Filters
How to search with text?
How to see all records?
- deselect all filters
- remove all search words
- click on the search button
Grouping words.
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
-
I made an atlas to use at school.
-
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
-
I made an atlas to use at school.
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 recordsSearch Page Reset form
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 : Data products (model output, forecasting products, climatologies, re-analysis, etc)
Types : Data products (model output, forecasting products, climatologies, re-analysis, etc)
total results: 532
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: REGIONAL Host Countries: Georgia Sea Region: Black Sea Themes: DS03 Physical oceanography, no theme defined Keywords: Coastal zone, Numerical model prediction, forecasting system, geophysics, ocean hydrothermodynamics, oceans, operational service, sea state, sea water salinity, sea water temperature
Last updated: 05/11/2020
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: Belgium Host Countries: Belgium Sea Region: North Sea Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS06 Cross-discipline, DS10 Environment Keywords: Archive, Contamination, Digital repository, Eutrophication, Ocean acidification, nutrients
Last updated: 04/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: Denmark Host Countries: Denmark Sea Region: Baltic Sea, Kattegat, North Atlantic Ocean, North Sea, Skagerrak Themes: DS03 Physical oceanography Keywords: data products, data visualization, maps collection, weather foreast, wind
Last updated: 14/02/2022
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: Belgium Host Countries: Belgium Sea Region: North Sea Themes: DS01 Biological oceanography Keywords: Biological valuation, Ecosystems, Epibenthos, Fish, Macrobenthos, Mammals, Marine, Marine birds , biodiversity, ecology
Last updated: 04/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: GLOBAL Host Countries: GLOBAL Sea Region: World Themes: DS04 Marine geology Keywords: Geospatial data, Marine, geomorphic, geomorphology, marine habitats, ocean mapping, seabed habitats, seafloor
Last updated: 05/12/2020
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: Norway Host Countries: REGIONAL Sea Region: World Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Climate change, Spatial data, Static maps, carbon, chemistry, climatology, dissolved oxygen, global ocean, nutrients, ocean currents, plankton, sea ice, sea water salinity, sea water temperature, transparency, turbidity
Last updated: 02/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United Kingdom Host Countries: United Kingdom Sea Region: Celtic Sea, English Channel, North Atlantic Ocean, North Sea Themes: DS03 Physical oceanography Keywords: sea level, tides, tides forecast
Last updated: 11/12/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: REGIONAL Host Countries: United States Sea Region: no searegion defined Themes: DS05 Atmosphere Keywords: air temperature, forecast model output, meteorological data, weather foreast
Last updated: 13/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: Gulf of Alaska Themes: DS03 Physical oceanography Keywords: Forecast charts , data analysis, data products, polar conditions, weather foreast
Last updated: 05/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: GLOBAL Host Countries: United States Sea Region: World Themes: DS03 Physical oceanography Keywords: Jason-3, Poseidon-3, Satellite, satellite data, sea surface height, sea surface topography, significant wave height, waves
Last updated: 25/12/2021
American Tropical Seas Observatory - Institute for Marine and Coastal Research of Colombia (ODIS id: 923)
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets), Maps and atlases (geospatial products), Real-time observing systems (and access to their metadata and data)
Languages: Spanish Countries: Colombia Host Countries: Colombia Sea Region: Caribbean Sea Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: Chlorophyll, Climate change, GIS, Geospatial data, Monitoring, Ocean Observing System, Sea surface temperature, WebGIS, air temperature, atmosphere, data buoy, ocean currents, sea level, wind speed
Last updated: 23/11/2023
Types: Bibliographic infobases including library catalogues and document repositories, Data products (model output, forecasting products, climatologies, re-analysis, etc), Maps and atlases (geospatial products)
Languages: English Countries: United Kingdom, Poland Host Countries: United Kingdom, Poland Sea Region: Southern Ocean Themes: DS01 Biological oceanography Keywords: Marine Species, Species Identification, knowledge and information, mapping, maps collection, marine biology, marine science, plankton, population dynamics
Last updated: 02/06/2021
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: GLOBAL Host Countries: United States Sea Region: World Themes: DS01 Biological oceanography Keywords: Marine Species, acoustic tags, acoustics monitoring, data visualization, map animations, mapping, telemetry
Last updated: 29/04/2022
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: Danish, English Countries: Denmark Host Countries: Denmark Sea Region: Baffin Bay, Greenland Sea, Labrador Sea Themes: DS03 Physical oceanography Keywords: data services, ice level, maps collection, navigation
Last updated: 22/01/2022
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: REGIONAL Host Countries: Norway Sea Region: World Themes: DS03 Physical oceanography, DS10 Environment Keywords: animations, sea level anomaly
Last updated: 14/11/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Maps and atlases (geospatial products)
Languages: English Countries: GLOBAL Host Countries: United States Sea Region: Atlantic Ocean, Indian Ocean, Pacific Ocean Themes: DS03 Physical oceanography Keywords: 3D images, Climate change, Sea surface temperature, dynamic height, el nino, la nina, ocean currents, oceans, sea water temperature, seasonal variations, wind
Last updated: 05/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Multimedia content
Languages: English Countries: GLOBAL Host Countries: United States Sea Region: no searegion defined Themes: DS03 Physical oceanography, DS04 Marine geology Keywords: Modelling, Video, tsunami, video repository
Last updated: 14/11/2021
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: United Kingdom Host Countries: REGIONAL Sea Region: World Themes: DS05 Atmosphere, DS09 Cryosphere, DS10 Environment Keywords: Earth Polychromatic Imaging Camera, Environmental Vulnerability Index, Satellite, aerosols, atmospheric chemistry, data discovey, earth science, metadata, ozone, precipitation, remote sensing, surface reflectance
Last updated: 04/10/2021
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English, Spanish, French, Russian Countries: GLOBAL Host Countries: GLOBAL Sea Region: World Themes: DS11 Fisheries and aquaculture, DS12 Human activities Keywords: Feed ingredient analyses, Ingredient digestibility report, anti-nutritional substances, apparent digestibility coefficients, aquaculture, aquaculture species, diet and ingredient digestibilities, feed ingredients, ingredient processing methods, ingredients and the method, nutrients and energy, nutrition research, online database
Last updated: 09/10/2021
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets), Journals (open source and commercial), Manuals, guidelines, standards and best practices
Languages: English Countries: United Kingdom Host Countries: United Kingdom Sea Region: Northeast Atlantic Ocean (40W) Themes: DS01 Biological oceanography, DS10 Environment Keywords: FAIRness, Marine, Marine Species, biodiversity, data archive, marine benthic survey data, marine habitats
Last updated: 30/09/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: REGIONAL Host Countries: REGIONAL Sea Region: Arctic Ocean Themes: DS06 Cross-discipline, DS10 Environment Keywords: arctic regions, data ecosystem mapping
Last updated: 04/12/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Information on projects
Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Beaufort Sea Themes: DS10 Environment, DS12 Human activities Keywords: Contamination, Interactive maps, human activities, mapping, navigation, oil spill response planning, risk management, vulnerable ecosystems
Last updated: 30/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: REGIONAL Host Countries: REGIONAL Sea Region: Arctic Ocean Themes: DS10 Environment, DS12 Human activities Keywords: Arctic research, data visualization, information and resources, mapping
Last updated: 06/12/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: Pacific Ocean Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography Keywords: biological classification, data visualization, mapping, water quality
Last updated: 09/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Information of platforms (buoys, sensors, floats, gliders, satellites), Real-time observing systems (and access to their metadata and data)
Languages: English Countries: GLOBAL Host Countries: France Sea Region: World Themes: DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Argo, float, global ocean, global ocean observing system, in-situ, mapping, ocean circulation, ocean pressure, oceanographic data, profile, sea water salinity, sea water temperature, weather climate and seasonal observation
Last updated: 02/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Maps and atlases (geospatial products)
Languages: English Countries: REGIONAL Host Countries: Iran Sea Region: Indian Ocean Themes: DS03 Physical oceanography Keywords: Argo, global ocean observing system, long-term variations, profiling buoy, sea water pressure, sea water salinity, sea water temperature, seasonal variations
Last updated: 11/11/2023
Types: Bibliographic infobases including library catalogues and document repositories, Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Education and training materials (related to oceans), Information on experts and organizations, Information on projects, Manuals, guidelines, standards and best practices
Languages: English Countries: GLOBAL Host Countries: GLOBAL Sea Region: World Themes: DS06 Cross-discipline Keywords: Ecosystems, SDG14, Training and education, expertise, marine spatial planning
Last updated: 08/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Gulf of Mexico Themes: DS01 Biological oceanography Keywords: Marine, Marine Species, data visualization, invasive species, mapping
Last updated: 14/10/2021
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Maps and atlases (geospatial products)
Languages: English, Spanish Countries: United States Host Countries: United States Sea Region: Caribbean Sea Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: Modelling, WebGIS, data discovey, forecast model output, observation data, observing system, ocean circulation, ocean currents, oceanographic data, real-time data
Last updated: 12/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: Arctic Ocean, Atlantic Ocean, Beaufort Sea, Bering Sea, Caribbean Sea, Chukchi Sea, Gulf of Alaska, Gulf of Mexico, Pacific Ocean Themes: DS12 Human activities Keywords: Public participation, data services, mapping, marine-coastal information, navigation
Last updated: 31/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: GLOBAL Host Countries: United States Sea Region: Atlantic Ocean, Indian Ocean, Pacific Ocean Themes: DS03 Physical oceanography Keywords: Sea surface temperature, heat content, oceans, seasonal variations, wind
Last updated: 05/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: Atlantic Ocean Themes: DS03 Physical oceanography Keywords: Forecast charts , data analysis, data products, weather foreast
Last updated: 05/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets), Maps and atlases (geospatial products)
Languages: English Countries: REGIONAL Host Countries: United Kingdom Sea Region: Atlantic Ocean Themes: DS01 Biological oceanography Keywords: Geospatial data, data access, data visualization, deep sea, mapping
Last updated: 02/12/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets), Maps and atlases (geospatial products)
Languages: Italian Countries: Italy Host Countries: Italy Sea Region: Adriatic Sea Themes: DS01 Biological oceanography, DS06 Cross-discipline, DS08 Terrestrial, DS10 Environment Keywords: Coastal zone, GIS, Geospatial data, Phytoplankton, Vegetation, WebGIS, coastal habitats, coastal mapping, conservation
Last updated: 13/07/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: Pacific Ocean Themes: DS01 Biological oceanography, DS03 Physical oceanography Keywords: data visualization, mooring, observation data, observational oceanography, observing system
Last updated: 09/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: Pacific Ocean Themes: DS12 Human activities Keywords: data visualization, navigation
Last updated: 09/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Real-time observing systems (and access to their metadata and data)
Languages: Catalan, English, Spanish Countries: Spain Host Countries: Spain Sea Region: Alboran Sea, Balearic Sea, Mediterranean Sea, Western Basin Themes: DS03 Physical oceanography Keywords: Modelling, forecast model output, forecasting system, wave height and direction, waves
Last updated: 13/10/2022
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: no searegion defined Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: data products, image gallery, satellite imagery, water temperature
Last updated: 14/02/2022
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Maps and atlases (geospatial products)
Languages: Catalan, English, Spanish Countries: Spain Host Countries: Spain Sea Region: Alboran Sea, Balearic Sea, Mediterranean Sea, Western Basin Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: air pressure disturbances, atmospheric and oceanic modelling, coastal impact, forecast model output, forecasting system, meteo-tsunamis, oceanography, oceans, operational service, rissaga, sea level
Last updated: 11/10/2022
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: Australia Host Countries: Australia Sea Region: Coral Sea, Indian Ocean, Southern Ocean, Timor Sea Themes: DS03 Physical oceanography, DS04 Marine geology Keywords: bathymetry, seafloor features, seafloor geomorphic features, seafloor mapping, seafloor topography
Last updated: 21/12/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Gulf of Mexico Themes: DS03 Physical oceanography, DS04 Marine geology Keywords: Coastal zone, bathymetry, data collection, maps collection, seafloor topography
Last updated: 14/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: United States Host Countries: United States Sea Region: World Themes: DS04 Marine geology Keywords: bathymetry, data visualization, seabed mapping, topography
Last updated: 12/12/2021
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets), Maps and atlases (geospatial products)
Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Bering Sea Themes: DS01 Biological oceanography, DS03 Physical oceanography, DS10 Environment, DS12 Human activities Keywords: Climate change, Ecosystems, Fish, biology, ecology, human activities
Last updated: 25/09/2021
Biological and Chemical Oceanography Data Management Office (ODIS id: 3287)
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Information of platforms (buoys, sensors, floats, gliders, satellites), Information on experts and organizations, Information on projects, Information on vessels (including research vessels), Multimedia content
Languages: English Countries: GLOBAL Host Countries: United States Sea Region: World Themes: DS01 Biological oceanography, DS02 Chemical oceanography Keywords:
Last updated: 17/11/2023
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Atlantic Ocean Themes: DS03 Physical oceanography Keywords: HF radar, data products, observation data, observational oceanography
Last updated: 23/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: United Kingdom Host Countries: United Kingdom Sea Region: Atlantic Ocean, Bay of Biscay, Bristol Channel, Celtic Sea, English Channel, Iceland Sea, Irish Sea, Kattegat, North Sea, Skagerrak Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Numerical model prediction, ocean currents, oceanographic data, oceans, sea water salinity, sea water temperature, waves
Last updated: 02/05/2024
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: United Kingdom, GLOBAL Host Countries: United Kingdom Sea Region: World Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS06 Cross-discipline Keywords: CTD, Coastal zone, DOI, Digital repository, Glider, HPLC pigment, Numerical model prediction, Ocean acidification, Phytoplankton, atmosphere, cold-water coral, data and information, data archive, directory, microbial community, nitrogen fixation, nutrients, ocean circulation, primary production, sea level, sea water salinity, sea water temperature, waves
Last updated: 02/05/2024
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: World Themes: DS05 Atmosphere, DS10 Environment Keywords: Earth Science data, Earth observation, climate monitoring, earth science, environmental information, satellite imagery
Last updated: 14/02/2022
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: Pacific Ocean Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Algal bloom, Coastal Ocean Observing System, ocean modelling, ocean observation, real-time data
Last updated: 09/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets), Real-time observing systems (and access to their metadata and data)
Languages: English Countries: Italy, Malta, REGIONAL Host Countries: Malta Sea Region: Mediterranean Sea Themes: DS03 Physical oceanography Keywords: HF radar, data portal, oceanographic data, oil spill mitigation, open access, operational oceanography, pollution, sea surface currents
Last updated: 02/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Arctic Ocean, Atlantic Ocean, Pacific Ocean Themes: DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Chloroflourocarbons, carbon dioxide, dissolved inorganic carbon, nutrients, oxygen, sea water pressure, sea water salinity, sea water temperature
Last updated: 30/09/2021
Caribbean Marine Atlas (ODIS id: 616)
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Maps and atlases (geospatial products)
Languages: English Countries: Barbados, Belize, Colombia, Costa Rica, Dominica, Dominican Republic, Guatemala, Jamaica, Mexico, Panama, REGIONAL, Trinidad & Tobago, Venezuela Host Countries: Colombia Sea Region: Caribbean Sea Themes: DS01 Biological oceanography, DS04 Marine geology, DS06 Cross-discipline, DS08 Terrestrial, DS10 Environment, DS11 Fisheries and aquaculture, DS12 Human activities Keywords: Agriculture, Ecosystems, Geospatial data, aquaculture, coastal habitats, erosion, geographic information, geology, geomorphology, geonode
