from the AISHUb network; weather forecasts every 3 hours up to + 72 hours; sheltered anchorage areas depending on the weather, community tools, local regulations..
DONIA also means greater safety on board, whether sailing or motoring. The application proposes to live the traditional maritime solidarity by sharing your anchorage spots, information on biodiversity, dangers seen at sea (obstacles, accidents, jellyfish, etc.).
Finally, DONIA users can receive free information from managers of protected sites (parks, reserves). Practical to avoid tedious procedures and find local regulations easily.
The Premium version of the application (€ 24.99 per year, € 2.99 per month) gives access to high-definition bathymetric maps allowing you to find new points of interest and marine maps from SHOM (Hydrographic and Oceanographic Service of la Marine) in the French Mediterranean.
Please note that continuous use of GPS in the background may reduce battery life.
Conditions of use: https://donia.fr/cgu/cgv_en.html
The Community application for navigation and anchoring assistance outside fragile ecosystems DONIA is available and used in the Mediterranean.
DONIA - Enjoy & protect the sea, together!
Free access to cartography of the seabed and up-to-date regulated areas for a safe anchorage. Anchoring in Posidonia meadows is forbidden and punishable by law.
DONIA is a community marine cartography application for smartphones and tablets. It is intended for boaters, yachtsmen, divers, fishermen and all sea lovers who wish to benefit from accurate maps, enriched with data on marine life and real-time information on surface activities.
DONIA is first and foremost a community of enthusiasts who exchange information to make their sea trips easier, richer in discoveries and who want to help protect the environment.
DONIA works and raises awareness of environmental preservation by providing extremely accurate maps of the nature of the seabed, enabling Mediterranean yachtsmen to anchor outside sensitive ecosystems such as Posidonia meadows and coralligenous reefs. The application provides access to various navigation data and functionalities such as regulatory and navigation tools (port information, anchorages, dive sites, heading and arrow for prediction of time, speed, waypoints and measurement tools, navigation) and safety at sea (skid, entanglement and collision alarm pack); AIS (Automatic Identification System) data from the AISHUb network; weather forecasts every 3 hours up to + 72 hours; sheltered anchorage areas depending on the weather, community tools, local regulations..
DONIA also means greater safety on board, whether sailing or motoring. The application proposes to live the traditional maritime solidarity by sharing your anchorage spots, information on biodiversity, dangers seen at sea (obstacles, accidents, jellyfish, etc.).
Finally, DONIA users can receive free information from managers of protected sites (parks, reserves). Practical to avoid tedious procedures and find local regulations easily.
The Premium version of the application (€ 24.99 per year, € 2.99 per month) gives access to high-definition bathymetric maps allowing you to find new points of interest and marine maps from SHOM (Hydrographic and Oceanographic Service of la Marine) in the French Mediterranean.
Please note that continuous use of GPS in the background may reduce battery life.
Conditions of use: https://donia.fr/cgu/cgv_en.html
The Community application for navigation and anchoring assistance outside fragile ecosystems DONIA is available and used in the Mediterranean.
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: France
Sea Region: Mediterranean Sea
Themes: DS04 Marine geology, DS07 Administration and dimensions, DS12 Human activities
Keywords: marine cartography, mobile phone application, posidonia oceanica, regulated areas, safe anchorage, sea grass, seabed mapping, sensitive ecosystems
Last updated: 11/12/2021
Module for FreeCAD intended to use with DualSPHysics fluid simulator.
DesignSPHysics is a software module built into FreeCAD that provides a Graphical User Interface for DualSPHysics. It is under development since September 2016 and in Beta stage.
Check the Official Webpage for downloads and more information.
Module for FreeCAD intended to use with DualSPHysics fluid simulator.
DesignSPHysics is a software module built into FreeCAD that provides a Graphical User Interface for DualSPHysics. It is under development since September 2016 and in Beta stage.
Check the Official Webpage for downloads and more information.
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Contributing data to
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Types: Software (ocean related)
Languages: English
Countries: Spain
Host Countries: Spain
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: fluids, freecad, python, simulator
Last updated: 02/05/2021
Kriging is a technique that provides the Best Linear Unbiased Estimator of the unknown fields (Journel and Huijbregts, 1978; Kitanidis, 1997). It is a local estimator that can provide the interpolation and extrapolation of the originally sparsely sampled data that are assumed to be reasonably characterized by the Intrinsic Statistical Model (ISM). An ISM does not require the quantity of interest to be stationary, i.e. its mean and standard deviation are independent of position, but rather that its covariance function depends on the separation of two data points only.
The kriging software described in this document was developed by Dezhang Chu with funding from the National Science Foundation through the U.S. GLOBEC Georges Bank Project's Program Service and Data Management Office. It was originally inspired by a MATLAB toolbox developed by Yves Gratton and Caroline Lafleur (INRS-Oceanologie, Rimouski, Qc, Canada), and Jeff Runge (Institut Maurice-Lamontagne, now with University of New Hampshire). This software may be reproduced for noncommercial purposes only.
EasyKrig GLOBEC Kriging Software Package (ODIS id 1781)
Kriging is a technique that provides the Best Linear Unbiased Estimator of the unknown fields (Journel and Huijbregts, 1978; Kitanidis, 1997). It is a local estimator that can provide the interpolation and extrapolation of the originally sparsely sampled data that are assumed to be reasonably characterized by the Intrinsic Statistical Model (ISM). An ISM does not require the quantity of interest to be stationary, i.e. its mean and standard deviation are independent of position, but rather that its covariance function depends on the separation of two data points only.
The kriging software described in this document was developed by Dezhang Chu with funding from the National Science Foundation through the U.S. GLOBEC Georges Bank Project's Program Service and Data Management Office. It was originally inspired by a MATLAB toolbox developed by Yves Gratton and Caroline Lafleur (INRS-Oceanologie, Rimouski, Qc, Canada), and Jeff Runge (Institut Maurice-Lamontagne, now with University of New Hampshire). This software may be reproduced for noncommercial purposes only.
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Types
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Contributing data to
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: global analysis
Last updated: 02/05/2021
Simple oceanographic data viewing based on aodn/imostoolbox.
The aim of easyplot is to deliver a simple to use program to plot and easily compare instrument data for diagnostic purposes. It is utilizes instrument parsers from imos-toolbox (https://github.com/aodn/imos-toolbox)
Simple oceanographic data viewing based on aodn/imostoolbox.
The aim of easyplot is to deliver a simple to use program to plot and easily compare instrument data for diagnostic purposes. It is utilizes instrument parsers from imos-toolbox (https://github.com/aodn/imos-toolbox)
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Types: Software (ocean related)
Languages: English
Countries: Australia
Host Countries: Australia
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: data visualization, matlab, oceanographic data, oceanography, time-series
Last updated: 18/12/2021
Ecopath with Ecosim (ODIS id: 1097)
https://ecopath.org/downloads
Ecopath with Ecosim or EwE is an open-source and freely available food web modelling approach with o ...
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Ecopath with Ecosim
Ecopath with Ecosim or EwE is an open-source and freely available food web modelling approach with over 1000 peer-reviewed publications and an estimated 9000 users world-wide.
Christensen, V., and Walters, C.J. (2004). Ecopath with Ecosim: methods, capabilities and limitations. Ecological Modelling 172, 109–139.
Heymans, J.J., Coll, M., Link, J.S., Mackinson, S., Steenbeek, J., and Christensen, V. (2016). Best practice in Ecopath with Ecosim food-web models for ecosystem-based management. Ecological Modelling 331, 173–184.
Abstract
Ecopath with Ecosim or EwE is an open-source and freely available food web modelling approach with over 1000 peer-reviewed publications and an estimated 9000 users world-wide.
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Steenbeek, J., Buszowski, J., Christensen, V., Akoglu, E., Aydin, K., Ellis, N., Felinto, D., Guitton, J., Lucey, S., Kearney, K., et al. (2016). Ecopath with Ecosim as a model-building toolbox: Source code capabilities, extensions, and variations. Ecological Modelling 319, 178–189.
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Case-study dependent
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS10 Environment, DS11 Fisheries and aquaculture, DS12 Human activities
Keywords: ecosystem understanding, environmental impact assessment, fisheries, food-web dynamics, marine ecology
Last updated: 14/03/2023
Ecosystem Approach to Fisheries Application - FAO (ODIS id: 1053)
The EAFnet has been developed to facilitate access to the information and resources that are available at FAO on the application of the Ecosystem Approach to Fisheries (EAF).
This includes background information about EAF, the EAF toolbox to assist with EAF management planning and implementation, plus links to all the various EAF projects being undertaken by FAO.
The Ecosystem Approach to Fisheries (EAF) has been adopted by the FAO Committee on Fisheries (COFI) as the appropriate and practical way to fully implement the Code of Conduct for Responsible Fisheries.
EAF is a risk based management planning process that covers the principles of Sustainable Development including the human and social elements of sustainability, not just the ecological and environmental components.
Ecosystem Approach to Fisheries Application - FAO (ODIS id 1053)
The EAFnet has been developed to facilitate access to the information and resources that are available at FAO on the application of the Ecosystem Approach to Fisheries (EAF).
This includes background information about EAF, the EAF toolbox to assist with EAF management planning and implementation, plus links to all the various EAF projects being undertaken by FAO.
The Ecosystem Approach to Fisheries (EAF) has been adopted by the FAO Committee on Fisheries (COFI) as the appropriate and practical way to fully implement the Code of Conduct for Responsible Fisheries.
EAF is a risk based management planning process that covers the principles of Sustainable Development including the human and social elements of sustainability, not just the ecological and environmental components.
Types: Information on projects, Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: EAF management planning, Ecosystem Approach, Ecosystem Approach to Fisheries, Responsible Fisheries, fisheries, information and resources, sustainable development
Last updated: 09/10/2021
Environmental Data Connector - NOAA CoastWatch West Coast Regional Node (ODIS id: 2851)
Environmental Data Connector - NOAA CoastWatch West Coast Regional Node
The Environmental Data Connector (EDC) is a Java-based Graphical User Interface that allows for easy access to distributed data from directly within ArcGIS, Matlab, R and, for Windows only, Excel. The EDC can access data served by OPeNDAP, THREDDS, ERDDAP, IOOS SOS and also local files. Users can search for and graphically select custom temporal and spatial data subsets, and then automatically download the subsets into the software application. The EDC can also extract data from within a user drawn polygon and along ship or animal tracks.
The EDC was created by Applied Science Associates, Inc. in cooperation with the SWFSC's Environmental Research Division, using funds from the NOAA Satellite Research & Operations Project, the NOAA Integrated Ecosystem Assessment Program, the NOAA IOOS Program Office, and the NOAA JPSS PGRR Program.
Environmental Data Connector - NOAA CoastWatch West Coast Regional Node (ODIS id 2851)
Environmental Data Connector - NOAA CoastWatch West Coast Regional Node
Original (non-English) name
Acronym
EDC - WCRN
Citation
Abstract
The Environmental Data Connector (EDC) is a Java-based Graphical User Interface that allows for easy access to distributed data from directly within ArcGIS, Matlab, R and, for Windows only, Excel. The EDC can access data served by OPeNDAP, THREDDS, ERDDAP, IOOS SOS and also local files. Users can search for and graphically select custom temporal and spatial data subsets, and then automatically download the subsets into the software application. The EDC can also extract data from within a user drawn polygon and along ship or animal tracks.
The EDC was created by Applied Science Associates, Inc. in cooperation with the SWFSC's Environmental Research Division, using funds from the NOAA Satellite Research & Operations Project, the NOAA Integrated Ecosystem Assessment Program, the NOAA IOOS Program Office, and the NOAA JPSS PGRR Program.
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: Pacific Ocean
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS10 Environment
Keywords: data access, data and tools, environmental data
Last updated: 06/11/2021
Environmental Modeling Center Code Repository - NOAA (ODIS id: 1791)
https://github.com/NOAA-EMC
We develop numerical forecast systems and enhance numerical forecasts through numerical computationa ...
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Environmental Modeling Center Code Repository - NOAA
We develop numerical forecast systems and enhance numerical forecasts through numerical computational technology and data assimilation techniques.
Environmental Modeling Center Code Repository - NOAA (ODIS id 1791)
Environmental Modeling Center Code Repository - NOAA
Original (non-English) name
Acronym
EMC Code Repository - NOAA
Citation
Abstract
We develop numerical forecast systems and enhance numerical forecasts through numerical computational technology and data assimilation techniques.
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, computer science, data analysis, data assimilation, fortran, interpolation, python
Last updated: 06/05/2021
R to analyse ecological and environmental data.
The base version of R ships with a wide range of functions for use within the field of environmetrics. This functionality is complemented by a plethora of packages available via CRAN, which provide specialist methods such as ordination & cluster analysis techniques. A brief overview of the available packages is provided in this Task View, grouped by topic or type of analysis. As a testament to the popularity of R for the analysis of environmental and ecological data, a special volume of the Journal of Statistical Software was produced in 2007.
Those useRs interested in environmetrics should consult the Spatial view. Complementary information is also available in the Multivariate, Phylogenetics, Cluster, and SpatioTemporal task views.
If you have any comments or suggestions for additions or improvements, then please contact the maintainer .
A list of available packages and functions is presented below, grouped by analysis type.
R to analyse ecological and environmental data.
The base version of R ships with a wide range of functions for use within the field of environmetrics. This functionality is complemented by a plethora of packages available via CRAN, which provide specialist methods such as ordination & cluster analysis techniques. A brief overview of the available packages is provided in this Task View, grouped by topic or type of analysis. As a testament to the popularity of R for the analysis of environmental and ecological data, a special volume of the Journal of Statistical Software was produced in 2007.
Those useRs interested in environmetrics should consult the Spatial view. Complementary information is also available in the Multivariate, Phylogenetics, Cluster, and SpatioTemporal task views.
If you have any comments or suggestions for additions or improvements, then please contact the maintainer .
A list of available packages and functions is presented below, grouped by analysis type.
Technical contact email
please check the record details page
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Countries owning the source
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Data policy
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Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: ecological analysis, ecological applications, multivariate analysis, r-package
Last updated: 15/05/2021
eOceans was founded with the belief that future oceans can teem with life if we make faster and more collaborative discoveries. This app helps make this possible.
The eOceans app is for citizen scientists, scientists, and teams exploring and studying the world’s oceans.
This app captures ‘logs’ about the oceans in real-time. A ‘log’ takes about 30 seconds and captures enormous amounts of valuable data about the oceans, which is already helping ocean science and decision making.
Value:
- Record your observations once, keep for later instantly share to scientists you trust
- Digitize & quality control in real-time, for faster and more accurate data
- Local to global scales
- All 220,000 named ocean species
- All human items
As featured in peer-reviewed scientific publications, various science programs, major news outlets, and used by explorers around the world. Results have already informed international policies to protect endangered species and special places, and the people that depend on them.
Useful for:
Protected areas; Endangered species; Invasive species; Climate change; Pollution; Ghost gear; Oil spills; Algal blooms; Social and economic trends; Shipping or fishing interactions; Management disputes; Disease; Interactions; and much more.
It works like this:
Explore the oceans with the eOceans app loaded on your phone. Periodically (5 or more times), do a ‘log’ of what you see. A Log includes:
i) Photo of the area or item.
ii) Activity you are doing – because fishers, divers, surfers, sailors , etc. see very different things.
iii) List of species, with number. It can be zero, or a long list.
iv) Any human stuff – boats, surfers, plastics, etc.
v) Review & Submit.
The app is designed for collecting high-resolution spatial and temporal data about the world’s oceans. Helping to identify and celebrate successes, or to mitigate and adapt to change.
PROFESSIONAL is designed for people, like scientists, that need digitized and quality-control their data in real-time in a spreadsheet format that they can immediately analyze or share with colleagues.
STARTER is designed for people, like citizen scientists, that want to share their observations to science.
ENTERPRISE is for teams, like research labs, industry, government, non-governmental organizations, that have several to thousands of people working on a specific topic or area that want to collaborate in real-time.
Our goal is to gather 1billion new ocean observations per day so that researchers and communities can celebrate successes or mitigate and adapt to change in real-time.
For the oceans. For us.
eOceans was founded with the belief that future oceans can teem with life if we make faster and more collaborative discoveries. This app helps make this possible.
The eOceans app is for citizen scientists, scientists, and teams exploring and studying the world’s oceans.
This app captures ‘logs’ about the oceans in real-time. A ‘log’ takes about 30 seconds and captures enormous amounts of valuable data about the oceans, which is already helping ocean science and decision making.
Value:
- Record your observations once, keep for later instantly share to scientists you trust
- Digitize & quality control in real-time, for faster and more accurate data
- Local to global scales
- All 220,000 named ocean species
- All human items
As featured in peer-reviewed scientific publications, various science programs, major news outlets, and used by explorers around the world. Results have already informed international policies to protect endangered species and special places, and the people that depend on them.
Useful for:
Protected areas; Endangered species; Invasive species; Climate change; Pollution; Ghost gear; Oil spills; Algal blooms; Social and economic trends; Shipping or fishing interactions; Management disputes; Disease; Interactions; and much more.
It works like this:
Explore the oceans with the eOceans app loaded on your phone. Periodically (5 or more times), do a ‘log’ of what you see. A Log includes:
i) Photo of the area or item.
ii) Activity you are doing – because fishers, divers, surfers, sailors , etc. see very different things.
iii) List of species, with number. It can be zero, or a long list.
iv) Any human stuff – boats, surfers, plastics, etc.
v) Review & Submit.
The app is designed for collecting high-resolution spatial and temporal data about the world’s oceans. Helping to identify and celebrate successes, or to mitigate and adapt to change.
PROFESSIONAL is designed for people, like scientists, that need digitized and quality-control their data in real-time in a spreadsheet format that they can immediately analyze or share with colleagues.
STARTER is designed for people, like citizen scientists, that want to share their observations to science.
ENTERPRISE is for teams, like research labs, industry, government, non-governmental organizations, that have several to thousands of people working on a specific topic or area that want to collaborate in real-time.
Our goal is to gather 1billion new ocean observations per day so that researchers and communities can celebrate successes or mitigate and adapt to change in real-time.
For the oceans. For us.
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: Algal bloom, Climate change, marine protected areas, mobile phone application, oceans, shipping
Last updated: 13/12/2021
European Centre for Medium-Range Weather Forecasts software repository (ODIS id: 1792)
European Centre for Medium-Range Weather Forecasts software repository
The following software packages are available from ECMWF's collaborative website. Member and Co-operating States' national meteorological services should first check with Software Services for availability of additional software.
European Centre for Medium-Range Weather Forecasts software repository (ODIS id 1792)
European Centre for Medium-Range Weather Forecasts software repository
Original (non-English) name
Acronym
ECMWF software repository
Citation
Abstract
The following software packages are available from ECMWF's collaborative website. Member and Co-operating States' national meteorological services should first check with Software Services for availability of additional software.
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Countries owning the source
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Data policy
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Keywords
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DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: REGIONAL
Host Countries: REGIONAL
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, forecasting system, numerical models
Last updated: 06/05/2021
Fast smoothing spline routine in Fortran 90 usable in python
A Matlab script (Weinert, 2009) was converted to Fortran 90 for improved computational speed. The arguments are identical in both the Fotran 90 and Matlab routines.
Fast smoothing spline routine in Fortran 90 usable in python
A Matlab script (Weinert, 2009) was converted to Fortran 90 for improved computational speed. The arguments are identical in both the Fotran 90 and Matlab routines.
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Types
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Contributing data to
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Types: Software (ocean related)
Languages: English
Countries: France
Host Countries: France
Sea Region: World
Themes: DS02 Chemical oceanography
Keywords: fortran, matlab, spline
Last updated: 09/05/2021
Functional Data Analysis of oceanographic profiles.
Functional Data Analysis is a set of tools to study curves or functions. Here we see vertical hydrographic profiles of several variables (temperature, salinity, oxygen,...) as curves and apply a functional principal component analysis (FPCA) in the multivaraite case to reduce the dimensionality of the system. The classical case is done with couples of temperature and salinity. It can be used for front detection, water mass identification, unsupervised or supervised classification, model comparison, data calibration, etc.
Etienne Pauthenet, David Nerini, & Fabien Roquet. (2020, October 8). Functional Data Analysis of hydrographic profiles (Version v1.0.0). Zenodo. http://doi.org/10.5281/zenodo.4073123
Abstract
Functional Data Analysis of oceanographic profiles.
Functional Data Analysis is a set of tools to study curves or functions. Here we see vertical hydrographic profiles of several variables (temperature, salinity, oxygen,...) as curves and apply a functional principal component analysis (FPCA) in the multivaraite case to reduce the dimensionality of the system. The classical case is done with couples of temperature and salinity. It can be used for front detection, water mass identification, unsupervised or supervised classification, model comparison, data calibration, etc.
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Interface Languages
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: France
Host Countries: France
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: data analysis, matlab, oceanographic research, oceanography, r-package
Last updated: 01/05/2021
The NOAA Fisheries Integrated Toolbox (NOAA FIT) is an interdisciplinary, web-based portal of operational tools that can be used for a variety of applications, including stock assessment modeling, forecasting, and data preparation for fish and protected species, as well as economic and ecosystem modeling. This web portal facilitates easier sharing and comparison of analytical tools (including ensemble modeling, model averaging, model coupling, and shared visualization). The NOAA FIT hosts a variety of operational tools developed by NOAA scientists and programmers, as well as those developed in collaboration with, and exclusively by external developers. The NOAA FIT is maintained by the National Modeling Team in NOAA Fisheries Office of Science and Technology. The National Modeling Team supports scientists, developers, and users to facilitate accessibility and efficient usage of software and tools. The NOAA FIT also provides resources for developers and users of the tools to ensure best practices and ease of use.
Fisheries Integrated Toolbox - NOAA (ODIS id 1859)
The NOAA Fisheries Integrated Toolbox (NOAA FIT) is an interdisciplinary, web-based portal of operational tools that can be used for a variety of applications, including stock assessment modeling, forecasting, and data preparation for fish and protected species, as well as economic and ecosystem modeling. This web portal facilitates easier sharing and comparison of analytical tools (including ensemble modeling, model averaging, model coupling, and shared visualization). The NOAA FIT hosts a variety of operational tools developed by NOAA scientists and programmers, as well as those developed in collaboration with, and exclusively by external developers. The NOAA FIT is maintained by the National Modeling Team in NOAA Fisheries Office of Science and Technology. The National Modeling Team supports scientists, developers, and users to facilitate accessibility and efficient usage of software and tools. The NOAA FIT also provides resources for developers and users of the tools to ensure best practices and ease of use.
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Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography, DS11 Fisheries and aquaculture
Keywords: data preparation, operationl tools, protected species, tool description, toolbox
Last updated: 09/05/2021
The FAO Fisheries Division (NFI) provides advice and objective information to Members to help promote responsible aquaculture and fisheries. To fulfil this role, the Division compiles, analyses and disseminates fishery and aquaculture data, structured within data collections.
To ensure quality assurance, each collection is documented to highlight definitions and to specify the structure, sources, coverage, processes, intended use, etc. This is further complemented with the CWP Handbook of Fisheries Statistics, which includes comprehensive definitions of concepts and details of standard classifications.
Global time series have been maintained over more than 60 years. To meet diverse user needs, data from each statistical collection are available through various formats, tools and information products.
Fishery Statistics Programme - FAO Fisheries Division (ODIS id 1049)
The FAO Fisheries Division (NFI) provides advice and objective information to Members to help promote responsible aquaculture and fisheries. To fulfil this role, the Division compiles, analyses and disseminates fishery and aquaculture data, structured within data collections.
To ensure quality assurance, each collection is documented to highlight definitions and to specify the structure, sources, coverage, processes, intended use, etc. This is further complemented with the CWP Handbook of Fisheries Statistics, which includes comprehensive definitions of concepts and details of standard classifications.
Global time series have been maintained over more than 60 years. To meet diverse user needs, data from each statistical collection are available through various formats, tools and information products.
FIGIS.
How to access the data:
1) FishStatJ - Software for fishery statistical time series offers experts and scientists a stand-alone application for complex and sophisticated data exploration and extraction.
2) Online Query Panels enable advanced users to extract customized information and reports.
3) FAO Yearbook of Fishery and Aquaculture Statistics provide a full range of tables with detailed statistics.
Interface Languages
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Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Information on projects, Maps and atlases (geospatial products), Software (ocean related)
Languages: Arabic, English, Spanish, French, Russian, Chinese
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: Responsible Fisheries, Responsible aquaculture, aquaculture, aquaculture statistics, fisheries, fisheries statistics, time-series
Last updated: 09/10/2021
Adding stock-recruit parameter estimates based on stock-recruit records from the RAM Legacy stock-recruit database. The addition of stock-recruit parameters completes the full life-cycle for fishes, and then allows population-dynamics parameters (generation time, intrinsic growth rate) to be calculated.
Adding stock-recruit parameter estimates based on stock-recruit records from the RAM Legacy stock-recruit database. The addition of stock-recruit parameters completes the full life-cycle for fishes, and then allows population-dynamics parameters (generation time, intrinsic growth rate) to be calculated.
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: Fish, data analysis, ecological applications, ecology, population dynamics, prediction
Last updated: 22/04/2021
FLEXible PARTicle Dispersion model (ODIS id: 1793)
https://www.flexpart.eu/
FLEXPART (“FLEXible PARTicle dispersion model”) is a Lagrangian transport and dispersion model s ...
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FLEXible PARTicle Dispersion model
FLEXPART (“FLEXible PARTicle dispersion model”) is a Lagrangian transport and dispersion model suitable for the simulation of a large range of atmospheric transport processes. Apart from transport and turbulent diffusion, it is able to simulate dry and wet deposition, decay, linear chemistry; it can be used in forward or backward mode, with defined sources or in a domain-filling setting. It can be used from local to global scale.
FLEXPART is a further development of its predecessor FLEXTRA (“FLEXible TRAjectory model”). Both FLEXTRA and FLEXPART have been open source models since the beginning and, over time have found a large international user community.
FLEXPART (“FLEXible PARTicle dispersion model”) is a Lagrangian transport and dispersion model suitable for the simulation of a large range of atmospheric transport processes. Apart from transport and turbulent diffusion, it is able to simulate dry and wet deposition, decay, linear chemistry; it can be used in forward or backward mode, with defined sources or in a domain-filling setting. It can be used from local to global scale.
FLEXPART is a further development of its predecessor FLEXTRA (“FLEXible TRAjectory model”). Both FLEXTRA and FLEXPART have been open source models since the beginning and, over time have found a large international user community.
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Types: Software (ocean related)
Languages: English
Countries: Austria
Host Countries: Austria
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, dispersion, lagrangian transport, numerical models
Last updated: 06/05/2021
The FluxEngine is an open-source software toolbox for calculating atmosphere-ocean gas fluxes. The toolbox allows users to easily generate global and regional air-sea carbon dioxide flux data from model, in situ and Earth Observation data, and its air-sea gas flux calculation is user configurable. Whilst devloped for carbon dioxide, much of the toolbox is applicable to other gases ans the open-source nature of the toolbox enables it to be easily extended. Please note that the FluxEngine is a beta version and see the disclaimer at the bottom of this page.
Shutler JD, Land PE, Piolle J-F, Woolf DK, Goddijn-Murphy L, Paul F, Girard-Ardhuin F, Chapron B, Donlon CJ (2016), FluxEngine: a flexible processing system for calculating atmosphere-ocean carbon dioxide gas fluxes and climatologies, Journal of Atmospheric and Oceanic Technology, doi: 10.1175/JTECH-D-14-00204.1
Abstract
The FluxEngine is an open-source software toolbox for calculating atmosphere-ocean gas fluxes. The toolbox allows users to easily generate global and regional air-sea carbon dioxide flux data from model, in situ and Earth Observation data, and its air-sea gas flux calculation is user configurable. Whilst devloped for carbon dioxide, much of the toolbox is applicable to other gases ans the open-source nature of the toolbox enables it to be easily extended. Please note that the FluxEngine is a beta version and see the disclaimer at the bottom of this page.
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Types: Software (ocean related)
Languages: English
Countries: REGIONAL
Host Countries: REGIONAL
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere
Keywords: atmosphere-ocean gas fluxes, data analysis, python
Last updated: 26/04/2021
fmiopendata - Finnish Meteorological Institute (ODIS id: 1881)
FUNWAVE–TVD is the Total Variation Diminishing (TVD) version of the fully nonlinear Boussinesq wave model (FUNWAVE) developed by Shi et al. (2012). The FUNWAVE model was initially developed by Kirby et al. (1998) based on Wei et al. (1995). The development of the present version was motivated by recent needs for modeling of surfzone–scale optical properties in a Boussinesq model framework, and modeling of Tsunami waves in both a global/coastal scale for prediction of coastal inundation and a basin scale for wave propagation.
FUNWAVE–TVD is the Total Variation Diminishing (TVD) version of the fully nonlinear Boussinesq wave model (FUNWAVE) developed by Shi et al. (2012). The FUNWAVE model was initially developed by Kirby et al. (1998) based on Wei et al. (1995). The development of the present version was motivated by recent needs for modeling of surfzone–scale optical properties in a Boussinesq model framework, and modeling of Tsunami waves in both a global/coastal scale for prediction of coastal inundation and a basin scale for wave propagation.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, coastal inundation, fully nonlinear Boussinesq wave model, matlab, numerical models, numerical simulations, python, surfzone, tsunami, wave propagation, waves
Last updated: 04/05/2021
The Unstructured Grid Finite Volume Community Ocean Model (FVCOM) is a prognostic, unstructured-grid, finite-volume, free-surface, 3-D primitive equation coastal ocean circulation model developed by UMASSD-WHOI joint efforts. The model consists of momentum, continuity, temperature, salinity and density equations and is closed physically and mathematically using turbulence closure submodels. The horizontal grid is comprised of unstructured triangular cells and the irregular bottom is preseented using generalized terrain-following coordinates. The General Ocean Turbulent Model (GOTM) developed by Burchard’s research group in Germany (Burchard, 2002) has been added to FVCOM to provide optional vertical turbulent closure schemes. FVCOM is solved numerically by a second-order accurate discrete flux calculation in the integral form of the governing equations over an unstructured triangular grid. This approach combines the best features of finite-element methods (grid flexibility) and finite-difference methods (numerical efficiency and code simplicity) and provides a much better numerical representation of both local and global momentum, mass, salt, heat, and tracer conservation. The ability of FVCOM to accurately solve scalar conservation equations in addition to the topological flexibility provided by unstructured meshes and the simplicity of the coding structure has make FVCOM ideally suited for many coastal and interdisciplinary scientific applications.
FVCOM was originally developed for the estuarine flooding/drying process in estuaries and the tidal-, buoyancy- and wind-driven circulation in the coastal region featured with complex irregular geometry and steep bottom topography. This model has been upgraded to the spherical coordinate system for basin and global applications. A non-hydrostatic version of FVCOM has been coded and is being tested.
The Unstructured Grid Finite Volume Community Ocean Model (FVCOM) is a prognostic, unstructured-grid, finite-volume, free-surface, 3-D primitive equation coastal ocean circulation model developed by UMASSD-WHOI joint efforts. The model consists of momentum, continuity, temperature, salinity and density equations and is closed physically and mathematically using turbulence closure submodels. The horizontal grid is comprised of unstructured triangular cells and the irregular bottom is preseented using generalized terrain-following coordinates. The General Ocean Turbulent Model (GOTM) developed by Burchard’s research group in Germany (Burchard, 2002) has been added to FVCOM to provide optional vertical turbulent closure schemes. FVCOM is solved numerically by a second-order accurate discrete flux calculation in the integral form of the governing equations over an unstructured triangular grid. This approach combines the best features of finite-element methods (grid flexibility) and finite-difference methods (numerical efficiency and code simplicity) and provides a much better numerical representation of both local and global momentum, mass, salt, heat, and tracer conservation. The ability of FVCOM to accurately solve scalar conservation equations in addition to the topological flexibility provided by unstructured meshes and the simplicity of the coding structure has make FVCOM ideally suited for many coastal and interdisciplinary scientific applications.
FVCOM was originally developed for the estuarine flooding/drying process in estuaries and the tidal-, buoyancy- and wind-driven circulation in the coastal region featured with complex irregular geometry and steep bottom topography. This model has been upgraded to the spherical coordinate system for basin and global applications. A non-hydrostatic version of FVCOM has been coded and is being tested.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Coastal zone, Floods, Modelling, Numerical model prediction, coastal ocean circulation, numerical models, numerical simulations, turbulence closure submodels
Last updated: 04/05/2021
Access to the services and VREs operated by both the BlueBRIDGE consortium and the iMarine initiative to serve cases ranging from stock assessment to aquaculture atlas generation, strategic investment and scientific training. Datasets include species distribution maps, environmental data, and area regulation zones.
All the products are accompanied with rich descriptions capturing general attributes, e.g. title and creator(s), as well as usage policies and licences.
Access to the services and VREs operated by both the BlueBRIDGE consortium and the iMarine initiative to serve cases ranging from stock assessment to aquaculture atlas generation, strategic investment and scientific training. Datasets include species distribution maps, environmental data, and area regulation zones.
All the products are accompanied with rich descriptions capturing general attributes, e.g. title and creator(s), as well as usage policies and licences.
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iMarine.D4Science
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Types: Data catalogue, Education and training materials (related to oceans), Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: Virtual Research Environment, data analysis, data and information, scientific training
Last updated: 04/07/2021
General Ocean Turbulent Model (ODIS id: 2434)
https://gotm.net/about/
Welcome to the General Ocean Turbulence Model (GOTM), which is a one-dimensional water column model ...
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General Ocean Turbulent Model
Welcome to the General Ocean Turbulence Model (GOTM), which is a one-dimensional water column model for studying hydrodynamic and biogeochemical processes in marine and limnic waters. GOTM is published under the GNU Public Licence and can be freely used.
The heart of GOTM is a library of traditional and state-of-the-art turbulence closure models for the parameterisation of vertical turbulent fluxes of momentum, heat and dissolved and particulate matter (Umlauf and Burchard, 2005). This turbulence module has been linked to, or recoded for, a number of ocean models such as ROMS, FVCOM, SELFE, FESOM, GETM and NEMO in order to parameterize turbulent exchange.
Typically, GOTM is used as a stand-alone model for studying dynamics of boundary layers in natural waters, where lateral gradients can either be neglected or prescribed. Frequent hydrodynamic applications are investigations of air-sea fluxes, surface mixed-layer dynamics, stratification processes in shelf seas, dynamics of bottom boundary layers with or without sediment transport, estuarine and coastal dynamics, and many more. To link biogeochemical or sediment modules to GOTM, the Framework for Aquatic Biogeochemical Models (FABM) (Bruggeman and Bolding, 2014) is used, which is also available for several 3D models.
The GOTM developers encourage all users to subscribe to the GOTM Users email list to interact with all other users, to report about planned applications, to announce new results, and to discuss possible extensions. Users wanting to participate in development can apply for access to the developers mailing list here.
Welcome to the General Ocean Turbulence Model (GOTM), which is a one-dimensional water column model for studying hydrodynamic and biogeochemical processes in marine and limnic waters. GOTM is published under the GNU Public Licence and can be freely used.
The heart of GOTM is a library of traditional and state-of-the-art turbulence closure models for the parameterisation of vertical turbulent fluxes of momentum, heat and dissolved and particulate matter (Umlauf and Burchard, 2005). This turbulence module has been linked to, or recoded for, a number of ocean models such as ROMS, FVCOM, SELFE, FESOM, GETM and NEMO in order to parameterize turbulent exchange.
Typically, GOTM is used as a stand-alone model for studying dynamics of boundary layers in natural waters, where lateral gradients can either be neglected or prescribed. Frequent hydrodynamic applications are investigations of air-sea fluxes, surface mixed-layer dynamics, stratification processes in shelf seas, dynamics of bottom boundary layers with or without sediment transport, estuarine and coastal dynamics, and many more. To link biogeochemical or sediment modules to GOTM, the Framework for Aquatic Biogeochemical Models (FABM) (Bruggeman and Bolding, 2014) is used, which is also available for several 3D models.
The GOTM developers encourage all users to subscribe to the GOTM Users email list to interact with all other users, to report about planned applications, to announce new results, and to discuss possible extensions. Users wanting to participate in development can apply for access to the developers mailing list here.
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United Kingdom
Sea Region: no searegion defined
Themes: DS03 Physical oceanography
Keywords: Hydrodynamic modelling, biogeochemistry, data analysis
Last updated: 20/09/2021
The application contains a description of Geophysics.
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Types: Software (ocean related)
Languages: English
Countries: Russia
Host Countries: Russia
Sea Region: World
Themes: DS04 Marine geology
Keywords: geophysics
Last updated: 12/12/2021
Geo Point Plotter tool - Iranian National Center for Ocean Data (ODIS id: 1090)
A python script to generate a geotiff image from bathymetry data. This geotiff can be uploaded to piloting software tools to give an idea of the depth of water.
A python script to generate a geotiff image from bathymetry data. This geotiff can be uploaded to piloting software tools to give an idea of the depth of water.
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Types: Software (ocean related)
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: gdal, geo-referenced data, geotiff
Last updated: 01/05/2021
ggOceanMapsData package - Institute of Marine Research Norway (ODIS id: 1877)
ggOceanMapsData package - Institute of Marine Research Norway
This is a spatial data repository package for the ggOceanMaps R package. The package provides low-resolution shapefiles required by ggOceanMaps. These shapefiles are placed in a separate package due to CRAN Repository Policy. Please see the ggOceanMaps documentation for further information.
ggOceanMapsData package - Institute of Marine Research Norway (ODIS id 1877)
ggOceanMapsData package - Institute of Marine Research Norway
Original (non-English) name
Acronym
ggOceanMapsData - IMR
Citation
Abstract
This is a spatial data repository package for the ggOceanMaps R package. The package provides low-resolution shapefiles required by ggOceanMaps. These shapefiles are placed in a separate package due to CRAN Repository Policy. Please see the ggOceanMaps documentation for further information.
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Types: Software (ocean related)
Languages: English
Countries: Norway
Host Countries: Norway
Sea Region: World
Themes: DS04 Marine geology
Keywords: bathymetry, r-package
Last updated: 22/04/2021
ggOceanMaps package - Institute of Marine Research Norway (ODIS id: 1876)
ggOceanMaps package - Institute of Marine Research Norway
The ggOceanMaps package for R allows plotting data on bathymetric maps using ggplot2. The package is designed for ocean sciences and greatly simplifies bathymetric map plotting anywhere around the globe. ggOceanMaps uses openly available geographic data. Citing the particular data sources is advised by the CC-BY licenses whenever maps from the package are published (see the Citations and data sources section).
The ggOceanMaps package has been developed by the Institute of Marine Research. Note that the package comes with absolutely no warranty and that maps generated by the package are meant for plotting scientific data only. The maps are coarse generalizations of third party data and therefore inaccurate. Any bug reports and code fixes are warmly welcomed. See Contributions for further details.
ggOceanMaps package - Institute of Marine Research Norway (ODIS id 1876)
ggOceanMaps package - Institute of Marine Research Norway
Original (non-English) name
Acronym
ggOceanMaps - IMR
Citation
Abstract
The ggOceanMaps package for R allows plotting data on bathymetric maps using ggplot2. The package is designed for ocean sciences and greatly simplifies bathymetric map plotting anywhere around the globe. ggOceanMaps uses openly available geographic data. Citing the particular data sources is advised by the CC-BY licenses whenever maps from the package are published (see the Citations and data sources section).
The ggOceanMaps package has been developed by the Institute of Marine Research. Note that the package comes with absolutely no warranty and that maps generated by the package are meant for plotting scientific data only. The maps are coarse generalizations of third party data and therefore inaccurate. Any bug reports and code fixes are warmly welcomed. See Contributions for further details.
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Types: Software (ocean related)
Languages: English
Countries: Norway
Host Countries: Norway
Sea Region: World
Themes: DS04 Marine geology
Keywords: bathymetry, data analysis, mapping, r-package
Last updated: 22/04/2021
glatos is an R package with functions useful to members of the Great Lakes Acoustic Telemetry Observation System (http://glatos.glos.us). Functions may be generally useful for processing, analyzing, simulating, and visualizing acoustic telemetry data, but are not strictly limited to acoustic telemetry applications.
glatos is an R package with functions useful to members of the Great Lakes Acoustic Telemetry Observation System (http://glatos.glos.us). Functions may be generally useful for processing, analyzing, simulating, and visualizing acoustic telemetry data, but are not strictly limited to acoustic telemetry applications.
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: North America Mainland
Themes: DS10 Environment, DS11 Fisheries and aquaculture
Keywords: Fish, acoustic data, data analysis, data processing, data visualization, telemetry
Last updated: 25/04/2022
Global Oceanographic Bathymetry Explorer Software (ODIS id: 1846)
GLOBE (GLobal Oceanographic Bathymetry Explorer) is an innovative application for processing and displaying oceanographic data. GLOBE offers processing and display solutions of multi-sensor data within a single 3D environment represented as a globe.
Currently the software is mainly used for processing, analysing and displaying acoustic data, as well as moving tectonic plates.
Developed in Java, GLOBE is a multiplatform application (Windows, Linux, Mac for PLACA) whose architecture allows users to develop and add with ease new modules for processing and visualizing data.
More detailled description and installation procedure can be found on Ifremer's fleet site https://www.flotteoceanographique.fr
Globe source code is available on Ifremer's gitlab repository https://gitlab.ifremer.fr/fleet/globe
Global Oceanographic Bathymetry Explorer Software (ODIS id 1846)
GLOBE (GLobal Oceanographic Bathymetry Explorer) is an innovative application for processing and displaying oceanographic data. GLOBE offers processing and display solutions of multi-sensor data within a single 3D environment represented as a globe.
Currently the software is mainly used for processing, analysing and displaying acoustic data, as well as moving tectonic plates.
Developed in Java, GLOBE is a multiplatform application (Windows, Linux, Mac for PLACA) whose architecture allows users to develop and add with ease new modules for processing and visualizing data.
More detailled description and installation procedure can be found on Ifremer's fleet site https://www.flotteoceanographique.fr
Globe source code is available on Ifremer's gitlab repository https://gitlab.ifremer.fr/fleet/globe
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Types: Software (ocean related)
Languages: English
Countries: France
Host Countries: France
Sea Region: World
Themes: DS04 Marine geology
Keywords: Java, data processing, data visualization, multi-sensor data, tectonic plates
Last updated: 01/09/2021
Great Lakes CoastWatch Java GIS - NOAA CoastWatch Great Lakes Node (ODIS id: 2879)
Great Lakes CoastWatch Java GIS - NOAA CoastWatch Great Lakes Node
Java applet allows the examination of oceanographic satellite imagery with ancillary data sets (overlays). The applet will start two new windows (Panner window and Image window) for viewing the near real-time images and a Control Panel window for toggling on and off the marine observation data and shapefile overlays.
Great Lakes CoastWatch Java GIS - NOAA CoastWatch Great Lakes Node (ODIS id 2879)
Great Lakes CoastWatch Java GIS - NOAA CoastWatch Great Lakes Node
Original (non-English) name
Acronym
Citation
Abstract
Java applet allows the examination of oceanographic satellite imagery with ancillary data sets (overlays). The applet will start two new windows (Panner window and Image window) for viewing the near real-time images and a Control Panel window for toggling on and off the marine observation data and shapefile overlays.
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: no searegion defined
Themes: DS03 Physical oceanography
Keywords: data visualization, near real time data, oceanographic data, satellite imagery
Last updated: 14/02/2022
Gibbs-SeaWater (GSW) Oceanographic Toolbox help pages in html, and associated pdf files.
Gibbs-SeaWater (GSW) Oceanographic Toolbox in Matlab - Help pages and pdf files only !!!!
This is a work in progress repository. It is intended to be a method of assisting those who are translating the code into their prefered language.
Do not download this code and treat it as an distributed release of the GSW code - it is not under any circumstance.
The ONLY location to download software is from the TEOS-10 website http://www.TEOS-10.org/.
Gibbs-SeaWater (GSW) Oceanographic Toolbox help pages in html, and associated pdf files.
Gibbs-SeaWater (GSW) Oceanographic Toolbox in Matlab - Help pages and pdf files only !!!!
This is a work in progress repository. It is intended to be a method of assisting those who are translating the code into their prefered language.
Do not download this code and treat it as an distributed release of the GSW code - it is not under any circumstance.
The ONLY location to download software is from the TEOS-10 website http://www.TEOS-10.org/.
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Types: Education and training materials (related to oceans), Manuals, guidelines, standards and best practices, Software (ocean related)
Languages: English
Countries: Australia
Host Countries: Australia
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Gibbs-SeaWater, oceanography, sea water
Last updated: 02/05/2021
This is a subset of functions contained in the Gibbs SeaWater (GSW)
Oceanographic Toolbox of TEOS-10.
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Types: Software (ocean related)
Languages: English
Countries: Australia
Host Countries: Australia
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Gibbs-SeaWater, fortran, sea water
Last updated: 01/05/2021
Gibbs-SeaWater (GSW) Oceanographic Toolbox in Matlab - Code only !!!
This is a work in progress repository, thie files contained in this repository are only the code file (.m files) contained in GSW(Matlab). It is intended to be a method of assisting those who are translating the code into their prefered language.
Do not download this code and treat it as an distributed release of the GSW code - it is not under any circumstance.
The ONLY location to download software is from the TEOS-10 website http://www.TEOS-10.org/
Gibbs-SeaWater (GSW) Oceanographic Toolbox in Matlab - Code only !!!
This is a work in progress repository, thie files contained in this repository are only the code file (.m files) contained in GSW(Matlab). It is intended to be a method of assisting those who are translating the code into their prefered language.
Do not download this code and treat it as an distributed release of the GSW code - it is not under any circumstance.
The ONLY location to download software is from the TEOS-10 website http://www.TEOS-10.org/
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Types: Software (ocean related)
Languages:
Countries: Australia
Host Countries: Australia
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Gibbs-SeaWater, matlab, oceanography, sea water
Last updated: 02/05/2021
GSW python package (ODIS id: 1806)
https://pypi.org/project/gsw/
This Python implementation of the Thermodynamic Equation of Seawater 2010 (TEOS-10) is based primari ...
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GSW python package
This Python implementation of the Thermodynamic Equation of Seawater 2010 (TEOS-10) is based primarily on numpy ufunc wrappers of the GSW-C implementation. We expect it to replace the original python-gsw pure-python implementation after a brief overlap period. The primary reasons for this change are that by building on the C implementation we reduce code duplication and we gain an immediate update to the 75-term equation. Additional benefits include a major increase in speed, a reduction in memory usage, and the inclusion of more functions. The penalty is that a C (or MSVC C++ for Windows) compiler is required to build the package from source.
This Python implementation of the Thermodynamic Equation of Seawater 2010 (TEOS-10) is based primarily on numpy ufunc wrappers of the GSW-C implementation. We expect it to replace the original python-gsw pure-python implementation after a brief overlap period. The primary reasons for this change are that by building on the C implementation we reduce code duplication and we gain an immediate update to the 75-term equation. Additional benefits include a major increase in speed, a reduction in memory usage, and the inclusion of more functions. The penalty is that a C (or MSVC C++ for Windows) compiler is required to build the package from source.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: Gibbs-SeaWater, python, sea water
Last updated: 16/05/2021
HDFView is a visual tool for browsing and editing HDF4 and HDF5 files. Using HDFView, you can view a file hierarchy in a tree structure create new files, add or delete groups and datasets view and modify the content of a dataset add, delete and modify attributes.
HDFView is a visual tool for browsing and editing HDF4 and HDF5 files. Using HDFView, you can view a file hierarchy in a tree structure create new files, add or delete groups and datasets view and modify the content of a dataset add, delete and modify attributes.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: data visualization
Last updated: 26/04/2021
Assessment units are defined by HELCOM comtracting parties. An assessment units can have multiple indicators. Each indicator can have different temporal (months) and spatial (depths) coverage and reference values within the different assessment units.
HELCOM Eutrophication assessment tool (ODIS id 2297)
Assessment units are defined by HELCOM comtracting parties. An assessment units can have multiple indicators. Each indicator can have different temporal (months) and spatial (depths) coverage and reference values within the different assessment units.
HFRADAR Maps API - Coastal Observing Research and Development Center
HFRADAR Surface Currents API: do you want HFRADAR vectors on your map app.? We thought you might, so we built an API that allows you to access and query our tile base on your own.
With the inclusion of just a script tag and the Google Maps API, you can add your own vector overlays.
HFRADAR Maps API - Coastal Observing Research and Development Center (ODIS id 2317)
HFRADAR Maps API - Coastal Observing Research and Development Center
Original (non-English) name
Acronym
HFRADAR Maps API - CORDC
Citation
Abstract
HFRADAR Surface Currents API: do you want HFRADAR vectors on your map app.? We thought you might, so we built an API that allows you to access and query our tile base on your own.
With the inclusion of just a script tag and the Google Maps API, you can add your own vector overlays.
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: API, HF radar, data services
Last updated: 25/09/2021
High Frequency Radar API - Southeast Coastal Ocean Observing Regional Association (ODIS id: 2642)
Types: Software (ocean related)
Languages: English
Countries: REGIONAL
Host Countries: United States
Sea Region: no searegion defined
Themes: DS03 Physical oceanography
Keywords: API, HF radar
Last updated: 18/10/2021
HydroBase3 is a tool for climatological analysis of oceanographic properties. The package is comprised of software and database products that together provide a flexible means of constructing and analyzing datasets customized to investigators' research needs. A graphical user interface has been built to enable running HydroBase3 within a Matlab environment.
HydroBase3 is a tool for climatological analysis of oceanographic properties. The package is comprised of software and database products that together provide a flexible means of constructing and analyzing datasets customized to investigators' research needs. A graphical user interface has been built to enable running HydroBase3 within a Matlab environment.
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: no searegion defined
Themes: no theme defined
Keywords:
Last updated: 02/10/2021
HydrOffice package (ODIS id: 1882)
https://www.hydroffice.org/
HydrOffice represents an open-source collaborative effort led by the Center for Coastal and Ocean Ma ...
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HydrOffice package
HydrOffice represents an open-source collaborative effort led by the Center for Coastal and Ocean Mapping to develop a research software environment with applications to facilitate all phases of the ping-to-chart process: facilitate data acquisition, automate and enhance data processing, and improve hydrographic products.
The environment, by minimizing the efforts to kick-start and by easing the configuration management, facilitates the creation of new tools for researcher, students and in the field; and, potentially, it eases the industrialization of some of these tools. The overall goal is thus to speed up both algorithms testing and Research-to-Operation (R2O).
HydrOffice’s wide scope is structured in three research themes:
Facilitate Data Acquisition.
Automate and Enhance Data Processing.
Improve Hydrographic Products.
These themes drive the creation of a collection of hydro-packages, each of them dealing with a specific issue of the field.
HydrOffice has open licenses and encourages free contribution, and can facilitate development with an existing infrastructure and interface. Individual tools within HydrOffice are built in contained, modularized structures, such that they can be easily updated and maintained.
One of the main HydrOffice requirement is easiness in its extension. This goal is achieved by natively supporting a plugin architecture:
Base packages provide with common boiler-plate code.
Several hydro-packages where each one ship a few task-specific algorithms and can access common code from the base packages.
Furthermore, a skeleton package is provided with a base GUI to speed up and to ease the focus on the targeted weakness.
Finally, the individual tools in HydrOffice are usually also provided as “frozen”, standalone, click-and-play solutions that require no installation on behalf of the user.
All of the HydrOffice applications are made available within Pydro (a suite of software tools used to support hydrography developed and maintained by NOAA Office of Coast Survey's Hydrographic Systems and Technology Branch), to support NOAA operations (aiding Office of Coast Survey fleet). Pydro is also made available for public use.
HydrOffice represents an open-source collaborative effort led by the Center for Coastal and Ocean Mapping to develop a research software environment with applications to facilitate all phases of the ping-to-chart process: facilitate data acquisition, automate and enhance data processing, and improve hydrographic products.
The environment, by minimizing the efforts to kick-start and by easing the configuration management, facilitates the creation of new tools for researcher, students and in the field; and, potentially, it eases the industrialization of some of these tools. The overall goal is thus to speed up both algorithms testing and Research-to-Operation (R2O).
HydrOffice’s wide scope is structured in three research themes:
Facilitate Data Acquisition.
Automate and Enhance Data Processing.
Improve Hydrographic Products.
These themes drive the creation of a collection of hydro-packages, each of them dealing with a specific issue of the field.
HydrOffice has open licenses and encourages free contribution, and can facilitate development with an existing infrastructure and interface. Individual tools within HydrOffice are built in contained, modularized structures, such that they can be easily updated and maintained.
One of the main HydrOffice requirement is easiness in its extension. This goal is achieved by natively supporting a plugin architecture:
Base packages provide with common boiler-plate code.
Several hydro-packages where each one ship a few task-specific algorithms and can access common code from the base packages.
Furthermore, a skeleton package is provided with a base GUI to speed up and to ease the focus on the targeted weakness.
Finally, the individual tools in HydrOffice are usually also provided as “frozen”, standalone, click-and-play solutions that require no installation on behalf of the user.
All of the HydrOffice applications are made available within Pydro (a suite of software tools used to support hydrography developed and maintained by NOAA Office of Coast Survey's Hydrographic Systems and Technology Branch), to support NOAA operations (aiding Office of Coast Survey fleet). Pydro is also made available for public use.
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: no searegion defined
Themes: DS04 Marine geology
Keywords: bathymetry, data analysis, data processing, python, quality control
Last updated: 25/04/2021
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: NetCDF, oceanography, python
Last updated: 01/05/2021
Surface gravity waves play a major role in the exchange of momentum, heat, energy, and gases between the ocean and the atmosphere. The interaction between currents and waves can lead to variations in the wave direction, frequency, and amplitude. In the present work, we use an ensemble of synthetic currents to force the wave model WAVEWATCH III and assess the relative impact of current divergence and vorticity in modifying several properties of the waves, including direction, period, directional spreading, and significant wave height (Hs). We find that the spatial variability of Hs is highly sensitive to the nature of the underlying current and that refraction-caused vorticity in the rotational component of the flow is the main mechanism leading to gradients of Hs. The results obtained using synthetic currents were used to interpret the response of surface waves to realistic currents by running an additional set of simulations using the llc4320 MITgcm output in the California Current region. Our findings suggest that wave parameters could be used to detect and characterize strong gradients in the velocity field, which is particularly relevant for the Surface Water and Ocean Topography (SWOT) satellite as well as several proposed satellite missions.
Villas Bôas, Ana B. (2020, September 23). Source code for: 'Wave-Current Interactions at Meso and Submesoscales: Insights from Idealized Numerical Simulations' (Version v0.1). Zenodo. http://doi.org/10.5281/zenodo.4045184
Abstract
Surface gravity waves play a major role in the exchange of momentum, heat, energy, and gases between the ocean and the atmosphere. The interaction between currents and waves can lead to variations in the wave direction, frequency, and amplitude. In the present work, we use an ensemble of synthetic currents to force the wave model WAVEWATCH III and assess the relative impact of current divergence and vorticity in modifying several properties of the waves, including direction, period, directional spreading, and significant wave height (Hs). We find that the spatial variability of Hs is highly sensitive to the nature of the underlying current and that refraction-caused vorticity in the rotational component of the flow is the main mechanism leading to gradients of Hs. The results obtained using synthetic currents were used to interpret the response of surface waves to realistic currents by running an additional set of simulations using the llc4320 MITgcm output in the California Current region. Our findings suggest that wave parameters could be used to detect and characterize strong gradients in the velocity field, which is particularly relevant for the Surface Water and Ocean Topography (SWOT) satellite as well as several proposed satellite missions.
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Types: Software (ocean related)
Languages: Udmurt
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: python, surface waves, vorticity
Last updated: 30/04/2021
Inlinino is an open-source software data logger for oceanographers. It primarily log measurements from optical instruments deployed on research vessels during month long campaigns. Secondarily, it provides real-time visualization, which helps users troubleshoot instruments in the field and ensure collection of quality data. Inlinino is designed to interface with either serial (RS-232) or analog instruments. The data received is logged in a timestamped raw format (as communicated by the instrument) or in a comma separated file (csv) for easy importation in data analysis software. Typically, a new log file is created every hour for simplicity of post-processing and easy backups. Instruments supported are: SeaBird TSG, Satlantic PAR, WET Labs ECO sensors (e.g. ECO-BB3, ECO-FLBBCD, ECO-BBFL2, ECO-3X1M, ECO-BB9, ECO-BBRT), WET Labs ACS, Sequoia LISST, and analog sensors through a data acquisition system (DataQ DI-1100 ). Other instruments can be added via the user interface if they output simple ascii data frame, otherwise the code is intended to be modular to support new instruments.
Haentjens, N. and Boss, E., 2020. Inlinino: A Modular Software Data Logger for Oceanography. DIY Oceanography. DOI: 10.5670/oceanog.2020.112
Abstract
Inlinino is an open-source software data logger for oceanographers. It primarily log measurements from optical instruments deployed on research vessels during month long campaigns. Secondarily, it provides real-time visualization, which helps users troubleshoot instruments in the field and ensure collection of quality data. Inlinino is designed to interface with either serial (RS-232) or analog instruments. The data received is logged in a timestamped raw format (as communicated by the instrument) or in a comma separated file (csv) for easy importation in data analysis software. Typically, a new log file is created every hour for simplicity of post-processing and easy backups. Instruments supported are: SeaBird TSG, Satlantic PAR, WET Labs ECO sensors (e.g. ECO-BB3, ECO-FLBBCD, ECO-BBFL2, ECO-3X1M, ECO-BB9, ECO-BBRT), WET Labs ACS, Sequoia LISST, and analog sensors through a data acquisition system (DataQ DI-1100 ). Other instruments can be added via the user interface if they output simple ascii data frame, otherwise the code is intended to be modular to support new instruments.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere
Keywords: c++, data logger, oceanography, python
Last updated: 01/05/2021
Unidata’s Integrated Data Viewer (IDV) is a freely available 3D geoscience visualization and analysis tool that gives users the ability to view and analyze a rich set of geoscience data in an integrated fashion. The IDV brings together the ability to display and analyze satellite imagery, gridded data (such as numerical weather prediction model output), surface observations (METARs), upper air soundings, NWS NEXRAD Level II and Level III RADAR data, and GIS data, all within a unified interface. The IDV integrates tightly with common scientific data servers (including Unidata’s TDS) to provide easy access to many real-time and archive datasets. It also provides collaborative features that enable users to easily share their own data holdings and analysis products with others.
Unidata’s Integrated Data Viewer (IDV) is a freely available 3D geoscience visualization and analysis tool that gives users the ability to view and analyze a rich set of geoscience data in an integrated fashion. The IDV brings together the ability to display and analyze satellite imagery, gridded data (such as numerical weather prediction model output), surface observations (METARs), upper air soundings, NWS NEXRAD Level II and Level III RADAR data, and GIS data, all within a unified interface. The IDV integrates tightly with common scientific data servers (including Unidata’s TDS) to provide easy access to many real-time and archive datasets. It also provides collaborative features that enable users to easily share their own data holdings and analysis products with others.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: data analysis, data visualization
Last updated: 26/04/2021
Introduction to Physical Oceanography by R. Stewart.
Based on the work of Robert Stewart
Robert Stewart's "Introduction to Physical Oceanography" was the first oceanography textbook for many students. It was always the free high-quality source of basic oceanographic knowledge. Robert Stewart retired in 2009 and did not update the book after that. With his permission, we now publish the latest version of the book's LaTeX source code on GitHub. Dr. Stewart gives his permission to update the book by fixing errors and adding new information. He has only two conditions:
Don’t let the book grow into an encyclopedia. It is an INTRODUCTION, leaving details to more expert and focused publications (which could also be on the web server). Keep the book focused on the most important issues students need to know about. Today, satellite oceanography needs to be emphasized as most of our knowledge comes from satellites and drifters.
My only request is that the book not be offered for sale. It should be open source and available to everyone at no cost.
We are going to update the book through the usual GitHub procedure with PRs and code review. Any help and contributions from the oceanographic community will be greatly appreciated.
Introduction to Physical Oceanography by R. Stewart.
Based on the work of Robert Stewart
Robert Stewart's "Introduction to Physical Oceanography" was the first oceanography textbook for many students. It was always the free high-quality source of basic oceanographic knowledge. Robert Stewart retired in 2009 and did not update the book after that. With his permission, we now publish the latest version of the book's LaTeX source code on GitHub. Dr. Stewart gives his permission to update the book by fixing errors and adding new information. He has only two conditions:
Don’t let the book grow into an encyclopedia. It is an INTRODUCTION, leaving details to more expert and focused publications (which could also be on the web server). Keep the book focused on the most important issues students need to know about. Today, satellite oceanography needs to be emphasized as most of our knowledge comes from satellites and drifters.
My only request is that the book not be offered for sale. It should be open source and available to everyone at no cost.
We are going to update the book through the usual GitHub procedure with PRs and code review. Any help and contributions from the oceanographic community will be greatly appreciated.
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Types: Education and training materials (related to oceans), Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: oceanography
Last updated: 01/05/2021
This repository contains course materials for EESC4925. The lecture notes are in the form of interactive Jupyter Notebooks.
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Types: Education and training materials (related to oceans), Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: oceanography, python
Last updated: 26/04/2021
A user-friendly instrument designed to collect and calculate indicators of effective inventory management. The IMAT guides the user through a process of collecting data on the physical and theoretical stock balance and the duration of stockouts for a set of up to 25 frequently-used products, calculating indicators, analyzing the results, and identifying strategies for improving record-keeping and stock management practices. The IMAT comes as a computerized spreadsheet in Excel and includes instructions, a data collection form, analysis guidelines, recommendations, and a graphical display of the indicator results.
The IMAT is intended to be used in warehouses and other organizations that manage inventory (e.g. contraceptives, essential drugs, vaccines, IEC materials, surgical equipment). It is recommended to use the IMAT as a team exercise for identifying record-keeping and stock management problems and developing solutions to improve them. The assessment should be led by managers who are responsible for the warehouse's overall performance, in collaboration with other warehouse staff. The IMAT can also be conducted by a Technical Assistant as part of a consultancy.
Inventory Management Assessment Tool (ODIS id 1860)
A user-friendly instrument designed to collect and calculate indicators of effective inventory management. The IMAT guides the user through a process of collecting data on the physical and theoretical stock balance and the duration of stockouts for a set of up to 25 frequently-used products, calculating indicators, analyzing the results, and identifying strategies for improving record-keeping and stock management practices. The IMAT comes as a computerized spreadsheet in Excel and includes instructions, a data collection form, analysis guidelines, recommendations, and a graphical display of the indicator results.
The IMAT is intended to be used in warehouses and other organizations that manage inventory (e.g. contraceptives, essential drugs, vaccines, IEC materials, surgical equipment). It is recommended to use the IMAT as a team exercise for identifying record-keeping and stock management problems and developing solutions to improve them. The assessment should be led by managers who are responsible for the warehouse's overall performance, in collaboration with other warehouse staff. The IMAT can also be conducted by a Technical Assistant as part of a consultancy.
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL, United States
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: Excel, inventory management, record-keeping, stock and fishery data, stock balance, stock management
Last updated: 09/05/2021
Richard Hattersley, Bill Little, Phil Elson, Ed Campbell, Patrick Peglar, Peter Killick, … abooton. (2021, January 27). SciTools/iris: v3.0.1 (Version v3.0.1). Zenodo. http://doi.org/10.5281/zenodo.4473254
Abstract
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
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Types: Software (ocean related)
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS05 Atmosphere, DS06 Cross-discipline
Keywords: Earth Science data, data analysis, data visualization, earth science, python
Last updated: 01/05/2021
iSharkFin is an expert system that uses machine learning techniques to identify shark species from shark fin shapes. The software was developed by FAO in collaboration with the University of Vigo with financial support from the Government of Japan and the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES).
Aimed at port inspectors, custom agents, fish traders and other users without formal taxonomic training, iSharkFin allows the identification of shark species from a picture of the fin.
The iSharkFin takes an interactive process. Users only need to take a standard photo, select some characteristics of a fin and choose a few points on the fin shape, iSharkFin will automatically analyze the information and tell you the shark specie from which the fin comes.
iSharkFin is an expert system that uses machine learning techniques to identify shark species from shark fin shapes. The software was developed by FAO in collaboration with the University of Vigo with financial support from the Government of Japan and the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES).
Aimed at port inspectors, custom agents, fish traders and other users without formal taxonomic training, iSharkFin allows the identification of shark species from a picture of the fin.
The iSharkFin takes an interactive process. Users only need to take a standard photo, select some characteristics of a fin and choose a few points on the fin shape, iSharkFin will automatically analyze the information and tell you the shark specie from which the fin comes.
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: no searegion defined
Themes: DS11 Fisheries and aquaculture
Keywords: Marine Species, machine learning, shark fins, sharks, taxonomy
Last updated: 09/10/2021
The materials in this repository present the stock assessment tool ‘Just Another Bayesian Biomass Assessment’ JABBA. The motivation for developing JABBA was to provide a user-friendly R to JAGS (Plummer) interface for fitting generalized Bayesian State-Space SPMs with the aim to generate reproducible stock status estimates and diagnostics. Building on recent advances in optimizing the fitting procedures through the development of Bayesian state-space modelling approaches, JABBA originates from a continuous development process of a Bayesian State-Space SPM tool that has been applied and tested in many assessments across oceans. JABBA was conceived in the Hawaiian Summer of 2015 as a collaboration between young researchers from South Africa and the Pacific Islands Fisheries Science Center (NOAA) in Honolulu, HI USA. The goal was to provide a bridge between age-structured and biomass dynamic models, which are still widely used. JABBA runs quickly and by default generates many useful plots and diagnosic tools for stock assessments.
Just Another Bayesian Biomass Assessment (ODIS id 1856)
The materials in this repository present the stock assessment tool ‘Just Another Bayesian Biomass Assessment’ JABBA. The motivation for developing JABBA was to provide a user-friendly R to JAGS (Plummer) interface for fitting generalized Bayesian State-Space SPMs with the aim to generate reproducible stock status estimates and diagnostics. Building on recent advances in optimizing the fitting procedures through the development of Bayesian state-space modelling approaches, JABBA originates from a continuous development process of a Bayesian State-Space SPM tool that has been applied and tested in many assessments across oceans. JABBA was conceived in the Hawaiian Summer of 2015 as a collaboration between young researchers from South Africa and the Pacific Islands Fisheries Science Center (NOAA) in Honolulu, HI USA. The goal was to provide a bridge between age-structured and biomass dynamic models, which are still widely used. JABBA runs quickly and by default generates many useful plots and diagnosic tools for stock assessments.
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: Bayesian state-space, diagnostic tools, fisheries, r-package, stock assessment
Last updated: 09/05/2021
KAPTAN is an application developed by the Physical Oceanography Research Group, Dept. of Geosciences, University of Malta, as part of the CALYPSO FO project. It uses HF radar operational data, satellite data and numerical models to provide information on the present and predicted sea conditions in the Malta-Sicily Channel. The smartphone app was developed by Think Ltd.
Disclaimer: The Physical Oceanography Research Group makes every effort to ensure that information contained in this smartphone application is accurate and up to date. However, the Physical Oceanography Research Group accepts no liability and/or responsibility for the reliance placed by the users of this application on the information contained in this application or any other information accessed via this application. The information provided in this application is provided on an "as is" basis and no warranties of any kind are issued whether expressly or implied by the Physical Oceanography Research Group on the information provided.
KAPTAN is an application developed by the Physical Oceanography Research Group, Dept. of Geosciences, University of Malta, as part of the CALYPSO FO project. It uses HF radar operational data, satellite data and numerical models to provide information on the present and predicted sea conditions in the Malta-Sicily Channel. The smartphone app was developed by Think Ltd.
Disclaimer: The Physical Oceanography Research Group makes every effort to ensure that information contained in this smartphone application is accurate and up to date. However, the Physical Oceanography Research Group accepts no liability and/or responsibility for the reliance placed by the users of this application on the information contained in this application or any other information accessed via this application. The information provided in this application is provided on an "as is" basis and no warranties of any kind are issued whether expressly or implied by the Physical Oceanography Research Group on the information provided.
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Types: Software (ocean related)
Languages: English
Countries: Malta
Host Countries: Malta
Sea Region: Mediterranean Sea
Themes: DS03 Physical oceanography
Keywords: HF radar, Modelling, mobile phone application, satellite data
Last updated: 11/12/2021
Please Note: The Let’s Explore Oceans app requires our product specific Holographic Cube and a Smartphone to play. Find out how to get yours by visiting www.LetsExplore.com
Welcome to Let’s Explore: Oceans - a breathtaking environment exploring our planet’s wondrous oceans and the amazing creatures that exist within in AR/VR.
Utilizing both Virtual and Augmented reality, be transported on a wonderful journey of discovery from within the palm of your hand. Get closer than ever with your VR goggles.
Be truly amazed by the magical holographic cube.
Simple to get started
Fun for the family
Safe, secure adventure
Exciting, educational learning experience
Want to dive with sharks? No problem.
Want to submerge deep into the Arctic Ocean? Easy!
Want to investigate whales while holding one in your hand? Simple!
Launch the app, tap Headset or Phone mode. Point your smartphone at the cube and watch as it transforms into our very own planet earth. Simply rotate the globe to browse the menu of experiences, hovering over each pin for more information on the featurette. Just gaze at the marker to launch each immersive virtual reality movie or stunning augmented reality experience.
Please Note: The Let’s Explore Oceans app requires our product specific Holographic Cube and a Smartphone to play. Find out how to get yours by visiting www.LetsExplore.com
Welcome to Let’s Explore: Oceans - a breathtaking environment exploring our planet’s wondrous oceans and the amazing creatures that exist within in AR/VR.
Utilizing both Virtual and Augmented reality, be transported on a wonderful journey of discovery from within the palm of your hand. Get closer than ever with your VR goggles.
Be truly amazed by the magical holographic cube.
Simple to get started
Fun for the family
Safe, secure adventure
Exciting, educational learning experience
Want to dive with sharks? No problem.
Want to submerge deep into the Arctic Ocean? Easy!
Want to investigate whales while holding one in your hand? Simple!
Launch the app, tap Headset or Phone mode. Point your smartphone at the cube and watch as it transforms into our very own planet earth. Simply rotate the globe to browse the menu of experiences, hovering over each pin for more information on the featurette. Just gaze at the marker to launch each immersive virtual reality movie or stunning augmented reality experience.
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please check the record details page
Host institution of the resource
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Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United Kingdom
Sea Region: no searegion defined
Themes: DS12 Human activities
Keywords: mobile phone application
Last updated: 11/12/2021
Liège Colloquium on Ocean Dynamics started in 2016, this project was meant to store the LaTeX files used to create the colloquium poster for the 2016 edition. It has evolved into a more consistent repository with a few Jupyter notebooks designed to prepare figures and illustrations for the Colloquium and that could be re-used for future editions, hopefully.
For the 50th Edition (2018), the plan was to have an overview of the previous editions in terms of countries, topics and participants.
Liège Colloquium on Ocean Dynamics started in 2016, this project was meant to store the LaTeX files used to create the colloquium poster for the 2016 edition. It has evolved into a more consistent repository with a few Jupyter notebooks designed to prepare figures and illustrations for the Colloquium and that could be re-used for future editions, hopefully.
For the 50th Edition (2018), the plan was to have an overview of the previous editions in terms of countries, topics and participants.
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Countries owning the source
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Education and training materials (related to oceans), Software (ocean related)
Languages: English
Countries: Belgium
Host Countries: Belgium
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, data analysis, data assimilation, numerical simulations, oceanography, python, remote sensing, submesoscale, turbulence
Last updated: 01/05/2021
Lifewatch e-lab (ODIS id: 115)
http://www.lifewatch.be/en/e-lab
LifeWatch builds and operates open E-science infrastructure that can support biodiversity and ecosys ...
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Lifewatch e-lab
LifeWatch builds and operates open E-science infrastructure that can support biodiversity and ecosystem research. The developed e-services facilitate open data exchange, visualization and analysis and are provided to the user through dedicated Virtual Laboratories and applications. Virtual labs that provide marine services can be accessed through the Marine Virtual Research Environment (VRE).
LifeWatch builds and operates open E-science infrastructure that can support biodiversity and ecosystem research. The developed e-services facilitate open data exchange, visualization and analysis and are provided to the user through dedicated Virtual Laboratories and applications. Virtual labs that provide marine services can be accessed through the Marine Virtual Research Environment (VRE).
Line app is a mobile application providing surfers with all information related to surf spots and surf schools all around the world. It is also a surf community allowing all users to share videos, pictures and interact.
Line app Surf Forecast Report Cams Community (ODIS id 3202)
Line app is a mobile application providing surfers with all information related to surf spots and surf schools all around the world. It is also a surf community allowing all users to share videos, pictures and interact.
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Italy
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere, DS12 Human activities
Keywords: Modelling, mobile phone application, surf, waves, wind
Last updated: 11/12/2021
M2M (Machine to Machine) Interface - Ocean Observatories Initiative
The OOI Machine-to-Machine (M2M) interface provides access to OOI data via a RESTful Application Programming Interface (API). A RESTful API allows two software programs to communicate with each other. For OOI, this interface allows authenticated users to request small amounts of data via synchronous JSON requests, request larger amounts of data in NetCDF or CSV format to download multiple data streams or data from multiple platforms, or set up recurring downloads to update an existing dataset. Additionally, searches of the asset management system can be executed to find deployment, calibration, quality control parameters, annotations, and other information, both in bulk and for specific instruments or platforms.
M2M (Machine to Machine) Interface - Ocean Observatories Initiative (ODIS id 471)
M2M (Machine to Machine) Interface - Ocean Observatories Initiative
Original (non-English) name
Acronym
M2M Interface - OOI
Citation
Citing OOI Data The “Ocean Observatories Initiative” should be cited as the source for any data used in research projects or papers derived from OOI instrumentation, including posts on social media where a link to the OOI data must be provided. General Data Source When citing OOI as the general data source, we encourage authors to use the following format: NSF Ocean Observatories Initiative Data Portal, http://ooinet.oceanobservatories.org. Downloaded on (date_accessed). Specific Instrument and Time Frame When citing data from a specific instrument and time range, we suggest the following format: NSF Ocean Observatories Initiative Data Portal, http://ooinet.oceanobservatories.org, (data_type, reference_designator) data from (start_date) to (end_date). Downloaded on (date_accessed). For example: NSF Ocean Observatories Initiative Data Portal, http://ooinet.oceanobservatories.org, Bottom Pressure Tilt (RS03CCAL-MJ03F-05-BOTPTA301) data from 25 January 2015 to 25 May 2016. Downloaded on 17 June 2016.
Abstract
The OOI Machine-to-Machine (M2M) interface provides access to OOI data via a RESTful Application Programming Interface (API). A RESTful API allows two software programs to communicate with each other. For OOI, this interface allows authenticated users to request small amounts of data via synchronous JSON requests, request larger amounts of data in NetCDF or CSV format to download multiple data streams or data from multiple platforms, or set up recurring downloads to update an existing dataset. Additionally, searches of the asset management system can be executed to find deployment, calibration, quality control parameters, annotations, and other information, both in bulk and for specific instruments or platforms.
Types: Data systems/portals (allowing downloading of data sets), Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: Atlantic Ocean, Pacific Ocean, Southern Ocean
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere
Keywords: ADCP, AUV, CTD, cabled obsrvatories, cyberinfrastructure, data and information, data discovey, data quality, data services, oceanographic data, oceans, open access, profiling buoy, science-driven ocean observing network, time-series
Last updated: 02/10/2021
Repository for machine actionable data management plans (maDMPs) created for Data Stewardship course at TU Vienna.
This project was created for the course Data Stewardship, summer term 2020 at TU Vienna. The goal of this open source project is to provide a system that allows users to manage and expose machine readable data management plans (maDMPs) to achieve FAIR data (see TU Vienna FAIR, Exposing maDMPs).
Repository for machine actionable data management plans (maDMPs) created for Data Stewardship course at TU Vienna.
This project was created for the course Data Stewardship, summer term 2020 at TU Vienna. The goal of this open source project is to provide a system that allows users to manage and expose machine readable data management plans (maDMPs) to achieve FAIR data (see TU Vienna FAIR, Exposing maDMPs).
Technical contact email
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Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
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Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Austria
Host Countries: Austria
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS05 Atmosphere, DS06 Cross-discipline, DS09 Cryosphere, DS10 Environment, DS11 Fisheries and aquaculture
Keywords: FAIRness, Java, TypeScript, angular, data management plan, docker, elasticsearch, madmp, mongodb, spring-boot, tu-vienna
Last updated: 10/05/2021
Marine and Coastal Water Quality Index - Marine and Coastal Research Institute of Colombia (ODIS id: 963)
Marine and Coastal Water Quality Index - Marine and Coastal Research Institute of Colombia
ICAM is a statistical information tool that allows evaluating changes in the state of marine and coastal water quality, based on criteria or standards that allows quantifying the state of conservation or deterioration of water according to its characteristics and based on its use or destination in the specific place and time.
Marine and Coastal Water Quality Index - Marine and Coastal Research Institute of Colombia (ODIS id 963)
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This resource is
online
Last check was 07/11/2025 22:43
First entry: 27/04/2020
Last update: 23/11/2023
Submitter/Owner
Mr. Leonardo Jose ARIAS ALEMÁN ( OceanExpert :
12914
)
Marine and Coastal Water Quality Index - Marine and Coastal Research Institute of Colombia
Original (non-English) name
Indicador de la Calidad de las Aguas Marinas - Instituto de Investigaciones Marinas y Costeras de Colombia
Acronym
ICAM - INVEMAR
Citation
INVEMAR. (año de consulta). Sistema de información de la Red de vigilancia para la conservación y protección de las aguas marinas y costeras. Base de datos del índice de Calidad de aguas marinas - ICAM. Disponible en: https://siam.invemar.org.co/redcam (Fecha de consulta)
Abstract
ICAM is a statistical information tool that allows evaluating changes in the state of marine and coastal water quality, based on criteria or standards that allows quantifying the state of conservation or deterioration of water according to its characteristics and based on its use or destination in the specific place and time.
Marine biology app aims to integrate augmented reality simulation aids with multi-modal learning resources to facilitate experiential learning experience in a laboratory course at HKUST. The platform enhances student's engagement in various learning activities such as field trips and laboratory sessions, provide useful English resources for report writing, and motivate students to incorporate experiential learning in their pilot projects. Meanwhile, students can write their own logs and dairies for teachers to understand their latest learning process.
Marine biology app aims to integrate augmented reality simulation aids with multi-modal learning resources to facilitate experiential learning experience in a laboratory course at HKUST. The platform enhances student's engagement in various learning activities such as field trips and laboratory sessions, provide useful English resources for report writing, and motivate students to incorporate experiential learning in their pilot projects. Meanwhile, students can write their own logs and dairies for teachers to understand their latest learning process.
Technical contact email
please check the record details page
Host institution of the resource
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Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: China
Sea Region: World
Themes: DS01 Biological oceanography, DS12 Human activities
Keywords: augmented reality simulation, education, experiential learning, mobile phone application
Last updated: 11/12/2021
Marine Conditions (ODIS id: 362)
https://slgo.ca/conditions
The "Marine Conditions" application developed by the St. Lawrence Global Observatory (SLGO) displays ...
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Marine Conditions
The "Marine Conditions" application developed by the St. Lawrence Global Observatory (SLGO) displays a wide range of recent and near real-time data collected by various monitoring systems installed in a vast territory from the Great Lakes to the St. Lawrence Gulf. Thus, this Web application allows the visualization and access to multiple physico-chemical data measured by sensors from buoys, tide gauges, thermographs, radars and meteorological stations. Data related to air, currents, water, waves and winds are available.
[Dataset Owner]. [YEAR(s) of the downloaded data set]. [Name of dataset]. Data published on St. Lawrence Global Observatory's-SLGO portal. [https://slgo.ca]. Access date: [YYYY-MM-DD].
Abstract
The "Marine Conditions" application developed by the St. Lawrence Global Observatory (SLGO) displays a wide range of recent and near real-time data collected by various monitoring systems installed in a vast territory from the Great Lakes to the St. Lawrence Gulf. Thus, this Web application allows the visualization and access to multiple physico-chemical data measured by sensors from buoys, tide gauges, thermographs, radars and meteorological stations. Data related to air, currents, water, waves and winds are available.
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Host institution of the resource
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Spatial Coverage
bbox=-138.85,41.83,-52.59,69.44
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets), Information of platforms (buoys, sensors, floats, gliders, satellites), Maps and atlases (geospatial products), Real-time observing systems (and access to their metadata and data), Software (ocean related)
Languages: English, French
Countries: Canada
Host Countries: Canada
Sea Region: Atlantic Ocean, Bay of Fundy, Coastal Waters of Southeast Alaska and British Columbia, Gulf of St. Lawrence, Lake Erie, Lake Huron, Lake Michigan, Lake Ontario, Lake St. Clair, Lake Superior, Laurentian Great Lakes, North Atlantic Ocean
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere, DS06 Cross-discipline, DS10 Environment, DS11 Fisheries and aquaculture, DS12 Human activities
Keywords: Chlorophyll, Ocean acidification, Phytoplankton, Sea surface temperature, nutrients, ocean carbon, ocean colour, ocean currents, oxygen, salinity, sea level, water temperature, waves
Last updated: 14/02/2019
Marine Debris Tracker mobile app (ODIS id: 1861)
https://debristracker.org/
Debris Tracker is designed to help citizen scientists like you make a difference by contributing dat ...
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Marine Debris Tracker mobile app
Debris Tracker is designed to help citizen scientists like you make a difference by contributing data on plastic pollution in your community. We've been tracking litter since before smartphones existed, and we're still driven by uniting technology and citizen science to fight plastic pollution. Every day, dedicated educational, non-profit, and scientific organizations and passionate citizen scientists from all around the world record data on inland and marine debris with our easy-to-use app, contributing to our open data platform and scientific research.
Debris Tracker is designed to help citizen scientists like you make a difference by contributing data on plastic pollution in your community. We've been tracking litter since before smartphones existed, and we're still driven by uniting technology and citizen science to fight plastic pollution. Every day, dedicated educational, non-profit, and scientific organizations and passionate citizen scientists from all around the world record data on inland and marine debris with our easy-to-use app, contributing to our open data platform and scientific research.
Technical contact email
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
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Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS12 Human activities
Keywords: Marine litter, citizen science, marine debris, mobile phone application
Last updated: 21/04/2021
Marine engineering includes the engineering of boats, ships, oil rigs and any other marine vessel or structure, as well as oceanographic engineering. Specifically, marine engineering is the discipline of applying engineering sciences, including mechanical engineering, electrical engineering, electronic engineering, and computer science, to the development, design, operation and maintenance of watercraft propulsion and on-board systems and oceanographic technology. It includes but is not limited to power and propulsion plants, machinery, piping, automation and control systems for marine vehicles of any kind, such as surface ships and submarines.
Marine engineering includes the engineering of boats, ships, oil rigs and any other marine vessel or structure, as well as oceanographic engineering. Specifically, marine engineering is the discipline of applying engineering sciences, including mechanical engineering, electrical engineering, electronic engineering, and computer science, to the development, design, operation and maintenance of watercraft propulsion and on-board systems and oceanographic technology. It includes but is not limited to power and propulsion plants, machinery, piping, automation and control systems for marine vehicles of any kind, such as surface ships and submarines.
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: India
Sea Region: no searegion defined
Themes: DS12 Human activities
Keywords: marine engineering, mobile phone application
Last updated: 11/12/2021
Marine Geospatial Ecology Tools (MGET) is a free, open-source geoprocessing toolbox that can help you solve a wide variety of marine research, conservation, and spatial planning problems. MGET plugs into ArcGIS and can perform tasks such as:
- Accessing oceanographic data from ArcGIS,
- Identifying ecologically-relevant oceanographic features in remote sensing imagery,
- Building predictive species distribution models,
- Modeling habitat connectivity by simulating hydrodynamic dispersal of larvae,
- Detecting spatiotemporal patterns in fisheries and other time series data.
Marine Geospatial Ecology Tools (MGET) is a free, open-source geoprocessing toolbox that can help you solve a wide variety of marine research, conservation, and spatial planning problems. MGET plugs into ArcGIS and can perform tasks such as:
- Accessing oceanographic data from ArcGIS,
- Identifying ecologically-relevant oceanographic features in remote sensing imagery,
- Building predictive species distribution models,
- Modeling habitat connectivity by simulating hydrodynamic dispersal of larvae,
- Detecting spatiotemporal patterns in fisheries and other time series data.
Download MGET Tools
Accessing oceanographic data from ArcGIS
Identifying ecologically-relevant oceanographic features in remote sensing imagery
Building predictive species distribution models
Modeling habitat connectivity by simulating hydrodynamic dispersal of larvae
Detecting spatiotemporal patterns in fisheries and other time series data
Download MGET Tools
Accessing oceanographic data from ArcGIS
Identifying ecologically-relevant oceanographic features in remote sensing imagery
Building predictive species distribution models
Modeling habitat connectivity by simulating hydrodynamic dispersal of larvae
Detecting spatiotemporal patterns in fisheries and other time series data
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS11 Fisheries and aquaculture
Keywords: ArcGis, Spatial data, data access, distribution models, fisheries, habitat connectivity, hydrodynamic dispersal, larvae, oceanographic data, spatiotemporal patterns
Last updated: 10/05/2021
This free educational application is a nice collection of about fifty high-resolution pictures of marine animals, a glimpse into their beautiful aquatic world. Suitable for people of any age, this virtual dive allows the exploration of the most interesting species that live in the salt water of the seas or oceans. Moreover, you can find out a few data about their habitat, along with some of their distinct body features. Each page displays a unique marine species; you can zoom in, zoom out and translate a little its current image. If there are orientation sensors, a gyroscopic effect will be present all the time, slightly rotating the image in accordance with your moves. This app is mainly designed for tablets (landscape orientation), but it works fine on the modern phones too (Android 5 or newer).
Features
--no ads, no limitations of any kind
--special software optimization to lower the power consumption
--simple commands, easy navigation between pages
--zoom in, zoom out, pseudo gyroscopic effect
--high definition pictures, background music, text to speech option
This free educational application is a nice collection of about fifty high-resolution pictures of marine animals, a glimpse into their beautiful aquatic world. Suitable for people of any age, this virtual dive allows the exploration of the most interesting species that live in the salt water of the seas or oceans. Moreover, you can find out a few data about their habitat, along with some of their distinct body features. Each page displays a unique marine species; you can zoom in, zoom out and translate a little its current image. If there are orientation sensors, a gyroscopic effect will be present all the time, slightly rotating the image in accordance with your moves. This app is mainly designed for tablets (landscape orientation), but it works fine on the modern phones too (Android 5 or newer).
Features
--no ads, no limitations of any kind
--special software optimization to lower the power consumption
--simple commands, easy navigation between pages
--zoom in, zoom out, pseudo gyroscopic effect
--high definition pictures, background music, text to speech option
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Romania
Host Countries: Romania
Sea Region: World
Themes: DS01 Biological oceanography, DS12 Human activities
Keywords: Marine Species, education, virtual reality
Last updated: 12/12/2021
This app is a complete package for Mariners appearing for 2nd Mates Foreign Going Examination. It consists of all study stuffs required for the examination point of view considering both Orals and Written Examination including B.Sc.
We have gathered various contents which makes our app one and only app available on Play Store having all contents at one place. All contents are placed systematically and organised in such a way so that you don't face any difficulty while using the app.
You can also contribute by sending contents to our Telegram Group. We will update the content as soon as possible to make app a better in every further updates.
We are open to Feedback and Suggestions, we have provided in app Feedback Option to receive your valuable opinions and work on it. We're always listening :)
This app is a complete package for Mariners appearing for 2nd Mates Foreign Going Examination. It consists of all study stuffs required for the examination point of view considering both Orals and Written Examination including B.Sc.
We have gathered various contents which makes our app one and only app available on Play Store having all contents at one place. All contents are placed systematically and organised in such a way so that you don't face any difficulty while using the app.
You can also contribute by sending contents to our Telegram Group. We will update the content as soon as possible to make app a better in every further updates.
We are open to Feedback and Suggestions, we have provided in app Feedback Option to receive your valuable opinions and work on it. We're always listening :)
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: India
Host Countries: India
Sea Region: World
Themes: DS12 Human activities
Keywords: education, mariners, mobile phone application
Last updated: 11/12/2021
The topic you will get in the app are:
Aquaculture
Aquaculture Engineering
Assessment
Biochemistry
Biological and chemical
Biology
Biostatistics
Climate change and fisheries
Coastal and Marine
Coastal zone Management
Economics
Environmental law
Fish Genetics
Fish nutrition
Fish physiology
Fish population dynamics
Fish processing
Fisheries resource
Fisheries science
Fisheries systematics
Fishery products
Freshwater Aquaculture
Histology and embryology
Ichthyology
Introduction to ecology
Introduction to fisheries
Introduction to genetics and molecular
Introduction to Oceanography
Limnology
Mangrove ecosystem
Marine And estuarine ecology
Oceanography
Research methodology
Resources fisheries
Rural sociology
The topic you will get in the app are:
Aquaculture
Aquaculture Engineering
Assessment
Biochemistry
Biological and chemical
Biology
Biostatistics
Climate change and fisheries
Coastal and Marine
Coastal zone Management
Economics
Environmental law
Fish Genetics
Fish nutrition
Fish physiology
Fish population dynamics
Fish processing
Fisheries resource
Fisheries science
Fisheries systematics
Fishery products
Freshwater Aquaculture
Histology and embryology
Ichthyology
Introduction to ecology
Introduction to fisheries
Introduction to genetics and molecular
Introduction to Oceanography
Limnology
Mangrove ecosystem
Marine And estuarine ecology
Oceanography
Research methodology
Resources fisheries
Rural sociology
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: no searegion defined
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS05 Atmosphere, DS06 Cross-discipline, DS10 Environment, DS11 Fisheries and aquaculture, DS12 Human activities
Keywords: education, marine science, mobile phone application
Last updated: 12/12/2021
Maritime Knowledge: The Marine Education App (ODIS id: 3181)
"Maritime Knowledge Application" is a result of complete efforts of research in the field of Marine education. The main aim of this application is provide quality education to Marine students.
We have a well course comprising online study materials, Video lectures on our website as well as Mobile app.
For using our Applications, Student's save their time and energy by providing well structured and simplified study materials and video lectures by well experienced professors.
This will allow the students to access the quality education by anywhere in the world.
However, Maritime Knowledge Application is a students friendly and also completely free application.
Maritime Knowledge: The Marine Education App (ODIS id 3181)
"Maritime Knowledge Application" is a result of complete efforts of research in the field of Marine education. The main aim of this application is provide quality education to Marine students.
We have a well course comprising online study materials, Video lectures on our website as well as Mobile app.
For using our Applications, Student's save their time and energy by providing well structured and simplified study materials and video lectures by well experienced professors.
This will allow the students to access the quality education by anywhere in the world.
However, Maritime Knowledge Application is a students friendly and also completely free application.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: India
Host Countries: India
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: education, mobile phone application
Last updated: 12/12/2021
The Maritime Spatial Planning (MSP) Challenge simulation platform was designed by BUAS to provide policymakers, stakeholders and students with insight into the maritime (blue) economy and marine environment and how to manage them.
The MSP simulation platform integrates the best available geo, maritime and marine data with simulation models for ecology, shipping and energy production. It uses “advanced game technology” and a game mindset”: The platform is therefore designed to get user involvement so that it becomes a perfect environment for stakeholder contact, planning through co-design, knowledge development and education.
The MSP Challenge North Sea edition provides a solid foundation for the Digital Twin of the North Sea, with an emphasis on the Dutch EEZ.
Maritime Spatial Planning Challenge Tool - DigiShape (ODIS id 3122)
The Maritime Spatial Planning (MSP) Challenge simulation platform was designed by BUAS to provide policymakers, stakeholders and students with insight into the maritime (blue) economy and marine environment and how to manage them.
The MSP simulation platform integrates the best available geo, maritime and marine data with simulation models for ecology, shipping and energy production. It uses “advanced game technology” and a game mindset”: The platform is therefore designed to get user involvement so that it becomes a perfect environment for stakeholder contact, planning through co-design, knowledge development and education.
The MSP Challenge North Sea edition provides a solid foundation for the Digital Twin of the North Sea, with an emphasis on the Dutch EEZ.
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Types
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Contributing data to
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Types: Software (ocean related)
Languages: Dutch
Countries: Netherlands
Host Countries: Netherlands
Sea Region: no searegion defined
Themes: DS06 Cross-discipline, DS10 Environment
Keywords: blue economy, marine environments, policy makers, tool description
Last updated: 25/01/2022
MD&D is a MATLAB toolbox for design and then testing single point oceanographic moorings influenced by currents and wind. The supplied database will allow you to build a mooring and test it under typical current conditions, or force it by a time series of current profiles to generate a time series of mooring shapes and component positions.
Richard Dewey (2021). Mooring Design and Dynamics (https://www.mathworks.com/matlabcentral/fileexchange/1629-mooring-design-and-dynamics), MATLAB Central File Exchange. Retrieved May 16, 2021.
Abstract
MD&D is a MATLAB toolbox for design and then testing single point oceanographic moorings influenced by currents and wind. The supplied database will allow you to build a mooring and test it under typical current conditions, or force it by a time series of current profiles to generate a time series of mooring shapes and component positions.
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Canada
Host Countries: Canada
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, matlab, mooring, mooring lines, numerical simulations
Last updated: 16/05/2021
Medclic Kids App - Coastal observation and prediction system of the Balearic Islands (ODIS id: 1977)
http://medclic.es/es/kids/
The MEDCLIC KIDS APP is an educational app designed to introduce little ones to the world of marine ...
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Medclic Kids App - Coastal observation and prediction system of the Balearic Islands
The MEDCLIC KIDS APP is an educational app designed to introduce little ones to the world of marine science by playing, developed by the Balearic Islands Coastal Observing and Forecasting System (SOCIB) within the framework of the “MEDCLIC: The Mediterranean just a click away” project in collaboration with Obra Social "la Caixa".
APP MEDCLIC KIDS is free-of-charge and ad-free. It has an oceanography-related interactive screen, puzzles, and memory and vocabulary games. In MEDCLIC KIDS APP, Glidey is a friendly, yellow underwater glider who explains to us how marine technologies help us to get to know about and conserve our seas.
Medclic Kids App - Coastal observation and prediction system of the Balearic Islands (ODIS id 1977)
Medclic Kids App - Coastal observation and prediction system of the Balearic Islands
Original (non-English) name
Acronym
Medclic Kids App - SOCIB
Citation
Abstract
The MEDCLIC KIDS APP is an educational app designed to introduce little ones to the world of marine science by playing, developed by the Balearic Islands Coastal Observing and Forecasting System (SOCIB) within the framework of the “MEDCLIC: The Mediterranean just a click away” project in collaboration with Obra Social "la Caixa".
APP MEDCLIC KIDS is free-of-charge and ad-free. It has an oceanography-related interactive screen, puzzles, and memory and vocabulary games. In MEDCLIC KIDS APP, Glidey is a friendly, yellow underwater glider who explains to us how marine technologies help us to get to know about and conserve our seas.
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Education and training materials (related to oceans), Multimedia content, Software (ocean related)
Languages: Catalan, English, Spanish
Countries: Spain
Host Countries: Spain
Sea Region: Alboran Sea, Balearic Sea, Mediterranean Region, Strait of Gibraltar
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: Training and education, education, knowledge and information, marine science, oceanography
Last updated: 11/10/2022
https://github.com/MIDOSS/docs
This is documentation about the MEOPAR MIDOSS (Model of Impact of Dilbit and Oil Spills in the Salis ...
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MEOPAR MIDOSS Project Documentation
This is documentation about the MEOPAR MIDOSS (Model of Impact of Dilbit and Oil Spills in the Salish Sea) project.
These docs are rendered at https://midoss-docs.readthedocs.io/en/latest/.
The Salish Sea and coastal communities are at risk of marine oil spills from various ship sources, including tankers carrying diluted bitumen (dilbit), which are projected to increase. This project seeks to improve scientific knowledge and tools to support evidence-based planning for oil spills. Using the latest observations from the Ocean Networks Canada Ocean Observatory and a suite of state-of-the-art models, we will improve modeling of dilbit in the coastal ocean, prediction of near-surface currents, and risk communication strategies for diverse decision-making groups. We will produce predictions of strong currents and extreme high/low water for pilots to help reduce ship accidents, as well as risk maps and related information products to aid in community planning and in addressing ecosystem vulnerability.
MEOPAR MIDOSS Project Documentation (ODIS id 1919)
This is documentation about the MEOPAR MIDOSS (Model of Impact of Dilbit and Oil Spills in the Salish Sea) project.
These docs are rendered at https://midoss-docs.readthedocs.io/en/latest/.
The Salish Sea and coastal communities are at risk of marine oil spills from various ship sources, including tankers carrying diluted bitumen (dilbit), which are projected to increase. This project seeks to improve scientific knowledge and tools to support evidence-based planning for oil spills. Using the latest observations from the Ocean Networks Canada Ocean Observatory and a suite of state-of-the-art models, we will improve modeling of dilbit in the coastal ocean, prediction of near-surface currents, and risk communication strategies for diverse decision-making groups. We will produce predictions of strong currents and extreme high/low water for pilots to help reduce ship accidents, as well as risk maps and related information products to aid in community planning and in addressing ecosystem vulnerability.
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Countries owning the source
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Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Canada
Host Countries: Canada
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, oceanography, python
Last updated: 30/04/2021
Mesh of Oceanography - Edutainment Ventures (ODIS id: 3172)
Word mesh and search games have been in talk since ages. It is a game for people of all age groups. Mesh of Oceanography will introduce you to the worldwide Oceanography with search technique. In this busy world you have no time to explore your interests. Mesh of Oceanography breaks the ice by giving you a handy gaming app, wherein you can add a new list of interests.
The Great Marine Life! With detailed facts and images, this brilliant Oceanography learning game helps you to identify thousands of marine species (plants, animals and other organisms) that dwell in the cavernous parts of the ocean. Play to gain in-depth information of aquatic species including shape, special features, phyla etc. Students and educators interested in Oceanography must download this game now. In the gaming section, you can search for the hidden Oceanography names in mesh. The list is given below. You must find all the words to move to the next level. With every pass you get to learn something new. Attempt Trivia to boost the score and learn more about Oceanography. Get through the hurdles, gain perks and gifts. Collect them in your kitty, Edubank, for future reference. Know everything about Oceanography like category etc.
Game Features:-
-- 25 Episodes with over 1000 levels
-- 2000+ Trivia from the worldwide Oceanography
-- Test the knowledge at Trivia, use Free and Premium Clues
-- Timer to keep the excitement in Quiz
-- Know rare facts about Oceanography
Unique Boosters for help in need:-
-- Halve It - Eliminates two “wrong” choices.
-- Premium Clue - Get details of Oceanography like category.
-- Peek a Boo - Hint for the answer flashes before you. Be alert!
-- Wild Card Clown - Reveals part of the answer.
-- Autocomplete - Reveals all the words. Sit back and let it do the work.
-- Time Buyer - Get some more time to proceed in the game.
-- Premium Hint - Check how to strike the word.
Improve your knowledge based on Oceanography, sitting at home. Cut the boredom with exciting Mesh of Oceanography. Search and Win with the fun game.
**Edutainment Ventures brings the SMARTY games-> “Simple Masterly Approach to Refine Thinking for YOU”. Hold on, Game on and Learn on!
Mesh of Oceanography - Edutainment Ventures (ODIS id 3172)
Word mesh and search games have been in talk since ages. It is a game for people of all age groups. Mesh of Oceanography will introduce you to the worldwide Oceanography with search technique. In this busy world you have no time to explore your interests. Mesh of Oceanography breaks the ice by giving you a handy gaming app, wherein you can add a new list of interests.
The Great Marine Life! With detailed facts and images, this brilliant Oceanography learning game helps you to identify thousands of marine species (plants, animals and other organisms) that dwell in the cavernous parts of the ocean. Play to gain in-depth information of aquatic species including shape, special features, phyla etc. Students and educators interested in Oceanography must download this game now. In the gaming section, you can search for the hidden Oceanography names in mesh. The list is given below. You must find all the words to move to the next level. With every pass you get to learn something new. Attempt Trivia to boost the score and learn more about Oceanography. Get through the hurdles, gain perks and gifts. Collect them in your kitty, Edubank, for future reference. Know everything about Oceanography like category etc.
Game Features:-
-- 25 Episodes with over 1000 levels
-- 2000+ Trivia from the worldwide Oceanography
-- Test the knowledge at Trivia, use Free and Premium Clues
-- Timer to keep the excitement in Quiz
-- Know rare facts about Oceanography
Unique Boosters for help in need:-
-- Halve It - Eliminates two “wrong” choices.
-- Premium Clue - Get details of Oceanography like category.
-- Peek a Boo - Hint for the answer flashes before you. Be alert!
-- Wild Card Clown - Reveals part of the answer.
-- Autocomplete - Reveals all the words. Sit back and let it do the work.
-- Time Buyer - Get some more time to proceed in the game.
-- Premium Hint - Check how to strike the word.
Improve your knowledge based on Oceanography, sitting at home. Cut the boredom with exciting Mesh of Oceanography. Search and Win with the fun game.
**Edutainment Ventures brings the SMARTY games-> “Simple Masterly Approach to Refine Thinking for YOU”. Hold on, Game on and Learn on!
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Countries owning the source
Sea Region
Spatial Coverage
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Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: no searegion defined
Themes: DS06 Cross-discipline
Keywords: Marine Species, education, mobile phone application, oceanography
Last updated: 13/12/2021
Metadata Application - Iranian National Center for Ocean Data (ODIS id: 9)
Metadata Application - Iranian National Center for Ocean Data
The Iranian National Center for Ocean Data (INCOD) has developed Metadata entry tool based on ISO 19139 standard.
This application was developed in order to manipulate and publish metadata records by marine organizations. It is freely accessible through INCOD portal.
Metadata Application - Iranian National Center for Ocean Data (ODIS id 9)
Metadata Application - Iranian National Center for Ocean Data
Original (non-English) name
Acronym
Metadata Application - INCOD
Citation
Abstract
The Iranian National Center for Ocean Data (INCOD) has developed Metadata entry tool based on ISO 19139 standard.
This application was developed in order to manipulate and publish metadata records by marine organizations. It is freely accessible through INCOD portal.
Persian Gulf, Oman Sea, Caspian Sea, Arabian Sea, Indian Ocean, Iranian coast
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Iran
Host Countries: Iran
Sea Region: Caspian Sea, Gulf of Oman, Indian Ocean, Persian Gulf
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS05 Atmosphere
Keywords: data discovey, metadata
Last updated: 11/11/2023
MetOClient package - Finnish Meteorological Institute (ODIS id: 1880)
https://github.com/fmidev/metolib
MetOClient is a JavaScript library for map animations, based on OpenLayers 6. If you are looking for ...
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MetOClient package - Finnish Meteorological Institute
MetOClient is a JavaScript library for map animations, based on OpenLayers 6. If you are looking for an older version, check out the v4 branch.
An animation is defined by map layers containing time rules. The map standards it supports are WMS, WMTS and GeoJSON. The configuration is given in a JSON object which is an extension of a Mapbox style configuration.
An animation API is provided to extend OpenLayers map methods.
MetOClient package - Finnish Meteorological Institute (ODIS id 1880)
MetOClient package - Finnish Meteorological Institute
Original (non-English) name
MetOClient - FMI
Acronym
Citation
Abstract
MetOClient is a JavaScript library for map animations, based on OpenLayers 6. If you are looking for an older version, check out the v4 branch.
An animation is defined by map layers containing time rules. The map standards it supports are WMS, WMTS and GeoJSON. The configuration is given in a JSON object which is an extension of a Mapbox style configuration.
An animation API is provided to extend OpenLayers map methods.
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Finland
Host Countries: Finland
Sea Region: Baltic Sea
Themes: DS05 Atmosphere
Keywords: data visualization, javascript, map animations
Last updated: 25/04/2021
MGP Ríos - Hydrography and Navigation Directorate of the Peruvian Navy (ODIS id: 734)
MGP Ríos - Hydrography and Navigation Directorate of the Peruvian Navy
The Hydrography and Navigation Directorate of the Peruvian Navy, through the "MGP-RIOS" Application, displays the following in a friendly and simple way: daily record of the levels of the main rivers of the Amazon, histogram of daily variation compared to the maximum, minimum and average historical levels, times of Rising and Emptying of the Amazon rivers and about the Hydrography and Navigation Service of the Amazon.
MGP Ríos - Hydrography and Navigation Directorate of the Peruvian Navy (ODIS id 734)
MGP Ríos - Hydrography and Navigation Directorate of the Peruvian Navy
Original (non-English) name
MGP Ríos - Dirección de Hidrografía y Navegación de la Marina de Guerra del Perú
Acronym
APP MGP RIOS
Citation
Abstract
The Hydrography and Navigation Directorate of the Peruvian Navy, through the "MGP-RIOS" Application, displays the following in a friendly and simple way: daily record of the levels of the main rivers of the Amazon, histogram of daily variation compared to the maximum, minimum and average historical levels, times of Rising and Emptying of the Amazon rivers and about the Hydrography and Navigation Service of the Amazon.
MGP TSUNAMI - National Tsunami Warning Center of the Peruvian Navy
With the application of the National Tsunami Warning Center of the Peruvian Navy, you will be able to know the following:
- Visualization of the Flood Zones of the Peruvian coast, these zones are shaded in two colors: pink and red. These are simulations of tsunamis caused by earthquakes of different magnitudes.
- Visualization of the National Seismic Report in which the latest earthquakes that have occurred in the country and abroad are detailed.
- Download the available flood cards.
- Prevention tips to know what actions to take in case of Tsunamis.
- Videos and information of interest about the function of the National Tsunami Warning Center.
MGP TSUNAMI - National Tsunami Warning Center of the Peruvian Navy (ODIS id 733)
MGP TSUNAMI - National Tsunami Warning Center of the Peruvian Navy
Original (non-English) name
MGP TSUNAMI - Centro Nacional de Alerta de Tsunamis de la Marina de Guerra del Perú
Acronym
Citation
Abstract
With the application of the National Tsunami Warning Center of the Peruvian Navy, you will be able to know the following:
- Visualization of the Flood Zones of the Peruvian coast, these zones are shaded in two colors: pink and red. These are simulations of tsunamis caused by earthquakes of different magnitudes.
- Visualization of the National Seismic Report in which the latest earthquakes that have occurred in the country and abroad are detailed.
- Download the available flood cards.
- Prevention tips to know what actions to take in case of Tsunamis.
- Videos and information of interest about the function of the National Tsunami Warning Center.
A new way of data analysis and visualization to provide insight into complex relationships. With the MIJ brain you create a story from your data within a few clicks.
Within the framework of DigiShape, Rijkswaterstaat and HKV have developed the open source tool MIJ Brain, in which you can provide insight into large amounts of data in a simple and fast way.
"With MIJ brain you go on a journey of discovery in your data," says Mattijn van Hoek of HKV. "Thanks to the powerful and relatively simple visualization, you can quickly endorse your current policy, but also discover new and in-depth insights. Because the instrument is relatively simple, you can quickly get started as a data analyst, but also as a policy maker. "
A new way of data analysis and visualization to provide insight into complex relationships. With the MIJ brain you create a story from your data within a few clicks.
Within the framework of DigiShape, Rijkswaterstaat and HKV have developed the open source tool MIJ Brain, in which you can provide insight into large amounts of data in a simple and fast way.
"With MIJ brain you go on a journey of discovery in your data," says Mattijn van Hoek of HKV. "Thanks to the powerful and relatively simple visualization, you can quickly endorse your current policy, but also discover new and in-depth insights. Because the instrument is relatively simple, you can quickly get started as a data analyst, but also as a policy maker. "
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Types: Software (ocean related)
Languages: Dutch
Countries: Netherlands
Host Countries: Netherlands
Sea Region: no searegion defined
Themes: DS06 Cross-discipline
Keywords: data analysis, data visualization, tool description
Last updated: 25/01/2022
MITgcm is a numerical model designed for the study of the atmosphere, ocean, and climate. For an overview, please see MIT's Climate Modeling Initiative (CMI) which introduces the MITgcm model, its applications, and the development team.
MITgcm’s flexible non-hydrostatic formulation enables it to efficiently simulate fluid phenomena over a wide range of scales; its adjoint capabilities enable it to be applied to sensitivity questions and to parameter and state estimation problems. By employing fluid equation isomorphisms, a single dynamical kernel can be used to simulate flow of both the atmosphere and ocean. The model is developed to perform efficiently on a wide variety of computational platforms.