Last updated: 30/10/2024
Caribbean marine Atlas (ODIS id: 919)
Types: Bibliographic infobases including library catalogues and document repositories, Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets), Maps and atlases (geospatial products)
Languages: Spanish Countries: Colombia Host Countries: Colombia Sea Region: Caribbean Sea Themes: DS06 Cross-discipline Keywords: ArcGis, Geospatial data, Integrated Ocean Governance, Integrated coastal zone management, Marine Species, WebGIS, aquaculture, benthos, conservation, coral, coral reefs, data discovey, ecology, fisheries, habitats classification, marine protected areas, natural hazards, sustainable fisheries
Last updated: 23/11/2023
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)
Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Atlantic Ocean Themes: DS05 Atmosphere Keywords: buoys, monitoring system, weather data
Last updated: 18/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: GLOBAL Host Countries: Canada Sea Region: World Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: atmospheric and oceanic research, air-sea interaction, ocean modelling, reanalysis
Last updated: 29/11/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: United States Host Countries: United States Sea Region: World Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: DORIS, GGOS, GNSS, VLBI, laser ranging, space geodesy
Last updated: 31/01/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Maps and atlases (geospatial products)
Languages: English, Indonesian Countries: Indonesia Host Countries: Indonesia Sea Region: Banda Sea, Celebes Sea, Jawa Sea Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: Numerical model prediction, Satellite, operational service, waves, wind
Last updated: 06/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets), Information on experts and organizations
Languages: English Countries: United States Host Countries: United States Sea Region: Atlantic Ocean, Gulf of Alaska, Pacific Ocean Themes: DS08 Terrestrial, DS10 Environment Keywords: biodiversity change, data collection, environmental data, environmental monitoring, estuaries, human activities, water quality
Last updated: 26/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets), Maps and atlases (geospatial products)
Languages: English Countries: United States Host Countries: United States Sea Region: World Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: Earth Science data, Satellite, data discovey, earth-science, information exchange, validation and inter-comparison
Last updated: 31/01/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: Mauritius Host Countries: Mauritius Sea Region: Indian Ocean Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS11 Fisheries and aquaculture Keywords: aquaculture, bathymetry, coastal mapping, current pattern, human activities, marine chemistry, marine resources, nutrients, pollution, sediment
Last updated: 02/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United Kingdom Host Countries: United Kingdom Sea Region: Celtic Sea, English Channel, Irish Sea, North Sea Themes: DS03 Physical oceanography Keywords: coastal ocean waters, observational oceanography, observing system, tides, tides forecast
Last updated: 02/07/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Maps and atlases (geospatial products)
Languages: English Countries: United States Host Countries: United States Sea Region: Caribbean Sea, Gulf of Mexico, North Atlantic Ocean, North Pacific Ocean Themes: DS03 Physical oceanography, DS12 Human activities Keywords: nautical charts, navigation, near real time data, notices to mariners, open access
Last updated: 05/02/2022
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: North Atlantic Ocean Themes: DS03 Physical oceanography Keywords: sea level, sea water salinity, sea water temperature, tides, tides forecast, time-series
Last updated: 27/09/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Maps and atlases (geospatial products)
Languages: Spanish Countries: Chile Host Countries: Chile Sea Region: Pacific Ocean Themes: DS03 Physical oceanography Keywords: Information and knowledge products, Modelling, Numerical model prediction, open access, operational service, waves
Last updated: 06/09/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Software (ocean related)
Languages: Spanish Countries: Mexico Host Countries: Mexico Sea Region: Caribbean Sea, Gulf of California, Gulf of Mexico Themes: DS03 Physical oceanography Keywords: sea level, tides
Last updated: 13/09/2020
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Maps and atlases (geospatial products)
Languages: English Countries: United States Host Countries: United States Sea Region: Caribbean Sea Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere Keywords: atmospheric and oceanic research, Climate change, Sea surface temperature, climate and seasonal observation, climate indicators, climate variability, climate variations, sea level, sea water temperature
Last updated: 20/06/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: United States Host Countries: United States Sea Region: Pacific Ocean Themes: DS03 Physical oceanography Keywords: Glider, climatology, coastal ocean waters, oceanographic data
Last updated: 10/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: REGIONAL Host Countries: REGIONAL Sea Region: World Themes: DS02 Chemical oceanography Keywords: Climate change, Ocean acidification, acidification monitoring, air-sea interaction, carbon cycle, carbon dioxide, carbon flux, gas exchange, gas flux, greenhouse gases
Last updated: 02/07/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: REGIONAL Host Countries: United States Sea Region: no searegion defined Themes: DS05 Atmosphere Keywords: clouds, meteorology, satellite imagery, weather foreast
Last updated: 05/02/2022
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets), Information on projects, Real-time observing systems (and access to their metadata and data)
Languages: English Countries: United States Host Countries: United States Sea Region: Atlantic Ocean, Caribbean Sea, Gulf of Alaska, Gulf of Mexico, Lake Michigan, Lake Superior, Pacific Ocean, Straits of Florida, World Themes: DS03 Physical oceanography Keywords: Monitoring, Numerical model prediction, Sea surface temperature, moored buoy, waves
Last updated: 11/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: REGIONAL Host Countries: United Kingdom Sea Region: South Atlantic Ocean Themes: DS01 Biological oceanography, DS10 Environment Keywords: coastal and estuarine studies, coastal habitats, marine ecosystems, resources management, satellite data
Last updated: 01/01/2022
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: Caribbean Sea Themes: DS10 Environment Keywords: Forecast charts , current speed and direction, data services, data visualization, forecast model output, forecasting system, meteorological services, meteorology, storm surge, tides forecast, water quality, wave height and direction, waves, wind speed
Last updated: 20/06/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: Caribbean Sea, Gulf of Mexico, North Atlantic Ocean, North Pacific Ocean Themes: DS03 Physical oceanography Keywords: coastal inundation, coastal monitoring, data products, data services, data visualization, mapping
Last updated: 05/02/2022
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)
Languages: Italian Countries: Italy Host Countries: Italy Sea Region: Adriatic Sea Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography Keywords: biology, ecology, long-term variations, moored buoy, time-series
Last updated: 02/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: no searegion defined Themes: DS03 Physical oceanography Keywords: Modelling, coastal ocean waters
Last updated: 09/10/2021
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets), Maps and atlases (geospatial products)
Languages: English Countries: Belgium Host Countries: Belgium Sea Region: World Themes: DS01 Biological oceanography Keywords: Marine Species, Phytoplankton, Zooplankton, biomass distribution, copepods, ecology, global databse, global ocean, plankton, taxonomy
Last updated: 09/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Information of platforms (buoys, sensors, floats, gliders, satellites)
Languages: Spanish Countries: Ecuador Host Countries: Ecuador Sea Region: Pacific Ocean Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: weather station, Monitoring, air temperature, coastal ocean waters, monitoring system, observing system, sea surface, wind speed
Last updated: 07/06/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: Atlantic Ocean Themes: DS03 Physical oceanography Keywords: HF radar, data products, data visualization, observational oceanography, observing system
Last updated: 23/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Maps and atlases (geospatial products)
Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Atlantic Ocean Themes: DS03 Physical oceanography Keywords: current pattern, current speed and direction, image gallery, maps collection
Last updated: 23/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: Belgium Host Countries: Belgium Sea Region: North Sea Themes: DS01 Biological oceanography Keywords: fish populations, observation data
Last updated: 18/12/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: no searegion defined Themes: DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Algal bloom, Chlorophyll, Lake water chemistry, lakes, ocean colour, water properties
Last updated: 14/02/2022
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: United States Host Countries: United States Sea Region: no searegion defined Themes: DS03 Physical oceanography Keywords: current speed and direction, forecast model output, forecasting system, river flow, river-sea systems, salinity, water level, water temperature
Last updated: 29/09/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: Australia Host Countries: Australia Sea Region: Bass Strait, Great Australian Bight Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS10 Environment Keywords: biotopes, classifications and standards, marine ecology
Last updated: 12/12/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: no searegion defined Themes: DS03 Physical oceanography, DS04 Marine geology Keywords: Modelling, data analysis, data products, data visualization, tsunami
Last updated: 14/11/2021
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
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: Indian Ocean Themes: DS03 Physical oceanography, DS04 Marine geology, DS12 Human activities Keywords: data access, data analysis, data and information, data and tools, tsunami
Last updated: 14/11/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Maps and atlases (geospatial products)
Languages: English Countries: Indonesia Host Countries: Indonesia Sea Region: Banda Sea, Celebes Sea, Jawa Sea Themes: DS01 Biological oceanography Keywords: coral reefs, mangrove, sea grass
Last updated: 06/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Information on projects
Languages: English Countries: United States Host Countries: United States Sea Region: Gulf of Alaska Themes: DS01 Biological oceanography, DS10 Environment Keywords: Marine Species, data visualization, environmental monitoring, marine mammals, whales, wildlife
Last updated: 30/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: United States Host Countries: United States Sea Region: Gulf of Alaska Themes: DS03 Physical oceanography Keywords: current speed and direction, forecast model output, forecasting system, salinity, water body, water level, water temperature
Last updated: 29/09/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Information on projects
Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Gulf of Alaska Themes: DS03 Physical oceanography, DS10 Environment, DS12 Human activities Keywords: Geospatial data, coastal monitoring, data products, data services, data visualization, map animations
Last updated: 30/10/2021
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: Bulgaria, Germany, Spain, France, United Kingdom, GLOBAL, Greece, Italy, Norway, REGIONAL, Sweden Host Countries: France, GLOBAL Sea Region: World Themes: DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Chlorophyll, Ocean Observing System, Sea surface temperature, ocean carbon, ocean currents, operational oceanography, oxygen, salinity, tides, waves
Last updated: 02/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: GLOBAL Host Countries: GLOBAL Sea Region: Amundsen Sea, Arctic Ocean, Atlantic Ocean, Baltic Sea, Bay of Biscay, Bellingshausen Sea, Black Sea, Cooperation Sea, Cosmonauts Sea, Davis Sea, Dumont D'Urville Sea, Lazarev Sea, Mawson Sea, Mediterranean Sea, Riiser-Larsen Sea, Ross Sea, Scotia Sea, Somov Sea, Weddell Sea, World Themes: DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Static maps, climate variability, ocean currents, ocean health, ocean heat content, sea ice, sea level, sea state, sea water salinity, sea water temperature, water mass and heat exchange
Last updated: 02/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: GLOBAL Host Countries: United States Sea Region: Atlantic Ocean, Pacific Ocean Themes: DS02 Chemical oceanography, DS04 Marine geology Keywords: Hydrothermal Vent Fluid Interactive Sampler, Osmosis-based Water Sampler, Particulate DNA Sampler, benthos, chemical oceanography, data portal, deep sea, hydrothermal flow, metadata, oceanographic data, volcanic and tectonic events
Last updated: 18/03/2026
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets), Real-time observing systems (and access to their metadata and data)
Languages: English, French Countries: Australia, Belgium, Canada, China, Germany, Denmark, Spain, Finland, France, United Kingdom, GLOBAL, Greece, India, Italy, Japan, Netherlands, Norway, REGIONAL, Russia, Sweden, Turkey, United States Host Countries: France, GLOBAL Sea Region: World Themes: DS03 Physical oceanography Keywords: Marine, Ocean Observing System, Sea surface temperature, ocean circulation, ocean currents, operational oceanography, oxygen, salinity, sea level
Last updated: 28/11/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Maps and atlases (geospatial products)
Languages: English Countries: GLOBAL Host Countries: France, GLOBAL Sea Region: World Themes: DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Ocean Observing System, operational oceanography, reanalysis
Last updated: 09/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Atlantic Ocean, Caribbean Sea, Gulf of Mexico Themes: DS03 Physical oceanography Keywords: forecast model output, forecasting system, waves, weather foreast
Last updated: 18/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: United States Host Countries: United States Sea Region: World Themes: DS03 Physical oceanography Keywords: data access, data products, marine science, oceanographic data, open access, reports, research vessel
Last updated: 28/06/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: REGIONAL Host Countries: REGIONAL Sea Region: Pacific Ocean Themes: DS03 Physical oceanography Keywords: current pattern, current speed and direction, forecast model output
Last updated: 29/11/2021
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: no searegion defined Themes: DS10 Environment Keywords: current pattern, current speed and direction, data products, river flow, rivers
Last updated: 26/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: Cyprus Host Countries: Cyprus Sea Region: Mediterranean Region Themes: DS03 Physical oceanography Keywords: forecasting system, observational oceanography, observing system, operational oceanography
Last updated: 05/02/2022
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc)
Languages: English Countries: United States Host Countries: United States Sea Region: Pacific Ocean Themes: DS03 Physical oceanography Keywords: Chlorophyll, Sea surface temperature, data collection, satellite data
Last updated: 05/10/2021
Types: Data catalogue, Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: GLOBAL Host Countries: GLOBAL Sea Region: World Themes: DS03 Physical oceanography Keywords: GHRSST, GHRSST Advisory Council, GHRSST Science Team, GHRSST data management, High-Resolution Sea Surface, Sea surface temperature, climate
Last updated: 08/10/2021
Types: Data products (model output, forecasting products, climatologies, re-analysis, etc), Data systems/portals (allowing downloading of data sets)
Languages: English Countries: GLOBAL Host Countries: Norway, United States Sea Region: World Themes: DS03 Physical oceanography Keywords: ODV software, carbon dioxide, coastal ocean waters, data portal, fugacity of carbon dioxide, global ocean, global ocean acidification, ocean carbon, open access
Last updated: 04/10/2021
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3 DAYS' FORECAST FOR THE GEORGIAN BLACK SEA COASTAL ZONE (ODIS id: 741)
http://oceandna.ge/index.php?lang_id=ENG&sec_id=53
A regional forecasting system of the Black Sea state for the Georgian coastal zone is developed at t ...
more
3 DAYS' FORECAST FOR THE GEORGIAN BLACK SEA COASTAL ZONE
A regional forecasting system of the Black Sea state for the Georgian coastal zone is developed at the Department of Mathematical Modeling of Geophysical Processes in the Sea and Atmosphere of the Institute of Geophysics of Iv. Javakhishvili Tbilisi State University within the framework of EU International projects ARENA and ECOOP. The regional forecasting system is one of the parts of the Black Sea Nowcasting/Forecasting System and enables to calculate 3 days’ forecasts of current, temperature and salinity fields for the Georgian Black Sea coastal zone with 1 km spacing.
The regional forecasting system is based on a high-resolution 3-D regional prognostic model of the Black Sea dynamics developed at the Institute of Geophysics (RM-IG). The regional prognostic model with 1 km grid step, which is based on a primitive equation system of ocean hydrothermodynamics in hydrostatic approximation, is nested in the basin-scale model (BSM) of the Black Sea dynamics of Marine Hydrophysical Institute (MHI, Sevastopol, Ukraine) with 5 km grid step. Numerical algorithm is based on the splitting method applying with respect to physical processes and geometrical variables.
The Black Sea regional area is limited to the Caucasus and Turkish shorelines and the western liquid boundary coinciding with a meridian 39.360E( near Tuapse city). Data needed on open and upper boundaries, also the 3-D initial hydrophysical fields for the easternmost regional area are provided operatively from MHI via FTP site. These data on the open boundary are values of velocity components, temperature and salinity predicted by the BSM of MHI and on the sea surface 2-D meteorological boundary fields predicted by the regional atmospheric model ALADIN are used.