MITgcm is a numerical model designed for the study of the atmosphere, ocean, and climate. For an overview, please see MIT's Climate Modeling Initiative (CMI) which introduces the MITgcm model, its applications, and the development team.
MITgcm’s flexible non-hydrostatic formulation enables it to efficiently simulate fluid phenomena over a wide range of scales; its adjoint capabilities enable it to be applied to sensitivity questions and to parameter and state estimation problems. By employing fluid equation isomorphisms, a single dynamical kernel can be used to simulate flow of both the atmosphere and ocean. The model is developed to perform efficiently on a wide variety of computational platforms.
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Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: Modelling, atmospheric and oceanic modelling, climate, fluid phenomena simulation, numerical simulations
Last updated: 08/05/2021
The UBC EOAS MOAD Group Tools package (moad_tools) is a collection of Python modules that facilitate code reuse for the UBC EOAS MOAD Group.
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Types: Software (ocean related)
Languages: English
Countries: Canada
Host Countries: Canada
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: data access, data processing, python
Last updated: 01/05/2021
mocsy package (ODIS id: 1851)
https://github.com/jamesorr/mocsy
mocsy is a Fortran 95 package designed to compute all carbonate system variables from total dissolve ...
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mocsy package
mocsy is a Fortran 95 package designed to compute all carbonate system variables from total dissolved inorganic carbon (DIC) and total alkalinity, particularly from models. It updates previous OCMIP code, avoids 3 common model approximations, and offers the best-practice constants as well as more recent options. It agrees with CO2SYS within 0.005%.
The mocsy package is described by Orr and Epitalon (2015) and has been compared to other packages that compute marine carbonate chemistry (Orr et al., 2015). More recently, new routinnes were added to propagate uncertainties and compute sensitivities of derived variables to input variables (Orr et al., 2018)
mocsy is a Fortran 95 package designed to compute all carbonate system variables from total dissolved inorganic carbon (DIC) and total alkalinity, particularly from models. It updates previous OCMIP code, avoids 3 common model approximations, and offers the best-practice constants as well as more recent options. It agrees with CO2SYS within 0.005%.
The mocsy package is described by Orr and Epitalon (2015) and has been compared to other packages that compute marine carbonate chemistry (Orr et al., 2015). More recently, new routinnes were added to propagate uncertainties and compute sensitivities of derived variables to input variables (Orr et al., 2018)
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: France
Host Countries: France
Sea Region: World
Themes: DS02 Chemical oceanography
Keywords: Modelling, carbonate system, fortran
Last updated: 10/05/2021
About
A command-line tool for doing various operations associated with the MIDOSS project version of the MOHID model. MOHID-Cmd is based on, and provides MIDOSS-MOHID-specific extensions for https://github.com/SalishSeaCast/NEMO-Cmd/
About
A command-line tool for doing various operations associated with the MIDOSS project version of the MOHID model. MOHID-Cmd is based on, and provides MIDOSS-MOHID-specific extensions for https://github.com/SalishSeaCast/NEMO-Cmd/
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Data policy
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Themes
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Canada
Host Countries: Canada
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: Modelling, automation, oceanography, python
Last updated: 01/05/2021
Motu is a high efficient and robust Web Server which fills the gap between heterogeneous data providers to end users. Motu handles, extracts and transforms oceanographic huge volumes of data without performance collapse. This client enables to extract and download data through a python command line.
Motu is a high efficient and robust Web Server which fills the gap between heterogeneous data providers to end users. Motu handles, extracts and transforms oceanographic huge volumes of data without performance collapse. This client enables to extract and download data through a python command line.
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: France
Host Countries: France
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: data analysis
Last updated: 01/05/2021
The Magicseaweed mobile app provides long-range surf forecasts for thousands of spots around the globe. Our forecasts include the MSW star rating; surf height; swell height; period and direction; wind speed and direction and air and water temperatures. With the MSW app you'll have access to:
- More than 150 surf cams worldwide.
- Panoramic, multi-view surf cams.
- Swell, wind, period and pressure charts.
- Live buoy and wind data.
- Real-time surf reports from our network of trusted reporters.
- MSW editorial features and the latest surf news.
- Your favourite spots, accessible across any device.
- Our local surf-spot and beach business directory.
- The best surf-specific photo gallery, uploaded by you, in the world.
And for the ultimate Magicseaweed experience, upgrade to Pro on magicseaweed.com and receive:
- Unlimited advert-free access to our global surf cam network.
- 16-day extended spot forecasts.
- 16-day extended charts.
- 16-day extended tides.
- Access to decades of historical forecast data.
- No adverts. Ever.
The easiest way to find exactly what the surf is doing at locations around you. Making it easier than ever to decide where to surf.
The Magicseaweed mobile app provides long-range surf forecasts for thousands of spots around the globe. Our forecasts include the MSW star rating; surf height; swell height; period and direction; wind speed and direction and air and water temperatures. With the MSW app you'll have access to:
- More than 150 surf cams worldwide.
- Panoramic, multi-view surf cams.
- Swell, wind, period and pressure charts.
- Live buoy and wind data.
- Real-time surf reports from our network of trusted reporters.
- MSW editorial features and the latest surf news.
- Your favourite spots, accessible across any device.
- Our local surf-spot and beach business directory.
- The best surf-specific photo gallery, uploaded by you, in the world.
And for the ultimate Magicseaweed experience, upgrade to Pro on magicseaweed.com and receive:
- Unlimited advert-free access to our global surf cam network.
- 16-day extended spot forecasts.
- 16-day extended charts.
- 16-day extended tides.
- Access to decades of historical forecast data.
- No adverts. Ever.
The easiest way to find exactly what the surf is doing at locations around you. Making it easier than ever to decide where to surf.
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Host institution of the resource
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United Kingdom
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere, DS12 Human activities
Keywords: Modelling, mobile phone application, surf, surfzone, waves, webcam, wind
Last updated: 11/12/2021
Multi-thematic support system for environmental monitoring - Institute for Marine and Coastal Research of Colombia (ODIS id: 960)
https://argos.invemar.org.co/login
ARGOS is a data warehouse to which a design based on a metamodel is applied that allows the definiti ...
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Multi-thematic support system for environmental monitoring - Institute for Marine and Coastal Research of Colombia
ARGOS is a data warehouse to which a design based on a metamodel is applied that allows the definition of attributes and their domains in a dynamic way; the operational requirements of loading and unloading data are fulfilled by combining software of own development and templates programmed in MS Excel; The administration of the system combines elements of policy, regulations and security in which the organizational principles that apply to the users of the system, the standards of documentation by means of metadata and the operational mechanisms that guarantee the confidentiality and integrity of the data are clearly defined. The system manages monitoring data series of Colombia's marine ecosystems, some of them taken since 1990.
Multi-thematic support system for environmental monitoring - Institute for Marine and Coastal Research of Colombia (ODIS id 960)
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Last check was 07/11/2025 22:43
First entry: 27/04/2020
Last update: 23/11/2023
Submitter/Owner
Mr. Leonardo Jose ARIAS ALEMÁN ( OceanExpert :
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Multi-thematic support system for environmental monitoring - Institute for Marine and Coastal Research of Colombia
Original (non-English) name
SISTEMA DE SOPORTE MULTITEMÁTICO PARA EL MONITOREO AMBIENTAL - Instituto de Investigaciones Marinas y Costeras de Colombia
Acronym
ARGOS - INVEMAR
Citation
Authors, year, dataset title. Dataset. URL or DOI.
Abstract
ARGOS is a data warehouse to which a design based on a metamodel is applied that allows the definition of attributes and their domains in a dynamic way; the operational requirements of loading and unloading data are fulfilled by combining software of own development and templates programmed in MS Excel; The administration of the system combines elements of policy, regulations and security in which the organizational principles that apply to the users of the system, the standards of documentation by means of metadata and the operational mechanisms that guarantee the confidentiality and integrity of the data are clearly defined. The system manages monitoring data series of Colombia's marine ecosystems, some of them taken since 1990.
Multivariate analysis is the area of statistics that deals with observations made on many variables. The main objective is to study how the variables are related to one another, and how they work in combination to distinguish between the cases on which the observations are made.
The analysis of multivariate data permeates every research discipline: biology, medicine, environmental science, sociology, economics, education, linguistics, archaeology, anthropology, psychology and behavioural science, to name a few, and has even been applied in philosophy. All natural and physical processes are essentially multivariate in nature—the challenge is to understand the process in a multivariate way, where variables are connected and their relationships understood, as opposed to a bunch of univariate processes, i.e. single variables at a time, isolated from one another.
Multivariate Statistics' Project - Fundación BBVA (ODIS id 1330)
Multivariate analysis is the area of statistics that deals with observations made on many variables. The main objective is to study how the variables are related to one another, and how they work in combination to distinguish between the cases on which the observations are made.
The analysis of multivariate data permeates every research discipline: biology, medicine, environmental science, sociology, economics, education, linguistics, archaeology, anthropology, psychology and behavioural science, to name a few, and has even been applied in philosophy. All natural and physical processes are essentially multivariate in nature—the challenge is to understand the process in a multivariate way, where variables are connected and their relationships understood, as opposed to a bunch of univariate processes, i.e. single variables at a time, isolated from one another.
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Contributing data to
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Types: Bibliographic infobases including library catalogues and document repositories, Education and training materials (related to oceans), Information on projects, Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Spain
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: ecological analysis, research projects, statistical analysis, statistics
Last updated: 16/04/2021
All the information you need to know to plan activities at sea in a simple and practical app.
More than 15,000 coastal stations around the world.
TIDES
Daily tide charts and tidal coefficient. High tides and low tides. Tides height. Monthly tide table. Tides for fishing.
SURF
Height and direction of the swell, wave period, hourly surf table.
FISH ACTIVITY
Hourly activity chart and solunar periods with the best fishing moments of every day. Tides4fishing. Monthly activity table with daily fish activity and major and minor fishing periods.
SUN AND MOON
Sunrise, sunset, moonrise, moonset, azimut, moon phases, eclipses, transits and other astronomical data.
BAROMETER
Fishing barometer, pressure graph and hourly pressure table with trend indicator.
WIND
Wind at land and wind at sea: wind speed, wind gust, wind force, land and sea conditions and hourly wind table.
WEATHER
Weather conditions at coast: Cloud cover, visibility, temperature, precipitation, wind chill, humidity, dew point and hourly weather table.
MARINE
Open water forecast for marine/sailing. Includes all weather indicators and also the water temp. Hourly marine table.
NAUTIDE: tides wind waves solunar marine (ODIS id 3171)
All the information you need to know to plan activities at sea in a simple and practical app.
More than 15,000 coastal stations around the world.
TIDES
Daily tide charts and tidal coefficient. High tides and low tides. Tides height. Monthly tide table. Tides for fishing.
SURF
Height and direction of the swell, wave period, hourly surf table.
FISH ACTIVITY
Hourly activity chart and solunar periods with the best fishing moments of every day. Tides4fishing. Monthly activity table with daily fish activity and major and minor fishing periods.
SUN AND MOON
Sunrise, sunset, moonrise, moonset, azimut, moon phases, eclipses, transits and other astronomical data.
BAROMETER
Fishing barometer, pressure graph and hourly pressure table with trend indicator.
WIND
Wind at land and wind at sea: wind speed, wind gust, wind force, land and sea conditions and hourly wind table.
WEATHER
Weather conditions at coast: Cloud cover, visibility, temperature, precipitation, wind chill, humidity, dew point and hourly weather table.
MARINE
Open water forecast for marine/sailing. Includes all weather indicators and also the water temp. Hourly marine table.
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Host institution of the resource
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Spain
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere, DS12 Human activities
Keywords: Modelling, mobile phone application, waves, weather foreast, wind
Last updated: 13/12/2021
NCDatasets allows one to read and create netCDF files. NetCDF data set and attribute list behave like Julia dictionaries and variables like Julia arrays.
NCDatasets allows one to read and create netCDF files. NetCDF data set and attribute list behave like Julia dictionaries and variables like Julia arrays.
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Types: Software (ocean related)
Languages: English
Countries: Belgium
Host Countries: Belgium
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: Julia, NetCDF, climatology, meteorology, oceanography
Last updated: 29/04/2021
The NEMO_Nowcast package is a collection of Python modules that can be used to build a software system to run ocean models such as NEMO in a daily nowcast/forecast mode.
The NEMO_Nowcast package is a collection of Python modules that can be used to build a software system to run ocean models such as NEMO in a daily nowcast/forecast mode.
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Salish Sea
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Types: Software (ocean related)
Languages: English
Countries: Canada
Host Countries: Canada
Sea Region: Pacific Ocean
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere, DS10 Environment
Keywords: Modelling, automation, oceanography, python, river outflow
Last updated: 04/07/2021
Nemo Modelling platform (ODIS id: 1798)
https://www.nemo-ocean.eu/
NEMO standing for "Nucleus for European Modelling of the Ocean" is a state-of-the-art modelling fram ...
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Nemo Modelling platform
NEMO standing for "Nucleus for European Modelling of the Ocean" is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium.
Madec Gurvan, Romain Bourdallé-Badie, Jérôme Chanut, Emanuela Clementi, Andrew Coward, Christian Ethé, … Guillaume Samson. (2019, October 24). NEMO ocean engine (Version v4.0). Notes Du Pôle De Modélisation De L'institut Pierre-simon Laplace (IPSL). Zenodo. http://doi.org/10.5281/zenodo.3878122
Abstract
NEMO standing for "Nucleus for European Modelling of the Ocean" is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium.
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Types
Interaction techs
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: Modelling
Last updated: 08/05/2021
NOAA Fisheries Toolbox (ODIS id: 1858)
https://nmfs-fish-tools.github.io/
The NOAA Fish and Fisheries Toolbox (Fish-Tools) is a collection of software programs and modeling t ...
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NOAA Fisheries Toolbox
The NOAA Fish and Fisheries Toolbox (Fish-Tools) is a collection of software programs and modeling tools which can be used in fishery stock assessments. Many of the models are used in peer-reviewed stock assessments in the U.S. and globally. A variety of fisheries stock assessment models as well as analytical and reporting tools are available, each of which uses a different type of estimation method to produce results. The NOAA Fish and Fisheries Toolbox (Fish-Tools) is part of the NOAA Fisheries Integrated Toolbox (FIT) and is an expansion and update to the NOAA Fisheries Toolbox (NFT)
The NOAA Fish and Fisheries Toolbox (Fish-Tools) is a collection of software programs and modeling tools which can be used in fishery stock assessments. Many of the models are used in peer-reviewed stock assessments in the U.S. and globally. A variety of fisheries stock assessment models as well as analytical and reporting tools are available, each of which uses a different type of estimation method to produce results. The NOAA Fish and Fisheries Toolbox (Fish-Tools) is part of the NOAA Fisheries Integrated Toolbox (FIT) and is an expansion and update to the NOAA Fisheries Toolbox (NFT)
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Types
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography, DS11 Fisheries and aquaculture
Keywords: Modelling, fisheries, fisheries stock assessment models, toolbox
Last updated: 09/05/2021
Samuel, Pieter Provoost, & Ward Appeltans. (2018, November 16). iobis/obistools: version 0.0.6 (Version v0.0.6). Zenodo. http://doi.org/10.5281/zenodo.1489937
Abstract
R package for the obistools service, for data enhancement and quality control of OBIS data
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: OBIS, Sea surface temperature, bathymetry, biodiversity, data services, oceans, salinity
Last updated: 24/11/2021
oce (ODIS id: 1906)
https://github.com/dankelley/oce
Oce is an R package for processing oceanographic data. Its webpage provides details, of which this R ...
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oce
Oce is an R package for processing oceanographic data. Its webpage provides details, of which this README file is just a sketch. A book by one of the oce co-authors provides more information on the package and its potential for oceanographic research (Kelley, Dan E., 2018. Oceanographic Analysis with R. New York. Springer-Verlag ISBN 978-1-4939-8844-0).
Oce is an R package for processing oceanographic data. Its webpage provides details, of which this README file is just a sketch. A book by one of the oce co-authors provides more information on the package and its potential for oceanographic research (Kelley, Dan E., 2018. Oceanographic Analysis with R. New York. Springer-Verlag ISBN 978-1-4939-8844-0).
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Canada
Host Countries: Canada
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: oceanography, r-package
Last updated: 29/04/2021
Oceanography CTD used and design by UPCT Mar Menor research group. A CTD device’s primary function is to detect how the conductivity and temperature of the water column changes relative to depth. This CTD obtain the values of colored dissolved organic matter (CDOM), Phycoerythrin (PE) and Chlorophyll (CHL). Currently using a master-slave communication. An Arduino is doing the slave, and the mastering task its doing for other devices, like phone or laptop.
Oceanography CTD used and design by UPCT Mar Menor research group. A CTD device’s primary function is to detect how the conductivity and temperature of the water column changes relative to depth. This CTD obtain the values of colored dissolved organic matter (CDOM), Phycoerythrin (PE) and Chlorophyll (CHL). Currently using a master-slave communication. An Arduino is doing the slave, and the mastering task its doing for other devices, like phone or laptop.
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Host institution of the resource
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Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
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Themes
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Spain
Host Countries: Spain
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: CTD, c++
Last updated: 01/05/2021
Ocean Navigator is a Data Visualization tool that enables users to discover and view 3D ocean model output quickly and easily.
The model outputs are stored as NetCDF4 files. Our file management is now handled by an SQLite3 process that incrementally scans the files for a dataset, and updates a corresponding table so that the Python layer can only open the exact files required to perform computations; as opposed to the THREDDS aggregation approach which serves all the files in a dataset as a single netcdf file. The THREDDS approach was unable to scale to the sheer size of the datasets we deal with.
The server-side component of the Ocean Navigator is written in Python 3, using the Flask web API. Conceptually, it is broken down into three components:
Query Server
This portion returns metadata about the selected dataset in JSON format. These queries include things like the list of variables in the dataset, the times covered, the list of depths for that dataset, etc.
The other queries include things such as predefined areas (NAFO divisions, EBSAs, etc), and ocean drifter paths. The drifter paths are loaded from NetCDF files, but all the other queries are loaded from KML files.
Plotting
This portion generates an image plot, which could be a map with surface fields (or fields at a particular depth), a transect through a defined part of the ocean, depth profiles of one or more points, etc. We use the matplotlib python module to generate the plots.
Because the model grid rarely lines up with the map projection, and profiles and transects don't necessarily fall on model grid points, we employ some regridding and interpolation to generate these plots. For example, for a map plot, we select all the model points that fall within the area, plus some extra around the edges and regrid to a 500x500 grid that is evenly spaced over the projection area. An added benefit of this regridding is that we can directly compare across models with different grids. This allows us to calculate anomalies on the fly by comparing the model to a climatology. In theory, this would also allow for computing derived outputs from variables in different datasets with different native grids.
Tile Server
This portion is really a special case of the plotting component. The tile server serves 256x256 pixel tiles at different resolutions and projections that can be used by the OpenLayers web mapping API. This portion doesn't use matplotlib, as the tiles don't have axis labels, titles, legends, etc. The same style of interpolation/regridding is done to generate the data for the images.
The generated tiles are cached to disk after they are generated the first time, this allows the user request to bypass accessing the NetCDF files entirely on subsequent requests.
The user interface is written in Javascript using the React framework. This allows for a single-page, responsive application that offloads as much processing from the server onto the user's browser as possible. For example, if the user chooses to load points from a CSV file, the file is parsed in the browser and only necessary parts of the result are sent back to the server for plotting.
The main display uses the OpenLayers mapping API to allow the user to pan around the globe to find the area of interest. It also allows the user to pick an individual point to get more information about, draw a transect on the map, or draw a polygon to extract a map or statistics for an area.
Ocean Navigator is a Data Visualization tool that enables users to discover and view 3D ocean model output quickly and easily.
The model outputs are stored as NetCDF4 files. Our file management is now handled by an SQLite3 process that incrementally scans the files for a dataset, and updates a corresponding table so that the Python layer can only open the exact files required to perform computations; as opposed to the THREDDS aggregation approach which serves all the files in a dataset as a single netcdf file. The THREDDS approach was unable to scale to the sheer size of the datasets we deal with.
The server-side component of the Ocean Navigator is written in Python 3, using the Flask web API. Conceptually, it is broken down into three components:
Query Server
This portion returns metadata about the selected dataset in JSON format. These queries include things like the list of variables in the dataset, the times covered, the list of depths for that dataset, etc.
The other queries include things such as predefined areas (NAFO divisions, EBSAs, etc), and ocean drifter paths. The drifter paths are loaded from NetCDF files, but all the other queries are loaded from KML files.
Plotting
This portion generates an image plot, which could be a map with surface fields (or fields at a particular depth), a transect through a defined part of the ocean, depth profiles of one or more points, etc. We use the matplotlib python module to generate the plots.
Because the model grid rarely lines up with the map projection, and profiles and transects don't necessarily fall on model grid points, we employ some regridding and interpolation to generate these plots. For example, for a map plot, we select all the model points that fall within the area, plus some extra around the edges and regrid to a 500x500 grid that is evenly spaced over the projection area. An added benefit of this regridding is that we can directly compare across models with different grids. This allows us to calculate anomalies on the fly by comparing the model to a climatology. In theory, this would also allow for computing derived outputs from variables in different datasets with different native grids.
Tile Server
This portion is really a special case of the plotting component. The tile server serves 256x256 pixel tiles at different resolutions and projections that can be used by the OpenLayers web mapping API. This portion doesn't use matplotlib, as the tiles don't have axis labels, titles, legends, etc. The same style of interpolation/regridding is done to generate the data for the images.
The generated tiles are cached to disk after they are generated the first time, this allows the user request to bypass accessing the NetCDF files entirely on subsequent requests.
The user interface is written in Javascript using the React framework. This allows for a single-page, responsive application that offloads as much processing from the server onto the user's browser as possible. For example, if the user chooses to load points from a CSV file, the file is parsed in the browser and only necessary parts of the result are sent back to the server for plotting.
The main display uses the OpenLayers mapping API to allow the user to pan around the globe to find the area of interest. It also allows the user to pick an individual point to get more information about, draw a transect on the map, or draw a polygon to extract a map or statistics for an area.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Canada
Host Countries: Canada
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: javascript, oceanography, python
Last updated: 29/04/2021
Meet an array of wonderful marine creatures and observe them up close in Augmented Reality! From the cute clown anemonefish to various fascinating sharks, Ocean 4D+ is here to take you on an underwater marine voyage.
CARD & CARDLESS AUGMENTED REALITY EXPERIENCE
Place the 3D marine creatures directly in your environment or scan the cards available on our website below to summon the animals right in front of you.
DIGITAL ENCYCLOPEDIA
Visit the 3D Library feature to learn more about many amazing marine animals. Be aware of their conservation status and the threats they are facing. Find out about their diet, sizes, and in which ocean layer(s) do they live.
* Minimum Device Requirements for Ocean 4D+:
1. Min OS (for cardless AR feature) : Android 6.0 (Marshmallow)
2. Min OS (for cards AR feature) : Android 5.0 (Lollipop)
3. Processor: Qualcomm chipset, 1.2 GHz
4. Ram: 3 GB
5. Camera: 8 MPX
6. Memory card supports Augmented Reality feature
7. Not compatible with Intel Atom processor
Meet an array of wonderful marine creatures and observe them up close in Augmented Reality! From the cute clown anemonefish to various fascinating sharks, Ocean 4D+ is here to take you on an underwater marine voyage.
CARD & CARDLESS AUGMENTED REALITY EXPERIENCE
Place the 3D marine creatures directly in your environment or scan the cards available on our website below to summon the animals right in front of you.
DIGITAL ENCYCLOPEDIA
Visit the 3D Library feature to learn more about many amazing marine animals. Be aware of their conservation status and the threats they are facing. Find out about their diet, sizes, and in which ocean layer(s) do they live.
* Minimum Device Requirements for Ocean 4D+:
1. Min OS (for cardless AR feature) : Android 6.0 (Marshmallow)
2. Min OS (for cards AR feature) : Android 5.0 (Lollipop)
3. Processor: Qualcomm chipset, 1.2 GHz
4. Ram: 3 GB
5. Camera: 8 MPX
6. Memory card supports Augmented Reality feature
7. Not compatible with Intel Atom processor
Technical contact email
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Host institution of the resource
Technical notes
Interface Languages
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
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Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Indonesia
Sea Region: no searegion defined
Themes: DS12 Human activities
Keywords: Marine Species, augmented reality simulation, mobile phone application
Last updated: 13/12/2021
A MATLAB toolbox for interacting with bulk freely-available oceanographic data.
ocean_data_tools simplifies the process of extracting, formatting, and visualizing freely-available oceanographic data. While a wealth of oceanographic data is accessible online, some end-users may be dissuaded from utilizing this data due to the overhead associated with obtaining and formatting it into usable data structures. ocean_data_tools solves this problem by allowing the user to transform common oceanographic data sources into uniform structs, call generalized functions on these structs, easily perform custom calculations, and make graphics.
Ferris, L., (2020). ocean_data_tools: A MATLAB toolbox for interacting with bulk freely-available oceanographic data. Journal of Open Source Software, 5(54), 2497, https://doi.org/10.21105/joss.02497
Abstract
A MATLAB toolbox for interacting with bulk freely-available oceanographic data.
ocean_data_tools simplifies the process of extracting, formatting, and visualizing freely-available oceanographic data. While a wealth of oceanographic data is accessible online, some end-users may be dissuaded from utilizing this data due to the overhead associated with obtaining and formatting it into usable data structures. ocean_data_tools solves this problem by allowing the user to transform common oceanographic data sources into uniform structs, call generalized functions on these structs, easily perform custom calculations, and make graphics.
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Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere
Keywords: ice
Last updated: 01/05/2021
Support the ocean with Ocean Alert! Ocean Alert lets anyone contribute sightings of marine animals to a network of resource managers, scientists, and the public. These sightings contribute directly to sustainable ocean use and management for all.
Ocean Alert includes a full map of US National Marine Sanctuaries as well as other Federal and State areas such as Marine Protected Areas, Marine Conservation Reserves, and More - as well as NOAA nautical charts. Click on any area to learn more about allowed and restricted activities.
Features:
Interactive ocean map including NOAA Nautical Charts, US Marine Protected Areas, recent sightings and more Marine Animal sighting survey - report sightings of any type of marine or coastal animal with a simple interface and help protect our oceans
Whale Alert ™ Marine Mammal Survey and Whale Protection Overlays and Sightings
Ocean Alert has an optional "Spotter" effort mode for organization-based custom surveys
Ocean Alert development was funded by BOEM in partnership with NOAA. Whale Alert™ support provided by IFAW. Protected area information provided by a public - private partnership of the NOAA MPA Center and ProtectedSeas.net
Support the ocean with Ocean Alert! Ocean Alert lets anyone contribute sightings of marine animals to a network of resource managers, scientists, and the public. These sightings contribute directly to sustainable ocean use and management for all.
Ocean Alert includes a full map of US National Marine Sanctuaries as well as other Federal and State areas such as Marine Protected Areas, Marine Conservation Reserves, and More - as well as NOAA nautical charts. Click on any area to learn more about allowed and restricted activities.
Features:
Interactive ocean map including NOAA Nautical Charts, US Marine Protected Areas, recent sightings and more Marine Animal sighting survey - report sightings of any type of marine or coastal animal with a simple interface and help protect our oceans
Whale Alert ™ Marine Mammal Survey and Whale Protection Overlays and Sightings
Ocean Alert has an optional "Spotter" effort mode for organization-based custom surveys
Ocean Alert development was funded by BOEM in partnership with NOAA. Whale Alert™ support provided by IFAW. Protected area information provided by a public - private partnership of the NOAA MPA Center and ProtectedSeas.net
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Maps and atlases (geospatial products), Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: Atlantic Ocean, Pacific Ocean
Themes: DS01 Biological oceanography, DS07 Administration and dimensions, DS12 Human activities
Keywords: machine learning, marine mammals, marine protected areas, mobile phone application
Last updated: 12/10/2021
oce Analysis of Oceanographic Data package (ODIS id: 1839)
https://github.com/dankelley/oce
Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with ' ...
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oce Analysis of Oceanographic Data package
Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with 'argo' floats, 'CTD' measurements, sectional data, sea-level time series, coastline and topographic data, etc. Provides specialized functions for calculating seawater properties such as potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state. Produces graphical displays that conform to the conventions of the Oceanographic literature. This package is discussed extensively in Dan Kelley's book Oceanographic Analysis with R, published in 2018 by 'Springer-Verlag' with ISBN 978-1-4939-8842-6.
oce Analysis of Oceanographic Data package (ODIS id 1839)
Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with 'argo' floats, 'CTD' measurements, sectional data, sea-level time series, coastline and topographic data, etc. Provides specialized functions for calculating seawater properties such as potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state. Produces graphical displays that conform to the conventions of the Oceanographic literature. This package is discussed extensively in Dan Kelley's book Oceanographic Analysis with R, published in 2018 by 'Springer-Verlag' with ISBN 978-1-4939-8842-6.
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Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Canada
Host Countries: Canada
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: data processing, oceanography, r-package
Last updated: 15/05/2021
https://github.com/btjones16/ocean
An R package for processing and visualizing oceanographic data. This package contains a set of funct ...
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ocean Biophysical Oceanography Tools package
An R package for processing and visualizing oceanographic data. This package contains a set of functions for manipulating and visualizing output from numerical ocean models. Many of the routines are targeted towards Lagrangian particle-tracking models with the data stored in NetCDF files. This package may be useful to spatial marine ecologists and biological or physical oceanographers.
ocean Biophysical Oceanography Tools package (ODIS id 1838)
An R package for processing and visualizing oceanographic data. This package contains a set of functions for manipulating and visualizing output from numerical ocean models. Many of the routines are targeted towards Lagrangian particle-tracking models with the data stored in NetCDF files. This package may be useful to spatial marine ecologists and biological or physical oceanographers.
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Types
Interaction techs
Contributing data to
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: oceanography, r-package
Last updated: 15/05/2021
Ocean Data Science Software Repositories - NASA's Goddard Space Flight Center (ODIS id: 1866)
Ocean Data Science Software Repositories - NASA's Goddard Space Flight Center
The following Git repository links are for the OceanColor Science Software (OCSSW) maintained by the Ocean Biology Processing Group and distributed to the public with the SeaDAS package.
Ocean Data Science Software Repositories - NASA's Goddard Space Flight Center (ODIS id 1866)
Ocean Data Science Software Repositories - NASA's Goddard Space Flight Center
Original (non-English) name
Acronym
OCSSW - GSFC
Citation
Abstract
The following Git repository links are for the OceanColor Science Software (OCSSW) maintained by the Ocean Biology Processing Group and distributed to the public with the SeaDAS package.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: data analysis, data processing, ocean colour
Last updated: 21/04/2021
Ocean Data View (ODIS id: 341)
https://odv.awi.de
Ocean Data View (ODV) is a software package for the interactive exploration, analysis and visualizat ...
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Ocean Data View
Ocean Data View (ODV) is a software package for the interactive exploration, analysis and visualization of oceanographic and other geo-referenced profile, time-series, trajectory or sequence data. ODV runs on Windows, Mac OS X, Linux, and UNIX (Solaris, Irix, AIX) systems. ODV data and configuration files are platform-independent and can be exchanged between different systems.
Use ODV to produce:
- property/property plots of selected stations,
- scatter plots for sets of stations,
- color sections along arbitrary cruise tracks,
- color distributions on general isosurfaces,
- temporal evolution plots of tracer fields,
- differences of tracer fields between repeats,
- geostrophic velocity sections,
- animations (3MB)
- interrupted maps.
ODV can display original data points or gridded fields based on the original data. ODV has two fast weighted-averaging gridding algorithms as well as the advanced DIVA gridding software built-in. Gridded fields can be color-shaded and/or contoured. ODV supports five different map projections and can be used to produce high-quality cruise maps. ODV graphics output can be sent directly to printers or may be exported to PostScript, gif, png, or jpg files. The resolution of exported graphics files is specified by the user and not limited by the pixel resolution of the screen.
The ODV data format allows dense storage and very fast data access. Large data collections with millions of stations can easily be maintained and explored on inexpensive desktop and notebook computers. Data from Argo, GTSPP, CCHDO, CORA, World Ocean Database, World Ocean Atlas, World Ocean Circulation Experiment (WOCE), SeaDataNet, and Medar/Medatlas can be directly imported into ODV. Ready-to-use versions of the WOCE data, the gridded World Ocean Atlas as well as many other important geoscience datasets are available for download.
ODV also supports the netCDF format and lets you explore and visualize CF, COARDS, GDT and CDC compliant netCDF datasets. This works with netCDF files on your local machine as well as with remote netCDF files served by an OPeNDAP server. Climate data in netCDF format are available here.
The various global or regional high-resolution coastline and topography resources can be installed via the View>Settings option. Packages for special regions of interest can be produced on request.
ODV has more than 70,000 registered users at leading research institutes worldwide. The UNESCO Ocean Teacher project employs ODV as one of its main analysis and display tools. In addition, ODV is used as a visualization tool for the Pangaea information system. Pangaea data sets can be easily converted into ODV collections using the Pan2Applic application.
ODV may be used free of charge for non-commercial, non-military research, and teaching purposes. If used in scientific papers, reports, or posters, ODV must be referenced as follows: Schlitzer, Reiner, Ocean Data View, odv.awi.de, 2020. Usage of ODV for commercial and military purposes requires the purchase of an ODV software license. For more information please see the ODV license document.
Ocean Data View (ODV) is a software package for the interactive exploration, analysis and visualization of oceanographic and other geo-referenced profile, time-series, trajectory or sequence data. ODV runs on Windows, Mac OS X, Linux, and UNIX (Solaris, Irix, AIX) systems. ODV data and configuration files are platform-independent and can be exchanged between different systems.
Use ODV to produce:
- property/property plots of selected stations,
- scatter plots for sets of stations,
- color sections along arbitrary cruise tracks,
- color distributions on general isosurfaces,
- temporal evolution plots of tracer fields,
- differences of tracer fields between repeats,
- geostrophic velocity sections,
- animations (3MB)
- interrupted maps.
ODV can display original data points or gridded fields based on the original data. ODV has two fast weighted-averaging gridding algorithms as well as the advanced DIVA gridding software built-in. Gridded fields can be color-shaded and/or contoured. ODV supports five different map projections and can be used to produce high-quality cruise maps. ODV graphics output can be sent directly to printers or may be exported to PostScript, gif, png, or jpg files. The resolution of exported graphics files is specified by the user and not limited by the pixel resolution of the screen.
The ODV data format allows dense storage and very fast data access. Large data collections with millions of stations can easily be maintained and explored on inexpensive desktop and notebook computers. Data from Argo, GTSPP, CCHDO, CORA, World Ocean Database, World Ocean Atlas, World Ocean Circulation Experiment (WOCE), SeaDataNet, and Medar/Medatlas can be directly imported into ODV. Ready-to-use versions of the WOCE data, the gridded World Ocean Atlas as well as many other important geoscience datasets are available for download.
ODV also supports the netCDF format and lets you explore and visualize CF, COARDS, GDT and CDC compliant netCDF datasets. This works with netCDF files on your local machine as well as with remote netCDF files served by an OPeNDAP server. Climate data in netCDF format are available here.
The various global or regional high-resolution coastline and topography resources can be installed via the View>Settings option. Packages for special regions of interest can be produced on request.
ODV has more than 70,000 registered users at leading research institutes worldwide. The UNESCO Ocean Teacher project employs ODV as one of its main analysis and display tools. In addition, ODV is used as a visualization tool for the Pangaea information system. Pangaea data sets can be easily converted into ODV collections using the Pan2Applic application.
ODV may be used free of charge for non-commercial, non-military research, and teaching purposes. If used in scientific papers, reports, or posters, ODV must be referenced as follows: Schlitzer, Reiner, Ocean Data View, odv.awi.de, 2020. Usage of ODV for commercial and military purposes requires the purchase of an ODV software license. For more information please see the ODV license document.
Types: Education and training materials (related to oceans), Software (ocean related)
Languages: English
Countries: Germany
Host Countries: Germany
Sea Region: no searegion defined
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere
Keywords: ADCP, CTD, Data-Interpolating Variational Analysis (DIVA), ODV software, Static maps, Training and capacity building, Training and education, XBT, analysis and visualization of oceanographic data, color distributions on general isosurfaces, color sections along arbitrary cruise tracks, data quality, e-learning, geostrophic velocity sections, interactive exploration, scatter plots for sets of stations, temporal evolution plots of tracer fields
Last updated: 30/09/2021
Download this free version to see why 'Ocean HD' live wallpaper has made such a big splash, and support us if you wish by unlocking the base version and any optional add-ons that suit your fancy. For a limited time only, get all the features in Ocean HD for half price - the Base Pack is now 50% off!
Dive down and immerse yourself in your own underwater world every time you use your device!
Explore the pristine waters of a deep ocean environment teeming with exotic sea life. Discover a sunken ship, coral reef, and more as sunlight glints off hidden treasure. Schools of fish swim past you while a manta ray glides overhead. Or, dive into shallow seas and drift in azure blue waters - it's all up to you. Watch closely and you may even see a shark in the distance!
Interact with the fish that swim nearby and the hidden treasure. Customize your dive experience with hundreds of combinations - hide the ship, change the treasure to a diving helmet, choose from 'Shallow Seas' or 'Coral Life' themes, and much more!
Optional add-on packs are also available for purchase, allowing you to choose the features most meaningful to you. The 'Shark Pack' features Great White, Tiger, and Hammerhead sharks, new themes, and a shark cage and diver. The 'Friendly Seas Pack' includes a Dolphin, Sea Turtle, interactive Seahorses, new themes and more!
This visually stunning live wallpaper is true 3D with hand-crafted artwork. Our wallpapers feature silky-smooth animations while conserving your battery life and works great with phones, tablets, or any device that supports live wallpapers.
Download this free version to see why 'Ocean HD' live wallpaper has made such a big splash, and support us if you wish by unlocking the base version and any optional add-ons that suit your fancy. For a limited time only, get all the features in Ocean HD for half price - the Base Pack is now 50% off!
Dive down and immerse yourself in your own underwater world every time you use your device!
Explore the pristine waters of a deep ocean environment teeming with exotic sea life. Discover a sunken ship, coral reef, and more as sunlight glints off hidden treasure. Schools of fish swim past you while a manta ray glides overhead. Or, dive into shallow seas and drift in azure blue waters - it's all up to you. Watch closely and you may even see a shark in the distance!
Interact with the fish that swim nearby and the hidden treasure. Customize your dive experience with hundreds of combinations - hide the ship, change the treasure to a diving helmet, choose from 'Shallow Seas' or 'Coral Life' themes, and much more!
Optional add-on packs are also available for purchase, allowing you to choose the features most meaningful to you. The 'Shark Pack' features Great White, Tiger, and Hammerhead sharks, new themes, and a shark cage and diver. The 'Friendly Seas Pack' includes a Dolphin, Sea Turtle, interactive Seahorses, new themes and more!
This visually stunning live wallpaper is true 3D with hand-crafted artwork. Our wallpapers feature silky-smooth animations while conserving your battery life and works great with phones, tablets, or any device that supports live wallpapers.
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please check the record details page
Host institution of the resource
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Countries owning the source
Sea Region
Spatial Coverage
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Themes
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: no searegion defined
Themes: DS12 Human activities
Keywords: oceans
Last updated: 12/12/2021
Oceanics.io is a web application for portable high-performance computing and visualization.
The interface and utilities ingest sensor and model data and metadata, and parse them into discoverable databases. These services usually run in Docker containers configured to receive and route traffic between computing environments and networked devices. Data persist in cloud object storage.
Simulations run in the browser using Web Assembly, client side parallelism, and GPU acceleration. Backend services are provided through our graph-based API for proprietary ocean data.
The runtime supports parallelism, and infrastructure scales to meet high throughput or availability requirements.
Software is maintained by Oceanicsdotio LLC and provided as is with no warranty or guarantee. Our core systems will always be open source, and we welcome collaboration.
Oceanics.io is a web application for portable high-performance computing and visualization.
The interface and utilities ingest sensor and model data and metadata, and parse them into discoverable databases. These services usually run in Docker containers configured to receive and route traffic between computing environments and networked devices. Data persist in cloud object storage.
Simulations run in the browser using Web Assembly, client side parallelism, and GPU acceleration. Backend services are provided through our graph-based API for proprietary ocean data.
The runtime supports parallelism, and infrastructure scales to meet high throughput or availability requirements.
Software is maintained by Oceanicsdotio LLC and provided as is with no warranty or guarantee. Our core systems will always be open source, and we welcome collaboration.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
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Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: oceanography
Last updated: 29/04/2021
Whether it's the tide times for your next trip to the coast, swell data for planning your next fishing excursion, or wind details for your next kitesurf then OceanLife has it all.
With support for more than 8000 ocean buoys, swell forecast, and 16,000+ primary port tide data there is no app quite like this.
OceanLife is backed by state of the art technology meaning we're never offline.
Get data when you need it fast and configure notifications for when conditions are just right so you never miss that perfect day.
Customize your spots with your own names & images and share them with your friends.
OceanLife - Tides Swell Wind Weather Forecasts (ODIS id 3213)
Whether it's the tide times for your next trip to the coast, swell data for planning your next fishing excursion, or wind details for your next kitesurf then OceanLife has it all.
With support for more than 8000 ocean buoys, swell forecast, and 16,000+ primary port tide data there is no app quite like this.
OceanLife is backed by state of the art technology meaning we're never offline.
Get data when you need it fast and configure notifications for when conditions are just right so you never miss that perfect day.
Customize your spots with your own names & images and share them with your friends.
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please check the record details page
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United Kingdom
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere, DS12 Human activities
Keywords: Modelling, Ocean Forecasts, mobile phone application, ocean forecasting, swell
Last updated: 27/04/2022
OCean modeling seTup and ANalysis Tools (ODIS id: 1816)
Ocean C-grid model setup and analysis tools, for the numerical mariner.
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, data analysis, fortran, python
Last updated: 16/05/2021
Oceanographic Datasets in ODV Format (ODIS id: 183)
https://odv.awi.de/data/ocean/
Ocean Data View (ODV) is a software package for the interactive exploration, analysis and visualizat ...
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Oceanographic Datasets in ODV Format
Ocean Data View (ODV) is a software package for the interactive exploration, analysis and visualization of oceanographic and other geo-referenced profiles, time-series, trajectory or sequence data. ODV runs on Windows, Mac OS X, Linux, and UNIX (Solaris, Irix, AIX) systems. ODV data and configuration files are platform-independent and can be exchanged between different systems.
Use ODV to produce:
- property/property plots of selected stations,
- scatter plots for sets of stations,
- color sections along arbitrary cruise tracks,
- color distributions on general isosurfaces,
- temporal evolution plots of tracer fields,
- differences of tracer fields between repeats,
- geostrophic velocity sections,
- animations (3MB),
- interrupted maps.
ODV can display original data points or gridded fields based on the original data. ODV has two fast weighted-averaging gridding algorithms as well as the advanced DIVA gridding software built-in. Gridded fields can be color-shaded and/or contoured. ODV supports five different map projections and can be used to produce high-quality cruise maps. ODV graphics output can be sent directly to printers or may be exported to PostScript, gif, png, or jpg files. The resolution of exported graphics files is specified by the user and not limited by the pixel resolution of the screen.
The ODV data format allows dense storage and very fast data access. Large data collections with millions of stations can easily be maintained and explored on inexpensive desktop and notebook computers. Data from Argo, GTSPP, CCHDO, CORA, World Ocean Database, World Ocean Atlas, World Ocean Circulation Experiment (WOCE), SeaDataNet, and Medar/Medatlas can be directly imported into ODV. Ready-to-use versions of the WOCE data, the gridded World Ocean Atlas as well as many other important geoscience datasets are available for download.
ODV also supports the netCDF format and lets you explore and visualize CF, COARDS, GDT and CDC compliant netCDF datasets. This works with netCDF files on your local machine as well as with remote netCDF files served by an OPeNDAP server. Climate data in netCDF format are available here.
Various global or regional high-resolution coastline and topography resources can be installed via the View>Settings option. Packages for special regions of interest can be produced on request.
ODV has more than 70,000 registered users at leading research institutes worldwide.
Oceanographic Datasets in ODV Format (ODIS id 183)
Ocean Data View (ODV) is a software package for the interactive exploration, analysis and visualization of oceanographic and other geo-referenced profiles, time-series, trajectory or sequence data. ODV runs on Windows, Mac OS X, Linux, and UNIX (Solaris, Irix, AIX) systems. ODV data and configuration files are platform-independent and can be exchanged between different systems.
Use ODV to produce:
- property/property plots of selected stations,
- scatter plots for sets of stations,
- color sections along arbitrary cruise tracks,
- color distributions on general isosurfaces,
- temporal evolution plots of tracer fields,
- differences of tracer fields between repeats,
- geostrophic velocity sections,
- animations (3MB),
- interrupted maps.
ODV can display original data points or gridded fields based on the original data. ODV has two fast weighted-averaging gridding algorithms as well as the advanced DIVA gridding software built-in. Gridded fields can be color-shaded and/or contoured. ODV supports five different map projections and can be used to produce high-quality cruise maps. ODV graphics output can be sent directly to printers or may be exported to PostScript, gif, png, or jpg files. The resolution of exported graphics files is specified by the user and not limited by the pixel resolution of the screen.
The ODV data format allows dense storage and very fast data access. Large data collections with millions of stations can easily be maintained and explored on inexpensive desktop and notebook computers. Data from Argo, GTSPP, CCHDO, CORA, World Ocean Database, World Ocean Atlas, World Ocean Circulation Experiment (WOCE), SeaDataNet, and Medar/Medatlas can be directly imported into ODV. Ready-to-use versions of the WOCE data, the gridded World Ocean Atlas as well as many other important geoscience datasets are available for download.
ODV also supports the netCDF format and lets you explore and visualize CF, COARDS, GDT and CDC compliant netCDF datasets. This works with netCDF files on your local machine as well as with remote netCDF files served by an OPeNDAP server. Climate data in netCDF format are available here.
Various global or regional high-resolution coastline and topography resources can be installed via the View>Settings option. Packages for special regions of interest can be produced on request.
ODV has more than 70,000 registered users at leading research institutes worldwide.
Types: Data systems/portals (allowing downloading of data sets), Software (ocean related)
Languages: English
Countries: United States
Host Countries: Germany, United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: CTD, Geospatial data, Marine, alkalinity, chemistry, climatology, dissolved oxygen, historical datasets, ocean carbon, ocean circulation, salinity
Last updated: 29/11/2021
✴This app is the best resource for your Oceanography Study.✴
【Topics Covered Based On Below Concepts】
*Introduction To Oceanography
*What will we learn here?
*Convection
*The Water Cycle
*The Nutrient Cycle
The place of physical oceanography in science; tools and prerequisites: projections, ocean topography
*Tools and prerequisites for physical oceanography
*Topographic features of the oceans
*Objects of study in Physical Oceanography
*Properties of seawater
*The Global Oceanic Heat Budget
*Heat Budget Outputs
*Distribution of temperature and salinity with depth; the density stratification
*Acoustic Properties
*Nutrients, oxygen and growth-limiting trace metals in the ocean
*Aspects of Geophysical Fluid Dynamics
*Inertial motion
*The Ekman Layer
*Thermohaline processes; water mass formation; the seasonal thermocline
*Circulation in Mediterranean Seas
*Waves
*Waves of finite amplitude
*Long Waves (shallow water waves )
*Internal Waves
*Tides
*Shape of the Tidal Wave
*Estuaries
*Oceanographic instrumentation
*Moorings
*Towed vehicles
*Measurements of hydrographic properties
*Wave measurements
✴This app is the best resource for your Oceanography Study.✴
【Topics Covered Based On Below Concepts】
*Introduction To Oceanography
*What will we learn here?
*Convection
*The Water Cycle
*The Nutrient Cycle
The place of physical oceanography in science; tools and prerequisites: projections, ocean topography
*Tools and prerequisites for physical oceanography
*Topographic features of the oceans
*Objects of study in Physical Oceanography
*Properties of seawater
*The Global Oceanic Heat Budget
*Heat Budget Outputs
*Distribution of temperature and salinity with depth; the density stratification
*Acoustic Properties
*Nutrients, oxygen and growth-limiting trace metals in the ocean
*Aspects of Geophysical Fluid Dynamics
*Inertial motion
*The Ekman Layer
*Thermohaline processes; water mass formation; the seasonal thermocline
*Circulation in Mediterranean Seas
*Waves
*Waves of finite amplitude
*Long Waves (shallow water waves )
*Internal Waves
*Tides
*Shape of the Tidal Wave
*Estuaries
*Oceanographic instrumentation
*Moorings
*Towed vehicles
*Measurements of hydrographic properties
*Wave measurements
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Education and training materials (related to oceans), Software (ocean related)
Languages: English
Countries: India
Host Countries: India
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology
Keywords: education, mobile phone application, oceanography
Last updated: 23/12/2021
Oceanography contains peer-reviewed articles that chronicle all aspects of ocean science and its applications. The magazine presents significant research, noteworthy achievements, exciting new technologies, and articles that address public policy and education and how they are affected by ocean science and technology.
Oceanography is the official magazine of The Oceanography Society. It is published in print and online in March, June, September, and December.
Oceanography App - Advanced Publishing Corporation (ODIS id 3161)
Oceanography contains peer-reviewed articles that chronicle all aspects of ocean science and its applications. The magazine presents significant research, noteworthy achievements, exciting new technologies, and articles that address public policy and education and how they are affected by ocean science and technology.
Oceanography is the official magazine of The Oceanography Society. It is published in print and online in March, June, September, and December.
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Types
Interaction techs
Contributing data to
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Types: Journals (open source and commercial), Software (ocean related)
Languages: English
Countries: Canada
Host Countries: Canada
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, no theme defined
Keywords: mobile phone application, ocean sciences, scientific articles
Last updated: 23/12/2021
The application contains a description of Oceanography.
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Types: Software (ocean related)
Languages: English
Countries: Russia
Host Countries: Russia
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: mobile phone application, oceanography
Last updated: 23/12/2021
Crossword is word puzzle game that has enchanted everyone in ancient and modern times. In this modern world you hardly have any time to stick to your interests and one of them is knowing about your favorite niche: Oceanography. The Great Marine Life! With detailed facts and images, this brilliant Oceanography learning game helps you to identify thousands of marine species (plants, animals and other organisms) that dwell in the cavernous parts of the ocean. Play to gain in-depth information of aquatic species including shape, special features, phyla etc. Students and educators interested in Oceanography must download this game now. Play a real fun game with Oceanography Crossword Puzzle and add-on to your interest and knowledge.
If your morning starts with a cup of coffee and indulging yourself in Crossword Puzzle, this is just the right app for you. It will add on to Oceanography list with every passing level. Add the Oceanography names horizontally or vertically with the help of hints. Attempt Trivia to boost the score and learn more and more Oceanography names plus related facts like category etc.
Oceanography Crossword Puzzle - Edutainment Ventures (ODIS id 3174)
Crossword is word puzzle game that has enchanted everyone in ancient and modern times. In this modern world you hardly have any time to stick to your interests and one of them is knowing about your favorite niche: Oceanography. The Great Marine Life! With detailed facts and images, this brilliant Oceanography learning game helps you to identify thousands of marine species (plants, animals and other organisms) that dwell in the cavernous parts of the ocean. Play to gain in-depth information of aquatic species including shape, special features, phyla etc. Students and educators interested in Oceanography must download this game now. Play a real fun game with Oceanography Crossword Puzzle and add-on to your interest and knowledge.
If your morning starts with a cup of coffee and indulging yourself in Crossword Puzzle, this is just the right app for you. It will add on to Oceanography list with every passing level. Add the Oceanography names horizontally or vertically with the help of hints. Attempt Trivia to boost the score and learn more and more Oceanography names plus related facts like category etc.
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline, DS12 Human activities
Keywords: education, mobile phone application, oceanography
Last updated: 13/12/2021
Oceanography Dictionary : Oceanology Study Offline - Edutainment Ventures
Oceanography Dictionary- Terms & Definitions App is here to support you in understanding the physical and biological diversity of sea. With more than 4000 terms and their meanings, this Oceanology Study App is as deep as an ocean. A Timeline of Oceanography feature will let you know about the developments in the field of Oceanography since the beginning of the time. Not only this, Diving History feature will give you detailed description historical of Scuba Diving suits with their inventors. For quick learning, this app is full of numerous quizzes to brush up your knowledge and challenge your learning.
Oceanography Dictionary is divided into following categories:-
Physical Oceanography
Geological Oceanography
Coastal Oceanography
Meteorology
Biological Oceanography
Climatology
Ocean Currents
Oceanographic Institutions and Center
Chemical Oceanography
Glaciology
Main Features of this Oceanology Study App are:-
Timeline of Oceanography - With the information in the form of cards, this feature will introduce you to the history of oceanography.
Diving History - An unique collection of Scuba Diving suits images from history and their description.
Quiz - A basic quiz which is less of test and more of fun.
EduBank℠ - Save most frequent terms you need.
Contribute - If you think something is missing, contribute it!
Autoplay - Listen to all the terms and its meaning.
Oceanography is all about ocean science and how it changes and impacts the whole biological system. Study the life of Oceans and life within the ocean, biology and physical nature of oceans with this Oceanography Dictionary App. Install now and explore a world within!
We make SMARTY apps, “Simple Masterly Approach to Refine Thinking" for YOU.
Oceanography Dictionary : Oceanology Study Offline - Edutainment Ventures (ODIS id 3164)
Oceanography Dictionary : Oceanology Study Offline - Edutainment Ventures
Original (non-English) name
Acronym
Citation
Abstract
Oceanography Dictionary- Terms & Definitions App is here to support you in understanding the physical and biological diversity of sea. With more than 4000 terms and their meanings, this Oceanology Study App is as deep as an ocean. A Timeline of Oceanography feature will let you know about the developments in the field of Oceanography since the beginning of the time. Not only this, Diving History feature will give you detailed description historical of Scuba Diving suits with their inventors. For quick learning, this app is full of numerous quizzes to brush up your knowledge and challenge your learning.