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| Submitter/Owner | Dr. Kakhaber Aveli Bilashvili ( OceanExpert : 12812 ) | ||||
| Submitter/Owner Role | IODE ADU | ||||
| Datasource URL | http://oceandna.ge/index.php?lang_id=ENG&sec_id=53 | ||||
| Parent Project URL | http://oceandna.ge/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | 3 DAYS' FORECAST FOR THE GEORGIAN BLACK SEA COASTAL ZONE | ||||
| Original (non-English) name | Shavi zgvis sanapiro zonis moklevadiani prognozi | ||||
| Acronym | |||||
| Citation | |||||
| Abstract | A regional forecasting system of the Black Sea state for the Georgian coastal zone is developed at the Department of Mathematical Modeling of Geophysical Processes in the Sea and Atmosphere of the Institute of Geophysics of Iv. Javakhishvili Tbilisi State University within the framework of EU International projects ARENA and ECOOP. The regional forecasting system is one of the parts of the Black Sea Nowcasting/Forecasting System and enables to calculate 3 days’ forecasts of current, temperature and salinity fields for the Georgian Black Sea coastal zone with 1 km spacing. The regional forecasting system is based on a high-resolution 3-D regional prognostic model of the Black Sea dynamics developed at the Institute of Geophysics (RM-IG). The regional prognostic model with 1 km grid step, which is based on a primitive equation system of ocean hydrothermodynamics in hydrostatic approximation, is nested in the basin-scale model (BSM) of the Black Sea dynamics of Marine Hydrophysical Institute (MHI, Sevastopol, Ukraine) with 5 km grid step. Numerical algorithm is based on the splitting method applying with respect to physical processes and geometrical variables. The Black Sea regional area is limited to the Caucasus and Turkish shorelines and the western liquid boundary coinciding with a meridian 39.360E( near Tuapse city). Data needed on open and upper boundaries, also the 3-D initial hydrophysical fields for the easternmost regional area are provided operatively from MHI via FTP site. These data on the open boundary are values of velocity components, temperature and salinity predicted by the BSM of MHI and on the sea surface 2-D meteorological boundary fields predicted by the regional atmospheric model ALADIN are used. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | |||||
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| Spatial Coverage | Black Sea | ||||
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Languages: English Countries: REGIONAL Host Countries: Georgia Sea Region: Black Sea Themes: DS03 Physical oceanography, no theme defined Keywords: Coastal zone, Numerical model prediction, forecasting system, geophysics, ocean hydrothermodynamics, oceans, operational service, sea state, sea water salinity, sea water temperature
Last updated: 05/11/2020
4 decades of Belgian marine monitoring project (ODIS id: 566)
http://4demon.be/project
Long-term change in contamination, eutrophication and acidification indicators has been reported fro ...
more
4 decades of Belgian marine monitoring project
Long-term change in contamination, eutrophication and acidification indicators has been reported from the North Sea and adjoining coastal waters during the last decades. Although corresponding data have been extensively collected during numerous campaigns at sea, no quality-checked, intercalibrated and integrated data sets with sufficient temporal and spatial resolution exist for these parameters for the Belgian Continental Shelf (BCS). This seriously hampers evaluating long-term environmental change in this heterogeneous and complex area, where various factors and processes, operating at different spatial and temporal scales, impact marine ecosystem status and health. Designing and implementing Integrated Coastal Zone Management actions in the BCS requires a thorough and correct understanding of environmental change in the area, and this in turn needs robust historic (and future) long-term data sets.
In the BCS, modern oceanography, with systematic campaigns for assessing the quality of the marine environment, started with the “Projet Mer/Projekt Zee” (PMPZ) in 1970. Within this first phase of the Belgian Federal North Sea Research Programme, all compartments of the marine ecosystem were studied. This initial program was followed by other research actions, programs and monitoring campaigns, resulting in a large set of valuable historic data on the marine environment of the BCS. The use of these data however suffers from two major drawbacks. First, many historic data are still only available on paper, scattered across different Belgian institutions. Second, many of these programs were carried out more or less independently from one another. The lack of coordination, continuity and integration resulted in inconsistencies in spatial sampling coverage and resolution, sampling frequency, data storage, and changes in measurement techniques and conditions. In addition, methodological changes were also implemented because of technological advances [e.g. the routine adoption of High-Performance Liquid Chromatography (HPLC) methods in phytoplankton pigment oceanography since the late 1980’s] and new opportunities (e.g. the use of remote sensing (RS) for phytoplankton and turbidity monitoring since the mid-1990’s). Assembling data from different time periods, often obtained with different spatial coverage and resolution, and with different methods is typically a source of error that must be estimated and corrected.
The 4DEMON project was therefore designed to build quality-checked, intercalibrated and integrated data sets on the marine environment in the BCS, and use this data for assessing environmental change in this area.
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| Submitter/Owner | Mr. Jelle Kurt Rondelez ( OceanExpert : 37076 ) | ||||
| Submitter/Owner Role | Other | ||||
| Datasource URL | http://4demon.be/project | ||||
| Parent Project URL | http://www.vliz.be/en | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | 4 decades of Belgian marine monitoring project | ||||
| Original (non-English) name | Projet Mer / Projekt Zee | ||||
| Acronym | 4DEMON | ||||
| Citation | 4 Decades of Belgian Marine Monitoring: Uplifting historical data to today’s needs (4DEMON) : final report Lagring, Ruth - De Witte, Bavo - Sabbe, Koen ... et al. Brussels : Scientific Policy, 2018 (SP2792) | ||||
| Abstract | Long-term change in contamination, eutrophication and acidification indicators has been reported from the North Sea and adjoining coastal waters during the last decades. Although corresponding data have been extensively collected during numerous campaigns at sea, no quality-checked, intercalibrated and integrated data sets with sufficient temporal and spatial resolution exist for these parameters for the Belgian Continental Shelf (BCS). This seriously hampers evaluating long-term environmental change in this heterogeneous and complex area, where various factors and processes, operating at different spatial and temporal scales, impact marine ecosystem status and health. Designing and implementing Integrated Coastal Zone Management actions in the BCS requires a thorough and correct understanding of environmental change in the area, and this in turn needs robust historic (and future) long-term data sets. In the BCS, modern oceanography, with systematic campaigns for assessing the quality of the marine environment, started with the “Projet Mer/Projekt Zee” (PMPZ) in 1970. Within this first phase of the Belgian Federal North Sea Research Programme, all compartments of the marine ecosystem were studied. This initial program was followed by other research actions, programs and monitoring campaigns, resulting in a large set of valuable historic data on the marine environment of the BCS. The use of these data however suffers from two major drawbacks. First, many historic data are still only available on paper, scattered across different Belgian institutions. Second, many of these programs were carried out more or less independently from one another. The lack of coordination, continuity and integration resulted in inconsistencies in spatial sampling coverage and resolution, sampling frequency, data storage, and changes in measurement techniques and conditions. In addition, methodological changes were also implemented because of technological advances [e.g. the routine adoption of High-Performance Liquid Chromatography (HPLC) methods in phytoplankton pigment oceanography since the late 1980’s] and new opportunities (e.g. the use of remote sensing (RS) for phytoplankton and turbidity monitoring since the mid-1990’s). Assembling data from different time periods, often obtained with different spatial coverage and resolution, and with different methods is typically a source of error that must be estimated and corrected. The 4DEMON project was therefore designed to build quality-checked, intercalibrated and integrated data sets on the marine environment in the BCS, and use this data for assessing environmental change in this area. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Vlaams Instituut voor de Zee | ||||
| Technical notes | |||||
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Languages: English Countries: Belgium Host Countries: Belgium Sea Region: North Sea Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS06 Cross-discipline, DS10 Environment Keywords: Archive, Contamination, Digital repository, Eutrophication, Ocean acidification, nutrients
Last updated: 04/10/2021
5-day forecast ocean weather maps - Danish Meteorological Institute (ODIS id: 3073)
http://ocean.dmi.dk/anim/index.uk.php
5-day forecast maps.
5-day forecast ocean weather maps - Danish Meteorological Institute
5-day forecast maps.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://ocean.dmi.dk/anim/index.uk.php | ||||
| Parent Project URL | https://www.dmi.dk/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | 5-day forecast ocean weather maps - Danish Meteorological Institute | ||||
| Original (non-English) name | Havprognose 5 dage - Danmarks Meteorologiske Institut | ||||
| Acronym | 5-day forecast ocean weather maps - DMI | ||||
| Citation | |||||
| Abstract | 5-day forecast maps. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Danish Meteorological Institute | ||||
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Languages: English Countries: Denmark Host Countries: Denmark Sea Region: Baltic Sea, Kattegat, North Atlantic Ocean, North Sea, Skagerrak Themes: DS03 Physical oceanography Keywords: data products, data visualization, maps collection, weather foreast, wind
Last updated: 14/02/2022
A Biological Valuation Map for the Belgian Continental Shelf - Flanders Marine Institute (ODIS id: 567)
http://www.vliz.be/projects/bwzee/
BWZee is a two-year project (April 2004-March 2006) carried out by five Belgian research groups (see ...
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A Biological Valuation Map for the Belgian Continental Shelf - Flanders Marine Institute
BWZee is a two-year project (April 2004-March 2006) carried out by five Belgian research groups (see partners) in the framework of the SPSD-II research action of the Belgian Federal Science Policy Office. The project aims to develop a scientifically acceptable and widely applicable valuation strategy for marine areas and to apply this strategy to the Belgian Continental Shelf (BCS). The end-product should be an integrated, full-coverage biological valuation map representing the biological and ecological value of all subareas within the Belgian BCS.
Different ecosystem components will be integrated in the valuation exercise, namely macro-, epi- and hyperbenthos and seabirds. Biological valuation maps that compile all relevant (and available) biological and ecological information of an area and allocate an overall biological value to different subareas within that area can be a very useful warning system for future management decisions.
A Biological Valuation Map for the Belgian Continental Shelf - Flanders Marine Institute (ODIS id 567)
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| Submitter/Owner | Mr. Jelle Kurt Rondelez ( OceanExpert : 37076 ) | ||||
| Submitter/Owner Role | Other | ||||
| Datasource URL | http://www.vliz.be/projects/bwzee/ | ||||
| Parent Project URL | http://www.belspo.be/belspo/fedra/prog.asp?l=en&COD=EV#projects | ||||
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| English name | A Biological Valuation Map for the Belgian Continental Shelf - Flanders Marine Institute | ||||
| Original (non-English) name | |||||
| Acronym | BWZee - VLIZ | ||||
| Citation | |||||
| Abstract | BWZee is a two-year project (April 2004-March 2006) carried out by five Belgian research groups (see partners) in the framework of the SPSD-II research action of the Belgian Federal Science Policy Office. The project aims to develop a scientifically acceptable and widely applicable valuation strategy for marine areas and to apply this strategy to the Belgian Continental Shelf (BCS). The end-product should be an integrated, full-coverage biological valuation map representing the biological and ecological value of all subareas within the Belgian BCS. Different ecosystem components will be integrated in the valuation exercise, namely macro-, epi- and hyperbenthos and seabirds. Biological valuation maps that compile all relevant (and available) biological and ecological information of an area and allocate an overall biological value to different subareas within that area can be a very useful warning system for future management decisions. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Vlaams Instituut voor de Zee | ||||
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Languages: English Countries: Belgium Host Countries: Belgium Sea Region: North Sea Themes: DS01 Biological oceanography Keywords: Biological valuation, Ecosystems, Epibenthos, Fish, Macrobenthos, Mammals, Marine, Marine birds , biodiversity, ecology
Last updated: 04/10/2021
Access Data - Blue Habitats (ODIS id: 915)
http://www.bluehabitats.org/?page_id=58
The global seafloor geomorphology provides spatial layers (shapefile format) for 29 different seaflo ...
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Access Data - Blue Habitats
The global seafloor geomorphology provides spatial layers (shapefile format) for 29 different seafloor geomorphic features mapped by Harris et. al. (2014). The layers were mapped based on the interpretation of the SRTM30 plus v7 global bathymetric model. Full details on the methodology can be found in the accompanying paper Harris, P. T., Macmillan-Lawler, M., Rupp, J., & Baker, E. K. (2014). Geomorphology of the oceans. Marine Geology, 352, 4–24. https://doi.org/10.1016/j.margeo.2014.01.011. The following geomorphic features are included in the data package: shelf, slope, abyss, hadal, shelf valleys, glacial troughs, coral reefs, escarpments, terraces, canyons, fans, rise, seamounts, guyots, plateaus, spreading ridges, rift valleys, ridges, troughs, trenches, sills, basins, abyssal hills, abyssal mountains, abyssal plains, low, medium and high relief shelf.
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| Submitter/Owner | Mr. Miles Macmillan-Lawler ( OceanExpert : 29760 ) | ||||
| Submitter/Owner Role | UNEP-GRID | ||||
| Datasource URL | http://www.bluehabitats.org/?page_id=58 | ||||
| Parent Project URL | http://www.bluehabitats.org/ | ||||
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| English name | Access Data - Blue Habitats | ||||
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| Citation | Harris, P. T., Macmillan-Lawler, M., Rupp, J., & Baker, E. K. (2014). Geomorphology of the oceans. Marine Geology, 352, 4–24. https://doi.org/10.1016/j.margeo.2014.01.011 | ||||
| Abstract | The global seafloor geomorphology provides spatial layers (shapefile format) for 29 different seafloor geomorphic features mapped by Harris et. al. (2014). The layers were mapped based on the interpretation of the SRTM30 plus v7 global bathymetric model. Full details on the methodology can be found in the accompanying paper Harris, P. T., Macmillan-Lawler, M., Rupp, J., & Baker, E. K. (2014). Geomorphology of the oceans. Marine Geology, 352, 4–24. https://doi.org/10.1016/j.margeo.2014.01.011. The following geomorphic features are included in the data package: shelf, slope, abyss, hadal, shelf valleys, glacial troughs, coral reefs, escarpments, terraces, canyons, fans, rise, seamounts, guyots, plateaus, spreading ridges, rift valleys, ridges, troughs, trenches, sills, basins, abyssal hills, abyssal mountains, abyssal plains, low, medium and high relief shelf. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: GLOBAL Host Countries: GLOBAL Sea Region: World Themes: DS04 Marine geology Keywords: Geospatial data, Marine, geomorphic, geomorphology, marine habitats, ocean mapping, seabed habitats, seafloor
Last updated: 05/12/2020
Access to products - Copernicus Marine Environment Monitoring Service (ODIS id: 384)
http://marine.copernicus.eu/services-portfolio/access-to-products/
The CMEMS delivers a core information service to any user related to 4 areas of benefits be they ser ...
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Access to products - Copernicus Marine Environment Monitoring Service
The CMEMS delivers a core information service to any user related to 4 areas of benefits be they service providers or end-users from the commercial sector or from the R&D sector: Maritime Safety, Coastal and Marine Environment, Marine Resources, and Weather, Seasonal Forecasting and Climate activities
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://marine.copernicus.eu/services-portfolio/access-to-products/ | ||||
| Parent Project URL | http://marine.copernicus.eu/ | ||||
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| English name | Access to products - Copernicus Marine Environment Monitoring Service | ||||
| Original (non-English) name | |||||
| Acronym | Access to products - CMEMS | ||||
| Citation | The different ways to mention (credit) the E.U Copernicus Marine Service are available paragraph 2.4 of the CMEMS Licence, for answering all kind of use by the users of the CMEMS information. | ||||
| Abstract | The CMEMS delivers a core information service to any user related to 4 areas of benefits be they service providers or end-users from the commercial sector or from the R&D sector: Maritime Safety, Coastal and Marine Environment, Marine Resources, and Weather, Seasonal Forecasting and Climate activities | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Mercator Océan | ||||
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Languages: English Countries: Norway Host Countries: REGIONAL Sea Region: World Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Climate change, Spatial data, Static maps, carbon, chemistry, climatology, dissolved oxygen, global ocean, nutrients, ocean currents, plankton, sea ice, sea water salinity, sea water temperature, transparency, turbidity
Last updated: 02/10/2021
ADMIRALTY EasyTide - UK Hydrographic Office (ODIS id: 2974)
http://www.ukho.gov.uk/easytide/EasyTide/index.aspx
Find UK tide times for the next 7 days.
ADMIRALTY EasyTide - UK Hydrographic Office
Find UK tide times for the next 7 days.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.ukho.gov.uk/easytide/EasyTide/index.aspx | ||||
| Parent Project URL | https://www.admiralty.co.uk/ | ||||
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| English name | ADMIRALTY EasyTide - UK Hydrographic Office | ||||
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| Abstract | Find UK tide times for the next 7 days. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | UK Hydrographic Office | ||||
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Languages: English Countries: United Kingdom Host Countries: United Kingdom Sea Region: Celtic Sea, English Channel, North Atlantic Ocean, North Sea Themes: DS03 Physical oceanography Keywords: sea level, tides, tides forecast
Last updated: 11/12/2021
Air Temperature Forecast - Pacific Islands Ocean Observing System (ODIS id: 2599)
http://www.pacioos.hawaii.edu/weather-category/model-temperature/
PacIOOS’ Weather Research and Forecasting (WRF) model provides air temperature forecast.
Air Temperature Forecast - Pacific Islands Ocean Observing System
PacIOOS’ Weather Research and Forecasting (WRF) model provides air temperature forecast.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.pacioos.hawaii.edu/weather-category/model-temperature/ | ||||
| Parent Project URL | http://www.pacioos.hawaii.edu/ | ||||
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| English name | Air Temperature Forecast - Pacific Islands Ocean Observing System | ||||
| Original (non-English) name | |||||
| Acronym | Air Temperature Forecast - PacIOOS | ||||
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| Abstract | PacIOOS’ Weather Research and Forecasting (WRF) model provides air temperature forecast. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Pacific Islands Ocean Observing System | ||||
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Languages: English Countries: REGIONAL Host Countries: United States Sea Region: no searegion defined Themes: DS05 Atmosphere Keywords: air temperature, forecast model output, meteorological data, weather foreast
Last updated: 13/10/2021
Alaska/Arctic Weather Products - NOAA Ocean Prediction Center (ODIS id: 2530)
https://ocean.weather.gov/AK_tab.php
Alaska/Arctic weather products (Analysis, Graphical forecasts, Text forecasts, Hazards, and other ma ...
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Alaska/Arctic Weather Products - NOAA Ocean Prediction Center
Alaska/Arctic weather products (Analysis, Graphical forecasts, Text forecasts, Hazards, and other marine).
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://ocean.weather.gov/AK_tab.php | ||||
| Parent Project URL | https://ocean.weather.gov/ | ||||
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| English name | Alaska/Arctic Weather Products - NOAA Ocean Prediction Center | ||||
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| Abstract | Alaska/Arctic weather products (Analysis, Graphical forecasts, Text forecasts, Hazards, and other marine). | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - National Weather Service - National Centers for Environmental Prediction - Ocean Prediction Center | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Gulf of Alaska Themes: DS03 Physical oceanography Keywords: Forecast charts , data analysis, data products, polar conditions, weather foreast
Last updated: 05/10/2021
Along-Track Near Real-Time Sea Surface Height Anomaly Data Ocean Surface Topography from Space - NASA JPL (ODIS id: 3151)
https://sealevel.jpl.nasa.gov/data/along-track-nrt-data/
These maps show a daily sample of the along-track near-real-time (NRT) sea surface height anomaly (S ...
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Along-Track Near Real-Time Sea Surface Height Anomaly Data Ocean Surface Topography from Space - NASA JPL
These maps show a daily sample of the along-track near-real-time (NRT) sea surface height anomaly (SSHA) measurements from SARAL and the Jason-2 satellite altimeter mission. The seasonal cycle and trend have not been removed. Each map is generated from a 10-day window of SSHA measurements. The NRT SSHA measurements from these missions are typically available within 5 to 7 hours of real time.
These measurements can be used for meteorological applications (i.e. weather), marine operations (i.e. fishing, boating, offshore operations), and other applications where knowledge of current ocean conditions are relevant.
Along-Track Near Real-Time Sea Surface Height Anomaly Data Ocean Surface Topography from Space - NASA JPL (ODIS id 3151)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://sealevel.jpl.nasa.gov/data/along-track-nrt-data/ | ||||
| Parent Project URL | https://sealevel.jpl.nasa.gov/ | ||||
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| English name | Along-Track Near Real-Time Sea Surface Height Anomaly Data Ocean Surface Topography from Space - NASA JPL | ||||
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| Abstract | These maps show a daily sample of the along-track near-real-time (NRT) sea surface height anomaly (SSHA) measurements from SARAL and the Jason-2 satellite altimeter mission. The seasonal cycle and trend have not been removed. Each map is generated from a 10-day window of SSHA measurements. The NRT SSHA measurements from these missions are typically available within 5 to 7 hours of real time. These measurements can be used for meteorological applications (i.e. weather), marine operations (i.e. fishing, boating, offshore operations), and other applications where knowledge of current ocean conditions are relevant. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NASA Jet Propulsion Laboratory | ||||
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Languages: English Countries: GLOBAL Host Countries: United States Sea Region: World Themes: DS03 Physical oceanography Keywords: Jason-3, Poseidon-3, Satellite, satellite data, sea surface height, sea surface topography, significant wave height, waves
Last updated: 25/12/2021
American Tropical Seas Observatory - Institute for Marine and Coastal Research of Colombia (ODIS id: 923)
http://triton.invemar.org.co
The Tropical Seas of the Americas Observatory Portal (TRITON) is an initiative of the Geosciences Pr ...
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American Tropical Seas Observatory - Institute for Marine and Coastal Research of Colombia
The Tropical Seas of the Americas Observatory Portal (TRITON) is an initiative of the Geosciences Program of the Institute for Marine and Coastal Research - INVEMAR (Colombia). TRITON aims to be a tool to support research, productive activities and the follow-up of the evolution (monitoring) of oceanic conditions in the Caribbean region. To this end, TRITON displays in an almost permanent way and in close to real-time (between 6 hours and 2 days late) highly relevant oceanographic information in the highest spatial resolution possible for the entire basin.
The global oceanographic information displayed in TRITON comes from or has been processed from different satellite databases and free access to numerical model outputs. Its original sources can be consulted in the links provided together with the information corresponding to each variable. The data processing is carried out through PYTHON modules and later it is stored in NetCDF format. The information is displayed through a THREDDS 4.6.9 server (Thematic Real-time Environmental Distributed Data Services) in WMS format. WMS services are consumed and interpreted through Arcgis 3.30 Javascript framework.
Version: 2.0
American Tropical Seas Observatory - Institute for Marine and Coastal Research of Colombia (ODIS id 923)
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| Submitter/Owner | Mr. Leonardo Jose ARIAS ALEMÁN ( OceanExpert : 12914 ) | ||||
| Submitter/Owner Role | IODE ADU | ||||
| Datasource URL | http://triton.invemar.org.co | ||||
| Parent Project URL | https://www.invemar.org.co/ | ||||
| ODIS-Arch URL | https:// | ||||
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| English name | American Tropical Seas Observatory - Institute for Marine and Coastal Research of Colombia | ||||
| Original (non-English) name | Observatorio de los mares tropicales de las Americas, Triton - Instituto de Investigaciones Marinas y Costera de Colombia | ||||
| Acronym | TRITON - INVEMAR | ||||
| Citation | TN Diocean. (2018). Manual de Referencia en Mejores Prácticas de Gestión de Datos Oceánicos. Número 3/2018. Bogotá D.C., Colombia: DIMAR. DOI 10.26640/25392212.3.2018 | ||||
| Abstract | The Tropical Seas of the Americas Observatory Portal (TRITON) is an initiative of the Geosciences Program of the Institute for Marine and Coastal Research - INVEMAR (Colombia). TRITON aims to be a tool to support research, productive activities and the follow-up of the evolution (monitoring) of oceanic conditions in the Caribbean region. To this end, TRITON displays in an almost permanent way and in close to real-time (between 6 hours and 2 days late) highly relevant oceanographic information in the highest spatial resolution possible for the entire basin. The global oceanographic information displayed in TRITON comes from or has been processed from different satellite databases and free access to numerical model outputs. Its original sources can be consulted in the links provided together with the information corresponding to each variable. The data processing is carried out through PYTHON modules and later it is stored in NetCDF format. The information is displayed through a THREDDS 4.6.9 server (Thematic Real-time Environmental Distributed Data Services) in WMS format. WMS services are consumed and interpreted through Arcgis 3.30 Javascript framework. Version: 2.0 | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Instituto de Investigaciones Marinas y Costeras | ||||
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Languages: Spanish Countries: Colombia Host Countries: Colombia Sea Region: Caribbean Sea Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: Chlorophyll, Climate change, GIS, Geospatial data, Monitoring, Ocean Observing System, Sea surface temperature, WebGIS, air temperature, atmosphere, data buoy, ocean currents, sea level, wind speed
Last updated: 23/11/2023
An Atlas of Southern Ocean Planktonic Ostracods (ODIS id: 1726)
http://deep.iopan.gda.pl/ostracoda/index.php
Planktonic ostracods are a neglected component of mesoplanktonic communities, despite being almost u ...
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An Atlas of Southern Ocean Planktonic Ostracods
Planktonic ostracods are a neglected component of mesoplanktonic communities, despite being almost ubiquitous throughout the World's oceans. Currently the number of planktonic ostracods described from oceanic waters is 203. In addition there are 34 species of the family Thaumatocyprididae, which are predominantly either benthic or cavernicolous. We present a listing of the currently recognized species . In inshore waters, particularly in the vicinity of coral reefs, there is a great diversity of myodocopid ostracods that can be sampled in the water column especially at night. Most of these myodocopid species are not holoplanktonic, entering the water column at certain stages of their life histories. This site only covers the holoplanktonic species and does not deal with any of the neritic species.
In oceanic waters the vast majority of planktonic ostracods are halocyprids. They are often very abundant, and rank second to copepods in numerical abundance particularly in subthermocline waters. They may occur almost everywhere from the surface to abyssal depths. However, they are seldom encountered in the upper 100-200m of the water column at high latitudes (>50�), for example they are infrequently sampled by the Continuous Plankton Recorder, which is towed at 8-10m (Williams, 1975). However, their relatively small size (0.5->3mm) means their contribution to the overall planktonic biomass is usually small (<5%). Most species appear to be detritivores, seemingly adapted to exploit marine snow and other sinking particulates. The group frequently goes unreported, because there is a perception that they are difficult to identify, and so they are overlooked. This difficulty is more the result of a lack of good manuals of identification, rather than any greater intrinsic difficulty of identifying them compared with most other components of the plankton. As well as the halocyprids, there are eight very striking species of carnivorous deepwater myodocopids (i.e. Gigantocypris and Macrocypridina ) that are planktonic, but only two have been recorded from the Southern Ocean.
In preparing this atlas, we have compiled a complete inventory of published records for all known species that can be geo-positioned with reasonable accuracy. These data have been supplemented with a considerable body of unpublished data derived from material collected by Discovery Investigations mostly in the 1930's (identified by MVA). Our aim is ultimately to generate a global atlas for all the species. Here as an initial step we have focused on the species that have been recorded from the Southern Ocean . The criterion whereby we have chosen to include species is a single reliable record from south of 52�S. This reduces the number of species that are predominantly associated with low latitudes, but are advected into higher latitudes via mesoscale eddies. Other authors have used lower latitudes to delimit Southern Ocean species, for example Razouls et al. (2000) in their study of the biogeography of Antarctic copepods used 45�S as the northern limit of the Southern Ocean. Our compilation for these 47 species
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://deep.iopan.gda.pl/ostracoda/index.php | ||||
| Parent Project URL | http://deep.iopan.gda.pl/ostracoda/index.php | ||||
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| English name | An Atlas of Southern Ocean Planktonic Ostracods | ||||
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| Abstract | Planktonic ostracods are a neglected component of mesoplanktonic communities, despite being almost ubiquitous throughout the World's oceans. Currently the number of planktonic ostracods described from oceanic waters is 203. In addition there are 34 species of the family Thaumatocyprididae, which are predominantly either benthic or cavernicolous. We present a listing of the currently recognized species |
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Languages: English Countries: United Kingdom, Poland Host Countries: United Kingdom, Poland Sea Region: Southern Ocean Themes: DS01 Biological oceanography Keywords: Marine Species, Species Identification, knowledge and information, mapping, maps collection, marine biology, marine science, plankton, population dynamics
Last updated: 02/06/2021
Animal Telemetry Network Data Portal - U.S. Integrated Ocean Observing System (ODIS id: 2391)
https://portal.atn.ioos.us/
All Tag Deployments. Real-time Tag Deployments: Past 30 Days. Satellite Telemetry Project Inventory. ...
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Animal Telemetry Network Data Portal - U.S. Integrated Ocean Observing System
All Tag Deployments. Real-time Tag Deployments: Past 30 Days. Satellite Telemetry Project Inventory. Acoustic Telemetry Asset Inventory.
Data aggregated in the map are for visual summary. Displayed locations represent the position of the map cursor and do not report ingested raw data. These locations are not intended for scientific purposes.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://portal.atn.ioos.us/ | ||||
| Parent Project URL | https://ioos.us/ | ||||
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| English name | Animal Telemetry Network Data Portal - U.S. Integrated Ocean Observing System | ||||
| Original (non-English) name | |||||
| Acronym | ATN DAC Data Portal - IOOS | ||||
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| Abstract | All Tag Deployments. Real-time Tag Deployments: Past 30 Days. Satellite Telemetry Project Inventory. Acoustic Telemetry Asset Inventory. Data aggregated in the map are for visual summary. Displayed locations represent the position of the map cursor and do not report ingested raw data. These locations are not intended for scientific purposes. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - National Ocean Service - Integrated Ocean Observing System | ||||
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Languages: English Countries: GLOBAL Host Countries: United States Sea Region: World Themes: DS01 Biological oceanography Keywords: Marine Species, acoustic tags, acoustics monitoring, data visualization, map animations, mapping, telemetry
Last updated: 29/04/2022
Animated Ice charts - Danish Meteorological Institute (ODIS id: 3083)
http://ocean.dmi.dk/icecharts/index.uk.php
Animated sea Ice charts around Greenland. DMI regularly prepares escorts for Greenlandic waters. Ice ...
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Animated Ice charts - Danish Meteorological Institute
Animated sea Ice charts around Greenland. DMI regularly prepares escorts for Greenlandic waters. Ice maps help shipping in the affected waters to navigate. The center produces ice maps for three main regions: the Cape Farewell area, the West Coast and the East Coast.
The Cape Farewell area is mapped routinely, whereas the other maps are prepared according to the season and the sailing.
All ice cards use the international ice symbols also called the egg code, while the ice cards and animation shown here are a simplified representation based on DMI's weekly cards, where all ice types are included equally.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://ocean.dmi.dk/icecharts/index.uk.php | ||||
| Parent Project URL | https://www.dmi.dk/ | ||||
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| English name | Animated Ice charts - Danish Meteorological Institute | ||||
| Original (non-English) name | |||||
| Acronym | Animated Ice charts - DMI | ||||
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| Abstract | Animated sea Ice charts around Greenland. DMI regularly prepares escorts for Greenlandic waters. Ice maps help shipping in the affected waters to navigate. The center produces ice maps for three main regions: the Cape Farewell area, the West Coast and the East Coast. The Cape Farewell area is mapped routinely, whereas the other maps are prepared according to the season and the sailing. All ice cards use the international ice symbols also called the egg code, while the ice cards and animation shown here are a simplified representation based on DMI's weekly cards, where all ice types are included equally. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Danish Meteorological Institute | ||||
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Languages: Danish, English Countries: Denmark Host Countries: Denmark Sea Region: Baffin Bay, Greenland Sea, Labrador Sea Themes: DS03 Physical oceanography Keywords: data services, ice level, maps collection, navigation
Last updated: 22/01/2022
Animations - Arctic Regional Ocean Observing System (ODIS id: 2917)
https://arctic-roos.org/node/92
Animations about the scenario of sea level rising with the melting ice cover on Greenland and Antarc ...
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Animations - Arctic Regional Ocean Observing System
Animations about the scenario of sea level rising with the melting ice cover on Greenland and Antarctic, and Long-Term Global Surface Temperature Anomaly.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://arctic-roos.org/node/92 | ||||
| Parent Project URL | https://arctic.eurogoos.eu/ | ||||
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| English name | Animations - Arctic Regional Ocean Observing System | ||||
| Original (non-English) name | |||||
| Acronym | Animations - Arctic ROOS | ||||
| Citation | |||||
| Abstract | Animations about the scenario of sea level rising with the melting ice cover on Greenland and Antarctic, and Long-Term Global Surface Temperature Anomaly. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Nansen Environmental and Remote Sensing Center | ||||
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Languages: English Countries: REGIONAL Host Countries: Norway Sea Region: World Themes: DS03 Physical oceanography, DS10 Environment Keywords: animations, sea level anomaly
Last updated: 14/11/2021
Animations - Global Tropical Moored Buoy Array (ODIS id: 590)
https://www.pmel.noaa.gov/tao/drupal/ani/
The Global Tropical Moored Buoy Array Program is a multi-national effort to provide data in real-tim ...
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Animations - Global Tropical Moored Buoy Array
The Global Tropical Moored Buoy Array Program is a multi-national effort to provide data in real-time for climate research and forecasting. Major components include the TAO/TRITON array in the Pacific, PIRATA in the Atlantic, and RAMA in the Indian Ocean. The major phenomenological foci of this array are: (i) El Niño/Southern Oscillation (ENSO) in the Pacific; (ii) The interhemispheric dipole mode, equatorial warm events, and hurricane activity in the Atlantic; (iii) The monsoons, the Indian Ocean Dipole, and intraseasonal variability in the Indian Ocean.