Oceanography Dictionary is divided into following categories:-
Physical Oceanography
Geological Oceanography
Coastal Oceanography
Meteorology
Biological Oceanography
Climatology
Ocean Currents
Oceanographic Institutions and Center
Chemical Oceanography
Glaciology
Main Features of this Oceanology Study App are:-
Timeline of Oceanography - With the information in the form of cards, this feature will introduce you to the history of oceanography.
Diving History - An unique collection of Scuba Diving suits images from history and their description.
Quiz - A basic quiz which is less of test and more of fun.
EduBank℠ - Save most frequent terms you need.
Contribute - If you think something is missing, contribute it!
Autoplay - Listen to all the terms and its meaning.
Oceanography is all about ocean science and how it changes and impacts the whole biological system. Study the life of Oceans and life within the ocean, biology and physical nature of oceans with this Oceanography Dictionary App. Install now and explore a world within!
We make SMARTY apps, “Simple Masterly Approach to Refine Thinking" for YOU.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS05 Atmosphere, DS06 Cross-discipline, DS10 Environment
Keywords: biodiversity, climatology, dictionary, meteorology, mobile phone application, oceanography, oceans, terms and definitions
Last updated: 23/12/2021
A general introduction to Python as a tool for data analysis in oceanography.
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Types: Education and training materials (related to oceans), Software (ocean related)
Languages: English
Countries: India
Host Countries: India
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: data analysis, oceanography, python
Last updated: 02/05/2021
The Ocean Purpose Project app immerses you into a blue ocean of solutions and possibilities in ocean conservation and prevention of water pollution.
Be inspired by our Ocean Solutioneers who use behaviour change, plastic to fuel and bioplastics based on marine research and pilot projects to drive mass scale change with small projects. Uncover insights into new ideas, research and get involved with ocean conservation and prevention of water pollution projects in Singapore, Asia and around the globe.
The Ocean Purpose Project app immerses you into a blue ocean of solutions and possibilities in ocean conservation and prevention of water pollution.
Be inspired by our Ocean Solutioneers who use behaviour change, plastic to fuel and bioplastics based on marine research and pilot projects to drive mass scale change with small projects. Uncover insights into new ideas, research and get involved with ocean conservation and prevention of water pollution projects in Singapore, Asia and around the globe.
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Types: Software (ocean related)
Languages: English
Countries: Singapore
Host Countries: Singapore
Sea Region: World
Themes: DS10 Environment, DS12 Human activities
Keywords: conservation, mobile phone application, oceans, water pollution
Last updated: 12/12/2021
OceanSpy is an open-source and user-friendly Python package that enables scientists and interested amateurs to analyze and visualize ocean model datasets. OceanSpy builds on software packages developed by the Pangeo community, in particular xarray, dask, and xgcm. The integration of dask facilitates scalability, which is important for the petabyte-scale simulations that are becoming available.
Simulations of ocean currents using numerical circulation models are becoming increasingly realistic. At the same time, these models generate increasingly large volumes of model output data, making the analysis of model data harder. Using OceanSpy, model data can be easily analyzed in the way observational oceanographers analyze field measurements.
OceanSpy can be used as a standalone package for analysis of local circulation model output, or it can be run on a remote data-analysis cluster, such as the Johns Hopkins University SciServer system, which hosts several simulations and is publicly available.
Almansi, M., R. Gelderloos, T. W. N. Haine, A. Saberi, and A. H. Siddiqui (2019). OceanSpy: A Python package to facilitate ocean model data analysis and visualization. Journal of Open Source Software, 4(39), 1506, doi: https://doi.org/10.21105/joss.01506
Abstract
OceanSpy is an open-source and user-friendly Python package that enables scientists and interested amateurs to analyze and visualize ocean model datasets. OceanSpy builds on software packages developed by the Pangeo community, in particular xarray, dask, and xgcm. The integration of dask facilitates scalability, which is important for the petabyte-scale simulations that are becoming available.
Simulations of ocean currents using numerical circulation models are becoming increasingly realistic. At the same time, these models generate increasingly large volumes of model output data, making the analysis of model data harder. Using OceanSpy, model data can be easily analyzed in the way observational oceanographers analyze field measurements.
OceanSpy can be used as a standalone package for analysis of local circulation model output, or it can be run on a remote data-analysis cluster, such as the Johns Hopkins University SciServer system, which hosts several simulations and is publicly available.
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Types: Software (ocean related)
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: oceanography, oceans, python
Last updated: 30/04/2021
Julia tools for working with some Oceanographical Data.
This package was previously known as CopernicusUtils.jl. Utilities for working with oceanographic datasets from the Copernicus product family. This package can be used (amongst other things) to generate large test cases for use with CoherentStructures.jl.
Ability to load velocity fields of arbitrary space-time cubes from Copernicus CMEMS data files.
Fast, allocation free interpolation on regular grids supporting periodic boundaries.
Julia tools for working with some Oceanographical Data.
This package was previously known as CopernicusUtils.jl. Utilities for working with oceanographic datasets from the Copernicus product family. This package can be used (amongst other things) to generate large test cases for use with CoherentStructures.jl.
Ability to load velocity fields of arbitrary space-time cubes from Copernicus CMEMS data files.
Fast, allocation free interpolation on regular grids supporting periodic boundaries.
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Types: Software (ocean related)
Languages: English
Countries: Germany
Host Countries: Germany
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere
Keywords: Copernicus Marine Environment Monitoring Service, Julia, oceanography
Last updated: 02/05/2021
OGC Services - International Council for the Exploration of the Sea
The Services Directory allows you to browse the contents of an ArcGIS Server and obtain information that can be useful when developing applications. The Services Directory is a view of the ArcGIS Server REST API in HTML format.
OGC Services - International Council for the Exploration of the Sea (ODIS id 177)
OGC Services - International Council for the Exploration of the Sea
Original (non-English) name
Acronym
OGC Services - ICES
Citation
Abstract
The Services Directory allows you to browse the contents of an ArcGIS Server and obtain information that can be useful when developing applications. The Services Directory is a view of the ArcGIS Server REST API in HTML format.
Co-locate oceanographic data by establishing constraints Easy access to oceanographic data co-located in space and time via Python
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS05 Atmosphere
Keywords: data access, oceanography, python
Last updated: 02/05/2021
Backend visualization services for the Oceanographic In-situ Data Interoperability Project (OIIP).
OIIP Services provides the back-end infrastructure services for the Oceanographic In-situ Data Interoperability Project (OIIP). It comprises of GeoServer and Solr.
Backend visualization services for the Oceanographic In-situ Data Interoperability Project (OIIP).
OIIP Services provides the back-end infrastructure services for the Oceanographic In-situ Data Interoperability Project (OIIP). It comprises of GeoServer and Solr.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: data visualization, oceanography
Last updated: 04/07/2021
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, data analysis, fortran, oceans, python
Last updated: 16/05/2021
OPEN ARTFISH stands for Open Approaches, Rules and Techniques for Fisheries statistical monitoring. It consists of the OPEN ARTFISH software application and its backbone OPEN ARTFISH database. The software application is built to estimate the total catch and value by species for sampling schemes of small-scale fisheries. Other major outputs of the OPEN ARTFISH are guidelines, manuals, training course and material.
There are several existing methods of statistical fisheries data collection. However, because fisheries are dominated by large and dispersed small-scale fleet, data have to be collected through sample-based surveys. Estimates of annual catches therefore depend heavily on samples of catches and fishing effort from fish landings. However, any sampling design must be achieved at the lowest possible cost; this means that any sampling scheme must be designed to minimize sampling error for a given cost. For this purpose, OPEN ARTFISH was designed as a standardized tool that can be customized to fisheries in developing countries to deliver a cost-effective and sustainable routine for collection, storage and analysis of data. It is based on the appropriate statistical procedures and sampling design, as described thoroughly by Stamatopoulos (2002) and de Graaf et al. (2014).
OPEN ARTFISH replaces ARTFISH, which FAO made available in 1993. The old version of ARTFISH is not compatible with Windows 7 or higher version. OPEN ARTFISH is "Open" because it can be easily adapted to local requirements and more specific outputs/reports can easily be added while maintaining the appropriate statistical procedures.
OPEN ARTFISH stands for Open Approaches, Rules and Techniques for Fisheries statistical monitoring. It consists of the OPEN ARTFISH software application and its backbone OPEN ARTFISH database. The software application is built to estimate the total catch and value by species for sampling schemes of small-scale fisheries. Other major outputs of the OPEN ARTFISH are guidelines, manuals, training course and material.
There are several existing methods of statistical fisheries data collection. However, because fisheries are dominated by large and dispersed small-scale fleet, data have to be collected through sample-based surveys. Estimates of annual catches therefore depend heavily on samples of catches and fishing effort from fish landings. However, any sampling design must be achieved at the lowest possible cost; this means that any sampling scheme must be designed to minimize sampling error for a given cost. For this purpose, OPEN ARTFISH was designed as a standardized tool that can be customized to fisheries in developing countries to deliver a cost-effective and sustainable routine for collection, storage and analysis of data. It is based on the appropriate statistical procedures and sampling design, as described thoroughly by Stamatopoulos (2002) and de Graaf et al. (2014).
OPEN ARTFISH replaces ARTFISH, which FAO made available in 1993. The old version of ARTFISH is not compatible with Windows 7 or higher version. OPEN ARTFISH is "Open" because it can be easily adapted to local requirements and more specific outputs/reports can easily be added while maintaining the appropriate statistical procedures.
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: Fisheries statistical monitoring, fisheries, fisheries statistics, mobile phone application
Last updated: 09/10/2021
TU Delft, Deltares and Van Oord have combined their knowledge about logistics, water movement and hydraulic engineering projects in the open source package OpenCLSim. In recent years they have worked closely together on this solution as part of DigiShape. The result is a robust and generically applicable simulation package that can simulate the behavior of complex water logistics in relation to currents and waves.
TU Delft, Deltares and Van Oord have combined their knowledge about logistics, water movement and hydraulic engineering projects in the open source package OpenCLSim. In recent years they have worked closely together on this solution as part of DigiShape. The result is a robust and generically applicable simulation package that can simulate the behavior of complex water logistics in relation to currents and waves.
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Types: Software (ocean related)
Languages: Dutch
Countries: Netherlands
Host Countries: Netherlands
Sea Region: no searegion defined
Themes: DS06 Cross-discipline
Keywords: Hydrodynamic modelling, interactive visualisations, tool description, transport
Last updated: 25/01/2022
AEMET OpenData is an API REST (Application Programming Interface. REpresentational State Transfer) through which can be downloaded free data listed in Annex II of the resolution of 30 December 2015 of AEMET, in which the public prices that will govern the provision of meteorological and climatological services are established. This resolution has been published in the BOE (Official State Gazette) no. 4, on 5 January 2016.
AEMET OpenData allows two types of access:
General access and AEMET OpenData API. Both of them provide access to the same data catalogue and they offer downloading data in reusable formats.
General access:
This is a chart access for the general public. It aims to enable user to get access to data in a user-friendly way. Interaction with data is punctual, it's made through a human user-friendly interface, directed step by step and by choosing options.
AEMET OpenData API:
AEMET OpenData API allows other interaction way with the data: this interaction can be periodic or programmed, from any programming language, without user-friendly interfaces, with self-discovery option. This make possible that AEMET data can be included by re-users of information in their own information systems.
OpenData - Spanish Meteorological Agency (ODIS id 2241)
AEMET OpenData is an API REST (Application Programming Interface. REpresentational State Transfer) through which can be downloaded free data listed in Annex II of the resolution of 30 December 2015 of AEMET, in which the public prices that will govern the provision of meteorological and climatological services are established. This resolution has been published in the BOE (Official State Gazette) no. 4, on 5 January 2016.
AEMET OpenData allows two types of access:
General access and AEMET OpenData API. Both of them provide access to the same data catalogue and they offer downloading data in reusable formats.
General access:
This is a chart access for the general public. It aims to enable user to get access to data in a user-friendly way. Interaction with data is punctual, it's made through a human user-friendly interface, directed step by step and by choosing options.
AEMET OpenData API:
AEMET OpenData API allows other interaction way with the data: this interaction can be periodic or programmed, from any programming language, without user-friendly interfaces, with self-discovery option. This make possible that AEMET data can be included by re-users of information in their own information systems.
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Types: Data systems/portals (allowing downloading of data sets), Software (ocean related)
Languages: Spanish
Countries: Spain
Host Countries: Spain
Sea Region: Caernarfon Bay
Themes: DS05 Atmosphere, DS10 Environment
Keywords: meteorological data, meteorological services, meteorology, open access, open data, operational service
Last updated: 04/09/2021
Operational Oceanography Species Management App (ODIS id: 3166)
CFOO is a regional, multi-institutional, Centre of Excellence in observational and operational oceanography, associated applied research and species management programs.
Based in South Africa, CFOO was established with the intent on developing in-situ monitoring, observational and operational oceanography in conjunction with marine species management, particularly Endangered species. In achieving this, CFOO will incorporate training, education, human capacity development, scientific research, R & D, engineering and renewable energy applications. Accessibility using modern techniques is key to the effective use of the resources available, particularly the live data. This will include ‘in-field’ data entry via mobile or tablet for tracking animals and assist environmental law enforcement.
Operational Oceanography Species Management App (ODIS id 3166)
CFOO is a regional, multi-institutional, Centre of Excellence in observational and operational oceanography, associated applied research and species management programs.
Based in South Africa, CFOO was established with the intent on developing in-situ monitoring, observational and operational oceanography in conjunction with marine species management, particularly Endangered species. In achieving this, CFOO will incorporate training, education, human capacity development, scientific research, R & D, engineering and renewable energy applications. Accessibility using modern techniques is key to the effective use of the resources available, particularly the live data. This will include ‘in-field’ data entry via mobile or tablet for tracking animals and assist environmental law enforcement.
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Types: Education and training materials (related to oceans), Software (ocean related)
Languages: English
Countries: South Africa
Host Countries: South Africa
Sea Region: no searegion defined
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology
Keywords: Marine Species, Monitoring, Training and education, mobile phone application, observational oceanography, observations, operational oceanography
Last updated: 23/12/2021
PANGAEA Data Publisher for Earth and Environmental Sciences (ODIS id: 222)
https://www.pangaea.de
The data publisher PANGAEA is operated as an Open Access library aimed at archiving, publishing and ...
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PANGAEA Data Publisher for Earth and Environmental Sciences
The data publisher PANGAEA is operated as an Open Access library aimed at archiving, publishing and distributing georeferenced data from earth system and biodiversity research. The Core Trust Seal certified information system guarantees long-term availability of its content through a commitment of the two hosting institutions, the Alfred Wegener Institute Helmholtz Center for Polar and Marine Sciences (AWI), Bremerhaven and the Center for Marine and Environmental Sciences (MARUM), Bremen.
Most of the data are freely available and can be used under the terms of the license mentioned on the data set description. A few password protected data sets are under moratorium from ongoing projects. The description of each data set is always visible and includes the principle investigator (PI) who may be asked for access.
Each dataset can be identified, shared, published and cited by using a Digital Object Identifier (DOI Name). PANGAEA also allows data to be published as supplements to science articles or as citable data collections in combination with data journals like ESSD, Geoscience Data Journal, Scientific Data, or others.
PANGAEA Data Publisher for Earth and Environmental Sciences (ODIS id 222)
The data publisher PANGAEA is operated as an Open Access library aimed at archiving, publishing and distributing georeferenced data from earth system and biodiversity research. The Core Trust Seal certified information system guarantees long-term availability of its content through a commitment of the two hosting institutions, the Alfred Wegener Institute Helmholtz Center for Polar and Marine Sciences (AWI), Bremerhaven and the Center for Marine and Environmental Sciences (MARUM), Bremen.
Most of the data are freely available and can be used under the terms of the license mentioned on the data set description. A few password protected data sets are under moratorium from ongoing projects. The description of each data set is always visible and includes the principle investigator (PI) who may be asked for access.
Each dataset can be identified, shared, published and cited by using a Digital Object Identifier (DOI Name). PANGAEA also allows data to be published as supplements to science articles or as citable data collections in combination with data journals like ESSD, Geoscience Data Journal, Scientific Data, or others.
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Types: Information on experts and organizations, Journals (open source and commercial), Manuals, guidelines, standards and best practices, Software (ocean related)
Languages: English
Countries: Germany
Host Countries: Germany
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS05 Atmosphere, DS06 Cross-discipline, DS07 Administration and dimensions, DS08 Terrestrial, DS09 Cryosphere, DS10 Environment, DS11 Fisheries and aquaculture, DS12 Human activities
Keywords: Agriculture, DOI, Digital repository, atmosphere, biology, chemistry, ecology, fisheries, lakes and rivers, oceanographic data
Last updated: 13/08/2024
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: NetCDF, data visualization
Last updated: 26/04/2021
Parcels Probably A Really Computationally Efficient Lagrangian Simulator
The OceanParcels project develops Parcels (Probably A Really Computationally Efficient Lagrangian Simulator), a set of Python classes and methods to create customisable particle tracking simulations using output from Ocean Circulation models. Parcels can be used to track passive and active particulates such as water, plankton, plastic and fish.
The code from the OceanParcels project is licensed under an open source MIT license and can be downloaded from github.com/OceanParcels/parcels or installed via anaconda.org/conda-forge/parcels
Parcels Probably A Really Computationally Efficient Lagrangian Simulator (ODIS id 1794)
Parcels Probably A Really Computationally Efficient Lagrangian Simulator
Original (non-English) name
Acronym
Citation
The manuscript detailing the first release of Parcels, version 0.9, has been published in Geoscientific Model Development and can be cited as
Lange, M. and E van Sebille (2017) Parcels v0.9: prototyping a Lagrangian Ocean Analysis framework for the petascale age. Geoscientific Model Development, 10, 4175-4186. https://doi.org/10.5194/gmd-2017-167
The manuscript detailing version 2.0 of Parcels is available at Geoscientific Model Development and can be cited as:
Delandmeter P. and E van Sebille (2019) The Parcels v2.0 Lagrangian framework: new field interpolation schemes. Geoscientific Model Development, 12, 3571-3584. https://doi.org/10.5194/gmd-12-3571-2019
Abstract
The OceanParcels project develops Parcels (Probably A Really Computationally Efficient Lagrangian Simulator), a set of Python classes and methods to create customisable particle tracking simulations using output from Ocean Circulation models. Parcels can be used to track passive and active particulates such as water, plankton, plastic and fish.
The code from the OceanParcels project is licensed under an open source MIT license and can be downloaded from github.com/OceanParcels/parcels or installed via anaconda.org/conda-forge/parcels
A python framework for working with met-ocean data.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: meteorology, oceanography, oceans, publishing services
Last updated: 16/05/2021
Popcycle is an R package that offers a reproducible approach to process, calibrate and curate flow cytometry data collected by SeaFlow.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: Phytoplankton, flow cytometry, oceanography, r-package, workflow
Last updated: 30/04/2021
PredictWind's proprietary PWG and PWE marine weather forecast models along with the ECWMF and GFS models provide the most accurate forecasts available at the highest resolution.
Easily navigate between wind, swell, rain, cloud, air and sea temperature forecasts in table, map and graph views.
PredictWind's powerful Weather Routing, Departure Planner, Forecast Alerts are all powered by these world leading marine forecasts.
View live weather observations from over 20,000 live stations across the globe.
PredictWind's proprietary PWG and PWE marine weather forecast models along with the ECWMF and GFS models provide the most accurate forecasts available at the highest resolution.
Easily navigate between wind, swell, rain, cloud, air and sea temperature forecasts in table, map and graph views.
PredictWind's powerful Weather Routing, Departure Planner, Forecast Alerts are all powered by these world leading marine forecasts.
View live weather observations from over 20,000 live stations across the globe.
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: New Zealand
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere, no theme defined
Keywords: clouds, mobile phone application, rain, swell, weather foreast, wind
Last updated: 02/12/2021
Welcome to The Princeton Ocean Model (POM), a simple-to-run yet powerful ocean modeling code to simulate a wide-range of problems, from small-scale coastal processes to global ocean climate change. POM is a sigma coordinate (terrain-following), free surface ocean model with embedded turbulence and wave sub-models, and wet-dry capability. POM has been a pioneering force in ocean research since the early 1980s, and continues with innovative new developments by its thousands of users worldwide until today.
Welcome to The Princeton Ocean Model (POM), a simple-to-run yet powerful ocean modeling code to simulate a wide-range of problems, from small-scale coastal processes to global ocean climate change. POM is a sigma coordinate (terrain-following), free surface ocean model with embedded turbulence and wave sub-models, and wet-dry capability. POM has been a pioneering force in ocean research since the early 1980s, and continues with innovative new developments by its thousands of users worldwide until today.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, ocean climate
Last updated: 02/05/2021
Products Explorer - NOAA National Centers for Coastal Ocean Science (ODIS id: 2791)
Products Explorer - NOAA National Centers for Coastal Ocean Science
The National Oceanic and Atmospheric Administration (NOAA) formed the National Centers for Coastal Ocean Science (NCCOS) in 1999 as the focal point for NOAA’s coastal ocean science efforts. We help NOAA meet its coastal stewardship and management responsibilities, and we provide coastal managers with the scientific information necessary to decide how best to protect environmental resources and public health, preserve valued habitats, and improve the way communities interact with coastal ecosystems.
NCCOS provides research, scientific information and tools to help balance the nation's ecological, social and economic goals. Explore products by filtering category, region or product type.
Products Explorer - NOAA National Centers for Coastal Ocean Science (ODIS id 2791)
Products Explorer - NOAA National Centers for Coastal Ocean Science
Original (non-English) name
Acronym
Products Explorer - NOAA-NCCOS
Citation
Abstract
The National Oceanic and Atmospheric Administration (NOAA) formed the National Centers for Coastal Ocean Science (NCCOS) in 1999 as the focal point for NOAA’s coastal ocean science efforts. We help NOAA meet its coastal stewardship and management responsibilities, and we provide coastal managers with the scientific information necessary to decide how best to protect environmental resources and public health, preserve valued habitats, and improve the way communities interact with coastal ecosystems.
NCCOS provides research, scientific information and tools to help balance the nation's ecological, social and economic goals. Explore products by filtering category, region or product type.
The PAIM Virtual Research Environment (VRE) provides the user with tools to visualize, analyze and report on a range of ecologically important seafloor features within marine protected areas - a key component of Maritime Spatial Planning (MSP). The interface is built around an interactive map viewer that provides visualization of a range of seafloor features. The interface utilizes cloud computing to analyze the representation of seafloor features within marine protected areas for a selected exclusive economic zone or marine ecoregion. Finally, the interface presents the results of this analysis in an interactive report, with options to download the report or the results of the analysis. The interface will assist users in understanding which seafloor features occur in an area and how these are currently represented in marine protected areas. This information can be used to prioritize future planning of protected areas to include seafloor features that are poorly represented.
Protected Areas Impact Maps - iMarine (ODIS id 1068)
The PAIM Virtual Research Environment (VRE) provides the user with tools to visualize, analyze and report on a range of ecologically important seafloor features within marine protected areas - a key component of Maritime Spatial Planning (MSP). The interface is built around an interactive map viewer that provides visualization of a range of seafloor features. The interface utilizes cloud computing to analyze the representation of seafloor features within marine protected areas for a selected exclusive economic zone or marine ecoregion. Finally, the interface presents the results of this analysis in an interactive report, with options to download the report or the results of the analysis. The interface will assist users in understanding which seafloor features occur in an area and how these are currently represented in marine protected areas. This information can be used to prioritize future planning of protected areas to include seafloor features that are poorly represented.
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iMarine.D4Science
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Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets), Maps and atlases (geospatial products), Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: no searegion defined
Themes: DS04 Marine geology, DS10 Environment
Keywords: Marine, Virtual Research Environment, environment, geology, geomorphic features, mangrove, marine ecoregions, marine spatial planning, maritime, oceans, sea grass, seafloor features
Last updated: 04/07/2021
Proudman Oceanographic Laboratory Coastal Ocean Modelling System (ODIS id: 1832)
Proudman Oceanographic Laboratory Coastal Ocean Modelling System
The origins of POLCOMS lie with studies of frontal dynamics in the North Sea for the UK Natural Environment Research Council (NERC) North Sea Project. Since then it has been extensively developed both as a hydrodynamic and a multi-disciplinary model, including use of its sediment transport module, coupling to the European Regional Seas Ecosystem model (ERSEM) and the Los Alamos Climate Ocean and Sea Ice (CICE) model. It has been coupled to the General Ocean Turbulence Model (GOTM) to allow a range of improved turbulence models.
It has been used extensively in POL's (since April 2010, part of the UK National Oceanography Centre (NOC)) and Plymouth Marine Laboratory's (PML) core research programmes, and in on-going research contracts with the UK Meteorological Office and a wide range of NERC and European Union (EU) funded research projects and programmes. These include the EU 'Marine Environment and Security for the European Area' (MERSEA) project, the NERC 'Centre for Air-Sea Interactions and Fluxes' (CASIX) programme, 'Marine Productivity' (MARPROD), the 'Land-Ocean Interaction Study' (LOIS), the NERC 'Rapid Climate Change programme' (RAPID) and the EU Framework 5 project 'Optimal Design of Observational Networks' (ODON). It was used as the 'work-horse' shelf sea model for the UK marine research centre programme 'Oceans 2025', and also by the National Centre for Ocean Forecasting (NCOF).
POLCOMS is a three-dimensional baroclinic Arakawa B-grid model designed for the study of shelf sea processes and ocean-shelf interaction. It can also be used in estuarine environments. The model solves the momentum and scalar transport equations for oceanographic applications with realistic topography, bathymetry and forcing. The underlying hydrodynamics in POLCOMS are the shallow water equations with the hydrostatic and Boussinesq approximations. This limits model applicability to flows where the vertical acceleration is small and in practice this imposes a minimum horizontal resolution; simulation can be made at resolutions finer than this but at no benefit to the solution. As a rough guide this can be taken as half the maximum water depth.
POLCOMS can be coupled to a range of different modelling systems: notably ERSEM, GOTM and CICE as mentioned above, and the 3rd generation WAve Model (WAM).
Proudman Oceanographic Laboratory Coastal Ocean Modelling System (ODIS id 1832)
Proudman Oceanographic Laboratory Coastal Ocean Modelling System
Original (non-English) name
Acronym
POLCOMS
Citation
Abstract
The origins of POLCOMS lie with studies of frontal dynamics in the North Sea for the UK Natural Environment Research Council (NERC) North Sea Project. Since then it has been extensively developed both as a hydrodynamic and a multi-disciplinary model, including use of its sediment transport module, coupling to the European Regional Seas Ecosystem model (ERSEM) and the Los Alamos Climate Ocean and Sea Ice (CICE) model. It has been coupled to the General Ocean Turbulence Model (GOTM) to allow a range of improved turbulence models.
It has been used extensively in POL's (since April 2010, part of the UK National Oceanography Centre (NOC)) and Plymouth Marine Laboratory's (PML) core research programmes, and in on-going research contracts with the UK Meteorological Office and a wide range of NERC and European Union (EU) funded research projects and programmes. These include the EU 'Marine Environment and Security for the European Area' (MERSEA) project, the NERC 'Centre for Air-Sea Interactions and Fluxes' (CASIX) programme, 'Marine Productivity' (MARPROD), the 'Land-Ocean Interaction Study' (LOIS), the NERC 'Rapid Climate Change programme' (RAPID) and the EU Framework 5 project 'Optimal Design of Observational Networks' (ODON). It was used as the 'work-horse' shelf sea model for the UK marine research centre programme 'Oceans 2025', and also by the National Centre for Ocean Forecasting (NCOF).
POLCOMS is a three-dimensional baroclinic Arakawa B-grid model designed for the study of shelf sea processes and ocean-shelf interaction. It can also be used in estuarine environments. The model solves the momentum and scalar transport equations for oceanographic applications with realistic topography, bathymetry and forcing. The underlying hydrodynamics in POLCOMS are the shallow water equations with the hydrostatic and Boussinesq approximations. This limits model applicability to flows where the vertical acceleration is small and in practice this imposes a minimum horizontal resolution; simulation can be made at resolutions finer than this but at no benefit to the solution. As a rough guide this can be taken as half the maximum water depth.
POLCOMS can be coupled to a range of different modelling systems: notably ERSEM, GOTM and CICE as mentioned above, and the 3rd generation WAve Model (WAM).
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Types: Software (ocean related)
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, oceanography
Last updated: 15/05/2021
PyFVCOM is a collection of various tools and utilities which can be used to extract, analyse and plot input and output files from FVCOM as well as generate model inputs.
PyFVCOM is a collection of various tools and utilities which can be used to extract, analyse and plot input and output files from FVCOM as well as generate model inputs.
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Types: Software (ocean related)
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: CTD, FVCOM, Modelling, buoys, data visualization, interpolation, oceans, python
Last updated: 16/05/2021
pymoc package (ODIS id: 1947)
https://github.com/pymoc/pymoc
A simple model suite for the MOC.
PyMOC is a suite of python modules to build simple "toy" models f ...
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pymoc package
A simple model suite for the MOC.
PyMOC is a suite of python modules to build simple "toy" models for ocean's Meridional Overturning Circulation (MOC).
The model suite consists of several independent modules representing various ocean regions and dynamics. Specifically, there are modules for calculating the 1-D advective-diffusive buoyancy tendencies averaged over ocean basins, given the net isopycnal transports in and out of the column. The isopycnal transports are computed as diagnostic relationships, with modules to calculate the wind- and eddy-driven residual circulation in a southern-ocean-like re-entrant channel, as well as the geostrophic exchange between different basins or basin regions. These modules may be coupled to study the circulation in a wide range of different configurations.
The intended audiences for this model are researchers, educators and students in the geophysical sciences. The goal is to provide an accessible model appropriate for newcomers to geophysical modeling, but with physics that reflect the current state of our theoretical understanding of the deep ocean overturning circulation.
Configuration and execution of the PyMOC suite requires relatively little technical knowledge or computational resources. All modules are written in pure Python, and the only core dependencies are the NumPy and SciPy libraries. If configuration of your base system environment is undesirable, a preconfigured Docker container has been made available with all required software libraries pre-installed.
Anybody is more than welcome to contibute to the development of PyMOC, but is asked to adhere to the goal of keeping PyMOC well tested, stable, maintainable, and documented.
A simple model suite for the MOC.
PyMOC is a suite of python modules to build simple "toy" models for ocean's Meridional Overturning Circulation (MOC).
The model suite consists of several independent modules representing various ocean regions and dynamics. Specifically, there are modules for calculating the 1-D advective-diffusive buoyancy tendencies averaged over ocean basins, given the net isopycnal transports in and out of the column. The isopycnal transports are computed as diagnostic relationships, with modules to calculate the wind- and eddy-driven residual circulation in a southern-ocean-like re-entrant channel, as well as the geostrophic exchange between different basins or basin regions. These modules may be coupled to study the circulation in a wide range of different configurations.
The intended audiences for this model are researchers, educators and students in the geophysical sciences. The goal is to provide an accessible model appropriate for newcomers to geophysical modeling, but with physics that reflect the current state of our theoretical understanding of the deep ocean overturning circulation.
Configuration and execution of the PyMOC suite requires relatively little technical knowledge or computational resources. All modules are written in pure Python, and the only core dependencies are the NumPy and SciPy libraries. If configuration of your base system environment is undesirable, a preconfigured Docker container has been made available with all required software libraries pre-installed.
Anybody is more than welcome to contibute to the development of PyMOC, but is asked to adhere to the goal of keeping PyMOC well tested, stable, maintainable, and documented.
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Types: Education and training materials (related to oceans), Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, advective-diffusive buoyancy, climate, climate research, oceanography, python, transport
Last updated: 01/05/2021
API for interpolation on regular grid, curvilinear orthoganal grid, unstructured grid.
A high-level general-use API for working with regular, curvilinear, and unstructured grids.
This project is under heavy development and is likely to change drastically until the 1.0 release.
API for interpolation on regular grid, curvilinear orthoganal grid, unstructured grid.
A high-level general-use API for working with regular, curvilinear, and unstructured grids.
This project is under heavy development and is likely to change drastically until the 1.0 release.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: API, interpolation, python
Last updated: 16/05/2021
pyroms package (ODIS id: 1817)
https://github.com/ESMG/pyroms
Python tools for the Regional Ocean Modeling System (ROMS).
Pyroms is a collection of tools to proc ...
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pyroms package
Python tools for the Regional Ocean Modeling System (ROMS).
Pyroms is a collection of tools to process input and output files from the Regional Ocean Modeling System, ROMS. It was originally started by Rob Hetland as a googlecode project, then he morphed it into octant, also at googlecode. Frederic Castruccio then created a fork and renamed it back to pyroms.
Pyroms is now hosted on GitHub.com in the ESMG/pyroms repository. This version is on the python3 branch. It requires Python 3.4 or later.
Python tools for the Regional Ocean Modeling System (ROMS).
Pyroms is a collection of tools to process input and output files from the Regional Ocean Modeling System, ROMS. It was originally started by Rob Hetland as a googlecode project, then he morphed it into octant, also at googlecode. Frederic Castruccio then created a fork and renamed it back to pyroms.
Pyroms is now hosted on GitHub.com in the ESMG/pyroms repository. This version is on the python3 branch. It requires Python 3.4 or later.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, oceanography, python, roms
Last updated: 16/05/2021
Suite of tools for the tidal energy community and FVCOM users.
This project aims to meet multiple objectives of the EcoEII consortium through the setting of a dedicated server and the development of Python based packages. This project can be seen as two folded. On the one hand, it aims to enhance data accessibility for all the partners of the EcoEII consortium thanks to simple client protocols. On the other hand, it aims to develop standardised numerical toolbox gathering specific analysis functions for measured and simulated data (FVCOM model) to the EcoEII partners.
Additionally, this project was the ideal opportunity to transport various scripts and packages accumulated over the years into Python. These scripts and packages have been extensively used by the tidal energy community for more than a decade. The 'Contributors' section of this document is a mere attempt to acknowledge the work of those who participated more or less indirectly to the development of this tool box. We are consciously standing on the shoulders of a multitude giants...so please forgive us if we forgot one of them.
Suite of tools for the tidal energy community and FVCOM users.
This project aims to meet multiple objectives of the EcoEII consortium through the setting of a dedicated server and the development of Python based packages. This project can be seen as two folded. On the one hand, it aims to enhance data accessibility for all the partners of the EcoEII consortium thanks to simple client protocols. On the other hand, it aims to develop standardised numerical toolbox gathering specific analysis functions for measured and simulated data (FVCOM model) to the EcoEII partners.
Additionally, this project was the ideal opportunity to transport various scripts and packages accumulated over the years into Python. These scripts and packages have been extensively used by the tidal energy community for more than a decade. The 'Contributors' section of this document is a mere attempt to acknowledge the work of those who participated more or less indirectly to the development of this tool box. We are consciously standing on the shoulders of a multitude giants...so please forgive us if we forgot one of them.
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Types: Software (ocean related)
Languages: English
Countries: REGIONAL
Host Countries: United Kingdom
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: FVCOM, Modelling, python
Last updated: 16/05/2021
python-ctd package (ODIS id: 1823)
https://pypi.org/project/ctd/
Tools to load hydrographic data as pandas DataFrame with some handy methods for data pre-processing ...
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python-ctd package
Tools to load hydrographic data as pandas DataFrame with some handy methods for data pre-processing and analysis
This module can load SeaBird CTD (CNV), Sippican XBT (EDF), and Falmouth CTD (ASCII) formats.
Tools to load hydrographic data as pandas DataFrame with some handy methods for data pre-processing and analysis
This module can load SeaBird CTD (CNV), Sippican XBT (EDF), and Falmouth CTD (ASCII) formats.
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Types: Software (ocean related)
Languages: English
Countries: Brazil
Host Countries: Brazil
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: CTD, XBT, oceanography, python, sea water, thermosalinograph
Last updated: 15/05/2021
python-seabird package (ODIS id: 1825)
https://pypi.org/project/seabird/
This is a parser for Sea Bird CTD and TSG output files.
The Sea Bird CTD post processed data usua ...
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python-seabird package
This is a parser for Sea Bird CTD and TSG output files.
The Sea Bird CTD post processed data usually uses the .cnv extention. The purpose of the PySeabird is to parse this type of files, considering the different versions along the time, as well as different setups.
At this point my goal is to have an object with the attributes parsed from the header, and the data as Masked Arrays, so that the user doesn’t need to loose time evaluating the version and details of that cnv, but have it in a standard pattern, ready to use.
ATENTION, this is not an official package, so if you have trouble with it, do not complain to Sea-Bird. Open an issue at GitHub (https://github.com/castelao/seabird/issues), and I’ll try to help you.
This is a parser for Sea Bird CTD and TSG output files.
The Sea Bird CTD post processed data usually uses the .cnv extention. The purpose of the PySeabird is to parse this type of files, considering the different versions along the time, as well as different setups.
At this point my goal is to have an object with the attributes parsed from the header, and the data as Masked Arrays, so that the user doesn’t need to loose time evaluating the version and details of that cnv, but have it in a standard pattern, ready to use.
ATENTION, this is not an official package, so if you have trouble with it, do not complain to Sea-Bird. Open an issue at GitHub (https://github.com/castelao/seabird/issues), and I’ll try to help you.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: CTD, data processing, python, quality control, thermosalinograph
Last updated: 15/05/2021
python-seawater package (ODIS id: 1824)
https://pypi.org/project/seawater/
This is a Python re-write of the CSIRO seawater toolbox (SEAWATER-3.3) for calculating the propertie ...
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python-seawater package
This is a Python re-write of the CSIRO seawater toolbox (SEAWATER-3.3) for calculating the properties of sea water. The package uses the formulas from Unesco’s joint panel on oceanographic tables and standards, UNESCO 1981 and UNESCO 1983 (EOS-80).
The EOS-80 library is considered now obsolete; it is provided here for compatibility with old scripts, and to allow a smooth transition to the new TEOS-10.
This is a Python re-write of the CSIRO seawater toolbox (SEAWATER-3.3) for calculating the properties of sea water. The package uses the formulas from Unesco’s joint panel on oceanographic tables and standards, UNESCO 1981 and UNESCO 1983 (EOS-80).
The EOS-80 library is considered now obsolete; it is provided here for compatibility with old scripts, and to allow a smooth transition to the new TEOS-10.
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Types: Software (ocean related)
Languages: English
Countries: Brazil
Host Countries: Brazil
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: matlab, oceanography, python, sea water
Last updated: 15/05/2021
Repository for templates and code relating to generating standard NetCDF files for the Australia Ocean Data Network
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Types: Software (ocean related)
Languages: English
Countries: Australia
Host Countries: Australia
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: Integrated Marine Observing System, NetCDF, data processing, python
Last updated: 02/05/2021
The OOI strives to make data accessible and usable so scientists can easily apply it to their research questions and teachers can integrate it into their classroom instructions. Two ways in which we do this is to use popular programming languages like Python and tools like Jupyter Notebooks, both of which are widely used in the research community. Python excels at scalability, making it possible for scientists to approach problems in many different ways. Jupyter Notebooks, an open-source web application, allows users to create and share documents containing live code, equations, visualizations, and other text, which help expand understanding of data and its potential applications.
The following are some ways Python is applied to OOI data and examples of Jupyter Notebooks using OOI data
Python Jupyter Notebooks - Ocean Observatories Initiative (ODIS id 1867)
The OOI strives to make data accessible and usable so scientists can easily apply it to their research questions and teachers can integrate it into their classroom instructions. Two ways in which we do this is to use popular programming languages like Python and tools like Jupyter Notebooks, both of which are widely used in the research community. Python excels at scalability, making it possible for scientists to approach problems in many different ways. Jupyter Notebooks, an open-source web application, allows users to create and share documents containing live code, equations, visualizations, and other text, which help expand understanding of data and its potential applications.
The following are some ways Python is applied to OOI data and examples of Jupyter Notebooks using OOI data
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS06 Cross-discipline
Keywords: data access, data analysis, data processing
Last updated: 21/04/2021
Misc helper functions for ocean sciences.
Most of the functions here are Python versions of some common MatlabTM functions. They are untested and probably buggy. Use with caution!
Filipe, André Palóczy, Arnaldo Russo, xiao, Jesse, & Rich Signell. (2020, February 13). pyoceans/python-oceans: v0.8.1 (Version v0.8.1). Zenodo. http://doi.org/10.5281/zenodo.3666630
Abstract
Misc helper functions for ocean sciences.
Most of the functions here are Python versions of some common MatlabTM functions. They are untested and probably buggy. Use with caution!
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Brazil
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere
Keywords: data analysis, oceanography, python
Last updated: 16/05/2021
Tide prediction and analysis in python.
Pytides is small Python package for the analysis and prediction of tides. Pytides can be used to extrapolate the tidal behaviour at a given location from its previous behaviour. The method used is that of harmonic constituents, in particular as presented by P. Schureman in Special Publication 98. The fitting of amplitudes and phases is handled by Scipy's leastsq minimisation function. Pytides currently supports the constituents used by NOAA, with plans to add more constituent sets. It is therefore possible to use the amplitudes and phases published by NOAA directly, without the need to perform the analysis again (although there may be slight discrepancies for some constituents).
It is recommended that all interactions with pytides which require times to be specified are in the format of naive UTC datetime instances. In particular, note that pytides makes no adjustment for summertime or any other civil variations within timezones.
Tide prediction and analysis in python.
Pytides is small Python package for the analysis and prediction of tides. Pytides can be used to extrapolate the tidal behaviour at a given location from its previous behaviour. The method used is that of harmonic constituents, in particular as presented by P. Schureman in Special Publication 98. The fitting of amplitudes and phases is handled by Scipy's leastsq minimisation function. Pytides currently supports the constituents used by NOAA, with plans to add more constituent sets. It is therefore possible to use the amplitudes and phases published by NOAA directly, without the need to perform the analysis again (although there may be slight discrepancies for some constituents).
It is recommended that all interactions with pytides which require times to be specified are in the format of naive UTC datetime instances. In particular, note that pytides makes no adjustment for summertime or any other civil variations within timezones.
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Types: Software (ocean related)
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: python, tidal analysis, tides, tides forecast
Last updated: 16/05/2021
The Pitzer model for chemical activities in aqueous solutions implemented in Python.
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Types: Software (ocean related)
Languages: English
Countries: Nepal
Host Countries: Netherlands
Sea Region: World
Themes: DS02 Chemical oceanography
Keywords: chemical activities, chemical speciation, chemistry, oceanography, pitzer model, python, sea water
Last updated: 02/05/2021
PyWavelets is a Python wavelet transforms module that includes:
nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)
1D and 2D Forward and Inverse Stationary Wavelet Transform (Undecimated Wavelet Transform)
1D and 2D Wavelet Packet decomposition and reconstruction
1D Continuous Wavelet Tranfsorm
Computing Approximations of wavelet and scaling functions
Over 100 built-in wavelet filters and support for custom wavelets
Single and double precision calculations
Real and complex calculations
Results compatible with Matlab Wavelet Toolbox (TM)
Gregory R. Lee, Ralf Gommers, Kai Wohlfahrt, Filip Wasilewski, Aaron O'Leary, Holger Nahrstaedt, … asnt. (2019, October 19). PyWavelets/pywt: PyWavelets 1.1.1 (Version v1.1.1). Zenodo. http://doi.org/10.5281/zenodo.3510098
Abstract
PyWavelets is a Python wavelet transforms module that includes:
nD Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)
1D and 2D Forward and Inverse Stationary Wavelet Transform (Undecimated Wavelet Transform)
1D and 2D Wavelet Packet decomposition and reconstruction
1D Continuous Wavelet Tranfsorm
Computing Approximations of wavelet and scaling functions
Over 100 built-in wavelet filters and support for custom wavelets
Single and double precision calculations
Real and complex calculations
Results compatible with Matlab Wavelet Toolbox (TM)
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: image gallery, image processing, objective-c, signal processing, wavelets
Last updated: 16/05/2021
q-Core is a database and interface system designed primarily for ecological and environmental studies, particularly long-term monitoring or large-scale sampling programs. The q-Core model was developed jointly by Matt Edmunds, Adrian Flynn and Adam Abdul-Rahman. The functions of q-Core include:
- A repository for field sample data and observations;
- Efficient recording and describing of survey activity, metocean conditions and deployments while in the field;
- Registering specimens and sampling products such as biological specimens, images and electronic datafiles;
- Provide an efficient sample barcode labelling and tracking system, including for validation, inventory and chain of custody purposes;
- Record and dashboard program progress;
- Facilitate OHS, environmental and QAQC management of projects, including dash-boarding the status projects;
- Facilitate data checking and rapid data exploration;
- Facilitate efficient output of regular data and reporting products; and
- Enable centralised storage of any type of ecological and environmental data.
The q-Core system consists of three components:
- PostgreSQL database;
- User interfaces for data entry, exploration and export; and
- Directories for storage of electronic imagery, documents and files.
q-Core Ecological Database - CoastKit Resources (ODIS id 2989)
q-Core is a database and interface system designed primarily for ecological and environmental studies, particularly long-term monitoring or large-scale sampling programs. The q-Core model was developed jointly by Matt Edmunds, Adrian Flynn and Adam Abdul-Rahman. The functions of q-Core include:
- A repository for field sample data and observations;
- Efficient recording and describing of survey activity, metocean conditions and deployments while in the field;
- Registering specimens and sampling products such as biological specimens, images and electronic datafiles;
- Provide an efficient sample barcode labelling and tracking system, including for validation, inventory and chain of custody purposes;
- Record and dashboard program progress;
- Facilitate OHS, environmental and QAQC management of projects, including dash-boarding the status projects;
- Facilitate data checking and rapid data exploration;
- Facilitate efficient output of regular data and reporting products; and
- Enable centralised storage of any type of ecological and environmental data.
The q-Core system consists of three components:
- PostgreSQL database;
- User interfaces for data entry, exploration and export; and
- Directories for storage of electronic imagery, documents and files.
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Types: Data catalogue, Software (ocean related)
Languages: English
Countries: Australia
Host Countries: Australia
Sea Region: no searegion defined
Themes: DS01 Biological oceanography, DS10 Environment
Keywords: Long-term monitoring, data analysis, data collection, environmental data, environmental information, marine ecology, monitoring programmes
Last updated: 12/12/2021
QGIS Software (ODIS id: 1797)
https://qgis.org/en/site/
Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD and ...
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QGIS Software
Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD and mobile devices.
QGIS is a professional GIS application that is built on top of and proud to be itself Free and Open Source Software (FOSS).
QGIS is a user friendly Open Source Geographic Information System (GIS) licensed under the GNU General Public License. QGIS is an official project of the Open Source Geospatial Foundation (OSGeo). It runs on Linux, Unix, Mac OSX, Windows and Android and supports numerous vector, raster, and database formats and functionalities.
QGIS is a volunteer driven project. We welcome contributions in the form of code contributions, bug fixes, bug reports, contributed documentation, advocacy and supporting other users on our mailing lists and gis.stackexchange.com. If you are interested in actively supporting the project, you can find more information under the development menu and on the QGIS Wiki.
Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD and mobile devices.
QGIS is a professional GIS application that is built on top of and proud to be itself Free and Open Source Software (FOSS).
QGIS is a user friendly Open Source Geographic Information System (GIS) licensed under the GNU General Public License. QGIS is an official project of the Open Source Geospatial Foundation (OSGeo). It runs on Linux, Unix, Mac OSX, Windows and Android and supports numerous vector, raster, and database formats and functionalities.
QGIS is a volunteer driven project. We welcome contributions in the form of code contributions, bug fixes, bug reports, contributed documentation, advocacy and supporting other users on our mailing lists and gis.stackexchange.com. If you are interested in actively supporting the project, you can find more information under the development menu and on the QGIS Wiki.
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS06 Cross-discipline, DS08 Terrestrial, DS12 Human activities
Keywords: Spatial data, c++, python, spatial analysis
Last updated: 08/05/2021
Quality Control Checks - International Council for the Exploration of the Sea (ODIS id: 180)
Quality Control Checks - International Council for the Exploration of the Sea
All data quality control checks performed by the online screening programs, or by ICES data officers before data are uploaded to the thematic portals are documented in the Quality Control Database (QC DB).
Quality Control Checks - International Council for the Exploration of the Sea (ODIS id 180)
Quality Control Checks - International Council for the Exploration of the Sea
Original (non-English) name
Acronym
Quality Control Checks - ICES
Citation
Abstract
All data quality control checks performed by the online screening programs, or by ICES data officers before data are uploaded to the thematic portals are documented in the Quality Control Database (QC DB).
Types: Data systems/portals (allowing downloading of data sets), Software (ocean related)
Languages: English
Countries: Denmark
Host Countries: Denmark
Sea Region: World
Themes: DS01 Biological oceanography, DS11 Fisheries and aquaculture
Keywords: ICES Services, Marine, data quality, metadata
Last updated: 28/09/2021
QuinCe is a system for the automatic QC of data collected from ship-board scientific instruments.
See Documentation/Specification for more details of what the project does.
QuinCe is a system for the automatic QC of data collected from ship-board scientific instruments.
See Documentation/Specification for more details of what the project does.
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Types: Software (ocean related)
Languages: English
Countries: Norway
Host Countries: Norway
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: Java, data reduction, oceanography, quality control
Last updated: 30/04/2021
rdwd is an R interface to data from the German weather service (DWD). rdwd is an R package to select, download and read climate data from the German Weather Service (Deutscher Wetterdienst, DWD).
The DWD provides thousands of datasets with weather observations online at opendata.dwd.de.
Since May 2019, rdwd also supports reading the Radolan (binary) raster data at grids_germany.
It provides three categories of services:
find, select, download + read data
vectorized, progress bars, no re-downloads
index of files + meta data
for three types of data:
observational time series from 6k meteorological recording stations (2.5k active) -> rain, temperature, wind, sunshine, pressure, cloudiness, humidity, snow, …
gridded raster data from radar + interpolation
european data stock slowly growing (but reading functions not tested yet)
All further information is available on the website: https://bookdown.org/brry/rdwd
rdwd is an R interface to data from the German weather service (DWD). rdwd is an R package to select, download and read climate data from the German Weather Service (Deutscher Wetterdienst, DWD).
The DWD provides thousands of datasets with weather observations online at opendata.dwd.de.
Since May 2019, rdwd also supports reading the Radolan (binary) raster data at grids_germany.
It provides three categories of services:
find, select, download + read data
vectorized, progress bars, no re-downloads
index of files + meta data
for three types of data:
observational time series from 6k meteorological recording stations (2.5k active) -> rain, temperature, wind, sunshine, pressure, cloudiness, humidity, snow, …
gridded raster data from radar + interpolation
european data stock slowly growing (but reading functions not tested yet)
All further information is available on the website: https://bookdown.org/brry/rdwd
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Types: Software (ocean related)
Languages: English
Countries: Germany
Host Countries: Germany
Sea Region: World
Themes: DS05 Atmosphere
Keywords: climate, meteorology, r-package, time-series
Last updated: 15/05/2021
Research Software - Monterey Bay Aquarium Research Institute (ODIS id: 514)
Research Software - Monterey Bay Aquarium Research Institute
One of MBARI’s goals is to develop sophisticated systems for investigating the ocean and its inhabitants where high scientific potential exists. MBARI engineers have developed a variety of novel research software systems for processing, managing, and presenting diverse data sets. Some open source software is distributed “as is”, with no warranty, express or implied, of the quality or consistency. The software systems are provided without support and without obligation on the part of the Monterey Bay Aquarium Research Institute to assist in its use, correction, modification, or enhancement.
Video Annotation and Reference System:
the Video Annotation and Reference System (VARS) is a software interface and database system that provides tools for describing, cataloging, retrieving, and viewing the visual, descriptive, and quantitative data associated with MBARI’s deep-sea video archives.
Oceanographic Decision Support System: in the ODSS, ocean scientists collaboratively design their experiments, communicate with other participants, track asset locations and command robotic vehicles at sea.
MB-System seafloor mapping software:
MB-System is an open source software package for the processing and display of bathymetry and backscatter imagery data derived from multibeam, interferometry, and sidescan sonars. The source code for MB-System is freely available.
Spatial Temporal Oceanographic Query System (STOQS) Data:
STOQS is a geospatial database and web application designed to give oceanographers efficient integrated acccess to in situ measurement and ex situ sample data.
Matlab scripts - Linear regressions:
Model I and Model II regressions are statistical techniques for fitting a line to a data set.
Matlab scripts - Oceanographic calculations:
calculate common oceanographic parameters (AOU, density, salinity, etc.) using scripts optimized for PCs.
Matlab scripts - Sound velocity:
calculate Vsnd (S,T,P) using a formula based upon the van 't Hoff equation.
Visual Basic for Excel - Oceanographic calculations:
Calculate common oceanographic parameters (AOU, density, salinity, etc.) using scripts optimized for use with Excel.
Research Software - Monterey Bay Aquarium Research Institute (ODIS id 514)
Research Software - Monterey Bay Aquarium Research Institute
Original (non-English) name
Acronym
Research Software - MBARI
Citation
Abstract
One of MBARI’s goals is to develop sophisticated systems for investigating the ocean and its inhabitants where high scientific potential exists. MBARI engineers have developed a variety of novel research software systems for processing, managing, and presenting diverse data sets. Some open source software is distributed “as is”, with no warranty, express or implied, of the quality or consistency. The software systems are provided without support and without obligation on the part of the Monterey Bay Aquarium Research Institute to assist in its use, correction, modification, or enhancement.
Video Annotation and Reference System:
the Video Annotation and Reference System (VARS) is a software interface and database system that provides tools for describing, cataloging, retrieving, and viewing the visual, descriptive, and quantitative data associated with MBARI’s deep-sea video archives.
Oceanographic Decision Support System: in the ODSS, ocean scientists collaboratively design their experiments, communicate with other participants, track asset locations and command robotic vehicles at sea.
MB-System seafloor mapping software:
MB-System is an open source software package for the processing and display of bathymetry and backscatter imagery data derived from multibeam, interferometry, and sidescan sonars. The source code for MB-System is freely available.
Spatial Temporal Oceanographic Query System (STOQS) Data:
STOQS is a geospatial database and web application designed to give oceanographers efficient integrated acccess to in situ measurement and ex situ sample data.
Matlab scripts - Linear regressions:
Model I and Model II regressions are statistical techniques for fitting a line to a data set.
Matlab scripts - Oceanographic calculations:
calculate common oceanographic parameters (AOU, density, salinity, etc.) using scripts optimized for PCs.
Matlab scripts - Sound velocity:
calculate Vsnd (S,T,P) using a formula based upon the van 't Hoff equation.