The referred web page provides 3-D animations for temperature, currents, SST, wind.
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.pmel.noaa.gov/tao/drupal/ani/ | ||||
| Parent Project URL | https://www.noaa.gov/ | ||||
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| English name | Animations - Global Tropical Moored Buoy Array | ||||
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| Abstract | The Global Tropical Moored Buoy Array Program is a multi-national effort to provide data in real-time for climate research and forecasting. Major components include the TAO/TRITON array in the Pacific, PIRATA in the Atlantic, and RAMA in the Indian Ocean. The major phenomenological foci of this array are: (i) El Niño/Southern Oscillation (ENSO) in the Pacific; (ii) The interhemispheric dipole mode, equatorial warm events, and hurricane activity in the Atlantic; (iii) The monsoons, the Indian Ocean Dipole, and intraseasonal variability in the Indian Ocean. The referred web page provides 3-D animations for temperature, currents, SST, wind. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - Office of Oceanic and Atmospheric Research - Pacific Marine Environmental Laboratory | ||||
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Languages: English Countries: GLOBAL Host Countries: United States Sea Region: Atlantic Ocean, Indian Ocean, Pacific Ocean Themes: DS03 Physical oceanography Keywords: 3D images, Climate change, Sea surface temperature, dynamic height, el nino, la nina, ocean currents, oceans, sea water temperature, seasonal variations, wind
Last updated: 05/10/2021
Animations - NOAA Center for Tsunami Research (ODIS id: 2907)
https://nctr.pmel.noaa.gov/animate.html
Animations includes DART® buoy animations and MOST model animations of actual Tsunami Events.
Animations - NOAA Center for Tsunami Research
Animations includes DART® buoy animations and MOST model animations of actual Tsunami Events.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://nctr.pmel.noaa.gov/animate.html | ||||
| Parent Project URL | https://www.noaa.gov/ | ||||
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| English name | Animations - NOAA Center for Tsunami Research | ||||
| Original (non-English) name | |||||
| Acronym | Animations - NCTR | ||||
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| Abstract | Animations includes DART® buoy animations and MOST model animations of actual Tsunami Events. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - Office of Oceanic and Atmospheric Research - Pacific Marine Environmental Laboratory | ||||
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Languages: English Countries: GLOBAL Host Countries: United States Sea Region: no searegion defined Themes: DS03 Physical oceanography, DS04 Marine geology Keywords: Modelling, Video, tsunami, video repository
Last updated: 14/11/2021
Antarctic Master Directory (ODIS id: 481)
https://www.scar.org/data-products/antarctic-master-directory/
The Antarctic Master Directory is the largest collection of Antarctic data set description in the wo ...
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Antarctic Master Directory
The Antarctic Master Directory is the largest collection of Antarctic data set description in the world, holding over 7700 dataset descriptions from 25 countries. It is hosted by the Global Change Master Directory (GCMD) of the CEOS-IDN network to minimise duplication of resources and metadata.
In addition to the AMD portal, the GCMD has an IPY portal which highlights data that have been collected over the International Polar Year.
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.scar.org/data-products/antarctic-master-directory/ | ||||
| Parent Project URL | https://www.scar.org/ | ||||
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| English name | Antarctic Master Directory | ||||
| Original (non-English) name | |||||
| Acronym | AMD | ||||
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| Abstract | The Antarctic Master Directory is the largest collection of Antarctic data set description in the world, holding over 7700 dataset descriptions from 25 countries. It is hosted by the Global Change Master Directory (GCMD) of the CEOS-IDN network to minimise duplication of resources and metadata. In addition to the AMD portal, the GCMD has an IPY portal which highlights data that have been collected over the International Polar Year. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Scientific Committee on Antarctic Research | ||||
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Languages: English Countries: United Kingdom Host Countries: REGIONAL Sea Region: World Themes: DS05 Atmosphere, DS09 Cryosphere, DS10 Environment Keywords: Earth Polychromatic Imaging Camera, Environmental Vulnerability Index, Satellite, aerosols, atmospheric chemistry, data discovey, earth science, metadata, ozone, precipitation, remote sensing, surface reflectance
Last updated: 04/10/2021
Aquaculture Feed Resources database - FAO (ODIS id: 1026)
http://www.fao.org/fishery/affris/feed-resources-database/en/
Aquaculture Feed Resources database with the following 3 main components:
Anti-nutritional factors ...
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Aquaculture Feed Resources database - FAO
Aquaculture Feed Resources database with the following 3 main components:
Anti-nutritional factors within feed ingredients: The inclusion of plant-derived feed ingredients is limited by the presence of a wide variety of anti-nutritional substances. Some of these are protease inhibitors, phytates, glucosinolates, saponins tannins, lectins, oligosaccharides and non-starch polysaccharides, phytoestrogens, alkaloids, antigenic compounds, gossypols, cyanogens, mimosine, cyclopropenoid fatty acids, canavanine, antivitamins, and phorbol esters. These can sometimes be inactivated by ingredient processing methods such as heat. This part of the database records the anti-nutritional factors found in specific ingredients and the method of inactivation and toxic level where available.
Ingredient digestibility report: An important part of nutrition research is to determine the diet and ingredient digestibilities for a particular species. This part of the database records the apparent digestibility coefficients (ADCs) of nutrients and energy in selected feed ingredients and for selected aquaculture species. Such studies can focus on one or all of the following: dry matter, protein, lipid, fiber or chitin, ash, calcium, phosphorus, nitrogen-free extract (carbohydrate), energy, average amino acid, and specific amino acids.
Ingredient analysis: Feed ingredient analyses are reported here, including data such as the ingredients suitable for specific aquaculture species, the ingredient proximate analysis and the ingredient detailed analysis.
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| Submitter/Owner | Mr. Marc Taconet ( OceanExpert : 16546 ) | ||||
| Submitter/Owner Role | FAO | ||||
| Datasource URL | http://www.fao.org/fishery/affris/feed-resources-database/en/ | ||||
| Parent Project URL | http://www.fao.org/fishery/affris/affris-home/en/ | ||||
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| English name | Aquaculture Feed Resources database - FAO | ||||
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| Abstract | Aquaculture Feed Resources database with the following 3 main components: Anti-nutritional factors within feed ingredients: The inclusion of plant-derived feed ingredients is limited by the presence of a wide variety of anti-nutritional substances. Some of these are protease inhibitors, phytates, glucosinolates, saponins tannins, lectins, oligosaccharides and non-starch polysaccharides, phytoestrogens, alkaloids, antigenic compounds, gossypols, cyanogens, mimosine, cyclopropenoid fatty acids, canavanine, antivitamins, and phorbol esters. These can sometimes be inactivated by ingredient processing methods such as heat. This part of the database records the anti-nutritional factors found in specific ingredients and the method of inactivation and toxic level where available. Ingredient digestibility report: An important part of nutrition research is to determine the diet and ingredient digestibilities for a particular species. This part of the database records the apparent digestibility coefficients (ADCs) of nutrients and energy in selected feed ingredients and for selected aquaculture species. Such studies can focus on one or all of the following: dry matter, protein, lipid, fiber or chitin, ash, calcium, phosphorus, nitrogen-free extract (carbohydrate), energy, average amino acid, and specific amino acids. Ingredient analysis: Feed ingredient analyses are reported here, including data such as the ingredients suitable for specific aquaculture species, the ingredient proximate analysis and the ingredient detailed analysis. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | FAO Fisheries and Aquaculture Department | ||||
| Technical notes | Typo3 | ||||
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Languages: English, Spanish, French, Russian Countries: GLOBAL Host Countries: GLOBAL Sea Region: World Themes: DS11 Fisheries and aquaculture, DS12 Human activities Keywords: Feed ingredient analyses, Ingredient digestibility report, anti-nutritional substances, apparent digestibility coefficients, aquaculture, aquaculture species, diet and ingredient digestibilities, feed ingredients, ingredient processing methods, ingredients and the method, nutrients and energy, nutrition research, online database
Last updated: 09/10/2021
Archive for Marine Species and Habitats Data (ODIS id: 298)
https://www.dassh.ac.uk
Accredited through the MEDIN partnership, and core-funded by the Department for the Environment, Foo ...
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Archive for Marine Species and Habitats Data
Accredited through the MEDIN partnership, and core-funded by the Department for the Environment, Food and Rural Affairs (Defra) and the Scottish Government, DASSH provides tools and services for the long-term curation, management and publication of marine species and habitats data, within the UK and internationally.
Working closely with partners and data providers we are committed to the FAIR Data Principles, to make marine biodiversity data Findable, Accessible, Interoperable and Reusable.
DASSH is a flagship initiative of the Marine Biological Association (MBA) and builds on the MBA's historic role in marine science. Through partnerships with other UK and European data centres DASSH contributes to data portals including the NBN Atlas, EMODnet, EurOBIS and GBIF.
The Marine Biological Association (MBA) is one of the world’s longest-running societies dedicated to promoting research into our oceans and the life they support. Since 1884 we have been providing a unified, clear, independent voice on behalf of the marine biological community and currently have a growing membership in over 40 countries. We also run a leading marine biological research laboratory where many eminent scientists - including 7 Nobel prize winners - have carried out their research.
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| Submitter/Owner | Mr Dan Lear ( OceanExpert : 23316 ) | ||||
| Submitter/Owner Role | IODE ADU (OBIS) | ||||
| Datasource URL | https://www.dassh.ac.uk | ||||
| Parent Project URL | https://www.mba.ac.uk | ||||
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| English name | Archive for Marine Species and Habitats Data | ||||
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| Acronym | DASSH | ||||
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| Abstract | Accredited through the MEDIN partnership, and core-funded by the Department for the Environment, Food and Rural Affairs (Defra) and the Scottish Government, DASSH provides tools and services for the long-term curation, management and publication of marine species and habitats data, within the UK and internationally. Working closely with partners and data providers we are committed to the FAIR Data Principles, to make marine biodiversity data Findable, Accessible, Interoperable and Reusable. DASSH is a flagship initiative of the Marine Biological Association (MBA) and builds on the MBA's historic role in marine science. Through partnerships with other UK and European data centres DASSH contributes to data portals including the NBN Atlas, EMODnet, EurOBIS and GBIF. The Marine Biological Association (MBA) is one of the world’s longest-running societies dedicated to promoting research into our oceans and the life they support. Since 1884 we have been providing a unified, clear, independent voice on behalf of the marine biological community and currently have a growing membership in over 40 countries. We also run a leading marine biological research laboratory where many eminent scientists - including 7 Nobel prize winners - have carried out their research. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | The Marine Biological Association of the United Kingdom | ||||
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Languages: English Countries: United Kingdom Host Countries: United Kingdom Sea Region: Northeast Atlantic Ocean (40W) Themes: DS01 Biological oceanography, DS10 Environment Keywords: FAIRness, Marine, Marine Species, biodiversity, data archive, marine benthic survey data, marine habitats
Last updated: 30/09/2021
Arctic Data Ecosystem Map - Arctic Data Committee (ODIS id: 2955)
https://arcticdc.org/products/data-ecosystem-map
The objective of this activity is to establishing a map of the arctic data management “ecosystem� ...
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Arctic Data Ecosystem Map - Arctic Data Committee
The objective of this activity is to establishing a map of the arctic data management “ecosystem” or “universe”. This is both a concept map indicating projects, services and relationships as well as a geographic map indicating location (in a future iterations). The effort was started during the first meeting of the ADC in Potsdam, Germany, November 2014 and is an ongoing activity. The roadmap for this project includes establishing a linked open data end point that will allow people to query the database (i.e. using SPARQL). A prototype database and visualization tool has been developed and is scheduled for released in the last quarter of 2018. If you are interested in review the prototype, please use the contact informatio providee below.
In June of 2016, the concept of mapping the Arctic data ecosystem were presented by task lead, Peter Pulsifer, the second meeting of the Belmont Forum Funded Pan-Arctic Options Project. Similar concepts were being discussed by the Pan-Arctic Options team and other initiatives under organizations such as the Research Data Alliance have recently emerged. Starting in early 2017, this activity is now being carried out colloaboration with the Pan-Arctic Options project in collaboration with a number of other polar and global cyberinfrastructure initiatives. In June of 2018 an agreement in principle was reached to work with our partners at the Southern Ocean Observing System to map the data ecosystem related to their community. Results will be posted here and elsewhere.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://arcticdc.org/products/data-ecosystem-map | ||||
| Parent Project URL | https://arcticdc.org/ | ||||
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| English name | Arctic Data Ecosystem Map - Arctic Data Committee | ||||
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| Acronym | Arctic Data Ecosystem Map - ADC | ||||
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| Abstract | The objective of this activity is to establishing a map of the arctic data management “ecosystem” or “universe”. This is both a concept map indicating projects, services and relationships as well as a geographic map indicating location (in a future iterations). The effort was started during the first meeting of the ADC in Potsdam, Germany, November 2014 and is an ongoing activity. The roadmap for this project includes establishing a linked open data end point that will allow people to query the database (i.e. using SPARQL). A prototype database and visualization tool has been developed and is scheduled for released in the last quarter of 2018. If you are interested in review the prototype, please use the contact informatio providee below. In June of 2016, the concept of mapping the Arctic data ecosystem were presented by task lead, Peter Pulsifer, the second meeting of the Belmont Forum Funded Pan-Arctic Options Project. Similar concepts were being discussed by the Pan-Arctic Options team and other initiatives under organizations such as the Research Data Alliance have recently emerged. Starting in early 2017, this activity is now being carried out colloaboration with the Pan-Arctic Options project in collaboration with a number of other polar and global cyberinfrastructure initiatives. In June of 2018 an agreement in principle was reached to work with our partners at the Southern Ocean Observing System to map the data ecosystem related to their community. Results will be posted here and elsewhere. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | National Snow and Ice Data Center | ||||
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Languages: English Countries: REGIONAL Host Countries: REGIONAL Sea Region: Arctic Ocean Themes: DS06 Cross-discipline, DS10 Environment Keywords: arctic regions, data ecosystem mapping
Last updated: 04/12/2021
Arctic Oil Spill Assessment - Alaska Ocean Observing System (ODIS id: 2752)
https://aoos.org/project-page/projects-marine-operations/arctic-oil-spill-risk-assessment/
This project integrated data products describing vessel traffic patterns, estimated oil spill impact ...
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Arctic Oil Spill Assessment - Alaska Ocean Observing System
This project integrated data products describing vessel traffic patterns, estimated oil spill impacts, and subsistence use data from the communities of Utqiaġvik (formerly Barrow), Nuiqsut, and Kaktovik along the Beaufort Sea coast, and incorporated them into a unique tool for planners and subsistence community members. Spatial heat maps of vessel traffic density were developed by analyzing Automated Identification System (AIS) data from the Marine Exchange of Alaska and NOAA to isolate marine vessel corridors experiencing the heaviest traffic. Investigators ran over 100,000 oil spill trajectory scenarios powered by ocean circulation and atmospheric wind models initialized at locations and times corresponding with historical vessel traffic. Spill trajectory results were summarized to produce a spill impact density map for the Beaufort Sea. Subsistence use patterns were produced by aggregating individual subsistence mapping, harvest, and other socio-economic surveys from the Alaska Beaufort Sea communities of Utqiaġvik, Nuiqsut, and Kaktovik. These previously unavailable subsistence datasets include species descriptions, timing and area for targeted species, and other traditional ecological variables for each community. The subsistence mapping and species distribution data were compared to the spill impact density maps to estimate how different subsistence activities and their relative timing could be impacted in the event of a spill. The data gathered and synthesized through this project are now publicly accessible through an interactive web-based mapping tool as a mechanism for increasing public, private sector, government, and community knowledge about possible spill effects to subsistence uses in the US Arctic.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://aoos.org/project-page/projects-marine-operations/arctic-oil-spill-risk-assessment/ | ||||
| Parent Project URL | https://aoos.org/ | ||||
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| English name | Arctic Oil Spill Assessment - Alaska Ocean Observing System | ||||
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| Acronym | Arctic Oil Spill Assessment - AOOS | ||||
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| Abstract | This project integrated data products describing vessel traffic patterns, estimated oil spill impacts, and subsistence use data from the communities of Utqiaġvik (formerly Barrow), Nuiqsut, and Kaktovik along the Beaufort Sea coast, and incorporated them into a unique tool for planners and subsistence community members. Spatial heat maps of vessel traffic density were developed by analyzing Automated Identification System (AIS) data from the Marine Exchange of Alaska and NOAA to isolate marine vessel corridors experiencing the heaviest traffic. Investigators ran over 100,000 oil spill trajectory scenarios powered by ocean circulation and atmospheric wind models initialized at locations and times corresponding with historical vessel traffic. Spill trajectory results were summarized to produce a spill impact density map for the Beaufort Sea. Subsistence use patterns were produced by aggregating individual subsistence mapping, harvest, and other socio-economic surveys from the Alaska Beaufort Sea communities of Utqiaġvik, Nuiqsut, and Kaktovik. These previously unavailable subsistence datasets include species descriptions, timing and area for targeted species, and other traditional ecological variables for each community. The subsistence mapping and species distribution data were compared to the spill impact density maps to estimate how different subsistence activities and their relative timing could be impacted in the event of a spill. The data gathered and synthesized through this project are now publicly accessible through an interactive web-based mapping tool as a mechanism for increasing public, private sector, government, and community knowledge about possible spill effects to subsistence uses in the US Arctic. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - National Ocean Service - Integrated Ocean Observing System | ||||
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Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Beaufort Sea Themes: DS10 Environment, DS12 Human activities Keywords: Contamination, Interactive maps, human activities, mapping, navigation, oil spill response planning, risk management, vulnerable ecosystems
Last updated: 30/10/2021
Arctic Research Mapping Application (ODIS id: 2962)
https://armap.org/
The Arctic Research Mapping Application is designed for funding agencies, logistics planners, resear ...
more
Arctic Research Mapping Application
The Arctic Research Mapping Application is designed for funding agencies, logistics planners, research investigators, students, and others to explore information about science being conducted across the Arctic. Hundreds of project locations and ship tracks are shown on the interactive web map, with easy access to details on funding agency, funding program, scientific discipline, principal investigator, project title, and much more.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://armap.org/ | ||||
| Parent Project URL | https://armap.org/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Arctic Research Mapping Application | ||||
| Original (non-English) name | |||||
| Acronym | ARMAP | ||||
| Citation | |||||
| Abstract | The Arctic Research Mapping Application is designed for funding agencies, logistics planners, research investigators, students, and others to explore information about science being conducted across the Arctic. Hundreds of project locations and ship tracks are shown on the interactive web map, with easy access to details on funding agency, funding program, scientific discipline, principal investigator, project title, and much more. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: REGIONAL Host Countries: REGIONAL Sea Region: Arctic Ocean Themes: DS10 Environment, DS12 Human activities Keywords: Arctic research, data visualization, information and resources, mapping
Last updated: 06/12/2021
Areas of Biological Significance Explorer - Southern California Coastal Ocean Observing System (ODIS id: 2553)
https://sccoos.org/data/map/asbs.html
You can select near real-time point observations, static point observations, spatial observations an ...
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Areas of Biological Significance Explorer - Southern California Coastal Ocean Observing System
You can select near real-time point observations, static point observations, spatial observations and models.
Areas of Biological Significance Explorer - Southern California Coastal Ocean Observing System (ODIS id 2553)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://sccoos.org/data/map/asbs.html | ||||
| Parent Project URL | https://sccoos.org/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Areas of Biological Significance Explorer - Southern California Coastal Ocean Observing System | ||||
| Original (non-English) name | |||||
| Acronym | ASBS Explorer - SCCOOS | ||||
| Citation | |||||
| Abstract | You can select near real-time point observations, static point observations, spatial observations and models. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Pacific Ocean Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography Keywords: biological classification, data visualization, mapping, water quality
Last updated: 09/10/2021
Argo - floats dashboard (ODIS id: 417)
https://fleetmonitoring.euro-argo.eu/dashboard
This portal provides details of each Argo float: floats map, Atlantic Ocean, Indian Ocean, and Pacif ...
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Argo - floats dashboard
This portal provides details of each Argo float: floats map, Atlantic Ocean, Indian Ocean, and Pacific Ocean.
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://fleetmonitoring.euro-argo.eu/dashboard | ||||
| Parent Project URL | https://argo.ucsd.edu/ | ||||
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| ODIS-Arch Type | |||||
| English name | Argo - floats dashboard | ||||
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| Citation | These data were collected and made freely available by the International Argo Program and the national programs that contribute to it. (http://www.argo.ucsd.edu, http://argo.jcommops.org). The Argo Program is part of the Global Ocean Observing System. | ||||
| Abstract | This portal provides details of each Argo float: floats map, Atlantic Ocean, Indian Ocean, and Pacific Ocean. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Institut Français de Recherche pour l'Exploitation de la Mer, Ifremer, Centre de Bretagne | ||||
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Languages: English Countries: GLOBAL Host Countries: France Sea Region: World Themes: DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Argo, float, global ocean, global ocean observing system, in-situ, mapping, ocean circulation, ocean pressure, oceanographic data, profile, sea water salinity, sea water temperature, weather climate and seasonal observation
Last updated: 02/10/2021
Argo Float Atlas in the Indian Ocean - Iranian National Center for Ocean Data (ODIS id: 12)
http://incod.inio.ac.ir/atlas?cat=argo
The Iranian National Center for Ocean Data (INCOD) has devepoed Argo Float Atlases in the Indian Oce ...
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Argo Float Atlas in the Indian Ocean - Iranian National Center for Ocean Data
The Iranian National Center for Ocean Data (INCOD) has devepoed Argo Float Atlases in the Indian Ocean from 2012 until now.
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| Submitter/Owner | Mrs. Farnaz Ghiasi ( OceanExpert : 26554 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | http://incod.inio.ac.ir/atlas?cat=argo | ||||
| Parent Project URL | http://incod.inio.ac.ir/ | ||||
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| English name | Argo Float Atlas in the Indian Ocean - Iranian National Center for Ocean Data | ||||
| Original (non-English) name | |||||
| Acronym | Argo Float Atlas in the Indian Ocean - INCOD | ||||
| Citation | |||||
| Abstract | The Iranian National Center for Ocean Data (INCOD) has devepoed Argo Float Atlases in the Indian Ocean from 2012 until now. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Iranian National Center for Ocean Data | ||||
| Technical notes | |||||
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| Spatial Coverage | Oman Sea and Indian Ocean | ||||
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Languages: English Countries: REGIONAL Host Countries: Iran Sea Region: Indian Ocean Themes: DS03 Physical oceanography Keywords: Argo, global ocean observing system, long-term variations, profiling buoy, sea water pressure, sea water salinity, sea water temperature, seasonal variations
Last updated: 11/11/2023
Asia-Pacific Regional Ocean Accounts Platform (ODIS id: 742)
http://communities.unescap.org/environment-statistics/tools/ocean-accounts
Vital information to monitor and evaluate progress towards SDG 14 is available, but it is fragmented ...
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Asia-Pacific Regional Ocean Accounts Platform
Vital information to monitor and evaluate progress towards SDG 14 is available, but it is fragmented across scientific domains, policy frameworks and institutions. The Regional Ocean Accounts Platform brings together information, resources and partners as part of a global effort to develop statistical guidance for Ocean Accounts based on the System of Environmental Economic Accounting (SEEA) in support of SDG14, Ocean Governance and sustainable Ocean practices
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| Submitter/Owner | stat unescap ( OceanExpert : 41443 ) | ||||
| Submitter/Owner Role | ESCAP | ||||
| Datasource URL | http://communities.unescap.org/environment-statistics/tools/ocean-accounts | ||||
| Parent Project URL | https://communities.unescap.org/ | ||||
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| English name | Asia-Pacific Regional Ocean Accounts Platform | ||||
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| Abstract | Vital information to monitor and evaluate progress towards SDG 14 is available, but it is fragmented across scientific domains, policy frameworks and institutions. The Regional Ocean Accounts Platform brings together information, resources and partners as part of a global effort to develop statistical guidance for Ocean Accounts based on the System of Environmental Economic Accounting (SEEA) in support of SDG14, Ocean Governance and sustainable Ocean practices | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | United Nations Economic and Social Commission for Asia and the Pacific | ||||
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Languages: English Countries: GLOBAL Host Countries: GLOBAL Sea Region: World Themes: DS06 Cross-discipline Keywords: Ecosystems, SDG14, Training and education, expertise, marine spatial planning
Last updated: 08/10/2021
Asian Tiger Shrimp Observations in the Gulf of Mexico - Gulf of Mexico Coastal OceanObserving System (ODIS id: 2625)
https://www.arcgis.com/apps/webappviewer/index.html?id=2ec55c63f06d4da0af1da13490ca2f64
The Gulf of Mexico Coastal OceanObserving System (GCOOS) aggregates data from regional data provider ...
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Asian Tiger Shrimp Observations in the Gulf of Mexico - Gulf of Mexico Coastal OceanObserving System
The Gulf of Mexico Coastal OceanObserving System (GCOOS) aggregates data from regional data providers for the convenience of all data users. Data published on this site should not be used for navigation or certain other uses as we cannot guarantee data accuracy or availability. The data delivery services are provided ‘as is’ without warranty of any kind. By use of the website and/or any of its services or products, you agree to abide by the terms of this Disclaimer.
Asian Tiger Shrimp Observations in the Gulf of Mexico - Gulf of Mexico Coastal OceanObserving System (ODIS id 2625)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.arcgis.com/apps/webappviewer/index.html?id=2ec55c63f06d4da0af1da13490ca2f64 | ||||
| Parent Project URL | https://gcoos.org/ | ||||
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| English name | Asian Tiger Shrimp Observations in the Gulf of Mexico - Gulf of Mexico Coastal OceanObserving System | ||||
| Original (non-English) name | |||||
| Acronym | Asian Tiger Shrimp Observations in the Gulf of Mexico - GCOOS | ||||
| Citation | |||||
| Abstract | The Gulf of Mexico Coastal OceanObserving System (GCOOS) aggregates data from regional data providers for the convenience of all data users. Data published on this site should not be used for navigation or certain other uses as we cannot guarantee data accuracy or availability. The data delivery services are provided ‘as is’ without warranty of any kind. By use of the website and/or any of its services or products, you agree to abide by the terms of this Disclaimer. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Gulf of Mexico Coastal Ocean Observing System | ||||
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Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Gulf of Mexico Themes: DS01 Biological oceanography Keywords: Marine, Marine Species, data visualization, invasive species, mapping
Last updated: 14/10/2021
Assets Explorer - Caribbean Coastal Ocean Observing System (ODIS id: 1233)
http://assets.maracoos.org/?config=cari
The CariCOOS Caribbean Asset Explorer is a tool for exploring
Caribbean observations and forecast. ...
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Assets Explorer - Caribbean Coastal Ocean Observing System
The CariCOOS Caribbean Asset Explorer is a tool for exploring
Caribbean observations and forecast.
A project to enhance CaRA users’ experience and capabilities by
expanding access to integrated CariCOOS observations and
forecasts. Based on the MARACOOS Assets Explore developed by RPS ASA
(assets.maracoos.org). It takes advantage of DMAC standards and web services
supported by US IOOS. CariCOOS has successful observations, products, and web
access – the CCAE will make them (and others) accessible through a common interface. Products and users can be expanded to the wider Caribbean in support
of the Global Ocean Observing System Regional Alliance for the Wider
Caribbean (IOCARIBE-GOOS).
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://assets.maracoos.org/?config=cari | ||||
| Parent Project URL | https://www.caricoos.org/ | ||||
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| English name | Assets Explorer - Caribbean Coastal Ocean Observing System | ||||
| Original (non-English) name | |||||
| Acronym | Assets Explorer - CARICOOS | ||||
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| Abstract | The CariCOOS Caribbean Asset Explorer is a tool for exploring Caribbean observations and forecast. A project to enhance CaRA users’ experience and capabilities by expanding access to integrated CariCOOS observations and forecasts. Based on the MARACOOS Assets Explore developed by RPS ASA (assets.maracoos.org). It takes advantage of DMAC standards and web services supported by US IOOS. CariCOOS has successful observations, products, and web access – the CCAE will make them (and others) accessible through a common interface. Products and users can be expanded to the wider Caribbean in support of the Global Ocean Observing System Regional Alliance for the Wider Caribbean (IOCARIBE-GOOS). | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - National Ocean Service - Integrated Ocean Observing System | ||||
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Languages: English, Spanish Countries: United States Host Countries: United States Sea Region: Caribbean Sea Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: Modelling, WebGIS, data discovey, forecast model output, observation data, observing system, ocean circulation, ocean currents, oceanographic data, real-time data
Last updated: 12/10/2021
ASSIST - NOAA Office of Coast Survey (ODIS id: 2783)
https://www.nauticalcharts.noaa.gov/customer-service/assist/
On November 16, 2018, NOAA released ASSIST, a new system for submitting questions and reporting naut ...
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ASSIST - NOAA Office of Coast Survey
On November 16, 2018, NOAA released ASSIST, a new system for submitting questions and reporting nautical chart errors to NOAA's Office of Coast Survey. ASSIST has a mobile-friendly design and improved user interface that allows customers to access the system conveniently from any device.
This new tool replaces Coast Survey's Inquiry and Discrepancy Management System (IDMS), a non-spatial system used to collect comments, inquiries, and discrepancy reports since 2008.
ASSIST is a spatially enabled inquiry and discrepancy management system. It uses a Web AppBuilder front end to allow users to visualize NOAA raster and vector charts and tag issues with comments using a web form.
It uses ArcGIS for Maritime Server services for visualizing the latest ENC data. ASSIST also uses ArcGIS Workflow Manager on the back-end to create and manage jobs for items that are submitted. ArcGIS Workflow Manager tracks the life cycle of the item from submission to closure.
These improvements streamline the internal Coast Survey workflow, allowing faster, more efficient responses to customers.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.nauticalcharts.noaa.gov/customer-service/assist/ | ||||
| Parent Project URL | https://www.nauticalcharts.noaa.gov/index.html | ||||
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| English name | ASSIST - NOAA Office of Coast Survey | ||||
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| Abstract | On November 16, 2018, NOAA released ASSIST, a new system for submitting questions and reporting nautical chart errors to NOAA's Office of Coast Survey. ASSIST has a mobile-friendly design and improved user interface that allows customers to access the system conveniently from any device. This new tool replaces Coast Survey's Inquiry and Discrepancy Management System (IDMS), a non-spatial system used to collect comments, inquiries, and discrepancy reports since 2008. ASSIST is a spatially enabled inquiry and discrepancy management system. It uses a Web AppBuilder front end to allow users to visualize NOAA raster and vector charts and tag issues with comments using a web form. It uses ArcGIS for Maritime Server services for visualizing the latest ENC data. ASSIST also uses ArcGIS Workflow Manager on the back-end to create and manage jobs for items that are submitted. ArcGIS Workflow Manager tracks the life cycle of the item from submission to closure. These improvements streamline the internal Coast Survey workflow, allowing faster, more efficient responses to customers. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA, National Ocean Service | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Arctic Ocean, Atlantic Ocean, Beaufort Sea, Bering Sea, Caribbean Sea, Chukchi Sea, Gulf of Alaska, Gulf of Mexico, Pacific Ocean Themes: DS12 Human activities Keywords: Public participation, data services, mapping, marine-coastal information, navigation
Last updated: 31/10/2021
Assorted plots - Global Tropical Moored Buoy Array (ODIS id: 591)
https://www.pmel.noaa.gov/gtmba/assorted-plots
The Global Tropical Moored Buoy Array Program is a multi-national effort to provide data in real-tim ...
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Assorted plots - Global Tropical Moored Buoy Array
The Global Tropical Moored Buoy Array Program is a multi-national effort to provide data in real-time for climate research and forecasting. Major components include the TAO/TRITON array in the Pacific, PIRATA in the Atlantic, and RAMA in the Indian Ocean. The major phenomenological foci of this array are: (i) El Niño/Southern Oscillation (ENSO) in the Pacific; (ii) The interhemispheric dipole mode, equatorial warm events, and hurricane activity in the Atlantic; (iii) The monsoons, the Indian Ocean Dipole, and intraseasonal variability in the Indian Ocean.