Visual Basic for Excel - Oceanographic calculations:
Calculate common oceanographic parameters (AOU, density, salinity, etc.) using scripts optimized for use with Excel.
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography, DS04 Marine geology
Keywords: data analysis, data management, data processing, data quality, seafloor mapping, statistics
Last updated: 04/10/2021
Welcome to rfishbase. This package is the third rewrite of the original rfishbase package described in Boettiger et al. (2012).
rfishbase 3.0 queries pre-compressed tables from a static server and employs local caching (through memoization) to provide much greater performance and stability, particularly for dealing with large queries involving 10s of thousands of species. The user is never expected to deal with pagination or curl headers and timeouts.
We welcome any feedback, issues or questions that users may encounter through our issues tracker on GitHub: https://github.com/ropensci/rfishbase/issues
rfishbase is a programmatic interface to 'FishBase', re-written based on an accompanying 'RESTful' API. Access tables describing over 30,000 species of fish, their biology, ecology, morphology, and more. This package also supports experimental access to 'SeaLifeBase' data, which contains nearly 200,000 species records for all types of aquatic life not covered by 'FishBase.'
Welcome to rfishbase. This package is the third rewrite of the original rfishbase package described in Boettiger et al. (2012).
rfishbase 3.0 queries pre-compressed tables from a static server and employs local caching (through memoization) to provide much greater performance and stability, particularly for dealing with large queries involving 10s of thousands of species. The user is never expected to deal with pagination or curl headers and timeouts.
We welcome any feedback, issues or questions that users may encounter through our issues tracker on GitHub: https://github.com/ropensci/rfishbase/issues
rfishbase is a programmatic interface to 'FishBase', re-written based on an accompanying 'RESTful' API. Access tables describing over 30,000 species of fish, their biology, ecology, morphology, and more. This package also supports experimental access to 'SeaLifeBase' data, which contains nearly 200,000 species records for all types of aquatic life not covered by 'FishBase.'
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Types
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: Fish, FishBase, biology, ecology, morphometric data, r-package
Last updated: 22/04/2021
R is so appropriate as a scientific tool because the base software can easily be extended by means of user-made packages.
To allow using R for our work, a lot of new packages were developed by us. Our packages fall in several categories:
Visualisation of (oceanographic) data or making diagrams.
Scientific computing, including solving differential equations, linear and nonlinear equations.
Model-data comparison, containing state-of-the-art statistical tools to fit a model against observational data.
Calculating physical and chemical quantities that are used in marine sciences.
Karline Soetaert implemented most of the codes, with contributions from Dick van Oevelen, Filip Meysman, Karel Van den Meersche, Andreas Hofmann and Tom van Engeland from our department.
R is so appropriate as a scientific tool because the base software can easily be extended by means of user-made packages.
To allow using R for our work, a lot of new packages were developed by us. Our packages fall in several categories:
Visualisation of (oceanographic) data or making diagrams.
Scientific computing, including solving differential equations, linear and nonlinear equations.
Model-data comparison, containing state-of-the-art statistical tools to fit a model against observational data.
Calculating physical and chemical quantities that are used in marine sciences.
Karline Soetaert implemented most of the codes, with contributions from Dick van Oevelen, Filip Meysman, Karel Van den Meersche, Andreas Hofmann and Tom van Engeland from our department.
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Types
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Types: Software (ocean related)
Languages: English
Countries: Netherlands
Host Countries: Netherlands
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: data analysis, data visualization, marine science, oceanography, r-package
Last updated: 15/05/2021
Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at , with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.
Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at , with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.
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Types
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Contributing data to
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS05 Atmosphere
Keywords: API, data access, r-package
Last updated: 15/05/2021
Pieter Provoost, & Samuel. (2018, November 16). iobis/robis: version 1.0.3 (Version v1.0.3). Zenodo. http://doi.org/10.5281/zenodo.1489988
Abstract
R client for the OBIS API
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: GIS, Geospatial data, Marine Species, OBIS, Occurrence, biodiversity, data discovey, data services, marine ecosystems
Last updated: 24/11/2021
rOpenGov package - Finnish Meteorological Institute (ODIS id: 1879)
https://github.com/rOpenGov/fmi2
R client package for the Finnish Meteorological Institute (FMI) open data API. fmi2 provides access ...
more
rOpenGov package - Finnish Meteorological Institute
R client package for the Finnish Meteorological Institute (FMI) open data API. fmi2 provides access to a subset of the FMI download service. FMI maintains and is reponsible for the data available through their API, but has no official connections to fmi2.
All data from the FMI is released under the Creative Commons Attribution 4.0 International license.
rOpenGov package - Finnish Meteorological Institute (ODIS id 1879)
rOpenGov package - Finnish Meteorological Institute
Original (non-English) name
Acronym
rOpenGov - FMI
Citation
Abstract
R client package for the Finnish Meteorological Institute (FMI) open data API. fmi2 provides access to a subset of the FMI download service. FMI maintains and is reponsible for the data available through their API, but has no official connections to fmi2.
All data from the FMI is released under the Creative Commons Attribution 4.0 International license.
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Countries owning the source
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Data policy
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Finland
Host Countries: Finland
Sea Region: Baltic Sea
Themes: DS06 Cross-discipline
Keywords: API, r-package
Last updated: 22/04/2021
rsoi (ODIS id: 1968)
https://github.com/boshek/rsoi
An R package to download the most up to date of these climate indices:
Southern Oscillation Index ...
more
rsoi
An R package to download the most up to date of these climate indices:
Southern Oscillation Index
Oceanic Nino Index
North Pacific Gyre Oscillation
North Atlantic Oscillation
Arctic Oscillation
Antarctic Oscillation
Multivariate ENSO Index Version 2
Pacific Decadal Oscillation
An R package to download the most up to date of these climate indices:
Southern Oscillation Index
Oceanic Nino Index
North Pacific Gyre Oscillation
North Atlantic Oscillation
Arctic Oscillation
Antarctic Oscillation
Multivariate ENSO Index Version 2
Pacific Decadal Oscillation
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Canada
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: ENSO, end users
Last updated: 04/07/2021
This is a collection of tools for working with the Salish Sea MEOPAR NEMO model, its results, and associated data.
Documentation for the tools is included in the docs/ directory and is rendered at https://salishsea-meopar-tools.readthedocs.io/en/latest/.
This is a collection of tools for working with the Salish Sea MEOPAR NEMO model, its results, and associated data.
Documentation for the tools is included in the docs/ directory and is rendered at https://salishsea-meopar-tools.readthedocs.io/en/latest/.
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Salish Sea
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Types
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Contributing data to
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Types: Software (ocean related)
Languages: English
Countries: Canada
Host Countries: Canada
Sea Region: North Atlantic Ocean
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: MEOPAR NEMO model, oceanography, python
Last updated: 02/05/2021
This is a collection of analyses of the results of the Salish Sea MEOPAR NEMO model. Most of the files are IPython Notebooks. See the README.md files in each directory for links to read-only renderings of the notebooks. That is especially useful if you are viewing this repository on Bitbucket.
This is a collection of analyses of the results of the Salish Sea MEOPAR NEMO model. Most of the files are IPython Notebooks. See the README.md files in each directory for links to read-only renderings of the notebooks. That is especially useful if you are viewing this repository on Bitbucket.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Salish Sea
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Canada
Host Countries: Canada
Sea Region: North Atlantic Ocean
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: Modelling, oceanography, python
Last updated: 01/05/2021
The SalishSeaNowcast package is a collection of Python modules associated with running the Salish Sea NEMO model in a daily nowcast/forecast mode. The runs use as-recent-as-available (typically previous day) forcing data for the western boundary sea surface height and the Fraser River flow, and atmospheric forcing from the four-times-daily produced forecast results from the Environment Canada High Resolution Deterministic Prediction System (HRDPS) operational GEM 2.5km resolution model.
The runs are automated using an asynchronous, message-based architecture that:
obtains the forcing datasets from web services
pre-processes the forcing datasets into the formats expected by NEMO
uploads the forcing dataset files to the HPC or cloud-computing facility where the run will be executed
executes the run
downloads the results
prepares a collection of plots from the run results for monitoring purposes
publishes the plots and the processing log to the web
Documentation for the package is in the docs/ directory and is rendered at https://salishsea-nowcast.readthedocs.io/en/latest/.
The SalishSeaNowcast package is a collection of Python modules associated with running the Salish Sea NEMO model in a daily nowcast/forecast mode. The runs use as-recent-as-available (typically previous day) forcing data for the western boundary sea surface height and the Fraser River flow, and atmospheric forcing from the four-times-daily produced forecast results from the Environment Canada High Resolution Deterministic Prediction System (HRDPS) operational GEM 2.5km resolution model.
The runs are automated using an asynchronous, message-based architecture that:
obtains the forcing datasets from web services
pre-processes the forcing datasets into the formats expected by NEMO
uploads the forcing dataset files to the HPC or cloud-computing facility where the run will be executed
executes the run
downloads the results
prepares a collection of plots from the run results for monitoring purposes
publishes the plots and the processing log to the web
Documentation for the package is in the docs/ directory and is rendered at https://salishsea-nowcast.readthedocs.io/en/latest/.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Salish Sea
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Canada
Host Countries: Canada
Sea Region: North Atlantic Ocean
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: Modelling, automation, oceanography, python
Last updated: 01/05/2021
'ScarFace' is a Shiny web application that has been developed to facilitate the usage of the R-package 'seacarb' (http://CRAN.R-project.org/package=seacarb). 'seacarb' is used to calculate the carbonate chemistry of seawater requiring a command-line usage. For non-friends of bare code, 'ScarFace' enables to use 'seacarb' via an user interface (ui) without the need for digging into R.
The web app implements the most frequently used functions bjerrum(), carb(), and errors(), which can be simply operated by numerical or slider inputs. In addition to single calculations, batch processing can be performed by uploading csv source tables, where there is no need for pre-defined column names or order. If required, propagated errors can be calculated based on source table or manually entered values.
Raitzsch, M. and Gattuso, J.-P., 2020. ScarFace - seacarb calculations with R Shiny user interface. https://doi.org/10.5281/zenodo.3662139.
as well as
Gattuso J.-P., Epitalon J.-M., Lavigne H. and Orr J., 2019. seacarb: seawater carbonate chemistry. R package version 3.2.12. http://CRAN.R-project.org/package=seacarb.
Abstract
'ScarFace' is a Shiny web application that has been developed to facilitate the usage of the R-package 'seacarb' (http://CRAN.R-project.org/package=seacarb). 'seacarb' is used to calculate the carbonate chemistry of seawater requiring a command-line usage. For non-friends of bare code, 'ScarFace' enables to use 'seacarb' via an user interface (ui) without the need for digging into R.
The web app implements the most frequently used functions bjerrum(), carb(), and errors(), which can be simply operated by numerical or slider inputs. In addition to single calculations, batch processing can be performed by uploading csv source tables, where there is no need for pre-defined column names or order. If required, propagated errors can be calculated based on source table or manually entered values.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Germany
Host Countries: Germany
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: shiny-apps, ship
Last updated: 01/05/2021
Scatterometer wind processing software packages - Satellite Application Facility on Ocean and Sea Ice (ODIS id: 2945)
Scatterometer wind processing software packages - Satellite Application Facility on Ocean and Sea Ice
Scatterometers are radar instruments that measure the radar backscatter from a part of the ocean surface. The radar backscatter depends on sea roughness which is linked to wind speed and wind direction. When the radar backscatter is measured from three or more directions, numerical inversion of the Geophysical Model Function (GMF) yields the wind speed and direction at the ocean surface.
In general, such a procedure does not have a unique solution locally. Sophisticated software is needed to find the possible solutions by local inversion, control the quality of these solutions, and find the best unique solution for the spatial wind field.
The OSI SAF supplies and maintains three data processors for radar backscatter data: AWDP for ERS/ASCAT, PenWP for SeaWinds/OSCAT/HY-2A/RapidScat, and CWDP for the scatterometer on CFOSAT. Distribution of the software is done through the NWP SAF website: https://nwp-saf.eumetsat.int/site/software/scatterometer/.
The wind processing packages are written in Fortran 90. AWDP generates surface winds from data obtained by the Advanced Scatterometer (ASCAT) and European Remote Sensing satellite (ERS) scatterometer instruments. PenWP generates surface winds from data obtained by the SeaWinds scatterometer on board QuikSCAT, the OSCAT scatterometer on board Oceansat-2 and ScatSat-1, the HSCAT scatterometer on board HY-2A and the RapidScat scatterometer on board of the International Space Station. CWDP generates surface winds from data obtained by the scatterometer on board CFOSAT. CWDP is currently a beta version, we stimulate users to provide feedback, which will help us to improve the software in future releases. All processors allow the use of ambiguity removal with the Two-dimensional Variational Ambiguity Removal (2DVAR) method and they support the Multiple Solution Scheme (MSS). Their output consists of wind vectors which represent surface winds within the ground swath of the scatterometer. Normalized Radar Cross Section (NRCS) data is input by all wind processors.
AWDP, PenWP and CWDP with accompanying documentation are available free of charge under licence, and are distributed by the NWP SAF, on https://nwp-saf.eumetsat.int/site/software/scatterometer/. A number of technical reports detailing some of the methods described in this overview can also be found there.
Scatterometer wind processing software packages - Satellite Application Facility on Ocean and Sea Ice (ODIS id 2945)
Scatterometer wind processing software packages - Satellite Application Facility on Ocean and Sea Ice
Original (non-English) name
Acronym
Scatterometer wind processing software packages - OSI SAF
Citation
Abstract
Scatterometers are radar instruments that measure the radar backscatter from a part of the ocean surface. The radar backscatter depends on sea roughness which is linked to wind speed and wind direction. When the radar backscatter is measured from three or more directions, numerical inversion of the Geophysical Model Function (GMF) yields the wind speed and direction at the ocean surface.
In general, such a procedure does not have a unique solution locally. Sophisticated software is needed to find the possible solutions by local inversion, control the quality of these solutions, and find the best unique solution for the spatial wind field.
The OSI SAF supplies and maintains three data processors for radar backscatter data: AWDP for ERS/ASCAT, PenWP for SeaWinds/OSCAT/HY-2A/RapidScat, and CWDP for the scatterometer on CFOSAT. Distribution of the software is done through the NWP SAF website: https://nwp-saf.eumetsat.int/site/software/scatterometer/.
The wind processing packages are written in Fortran 90. AWDP generates surface winds from data obtained by the Advanced Scatterometer (ASCAT) and European Remote Sensing satellite (ERS) scatterometer instruments. PenWP generates surface winds from data obtained by the SeaWinds scatterometer on board QuikSCAT, the OSCAT scatterometer on board Oceansat-2 and ScatSat-1, the HSCAT scatterometer on board HY-2A and the RapidScat scatterometer on board of the International Space Station. CWDP generates surface winds from data obtained by the scatterometer on board CFOSAT. CWDP is currently a beta version, we stimulate users to provide feedback, which will help us to improve the software in future releases. All processors allow the use of ambiguity removal with the Two-dimensional Variational Ambiguity Removal (2DVAR) method and they support the Multiple Solution Scheme (MSS). Their output consists of wind vectors which represent surface winds within the ground swath of the scatterometer. Normalized Radar Cross Section (NRCS) data is input by all wind processors.
AWDP, PenWP and CWDP with accompanying documentation are available free of charge under licence, and are distributed by the NWP SAF, on https://nwp-saf.eumetsat.int/site/software/scatterometer/. A number of technical reports detailing some of the methods described in this overview can also be found there.
ScientiMate is a library for earth-science data analysis. This library can be used for wide range of data analysis including a time series analysis, signal processing, and geo-data calculation.
ScientiMate: Earth-Science Data Analysis Library (ODIS id 1884)
Karimpour, A. (2020). ScientiMate, Earth-Science Data Analysis Library
Abstract
ScientiMate is a library for earth-science data analysis. This library can be used for wide range of data analysis including a time series analysis, signal processing, and geo-data calculation.
Technical contact email
please check the record details page
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Interface Languages
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
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Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: data analysis, python
Last updated: 25/04/2021
Collection of files and demos associated with SciPy 2020 Talk "Oceanography, Data Ontology, and the Semantic Web".
Repo with examples of how to explore and plot data in the BCO-DMO data repository using the BCO-DMO Knowledge Graph with Python and Jupyter
Try running BCO-DMO_SPARQL_intro_No-data.ipynb in Binder to explore the BCO-DMO Knowledge Graph with python and SPARQL! Binder (The interactive map visualization will not work on Binder.)
Browse the BCO-DMO Knowledge Graph via the SPARQL endpoint: https://lod.bco-dmo.org/browse/ Check out the Ocean Data Ontolody (odo:) https://ocean-data.org/schema/.
Collection of files and demos associated with SciPy 2020 Talk "Oceanography, Data Ontology, and the Semantic Web".
Repo with examples of how to explore and plot data in the BCO-DMO data repository using the BCO-DMO Knowledge Graph with Python and Jupyter
Try running BCO-DMO_SPARQL_intro_No-data.ipynb in Binder to explore the BCO-DMO Knowledge Graph with python and SPARQL! Binder (The interactive map visualization will not work on Binder.)
Browse the BCO-DMO Knowledge Graph via the SPARQL endpoint: https://lod.bco-dmo.org/browse/ Check out the Ocean Data Ontolody (odo:) https://ocean-data.org/schema/.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
WARNING: The number of SPARQL requests made at one time on the BCO-DMO endpoint is limited. Additionally, the number of results on the endpoint is capped at 10,000 (common restriction for public SPARQL endpoints).
Mapping with NERC Vocabulary tool <-- The code is not public currently, but we will eventually make the app public.
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Education and training materials (related to oceans), Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS05 Atmosphere, DS06 Cross-discipline
Keywords: semantics of data, data ontology, oceanography, python, semantic web
Last updated: 02/05/2021
The oceans have no voice, but it gives us many signs of how much we need it. It is still unknown much of what is hidden beneath the surface of the sea.
Oceans and seas are one of the least explored parts of planet Earth. With our sea animal documentary app, we show you some touches of what we do know about species that live in sea ecosystems.
The deep sea creatures are so biodiverse with marine depths still quite unknown, that only 95% of the variety in blue ecosystems is unknown. Both plants and marine animals are a mystery when we dive for the first time, and the beauty that is observed in every corner floods and amazes those who have the fortune to contemplate it.
To continue enjoying and discovering the weird seas creatures we have created the best application of animal house documentary in which you can get information of all about cute aqua creatures such as beach urchin, oceanic lions, aqua monkeys, elephant seal, Atlantic otter, pacific snake, leatherback turtle, beach sponge, aquatic snail, watery fish, steller's oceanic cow, watery pig, turtle headed snake, see videos program on our social sea animal documentaries app.
Yes, our offshore creature documentaries video app is an application full of totally free hd episodes with the best images and graphic quality about the species that inhabit the sea and oceans such as the fearsome shark, Marin spider, loggerhead tortoise, green Marino, the gigantic whale, water anglerfish, hawksbill turtles, pond dinosaurs, the nice dolphin, water worm, leafy dragon, bay leopard, bay mammals, and a long catalog of animals that you will find in these documentaries.
It is necessary to raise awareness of the care of water creature ecosystems and the need to preserve creatures of the seas, specially species in danger of extinction, in order to avoid the deterioration of the seabed and the disappearance of species that are in danger of extinction like the beautiful whales.
If you want to learn a little more about the nature that inhabits the waterland, we recommend the these collection of nature world programs about the deepwater fish, pet horse, biggest turtles in the world, mythical monsters, mythical mammals, rabbit, California lion, male angler fish, tortoise swimming, flapjack octopus, reptile family, seal lions. Furthermore, programs of national geographic channels about seaworld whales, steller lion, underwater beasts, cartoon mammals, biggest brutes ever, giant worm, dragon slug, prehistoric beasts, weedy dragon, largest turtle, kemp's ridley turtles, and much more mysteries of the depths of the oceans.
Do not hesitate any longer, download free our deepwater scary aqua beast app and discover the impressive world that hides the tiny micro-organic families of the depth of the oceans.
The oceans have no voice, but it gives us many signs of how much we need it. It is still unknown much of what is hidden beneath the surface of the sea.
Oceans and seas are one of the least explored parts of planet Earth. With our sea animal documentary app, we show you some touches of what we do know about species that live in sea ecosystems.
The deep sea creatures are so biodiverse with marine depths still quite unknown, that only 95% of the variety in blue ecosystems is unknown. Both plants and marine animals are a mystery when we dive for the first time, and the beauty that is observed in every corner floods and amazes those who have the fortune to contemplate it.
To continue enjoying and discovering the weird seas creatures we have created the best application of animal house documentary in which you can get information of all about cute aqua creatures such as beach urchin, oceanic lions, aqua monkeys, elephant seal, Atlantic otter, pacific snake, leatherback turtle, beach sponge, aquatic snail, watery fish, steller's oceanic cow, watery pig, turtle headed snake, see videos program on our social sea animal documentaries app.
Yes, our offshore creature documentaries video app is an application full of totally free hd episodes with the best images and graphic quality about the species that inhabit the sea and oceans such as the fearsome shark, Marin spider, loggerhead tortoise, green Marino, the gigantic whale, water anglerfish, hawksbill turtles, pond dinosaurs, the nice dolphin, water worm, leafy dragon, bay leopard, bay mammals, and a long catalog of animals that you will find in these documentaries.
It is necessary to raise awareness of the care of water creature ecosystems and the need to preserve creatures of the seas, specially species in danger of extinction, in order to avoid the deterioration of the seabed and the disappearance of species that are in danger of extinction like the beautiful whales.
If you want to learn a little more about the nature that inhabits the waterland, we recommend the these collection of nature world programs about the deepwater fish, pet horse, biggest turtles in the world, mythical monsters, mythical mammals, rabbit, California lion, male angler fish, tortoise swimming, flapjack octopus, reptile family, seal lions. Furthermore, programs of national geographic channels about seaworld whales, steller lion, underwater beasts, cartoon mammals, biggest brutes ever, giant worm, dragon slug, prehistoric beasts, weedy dragon, largest turtle, kemp's ridley turtles, and much more mysteries of the depths of the oceans.
Do not hesitate any longer, download free our deepwater scary aqua beast app and discover the impressive world that hides the tiny micro-organic families of the depth of the oceans.
Technical contact email
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
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Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS06 Cross-discipline, DS12 Human activities
Keywords: education, mobile phone application, oceans
Last updated: 12/12/2021
Seabook - Fish identification guide (ODIS id: 3195)
Seabook is an app that makes it easy to find out what kind of fish, corals or creatures you've seen underwater!
First of all you can open the category you need: "Fish", "Creatures" or "Corals, Sponges, Plants". There are 78 identification groups of fish such as Sharks, Clownfishes, Butterflyfishes, Parrotfishes, Groupers, Jacks, Puffers and Filefishes, Frogfishes and many others. "Creatures" are grouped by Molluscs, Mammals, Echinoderm, Crustaceans, Reptiles, Jellyfishes and Worms. The category "Corals, Sponges, Plants" has a similar grouping: Corals, Sponges, Tunicata and Plants. The total number of groups and subgroups is 275, which you can open and identify the fish, creature or coral whose name you doubt.
The easiest way to explore is using our filters:
>> Select "Fish", "Creatures" or "Corals, Sponges, Plants".
>> Search by color, pattern, location, body shape, social behavior, tail fin shape, etc.
Or, if you know a scientific or common name, use the Direct Search feature.
>> Open the list of marine life that match the specified criteria and find the one you were looking for.
>> Enjoy the result: great photo, description, distribution, habitat, lifestyle, legal status, maximum size and depth, and more.
More than 1500 species among fish, sharks, rays, nudibranchs and other molluscs, crustaceans, echinoderms and etc.
Seabook is a great solution for diving safari: turn on offline mode and use the app even on safari or remote diving sites without an internet connection. To fill your logbooks about who you met underwater, you no longer need heavy books - everything you need is already in your smartphone.
Seabook is the perfect app for scuba divers, freedivers, snorkelers and aquarium enthusiasts who would like to discover what marine life they have met and learn more about them.
Seabook - Fish identification guide (ODIS id 3195)
Seabook is an app that makes it easy to find out what kind of fish, corals or creatures you've seen underwater!
First of all you can open the category you need: "Fish", "Creatures" or "Corals, Sponges, Plants". There are 78 identification groups of fish such as Sharks, Clownfishes, Butterflyfishes, Parrotfishes, Groupers, Jacks, Puffers and Filefishes, Frogfishes and many others. "Creatures" are grouped by Molluscs, Mammals, Echinoderm, Crustaceans, Reptiles, Jellyfishes and Worms. The category "Corals, Sponges, Plants" has a similar grouping: Corals, Sponges, Tunicata and Plants. The total number of groups and subgroups is 275, which you can open and identify the fish, creature or coral whose name you doubt.
The easiest way to explore is using our filters:
>> Select "Fish", "Creatures" or "Corals, Sponges, Plants".
>> Search by color, pattern, location, body shape, social behavior, tail fin shape, etc.
Or, if you know a scientific or common name, use the Direct Search feature.
>> Open the list of marine life that match the specified criteria and find the one you were looking for.
>> Enjoy the result: great photo, description, distribution, habitat, lifestyle, legal status, maximum size and depth, and more.
More than 1500 species among fish, sharks, rays, nudibranchs and other molluscs, crustaceans, echinoderms and etc.
Seabook is a great solution for diving safari: turn on offline mode and use the app even on safari or remote diving sites without an internet connection. To fill your logbooks about who you met underwater, you no longer need heavy books - everything you need is already in your smartphone.
Seabook is the perfect app for scuba divers, freedivers, snorkelers and aquarium enthusiasts who would like to discover what marine life they have met and learn more about them.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Belarus
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: Fish, Marine Species, coral, mobile phone application, sponges
Last updated: 11/12/2021
Seabook is an information and knowledge source for marine professionals, sailors as well as sea enthusiasts.
This easy-to-use, accessible-offline mobile app serves as a reference tool for key elements of Ship stability, Navigation, Shipmanagement, Shipboard Safety, COLREG and Marine engineering, and is designed for seafarers, cadets, maritime students and master mariners alike.
Seabook contains details on;
COLREG (International Regulations for Preventing Collisions at Sea)
GMDSS (Global Maritime Distress and Safety System)
Marine Meteorology
Shipboard Safety
Personal Health
International Code of Signals
Shipmangement & Business
Marine Engineering
Navigation at Sea
Ship Stability
Ropework
Country Flags
Knots
Seabook is an information and knowledge source for marine professionals, sailors as well as sea enthusiasts.
This easy-to-use, accessible-offline mobile app serves as a reference tool for key elements of Ship stability, Navigation, Shipmanagement, Shipboard Safety, COLREG and Marine engineering, and is designed for seafarers, cadets, maritime students and master mariners alike.
Seabook contains details on;
COLREG (International Regulations for Preventing Collisions at Sea)
GMDSS (Global Maritime Distress and Safety System)
Marine Meteorology
Shipboard Safety
Personal Health
International Code of Signals
Shipmangement & Business
Marine Engineering
Navigation at Sea
Ship Stability
Ropework
Country Flags
Knots
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Turkey
Host Countries: Turkey
Sea Region: no searegion defined
Themes: DS12 Human activities
Keywords: education, mobile phone application, navigation, seafarers, ship
Last updated: 13/12/2021
Carbonate chemistry with R
In 2003, Aurélien Proye and I put together seacarb, an R package that calculates various parameters of the carbonate system in seawater. The package was subsequently upgraded. In 2008, a new version (2.0) was built with the assistance of Héloïse Lavigne. Five additional functions were included to assist the design of perturbation experiments to investigate ocean acidification and other functions were revised in order to strictly follow the "Guide to best practices for ocean CO2 measurements" (Dickson et al., 2007). Seacarb uses equations mostly from the following sources:
Dickson A. G., Sabine C. L. & Christian J. R., 2007. Guide to best practices for ocean CO2 measurements. PICES Special Publication 3:1-191.
DOE, 1994. Handbook of methods for the analysis of the various parameters of the carbon dioxide system in sea water; version 2. Dickson, A. G. and Goyet, C., editors. ORNL/CDIAC-74, 1994.
Frankignoulle M., 1994. A complete set of buffer factors for acid/base CO2 system in seawater. Journal of Marine Systems 5: 111-118.
Orr J. C., Epitalon J.-M., Dickson A. G. & Gattuso J.-P., 2018. Routine uncertainty propagation for the marine carbon dioxide system. Marine Chemistry 207:84-107.
Zeebe R. E. & Wolf-Gladrow D. A., 2001. CO2 in seawater: equilibrium, kinetics, isotopes. Amsterdam: Elsevier, 346 pp.
A portion of the code has been adapted, with permission from the authors, from the Matlab files mentioned above. I am grateful to Richard Zeebe and Dieter Wolf-Gladrow for that. Héloïse Lavigne contributed a lot to seacarb in 2008 and 2009; this was critical to the launch of version 2.0 and subsequent updates. Portions of code and/or corrections have also been contributed by Jean-Marie Epitalon (2004, 2018), Bernard Gentili (2006), Karline Soetaert (2007) and Jim Orr (2007, 2010, 2018). Jean-Marie Epitalon considerably improved the code, leading to much faster calculations in version 3.0.
Orr et al. (2015) assessed seacarb together with other packages which calculate the seawater carbonate chemistry. In 2018, option to calculate uncertainty propagation was added (Orr et al., 2018).
Orr J. C., Epitalon J.-M., Dickson A. G. & Gattuso J.-P., 2018. Routine uncertainty propagation for the marine carbon dioxide system. Marine Chemistry 207:84-107. http://dx.doi.org/10.1016/j.marchem.2018.10.006
Orr J. C., Epitalon J.-M. & Gattuso J.-P., 2015. Comparison of ten packages that compute ocean carbonate chemistry. Biogeosciences 12:1483-1510. http://www.biogeosciences.net/12/1483/2015/
This program is provided free under the GNU General Public License (GNU GPL). It will be improved using the comments that I will receive. If you are new to R, please check the manuals and FAQs available on the R-project web site to get information on how to install R and the seacarb package on your system. Please only report and comment on seacarb, not on general problems related to R.
Carbonate chemistry with R
In 2003, Aurélien Proye and I put together seacarb, an R package that calculates various parameters of the carbonate system in seawater. The package was subsequently upgraded. In 2008, a new version (2.0) was built with the assistance of Héloïse Lavigne. Five additional functions were included to assist the design of perturbation experiments to investigate ocean acidification and other functions were revised in order to strictly follow the "Guide to best practices for ocean CO2 measurements" (Dickson et al., 2007). Seacarb uses equations mostly from the following sources:
Dickson A. G., Sabine C. L. & Christian J. R., 2007. Guide to best practices for ocean CO2 measurements. PICES Special Publication 3:1-191.
DOE, 1994. Handbook of methods for the analysis of the various parameters of the carbon dioxide system in sea water; version 2. Dickson, A. G. and Goyet, C., editors. ORNL/CDIAC-74, 1994.
Frankignoulle M., 1994. A complete set of buffer factors for acid/base CO2 system in seawater. Journal of Marine Systems 5: 111-118.
Orr J. C., Epitalon J.-M., Dickson A. G. & Gattuso J.-P., 2018. Routine uncertainty propagation for the marine carbon dioxide system. Marine Chemistry 207:84-107.
Zeebe R. E. & Wolf-Gladrow D. A., 2001. CO2 in seawater: equilibrium, kinetics, isotopes. Amsterdam: Elsevier, 346 pp.
A portion of the code has been adapted, with permission from the authors, from the Matlab files mentioned above. I am grateful to Richard Zeebe and Dieter Wolf-Gladrow for that. Héloïse Lavigne contributed a lot to seacarb in 2008 and 2009; this was critical to the launch of version 2.0 and subsequent updates. Portions of code and/or corrections have also been contributed by Jean-Marie Epitalon (2004, 2018), Bernard Gentili (2006), Karline Soetaert (2007) and Jim Orr (2007, 2010, 2018). Jean-Marie Epitalon considerably improved the code, leading to much faster calculations in version 3.0.
Orr et al. (2015) assessed seacarb together with other packages which calculate the seawater carbonate chemistry. In 2018, option to calculate uncertainty propagation was added (Orr et al., 2018).
Orr J. C., Epitalon J.-M., Dickson A. G. & Gattuso J.-P., 2018. Routine uncertainty propagation for the marine carbon dioxide system. Marine Chemistry 207:84-107. http://dx.doi.org/10.1016/j.marchem.2018.10.006
Orr J. C., Epitalon J.-M. & Gattuso J.-P., 2015. Comparison of ten packages that compute ocean carbonate chemistry. Biogeosciences 12:1483-1510. http://www.biogeosciences.net/12/1483/2015/
This program is provided free under the GNU General Public License (GNU GPL). It will be improved using the comments that I will receive. If you are new to R, please check the manuals and FAQs available on the R-project web site to get information on how to install R and the seacarb package on your system. Please only report and comment on seacarb, not on general problems related to R.
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Types: Software (ocean related)
Languages: English
Countries: France
Host Countries: France
Sea Region: World
Themes: DS02 Chemical oceanography
Keywords: Marine, carbon dioxide, carbonate system, ocean CO2 measurements, r-package
Last updated: 09/05/2021
Try SeaConditions and become Premium's user: more services, cloud support, five-days and personalised forecasts.
Access to the sea forecasts is going to be easier, more intuitive, faster and more accurate thanks to SeaConditions Premium purchasable in these ways:
- annual subscription for € 14,99 (auto-renewable);
- monthly subscription for € 2,99 (auto-renewable).
Download SeaConditions, it is a great way to get high resolution sea forecasts on your smartphone and tablet wherever you are. - http://www.sea-conditions.com/en/terms-conditions
SeaConditions Premium introduces new services:
- synoptic tables for short forecast representations;
- favourite locations and display settings stored in the cloud;
- five-days and personalised forecasts for the Mediterranean Sea.
SeaConditions is a unique and fully integrated access point to the meteorological and oceanographic forecasts for the Mediterranean Sea.
Scuba divers, freedivers, surfers, kitesurfers, fishermen, sailing enthusiasts, beach tourists and anyone else who enjoys sea, can find the best sea forecasts for 5 days ahead with a frequency of 3 hours for the first 2.5 days and of 6 hours for the following days.
This weather forecasting service combines the effort of skilled researchers in weather and oceanographic forecasts with the latest developments in Information Technology. The high resolution sea forecasts include:sea surface temperature, surface currents, significant wave height, wave period and direction. The weather forecasts include: air temperature, surface atmospheric pressure, precipitation, cloud cover, wind at 10 meters. Satellite observations of chlorophyll concentration and water transparency are also available. In future updates alerts of weather and sea conditions in your favourite locations will be provided as well as personalised weather reports.
SeaConditions officially supported the sailing teams of several regattas including the 30th regatta Brindisi-Corfù and for the Rimini-Corfù-Rimini.
The free version of the app shows the forecasts for the next 24 hours, while the premium version shows the forecasts for 5 days.
By clicking on "Install" or "Update", the user declares to have read and accepted "Protection of personal data" and "Terms and Conditions" available on the web site www.sea-conditions.com.
Try SeaConditions and become Premium's user: more services, cloud support, five-days and personalised forecasts.
Access to the sea forecasts is going to be easier, more intuitive, faster and more accurate thanks to SeaConditions Premium purchasable in these ways:
- annual subscription for € 14,99 (auto-renewable);
- monthly subscription for € 2,99 (auto-renewable).
Download SeaConditions, it is a great way to get high resolution sea forecasts on your smartphone and tablet wherever you are. - http://www.sea-conditions.com/en/terms-conditions
SeaConditions Premium introduces new services:
- synoptic tables for short forecast representations;
- favourite locations and display settings stored in the cloud;
- five-days and personalised forecasts for the Mediterranean Sea.
SeaConditions is a unique and fully integrated access point to the meteorological and oceanographic forecasts for the Mediterranean Sea.
Scuba divers, freedivers, surfers, kitesurfers, fishermen, sailing enthusiasts, beach tourists and anyone else who enjoys sea, can find the best sea forecasts for 5 days ahead with a frequency of 3 hours for the first 2.5 days and of 6 hours for the following days.
This weather forecasting service combines the effort of skilled researchers in weather and oceanographic forecasts with the latest developments in Information Technology. The high resolution sea forecasts include:sea surface temperature, surface currents, significant wave height, wave period and direction. The weather forecasts include: air temperature, surface atmospheric pressure, precipitation, cloud cover, wind at 10 meters. Satellite observations of chlorophyll concentration and water transparency are also available. In future updates alerts of weather and sea conditions in your favourite locations will be provided as well as personalised weather reports.
SeaConditions officially supported the sailing teams of several regattas including the 30th regatta Brindisi-Corfù and for the Rimini-Corfù-Rimini.
The free version of the app shows the forecasts for the next 24 hours, while the premium version shows the forecasts for 5 days.
By clicking on "Install" or "Update", the user declares to have read and accepted "Protection of personal data" and "Terms and Conditions" available on the web site www.sea-conditions.com.
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Italy
Sea Region: Mediterranean Sea
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere
Keywords: Chlorophyll, Modelling, mobile phone application, satellite data, weather, weather foreast
Last updated: 11/12/2021
SeaDataCloud DIVA tools and interfaces (ODIS id: 1927)
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: data processing, flow cytometry, oceanography, python
Last updated: 01/05/2021
State Estimation and Analysis in PYthon (SEAPY). Tools for working with ocean models and data.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere
Keywords: Modelling, data analysis, oceanography, python, roms
Last updated: 01/05/2021
Search and Subsetting web application - Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (ODIS id: 2894)
Search and Subsetting web application - Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation
The CALIPSO Search and Subsetting web application enables a more sophisticated approach to selecting and ordering CALIPSO lidar data by date, time and geolocation.
We highly encourage that you send us your feedback using the URL at the bottom of the page; every bit of feedback will allow us to address issues and add enhancements in future releases.
This web application is a collaborative effort of the CALIPSO and ASDC Data Management Teams.
Search and Subsetting web application - Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (ODIS id 2894)
Search and Subsetting web application - Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation
Original (non-English) name
Acronym
Search and Subsetting web application - CALIPSO
Citation
Abstract
The CALIPSO Search and Subsetting web application enables a more sophisticated approach to selecting and ordering CALIPSO lidar data by date, time and geolocation.
We highly encourage that you send us your feedback using the URL at the bottom of the page; every bit of feedback will allow us to address issues and add enhancements in future releases.
This web application is a collaborative effort of the CALIPSO and ASDC Data Management Teams.
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Types: Software (ocean related)
Languages: English
Countries: France, United States
Host Countries: United States
Sea Region: World
Themes: DS05 Atmosphere, DS10 Environment
Keywords: Satellite, air quality, climate, satellite data, weather
Last updated: 10/11/2021
Search and Subsetting Web Applications - NOAA Measurement of Pollution in the Troposphere project (ODIS id: 2895)
Search and Subsetting Web Applications - NOAA Measurement of Pollution in the Troposphere project
The data subset options include being able to select data product types and choose a down-selection of parameters to extract. Data parameters have been grouped together based on the type and are listed in the left-most window.
If you choose not to select additional parameters, then a default package is put into the resulting output file. This default package includes parameters of interest to most MOPITT users including geolocation information, retrieved CO products, a priori CO profiles and retrieval averaging kernels. Any selected additional parameter grouping(s) is shown in the center window. The far-right window displays the complete listing of the data parameters that will be included in your output file.
Search and Subsetting Web Applications - NOAA Measurement of Pollution in the Troposphere project (ODIS id 2895)
Search and Subsetting Web Applications - NOAA Measurement of Pollution in the Troposphere project
Original (non-English) name
Acronym
Search and Subsetting Web Applications - NOAA-MOPITT
Citation
Abstract
The data subset options include being able to select data product types and choose a down-selection of parameters to extract. Data parameters have been grouped together based on the type and are listed in the left-most window.
If you choose not to select additional parameters, then a default package is put into the resulting output file. This default package includes parameters of interest to most MOPITT users including geolocation information, retrieved CO products, a priori CO profiles and retrieval averaging kernels. Any selected additional parameter grouping(s) is shown in the center window. The far-right window displays the complete listing of the data parameters that will be included in your output file.
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please check the record details page
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Contributing data to
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Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: no searegion defined
Themes: DS05 Atmosphere, DS10 Environment
Keywords: Earth Science data, Earth observation, carbon dioxide, pollution
Last updated: 10/11/2021
Sea Sector Maritime Courses for Sailors (ODIS id: 3168)
Sea Sector is an information source for marine professionals, sailors and sea enthusiasts with learning solutions that build up your nautical knowledge through maritime courses that follow STCW standards of navigation and requirements set by IMO (International Maritime Organization).
Easy distance learning. Remote education puts seafarers in control of their maritime training – especially suitable for everyone in the maritime industry since you, as mariners, often spend time away from home. With our courses seafarers can study when, where and how they choose – even without access to the Internet.
Reader-friendly lessons. All our articles are presented to you in a simple, practical and easy-to-read format. STCW courses, collision regulations (COLREGs) and marine traffic rules simply explained and presented to you in an uncomplicated, practical and easy-to-read format. This maritime knowledge application provides quality education to marine students in the most effective and helpful way!
Systemized knowledge. You can bookmark articles or mark them as complete and track the progress of courses you are currently taking or those you have already completed. Find STCW courses that form a part of the compulsory basic safety training for all seafarers as well as other additional courses to expand your maritime knowledge – from basic maritime English to collision regulations (COLREGs).
Relevant material. Heighten your understanding of different types of manoeuvres of a vessel and learn how to navigate through marine traffic to become a successful marine professional in no time. Save your time and energy with our well-structured and simplified study materials for sailors and become a skilful seaman with a vast knowledge of personal survivor techniques, firefighting, first aid and personal safety and social responsibility.
Essential maritime courses. Find the STCW personal survival techniques course, firefighting, elementary first aid, personal safety and social responsibility course, all of which form part of the compulsory basic safety training for all seafarers. Alongside with these mandatory courses for sailors you can find meteorology, maritime navigation, COLREG maneuvers and basic maritime English courses to further expand your marine knowledge and become an expert on nautical terminology and seamen skills.
Maritime dictionary. With all of the most common terms on marine industry. Our maritime dictionary contains over 2,000 straightforward definitions. These include shipping, meteorological, tanker terminologies and maritime transport, sailing and sea navigation definitions.
Maritime news. Sea Sector keeps you in the loop about maritime matters and news for the shipping industry, maritime professionals, and enthusiasts. Read new nautical information on various aspects of the marine world on a daily basis.
Join thousands of satisfied mariners and educate yourself to become a skillful and more competent seaman.
Sea Sector Maritime Courses for Sailors (ODIS id 3168)
Sea Sector is an information source for marine professionals, sailors and sea enthusiasts with learning solutions that build up your nautical knowledge through maritime courses that follow STCW standards of navigation and requirements set by IMO (International Maritime Organization).
Easy distance learning. Remote education puts seafarers in control of their maritime training – especially suitable for everyone in the maritime industry since you, as mariners, often spend time away from home. With our courses seafarers can study when, where and how they choose – even without access to the Internet.
Reader-friendly lessons. All our articles are presented to you in a simple, practical and easy-to-read format. STCW courses, collision regulations (COLREGs) and marine traffic rules simply explained and presented to you in an uncomplicated, practical and easy-to-read format. This maritime knowledge application provides quality education to marine students in the most effective and helpful way!
Systemized knowledge. You can bookmark articles or mark them as complete and track the progress of courses you are currently taking or those you have already completed. Find STCW courses that form a part of the compulsory basic safety training for all seafarers as well as other additional courses to expand your maritime knowledge – from basic maritime English to collision regulations (COLREGs).
Relevant material. Heighten your understanding of different types of manoeuvres of a vessel and learn how to navigate through marine traffic to become a successful marine professional in no time. Save your time and energy with our well-structured and simplified study materials for sailors and become a skilful seaman with a vast knowledge of personal survivor techniques, firefighting, first aid and personal safety and social responsibility.
Essential maritime courses. Find the STCW personal survival techniques course, firefighting, elementary first aid, personal safety and social responsibility course, all of which form part of the compulsory basic safety training for all seafarers. Alongside with these mandatory courses for sailors you can find meteorology, maritime navigation, COLREG maneuvers and basic maritime English courses to further expand your marine knowledge and become an expert on nautical terminology and seamen skills.
Maritime dictionary. With all of the most common terms on marine industry. Our maritime dictionary contains over 2,000 straightforward definitions. These include shipping, meteorological, tanker terminologies and maritime transport, sailing and sea navigation definitions.
Maritime news. Sea Sector keeps you in the loop about maritime matters and news for the shipping industry, maritime professionals, and enthusiasts. Read new nautical information on various aspects of the marine world on a daily basis.
Join thousands of satisfied mariners and educate yourself to become a skillful and more competent seaman.
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Types: Software (ocean related)
Languages: English
Countries: Croatia
Host Countries: Croatia
Sea Region: World
Themes: DS12 Human activities
Keywords: International Maritime Organization, STCW standards, Training and education, education, marine professionals, maritime knowledge application, maritime training, mobile phone application
Last updated: 23/12/2021
Semi-implicit Cross-scale Hydroscience Integrated System Model (ODIS id: 1883)
http://ccrm.vims.edu/schismweb/
SCHISM modeling system is a derivative work from the original SELFE model (v3.1dc as of Dec. 13 , 20 ...
more
Semi-implicit Cross-scale Hydroscience Integrated System Model
SCHISM modeling system is a derivative work from the original SELFE model (v3.1dc as of Dec. 13 , 2014). SCHISM has been implemented by Dr. Joseph Zhang (College of William & Mary) and other developers around the world, and licensed under Apache. SELFE was developed at the Oregon Health Sciences University. However, there are now significant differences between the two models.
SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model) is an open-source community-supported modeling system based on unstructured grids, designed for seamless simulation of 3D baroclinic circulation across creek-lake-river-estuary-shelf-ocean scales. It uses a highly efficient and accurate semi-implicit finite-element/finite-volume method with Eulerian-Lagrangian algorithm to solve the Navier-Stokes equations (in hydrostatic form), in order to addresses a wide range of physical and biological processes. The numerical algorithm judiciously mixes higher-order with lower-order methods, to obtain stable and accurate results in an efficient way. Mass conservation is enforced with the finite-volume transport algorithm. It also naturally incorporates wetting and drying of tidal flats.
The SCHISM system has been extensively tested against standard ocean/coastal benchmarks and applied to a number of regional seas/bays/estuaries around the world (see 'Case study') in the context of general circulation, tsunami and storm-surge inundation, water quality, oil spill, sediment transport, coastal ecology, and wave-current interaction. SCHISM now includes many upgrades of the original SELFE code (v3.1dc); the major differences are summarized in Zhang et al. (Seamless cross-scale modeling with SCHISM, Ocean Modelling, 2016; see Publications).
Semi-implicit Cross-scale Hydroscience Integrated System Model (ODIS id 1883)
Semi-implicit Cross-scale Hydroscience Integrated System Model
Original (non-English) name
Acronym
SCHISM
Citation
SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model) is a derivative product built from the original SELFE (v3.1dc; Zhang and Baptista 2008) and distributed with an open-source Apache v2 license, with many enhancements and upgrades including new extension to large-scale eddying regime and a seamless cross-scale capability from creek to ocean (Zhang et al. 2016).
Abstract
SCHISM modeling system is a derivative work from the original SELFE model (v3.1dc as of Dec. 13 , 2014). SCHISM has been implemented by Dr. Joseph Zhang (College of William & Mary) and other developers around the world, and licensed under Apache. SELFE was developed at the Oregon Health Sciences University. However, there are now significant differences between the two models.
SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model) is an open-source community-supported modeling system based on unstructured grids, designed for seamless simulation of 3D baroclinic circulation across creek-lake-river-estuary-shelf-ocean scales. It uses a highly efficient and accurate semi-implicit finite-element/finite-volume method with Eulerian-Lagrangian algorithm to solve the Navier-Stokes equations (in hydrostatic form), in order to addresses a wide range of physical and biological processes. The numerical algorithm judiciously mixes higher-order with lower-order methods, to obtain stable and accurate results in an efficient way. Mass conservation is enforced with the finite-volume transport algorithm. It also naturally incorporates wetting and drying of tidal flats.
The SCHISM system has been extensively tested against standard ocean/coastal benchmarks and applied to a number of regional seas/bays/estuaries around the world (see 'Case study') in the context of general circulation, tsunami and storm-surge inundation, water quality, oil spill, sediment transport, coastal ecology, and wave-current interaction. SCHISM now includes many upgrades of the original SELFE code (v3.1dc); the major differences are summarized in Zhang et al. (Seamless cross-scale modeling with SCHISM, Ocean Modelling, 2016; see Publications).
Technical contact email
please check the record details page
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Types
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: 3D baroclinic cross-scale lake-river-estuary-plume-shelf-ocean circulations, Modelling, Short wave-current interaction, oil spill response planning, sediment transport, storm surge, tsunami
Last updated: 25/04/2021
Semi-implicit Cross-scale Hydroscience Integrated System Model (ODIS id: 1789)
https://github.com/schism-dev
SCHISM modeling system is a derivative work from the original SELFE model (v3.1dc as of Dec. 13 , 20 ...
more
Semi-implicit Cross-scale Hydroscience Integrated System Model
SCHISM modeling system is a derivative work from the original SELFE model (v3.1dc as of Dec. 13 , 2014). SCHISM has been implemented by Dr. Joseph Zhang (College of William & Mary) and other developers around the world, and licensed under Apache. SELFE was developed at the Oregon Health Sciences University. However, there are now significant differences between the two models.
SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model) is an open-source community-supported modeling system based on unstructured grids, designed for seamless simulation of 3D baroclinic circulation across creek-lake-river-estuary-shelf-ocean scales. It uses a highly efficient and accurate semi-implicit finite-element/finite-volume method with Eulerian-Lagrangian algorithm to solve the Navier-Stokes equations (in hydrostatic form), in order to addresses a wide range of physical and biological processes. The numerical algorithm judiciously mixes higher-order with lower-order methods, to obtain stable and accurate results in an efficient way. Mass conservation is enforced with the finite-volume transport algorithm. It also naturally incorporates wetting and drying of tidal flats.
The SCHISM system has been extensively tested against standard ocean/coastal benchmarks and applied to a number of regional seas/bays/estuaries around the world (see 'Case study') in the context of general circulation, tsunami and storm-surge inundation, water quality, oil spill, sediment transport, coastal ecology, and wave-current interaction. SCHISM now includes many upgrades of the original SELFE code (v3.1dc); the major differences are summarized in Zhang et al. (Seamless cross-scale modeling with SCHISM, Ocean Modelling, 2016; see Publications).
Semi-implicit Cross-scale Hydroscience Integrated System Model (ODIS id 1789)
Semi-implicit Cross-scale Hydroscience Integrated System Model
Original (non-English) name
Acronym
SCHISM
Citation
SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model) is a derivative product built from the original SELFE (v3.1dc; Zhang and Baptista 2008) and distributed with an open-source Apache v2 license, with many enhancements and upgrades including new extension to large-scale eddying regime and a seamless cross-scale capability from creek to ocean (Zhang et al. 2016).
Zhang, Y. and Baptista, A.M. (2008) SELFE: A semi-implicit Eulerian-Lagrangian finite-element model for cross-scale ocean circulation", Ocean Modelling, 21(3-4), 71-96.
Zhang, Y., Ye, F., Stanev, E.V., Grashorn, S. (2016) Seamless cross-scale modeling with SCHISM, Ocean Modelling, 102, 64-81.
Abstract
SCHISM modeling system is a derivative work from the original SELFE model (v3.1dc as of Dec. 13 , 2014). SCHISM has been implemented by Dr. Joseph Zhang (College of William & Mary) and other developers around the world, and licensed under Apache. SELFE was developed at the Oregon Health Sciences University. However, there are now significant differences between the two models.
SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model) is an open-source community-supported modeling system based on unstructured grids, designed for seamless simulation of 3D baroclinic circulation across creek-lake-river-estuary-shelf-ocean scales. It uses a highly efficient and accurate semi-implicit finite-element/finite-volume method with Eulerian-Lagrangian algorithm to solve the Navier-Stokes equations (in hydrostatic form), in order to addresses a wide range of physical and biological processes. The numerical algorithm judiciously mixes higher-order with lower-order methods, to obtain stable and accurate results in an efficient way. Mass conservation is enforced with the finite-volume transport algorithm. It also naturally incorporates wetting and drying of tidal flats.
The SCHISM system has been extensively tested against standard ocean/coastal benchmarks and applied to a number of regional seas/bays/estuaries around the world (see 'Case study') in the context of general circulation, tsunami and storm-surge inundation, water quality, oil spill, sediment transport, coastal ecology, and wave-current interaction. SCHISM now includes many upgrades of the original SELFE code (v3.1dc); the major differences are summarized in Zhang et al. (Seamless cross-scale modeling with SCHISM, Ocean Modelling, 2016; see Publications).
Technical contact email
please check the record details page
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Countries owning the source
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Themes
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography, DS03 Physical oceanography
Keywords: MODIS, Modelling, Navier-Stokes equations, numerical models, oceanography
Last updated: 06/05/2021
SeNtinel Application Platform - European Space Agency (ODIS id: 2814)
SeNtinel Application Platform - European Space Agency
A common architecture for all Sentinel Toolboxes is being jointly developed by Brockmann Consult, SkyWatch and C-S called the Sentinel Application Platform (SNAP).
The SNAP architecture is ideal for Earth Observation processing and analysis due to the following technological innovations: Extensibility, Portability, Modular Rich Client Platform, Generic EO Data Abstraction, Tiled Memory Management, and a Graph Processing Framework.
SeNtinel Application Platform - European Space Agency (ODIS id 2814)
SeNtinel Application Platform - European Space Agency
Original (non-English) name
Acronym
SNAP - ESA
Citation
Abstract
A common architecture for all Sentinel Toolboxes is being jointly developed by Brockmann Consult, SkyWatch and C-S called the Sentinel Application Platform (SNAP).
The SNAP architecture is ideal for Earth Observation processing and analysis due to the following technological innovations: Extensibility, Portability, Modular Rich Client Platform, Generic EO Data Abstraction, Tiled Memory Management, and a Graph Processing Framework.