The referred web page provides various plots.
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.pmel.noaa.gov/gtmba/assorted-plots | ||||
| Parent Project URL | https://www.noaa.gov/ | ||||
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| English name | Assorted plots - Global Tropical Moored Buoy Array | ||||
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| Abstract | The Global Tropical Moored Buoy Array Program is a multi-national effort to provide data in real-time for climate research and forecasting. Major components include the TAO/TRITON array in the Pacific, PIRATA in the Atlantic, and RAMA in the Indian Ocean. The major phenomenological foci of this array are: (i) El Niño/Southern Oscillation (ENSO) in the Pacific; (ii) The interhemispheric dipole mode, equatorial warm events, and hurricane activity in the Atlantic; (iii) The monsoons, the Indian Ocean Dipole, and intraseasonal variability in the Indian Ocean. The referred web page provides various plots. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - Office of Oceanic and Atmospheric Research - Pacific Marine Environmental Laboratory | ||||
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Languages: English Countries: GLOBAL Host Countries: United States Sea Region: Atlantic Ocean, Indian Ocean, Pacific Ocean Themes: DS03 Physical oceanography Keywords: Sea surface temperature, heat content, oceans, seasonal variations, wind
Last updated: 05/10/2021
Atlantic Weather Products - NOAA Ocean Prediction Center (ODIS id: 2531)
https://ocean.weather.gov/Atl_tab.php
Atlantic weather products (Analysis, Graphical forecasts, Text forecasts, Hazards, and other marine) ...
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Atlantic Weather Products - NOAA Ocean Prediction Center
Atlantic weather products (Analysis, Graphical forecasts, Text forecasts, Hazards, and other marine).
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://ocean.weather.gov/Atl_tab.php | ||||
| Parent Project URL | https://ocean.weather.gov/ | ||||
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| English name | Atlantic Weather Products - NOAA Ocean Prediction Center | ||||
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| Abstract | Atlantic weather products (Analysis, Graphical forecasts, Text forecasts, Hazards, and other marine). | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - National Weather Service - National Centers for Environmental Prediction - Ocean Prediction Center | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Atlantic Ocean Themes: DS03 Physical oceanography Keywords: Forecast charts , data analysis, data products, weather foreast
Last updated: 05/10/2021
ATLAS GeoNode (ODIS id: 2335)
http://www.atlas-horizon2020.eu/
ATLAS is a European Horizon 2020 project "A transatlantic assessment and deep-water ecosystem-based ...
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ATLAS GeoNode
ATLAS is a European Horizon 2020 project "A transatlantic assessment and deep-water ecosystem-based spatial management plan for Europe". This GeoNode page acts as a central hub for project partners to discover, visualize and download ATLAS geospatial data through a dedicated online GIS platform.
Here you can find links to tutorials for submitting data sets at PANGAEA and uploading files to ZENODO.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.atlas-horizon2020.eu/ | ||||
| Parent Project URL | http://www.eu-atlas.org/index.html | ||||
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| English name | ATLAS GeoNode | ||||
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| Abstract | ATLAS is a European Horizon 2020 project "A transatlantic assessment and deep-water ecosystem-based spatial management plan for Europe". This GeoNode page acts as a central hub for project partners to discover, visualize and download ATLAS geospatial data through a dedicated online GIS platform. Here you can find links to tutorials for submitting data sets at PANGAEA and uploading files to ZENODO. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | The University of Edinburgh | ||||
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Languages: English Countries: REGIONAL Host Countries: United Kingdom Sea Region: Atlantic Ocean Themes: DS01 Biological oceanography Keywords: Geospatial data, data access, data visualization, deep sea, mapping
Last updated: 02/12/2021
Atlas of the Lagoon of Venice (ODIS id: 615)
http://www.silvenezia.it
The Atlas of the Lagoon is a collection of interactive maps with associated texts, tables, illustrat ...
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Atlas of the Lagoon of Venice
The Atlas of the Lagoon is a collection of interactive maps with associated texts, tables, illustrations and external databases covering various aspects of the lagoon environment, the territory and the coastal area of Venice.
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.silvenezia.it | ||||
| Parent Project URL | http://www.silvenezia.it | ||||
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| English name | Atlas of the Lagoon of Venice | ||||
| Original (non-English) name | Atlante della Laguna - Il geoportale della laguna, del territorio e della zona costiera di Venezia | ||||
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| Abstract | The Atlas of the Lagoon is a collection of interactive maps with associated texts, tables, illustrations and external databases covering various aspects of the lagoon environment, the territory and the coastal area of Venice. | ||||
| Technical contact email | please check the record details page | ||||
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| Spatial Coverage | Venezia Lagoon | ||||
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Languages: Italian Countries: Italy Host Countries: Italy Sea Region: Adriatic Sea Themes: DS01 Biological oceanography, DS06 Cross-discipline, DS08 Terrestrial, DS10 Environment Keywords: Coastal zone, GIS, Geospatial data, Phytoplankton, Vegetation, WebGIS, coastal habitats, coastal mapping, conservation
Last updated: 13/07/2021
Automated Shore Stations - Southern California Coastal Ocean Observing System (ODIS id: 2544)
https://sccoos.org/autoss/
These pages show current ocean observations from moored sensors on piers throughout southern Califor ...
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Automated Shore Stations - Southern California Coastal Ocean Observing System
These pages show current ocean observations from moored sensors on piers throughout southern California. Data shown below include limited data quality checks and flags in live feed mode, and may not capture all sensor drift, biofouling or malfunctions. Post processed data with a full suite of data quality checks and validation samples will be available soon.
Automated shore stations consist of a suite of sensors that are attached to piers at several locations along the California coast. These automated sensors measure temperature, salinity, chlorophyll, and water level at frequent intervals in the nearshore coastal ocean. This data can provide local and regional information on mixing and upwelling, land run-off, and algal blooms.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://sccoos.org/autoss/ | ||||
| Parent Project URL | https://sccoos.org | ||||
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| English name | Automated Shore Stations - Southern California Coastal Ocean Observing System | ||||
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| Acronym | Automated Shore Stations - SCCOOS | ||||
| Citation | |||||
| Abstract | These pages show current ocean observations from moored sensors on piers throughout southern California. Data shown below include limited data quality checks and flags in live feed mode, and may not capture all sensor drift, biofouling or malfunctions. Post processed data with a full suite of data quality checks and validation samples will be available soon. Automated shore stations consist of a suite of sensors that are attached to piers at several locations along the California coast. These automated sensors measure temperature, salinity, chlorophyll, and water level at frequent intervals in the nearshore coastal ocean. This data can provide local and regional information on mixing and upwelling, land run-off, and algal blooms. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - National Ocean Service - Integrated Ocean Observing System | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Pacific Ocean Themes: DS01 Biological oceanography, DS03 Physical oceanography Keywords: data visualization, mooring, observation data, observational oceanography, observing system
Last updated: 09/10/2021
Automatic Identification System - Southern California Coastal Ocean Observing System (ODIS id: 2556)
https://www.marinetraffic.com/en/ais/home/centerx:-118.9/centery:34.0/zoom:9
Explore Marine Traffic.
Automatic Identification System - Southern California Coastal Ocean Observing System
Explore Marine Traffic.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.marinetraffic.com/en/ais/home/centerx:-118.9/centery:34.0/zoom:9 | ||||
| Parent Project URL | https://sccoos.org/ | ||||
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| English name | Automatic Identification System - Southern California Coastal Ocean Observing System | ||||
| Original (non-English) name | |||||
| Acronym | AIS - SCCOOS | ||||
| Citation | |||||
| Abstract | Explore Marine Traffic. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Pacific Ocean Themes: DS12 Human activities Keywords: data visualization, navigation
Last updated: 09/10/2021
Autonomous Wave Forecast System - SOCIB (ODIS id: 2035)
https://www.socib.es/?seccion=modelling&facility=sapo
SAPO (Autonomous Wave Forecast System) of Balearic Islands is a 72-hour forecast service that SOCIB ...
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Autonomous Wave Forecast System - SOCIB
SAPO (Autonomous Wave Forecast System) of Balearic Islands is a 72-hour forecast service that SOCIB developed in collaboration with Puertos del Estado. This system runs on SOCIB's computing center. SWAN model is executed in automatic mode twice a day, using as input wave and wind forecasts provided by Puertos del Estado. The model results show the evolution of waves characteristics (height, period and direction) from deep to shallow waters, with a resolution of 1.4 km. Finer resolution (0.5km) simulations around the Balearic Islands are also available on SOCIB thredds server.
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| Submitter/Owner | Mr Juan Gabriel Fernández ( OceanExpert : 38703 ) | ||||
| Submitter/Owner Role | IODE ADU | ||||
| Datasource URL | https://www.socib.es/?seccion=modelling&facility=sapo | ||||
| Parent Project URL | https://www.socib.es/ | ||||
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| English name | Autonomous Wave Forecast System - SOCIB | ||||
| Original (non-English) name | Sistema Autónomo de Predicción de Oleaje Illes Balears | ||||
| Acronym | SAPO IB | ||||
| Citation | Data generated by SAPO are freely available, provided that SOCIB and Puertos del Estado are properly acknowledged. 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 | SAPO (Autonomous Wave Forecast System) of Balearic Islands is a 72-hour forecast service that SOCIB developed in collaboration with Puertos del Estado. This system runs on SOCIB's computing center. SWAN model is executed in automatic mode twice a day, using as input wave and wind forecasts provided by Puertos del Estado. The model results show the evolution of waves characteristics (height, period and direction) from deep to shallow waters, with a resolution of 1.4 km. Finer resolution (0.5km) simulations around the Balearic Islands are also available on SOCIB thredds server. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | Model outputs are available in NetCDF format through SOCIB THREDDS catalog: Individual model run outputs and aggregated data | ||||
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| Spatial Coverage | Balearic Islands coastal areas, Ibiza channel and Mallorca channel | ||||
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Languages: Catalan, English, Spanish Countries: Spain Host Countries: Spain Sea Region: Alboran Sea, Balearic Sea, Mediterranean Sea, Western Basin Themes: DS03 Physical oceanography Keywords: Modelling, forecast model output, forecasting system, wave height and direction, waves
Last updated: 13/10/2022
AVHRR and VIIRS Satellite Imagery - NOAA CoastWatch Great Lakes Node (ODIS id: 2876)
https://coastwatch.glerl.noaa.gov/satellite.html
AVHRR and VIIRS satellite Imagery.
AVHRR and VIIRS Satellite Imagery - NOAA CoastWatch Great Lakes Node
AVHRR and VIIRS satellite Imagery.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://coastwatch.glerl.noaa.gov/satellite.html | ||||
| Parent Project URL | https://www.noaa.gov/ | ||||
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| English name | AVHRR and VIIRS Satellite Imagery - NOAA CoastWatch Great Lakes Node | ||||
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| Abstract | AVHRR and VIIRS satellite Imagery. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | National Oceanic and Atmospheric Administration | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: no searegion defined Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: data products, image gallery, satellite imagery, water temperature
Last updated: 14/02/2022
Balearic RIssaga Forecasting System - SOCIB (ODIS id: 2034)
https://www.socib.eu/?seccion=modelling&facility=rissagaforecast
The Balearic RIssaga Forecasting System (BRIFS) aims to quantitatively predict the occurrence of ext ...
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Balearic RIssaga Forecasting System - SOCIB
The Balearic RIssaga Forecasting System (BRIFS) aims to quantitatively predict the occurrence of extreme sea level oscillations associated with meteotsunamis in the Menorcan harbour of Ciutadella. Combining both atmospheric and oceanic modelling, the system is run once a day in the morning and provides a 48-hour prediction of air pressure disturbances and associated sea level response over the Balearic shelf and in Ciutadella harbour.
The Weather Research and Forecasting model (WRF) is implemented in a two-nested-grid configuration over the Western Mediterranean basin, with a grid refinement (4km) over an area around the Balearic Islands extending to the South until the Algerian coast. Ninety-seven vertical levels are employed with a finer resolution in the lower levels to adequately resolve the characteristic inversion layer associated with Rissaga phenomena. Initial state and boundary conditions are prescribed from the synoptic atmospheric conditions described by the FNL/GFS analysis/forecast from the National Centers for Environmental Prediction (NCEP).
WRF air pressure outputs with a 2-minute temporal resolution are used to force a two-nested grid configuration of the Regional Ocean Modelling System (ROMS). ROMS is a 3D free-surface, split-explicit primitive equation model with Boussinesq and hydrostatic approximations. Due to the 2-dimensional nature of the processes involved in the build-up of the rissaga, BRIFS does not consider any density stratification. The larger domain covers the Balearic Islands with a horizontal resolution of 1km. It provides the boundary conditions to the inner domain, which covers the area around Ciutadella with a spatial resolution of 10m.
Further details of the system configuration can be found in Renault et al. (2011).
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| Submitter/Owner | Mr Juan Gabriel Fernández ( OceanExpert : 38703 ) | ||||
| Submitter/Owner Role | IODE ADU | ||||
| Datasource URL | https://www.socib.eu/?seccion=modelling&facility=rissagaforecast | ||||
| Parent Project URL | https://www.socib.eu/ | ||||
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| English name | Balearic RIssaga Forecasting System - SOCIB | ||||
| Original (non-English) name | Sistema de predicción de Meteo-Tsunamis - SOCIB | ||||
| Acronym | BRIFS - SOCIB | ||||
| 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 | The Balearic RIssaga Forecasting System (BRIFS) aims to quantitatively predict the occurrence of extreme sea level oscillations associated with meteotsunamis in the Menorcan harbour of Ciutadella. Combining both atmospheric and oceanic modelling, the system is run once a day in the morning and provides a 48-hour prediction of air pressure disturbances and associated sea level response over the Balearic shelf and in Ciutadella harbour. The Weather Research and Forecasting model (WRF) is implemented in a two-nested-grid configuration over the Western Mediterranean basin, with a grid refinement (4km) over an area around the Balearic Islands extending to the South until the Algerian coast. Ninety-seven vertical levels are employed with a finer resolution in the lower levels to adequately resolve the characteristic inversion layer associated with Rissaga phenomena. Initial state and boundary conditions are prescribed from the synoptic atmospheric conditions described by the FNL/GFS analysis/forecast from the National Centers for Environmental Prediction (NCEP). WRF air pressure outputs with a 2-minute temporal resolution are used to force a two-nested grid configuration of the Regional Ocean Modelling System (ROMS). ROMS is a 3D free-surface, split-explicit primitive equation model with Boussinesq and hydrostatic approximations. Due to the 2-dimensional nature of the processes involved in the build-up of the rissaga, BRIFS does not consider any density stratification. The larger domain covers the Balearic Islands with a horizontal resolution of 1km. It provides the boundary conditions to the inner domain, which covers the area around Ciutadella with a spatial resolution of 10m. Further details of the system configuration can be found in Renault et al. (2011). | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
| Technical notes | DISCLAIMER: The experimental products presented in this section are provided "as is" without warranty of any kind, including any implied warranties of merchantability or fitness for a particular purpose. Ongoing research is carried out to improve the system. Particular events caused by very local convection cells are known to be very challenging to reproduce. This forecasting system aims at complementing the actual AEMET Rissaga alert system by providing quantitative predictions of sea level oscillations in Ciutadella harbour. Timely delivery of daily predictions is not guaranteed. | ||||
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| Spatial Coverage | Ciutadella harbour, Menorca | ||||
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Languages: Catalan, English, Spanish Countries: Spain Host Countries: Spain Sea Region: Alboran Sea, Balearic Sea, Mediterranean Sea, Western Basin Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: air pressure disturbances, atmospheric and oceanic modelling, coastal impact, forecast model output, forecasting system, meteo-tsunamis, oceanography, oceans, operational service, rissaga, sea level
Last updated: 11/10/2022
Bathymetry - Deep Reef Explorer (ODIS id: 3019)
https://www.deepreef.org/bathymetry/
Bathymetry of Northern Australia, Kerguelen Plateau, Terre Adelie & George V margin and Great Barrie ...