Types: Software (ocean related)
Languages: English
Countries: REGIONAL
Host Countries: REGIONAL
Sea Region: World
Themes: DS10 Environment
Keywords: data analysis, data visualization, earth-science, observation data
Last updated: 01/11/2021
SEQUOIA data assimilation platform (ODIS id: 1843)
A platform for joint assimilation to all developments in data assimilation to SIROCCO, SEQUOIA system (SEQUential Optimization, Initialization and Analysis) has been developed since 2002. It benefit from the legacy system SOFA (System for Ocean Forecasting and Analysis) used in various stages of development by several operational systems: MERCATOR (De Mey, 1998), MFS (De Mey and Benkiran 2002) ADRICOSM (Castellari and al., 2006).
In addition to implementation according to current standards (Fortran-95, modularity, etc.) SEQUOIA adapts equally to structured grids (finite difference) or not (elements / finite volume) via a generalized grid system. Its streamlined interface with the digital model enables it to drive any model (currently S model, MOG2D / T-UGOm and POLCOMS are interfaced, and other models are being considered). The code also manages the overall simulation on cluster PCs or remote machine.
The system analysis interchangeable cores can implement several assimilation schemes. These cores are part of SEQUOIA and have the same status – free software, access to sources, GNU GPL. Three analytical cores have been developed to date for SEQUOIA:
Mantaray, a core EOFs 3-D near SEEK (used as part of the thesis of G. and J. Jordà Lamouroux and several post-docs)
SOFA, a core EOFs 1-D which incorporates the ideas of the original code SOFA mentioned above (used in the industrial and operational partnerships)
BELUGA, a full row of core fixed in the dual space.
Typically, we use SEQUOIA in the following modes, although other uses are possible a priori:
Ensemble Optimal Interpolation (ENOI) – to order reduced with Mantaray analysis cores or SOFA
Ensemble Kalman Filter (EnKF) and Ensemble Kalman Smoother (EnKS) with the BELUGA analysis core.
A platform for joint assimilation to all developments in data assimilation to SIROCCO, SEQUOIA system (SEQUential Optimization, Initialization and Analysis) has been developed since 2002. It benefit from the legacy system SOFA (System for Ocean Forecasting and Analysis) used in various stages of development by several operational systems: MERCATOR (De Mey, 1998), MFS (De Mey and Benkiran 2002) ADRICOSM (Castellari and al., 2006).
In addition to implementation according to current standards (Fortran-95, modularity, etc.) SEQUOIA adapts equally to structured grids (finite difference) or not (elements / finite volume) via a generalized grid system. Its streamlined interface with the digital model enables it to drive any model (currently S model, MOG2D / T-UGOm and POLCOMS are interfaced, and other models are being considered). The code also manages the overall simulation on cluster PCs or remote machine.
The system analysis interchangeable cores can implement several assimilation schemes. These cores are part of SEQUOIA and have the same status – free software, access to sources, GNU GPL. Three analytical cores have been developed to date for SEQUOIA:
Mantaray, a core EOFs 3-D near SEEK (used as part of the thesis of G. and J. Jordà Lamouroux and several post-docs)
SOFA, a core EOFs 1-D which incorporates the ideas of the original code SOFA mentioned above (used in the industrial and operational partnerships)
BELUGA, a full row of core fixed in the dual space.
Typically, we use SEQUOIA in the following modes, although other uses are possible a priori:
Ensemble Optimal Interpolation (ENOI) – to order reduced with Mantaray analysis cores or SOFA
Ensemble Kalman Filter (EnKF) and Ensemble Kalman Smoother (EnKS) with the BELUGA analysis core.
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Types: Software (ocean related)
Languages: English
Countries: France
Host Countries: France
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, data assimilation, fortran
Last updated: 13/05/2021
Studies otolith shape variation among fish populations. Otoliths are calcified structures found in the inner ear of teleost fish and their shape has been known to vary among several fish populations and stocks, making them very useful in taxonomy, species identification and to study geographic variations.
ShapeR is an open source software package that runs on the R platform and is specifically designed to study otolith shape variation among fish populations. The package extends previously described software used for otolith shape analysis by allowing the user to automatically extract closed contour outlines from a large number of images, perform smoothing to eliminate pixel noise, choose from conducting either a Fourier or Wavelet transform to the outlines and visualize the mean shape. The output of the package are independent Fourier or Wavelet coefficients which can be directly imported into a wide range of statistical packages in R. The package might prove useful in studies of any two dimensional objects.
Studies otolith shape variation among fish populations. Otoliths are calcified structures found in the inner ear of teleost fish and their shape has been known to vary among several fish populations and stocks, making them very useful in taxonomy, species identification and to study geographic variations.
ShapeR is an open source software package that runs on the R platform and is specifically designed to study otolith shape variation among fish populations. The package extends previously described software used for otolith shape analysis by allowing the user to automatically extract closed contour outlines from a large number of images, perform smoothing to eliminate pixel noise, choose from conducting either a Fourier or Wavelet transform to the outlines and visualize the mean shape. The output of the package are independent Fourier or Wavelet coefficients which can be directly imported into a wide range of statistical packages in R. The package might prove useful in studies of any two dimensional objects.
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Types: Software (ocean related)
Languages: English
Countries: Iceland
Host Countries: Iceland
Sea Region: North Atlantic Ocean
Themes: DS01 Biological oceanography, DS11 Fisheries and aquaculture
Keywords: Fish, data analysis, fish populations, fish stocks, otolith shape analysis, otoliths, r-package
Last updated: 22/04/2021
Sharktivity provides realtime public beach closures and white shark sightings and detections on the east coast with a focus on Cape Cod. Sharks are automatically detected via acoustic and satellite tags bolstered by human observations from trained beach observers, AWSC's survey team, and the public. Public sightings are reviewed and moderated by AWSC staff prior to distribution.
The Atlantic White Shark Conservancy Sharktivity App was developed in collaboration with the Massachusetts Division of Marine Fisheries, the Cape Cod National Seashore, and officials from Cape Cod and South Shore towns to raise awareness of the presence of white sharks off our coast.
The App sightings are fed by researchers, safety officials, and users that upload photos for confirmation. By enabling App users to report shark sightings and upload photos for confirmation, we are effectively crowd-sourcing critical data points on where sharks are spotted so as to reduce encounters and promote safety. Data from sharks with acoustic tags and Smart Position and Temperature Tags (SPOT) are also available on the App.
Sharktivity provides realtime public beach closures and white shark sightings and detections on the east coast with a focus on Cape Cod. Sharks are automatically detected via acoustic and satellite tags bolstered by human observations from trained beach observers, AWSC's survey team, and the public. Public sightings are reviewed and moderated by AWSC staff prior to distribution.
The Atlantic White Shark Conservancy Sharktivity App was developed in collaboration with the Massachusetts Division of Marine Fisheries, the Cape Cod National Seashore, and officials from Cape Cod and South Shore towns to raise awareness of the presence of white sharks off our coast.
The App sightings are fed by researchers, safety officials, and users that upload photos for confirmation. By enabling App users to report shark sightings and upload photos for confirmation, we are effectively crowd-sourcing critical data points on where sharks are spotted so as to reduce encounters and promote safety. Data from sharks with acoustic tags and Smart Position and Temperature Tags (SPOT) are also available on the App.
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Types: Maps and atlases (geospatial products), Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: Atlantic Ocean
Themes: DS01 Biological oceanography, DS06 Cross-discipline, DS12 Human activities
Keywords: WebGIS, citizen science, conservation, mobile phone application, open access, sharks
Last updated: 12/10/2021
The new OCEARCH Shark Tracker lets you explore the migrations of sharks and other marine animals that have been tagged with state of the art satellite tracking technology.
OCEARCH is on a mission to ensure abundant oceans for future generations and you’re invited to learn alongside our science team through our OCEARCH Shark Tracker!
Sharks are the balance keepers of the ocean and the path to healthy, abundant oceans goes through them. It is critical that we understand the complete life history of these apex predators so that responsible management policies can be enacted to protect them.
OCEARCH facilitates unprecedented research by supporting leading researchers and institutions seeking to attain groundbreaking data on the biology and health of sharks, in conjunction with basic research on shark life history and migration. Data gathered from each animal on the Tracker is being used by scientists and institutions around the world to help protect each species and our oceans as a whole - and now you can track your favorite sharks.
The new OCEARCH Shark Tracker lets you explore the migrations of sharks and other marine animals that have been tagged with state of the art satellite tracking technology.
OCEARCH is on a mission to ensure abundant oceans for future generations and you’re invited to learn alongside our science team through our OCEARCH Shark Tracker!
Sharks are the balance keepers of the ocean and the path to healthy, abundant oceans goes through them. It is critical that we understand the complete life history of these apex predators so that responsible management policies can be enacted to protect them.
OCEARCH facilitates unprecedented research by supporting leading researchers and institutions seeking to attain groundbreaking data on the biology and health of sharks, in conjunction with basic research on shark life history and migration. Data gathered from each animal on the Tracker is being used by scientists and institutions around the world to help protect each species and our oceans as a whole - and now you can track your favorite sharks.
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: migratory species, mobile phone application, sharks
Last updated: 12/12/2021
Welcome to the online tool for prediction of shingle beach profiles under the influence of bi-modal sea states
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United Kingdom
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, data analysis, sea state
Last updated: 26/04/2021
Shipboard ADCP Data Acquisition System - University of Hawaii (ODIS id: 1782)
Shipboard ADCP Data Acquisition System - University of Hawaii
Our shipboard ADCP data acquisition system is called University of Hawaii Data Acquisition System, or UHDAS. (It is pronounced 'U. H. Das'; we didn't put enough thought into naming it to arrive at a good acronym, so this is what we are stuck with). It is much more than a program; it is a full Linux computer system configured to acquire, process, and serve data from any number of shipboard ADCP instruments together with the essential ancillary measurements of the ship's position and heading from any number of navigation devices. To learn more, see the sample snapshot of the on-board UHDAS web site from one of the ships on which it is installed.
The automated processing executed by UHDAS several times per hour uses our ADCP data processing software, generally known as CODAS (originally meaning Common Oceanographic Data Access System, referring to its core database component). This software is also used in post-processing ADCP datasets: for hand-editing, filling gaps in sensor inputs, determining and applying calibration factors, etc.
Extensive documentation is provided for both UHDAS and CODAS. It covers installation and use of CODAS processing software, and operation of a UHDAS system.
Shipboard ADCP Data Acquisition System - University of Hawaii (ODIS id 1782)
Shipboard ADCP Data Acquisition System - University of Hawaii
Original (non-English) name
Acronym
UHDAS
Citation
Abstract
Our shipboard ADCP data acquisition system is called University of Hawaii Data Acquisition System, or UHDAS. (It is pronounced 'U. H. Das'; we didn't put enough thought into naming it to arrive at a good acronym, so this is what we are stuck with). It is much more than a program; it is a full Linux computer system configured to acquire, process, and serve data from any number of shipboard ADCP instruments together with the essential ancillary measurements of the ship's position and heading from any number of navigation devices. To learn more, see the sample snapshot of the on-board UHDAS web site from one of the ships on which it is installed.
The automated processing executed by UHDAS several times per hour uses our ADCP data processing software, generally known as CODAS (originally meaning Common Oceanographic Data Access System, referring to its core database component). This software is also used in post-processing ADCP datasets: for hand-editing, filling gaps in sensor inputs, determining and applying calibration factors, etc.
Extensive documentation is provided for both UHDAS and CODAS. It covers installation and use of CODAS processing software, and operation of a UHDAS system.
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: ADCP, current speed and direction, ocean circulation, vessel
Last updated: 04/05/2021
Single-species size-spectrum simulator - Centre for Ocean Life (ODIS id: 2252)
Single-species size-spectrum simulator - Centre for Ocean Life
This applet simulates the size distribution of a single species (blue) subjected to fishing (red). The filled area is the mature individuals and the colour whether recruitment is high (green) or low (red). The species is characterized by the asymptotic (maximum) size (W∞) and a set of non-dimensional parameters.
The model is based on metabolic scaling at the level of the individual. The full set of assumptions behind the model are documented in Andersen and Beyer (2013).
Single-species size-spectrum simulator - Centre for Ocean Life (ODIS id 2252)
Single-species size-spectrum simulator - Centre for Ocean Life
Original (non-English) name
Acronym
Citation
Abstract
This applet simulates the size distribution of a single species (blue) subjected to fishing (red). The filled area is the mature individuals and the colour whether recruitment is high (green) or low (red). The species is characterized by the asymptotic (maximum) size (W∞) and a set of non-dimensional parameters.
The model is based on metabolic scaling at the level of the individual. The full set of assumptions behind the model are documented in Andersen and Beyer (2013).
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Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Software (ocean related)
Languages: English
Countries: Denmark
Host Countries: Denmark
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: biomass, fishing detection models, fishing effort, sustainable fisheries
Last updated: 05/09/2021
Single stock size spectrum calculator - Centre for Ocean Life (ODIS id: 2251)
Single stock size spectrum calculator - Centre for Ocean Life
Calculate all demographic quantities and the response to fishing of single stock using the procedures described in: K.H.Andersen (2019) Fish Ecology, Evolution, and Exploitation Princeton University Press.
Single stock size spectrum calculator - Centre for Ocean Life (ODIS id 2251)
Single stock size spectrum calculator - Centre for Ocean Life
Original (non-English) name
Acronym
Citation
Abstract
Calculate all demographic quantities and the response to fishing of single stock using the procedures described in: K.H.Andersen (2019) Fish Ecology, Evolution, and Exploitation Princeton University Press.
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Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Software (ocean related)
Languages: English
Countries: Denmark
Host Countries: Denmark
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: Modelling, biomass, fisheries
Last updated: 05/09/2021
SIPEIN Smart - Institute for Marine and Coastal Research of Colombia (ODIS id: 946)
SIPEIN Smart - Institute for Marine and Coastal Research of Colombia
Fishery information system for the storage and processing of catch information, effort, lengths, economic variables, which allows obtaining indicators of the performance of the fishery (fish abundance, mean size of the catch, economic income, rents, number of jobs, and others) to generate fishery management measures.
SIPEIN Smart - Institute for Marine and Coastal Research of Colombia (ODIS id 946)
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Last check was 07/11/2025 22:43
First entry: 21/04/2020
Last update: 09/10/2021
Submitter/Owner
Mr. Leonardo Jose ARIAS ALEMÁN ( OceanExpert :
12914
)
SIPEIN Smart - Institute for Marine and Coastal Research of Colombia
Original (non-English) name
SIPEIN Smart - Instituto de Investigaciones Marinas y Costeras de Colombia
Acronym
SIPEIN Smart - INVEMAR
Citation
"Narvaez, J.C., M. Rueda, E. Viloria, J. Blanco, J.A. Romero, F. Newmark. 2005. Manual del Sistema de Información Pesquera del INVEMAR (SIPEIN V.3.0): Una herramienta para el diseño de sistemas de manejo pesquero. Instituto de Investigaciones Marinas y Costeras - INVEMAR. Santa Marta Colombia. 128 p. (Serie de documentos generales del INVEMAR No. 18)"
Abstract
Fishery information system for the storage and processing of catch information, effort, lengths, economic variables, which allows obtaining indicators of the performance of the fishery (fish abundance, mean size of the catch, economic income, rents, number of jobs, and others) to generate fishery management measures.
Size-based plankton simulator - Centre for Ocean Life
Simulate a plankton ecosystem in the upper part of a watercolumn. Cell size is the only trait characterizing each plankton group. All groups are able to perform photoharvesting, taking up dissolve nutrients and carbon, and do phagotrophy. The trophic strategy is an emergent property.
Size-based plankton simulator - Centre for Ocean Life (ODIS id 2253)
Size-based plankton simulator - Centre for Ocean Life
Original (non-English) name
Acronym
Citation
Abstract
Simulate a plankton ecosystem in the upper part of a watercolumn. Cell size is the only trait characterizing each plankton group. All groups are able to perform photoharvesting, taking up dissolve nutrients and carbon, and do phagotrophy. The trophic strategy is an emergent property.
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Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Software (ocean related)
Languages: English
Countries: Denmark
Host Countries: Denmark
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography
Keywords: Modelling, biomass, marine ecosystems, plankton
Last updated: 05/09/2021
Analyzing wave height, wave period, and a variety of other oceanographic data collected by the Smartfin.
The Smartfin Project aims to unite the surfing community and the research community in an effort to fill this gap in our oceanographic data. It began years ago with the collaborative vision of Scientists and Researchers working with the Scripps Institute of Oceanography, who hoped to innovate a new way to model the behaviour of our oceans.
Analyzing wave height, wave period, and a variety of other oceanographic data collected by the Smartfin.
The Smartfin Project aims to unite the surfing community and the research community in an effort to fill this gap in our oceanographic data. It began years ago with the collaborative vision of Scientists and Researchers working with the Scripps Institute of Oceanography, who hoped to innovate a new way to model the behaviour of our oceans.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: data analysis, oceanography, python, waves
Last updated: 30/04/2021
SmartForms Mobile Data Collection - FAO (ODIS id: 1073)
SmartForms: Support to data collection programs” is a mobile data collection platform to collect and review fishery and observer data (hereinafter “SmartForms”). With one platform, SmartForms can serve data collection in different sectors. The application will remain the same, but data can be collected using various data collection templates that are customized to
satisfy the needs related to specific data collection project(s)/survey(s) (the “Forms”). The aim is to enable a data manager to define the Forms in a few steps and automatically have the Forms updated on the data collectors’ devices. The SmartForms App promises to deliver cost-effective and accurate support to data collectors with a particular focus on fisheries scientific observers.
The collection of data in the field is a cornerstone of scientific and monitoring activities, and needs to rely on a robust infrastructure to collect, validate, amend, archive and share data. Current data collections typically rely on workflows where data may be misplaced (e.g. Excel files), difficult to maintain or understand (reference data) or reconcile (local installations), require extensive manual processing (validation and exchange), and/or have a single-focus implementation (e.g. support for only one reporting protocol).
In addition to being a generic data survey platform, the SmartForms App offers integration of domain specific Master Data Management and reference data such as species or country lists, which improves data harmonization.
SmartForms Mobile Data Collection - FAO (ODIS id 1073)
SmartForms: Support to data collection programs” is a mobile data collection platform to collect and review fishery and observer data (hereinafter “SmartForms”). With one platform, SmartForms can serve data collection in different sectors. The application will remain the same, but data can be collected using various data collection templates that are customized to
satisfy the needs related to specific data collection project(s)/survey(s) (the “Forms”). The aim is to enable a data manager to define the Forms in a few steps and automatically have the Forms updated on the data collectors’ devices. The SmartForms App promises to deliver cost-effective and accurate support to data collectors with a particular focus on fisheries scientific observers.
The collection of data in the field is a cornerstone of scientific and monitoring activities, and needs to rely on a robust infrastructure to collect, validate, amend, archive and share data. Current data collections typically rely on workflows where data may be misplaced (e.g. Excel files), difficult to maintain or understand (reference data) or reconcile (local installations), require extensive manual processing (validation and exchange), and/or have a single-focus implementation (e.g. support for only one reporting protocol).
In addition to being a generic data survey platform, the SmartForms App offers integration of domain specific Master Data Management and reference data such as species or country lists, which improves data harmonization.
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: data collection programs, fisheries, mobile data collection, mobile phone application, monitoring activities, observer data
Last updated: 09/10/2021
SmartMet Server - Finnish Meteorological Institute (ODIS id: 581)
SmartMet Server - Finnish Meteorological Institute
SmartMet Server is Finnish Meteorological Institutes data and product server for MetOcean data. It provides a high capacity and high availability data and product server for MetOcean data. The server is written in C++, since 2008 it has been in operational use by the Finnish Meteorological Institute FMI.
SmartMet Server - Finnish Meteorological Institute (ODIS id 581)
SmartMet Server - Finnish Meteorological Institute
Original (non-English) name
Acronym
SMARTMET SERVER - FMIDEV
Citation
SmartMet Server Providing MetOcean Data.
Roope Tervo, Mika Heiskanen, Tarja Riihisaari, Mikko Visa and Mikko Rauhala
2016, http://www.slideshare.net/tervo/smartmet-server-providing-metocean-data
Abstract
SmartMet Server is Finnish Meteorological Institutes data and product server for MetOcean data. It provides a high capacity and high availability data and product server for MetOcean data. The server is written in C++, since 2008 it has been in operational use by the Finnish Meteorological Institute FMI.
Types: Data systems/portals (allowing downloading of data sets), Software (ocean related)
Languages: English
Countries: Finland
Host Countries: Finland
Sea Region: Baltic Sea
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: MetOcean data, Sea surface temperature, sea level
Last updated: 04/10/2021
SOCIB API (ODIS id: 1430)
http://api.socib.es/home/
the new SOCIB API offers the possibility of exploring our data catalog and retrieving the data it co ...
more
SOCIB API
the new SOCIB API offers the possibility of exploring our data catalog and retrieving the data it contains. This API is a REST API, which means that the requests are issued from a usual HTTP client, available with any programming language.
Regarding interoperability and discoverability, one of the key components that data providers should issue are REST APIs. In this line, SOCIB Data Centre has released in 2018 the Data Catalog API, a REST API that is meant to extend and enhance the capabilities of previous one (Data Discovery).
This new API eases the recovering of different data sources (i.e. observational data) coming from a wide range of platforms (e.g. oceanographical buoy, coastal stations, weather stations, autonomous underwater vehicles, drifter buoys...). Next versions will include also models, images, etc... to the list of available data sources.
The new SOCIB API is addressed to two different types of users: the IT (software developer) user and the data scientific user. For the IT expert, the use will be almost trivial. For scientific data experts, with no experience on this kind of tool, some training will be needed.
A success story is the development of the SOCIB Data Catalog web that fully relies on the capacity of this API.
If you use SOCIB data, please acknowledge the use of these data with one of the following statements: In applications or websites: Data products used in this application were obtained from SOCIB (www.socib.es). In addition, please make visible the SOCIB logo. In publications: Citation of a dataset with DOI is shown through the corresponding landing page of the SOCIB Data Product Catalog (apps.socib.es/data-catalog) Dataset without DOI: Data used in this work were obtained from SOCIB (www.socib.es). and cite the following publication: Tintore, J. et al. (2013), The Balearic Islands Coastal Ocean Observing and Forecasting System Responding to Science, Technology and Society Needs, Marine Technology Society Journal, 47 (1), doi: 10.4031/MTSJ.47.1.10
Abstract
the new SOCIB API offers the possibility of exploring our data catalog and retrieving the data it contains. This API is a REST API, which means that the requests are issued from a usual HTTP client, available with any programming language.
Regarding interoperability and discoverability, one of the key components that data providers should issue are REST APIs. In this line, SOCIB Data Centre has released in 2018 the Data Catalog API, a REST API that is meant to extend and enhance the capabilities of previous one (Data Discovery).
This new API eases the recovering of different data sources (i.e. observational data) coming from a wide range of platforms (e.g. oceanographical buoy, coastal stations, weather stations, autonomous underwater vehicles, drifter buoys...). Next versions will include also models, images, etc... to the list of available data sources.
The new SOCIB API is addressed to two different types of users: the IT (software developer) user and the data scientific user. For the IT expert, the use will be almost trivial. For scientific data experts, with no experience on this kind of tool, some training will be needed.
A success story is the development of the SOCIB Data Catalog web that fully relies on the capacity of this API.
SOCIB stands for the Balearic Islands Coastal Observing and Forecasting System. This app provides direct and easy access to near real time observations and forecasts from the Balearic Sea area. It also provides an overview of the work that is being done at SOCIB.
The observational data are provided by a wide range of instruments such as oceanographic buoys, tide gauges, weather stations, gliders, research vessels, HF radar, drifters, beach cameras, etc. They allow the user to find out, in near real time, the values of variables such as sea water temperature, wave height/direction, sea level, wind speed/direction, air temperature, air pressure, …. along with images of Balearic beaches.
The forecast is updated daily and provides information about wave height/direction/period, current speed/direction, water temperature and salinity.
The app provides relevant information for activities such as sailing, surfing, windsurfing, kitesurfing, diving, and for those who simply want to know the beach conditions. Please check out our disclaimer.
To get more details, visit us at http://www.socib.es.
If you use SOCIB data, please acknowledge the use of these data with one of the following statements:
In applications or websites:
Data products used in this application were obtained from SOCIB (www.socib.es).
In addition, please make visible the SOCIB logo.
In publications:
Citation of a dataset with DOI is shown through the corresponding landing page of the SOCIB Data Product Catalog (apps.socib.es/data-catalog)
Dataset without DOI:
Data used in this work were obtained from SOCIB (www.socib.es).
and cite the following publication:
Tintore, J. et al. (2013), The Balearic Islands Coastal Ocean Observing and Forecasting System Responding to Science, Technology and Society Needs, Marine Technology Society Journal, 47 (1), doi: 10.4031/MTSJ.47.1.10
Abstract
SOCIB stands for the Balearic Islands Coastal Observing and Forecasting System. This app provides direct and easy access to near real time observations and forecasts from the Balearic Sea area. It also provides an overview of the work that is being done at SOCIB.
The observational data are provided by a wide range of instruments such as oceanographic buoys, tide gauges, weather stations, gliders, research vessels, HF radar, drifters, beach cameras, etc. They allow the user to find out, in near real time, the values of variables such as sea water temperature, wave height/direction, sea level, wind speed/direction, air temperature, air pressure, …. along with images of Balearic beaches.
The forecast is updated daily and provides information about wave height/direction/period, current speed/direction, water temperature and salinity.
The app provides relevant information for activities such as sailing, surfing, windsurfing, kitesurfing, diving, and for those who simply want to know the beach conditions. Please check out our disclaimer.
To get more details, visit us at http://www.socib.es.
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please check the record details page
Host institution of the resource
Technical notes
Data obtained from SOCIB data center using observational and forecast data products
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Coastal areas Balearic Islands, Mallorca and Ibiza Channels
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Maps and atlases (geospatial products), Software (ocean related)
Languages: Catalan, English, Spanish
Countries: Spain
Host Countries: Spain
Sea Region: Balearic Sea
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: Coastal zone, beach images, buoys, coastal monitoring, coastal ocean waters, data products, decision-making, end users, forecast model output, observation data, ocean currents, products and services, real-time data, sea level, tides, time-series, water quality, waves, wind
Last updated: 11/10/2022
SOCIB Applications for modern web browsers and mobile platforms (ODIS id: 393)
http://apps.socib.es
Catalog of applications created by SOCIB:
Dapp (real-time monitoring of mobile platforms); Lw4nc 2. ...
more
SOCIB Applications for modern web browsers and mobile platforms
Catalog of applications created by SOCIB:
Dapp (real-time monitoring of mobile platforms); Lw4nc 2.0 (NetCDF grid viewer); Beamon (beach monitoring) SAPO-IB (Wave forecast); SACOSTA (Environmental Sensitivity of the Coastline); Seaboard (Dashboard visualization of ocean real time data); Instrumentation (Catalog and processing configuration); Follow the glider (Educational web); DataDiscovery (SOCIB API)Profiles ViewerLeaflet; TimeDimension (Add time dimension capabilities on a Leaflet map); Glider Toolbox (MATLAB/Octave scripts to manage data collected by a glider fleet).
SOCIB Applications for modern web browsers and mobile platforms (ODIS id 393)
SOCIB Applications for modern web browsers and mobile platforms
Original (non-English) name
Acronym
Citation
If you use SOCIB data, please acknowledge the use of these data with one of the following statements: In applications or websites: Data products used in this application were obtained from SOCIB (www.socib.es). In addition, please make visible the SOCIB logo. In publications: Citation of a dataset with DOI is shown through the corresponding landing page of the SOCIB Data Product Catalog (apps.socib.es/data-catalog) Dataset without DOI: Data used in this work were obtained from SOCIB (www.socib.es). and cite the following publication: Tintore, J. et al. (2013), The Balearic Islands Coastal Ocean Observing and Forecasting System Responding to Science, Technology and Society Needs, Marine Technology Society Journal, 47 (1), doi: 10.4031/MTSJ.47.1.10
Abstract
Catalog of applications created by SOCIB:
Dapp (real-time monitoring of mobile platforms); Lw4nc 2.0 (NetCDF grid viewer); Beamon (beach monitoring) SAPO-IB (Wave forecast); SACOSTA (Environmental Sensitivity of the Coastline); Seaboard (Dashboard visualization of ocean real time data); Instrumentation (Catalog and processing configuration); Follow the glider (Educational web); DataDiscovery (SOCIB API)Profiles ViewerLeaflet; TimeDimension (Add time dimension capabilities on a Leaflet map); Glider Toolbox (MATLAB/Octave scripts to manage data collected by a glider fleet).
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English, Spanish
Countries: Spain
Host Countries: Spain
Sea Region: Alboran Sea, Balearic Sea, Mediterranean Sea, Mediterranean Sea, Eastern Basin, Mediterranean Sea, Western Basin, Strait of Gibraltar
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS06 Cross-discipline, DS07 Administration and dimensions, DS12 Human activities
Keywords: data and information, data archive, data discovey, data services, oceans, open access
Last updated: 11/10/2022
SOCIB Data Center is working on building a data treatment architecture that covers all data stages. This architecture is composed by the following stages: acquisition, processing, quality controls, storage and distribution.
The SDDS is a layer of RESTful web services intended to provides information and data of SOCIB platforms. This layer is located at the distribution stage.
SOCIB Data Center is working on building a data treatment architecture that covers all data stages. This architecture is composed by the following stages: acquisition, processing, quality controls, storage and distribution.
The SDDS is a layer of RESTful web services intended to provides information and data of SOCIB platforms. This layer is located at the distribution stage.
MATLAB/Octave scripts to manage data collected by a glider fleet, including data download, data processing and product and figure generation, both in real time and delayed time.
SOCIB Data Center. (2017, July 31). SOCIB glider_toolbox. Zenodo. http://doi.org/10.5281/zenodo.836706
Abstract
MATLAB/Octave scripts to manage data collected by a glider fleet, including data download, data processing and product and figure generation, both in real time and delayed time.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Canada, Spain, Finland
Host Countries: Spain
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: Glider, NetCDF, data management, data processing, delayed-mode data, oceanographic data, oceanography, real-time data
Last updated: 11/10/2022
LifeguardIB provides atmospheric and oceanographic variables interpolated from numerical prediction models (oceanographic and atmospheric) at the mesh points closest to the 352 Balearic beaches where there is a lifeguard service.
It constitutes a support tool for lifeguards to fill in the reports of incidents on the beaches, providing objective and comparable data for statistical purposes. Likewise, it is a tool used for the planning and decision-making of the lifeguards, which results in an improvement in the safety of the bathing areas.
In addition, the app allows the lifeguard to program notifications to be notified when a certain variable (wave height, for example) reaches a certain threshold, thus contributing to knowledge-based beach safety management.
This app has been developed by the ICTS SOCIB in collaboration with the General Directorate of Emergencies and Interior of the Government of the Balearic Islands, AEMET and State Ports, with the participation of municipal officials and security concessionaires in the 352 beaches of les Balearic Islands that have lifeguards service.
It responds to the needs of lifeguards on the beaches of the Balearic Islands and to the new capabilities of observation and prediction systems (atmospheric, marine, coastal, etc.), for the provision of quality data at local scale and in real time , to support the sustainable use of the sea and its coasts.
To learn more about SOCIB, visit us at http://www.socib.es.
If you use SOCIB data, please acknowledge the use of these data with one of the following statements: In applications or websites: Data products used in this application were obtained from SOCIB (www.socib.es). In addition, please make visible the SOCIB logo. In publications: Citation of a dataset with DOI is shown through the corresponding landing page of the SOCIB Data Product Catalog (apps.socib.es/data-catalog) Dataset without DOI: Data used in this work were obtained from SOCIB (www.socib.es). and cite the following publication: Tintore, J. et al. (2013), The Balearic Islands Coastal Ocean Observing and Forecasting System Responding to Science, Technology and Society Needs, Marine Technology Society Journal, 47 (1), doi: 10.4031/MTSJ.47.1.10
Abstract
LifeguardIB provides atmospheric and oceanographic variables interpolated from numerical prediction models (oceanographic and atmospheric) at the mesh points closest to the 352 Balearic beaches where there is a lifeguard service.
It constitutes a support tool for lifeguards to fill in the reports of incidents on the beaches, providing objective and comparable data for statistical purposes. Likewise, it is a tool used for the planning and decision-making of the lifeguards, which results in an improvement in the safety of the bathing areas.
In addition, the app allows the lifeguard to program notifications to be notified when a certain variable (wave height, for example) reaches a certain threshold, thus contributing to knowledge-based beach safety management.
This app has been developed by the ICTS SOCIB in collaboration with the General Directorate of Emergencies and Interior of the Government of the Balearic Islands, AEMET and State Ports, with the participation of municipal officials and security concessionaires in the 352 beaches of les Balearic Islands that have lifeguards service.
It responds to the needs of lifeguards on the beaches of the Balearic Islands and to the new capabilities of observation and prediction systems (atmospheric, marine, coastal, etc.), for the provision of quality data at local scale and in real time , to support the sustainable use of the sea and its coasts.
To learn more about SOCIB, visit us at http://www.socib.es.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Coastal areas of the Balearic Islands
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Software (ocean related)
Languages: English, Spanish
Countries: Spain
Host Countries: Spain
Sea Region: Balearic Sea
Themes: DS03 Physical oceanography, DS05 Atmosphere, DS12 Human activities
Keywords: WebGIS, data products, data services, data visualization, forecast model output, operational service, real-time data
Last updated: 11/10/2022
Set of matlab scripts to identify correction coefficients for salinity data taken from CTD rossette and glider
The plot_socib_rv_adcp is a set of python scripts and functions developed at SOCIB to plot the data collected by a SBE911+ CTD mounted onboard the SOCIB Research Vessel. They are able to plot the main variables stored into the cnv files and plot them interpolate the profiles over the longitude dimension.
Cristian. (2019, November 14). socib/salinity-correction-toolbox: Pilot (Version v0.2). Zenodo. http://doi.org/10.5281/zenodo.3541693
Abstract
Set of matlab scripts to identify correction coefficients for salinity data taken from CTD rossette and glider
The plot_socib_rv_adcp is a set of python scripts and functions developed at SOCIB to plot the data collected by a SBE911+ CTD mounted onboard the SOCIB Research Vessel. They are able to plot the main variables stored into the cnv files and plot them interpolate the profiles over the longitude dimension.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Spain
Host Countries: Spain
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: data products, data quality, data quality monitoring, oceanographic data, oceanography, quality control
Last updated: 25/02/2021
SOCIB Seaboards (ODIS id: 2029)
http://seaboard.socib.es/
Seaboards are single ‘dashboard’ visualizations of the real time and forecast ocean data current ...
more
SOCIB Seaboards
Seaboards are single ‘dashboard’ visualizations of the real time and forecast ocean data currently provided by SOCIB, from different coastal and ocean monitoring locations around the Balearic Islands.
A specific set of Seaboards has been designed for the tourist sector and these are now installed in several collaborating hotels, providing useful real-time information about the ocean and coastal state, as well as knowledge about science based beach management and environmental preservation.
SOCIB, the Balearic Islands Coastal Observing and Forecasting System, is an initiative to provide real time coastal and ocean data products and services in response to international science priorities and to respond to pressing society needs, such as beach erosion, sea level rise, and climate variability etc. Through this we contribute to the development and implementation of new technologies and enhance our capacity to sustainably manage our interaction with the coastal and open ocean.
If you use SOCIB data, please acknowledge the use of these data with one of the following statements: In applications or websites: Data products used in this application were obtained from SOCIB (www.socib.es). In addition, please make visible the SOCIB logo. In publications: Citation of a dataset with DOI is shown through the corresponding landing page of the SOCIB Data Product Catalog (apps.socib.es/data-catalog) Dataset without DOI: Data used in this work were obtained from SOCIB (www.socib.es). and cite the following publication: Tintore, J. et al. (2013), The Balearic Islands Coastal Ocean Observing and Forecasting System Responding to Science, Technology and Society Needs, Marine Technology Society Journal, 47 (1), doi: 10.4031/MTSJ.47.1.10
Abstract
Seaboards are single ‘dashboard’ visualizations of the real time and forecast ocean data currently provided by SOCIB, from different coastal and ocean monitoring locations around the Balearic Islands.
A specific set of Seaboards has been designed for the tourist sector and these are now installed in several collaborating hotels, providing useful real-time information about the ocean and coastal state, as well as knowledge about science based beach management and environmental preservation.
SOCIB, the Balearic Islands Coastal Observing and Forecasting System, is an initiative to provide real time coastal and ocean data products and services in response to international science priorities and to respond to pressing society needs, such as beach erosion, sea level rise, and climate variability etc. Through this we contribute to the development and implementation of new technologies and enhance our capacity to sustainably manage our interaction with the coastal and open ocean.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
data obtained through SOCIB data center from the different SOCIB facilities
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Coastal areas Balearic Islands, Ibiza and Mallorca Channels
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Maps and atlases (geospatial products), Software (ocean related)
Languages: Catalan, English, Spanish
Countries: Spain
Host Countries: Spain
Sea Region: Balearic Sea, Mediterranean Sea, Mediterranean Sea, Western Basin
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere, DS12 Human activities
Keywords: Ocean monitoring, Ocean variability, Research Cruises, coastal monitoring, coastal ocean waters, data products, data visualization, end users, forecast model output, ocean observation, ocean prediction system, ocean sciences, ocean state, oceanographic data, oceanography, oceans, products and services, real-time data
Last updated: 11/10/2022
Software - DIversity, Systematics, and Connectivity Of Vulnerable Reef Ecosystem Project (ODIS id: 2342)
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: no searegion defined
Themes: DS01 Biological oceanography
Keywords: data analysis, eDNA, sample data
Last updated: 02/12/2021
Software - U.S. National Aeronautics and Space Administration (ODIS id: 2422)
https://software.nasa.gov/
NASA's Software Catalog offers hundreds of new software programs you can download for free to use in ...
more
Software - U.S. National Aeronautics and Space Administration
NASA's Software Catalog offers hundreds of new software programs you can download for free to use in a wide variety of technical applications.
Software - U.S. National Aeronautics and Space Administration (ODIS id 2422)
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: no searegion defined
Themes: DS10 Environment
Keywords: data analysis
Last updated: 18/09/2021
Software - UK National Tidal and Sea Level Facility (ODIS id: 1887)
Software - UK National Tidal and Sea Level Facility
Original (non-English) name
Acronym
Software - UK NTSLF
Citation
Abstract
Software products from the UK National Tidal and Sea Level Facility
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: Celtic Sea, English Channel, North Sea, World
Themes: DS03 Physical oceanography
Keywords: data analysis, tides, tides forecast, time-series
Last updated: 26/04/2021
Software and Services - Earth System Grid Federation (ODIS id: 2840)
Software and Services - Earth System Grid Federation
The Earth System Grid Federation (ESGF) is a collaboration that develops, deploys and maintains software infrastructure for the management, dissemination, and analysis of model output and observational data. Below are the different data access interfaces and software tools. You can install and configure all the tools or a subset depending on your needs.
Software and Services - Earth System Grid Federation (ODIS id 2840)
Software and Services - Earth System Grid Federation
Original (non-English) name
Acronym
Software and Services - ESGF
Citation
Abstract
The Earth System Grid Federation (ESGF) is a collaboration that develops, deploys and maintains software infrastructure for the management, dissemination, and analysis of model output and observational data. Below are the different data access interfaces and software tools. You can install and configure all the tools or a subset depending on your needs.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: REGIONAL
Host Countries: United States
Sea Region: no searegion defined
Themes: DS05 Atmosphere, DS10 Environment
Keywords: Modelling, data analysis, earth science, observation data
Last updated: 04/11/2021
Software for fishery statistical time series - FAO Fisheries Division (ODIS id: 1074)
Software for fishery statistical time series - FAO Fisheries Division
FishStatJ is a Windows and Mac application that anyone can use to access FAO’s Fisheries and Aquaculture statistics. They include datasets on production, trade and consumption. Data can be extracted and aggregated according to different level of details and international standard classifications. It consists of a main application and several workspaces that include the datasets.
Software for fishery statistical time series - FAO Fisheries Division (ODIS id 1074)
Software for fishery statistical time series - FAO Fisheries Division
Original (non-English) name
Acronym
FishStatJ - NFI
Citation
Abstract
FishStatJ is a Windows and Mac application that anyone can use to access FAO’s Fisheries and Aquaculture statistics. They include datasets on production, trade and consumption. Data can be extracted and aggregated according to different level of details and international standard classifications. It consists of a main application and several workspaces that include the datasets.
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: aquaculture statistics, fisheries, fisheries statistics
Last updated: 09/10/2021
SoG-bloomcast is a an operational oceanography project to provide daily updated forecasts of the first spring phytoplankton bloom in the Strait of Georgia on the British Columbia south coast. In addition to being part of an active research program on the physics and biogeochemistry of the Salish Sea, SoG-bloomcast is intended as a demonstration of how small university research groups can use lightweight software automation to publish near-real-time model results to the web.
SoG-bloomcast uses the SOG coupled physics-biogeochemical model for deep estuaries (http://www.eos.ubc.ca/~sallen/SOG-docs/) to do its science, and publishes its results to the web at http://eos.ubc.ca/~sallen/SoG-bloomcast/results.html.
SoG-bloomcast is written in Python.
SoG-bloomcast is a an operational oceanography project to provide daily updated forecasts of the first spring phytoplankton bloom in the Strait of Georgia on the British Columbia south coast. In addition to being part of an active research program on the physics and biogeochemistry of the Salish Sea, SoG-bloomcast is intended as a demonstration of how small university research groups can use lightweight software automation to publish near-real-time model results to the web.
SoG-bloomcast uses the SOG coupled physics-biogeochemical model for deep estuaries (http://www.eos.ubc.ca/~sallen/SOG-docs/) to do its science, and publishes its results to the web at http://eos.ubc.ca/~sallen/SoG-bloomcast/results.html.
SoG-bloomcast is written in Python.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Canada
Host Countries: Canada
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: forecasting system, operational oceanography, phytoplankton blooms, python
Last updated: 01/05/2021
sohungry package - Scientific Committee on Antarctic Research (ODIS id: 1869)
https://github.com/SCAR/sohungry
This R package provides access to the SCAR Southern Ocean Diet and Energetics Database, and some too ...
more
sohungry package - Scientific Committee on Antarctic Research
This R package provides access to the SCAR Southern Ocean Diet and Energetics Database, and some tools for working with these data. For more information about the database see https://scar.org/resources/southern-ocean-diet-energetics/.
sohungry package - Scientific Committee on Antarctic Research (ODIS id 1869)
sohungry package - Scientific Committee on Antarctic Research
Original (non-English) name
Acronym
sohungry - SCAR
Citation
Abstract
This R package provides access to the SCAR Southern Ocean Diet and Energetics Database, and some tools for working with these data. For more information about the database see https://scar.org/resources/southern-ocean-diet-energetics/.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Australia
Host Countries: Australia
Sea Region: Southern Ocean
Themes: DS01 Biological oceanography
Keywords: DNA barcoding, diet and energetics data, isotopes, lipids, r-package
Last updated: 22/04/2021
solong package - Scientific Committee on Antarctic Research (ODIS id: 1868)
https://github.com/SCAR/solong
This R package provides allometric equations that relate the body size of Southern Ocean taxa to the ...
more
solong package - Scientific Committee on Antarctic Research
This R package provides allometric equations that relate the body size of Southern Ocean taxa to their body part measurements. It is a component of the Southern Ocean Diet and Energetics Database project. The package currently includes 693 equations, covering mostly cephalopods and fish.
solong package - Scientific Committee on Antarctic Research (ODIS id 1868)
solong package - Scientific Committee on Antarctic Research
Original (non-English) name
Acronym
solong - SCAR
Citation
Abstract
This R package provides allometric equations that relate the body size of Southern Ocean taxa to their body part measurements. It is a component of the Southern Ocean Diet and Energetics Database project. The package currently includes 693 equations, covering mostly cephalopods and fish.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Australia
Sea Region: Southern Ocean
Themes: DS01 Biological oceanography
Keywords: Fish, cephalopods, data analysis, r-package, taxonomy
Last updated: 22/04/2021
SOS Explorer (SOSx) Mobile is a free, flat screen mobile app version of the popular NOAA Science On a Sphere (SOS). This revolutionary software takes SOS datasets, usually only seen on a 6-foot sphere in large museum spaces, and makes them accessible, portable, and interactive anywhere. SOSx Mobile can immerse the user in animated images such as Saturn’s rings, atmospheric storms, climate change, and ocean temperatures to help explain sometimes complex environmental processes in a way that is intuitive, captivating, interactive, and entertaining. A desktop version, called SOS Explorer, is also available. Contact getsos.gsd@noaa.gov to purchase the exhibit-quality desktop application, which includes VR, real-time data, and the ability to add your own content.
Features include:
• Streaming, high-resolution datasets
• Educational videos
• User-guided tours
• Analysis tools
• 100+ datasets
• Global and flat map views
Sample datasets:
• Recent Hurricane Seasons
• Bird Migration
• Earthquake Activity
• Snow and Ice
• Ocean Currents
• Historical Tsunamis
• Facebook Friendships
• Air Traffic
• Planets of the Solar System
• Climate Change Models
• 360 Underwater Imagery
• Narrated Movies
• ...and so much more!
SOS Explorer (SOSx) Mobile is a free, flat screen mobile app version of the popular NOAA Science On a Sphere (SOS). This revolutionary software takes SOS datasets, usually only seen on a 6-foot sphere in large museum spaces, and makes them accessible, portable, and interactive anywhere. SOSx Mobile can immerse the user in animated images such as Saturn’s rings, atmospheric storms, climate change, and ocean temperatures to help explain sometimes complex environmental processes in a way that is intuitive, captivating, interactive, and entertaining. A desktop version, called SOS Explorer, is also available. Contact getsos.gsd@noaa.gov to purchase the exhibit-quality desktop application, which includes VR, real-time data, and the ability to add your own content.
Features include:
• Streaming, high-resolution datasets
• Educational videos
• User-guided tours
• Analysis tools
• 100+ datasets
• Global and flat map views
Sample datasets:
• Recent Hurricane Seasons
• Bird Migration
• Earthquake Activity
• Snow and Ice
• Ocean Currents
• Historical Tsunamis
• Facebook Friendships
• Air Traffic
• Planets of the Solar System
• Climate Change Models
• 360 Underwater Imagery
• Narrated Movies
• ...and so much more!
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: Science On a Sphere, animations, mobile phone application
Last updated: 12/12/2021
Spatial Temporal Oceanographic Query System - Monterey Bay Aquarium Research Institute (ODIS id: 1878)
Spatial Temporal Oceanographic Query System - Monterey Bay Aquarium Research Institute
STOQS (Spatial Temporal Oceanographic Query System) is a geospatial database software package designed to provide efficient access to in situ oceanographic measurement data.
Spatial Temporal Oceanographic Query System - Monterey Bay Aquarium Research Institute (ODIS id 1878)
Spatial Temporal Oceanographic Query System - Monterey Bay Aquarium Research Institute
Original (non-English) name
Acronym
STOQS - MBARI
Citation
Abstract
STOQS (Spatial Temporal Oceanographic Query System) is a geospatial database software package designed to provide efficient access to in situ oceanographic measurement data.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: AUV, geospatial database, matlab, measurements, oceanography, python
Last updated: 22/04/2021
Spatiotemporal Data Time Series Toolkit (ODIS id: 1803)
The Spatiotemporal Data & Time Series Toolkit, previously known as "The COPEPODITE Toolkit", is a combination of two COPEPOD sub-elements: "NAUPLIUS" and "COPEPODITE". For previous COPEPODITE Toolkit users, the immediate difference is an increase in the number of available auto-extract spatiotemporal data sets in "Step #1", and a note that continuation with "Step #2" (analysis and graphics creation) is optional.
The NAUPLIUS Spatiotemporal Data tools and COPEPODITE Time Series tools were developed in support of various ICES, SCOR, and IOC-UNESCO plankton time-series working groups. This simple time-series analysis and visualization toolkit allows a user to create a variety of analytical plots and statistical results without having to install any software or learn any programming languages.
The COPEPOD Interactive Time-series Explorer (COPEPODITE) is a collection of time-series analysis and visualization plots developed by COPEPOD in support of various SCOR and ICES plankton time-series working groups ( WG125, WGZE, WGPME, WG137 ). While some of these graphics have been used by WGZE and WG125 for over ten years, until now it was only possible for these graphics to be created "in-house" at COPEPOD. (This means that an investigator had to send us their data and then wait for us to process it and create the graphics and results for them.)
This toolkit allows outside users to load their own data and quickly get a variety plots and results from the wide selection of tool modules developed in cooperation with these plankton working groups.
Spatiotemporal Data Time Series Toolkit (ODIS id 1803)
The content of the COPEPOD plankton database is updated on a monthly-to-quarterly basis. Every two years a printed NOAA technical memorandum is created to summarize the full data content, as well as the latest protocols for quality control and data product synthesis (i.e., new gridded fields, compilations, etc.). This allows users to cite a printed reference or a web site (depending on preference and/or the requirements of their intended publication or works).
Abstract
The Spatiotemporal Data & Time Series Toolkit, previously known as "The COPEPODITE Toolkit", is a combination of two COPEPOD sub-elements: "NAUPLIUS" and "COPEPODITE". For previous COPEPODITE Toolkit users, the immediate difference is an increase in the number of available auto-extract spatiotemporal data sets in "Step #1", and a note that continuation with "Step #2" (analysis and graphics creation) is optional.
The NAUPLIUS Spatiotemporal Data tools and COPEPODITE Time Series tools were developed in support of various ICES, SCOR, and IOC-UNESCO plankton time-series working groups. This simple time-series analysis and visualization toolkit allows a user to create a variety of analytical plots and statistical results without having to install any software or learn any programming languages.
The COPEPOD Interactive Time-series Explorer (COPEPODITE) is a collection of time-series analysis and visualization plots developed by COPEPOD in support of various SCOR and ICES plankton time-series working groups ( WG125, WGZE, WGPME, WG137 ). While some of these graphics have been used by WGZE and WG125 for over ten years, until now it was only possible for these graphics to be created "in-house" at COPEPOD. (This means that an investigator had to send us their data and then wait for us to process it and create the graphics and results for them.)
This toolkit allows outside users to load their own data and quickly get a variety plots and results from the wide selection of tool modules developed in cooperation with these plankton working groups.
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: copepods, data analysis, data visualization, time-series
Last updated: 08/05/2021
SpEnOI is an ensemble harmonic data assimilation software suite for spectral tidal modeling. Ensemble is built by perturbing essential tidal modeling parameters:
bottom friction coefficient
bathymetry
boundary conditions
internal (tide) wave drag
It is a C/C++ suite, with OpenMP optimisation. It includes data assimilation code and companion tools for ensemble generation. It needs the COMODO tools package to be compiled.
SpEnOI is an ensemble harmonic data assimilation software suite for spectral tidal modeling. Ensemble is built by perturbing essential tidal modeling parameters:
bottom friction coefficient
bathymetry
boundary conditions
internal (tide) wave drag
It is a C/C++ suite, with OpenMP optimisation. It includes data assimilation code and companion tools for ensemble generation. It needs the COMODO tools package to be compiled.
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Types: Software (ocean related)
Languages: English
Countries: France
Host Countries: France
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, c++, data assimilation, tides
Last updated: 13/05/2021
Routines used by the USGS Coastal/Marine Hazards & Resources Program to process oceanographic time-series data.
stglib is a library of routines to process data from a variety of oceanographic instrumentation, consistent with the procedures of the Sediment Transport Group at the USGS Woods Hole Coastal and Marine Science Center.
stglib serves two distinct but related purposes:
A library to import data into xarray Datasets, which can be manipulated in an interactive Python environment (e.g., IPython, Jupyter notebooks).
A series of run scripts to process data into EPIC-compliant netCDF files for release to the public.
Currently, this package has at least partial support for:
Nortek Aquadopp profilers, in mean-current and wave-burst modes
RBR d|wave pressure sensors
YSI EXO2 water-quality sondes
SonTek IQ flow monitors
WET labs sensors, including ECO NTUSB and ECO PAR
Onset HOBO pressure sensors
Moving-boat ADCP data processed using QRev, for use in index-velocity computation
Routines used by the USGS Coastal/Marine Hazards & Resources Program to process oceanographic time-series data.
stglib is a library of routines to process data from a variety of oceanographic instrumentation, consistent with the procedures of the Sediment Transport Group at the USGS Woods Hole Coastal and Marine Science Center.
stglib serves two distinct but related purposes:
A library to import data into xarray Datasets, which can be manipulated in an interactive Python environment (e.g., IPython, Jupyter notebooks).
A series of run scripts to process data into EPIC-compliant netCDF files for release to the public.
Currently, this package has at least partial support for:
Nortek Aquadopp profilers, in mean-current and wave-burst modes
RBR d|wave pressure sensors
YSI EXO2 water-quality sondes
SonTek IQ flow monitors
WET labs sensors, including ECO NTUSB and ECO PAR
Onset HOBO pressure sensors
Moving-boat ADCP data processed using QRev, for use in index-velocity computation
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: data processing, oceanography, python, time-series
Last updated: 01/05/2021
Submission Data Portal - Oak Ridge National Laboratory Distributed Active Archive Center at NASA (ODIS id: 1480)
https://daac.ornl.gov/submit/
The ORNL DAAC manages scientific data in order to make these data accessible and useful to researche ...
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Submission Data Portal - Oak Ridge National Laboratory Distributed Active Archive Center at NASA
The ORNL DAAC manages scientific data in order to make these data accessible and useful to researchers, today and tomorrow. This document outlines our data publication policies and standards. The content here is a guide for data providers and authors of data.
There are many benefits to publishing your data in an open data repository. You get credit for archived data products and their subsequent use. The DAAC's process of QA and documentation adds value and may catch errors in your data. Collaborators can readily understand and use your data both in the near future and in the long-term. Sponsors protect their investment. And scientists outside your project can find, understand, and use your data to address broad questions.
Submission Data Portal - Oak Ridge National Laboratory Distributed Active Archive Center at NASA (ODIS id 1480)
Submission Data Portal - Oak Ridge National Laboratory Distributed Active Archive Center at NASA
Original (non-English) name
Acronym
Submission Data Portal - ORNL DAAC-NASA
Citation
Abstract
The ORNL DAAC manages scientific data in order to make these data accessible and useful to researchers, today and tomorrow. This document outlines our data publication policies and standards. The content here is a guide for data providers and authors of data.
There are many benefits to publishing your data in an open data repository. You get credit for archived data products and their subsequent use. The DAAC's process of QA and documentation adds value and may catch errors in your data. Collaborators can readily understand and use your data both in the near future and in the long-term. Sponsors protect their investment. And scientists outside your project can find, understand, and use your data to address broad questions.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS08 Terrestrial
Keywords: data archive, data management, database, open access, open data, research network
Last updated: 03/07/2021
The Arctic Data Center is the primary repository for the Arctic Section of the Office of Polar Programs. Our mission is to help the research community reproducibly preserve and discover all products of NSF-funded science in the Arctic, including data, metadata, software, and documents. In this video, you’ll learn how to navigate the catalog, and how to explore different fields in the metadata records.
The Arctic Data Center uses ORCID iDs to identify individuals associated with each data package. When submitting to the Arctic Data Center, an ORCiD is required for the submitter of each data package. ORCiDs are not required for all associated parties (contacts, additional creators, etc.), but are strongly encouraged, especially for the primary creator, so that proper identification and attribution can be given. Additionally, access to edit each data package can only be granted to individuals using ORCiDs. Therefore, we advise researchers to register and record ORCID iDs for each individual involved with the project during the initial stages of project development (i.e., within the data management plan of the project proposal).
The Arctic Data Center is the primary repository for the Arctic Section of the Office of Polar Programs. Our mission is to help the research community reproducibly preserve and discover all products of NSF-funded science in the Arctic, including data, metadata, software, and documents. In this video, you’ll learn how to navigate the catalog, and how to explore different fields in the metadata records.
The Arctic Data Center uses ORCID iDs to identify individuals associated with each data package. When submitting to the Arctic Data Center, an ORCiD is required for the submitter of each data package. ORCiDs are not required for all associated parties (contacts, additional creators, etc.), but are strongly encouraged, especially for the primary creator, so that proper identification and attribution can be given. Additionally, access to edit each data package can only be granted to individuals using ORCiDs. Therefore, we advise researchers to register and record ORCID iDs for each individual involved with the project during the initial stages of project development (i.e., within the data management plan of the project proposal).
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Types: Data systems/portals (allowing downloading of data sets), Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: Arctic research, data analysis, data and information, data archive, data ingestion, data portal, database, document repository, metadata, oceanographic data, polar base
Last updated: 27/05/2021
Surfline has been the surf world’s go-to for wave forecasting and surf reports since 1985, helping millions of surfers score better waves, more often. Use the Surfline app to know before you go anytime, anywhere.
Surfline has been the surf world’s go-to for wave forecasting and surf reports since 1985, helping millions of surfers score better waves, more often. Use the Surfline app to know before you go anytime, anywhere.
Technical contact email
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Countries owning the source
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Types
Interaction techs
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Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: Modelling, mobile phone application, waves, webcam, wind
Last updated: 09/12/2021
Android Application Surf Report
Since 1991 Surf Report is the reference for surfing weather sites with photos of the day in France and forecasts of wind and swell to 7 days. Discover now the new version of its application, completely redesigned to help you best in your daily sessions.
The new logo and redesigned the design come to serve of new features:
A customizable home page: Select your favorite spots to see in a glance forecasts and carry the day.
More than 30 daily reports: In all regions of France, but also in Morocco and overseas territories our reporters give you the ability to monitor conditions in picture or video with personalized advice. Beginner or expert, the reporter also specifies at what level match the waves of the day.
Weather forecasts 7 days: In this new version we have completely revised our forecast model. In France and the Caribbean, watch the forecast on your spot and discover the notes of the session 0 star whether to stay home to 3 stars for a perfect session. An indicator that lets you know in an instant where surf today.
Rich content: videos, in-depth articles, interviews and portfolios, just to get you to surf the news page in France and worldwide.
Android Application Surf Report
Since 1991 Surf Report is the reference for surfing weather sites with photos of the day in France and forecasts of wind and swell to 7 days. Discover now the new version of its application, completely redesigned to help you best in your daily sessions.
The new logo and redesigned the design come to serve of new features:
A customizable home page: Select your favorite spots to see in a glance forecasts and carry the day.
More than 30 daily reports: In all regions of France, but also in Morocco and overseas territories our reporters give you the ability to monitor conditions in picture or video with personalized advice. Beginner or expert, the reporter also specifies at what level match the waves of the day.
Weather forecasts 7 days: In this new version we have completely revised our forecast model. In France and the Caribbean, watch the forecast on your spot and discover the notes of the session 0 star whether to stay home to 3 stars for a perfect session. An indicator that lets you know in an instant where surf today.
Rich content: videos, in-depth articles, interviews and portfolios, just to get you to surf the news page in France and worldwide.
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Types
Interaction techs
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Obtaining data from
Types: Software (ocean related)
Languages: French
Countries: GLOBAL
Host Countries: France
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: Modelling, mobile phone application, swell, waves, wind
Last updated: 09/12/2021
SWAN is a third-generation wave model for obtaining realistic estimates of wave parameters in coastal areas, lakes and estuaries from given wind, bottom and current conditions. However, SWAN can be used on any scale relevant for wind-generated surface gravity waves. The model is based on the wave action balance equation with sources and sinks.
An important question addressed is how to choose various grids in SWAN (resolution, orientation, etc.) including nesting. In general, we consider two types of grids: structured and unstructured. Structured grids may be rectilinear and uniform or curvilinear. They always consist of quadrilaterals in which the number of grid cells that meet each other in an internal grid point is 4. In unstructured grids, this number can be arbitrarily (usually between 4 and 10). For this reason, the level of flexibility with respect to the grid point distribution of unstructured grids is far more optimal compared to structured grids. Unstructured grids may contain triangles or a combination of triangles and quadrilaterals (so-called hybrid grids). In the current version of SWAN, however, only triangular meshes can be employed.
Often, the characteristic spatial scales of the wind waves propagating from deep to shallow waters are very diverse and would required to allow local refinement of the mesh near the coast without incurring overhead associated with grid adaptation at some distance offshore. Traditionally, this can be achieved by employing a nesting approach.
The idea of nesting is to first compute the waves on a coarse grid for a larger region and then on a finer grid for a smaller region. The computation on the fine grid uses boundary conditions that are generated by the computation on the coarse grid. Nesting can be repeated on ever decreasing scales using the same type of coordinates for the coarse computations and the nested computations (Cartesian or spherical). Note that curvilinear grids can be used for nested computations but the boundaries should always be rectangular.
The use of unstructured grids in SWAN offers a good alternative to nested models not only because of the ease of optimal adaption of mesh resolution but also the modest effort needed to generate grids about complicated geometries, e.g. islands and irregular shorelines. This type of flexible meshes is particularly useful in coastal regions where the water depth varies greatly. As a result, this variable spatial meshing gives the highest resolution where it is most needed. The use of unstructured grids facilitates to resolve the model area with a relative high accuracy but with a much fewer grid points than with regular grids.
It must be pointed out that the application of SWAN on ocean scales is not recommended from an efficiency point of view. The WAM model and the WAVEWATCH III model, which have been designed specifically for ocean applications, are probably one order of magnitude more efficient than SWAN. SWAN can be run on large scales (much larger than coastal scales) but this option is mainly intended for the transition from ocean scales to coastal scales (transitions where nonstationarity is an issue and spherical coordinates are convenient for nesting).
A general suggestion is: start simple. SWAN helps in this with default options. Furthermore, suggestions are given that should help the user to choose among the many options conditions and in which mode to run SWAN (first-, second- or third-generation mode, stationary or nonstationary and 1D or 2D).
SWAN is a third-generation wave model for obtaining realistic estimates of wave parameters in coastal areas, lakes and estuaries from given wind, bottom and current conditions. However, SWAN can be used on any scale relevant for wind-generated surface gravity waves. The model is based on the wave action balance equation with sources and sinks.
An important question addressed is how to choose various grids in SWAN (resolution, orientation, etc.) including nesting. In general, we consider two types of grids: structured and unstructured. Structured grids may be rectilinear and uniform or curvilinear. They always consist of quadrilaterals in which the number of grid cells that meet each other in an internal grid point is 4. In unstructured grids, this number can be arbitrarily (usually between 4 and 10). For this reason, the level of flexibility with respect to the grid point distribution of unstructured grids is far more optimal compared to structured grids. Unstructured grids may contain triangles or a combination of triangles and quadrilaterals (so-called hybrid grids). In the current version of SWAN, however, only triangular meshes can be employed.
Often, the characteristic spatial scales of the wind waves propagating from deep to shallow waters are very diverse and would required to allow local refinement of the mesh near the coast without incurring overhead associated with grid adaptation at some distance offshore. Traditionally, this can be achieved by employing a nesting approach.
The idea of nesting is to first compute the waves on a coarse grid for a larger region and then on a finer grid for a smaller region. The computation on the fine grid uses boundary conditions that are generated by the computation on the coarse grid. Nesting can be repeated on ever decreasing scales using the same type of coordinates for the coarse computations and the nested computations (Cartesian or spherical). Note that curvilinear grids can be used for nested computations but the boundaries should always be rectangular.
The use of unstructured grids in SWAN offers a good alternative to nested models not only because of the ease of optimal adaption of mesh resolution but also the modest effort needed to generate grids about complicated geometries, e.g. islands and irregular shorelines. This type of flexible meshes is particularly useful in coastal regions where the water depth varies greatly. As a result, this variable spatial meshing gives the highest resolution where it is most needed. The use of unstructured grids facilitates to resolve the model area with a relative high accuracy but with a much fewer grid points than with regular grids.
It must be pointed out that the application of SWAN on ocean scales is not recommended from an efficiency point of view. The WAM model and the WAVEWATCH III model, which have been designed specifically for ocean applications, are probably one order of magnitude more efficient than SWAN. SWAN can be run on large scales (much larger than coastal scales) but this option is mainly intended for the transition from ocean scales to coastal scales (transitions where nonstationarity is an issue and spherical coordinates are convenient for nesting).
A general suggestion is: start simple. SWAN helps in this with default options. Furthermore, suggestions are given that should help the user to choose among the many options conditions and in which mode to run SWAN (first-, second- or third-generation mode, stationary or nonstationary and 1D or 2D).
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Types: Software (ocean related)
Languages: English
Countries: Netherlands
Host Countries: Netherlands
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Coastal zone, Modelling, coastal and estuarine studies, waves
Last updated: 04/05/2021
SWASH model (ODIS id: 1784)
http://swash.sourceforge.net/
SWASH is a general-purpose numerical tool for simulating unsteady, non-hydrostatic, free-surface, ro ...
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SWASH model
SWASH is a general-purpose numerical tool for simulating unsteady, non-hydrostatic, free-surface, rotational flow and transport phenomena in coastal waters as driven by waves, tides, buoyancy and wind forces. It provides a general basis for describing wave transformations from deep water to a beach, port or harbour, complex changes to rapidly varied flows, and density driven flows in coastal seas, estuaries, lakes and rivers.
SWASH is a general-purpose numerical tool for simulating unsteady, non-hydrostatic, free-surface, rotational flow and transport phenomena in coastal waters as driven by waves, tides, buoyancy and wind forces. It provides a general basis for describing wave transformations from deep water to a beach, port or harbour, complex changes to rapidly varied flows, and density driven flows in coastal seas, estuaries, lakes and rivers.
Never miss a good session again with Swell Catcher's surf forecast! In addition to the basic forecast parameters (swell, wind and wave), we have developed an innovative algorithm that allows to predict the swell quality when it arrives at the spots. This algorithm calculates a score from 0 to 20 depending on the direction and strength of the winds encountered offshore by the swell. The higher the score, the cleaner the swell.
Never miss a good session again with Swell Catcher's surf forecast! In addition to the basic forecast parameters (swell, wind and wave), we have developed an innovative algorithm that allows to predict the swell quality when it arrives at the spots. This algorithm calculates a score from 0 to 20 depending on the direction and strength of the winds encountered offshore by the swell. The higher the score, the cleaner the swell.
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: France
Sea Region: no searegion defined
Themes: DS03 Physical oceanography, DS05 Atmosphere, no theme defined
Keywords: Ocean Forecasts, mobile phone application, swell
Last updated: 09/12/2021
SwellMap Boat is based on our popular website SwellMap.co.nz providing you with the latest marine weather predictions for hundreds of boating and fishing locations across New Zealand.
SwellMap forecasts are highly accurate and reliable. Forecasts are generated using the latest atmospheric and oceanographic numerical models providing updated information four times daily.
SwellMap provides the following features:
- 7 day sea and wind forecast graphs to make interpreting the boating conditions ahead easy.
- SwellMap boat ratings.
- Detailed daily forecasts providing ratings, summaries, sea height, sea direction, swell height, swell direction, swell period, chop height, tides, wind, gusts, sea temperature, sunset and sunrise.
- Forecast maps of rain/pressure, temperature, wind, wave height, wave period and sea temperature.
- Save your favourite spot forecasts.
- Alerts providing you with notifications when locations are forecasted to match your preferred boating conditions.
SwellMap Boat is based on our popular website SwellMap.co.nz providing you with the latest marine weather predictions for hundreds of boating and fishing locations across New Zealand.
SwellMap forecasts are highly accurate and reliable. Forecasts are generated using the latest atmospheric and oceanographic numerical models providing updated information four times daily.
SwellMap provides the following features:
- 7 day sea and wind forecast graphs to make interpreting the boating conditions ahead easy.
- SwellMap boat ratings.
- Detailed daily forecasts providing ratings, summaries, sea height, sea direction, swell height, swell direction, swell period, chop height, tides, wind, gusts, sea temperature, sunset and sunrise.
- Forecast maps of rain/pressure, temperature, wind, wave height, wave period and sea temperature.
- Save your favourite spot forecasts.
- Alerts providing you with notifications when locations are forecasted to match your preferred boating conditions.
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Types
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Contributing data to
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: New Zealand
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere, no theme defined
Keywords: Modelling, mobile phone application, surf, swell, waves, wind
Last updated: 11/12/2021
SwellMap Surf is based on our popular website SwellMap.co.nz providing you with the latest surf and marine weather predictions for hundreds of spots across New Zealand.
SwellMap forecasts are highly accurate and reliable. Forecasts are generated using the latest atmospheric and oceanographic numerical models providing updated information four times daily.
SwellMap Surf is based on our popular website SwellMap.co.nz providing you with the latest surf and marine weather predictions for hundreds of spots across New Zealand.
SwellMap forecasts are highly accurate and reliable. Forecasts are generated using the latest atmospheric and oceanographic numerical models providing updated information four times daily.
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Types
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Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: New Zealand
Sea Region: Pacific Ocean, Tasman Sea
Themes: DS03 Physical oceanography, DS05 Atmosphere, no theme defined
Keywords: Modelling, mobile phone application, swell, waves, wind
Last updated: 09/12/2021
Symphonie is a Boussinesq hydrostatic ocean circulation model developed by the SIROCCO group. Momentums and tracers are computed on an Arakawa curvilinear C-grid using an energy conserving finite difference method described in Marsaleix el al. (2008). The time stepping method consists of a Leap Frog scheme combined to a Laplacian filter (Marsaleix et al, 2012). The Bentsen et al (1999) horizontal curvilinear Grid is used to increase the horizontal resolution near the coast, meanwhile covering a large area at a reasonable cost while a generalized terrain following coordinate is used for the vertical levels. Meanwhile, the well known sigma coordinate errors reported in Auclair et al (2000) led to the use of a suitable pressure gradient scheme (Marsaleix et al, 2009, 2011). The K-epsilon turbulence closure scheme, including the wave-current effect, has been implemented according to Michaud et al (2012). The various boundary conditions (lateral open borders, river discharges, surface conditions) are discussed in Estournel et al (2009). The large scale forcing terms, included in the radiation conditions formulation, are provided by the daily outputs of the MERCATOR system based on the NEMO model (Maraldi et al, 2013). The high frequency barotropic forcing is provided by the FES2012 tidal model. The astronomical tide potential has been implemented in the momentum equations according to Pairaud et al (2008). The air/sea fluxes are computed by the bulk formulae of Large et Yeager (2004) using the 3 hourly outputs of the ECMWF model.
Symphonie is a Boussinesq hydrostatic ocean circulation model developed by the SIROCCO group. Momentums and tracers are computed on an Arakawa curvilinear C-grid using an energy conserving finite difference method described in Marsaleix el al. (2008). The time stepping method consists of a Leap Frog scheme combined to a Laplacian filter (Marsaleix et al, 2012). The Bentsen et al (1999) horizontal curvilinear Grid is used to increase the horizontal resolution near the coast, meanwhile covering a large area at a reasonable cost while a generalized terrain following coordinate is used for the vertical levels. Meanwhile, the well known sigma coordinate errors reported in Auclair et al (2000) led to the use of a suitable pressure gradient scheme (Marsaleix et al, 2009, 2011). The K-epsilon turbulence closure scheme, including the wave-current effect, has been implemented according to Michaud et al (2012). The various boundary conditions (lateral open borders, river discharges, surface conditions) are discussed in Estournel et al (2009). The large scale forcing terms, included in the radiation conditions formulation, are provided by the daily outputs of the MERCATOR system based on the NEMO model (Maraldi et al, 2013). The high frequency barotropic forcing is provided by the FES2012 tidal model. The astronomical tide potential has been implemented in the momentum equations according to Pairaud et al (2008). The air/sea fluxes are computed by the bulk formulae of Large et Yeager (2004) using the 3 hourly outputs of the ECMWF model.
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Types: Software (ocean related)
Languages: English
Countries: France
Host Countries: France
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Boussinesq hydrostatic ocean circulation model, ocean circulation
Last updated: 13/05/2021
T-UGOm is a 2D/3D ocean dynamics numerical model based on unstructured meshes. Its main distinctive features are:
multi-discretisation capabilities (mostly LGP0, LGP1, NCP1, LGP2, continuous and discontinuous)
Finite volume and finite elements schemes
explicit/semi-implicit tunable
Time step dynamical local sub-cycling
embedded 2D/3D spectral solver for tides
It is developed in C/C++, and provides(domain partion) MPI and OpenMP parallel optimisation. Sources management is based on Mercurial distributed version control system.
T-UGOm is a 2D/3D ocean dynamics numerical model based on unstructured meshes. Its main distinctive features are:
multi-discretisation capabilities (mostly LGP0, LGP1, NCP1, LGP2, continuous and discontinuous)
Finite volume and finite elements schemes
explicit/semi-implicit tunable
Time step dynamical local sub-cycling
embedded 2D/3D spectral solver for tides
It is developed in C/C++, and provides(domain partion) MPI and OpenMP parallel optimisation. Sources management is based on Mercurial distributed version control system.
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Types
Interaction techs
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Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: France
Host Countries: France
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, c++, numerical models, ocean dynamics
Last updated: 13/05/2021
TELEMAC-MASCARET (ODIS id: 1801)
http://www.opentelemac.org/
TELEMAC-MASCARET is an integrated suite of solvers for use in the field of free-surface flow. Having ...
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TELEMAC-MASCARET
TELEMAC-MASCARET is an integrated suite of solvers for use in the field of free-surface flow. Having been used in the context of many studies throughout the world, it has become one of the major standards in its field.
TELEMAC-MASCARET is managed by a consortium of core organisations: Artelia (formerly Sogreah, France), Bundesanstalt für Wasserbau (BAW, Germany), Centre d’Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (CEREMA, France), Daresbury Laboratory (United Kingdom), Electricité de France R&D (EDF, France), and HR Wallingford (United Kingdom).
TELEMAC-MASCARET is used by most partners for dimensioning and impact studies, where safety is prevailing and, for this reason, reliability, validation and a worldwide recognition of our tools are of utmost importance. As a consequence and to improve the access to TELEMAC-MASCARET for the whole community of consultants and researchers, the choice of open source has been made. Anyone can thus take advantage of TELEMAC-MASCARET and assess its performances, and will find necessary resources on this website. However the quality of assistance, maintenance and hotline support are also very important to professional users, and a special effort has been made to offer alternatively a broad range of fee-paying services.
The various simulation modules use high-capacity algorithms based on the finite-element method. Space is discretised in the form of an unstructured grid of triangular elements, which means that it can be refined particularly in areas of special interest. This avoids the need for systematic use of embedded models, as is the case with the finite-difference method.
All the numerical algorithms are gathered into a single library (BIEF) that is shared by all the simulation modules. This makes for consistency throughout the TELEMAC-MASCARET system.
The pre- and post-processing tools are particularly powerful and user-friendly. Most of them are based on the use of Ilog/Views libraries and offer a range of extremely sophisticated functions. The grid can be generated with the generator embedded in the TELEMAC-MASCARET system (MATISSE module, now deprecated) or by others (Blue-Kenue, Janet).
TELEMAC-MASCARET has numerous applications in both river and maritime hydraulics.
The system was developed by the Laboratoire National d'Hydraulique, a department of Electricité de France's Research and Development Division. It is now available as open source, and is developped by the Open Telemac-Mascaret Consortium.
TELEMAC-MASCARET is an integrated suite of solvers for use in the field of free-surface flow. Having been used in the context of many studies throughout the world, it has become one of the major standards in its field.
TELEMAC-MASCARET is managed by a consortium of core organisations: Artelia (formerly Sogreah, France), Bundesanstalt für Wasserbau (BAW, Germany), Centre d’Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (CEREMA, France), Daresbury Laboratory (United Kingdom), Electricité de France R&D (EDF, France), and HR Wallingford (United Kingdom).
TELEMAC-MASCARET is used by most partners for dimensioning and impact studies, where safety is prevailing and, for this reason, reliability, validation and a worldwide recognition of our tools are of utmost importance. As a consequence and to improve the access to TELEMAC-MASCARET for the whole community of consultants and researchers, the choice of open source has been made. Anyone can thus take advantage of TELEMAC-MASCARET and assess its performances, and will find necessary resources on this website. However the quality of assistance, maintenance and hotline support are also very important to professional users, and a special effort has been made to offer alternatively a broad range of fee-paying services.
The various simulation modules use high-capacity algorithms based on the finite-element method. Space is discretised in the form of an unstructured grid of triangular elements, which means that it can be refined particularly in areas of special interest. This avoids the need for systematic use of embedded models, as is the case with the finite-difference method.
All the numerical algorithms are gathered into a single library (BIEF) that is shared by all the simulation modules. This makes for consistency throughout the TELEMAC-MASCARET system.
The pre- and post-processing tools are particularly powerful and user-friendly. Most of them are based on the use of Ilog/Views libraries and offer a range of extremely sophisticated functions. The grid can be generated with the generator embedded in the TELEMAC-MASCARET system (MATISSE module, now deprecated) or by others (Blue-Kenue, Janet).
TELEMAC-MASCARET has numerous applications in both river and maritime hydraulics.
The system was developed by the Laboratoire National d'Hydraulique, a department of Electricité de France's Research and Development Division. It is now available as open source, and is developped by the Open Telemac-Mascaret Consortium.
Technical contact email
please check the record details page
Host institution of the resource
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: REGIONAL
Host Countries: REGIONAL
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, data analysis, finite-difference method, finite-element method, free-surface flow, pre- and post-processing tools, river and maritime hydraulics
Last updated: 08/05/2021
THREDDS Data Server - European High Frequency Radar Node (ODIS id: 698)
THREDDS Data Server - European High Frequency Radar Node
High Frequency Radar (HFR) is the unique land-based remote sensing technology that allows the mapping of ocean surface currents over wide areas with high spatial and temporal resolution. HFR products are applied in many sectors such as research in coastal oceanography and marine environment, safety, coastal management, fish-
ery, navigation and renewable energy. Furthermore, it is expected that HFR data will be systematically ingested in Data Assimilation processes necessary for predictive model adjustment.
HFR technology is rapidly expanding in Europe (at a rate of 7 new systems per year since 2016), with over 62 HFR sites currently operating and a number in the planning stage.
The coordinated development of coastal HFR technology and its products is essential to ensure that the potential of HFRs is fully exploited in the development of the European operational oceanography. The EuroGOOS HFR Task Team is leading, with the support of the European Marine Observation and Data Network (EMODnet), many ongoing initiatives aiming at promoting the HFR technology in Europe. These efforts brought to the the inclusion of HFR data into the major European platforms for marine data distribution, which are: Copernicus Marine Environment Monitoring Service In Situ Thematyic Assembly Center (CMEMS-INSTAC), SeaDataCloud (SDC) and
EMODnet Physics. Building on these achievements, the European HFR Node was established as the infrastructure to drive the needed steps to reach the added-value of a coordinated network like: central archiving, homogenized protocols for data distribution, development of standards for quality assurance, control and data structures.
The European platforms for marine data distribution operate through a decentralized architecture based on National Oceanographic Data Centers (NODC), Production Units (PUs) organized by region for the global ocean and the six European seas and a Global Distribution Unit (DU). The European HFR Node acts as the focal point for the
European HFR data providers toward this decentralized structure, since it implements the HFR data stream from the data providers to the distribution platforms.
The European HFR Node is founded on a simple and very effective rule: if the data provider can set up the data flow according to the defined standards, the node only checks and includes the new catalogue and data stream. If the data centre cannot setup the data flow, the HFR Node harvests the raw data from the provider, harmonizes, quality-controls and formats these data and makes them available.
The strength and flexibility of this solution reside in the architecture of the European HFR node, that is based on a centralized database, fed both by the operators via a webform and by the software routines running on the node, containing updated metadata of the HFR networks and the needed information for processing/archiving the data.
A set of shared software tools uses all those information for processing native HFR data for QC and converting them to the standard format for distribution.
THREDDS Data Server - European High Frequency Radar Node (ODIS id 698)
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THREDDS Data Server - European High Frequency Radar Node
Original (non-English) name
European High Frequency Radar Node Data Catalogue
Acronym
EU HFR NODE
Citation
The data set consists of maps of radial and total velocity of the sea water surface current gathered by the European HFR Network Node established under the coordination of the EuroGOOS HF Radar Task Team. The network nodes are both HF and X-band radars, covering wide areas with different spatial and temporal resolutions. The network has the potential to provide real-time information of the velocity of surface currents and wave parameters. The radar sites are operated according to Quality Assessment procedures and data are processed for Quality Control. Data access tools are compliant to Open Geospatial Consortium (OGC), Climate and Forecast (CF) convention and INSPIRE directive. The use of netCDF format allows an easy implementation of all the open source services developed by UNIDATA.
Abstract
High Frequency Radar (HFR) is the unique land-based remote sensing technology that allows the mapping of ocean surface currents over wide areas with high spatial and temporal resolution. HFR products are applied in many sectors such as research in coastal oceanography and marine environment, safety, coastal management, fish-
ery, navigation and renewable energy. Furthermore, it is expected that HFR data will be systematically ingested in Data Assimilation processes necessary for predictive model adjustment.
HFR technology is rapidly expanding in Europe (at a rate of 7 new systems per year since 2016), with over 62 HFR sites currently operating and a number in the planning stage.
The coordinated development of coastal HFR technology and its products is essential to ensure that the potential of HFRs is fully exploited in the development of the European operational oceanography. The EuroGOOS HFR Task Team is leading, with the support of the European Marine Observation and Data Network (EMODnet), many ongoing initiatives aiming at promoting the HFR technology in Europe. These efforts brought to the the inclusion of HFR data into the major European platforms for marine data distribution, which are: Copernicus Marine Environment Monitoring Service In Situ Thematyic Assembly Center (CMEMS-INSTAC), SeaDataCloud (SDC) and
EMODnet Physics. Building on these achievements, the European HFR Node was established as the infrastructure to drive the needed steps to reach the added-value of a coordinated network like: central archiving, homogenized protocols for data distribution, development of standards for quality assurance, control and data structures.
The European platforms for marine data distribution operate through a decentralized architecture based on National Oceanographic Data Centers (NODC), Production Units (PUs) organized by region for the global ocean and the six European seas and a Global Distribution Unit (DU). The European HFR Node acts as the focal point for the
European HFR data providers toward this decentralized structure, since it implements the HFR data stream from the data providers to the distribution platforms.
The European HFR Node is founded on a simple and very effective rule: if the data provider can set up the data flow according to the defined standards, the node only checks and includes the new catalogue and data stream. If the data centre cannot setup the data flow, the HFR Node harvests the raw data from the provider, harmonizes, quality-controls and formats these data and makes them available.
The strength and flexibility of this solution reside in the architecture of the European HFR node, that is based on a centralized database, fed both by the operators via a webform and by the software routines running on the node, containing updated metadata of the HFR networks and the needed information for processing/archiving the data.
A set of shared software tools uses all those information for processing native HFR data for QC and converting them to the standard format for distribution.
The data set consists of maps of radial and total velocity of the sea water surface current gathered by the European HFR Network Node established under the coordination of the EuroGOOS HF Radar Task Team. The network nodes are both HF and X-band radars, covering wide areas with different spatial and temporal resolutions. The network has the potential to provide real-time information of the velocity of surface currents and wave parameters. The radar sites are operated according to Quality Assessment procedures and data are processed for Quality Control. Data access tools are compliant to Open Geospatial Consortium (OGC), Climate and Forecast (CF) convention and INSPIRE directive. The use of netCDF format allows an easy implementation of all the open source services developed by UNIDATA.
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Europe
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Data catalogue, Data systems/portals (allowing downloading of data sets), Software (ocean related)
Languages: English, Italian
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: Adriatic Sea, Aegean Sea, Alboran Sea, Balearic Sea, Baltic Sea, Bay of Biscay, Mediterranean Region, Mediterranean Sea, North Sea, Tyrrhenian Sea, World
Themes: DS03 Physical oceanography, DS06 Cross-discipline, DS10 Environment, DS11 Fisheries and aquaculture, DS12 Human activities
Keywords: Best practices, HF radar, Marine, Ocean Observing System, Spatial data, metadata, ocean circulation, ocean currents, operational oceanography, physics, remote sensing, waves
Last updated: 10/11/2021
Tidal Analysis Program in PYthon (TAPPY) uses the least squares optimization function from scipy to perform a harmonic analysis (calculate amplitude and phases of a set of sine waves) of a hourly time series of water level values.
Tidal Analysis Program in PYthon (TAPPY) uses the least squares optimization function from scipy to perform a harmonic analysis (calculate amplitude and phases of a set of sine waves) of a hourly time series of water level values.
Technical contact email
please check the record details page
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
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Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: python, tidal analysis, tides, time-series
Last updated: 16/05/2021
Finally a beautiful and simple way to view tides on your mobile device! In addition to worldwide tidal estimates, you can see the lunar data, weather forecast, and current radar making your next outdoor adventure as easy to plan as possible.
By default, the application will pick the closest station to you, but picking a different station is as easy as viewing a map of your current location. You can also setup and quickly switch between many stored favorite stations if you need to.
No internet access while outdoors? No problem. This app has been designed to give you tidal and lunar predictions without internet access!
Finally a beautiful and simple way to view tides on your mobile device! In addition to worldwide tidal estimates, you can see the lunar data, weather forecast, and current radar making your next outdoor adventure as easy to plan as possible.
By default, the application will pick the closest station to you, but picking a different station is as easy as viewing a map of your current location. You can also setup and quickly switch between many stored favorite stations if you need to.
No internet access while outdoors? No problem. This app has been designed to give you tidal and lunar predictions without internet access!
Technical contact email
please check the record details page
Host institution of the resource
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
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Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: mobile phone application, tides, tides forecast, weather foreast
Last updated: 13/12/2021
Toolbox - Australia’s Integrated Marine Observing System (ODIS id: 1777)
Toolbox - Australia’s Integrated Marine Observing System
The IMOS Toolbox aims at converting oceanographic instrument files into quality-controlled IMOS compliant NetCDF files.
The toolbox process instruments deployed on moorings (time series) or during casts (profiles). The processing, including quality control (QC) of several oceanographic variables, can be done in batch mode or interactive.
Finally, the package allows deployment metadata to be ingested into the files from any JDBC supported database (including MS-access), CSV files, or added manually through a graphical user interface (GUI). Manual QC is also possible.
Toolbox - Australia’s Integrated Marine Observing System (ODIS id 1777)
Toolbox - Australia’s Integrated Marine Observing System
Original (non-English) name
Acronym
Toolbox - IMOS
Citation
Abstract
The IMOS Toolbox aims at converting oceanographic instrument files into quality-controlled IMOS compliant NetCDF files.
The toolbox process instruments deployed on moorings (time series) or during casts (profiles). The processing, including quality control (QC) of several oceanographic variables, can be done in batch mode or interactive.
Finally, the package allows deployment metadata to be ingested into the files from any JDBC supported database (including MS-access), CSV files, or added manually through a graphical user interface (GUI). Manual QC is also possible.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Australia
Host Countries: Australia
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: Integrated Marine Observing System, NetCDF, matlab, oceanography, quality control, time-series
Last updated: 18/12/2021
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL, United States
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: Argo, Sensor networks, biogeochemical cycle, data harmonization, oceanographic data, oceanographic instruments, research network, tool description
Last updated: 04/09/2021
Tools - Marine Geomatics Research Lab (ODIS id: 1885)
Welcome to our lab website! Our group is specialized in multidisciplinary research looking at geospatial/geographic methods for better understanding and managing marine environments.
Our research includes work in marine conservation, marine protected areas, fisheries, marine ecology, marine habitat mapping and many other topics. Have a look at our members, our projects and our publications!
Tools - Marine Geomatics Research Lab (ODIS id 1885)
Welcome to our lab website! Our group is specialized in multidisciplinary research looking at geospatial/geographic methods for better understanding and managing marine environments.
Our research includes work in marine conservation, marine protected areas, fisheries, marine ecology, marine habitat mapping and many other topics. Have a look at our members, our projects and our publications!
Technical contact email
please check the record details page
Host institution of the resource
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Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Canada
Host Countries: Canada
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: conservation, geospatial/geographic methods, habitat mapping, marine protected areas
Last updated: 26/04/2021
Tools and Technologies - NASA's Global Hydrology Resource Center (ODIS id: 1864)
Tools and Technologies - NASA's Global Hydrology Resource Center
The GHRC tools and technologies have been developed at the Global Hydrology Resource Center and the Information Technology and Systems Center at The University of Alabama in Huntsville.
The mission of the GHRC DAAC is to provide a comprehensive active archive of both data and knowledge augmentation services with a focus on hazardous weather, its governing dynamical and physical processes, and associated applications. Within this broad mandate, GHRC will focus on lightning, tropical cyclones and storm-induced hazards through integrated collections of satellite, airborne, and in-situ data sets.
Tools and Technologies - NASA's Global Hydrology Resource Center (ODIS id 1864)
Tools and Technologies - NASA's Global Hydrology Resource Center
Original (non-English) name
Acronym
Tools and Technologies - GHRC
Citation
Abstract
The GHRC tools and technologies have been developed at the Global Hydrology Resource Center and the Information Technology and Systems Center at The University of Alabama in Huntsville.
The mission of the GHRC DAAC is to provide a comprehensive active archive of both data and knowledge augmentation services with a focus on hazardous weather, its governing dynamical and physical processes, and associated applications. Within this broad mandate, GHRC will focus on lightning, tropical cyclones and storm-induced hazards through integrated collections of satellite, airborne, and in-situ data sets.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS06 Cross-discipline
Keywords: data analysis, data discovey, data services
Last updated: 21/04/2021
Tools Services - Atmospheric Science Data Center (ODIS id: 1462)
The Atmospheric Science Data Center (ASDC) is in the Science Directorate located at the NASA Langley Research Center (LaRC), in Hampton, Virginia. The Science Directorate's Climate Science Branch, Atmospheric Composition Branch, and Chemistry and Dynamics Branch work with ASDC to study changes in the Earth and its atmosphere. Data products translate those findings into meaningful knowledge that inspires action by scientists, educators, decision makers, and the public. The ASDC supports over 60 projects and provides access to more than 1000 archived collections. These data sets were created from satellite measurements, field experiments, and modeled data products. The ASDC projects focus on the Earth science disciplines Radiation Budget, Clouds, Aerosols, and Tropospheric Composition.
The Data Center was established in 1991 to support the Earth Observing System (EOS) as part of NASA's Earth Science enterprise and the U.S. Global Change Research Program, and is one of several Distributed Active Archive Centers (DAACs) sponsored by NASA as part of the Earth Observing System Data and Information System (EOSDIS). The Data Center specializes in atmospheric data important to understanding the causes and processes of global climate change and the consequences of human activities on the climate.
All ASDC data are available to the public from the Explore Collections page. Detailed information about the data products, including documentation, ordering tools, and tools for working with the data, are available for each project ASDC supports. Some of the data products include web interfaces that allow direct access to the data holdings for immediate downloading.
Enhanced search and subsetting capabilities are available for CALIPSO, CERES, MISR, MOPITT, TAD and TES data by accessing their individual search applications respectfully. Please visit our Tools and Services page for a complete listing of all data search and order tools accessible from the ASDC.
ASDC customers include scientists; researchers; federal, state, and local governments; educational and commercial professionals; application users; the commercial remote sensing community; and the general public.
Tools Services - Atmospheric Science Data Center (ODIS id 1462)
The data obtained from the ASDC are free of charge for use in research, publications and commercial applications. When data from the ASDC are used in a publication, we request this acknowledgment be included: "These data were obtained from the NASA Langley Research Center Atmospheric Science Data Center." Please include such statements, either where the use of the data or other resource is described, or within the Acknowledgements section of the publication.
Abstract
The Atmospheric Science Data Center (ASDC) is in the Science Directorate located at the NASA Langley Research Center (LaRC), in Hampton, Virginia. The Science Directorate's Climate Science Branch, Atmospheric Composition Branch, and Chemistry and Dynamics Branch work with ASDC to study changes in the Earth and its atmosphere. Data products translate those findings into meaningful knowledge that inspires action by scientists, educators, decision makers, and the public. The ASDC supports over 60 projects and provides access to more than 1000 archived collections. These data sets were created from satellite measurements, field experiments, and modeled data products. The ASDC projects focus on the Earth science disciplines Radiation Budget, Clouds, Aerosols, and Tropospheric Composition.
The Data Center was established in 1991 to support the Earth Observing System (EOS) as part of NASA's Earth Science enterprise and the U.S. Global Change Research Program, and is one of several Distributed Active Archive Centers (DAACs) sponsored by NASA as part of the Earth Observing System Data and Information System (EOSDIS). The Data Center specializes in atmospheric data important to understanding the causes and processes of global climate change and the consequences of human activities on the climate.
All ASDC data are available to the public from the Explore Collections page. Detailed information about the data products, including documentation, ordering tools, and tools for working with the data, are available for each project ASDC supports. Some of the data products include web interfaces that allow direct access to the data holdings for immediate downloading.
Enhanced search and subsetting capabilities are available for CALIPSO, CERES, MISR, MOPITT, TAD and TES data by accessing their individual search applications respectfully. Please visit our Tools and Services page for a complete listing of all data search and order tools accessible from the ASDC.
ASDC customers include scientists; researchers; federal, state, and local governments; educational and commercial professionals; application users; the commercial remote sensing community; and the general public.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere
Keywords: Climate change, climate, climate data, climate research, climate variations, climatology, data access, data analysis, data and tools, data discovey, data distribution, data exploration, data ingestion, data management, data portal, data products, data services, environment, environmental data, environmental information, environmental science, open access, open data, research data, research infrastructure
Last updated: 29/05/2021
Ocean Maps offers the world’s first interactive 3D maps for scuba divers and snorkelers.
"Top Scuba" is our App for professional dive centers and businesses.
Discover the best dive sites in the most popular diving areas of the world in 3D. Prepare for your underwater adventure by going on natural-view dive simulations based on exact geographical data. Discover what hot spots and tours are waiting to be explored.
Ocean Maps offers the world’s first interactive 3D maps for scuba divers and snorkelers.
"Top Scuba" is our App for professional dive centers and businesses.
Discover the best dive sites in the most popular diving areas of the world in 3D. Prepare for your underwater adventure by going on natural-view dive simulations based on exact geographical data. Discover what hot spots and tours are waiting to be explored.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Austria
Sea Region: World
Themes: DS12 Human activities
Keywords: mobile phone application, scuba diving
Last updated: 11/12/2021
Tracers Climatology and Initialization Field Files (ODIS id: 1928)
Tracers Climatology and Initialization Field Files
SalishSeaCast NEMO Model Tracer Climatology and Initialization Field Files.
Tracer boundary condition climatology files and domain initialization files for the SalishSeaCast NEMO model. Included are temperature, salinity, nutrients, and biological tracers.
Many of these files originated in the (private) https://bitbucket.org/salishsea/nemo-forcing repository. The commit message history of files from that repository is included in their initial commit messages.
Tracers Climatology and Initialization Field Files (ODIS id 1928)
Tracers Climatology and Initialization Field Files
Original (non-English) name
Acronym
Citation
Abstract
SalishSeaCast NEMO Model Tracer Climatology and Initialization Field Files.
Tracer boundary condition climatology files and domain initialization files for the SalishSeaCast NEMO model. Included are temperature, salinity, nutrients, and biological tracers.
Many of these files originated in the (private) https://bitbucket.org/salishsea/nemo-forcing repository. The commit message history of files from that repository is included in their initial commit messages.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Canada
Host Countries: GLOBAL
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, NetCDF
Last updated: 01/05/2021
TRACMASS (ODIS id: 2435)
https://www.tracmass.org/
TRACMASS is a Lagrangian trajectory code for ocean and atmospheric general circulation models. The c ...
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TRACMASS
TRACMASS is a Lagrangian trajectory code for ocean and atmospheric general circulation models. The code makes it possible to estimate water paths, Lagrangian stream functions (barotropic, overturning, etc.), exchange times, etc. TRACMASS has been used in studies of the global ocean circulation, of sea circulation in the Baltic Sea, the Mediterranean Sea and in coastal regions.
The code is written in FORTRAN 90 with modules and runs on UNIX platforms such as MAC OS X and Linux.
TRACMASS has been set up to run with velocities integrated with models such as NEMO or IFS-ECMWF, of satellite datasets such as AVISO.
Cite as Aldama-Campino, Aitor, Döös, Kristofer, Kjellsson, Joakim, & Jönsson, Bror. (2020, December 17). TRACMASS: Formal release of version 7.0 (Version v7.0-beta). Zenodo. http://doi.org/10.5281/zenodo.4337926
Abstract
TRACMASS is a Lagrangian trajectory code for ocean and atmospheric general circulation models. The code makes it possible to estimate water paths, Lagrangian stream functions (barotropic, overturning, etc.), exchange times, etc. TRACMASS has been used in studies of the global ocean circulation, of sea circulation in the Baltic Sea, the Mediterranean Sea and in coastal regions.
The code is written in FORTRAN 90 with modules and runs on UNIX platforms such as MAC OS X and Linux.
TRACMASS has been set up to run with velocities integrated with models such as NEMO or IFS-ECMWF, of satellite datasets such as AVISO.
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Types: Software (ocean related)
Languages: English
Countries: Germany, United Kingdom, Sweden
Host Countries: Sweden
Sea Region: no searegion defined
Themes: DS03 Physical oceanography
Keywords: lagrangian transport, ocean circulation, ocean modelling, wave propagation
Last updated: 05/02/2022
Fortran core of TRACMASS + Python wrapping around the outside.
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: L3C products, TRACMASS, lagrangian trajectories
Last updated: 16/05/2021
Training material - Copernicus Marine Environment Monitoring Service In Situ Thematic Assembly Centre (ODIS id: 1975)
Training material - Copernicus Marine Environment Monitoring Service In Situ Thematic Assembly Centre
Jupyter Notebooks, priorly known as IPython Notebooks, allow in-browser editing for both code and rich text (using the Markdown markup language to provide commentary for the code) as well as execution capabilities of code, with the results of computations attached (i.e plots). The ability to display both code and results inline, as well as live editing, is why the In Situ component of the Copernicus Marine Environment Monitoring Service (CMEMS) has developed with them examples of data downloading and processing (or how-to-handle netCDFs!).
Although there are other tools for netCDF manipulation as well as other ways for INSTAC data downloading (CMEMS Catalogue), we highly recommend you to start with this in-browser application as first approach in understanding INSTAC FTP structure for file exchange and INSTAC data storage (netCDF files). Additional features such as exportation to python scripts for task automatization (i.e crontab) make such notebooks even more attractive.
A subset of examples are listed here, but you may find more at INSTAC github.
INSTAC has been participating in at least two workshops per year since 2015. Here you can find the presentations used during these training sessions. All presentations include a brief introduction to the CMEMS in situ particularities as CMEMS provider of ON-SITE observations followed by a more detailed presentation of a regional distribution unit (i.e IBI, GLO, MED, BAL, ARC etc). La Spezia and Lisbon presentations are particularly useful for checking different NetCDF tools.
Training material - Copernicus Marine Environment Monitoring Service In Situ Thematic Assembly Centre (ODIS id 1975)
Training material - Copernicus Marine Environment Monitoring Service In Situ Thematic Assembly Centre
Original (non-English) name
Acronym
Training material - CMEMS In Situ TAC
Citation
Abstract
Jupyter Notebooks, priorly known as IPython Notebooks, allow in-browser editing for both code and rich text (using the Markdown markup language to provide commentary for the code) as well as execution capabilities of code, with the results of computations attached (i.e plots). The ability to display both code and results inline, as well as live editing, is why the In Situ component of the Copernicus Marine Environment Monitoring Service (CMEMS) has developed with them examples of data downloading and processing (or how-to-handle netCDFs!).
Although there are other tools for netCDF manipulation as well as other ways for INSTAC data downloading (CMEMS Catalogue), we highly recommend you to start with this in-browser application as first approach in understanding INSTAC FTP structure for file exchange and INSTAC data storage (netCDF files). Additional features such as exportation to python scripts for task automatization (i.e crontab) make such notebooks even more attractive.
A subset of examples are listed here, but you may find more at INSTAC github.
INSTAC has been participating in at least two workshops per year since 2015. Here you can find the presentations used during these training sessions. All presentations include a brief introduction to the CMEMS in situ particularities as CMEMS provider of ON-SITE observations followed by a more detailed presentation of a regional distribution unit (i.e IBI, GLO, MED, BAL, ARC etc). La Spezia and Lisbon presentations are particularly useful for checking different NetCDF tools.
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Types: Education and training materials (related to oceans), Software (ocean related)
Languages: English
Countries: REGIONAL
Host Countries: France, REGIONAL
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere
Keywords: monitoring programmes, monitoring system, oceanographic data, oceanographic research, oceanography, operational oceanography, research network
Last updated: 24/06/2021
https://github.com/ices-taf
Repositories of fully functional ICES stock assessments.
Making the data, methods and results from ...
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Transparent Assessment Framework - ICES
Repositories of fully functional ICES stock assessments.
Making the data, methods and results from ICES assessments easy to find, explore and re-run The Transparent Assessment Framework (TAF) is an online open resource of ICES stock assessments for each assessment year. All data input and output is fully traceable and versioned.
The open framework enables anyone to easily find, reference, download, and run the assessment from any stage in the process leading to the published ICES advice for a given stock.
Transparent Assessment Framework - ICES (ODIS id 1857)
Repositories of fully functional ICES stock assessments.
Making the data, methods and results from ICES assessments easy to find, explore and re-run The Transparent Assessment Framework (TAF) is an online open resource of ICES stock assessments for each assessment year. All data input and output is fully traceable and versioned.
The open framework enables anyone to easily find, reference, download, and run the assessment from any stage in the process leading to the published ICES advice for a given stock.
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Types: Software (ocean related)
Languages: English
Countries: Denmark
Host Countries: Denmark
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: ICES stock assessments, r-package, stock assessment, stock balance
Last updated: 09/05/2021
Pawlowicz, R., B. Beardsley, and S. Lentz, "Classical Tidal "Harmonic Analysis Including Error Estimates in MATLAB using T_TIDE", Computers and Geosciences, 28, 929-937 (2002).
Abstract
A direct conversion of T_Tide to Python
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: python, tidal analysis, tides
Last updated: 16/05/2021
User code library - Australia’s Integrated Marine Observing System (ODIS id: 1780)
User code library - Australia’s Integrated Marine Observing System
IMOS (Integrated Marine Observing System, http://imos.org.au/) is designed to be a fully integrated national array of observing equipments monitoring the open oceans and coastal marine environment around Australia, covering physical, chemical and biological variables. All IMOS data is freely and openly available through the IMOS Ocean Portal for the benefit of Australian marine and climate science as a whole.
Most of the IMOS data is stored as NetCDF files (see http://www.unidata.ucar.edu for more information regarding NetCDF). Some IMOS data users are not familiar with the netCDF format. A wide range of tools is already available online to help NetCDF users, but there is also a need for users who don't know where to start to include NetCDF files in their workflow.
The purpose of the IMOS user code library is to provide a ready to go code solution to incorporate data from NetCDF files in their working environment, starting with a NetCDF parser.
Please visit the wiki page to see examples on how to use this User Code Library: https://github.com/aodn/imos-user-code-library/wiki
User code library - Australia’s Integrated Marine Observing System (ODIS id 1780)
User code library - Australia’s Integrated Marine Observing System
Original (non-English) name
Acronym
User code library - IMOS
Citation
Abstract
IMOS (Integrated Marine Observing System, http://imos.org.au/) is designed to be a fully integrated national array of observing equipments monitoring the open oceans and coastal marine environment around Australia, covering physical, chemical and biological variables. All IMOS data is freely and openly available through the IMOS Ocean Portal for the benefit of Australian marine and climate science as a whole.
Most of the IMOS data is stored as NetCDF files (see http://www.unidata.ucar.edu for more information regarding NetCDF). Some IMOS data users are not familiar with the netCDF format. A wide range of tools is already available online to help NetCDF users, but there is also a need for users who don't know where to start to include NetCDF files in their workflow.
The purpose of the IMOS user code library is to provide a ready to go code solution to incorporate data from NetCDF files in their working environment, starting with a NetCDF parser.
Please visit the wiki page to see examples on how to use this User Code Library: https://github.com/aodn/imos-user-code-library/wiki
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Types: Software (ocean related)
Languages: English
Countries: Australia
Host Countries: Australia
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: Integrated Marine Observing System, NetCDF, data access, matlab, python
Last updated: 18/12/2021
Developed by our very own Joy Young the VEMco Biotelemetry User Database (VEMBU) is an access database used to store receiver and sensor metadata, download logs, and tagging metadata. The VEMBU has a lot of useful tools and outputs as well as a means to format data easily to be put into the FACT Datanode – the FACT Network’s detection sharing hub created by the Ocean Tracking Network. The VEMBU is named in honor of our friend Vembu Subramanian, a big supporter of the FACT Network who was taken from us too soon.
VEMco Biotelemetry User Database - FACT Network (ODIS id 2389)
Developed by our very own Joy Young the VEMco Biotelemetry User Database (VEMBU) is an access database used to store receiver and sensor metadata, download logs, and tagging metadata. The VEMBU has a lot of useful tools and outputs as well as a means to format data easily to be put into the FACT Datanode – the FACT Network’s detection sharing hub created by the Ocean Tracking Network. The VEMBU is named in honor of our friend Vembu Subramanian, a big supporter of the FACT Network who was taken from us too soon.
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: no searegion defined
Themes: DS01 Biological oceanography, DS10 Environment, DS11 Fisheries and aquaculture
Keywords: data analysis, data management, data visualization, metadata, telemetry
Last updated: 13/09/2021
Veros, the versatile ocean simulator, is just that: A powerful tool that makes high-performance ocean modeling approachable and fun. Since it is a pure Python module, the days of struggling with complicated model setup workflows, ancient programming environments, and obscure legacy code are finally over.
Veros supports both a NumPy backend for small-scale problems and a fully parallelized high-performance backend powered by Bohrium using either OpenMP (CPU) or OpenCL (GPU), and runs on distributed architectures via MPI.
A good starting point to gain an overview of Veros' design, performance, and capabilities are these slides of a talk on Veros held during the 98th Annual Meeting of the American Meteorological Society.
The underlying numerics are based on pyOM2, an ocean model developed by Carsten Eden (Institut für Meereskunde, Hamburg University). Veros is currently being developed at Niels Bohr Institute, Copenhagen University.
Dion Häfner, René Løwe Jacobsen, Roman Nuterman, & Mads R. B. Kristensen. (2018, January 25). dionhaefner/veros: Veros on PyPI (Version v0.1.1). Zenodo. http://doi.org/10.5281/zenodo.1158868
Abstract
Veros, the versatile ocean simulator, is just that: A powerful tool that makes high-performance ocean modeling approachable and fun. Since it is a pure Python module, the days of struggling with complicated model setup workflows, ancient programming environments, and obscure legacy code are finally over.
Veros supports both a NumPy backend for small-scale problems and a fully parallelized high-performance backend powered by Bohrium using either OpenMP (CPU) or OpenCL (GPU), and runs on distributed architectures via MPI.
A good starting point to gain an overview of Veros' design, performance, and capabilities are these slides of a talk on Veros held during the 98th Annual Meeting of the American Meteorological Society.
The underlying numerics are based on pyOM2, an ocean model developed by Carsten Eden (Institut für Meereskunde, Hamburg University). Veros is currently being developed at Niels Bohr Institute, Copenhagen University.
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Types: Software (ocean related)
Languages: English
Countries: Denmark
Host Countries: Denmark
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: geophysics, oceanography, python
Last updated: 30/04/2021
Video Annotation and Reference System - Monterey Bay Aquarium Research Institute (ODIS id: 2347)
Video Annotation and Reference System - Monterey Bay Aquarium Research Institute
The Video Annotation and Reference System (VARS) is a software interface and database system that provides tools for describing, cataloging, retrieving, and viewing the visual, descriptive, and quantitative data associated with MBARI’s deep-sea video archives. Information about VARS is available on the pages listed below (or from the navigation bar at right).
Video Annotation and Reference System - Monterey Bay Aquarium Research Institute (ODIS id 2347)
Video Annotation and Reference System - Monterey Bay Aquarium Research Institute
Original (non-English) name
Acronym
VARS - MBARI
Citation
Abstract
The Video Annotation and Reference System (VARS) is a software interface and database system that provides tools for describing, cataloging, retrieving, and viewing the visual, descriptive, and quantitative data associated with MBARI’s deep-sea video archives. Information about VARS is available on the pages listed below (or from the navigation bar at right).
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: no searegion defined
Themes: DS01 Biological oceanography, DS04 Marine geology, no theme defined
Keywords: data analysis, database, deep sea, image processing
Last updated: 02/12/2021
VirCon is a tool to simulate the effects of planning choices. How does this work now? Using tools such as the Digitwin map application and the MSP challenge, you will discover the most interesting locations based on carefully chosen map layers. Then you open the VirCon environment and the numbers come to life.
VirCon is a tool to simulate the effects of planning choices. How does this work now? Using tools such as the Digitwin map application and the MSP challenge, you will discover the most interesting locations based on carefully chosen map layers. Then you open the VirCon environment and the numbers come to life.
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Types: Software (ocean related)
Languages: Dutch
Countries: Netherlands
Host Countries: Netherlands
Sea Region: no searegion defined
Themes: DS06 Cross-discipline
Keywords: data visualization, decision-making, interactive visualisations, tool description
Last updated: 25/01/2022
The Virtual Oceans VR app will provide users with a unique, innovative opportunity to experience a series of dives at key locations in the world’s oceans in a submersible. The dives are designed to provide students with 3D interactive visualisations of the complex ocean and how ocean processes vary across the planet. When integrated with exercises around scientific observations or critical real-world problems such as ocean acidification (e.g. as part of Open University module S309), it will provide students with an opportunity to gather observations from a submersible and experience practical ocean science
The Virtual Oceans VR app will provide users with a unique, innovative opportunity to experience a series of dives at key locations in the world’s oceans in a submersible. The dives are designed to provide students with 3D interactive visualisations of the complex ocean and how ocean processes vary across the planet. When integrated with exercises around scientific observations or critical real-world problems such as ocean acidification (e.g. as part of Open University module S309), it will provide students with an opportunity to gather observations from a submersible and experience practical ocean science
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Types: Software (ocean related)
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS12 Human activities
Keywords: Training and education, interactive visualisations, marine science, mobile phone application, virtual reality
Last updated: 23/12/2021
Virtual Research Environments - Blue-Cloud (ODIS id: 2398)
The Blue-Cloud project is federating distributed marine data resources, computing platforms, and analytical services to better understand and manage the many aspects of ocean sustainability. In order to do so, a “Blue-Cloud technical framework” has been set-up, where leading marine data management infrastructures are federated with horizontal e-infrastructures to maximise the exploitation of data resources available from different sources.
The Blue-Cloud framework consists of two major technical components: a Blue-Cloud Data Discovery and Access service to serve federated discovery and access to blue data infrastructures, and a Blue-Cloud Virtual Research Environment (VRE) to provide computing platforms and analytical services facilitating the collaboration between researchers.
Each Blue-Cloud VRE includes services that facilitate collaboration between users, services supporting the execution of analytical tasks embedded in a distributed computing infrastructure, as well as services enabling the co-creation of entire Virtual Laboratories, aimed at realising open science-friendly working environments.
The Blue-Cloud VREs are developed by the Italian National Research Council (CNR), built on the D4Science infrastructure and the gCube open source technology, and offered via the Blue-Cloud Gateway which makes the services and Virtual Laboratories available. Thanks to Blue-Cloud, scientists and practitioners are able not only to easily access different sets of marine data but also to process and experiment with them via the analytical and visual tools made available by each demonstrator.
Virtual Research Environments - Blue-Cloud (ODIS id 2398)
The Blue-Cloud project is federating distributed marine data resources, computing platforms, and analytical services to better understand and manage the many aspects of ocean sustainability. In order to do so, a “Blue-Cloud technical framework” has been set-up, where leading marine data management infrastructures are federated with horizontal e-infrastructures to maximise the exploitation of data resources available from different sources.
The Blue-Cloud framework consists of two major technical components: a Blue-Cloud Data Discovery and Access service to serve federated discovery and access to blue data infrastructures, and a Blue-Cloud Virtual Research Environment (VRE) to provide computing platforms and analytical services facilitating the collaboration between researchers.
Each Blue-Cloud VRE includes services that facilitate collaboration between users, services supporting the execution of analytical tasks embedded in a distributed computing infrastructure, as well as services enabling the co-creation of entire Virtual Laboratories, aimed at realising open science-friendly working environments.
The Blue-Cloud VREs are developed by the Italian National Research Council (CNR), built on the D4Science infrastructure and the gCube open source technology, and offered via the Blue-Cloud Gateway which makes the services and Virtual Laboratories available. Thanks to Blue-Cloud, scientists and practitioners are able not only to easily access different sets of marine data but also to process and experiment with them via the analytical and visual tools made available by each demonstrator.
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Types: Software (ocean related)
Languages: English
Countries: REGIONAL
Host Countries: REGIONAL
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere, DS06 Cross-discipline, DS10 Environment, DS11 Fisheries and aquaculture
Keywords: FAIRness, Virtual Research Environment, fisheries, genomics, open science, plankton
Last updated: 29/04/2022
This VRE supports the FAO Capacity Development Workshops on Stock Status Assessment and Estimation of SDG Indicator 14.4.1 led by Dr Yimin YE, FAO FIAF Branch Chief and Dr Anne-Elise NIEBLAS.
This workshop is part of FAO's initiative to support the process of Sustainable Development Goals (SDGs) by raising awareness and providing technical training on the SDG 14.4.1 Indicator: Percentage of biologically sustainable fish stocks.
This VRE supports the FAO Capacity Development Workshops on Stock Status Assessment and Estimation of SDG Indicator 14.4.1 led by Dr Yimin YE, FAO FIAF Branch Chief and Dr Anne-Elise NIEBLAS.
This workshop is part of FAO's initiative to support the process of Sustainable Development Goals (SDGs) by raising awareness and providing technical training on the SDG 14.4.1 Indicator: Percentage of biologically sustainable fish stocks.
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Education and training materials (related to oceans), Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: Capacity Development, SDG indicator, SDG14, Stock Status Assessment, Sustainable Development Goals, Virtual Research Environment, fisheries, fisheries management, fisheries statistics, sustainable development, sustainable fisheries
Last updated: 09/10/2021
WAFO (ODIS id: 1815)
https://pypi.org/project/wafo/
WAFO is a toolbox Python routines for statistical analysis and simulation of
random waves and rando ...
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WAFO
WAFO is a toolbox Python routines for statistical analysis and simulation of
random waves and random loads.
WAFO is a toolbox of Matlab routines for statistical analysis and simulation of random waves and random loads. WAFO is freely redistributable software, see WAFO licence and contain tools for:
Fatigue Analysis
Fatigue life prediction for random loads
Theoretical density of rainflow cycles
Sea modelling
Simulation of linear and non-linear Gaussian waves
Estimation of frequency spectra and directional wave spectra
Model spectra (JONSWAP, Torsethaugen, Bretschneider, Pierson-Moskowitz,...)
Joint wave height, wave steepness, wave period distributions
Statistics
Extreme value analysis
Multivariate Gaussian probabilities and expectations
Profile log-likelihood analysis (Available in next release)
Regression analysis (Available in next release)
Hypothesis tests (one-sample and two sample T-test, Wilcoxon signed rank and rank-sum test,....)
Kernel density estimation (Fast data-gridders with various bandwidth selectors)
Hidden markov models
Probability distributions and random number generators (Beta, Chi-2, Exponential, Gamma, GPD, GEV, Gumbel, Inverse Gaussian, Lognormal, Normal, Rayleigh, Students-T, Weibull,...)
Bootstrap (Available in next release)
Design of Experiments
Numerics
Derivatives (gradient, hessian, jacobian) (Available in next release)
Integration (Gaussian quadratures (1D and 2D), simpson, Clenshaw-Curtis)
Smoothing spline
The toolbox also contains scripts for generation of plots in some publications and scripts for comparison with results in the literature. Data sets from measurements of the sea surface are included.
WAFO replaces the two toolboxes Wave Analysis Toolbox (WAT) and Fatigue Analysis Toolbox (FAT). The development of numerical methods for calculating distributions of random waves dates back to the 70's, which is detailed in the next section.
WAFO is developed for use with Matlab version 5.x/6.x/7.x./8.x/9.x. Some routines call programs written in Fortran. Versions for PC/Windows and Unix environments are available.
We encourage you to submit new code for possible inclusion in future versions of WAFO.
Wave Analysis for Fatigue and Oceanography (ODIS id 1899)
WAFO is a toolbox of Matlab routines for statistical analysis and simulation of random waves and random loads. WAFO is freely redistributable software, see WAFO licence and contain tools for:
Fatigue Analysis
Fatigue life prediction for random loads
Theoretical density of rainflow cycles
Sea modelling
Simulation of linear and non-linear Gaussian waves
Estimation of frequency spectra and directional wave spectra
Model spectra (JONSWAP, Torsethaugen, Bretschneider, Pierson-Moskowitz,...)
Joint wave height, wave steepness, wave period distributions
Statistics
Extreme value analysis
Multivariate Gaussian probabilities and expectations
Profile log-likelihood analysis (Available in next release)
Regression analysis (Available in next release)
Hypothesis tests (one-sample and two sample T-test, Wilcoxon signed rank and rank-sum test,....)
Kernel density estimation (Fast data-gridders with various bandwidth selectors)
Hidden markov models
Probability distributions and random number generators (Beta, Chi-2, Exponential, Gamma, GPD, GEV, Gumbel, Inverse Gaussian, Lognormal, Normal, Rayleigh, Students-T, Weibull,...)
Bootstrap (Available in next release)
Design of Experiments
Numerics
Derivatives (gradient, hessian, jacobian) (Available in next release)
Integration (Gaussian quadratures (1D and 2D), simpson, Clenshaw-Curtis)
Smoothing spline
The toolbox also contains scripts for generation of plots in some publications and scripts for comparison with results in the literature. Data sets from measurements of the sea surface are included.
WAFO replaces the two toolboxes Wave Analysis Toolbox (WAT) and Fatigue Analysis Toolbox (FAT). The development of numerical methods for calculating distributions of random waves dates back to the 70's, which is detailed in the next section.
WAFO is developed for use with Matlab version 5.x/6.x/7.x./8.x/9.x. Some routines call programs written in Fortran. Versions for PC/Windows and Unix environments are available.
We encourage you to submit new code for possible inclusion in future versions of WAFO.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
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Countries owning the source
Sea Region
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DOI's
Types
Interaction techs
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Types: Software (ocean related)
Languages: English
Countries: Norway
Host Countries: Norway
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: data analysis, fortran, oceanography, python, waves
Last updated: 26/04/2021
The WAM wave model is a 3rd generation wave model, developed by the Wave Model Development and Implementation Group (WAMDI, 1988). It was developed to resolve known issues with first generation wave models (which erroneously used a non-existent universal high-frequency equilibrium wave spectrum) and second generation wave models (which could not properly simulate complex wave fields generated by rapidly changing winds, as for example occurs with hurricanes, small-scale cyclones or fronts).
The WAM model is a 3rd generation model which integrates the basic transport equation describing the evolution of a two-dimensional ocean wave spectrum without additional unplanned assumptions regarding the spectral shape. There are three explicit source functions which describe the wind input, non-linear transfer and whitecapping dissipation. There is an additional bottom dissipation source function and refraction terms are included in the finite-depth version of the model. The model runs on a spherical latitude-longitude grid and can be used in any ocean region.
WAM predicts directional spectra along with wave properties such as significant wave height, mean wave direction and frequency, swell wave height and mean direction, and wind stress fields corrected by including the wave induced stress and the drag coefficient at each grid point at chosen output times.
WAM can be coupled to a range of other models. Examples include the South East Asian Ocean Model (SEAOM), the Proudman Oceanographic Laboratory Coastal Ocean Modelling System ( POLCOMS ), the Nucleus for European Modelling of the Ocean model (NEMO), the High Resolution Limited Area Model (HIRLAM) model and the National Center for Atmospheric Research (NCAR) Regional Climate Model (RegCM).
The WAM wave model is a 3rd generation wave model, developed by the Wave Model Development and Implementation Group (WAMDI, 1988). It was developed to resolve known issues with first generation wave models (which erroneously used a non-existent universal high-frequency equilibrium wave spectrum) and second generation wave models (which could not properly simulate complex wave fields generated by rapidly changing winds, as for example occurs with hurricanes, small-scale cyclones or fronts).
The WAM model is a 3rd generation model which integrates the basic transport equation describing the evolution of a two-dimensional ocean wave spectrum without additional unplanned assumptions regarding the spectral shape. There are three explicit source functions which describe the wind input, non-linear transfer and whitecapping dissipation. There is an additional bottom dissipation source function and refraction terms are included in the finite-depth version of the model. The model runs on a spherical latitude-longitude grid and can be used in any ocean region.
WAM predicts directional spectra along with wave properties such as significant wave height, mean wave direction and frequency, swell wave height and mean direction, and wind stress fields corrected by including the wave induced stress and the drag coefficient at each grid point at chosen output times.
WAM can be coupled to a range of other models. Examples include the South East Asian Ocean Model (SEAOM), the Proudman Oceanographic Laboratory Coastal Ocean Modelling System ( POLCOMS ), the Nucleus for European Modelling of the Ocean model (NEMO), the High Resolution Limited Area Model (HIRLAM) model and the National Center for Atmospheric Research (NCAR) Regional Climate Model (RegCM).
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Types: Software (ocean related)
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, numerical models, waves
Last updated: 16/05/2021
WAVEWATCH III Model - NOAA (ODIS id: 1790)
https://github.com/NOAA-EMC/WW3
WAVEWATCH III® is a community wave modeling framework that includes the latest scientific advanceme ...
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WAVEWATCH III Model - NOAA
WAVEWATCH III® is a community wave modeling framework that includes the latest scientific advancements in the field of wind-wave modeling and dynamics.
WAVEWATCH III® solves the random phase spectral action density balance equation for wavenumber-direction spectra. The model includes options for shallow-water (surf zone) applications, as well as wetting and drying of grid points. Propagation of a wave spectrum can be solved using regular (rectilinear or curvilinear) and unstructured (triangular) grids. See About WW3 for a detailed description of WAVEWATCH III® .
WAVEWATCH III® is a community wave modeling framework that includes the latest scientific advancements in the field of wind-wave modeling and dynamics.
WAVEWATCH III® solves the random phase spectral action density balance equation for wavenumber-direction spectra. The model includes options for shallow-water (surf zone) applications, as well as wetting and drying of grid points. Propagation of a wave spectrum can be solved using regular (rectilinear or curvilinear) and unstructured (triangular) grids. See About WW3 for a detailed description of WAVEWATCH III® .
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Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: Modelling, fortran, numerical models, numerical simulations, surfzone, waves
Last updated: 06/05/2021
Web GIS Services - INFOMAR (ODIS id: 1441)
https://www.infomar.ie/services
A Web Map Service (WMS) is a standard protocol developed for serving maps and data over the Internet ...
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Web GIS Services - INFOMAR
A Web Map Service (WMS) is a standard protocol developed for serving maps and data over the Internet. A WMS is hosted on a remote server and can be accessed by any open Geographic Information Systems (GIS) software similar to a website. These services are useful for GIS professionals to add INFOMAR data to their own maps or web developers and to add data to online web mapping viewers.
Please note that some datasets are scale-dependent and will not be visible until you zoom in. In addition to these we have many other services available in our website.
A Web Map Service (WMS) is a standard protocol developed for serving maps and data over the Internet. A WMS is hosted on a remote server and can be accessed by any open Geographic Information Systems (GIS) software similar to a website. These services are useful for GIS professionals to add INFOMAR data to their own maps or web developers and to add data to online web mapping viewers.
Please note that some datasets are scale-dependent and will not be visible until you zoom in. In addition to these we have many other services available in our website.
Web Map Service - General Bathymetric Chart of the Oceans
The GEBCO grid is available as a Web Map Service (WMS), a means of accessing geo-referenced map images over the internet. These maps can be viewed in a web browser or Geographic Information System (GIS) and incorporated in your own web application.
Layers are available for the latest GEBCO grid, GEBCO_2020, as a shaded relief image or 'flat' map and the GEBCO Type Identifier (TID) grid. These layers can be viewed in a web browser or Geographic Information System (GIS) and incorporated in your own web application.
Web Map Service - General Bathymetric Chart of the Oceans (ODIS id 1706)
Web Map Service - General Bathymetric Chart of the Oceans
Original (non-English) name
Acronym
WMS - GEBCO
Citation
Abstract
The GEBCO grid is available as a Web Map Service (WMS), a means of accessing geo-referenced map images over the internet. These maps can be viewed in a web browser or Geographic Information System (GIS) and incorporated in your own web application.
Layers are available for the latest GEBCO grid, GEBCO_2020, as a shaded relief image or 'flat' map and the GEBCO Type Identifier (TID) grid. These layers can be viewed in a web browser or Geographic Information System (GIS) and incorporated in your own web application.
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Types: Maps and atlases (geospatial products), Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: no searegion defined
Themes: DS04 Marine geology
Keywords: bathymetry, geo-referenced data, geo-referenced map images, maps collection, oceanographic data, seafloor features
Last updated: 03/06/2021
Web Services - Global Multi-Resolution Topography Synthesis (ODIS id: 3024)
Web Services - Global Multi-Resolution Topography Synthesis
GMRT Open Geospatial Consortium (OGC) WxS Services
Our Web Map Services (WMS) are available in three projections and allow any OGC-enabled client to access map imagery from our Global Multi-Resolution Topography (GMRT) Synthesis.
GMRT REST-type Services: GMRT GridServer, GMRT ImageServer, GMRT Profile Server, GMRT Point Server , and GMRT Cruise Info.
Web Services - Global Multi-Resolution Topography Synthesis (ODIS id 3024)
Web Services - Global Multi-Resolution Topography Synthesis
Original (non-English) name
Acronym
Web Services - GMRT
Citation
Abstract
GMRT Open Geospatial Consortium (OGC) WxS Services
Our Web Map Services (WMS) are available in three projections and allow any OGC-enabled client to access map imagery from our Global Multi-Resolution Topography (GMRT) Synthesis.
GMRT REST-type Services: GMRT GridServer, GMRT ImageServer, GMRT Profile Server, GMRT Point Server , and GMRT Cruise Info.
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography
Keywords: bathymetry, data services
Last updated: 21/12/2021
Webservices - World register of marine species (ODIS id: 2160)
The aim of a World Register of Marine Species (WoRMS) is to provide an authoritative and comprehensive list of names of marine organisms, including information on synonymy. While the highest priority goes to valid names, other names in use are included so that this register can serve as a guide to interpret taxonomic literature.
The content of WoRMS is controlled by taxonomic and thematic experts, not by database managers. WoRMS has an editorial management system where each taxonomic group is represented by an expert who has the authority over the content, and is responsible for controlling the quality of the information. Each of these main taxonomic editors can invite several specialists of smaller groups within their area of responsibility to join them.
This register of marine species grew out of the European Register of Marine Species (ERMS), and its combination with several other species registers maintained at the Flanders Marine Institute (VLIZ). Rather than building separate registers for all projects, and to make sure taxonomy used in these different projects is consistent, VLIZ developed a consolidated database called ‘Aphia’. A list of marine species registers included in Aphia is available here. MarineSpecies.org is the web interface for the marine taxa available in this Aphia database. WoRMS combines information from Aphia with other authoritative marine species lists which are maintained by others (e.g. AlgaeBase, FishBase), the so-called 'externally hosted and managed species databases'.
Resources to build MarineSpecies.org and Aphia were provided mainly by the EU Network of Excellence ‘Marine Biodiversity and Ecosystem Functioning’ (MarBEF), and also by the EU funded Species 2000 Europe and ERMS projects.
Aphia contains valid species names, synonyms and vernacular names, and extra information such as literature and biogeographic data. Besides species names, Aphia also contains the higher classification in which each scientific name is linked to its parent taxon. The classification used is a ‘compromise’ between established systems and recent changes. Its aim is to aid data management, rather than suggest any taxonomic or phylogenetic opinion on species relationships.
Keeping WoRMS up-to-date is a continuous process. New information is entered daily by the taxonomic editors and by the members of our data management team. Often data also come in from contributions of large datasets, such as global or regional species lists. No database of this size is without errors and omissions. We can’t promise to make no errors, but we do promise to follow up and give feedback on any communications pointing out errors. Feedback is very welcome!
Webservices - World register of marine species (ODIS id 2160)
The aim of a World Register of Marine Species (WoRMS) is to provide an authoritative and comprehensive list of names of marine organisms, including information on synonymy. While the highest priority goes to valid names, other names in use are included so that this register can serve as a guide to interpret taxonomic literature.
The content of WoRMS is controlled by taxonomic and thematic experts, not by database managers. WoRMS has an editorial management system where each taxonomic group is represented by an expert who has the authority over the content, and is responsible for controlling the quality of the information. Each of these main taxonomic editors can invite several specialists of smaller groups within their area of responsibility to join them.
This register of marine species grew out of the European Register of Marine Species (ERMS), and its combination with several other species registers maintained at the Flanders Marine Institute (VLIZ). Rather than building separate registers for all projects, and to make sure taxonomy used in these different projects is consistent, VLIZ developed a consolidated database called ‘Aphia’. A list of marine species registers included in Aphia is available here. MarineSpecies.org is the web interface for the marine taxa available in this Aphia database. WoRMS combines information from Aphia with other authoritative marine species lists which are maintained by others (e.g. AlgaeBase, FishBase), the so-called 'externally hosted and managed species databases'.
Resources to build MarineSpecies.org and Aphia were provided mainly by the EU Network of Excellence ‘Marine Biodiversity and Ecosystem Functioning’ (MarBEF), and also by the EU funded Species 2000 Europe and ERMS projects.
Aphia contains valid species names, synonyms and vernacular names, and extra information such as literature and biogeographic data. Besides species names, Aphia also contains the higher classification in which each scientific name is linked to its parent taxon. The classification used is a ‘compromise’ between established systems and recent changes. Its aim is to aid data management, rather than suggest any taxonomic or phylogenetic opinion on species relationships.
Keeping WoRMS up-to-date is a continuous process. New information is entered daily by the taxonomic editors and by the members of our data management team. Often data also come in from contributions of large datasets, such as global or regional species lists. No database of this size is without errors and omissions. We can’t promise to make no errors, but we do promise to follow up and give feedback on any communications pointing out errors. Feedback is very welcome!
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Types
Interaction techs
Contributing data to
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Belgium
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: Marine Species, aphia, data discovey, data services
Last updated: 24/08/2021
Web Services Catalogue - International Council for the Exploration of the Sea (ODIS id: 176)
Web Services Catalogue - International Council for the Exploration of the Sea
GeoNetwork catalog application to manage ICES web services. It provides powerful metadata editing and search functions as well as an interactive web map viewer.
Web Services Catalogue - International Council for the Exploration of the Sea (ODIS id 176)
Web Services Catalogue - International Council for the Exploration of the Sea
Original (non-English) name
Acronym
Web Services Catalogue - ICES
Citation
Abstract
GeoNetwork catalog application to manage ICES web services. It provides powerful metadata editing and search functions as well as an interactive web map viewer.
Web services documentation - European Marine Observation and Data Network Biology
The EMODnet Biology data are available as a Web Feature Service (WFS) in accordance with the Open Geospatial Consortium (OGC) specifications. This webservice supports requests for geographical feature data (with vector geometry and attributes). The base link for performing a WFS request to EMODnet Biology is:
https://geo.vliz.be/geoserver/Dataportal/ows?
Essentially, the Download Toolbox developed by EMODnet Biology acts as an interactive builder for WFS requests . The URL to the WFS request can be copied to the clipboard at the last step of the selection in the Download Toolbox.
Web services documentation - European Marine Observation and Data Network Biology (ODIS id 2155)
Web services documentation - European Marine Observation and Data Network Biology
Original (non-English) name
Acronym
Web services documentation - EMODnet Biology
Citation
Abstract
The EMODnet Biology data are available as a Web Feature Service (WFS) in accordance with the Open Geospatial Consortium (OGC) specifications. This webservice supports requests for geographical feature data (with vector geometry and attributes). The base link for performing a WFS request to EMODnet Biology is:
https://geo.vliz.be/geoserver/Dataportal/ows?
Essentially, the Download Toolbox developed by EMODnet Biology acts as an interactive builder for WFS requests . The URL to the WFS request can be copied to the clipboard at the last step of the selection in the Download Toolbox.
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Types
Interaction techs
Contributing data to
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Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Belgium
Sea Region: Adriatic Sea, Aegean Sea, Alboran Sea, Baltic Sea, Barents Sea, Bay of Biscay, Bay of Bothnia, Black Sea, Bothnian Sea, Bristol Channel, Celtic Sea, Central Baltic Sea, English Channel, Greenland Sea, Gulf of Bothnia, Gulf of Finland, Iceland Sea, Ionian Sea, Irish Sea, Kattegat, Mediterranean Region, Mediterranean Sea, Mediterranean Sea, Eastern Basin, Mediterranean Sea, Western Basin, North Sea, Northeast Atlantic Ocean (40W), Northwest Atlantic Ocean (40W), Norwegian Sea, Skagerrak, Strait of Gibraltar
Themes: DS01 Biological oceanography
Keywords: Marine Species, biodiversity, biology, data services, marine biodiversity, open access, open data
Last updated: 15/05/2021
Weesurf: wind and waves forecast and social report (ODIS id: 3206)
Weesurf: wind and waves forecast and social report
WeeSurf is a french start-up which has been created in 2015 by Maxime Laine, Arthur Berteloot and Ronan Baudet.
WeeSurf application provides worldwide HD surf forecast. With our interactive digital map you can easily localise every useful spot for surfers.
Weesurf recommends you when and where you can go surfing, kitesurfing, windsurfing, sailing, stand-up paddle boarding, based on the most reliable weather forecasts, your location and your level. Become a member of the community, follow your friends, meet new people and share your sessions together.
Weesurf: wind and waves forecast and social report (ODIS id 3206)
Weesurf: wind and waves forecast and social report
Original (non-English) name
Acronym
Citation
Abstract
WeeSurf is a french start-up which has been created in 2015 by Maxime Laine, Arthur Berteloot and Ronan Baudet.
WeeSurf application provides worldwide HD surf forecast. With our interactive digital map you can easily localise every useful spot for surfers.
Weesurf recommends you when and where you can go surfing, kitesurfing, windsurfing, sailing, stand-up paddle boarding, based on the most reliable weather forecasts, your location and your level. Become a member of the community, follow your friends, meet new people and share your sessions together.
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: France
Sea Region: no searegion defined
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: Modelling, mobile phone application, swell, waves, wind
Last updated: 09/12/2021
Whale Alert App (ODIS id: 3224)
http://www.whalealert.org/
Whale Alert is a network of non-profit institutions, government agencies, shipping and technology co ...
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Whale Alert App
Whale Alert is a network of non-profit institutions, government agencies, shipping and technology companies focused on reducing lethal ship strikes of whales.
Whale Alert helps reduce the chance of fatal ship strikes by large vessels by displaying active whale management areas, required reporting areas, recommended routes, areas-to-be-avoided and near real-time warnings in shipping lanes along both coasts of the United States and Canada. This information allows vessel operators to avoid collision with whales by slowing down and heightening their visual awareness.ore waters (out to 5 miles) at a fraction of the cost of traditional military-grade systems. The M2 software downloads radar data and mirrors it in a friendly user-interface that can be stored and replayed via the cloud. The M2 software can further improve MPA monitoring with the optional integration of a Automatic Identification System (AIS) sensor and high-definition pan-tilt-zoom video camera.
Whale Alert now supports reporting of whale sightings by the maritime community and the broader public. This information is shared in real-time with leading whale researchers and state and federal management authorities. In some cases, whale sightings will trigger confirmation “over-flights” by the National Marine Fisheries Service (NMFS) or the United States Coast Guard (USCG) who will then determine whether or not temporary speed restrictions should be created (Dynamic Management Areas).
Whale Alert is a network of non-profit institutions, government agencies, shipping and technology companies focused on reducing lethal ship strikes of whales.
Whale Alert helps reduce the chance of fatal ship strikes by large vessels by displaying active whale management areas, required reporting areas, recommended routes, areas-to-be-avoided and near real-time warnings in shipping lanes along both coasts of the United States and Canada. This information allows vessel operators to avoid collision with whales by slowing down and heightening their visual awareness.ore waters (out to 5 miles) at a fraction of the cost of traditional military-grade systems. The M2 software downloads radar data and mirrors it in a friendly user-interface that can be stored and replayed via the cloud. The M2 software can further improve MPA monitoring with the optional integration of a Automatic Identification System (AIS) sensor and high-definition pan-tilt-zoom video camera.
Whale Alert now supports reporting of whale sightings by the maritime community and the broader public. This information is shared in real-time with leading whale researchers and state and federal management authorities. In some cases, whale sightings will trigger confirmation “over-flights” by the National Marine Fisheries Service (NMFS) or the United States Coast Guard (USCG) who will then determine whether or not temporary speed restrictions should be created (Dynamic Management Areas).
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Types
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Contributing data to
Obtaining data from
Types: Maps and atlases (geospatial products), Software (ocean related)
Languages: English, French
Countries: GLOBAL
Host Countries: United States
Sea Region: Atlantic Ocean, Bay of Fundy, Beaufort Sea, Bering Sea, Bering Strait, Coastal Waters of Southeast Alaska and British Columbia, Gulf of Alaska, Gulf of Mexico, Gulf of St. Lawrence, World
Themes: DS06 Cross-discipline, DS07 Administration and dimensions, DS12 Human activities
Keywords: AIS vessel tracking, Cetaceans, WebGIS, citizen science, conservation, mobile phone application, open access, vessel density
Last updated: 12/10/2021
The FACT Network is a grassroots collaboration of marine scientists using acoustic telemetry and other technologies to better understand and conserve our region’s important fish and sea turtle species. The FACT Network originated as the Florida Atlantic Coast Telemetry Network but has since grown to include partners from the Bahamas to the Carolinas (and is growing everyday) and is now know simply as the FACT Network.
The FACT Network is a grassroots collaboration of marine scientists using acoustic telemetry and other technologies to better understand and conserve our region’s important fish and sea turtle species. The FACT Network originated as the Florida Atlantic Coast Telemetry Network but has since grown to include partners from the Bahamas to the Carolinas (and is growing everyday) and is now know simply as the FACT Network.
Types: Manuals, guidelines, standards and best practices, Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: Gulf of Mexico, Northwest Atlantic Ocean (40W), Straits of Florida
Themes: DS01 Biological oceanography, DS10 Environment
Keywords: data analysis, data visualization, telemetry
Last updated: 25/04/2022
A restricted web-based application deployed the RV Investigator to capture bird, cetacean and seals sightings, their behaviors and associated abiotic data. Data is copied from the vessel into an on-shore repository for analysis and eventual public publication via Data Trawler (ODIS id: 160) and OBIS Australia IPT (ODIS id: 161)
A restricted web-based application deployed the RV Investigator to capture bird, cetacean and seals sightings, their behaviors and associated abiotic data. Data is copied from the vessel into an on-shore repository for analysis and eventual public publication via Data Trawler (ODIS id: 160) and OBIS Australia IPT (ODIS id: 161)
Software is open source and written in Lucee. It is available on request. Currently deployed on Postgres and Oracle databases.
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: Australia
Host Countries: Australia
Sea Region: Coral Sea, Great Australian Bight, Great Barrier Reef (Coastal Waters), Gulf of Carpentaria, Indian Ocean, Southern Ocean, Tasman Sea
Themes: DS01 Biological oceanography
Keywords: Cetaceans, Marine birds , Seals
Last updated: 24/11/2021
Wind, weather, tides and waves anywhere in the world for sports like kitesurfing, sailing, windsurfing, surfing, wing foiling, cycling, fishing, paragliding, hiking and for all who are interested in detailed wind and weather forecasts and reports.
Reliable wind and weather forecasts assure that you will always find the location with the best wind, wave and weather conditions. Windfinder also displays the current wind measurements and weather observations for your best real time understanding of the weather conditions. Easy to use and with a clear user interface.
Windfinder: Wind forecast Weather Tides Waves (ODIS id 3203)
Wind, weather, tides and waves anywhere in the world for sports like kitesurfing, sailing, windsurfing, surfing, wing foiling, cycling, fishing, paragliding, hiking and for all who are interested in detailed wind and weather forecasts and reports.
Reliable wind and weather forecasts assure that you will always find the location with the best wind, wave and weather conditions. Windfinder also displays the current wind measurements and weather observations for your best real time understanding of the weather conditions. Easy to use and with a clear user interface.
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Data policy
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Germany
Sea Region: no searegion defined
Themes: DS03 Physical oceanography, DS05 Atmosphere, DS12 Human activities
Keywords: Modelling, mobile phone application, waves, wind
Last updated: 09/12/2021
Windy.app: worldwide wind and weather forecast (ODIS id: 3208)
Windy.app is a professional weather app, created for water and wind sports and all outdoor activities.
Get a detailed online 10 day weather forecast, live worldwide wind map and local weather reports from the most accurate weather models.
Compare spot conditions, ask locals in the app chat, discover meteo lessons, and share your experience in our Windy.app Community.
Be sure with Windy.app.
Wind, waves and weather forecast app for surfers, kitesurfers, windsurfers and sailors.
We are 15’000’000 users community always in search of wind. WINDY has all must-have parameters for kitesurfing, windsurfing, fishing, sailing, surfing etc. Only WINDY provides you up-to-date weather forecast worldwide.
Windy.app: worldwide wind and weather forecast (ODIS id 3208)
Windy.app is a professional weather app, created for water and wind sports and all outdoor activities.
Get a detailed online 10 day weather forecast, live worldwide wind map and local weather reports from the most accurate weather models.
Compare spot conditions, ask locals in the app chat, discover meteo lessons, and share your experience in our Windy.app Community.
Be sure with Windy.app.
Wind, waves and weather forecast app for surfers, kitesurfers, windsurfers and sailors.
We are 15’000’000 users community always in search of wind. WINDY has all must-have parameters for kitesurfing, windsurfing, fishing, sailing, surfing etc. Only WINDY provides you up-to-date weather forecast worldwide.
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please check the record details page
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Countries owning the source
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Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related), no type defined
Languages: German, English, Spanish, French, Indonesian, Italian, Japanese, Korean, Malay, Dutch, Portuguese, Russian, Turkish, Vietnamese, Chinese
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere, no theme defined
Keywords: Modelling, mobile phone application, waves, weather, weather foreast, wind
Last updated: 09/12/2021
WIO Symphony: a tool for cumulative impact assessment in the Western Indian Ocean (ODIS id: 3290)
WIO Symphony: a tool for cumulative impact assessment in the Western Indian Ocean
WIO Symphony is a tool based on more than 80 ecology and human activity maps. It supports ecosystem-based Marine Spatial Planning by calculating cumulative impact over large areas and illustrating those that are under specific pressures. The tool also shows how different planning and policy measures can lead to a positive environmental impact in an area. Marine Spatial Planning is a process that enables evidence-based decision-making by providing guidance when deciding when, where and how human economic activities should take place in the ocean. Well-executed MSP can foster a sustainable blue economy.
WIO Symphony: a tool for cumulative impact assessment in the Western Indian Ocean (ODIS id 3290)
WIO Symphony: a tool for cumulative impact assessment in the Western Indian Ocean
Original (non-English) name
Acronym
Citation
Nairobi Convention (2024). Western Indian Ocean Symphony: a tool for ecosystem-based marine spatial planning. URL: https://symphony.nairobiconvention.org/
Abstract
WIO Symphony is a tool based on more than 80 ecology and human activity maps. It supports ecosystem-based Marine Spatial Planning by calculating cumulative impact over large areas and illustrating those that are under specific pressures. The tool also shows how different planning and policy measures can lead to a positive environmental impact in an area. Marine Spatial Planning is a process that enables evidence-based decision-making by providing guidance when deciding when, where and how human economic activities should take place in the ocean. Well-executed MSP can foster a sustainable blue economy.
Wisuki is a powerful wind, waves, weather and tide forecast app with advanced features that allows you to instantly find best spots based on your preferred conditions, and analyze forecast data with an unprecedented level of detail.
Wisuki helps you to plan even better your outdoor activities like surfing, kitesurfing, windsurfing, fishing, sailing, paragliding, biking and more.
Wisuki is a powerful wind, waves, weather and tide forecast app with advanced features that allows you to instantly find best spots based on your preferred conditions, and analyze forecast data with an unprecedented level of detail.
Wisuki helps you to plan even better your outdoor activities like surfing, kitesurfing, windsurfing, fishing, sailing, paragliding, biking and more.
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please check the record details page
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Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: Spain
Sea Region: no searegion defined
Themes: DS03 Physical oceanography, DS05 Atmosphere, DS12 Human activities
Keywords: Modelling, Ocean Forecasts, mobile phone application, ocean forecasting, tides, waves, weather, wind
Last updated: 02/12/2021
https://github.com/IQuOD/wodpy
World Ocean Database data is encoded by a specification described. This WodProfile class reads this ...
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wodpy package - International Quality controlled Ocean Database
World Ocean Database data is encoded by a specification described. This WodProfile class reads this format and returns an object with functions to help extract useful information from it.
wodpy package - International Quality controlled Ocean Database (ODIS id 1896)
wodpy package - International Quality controlled Ocean Database
Original (non-English) name
Acronym
wodpy - IQuOD
Citation
Bill Mills, Guilherme Castelão, Simon Good, & Rowan Winsemius. (2020, January 11). IQuOD/wodpy: 1.6.2 (Version 1.6.2). Zenodo. http://doi.org/10.5281/zenodo.3605168
Abstract
World Ocean Database data is encoded by a specification described. This WodProfile class reads this format and returns an object with functions to help extract useful information from it.
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: United Arab Emirates
Sea Region: World
Themes: DS02 Chemical oceanography, DS03 Physical oceanography
Keywords: python, world ocean database
Last updated: 26/04/2021
World Aquaculture Performance Indicators - FAO (ODIS id: 1046)
World Aquaculture Performance Indicators (WAPI) is an endeavor initiated by the FAO Fisheries and Aquaculture Department to develop user-friendly tools for compiling, generating and providing easy access to quantitative information on aquaculture sector performance at the national, regional and global levels. Information and knowledge products developed under WAPI include data analysis tools and associated technical papers and policy briefs.
World Aquaculture Performance Indicators - FAO (ODIS id 1046)
Fisheries and aquaculture software. World Aquaculture Performance Indicators (WAPI). In: FAO Fisheries Division [online]. Rome. Updated 31 January 2020. [Cited 14 November 2020]. http://www.fao.org/fishery/
Abstract
World Aquaculture Performance Indicators (WAPI) is an endeavor initiated by the FAO Fisheries and Aquaculture Department to develop user-friendly tools for compiling, generating and providing easy access to quantitative information on aquaculture sector performance at the national, regional and global levels. Information and knowledge products developed under WAPI include data analysis tools and associated technical papers and policy briefs.
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Software (ocean related)
Languages: Arabic, English, Spanish, French, Russian, Chinese
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: Information and knowledge products, World Aquaculture Performance Indicators, aquaculture, aquaculture sector performance, quantitative information
Last updated: 09/10/2021
World continent and ocean - SHANKARRAOPURA (ODIS id: 3200)
This application has been created keeping in view all competitive examinations and also very useful application for school students.
All computer examinations about the oceans of the world continents are asked, like SSC UPSC, IAS Rajasthan Police Patwar etc.
World continent and ocean - SHANKARRAOPURA (ODIS id 3200)
This application has been created keeping in view all competitive examinations and also very useful application for school students.
All computer examinations about the oceans of the world continents are asked, like SSC UPSC, IAS Rajasthan Police Patwar etc.
Technical contact email
please check the record details page
Host institution of the resource
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
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Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: India
Sea Region: no searegion defined
Themes: DS12 Human activities
Keywords: education, mobile phone application
Last updated: 11/12/2021
“World Oceans Day takes place annually on the 8th of June. The concept was originally proposed in 1992 by Canada's International Centre for Ocean Development (ICOD) and the Ocean Institute of Canada (OIC) at the Earth Summit – UN Conference on Environment and Development (UNCED) in Rio de Janeiro, Brazil.World Oceans Day was officially recognised by the United Nations in 2008.”
Excerption from https://en.wikipedia.org/wiki/World_Oceans_Day
World Oceans Day is a special occasion - an event to celebrate the ocean across the globe. With the ocean facing more danger than ever, lets us come together to protect our treasured sea life. A celebration what our ocean mean for our survival and prosperity.
We celebrate World Oceans Day to remind us all the major role the oceans have in our everyday life. An opportunity to perceive the significance of our common ocean and humankind's reliance on a solid blue planet for our survival.
World Oceans Day is a festival of the globe's sea. Each year it has different theme and comprised many events programme related to ocean environment. And this action - unites the world and develops collaborative conservation each day of the year for our blue planet.
As we all know, ocean are fundamental to food security, the well-being and survival of all life, power our environmental and are a basic piece of our planet, earth. Therefore, World Oceans Day is important to celebrate, a way to inspire us all to take action to protect our sea life.
May our app aid to raise global awareness in relation with the oceans. Just by sharing our e-card include with your special wishes, can help to protect and preserve ocean’s life.
Features World Oceans Day app:
- Simple, user-friendly interface and safe for your device.
- Easy to use and download.
- Variety of World Oceans Day greeting card to choose
- Save phone memory space; you have an option to save the image or not.
- Add your own ocean messages or quotes to the e-cards before click to send.
- Share images and greetings directly to social networking apps such as Facebook, WhatsApp, Instagram, SMS, Twitter, and more.
Attribution - ecard images by:
Design vector created by freepik - https://www.freepik.com/
World Oceans Day Vectors by Vecteezy - https://www.vecteezy.com/
All quotes intellectual property belongs to it’s own creator and we don’t declare any claim of copyright for individual quotations.
We just provide a way to share to earth’s community.
“World Oceans Day takes place annually on the 8th of June. The concept was originally proposed in 1992 by Canada's International Centre for Ocean Development (ICOD) and the Ocean Institute of Canada (OIC) at the Earth Summit – UN Conference on Environment and Development (UNCED) in Rio de Janeiro, Brazil.World Oceans Day was officially recognised by the United Nations in 2008.”
Excerption from https://en.wikipedia.org/wiki/World_Oceans_Day
World Oceans Day is a special occasion - an event to celebrate the ocean across the globe. With the ocean facing more danger than ever, lets us come together to protect our treasured sea life. A celebration what our ocean mean for our survival and prosperity.
We celebrate World Oceans Day to remind us all the major role the oceans have in our everyday life. An opportunity to perceive the significance of our common ocean and humankind's reliance on a solid blue planet for our survival.
World Oceans Day is a festival of the globe's sea. Each year it has different theme and comprised many events programme related to ocean environment. And this action - unites the world and develops collaborative conservation each day of the year for our blue planet.
As we all know, ocean are fundamental to food security, the well-being and survival of all life, power our environmental and are a basic piece of our planet, earth. Therefore, World Oceans Day is important to celebrate, a way to inspire us all to take action to protect our sea life.
May our app aid to raise global awareness in relation with the oceans. Just by sharing our e-card include with your special wishes, can help to protect and preserve ocean’s life.
Features World Oceans Day app:
- Simple, user-friendly interface and safe for your device.
- Easy to use and download.
- Variety of World Oceans Day greeting card to choose
- Save phone memory space; you have an option to save the image or not.
- Add your own ocean messages or quotes to the e-cards before click to send.
- Share images and greetings directly to social networking apps such as Facebook, WhatsApp, Instagram, SMS, Twitter, and more.
Attribution - ecard images by:
Design vector created by freepik - https://www.freepik.com/
World Oceans Day Vectors by Vecteezy - https://www.vecteezy.com/
All quotes intellectual property belongs to it’s own creator and we don’t declare any claim of copyright for individual quotations.
We just provide a way to share to earth’s community.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
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Countries owning the source
Sea Region
Spatial Coverage
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Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS12 Human activities
Keywords: conservation, mobile phone application, oceans
Last updated: 11/12/2021
The world of seas and oceans provides information about seas, lakes and oceans
The oddity of the world of the seas and oceans and the wonders of the seas
Secrets of the world of oceans and lakes and the most beautiful lakes of Egypt
Application features
Easy to use
Without Net
Do not forget to support us by evaluating us with five stars in order to encourage us to provide the best and do not forget to inform us of the additions that you want
The world of seas and oceans provides information about seas, lakes and oceans
The oddity of the world of the seas and oceans and the wonders of the seas
Secrets of the world of oceans and lakes and the most beautiful lakes of Egypt
Application features
Easy to use
Without Net
Do not forget to support us by evaluating us with five stars in order to encourage us to provide the best and do not forget to inform us of the additions that you want
Technical contact email
please check the record details page
Host institution of the resource
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Countries owning the source
Sea Region
Spatial Coverage
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Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: Arabic
Countries: Egypt
Host Countries: Egypt
Sea Region: World
Themes: DS06 Cross-discipline, DS12 Human activities
Keywords: education, mobile phone application
Last updated: 12/12/2021
Client for World Register of Marine Species (). Includes functions for each of the API methods, including searching for names by name, date and common names, searching using external identifiers, fetching synonyms, as well as fetching taxonomic children and taxonomic classification.
Client for World Register of Marine Species (). Includes functions for each of the API methods, including searching for names by name, date and common names, searching using external identifiers, fetching synonyms, as well as fetching taxonomic children and taxonomic classification.
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please check the record details page
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Countries owning the source
Sea Region
Spatial Coverage
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Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: API-wrapper, Fish, Marine, Marine Species, biology, data analysis, r-package, taxonomy
Last updated: 22/04/2021
WRF Model (ODIS id: 1785)
https://github.com/wrf-model/WRF
The Weather Research and Forecasting (WRF) Model is a next-generation mesoscale numerical weather pr ...
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WRF Model
The Weather Research and Forecasting (WRF) Model is a next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility. The model serves a wide range of meteorological applications across scales from tens of meters to thousands of kilometers. The effort to develop WRF began in the latter 1990's and was a collaborative partnership of the National Center for Atmospheric Research (NCAR), the National Oceanic and Atmospheric Administration (represented by the National Centers for Environmental Prediction (NCEP) and the Earth System Research Laboratory), the U.S. Air Force, the Naval Research Laboratory, the University of Oklahoma, and the Federal Aviation Administration (FAA).
For researchers, WRF can produce simulations based on actual atmospheric conditions (i.e., from observations and analyses) or idealized conditions. WRF offers operational forecasting a flexible and computationally-efficient platform, while reflecting recent advances in physics, numerics, and data assimilation contributed by developers from the expansive research community. WRF is currently in operational use at NCEP and other national meteorological centers as well as in real-time forecasting configurations at laboratories, universities, and companies.
WRF has a large worldwide community of registered users (a cumulative total of over 48,000 in over 160 countries), and NCAR provides regular workshops and tutorials on it. The WRF system contains two dynamical solvers, referred to as the ARW (Advanced Research WRF) core and the NMM (Nonhydrostatic Mesoscale Model) core. The ARW has been developed in large part and is maintained by NCAR's Mesoscale and Microscale Meteorology Laboratory, and its users' page is: WRF-ARW Users' Page. The NMM core was developed by the National Centers for Environmental Prediction (NCEP), and is currently used in their HWRF (Hurricane WRF) system.
This site provides general background information on the WRF Model and its organization and offers links to information on user support, code contributions, and system administration. For detailed information on model use, updates and events, support, code downloads, and documentation, please visit the WRF-ARW users' page (see above).
For any questions regarding the WRF model, please post to the WRF & MPAS-A Support Forum:
http://forum.mmm.ucar.edu/phpBB3/ .
For referencing in publications or other texts any work that involves using WRF or WRF output, we encourage the citation of the model. This allows others to understand what was used and helps the WRF support effort in assessing the scope of the model's use and broader impacts.
The WRF-ARW Model (Version 4) may be cited as follows:
Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp.
doi:10.5065/1dfh-6p97
*NOTE: If using older versions of WRF, please use the citing information below:
Version 3
Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, M. G Duda, X.-Y. Huang, W. Wang, and J. G. Powers, 2008: A Description of the Advanced Research WRF Version 3. NCAR Tech. Note NCAR/TN-475+STR, 113 pp.
doi:10.5065/D68S4MVH
Version 2
Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, W. Wang, and J. G. Powers, 2005: A description of the Advanced Research WRF Version 2. NCAR Tech. Note NCAR/TN-468+STR, 88 pp.
doi:10.5065/D6DZ069T
For citation references for WRF physics packages and specialty systems, see this page.
WRF-ARW DOI
The WRF-ARW Model also has a Digital Object Identifier (DOI), which is a persistent identifier for web-based resources. The WRF-ARW DOI (see link below) provides a persistent link to the WRF information web page, which connects users to the model source code, documentation, previous versions, and other resources.
WRF-ARW DOI
doi:10.5065/D6MK6B4K
Abstract
The Weather Research and Forecasting (WRF) Model is a next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility. The model serves a wide range of meteorological applications across scales from tens of meters to thousands of kilometers. The effort to develop WRF began in the latter 1990's and was a collaborative partnership of the National Center for Atmospheric Research (NCAR), the National Oceanic and Atmospheric Administration (represented by the National Centers for Environmental Prediction (NCEP) and the Earth System Research Laboratory), the U.S. Air Force, the Naval Research Laboratory, the University of Oklahoma, and the Federal Aviation Administration (FAA).
For researchers, WRF can produce simulations based on actual atmospheric conditions (i.e., from observations and analyses) or idealized conditions. WRF offers operational forecasting a flexible and computationally-efficient platform, while reflecting recent advances in physics, numerics, and data assimilation contributed by developers from the expansive research community. WRF is currently in operational use at NCEP and other national meteorological centers as well as in real-time forecasting configurations at laboratories, universities, and companies.
WRF has a large worldwide community of registered users (a cumulative total of over 48,000 in over 160 countries), and NCAR provides regular workshops and tutorials on it. The WRF system contains two dynamical solvers, referred to as the ARW (Advanced Research WRF) core and the NMM (Nonhydrostatic Mesoscale Model) core. The ARW has been developed in large part and is maintained by NCAR's Mesoscale and Microscale Meteorology Laboratory, and its users' page is: WRF-ARW Users' Page. The NMM core was developed by the National Centers for Environmental Prediction (NCEP), and is currently used in their HWRF (Hurricane WRF) system.
This site provides general background information on the WRF Model and its organization and offers links to information on user support, code contributions, and system administration. For detailed information on model use, updates and events, support, code downloads, and documentation, please visit the WRF-ARW users' page (see above).
For any questions regarding the WRF model, please post to the WRF & MPAS-A Support Forum:
http://forum.mmm.ucar.edu/phpBB3/ .
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS05 Atmosphere
Keywords: Modelling, fortran, numerical models, numerical simulations, weather
Last updated: 04/05/2021
Welcome to the XBeach Open Source Community website. This website facilitates users and developers of the XBeach model and intends to keep you up-to-date on developments and events.
XBeach is a two-dimensional model for wave propagation, long waves and mean flow, sediment transport and morphological changes of the nearshore area, beaches, dunes and backbarrier during storms. It is a public-domain model that has been developed with major funding from the US Army Corps of Engineers, Rijkswaterstaat and the EU, supported by a consortium of UNESCO-IHE, Deltares (formerly WL|Delft Hydraulics), Delft University of Technology and the University of Miami.
Welcome to the XBeach Open Source Community website. This website facilitates users and developers of the XBeach model and intends to keep you up-to-date on developments and events.
XBeach is a two-dimensional model for wave propagation, long waves and mean flow, sediment transport and morphological changes of the nearshore area, beaches, dunes and backbarrier during storms. It is a public-domain model that has been developed with major funding from the US Army Corps of Engineers, Rijkswaterstaat and the EU, supported by a consortium of UNESCO-IHE, Deltares (formerly WL|Delft Hydraulics), Delft University of Technology and the University of Miami.
xmitgcm is a python package for reading MITgcm binary MDS files into xarray data structures. By storing data in dask arrays, xmitgcm enables parallel, out-of-core analysis of MITgcm output data.
A numerical model designed for study of the atmosphere, ocean, and climate, MITgcm’s flexible non-hydrostatic formulation enables it to efficiently simulate fluid phenomena over a wide range of scales; its adjoint capabilities enable it to be applied to sensitivity questions and to parameter and state estimation problems. By employing fluid equation isomorphisms, a single dynamical kernel can be used to simulate flow of both the atmosphere and ocean. The model is developed to perform efficiently on a wide variety of computational platforms.
Ryan Abernathey, raphael dussin, Timothy Smith, Ian Fenty, Pascal Bourgault, Stickler Bot, … Liam Brannigan. (2021, March 2). MITgcm/xmitgcm: v0.5.1 (Version v0.5.1). Zenodo. http://doi.org/10.5281/zenodo.4574204
Abstract
xmitgcm is a python package for reading MITgcm binary MDS files into xarray data structures. By storing data in dask arrays, xmitgcm enables parallel, out-of-core analysis of MITgcm output data.
A numerical model designed for study of the atmosphere, ocean, and climate, MITgcm’s flexible non-hydrostatic formulation enables it to efficiently simulate fluid phenomena over a wide range of scales; its adjoint capabilities enable it to be applied to sensitivity questions and to parameter and state estimation problems. By employing fluid equation isomorphisms, a single dynamical kernel can be used to simulate flow of both the atmosphere and ocean. The model is developed to perform efficiently on a wide variety of computational platforms.
Technical contact email
please check the record details page
Host institution of the resource
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Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
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Keywords
Themes
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: Modelling, oceanography, python
Last updated: 29/04/2021
Xtractomatic Tools - NOAA CoastWatch West Coast Regional Node
Rerddap-Xtractomatic (Rerddapxtracto) is a set of free tools, written in R, that allows client-side access of environmental data served on the ERD/CoastWatch ERDDAP Server.
The Rerddapxtracto tools were originally developed for the marine biology tagging community to extract satellite data coincident to the tracks from tagged animals. The packages have been extended to extract a 3D cube of data and time series from the region defined by the polygon.
Xtractomatic Tools - NOAA CoastWatch West Coast Regional Node (ODIS id 2852)
Xtractomatic Tools - NOAA CoastWatch West Coast Regional Node
Original (non-English) name
Acronym
Xtractomatic Tools - WCRN
Citation
Abstract
Rerddap-Xtractomatic (Rerddapxtracto) is a set of free tools, written in R, that allows client-side access of environmental data served on the ERD/CoastWatch ERDDAP Server.
The Rerddapxtracto tools were originally developed for the marine biology tagging community to extract satellite data coincident to the tracks from tagged animals. The packages have been extended to extract a 3D cube of data and time series from the region defined by the polygon.
Types: Software (ocean related)
Languages: English
Countries: United States
Host Countries: United States
Sea Region: Pacific Ocean
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS10 Environment
Keywords: data access, data and tools, environmental data, open access
Last updated: 07/11/2021