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Bathymetry - Deep Reef Explorer
Bathymetry of Northern Australia, Kerguelen Plateau, Terre Adelie & George V margin and Great Barrier Reef and Coral Sea Bathymetry.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.deepreef.org/bathymetry/ | ||||
| Parent Project URL | https://www.deepreef.org | ||||
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| English name | Bathymetry - Deep Reef Explorer | ||||
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| Abstract | Bathymetry of Northern Australia, Kerguelen Plateau, Terre Adelie & George V margin and Great Barrier Reef and Coral Sea Bathymetry. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | James Cook University | ||||
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Languages: English Countries: Australia Host Countries: Australia Sea Region: Coral Sea, Indian Ocean, Southern Ocean, Timor Sea Themes: DS03 Physical oceanography, DS04 Marine geology Keywords: bathymetry, seafloor features, seafloor geomorphic features, seafloor mapping, seafloor topography
Last updated: 21/12/2021
Bathymetry and Coastlines for the Gulf of Mexico - Gulf of Mexico Coastal OceanObserving System (ODIS id: 2626)
https://geo.gcoos.org/data/topography/Introduction.html
The site includes currently available bathymetric data in the Gulf of Mexico.
Bathymetry and Coastlines for the Gulf of Mexico - Gulf of Mexico Coastal OceanObserving System
The site includes currently available bathymetric data in the Gulf of Mexico.
Bathymetry and Coastlines for the Gulf of Mexico - Gulf of Mexico Coastal OceanObserving System (ODIS id 2626)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://geo.gcoos.org/data/topography/Introduction.html | ||||
| Parent Project URL | https://gcoos.org/ | ||||
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| English name | Bathymetry and Coastlines for the Gulf of Mexico - Gulf of Mexico Coastal OceanObserving System | ||||
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| Acronym | Bathymetry and Coastlines for the Gulf of Mexico - GCOOS | ||||
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| Abstract | The site includes currently available bathymetric data in the Gulf of Mexico. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Texas A&M University, College Station – Department of Oceanography | ||||
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Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Gulf of Mexico Themes: DS03 Physical oceanography, DS04 Marine geology Keywords: Coastal zone, bathymetry, data collection, maps collection, seafloor topography
Last updated: 14/10/2021
Bathymetry and Global Relief - National Centers for Environmental Information at National Oceanic and Atmospheric Administration (ODIS id: 2995)
https://www.ngdc.noaa.gov/mgg/bathymetry/relief.html
World Data Service for Geophysics. Search bathymetric data by map.
Bathymetry and Global Relief - National Centers for Environmental Information at National Oceanic and Atmospheric Administration
World Data Service for Geophysics. Search bathymetric data by map.
Bathymetry and Global Relief - National Centers for Environmental Information at National Oceanic and Atmospheric Administration (ODIS id 2995)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.ngdc.noaa.gov/mgg/bathymetry/relief.html | ||||
| Parent Project URL | https://www.ngdc.noaa.gov/ | ||||
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| English name | Bathymetry and Global Relief - National Centers for Environmental Information at National Oceanic and Atmospheric Administration | ||||
| Original (non-English) name | |||||
| Acronym | Bathymetry and Global Relief - NOAA-NCEI | ||||
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| Abstract | World Data Service for Geophysics. Search bathymetric data by map. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - National Environmental Satellite, Data, and Information Service - National Centers for Environmental Information (Veach-Baley Federal Complex in Asheville, North Carolina) | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: World Themes: DS04 Marine geology Keywords: bathymetry, data visualization, seabed mapping, topography
Last updated: 12/12/2021
Bering Sea Project Data Archive (ODIS id: 26)
https://data.eol.ucar.edu/project/BeringSea
The Bering Sea Project is a partnership between the North Pacific Research Board and the National Sc ...
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Bering Sea Project Data Archive
The Bering Sea Project is a partnership between the North Pacific Research Board and the National Science Foundation that seeks to understand the impacts of climate change and dynamic sea ice cover on the eastern Bering Sea ecosystem.
More than one hundred scientists are engaged in field research and ecosystem modeling to link climate, physical oceanography, plankton, fishes, seabirds, marine mammals, humans, traditional knowledge and economic outcomes to better understand the mechanisms that sustain this highly productive region. We invite you to explore the program website to learn more about the Bering Sea Project's hypotheses, focal areas of study, integrated goals, participants, and ecological and social context.
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| Submitter/Owner | Don STOTT ( OceanExpert : 27426 ) | ||||
| Submitter/Owner Role | Other | ||||
| Datasource URL | https://data.eol.ucar.edu/project/BeringSea | ||||
| Parent Project URL | https://www.eol.ucar.edu/ | ||||
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| English name | Bering Sea Project Data Archive | ||||
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| Abstract | The Bering Sea Project is a partnership between the North Pacific Research Board and the National Science Foundation that seeks to understand the impacts of climate change and dynamic sea ice cover on the eastern Bering Sea ecosystem. More than one hundred scientists are engaged in field research and ecosystem modeling to link climate, physical oceanography, plankton, fishes, seabirds, marine mammals, humans, traditional knowledge and economic outcomes to better understand the mechanisms that sustain this highly productive region. We invite you to explore the program website to learn more about the Bering Sea Project's hypotheses, focal areas of study, integrated goals, participants, and ecological and social context. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | University Corporation for Atmospheric Research, National Center for Atmospheric Research | ||||
| Technical notes | To the extent that any materials published in a UCAR data repository are protected by copyright, you are hereby granted a license to use such material, unless otherwise stated, subject to the terms and conditions of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/legalcode). To the extent that any materials published in a UCAR data repository are not protected by copyright, you are hereby granted permission to use such materials for any lawful purpose. When using any materials obtained from a UCAR data repository, you agree to use the recommended data citation format provided by that UCAR data repository. If you have questions concerning this recommendation please contact the user online help service at the UCAR data repository. | ||||
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| Spatial Coverage | 53.00, -180.00, 63.00, -163.00 | ||||
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Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Bering Sea Themes: DS01 Biological oceanography, DS03 Physical oceanography, DS10 Environment, DS12 Human activities Keywords: Climate change, Ecosystems, Fish, biology, ecology, human activities
Last updated: 25/09/2021
Biological and Chemical Oceanography Data Management Office (ODIS id: 3287)
https://www.bco-dmo.org
The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a publicly accessible e ...
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Biological and Chemical Oceanography Data Management Office
The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a publicly accessible earth science data repository created to curate, publicly serve (publish), and archive digital data and information from biological, chemical and biogeochemical research conducted in coastal, marine, great lakes and laboratory environments. The BCO-DMO repository works closely with investigators funded through the NSF OCE Division’s Biological and Chemical Sections and the Division of Polar Programs Antarctic Organisms & Ecosystems. The office provides services that span the full data life cycle, from data management planning support and DOI creation, to archive with appropriate national facilities.
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| Submitter/Owner | Mr. Adam Shepherd ( OceanExpert : 24115 ) | ||||
| Submitter/Owner Role | IODE ADU | ||||
| Datasource URL | https://www.bco-dmo.org | ||||
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| ODIS-Arch URL | https://www.bco-dmo.org/sitemap.xml | ||||
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| English name | Biological and Chemical Oceanography Data Management Office | ||||
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| Acronym | BCO-DMO | ||||
| Citation | Re3data.Org. (2012). Biological and Chemical Oceanography Data Management Office (BCO-DMO). re3data.org - Registry of Research Data Repositories. https://doi.org/10.17616/R37P4C | ||||
| Abstract | The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a publicly accessible earth science data repository created to curate, publicly serve (publish), and archive digital data and information from biological, chemical and biogeochemical research conducted in coastal, marine, great lakes and laboratory environments. The BCO-DMO repository works closely with investigators funded through the NSF OCE Division’s Biological and Chemical Sections and the Division of Polar Programs Antarctic Organisms & Ecosystems. The office provides services that span the full data life cycle, from data management planning support and DOI creation, to archive with appropriate national facilities. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Woods Hole Oceanographic Institution | ||||
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Languages: English Countries: GLOBAL Host Countries: United States Sea Region: World Themes: DS01 Biological oceanography, DS02 Chemical oceanography Keywords:
Last updated: 17/11/2023
Block Island Sound Map Viewer-Long Island Sound Coastal Observatory - Northeastern Regional Association of Coastal Ocean Observing Systems (ODIS id: 2681)
http://lisicos.uconn.edu/map_viewer.php?site=bis_ge
CODAR is a unique coastal High Frequency (HF) radar system (www.codaros.com) that maps surface curre ...
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Block Island Sound Map Viewer-Long Island Sound Coastal Observatory - Northeastern Regional Association of Coastal Ocean Observing Systems
CODAR is a unique coastal High Frequency (HF) radar system (www.codaros.com) that maps surface currents in real time. The system's extremely convenient compact size, operational versatility, and low cost are the result of a 25 year evolution by the U.S. team that invented HF radar for ocean current mapping. In its long-range mode, CODAR can map surface currents out to 50-70 km, depending on a number of environmental factors. CODAR's area resolution for the long-range mode is 2-3 km, and 1-2 km for the short-range mode which can map surface currents out to 25-45 km.
Block Island Sound Map Viewer-Long Island Sound Coastal Observatory - Northeastern Regional Association of Coastal Ocean Observing Systems (ODIS id 2681)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://lisicos.uconn.edu/map_viewer.php?site=bis_ge | ||||
| Parent Project URL | http://neracoos.org/ | ||||
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| English name | Block Island Sound Map Viewer-Long Island Sound Coastal Observatory - Northeastern Regional Association of Coastal Ocean Observing Systems | ||||
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| Acronym | Block Island Sound Map Viewer-Long Island Sound Coastal Observatory - NERACOOS | ||||
| Citation | |||||
| Abstract | CODAR is a unique coastal High Frequency (HF) radar system (www.codaros.com) that maps surface currents in real time. The system's extremely convenient compact size, operational versatility, and low cost are the result of a 25 year evolution by the U.S. team that invented HF radar for ocean current mapping. In its long-range mode, CODAR can map surface currents out to 50-70 km, depending on a number of environmental factors. CODAR's area resolution for the long-range mode is 2-3 km, and 1-2 km for the short-range mode which can map surface currents out to 25-45 km. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Northeastern Regional Association of Coastal Ocean Observing Systems | ||||
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Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Atlantic Ocean Themes: DS03 Physical oceanography Keywords: HF radar, data products, observation data, observational oceanography
Last updated: 23/10/2021
British Oceanographic Data Centre Numerical model data portal (ODIS id: 30)
https://www.bodc.ac.uk/data/numerical_model_data/
The numerical model data portal provides access to all numerical model datasets held by the British ...
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British Oceanographic Data Centre Numerical model data portal
The numerical model data portal provides access to all numerical model datasets held by the British Oceanographic Data Centre (BODC) originating from a variety of projects. All model data are stored as CF compliant netCDF format files. An interactive search function allows users to interrogate the data holdings and refine by geographic coverage, date range, model name, simulation and other parameters. The data within the selected files can be visualised before the final selection.
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| Submitter/Owner | Mr Mark Hebden ( OceanExpert : 50704 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | https://www.bodc.ac.uk/data/numerical_model_data/ | ||||
| Parent Project URL | https://www.bodc.ac.uk/ | ||||
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| English name | British Oceanographic Data Centre Numerical model data portal | ||||
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| Abstract | The numerical model data portal provides access to all numerical model datasets held by the British Oceanographic Data Centre (BODC) originating from a variety of projects. All model data are stored as CF compliant netCDF format files. An interactive search function allows users to interrogate the data holdings and refine by geographic coverage, date range, model name, simulation and other parameters. The data within the selected files can be visualised before the final selection. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | British Oceanographic Data Centre | ||||
| Technical notes | 35082 | ||||
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Languages: English Countries: United Kingdom Host Countries: United Kingdom Sea Region: Atlantic Ocean, Bay of Biscay, Bristol Channel, Celtic Sea, English Channel, Iceland Sea, Irish Sea, Kattegat, North Sea, Skagerrak Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Numerical model prediction, ocean currents, oceanographic data, oceans, sea water salinity, sea water temperature, waves
Last updated: 02/05/2024
British Oceanographic Data Centre Published Data Library (PDL) catalogue (ODIS id: 32)
https://www.bodc.ac.uk/data/published_data_library/
The British Oceanographic Data Centre’s Published Data Library catalogue provides access to datase ...
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British Oceanographic Data Centre Published Data Library (PDL) catalogue
The British Oceanographic Data Centre’s Published Data Library catalogue provides access to datasets that have been assigned a Digital Object Identifier (DOI) in collaboration with the British Library. The catalogue hosts snapshots of specially chosen datasets that are archived using rigorous version management. One application of this is to enable a dataset to be cited in journal papers.
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| Submitter/Owner | Mr Mark Hebden ( OceanExpert : 50704 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | https://www.bodc.ac.uk/data/published_data_library/ | ||||
| Parent Project URL | https://www.bodc.ac.uk/ | ||||
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| English name | British Oceanographic Data Centre Published Data Library (PDL) catalogue | ||||
| Original (non-English) name | |||||
| Acronym | BODC-PDL | ||||
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| Abstract | The British Oceanographic Data Centre’s Published Data Library catalogue provides access to datasets that have been assigned a Digital Object Identifier (DOI) in collaboration with the British Library. The catalogue hosts snapshots of specially chosen datasets that are archived using rigorous version management. One application of this is to enable a dataset to be cited in journal papers. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | British Oceanographic Data Centre | ||||
| Technical notes | 35082 | ||||
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Languages: English Countries: United Kingdom, GLOBAL Host Countries: United Kingdom Sea Region: World Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS06 Cross-discipline Keywords: CTD, Coastal zone, DOI, Digital repository, Glider, HPLC pigment, Numerical model prediction, Ocean acidification, Phytoplankton, atmosphere, cold-water coral, data and information, data archive, directory, microbial community, nitrogen fixation, nutrients, ocean circulation, primary production, sea level, sea water salinity, sea water temperature, waves
Last updated: 02/05/2024
Browse Tool - NASA Multi-angle Imaging SpectroRadiometer (ODIS id: 2890)
https://l0dup05.larc.nasa.gov/MISR_BROWSE/
The Multi-angle Imaging SpectroRadiometer (MISR) was successfully launched into sun-synchronous pola ...
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Browse Tool - NASA Multi-angle Imaging SpectroRadiometer
The Multi-angle Imaging SpectroRadiometer (MISR) was successfully launched into sun-synchronous polar orbit aboard Terra, NASA's first Earth Observing System (EOS) spacecraft, on December 18, 1999. MISR measurements are designed to improve our understanding of the Earth's environment and climate. Viewing the sunlit Earth simultaneously at nine widely-spaced angles, MISR provides radiometrically and geometrically calibrated images in four spectral bands at each of the angles. Spatial sampling of 275 and 1100 meters is provided on a global basis. The MISR FAQ and Observation Concept have more details about the MISR instrument. All MISR data products are available in HDF-EOS format, and select products are available in netCDF format.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://l0dup05.larc.nasa.gov/MISR_BROWSE/ | ||||
| Parent Project URL | https://www.jpl.nasa.gov/ | ||||
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| English name | Browse Tool - NASA Multi-angle Imaging SpectroRadiometer | ||||
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| Acronym | Browse Tool - NASA-MISR | ||||
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| Abstract | The Multi-angle Imaging SpectroRadiometer (MISR) was successfully launched into sun-synchronous polar orbit aboard Terra, NASA's first Earth Observing System (EOS) spacecraft, on December 18, 1999. MISR measurements are designed to improve our understanding of the Earth's environment and climate. Viewing the sunlit Earth simultaneously at nine widely-spaced angles, MISR provides radiometrically and geometrically calibrated images in four spectral bands at each of the angles. Spatial sampling of 275 and 1100 meters is provided on a global basis. The MISR FAQ and Observation Concept have more details about the MISR instrument. All MISR data products are available in HDF-EOS format, and select products are available in netCDF format. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: World Themes: DS05 Atmosphere, DS10 Environment Keywords: Earth Science data, Earth observation, climate monitoring, earth science, environmental information, satellite imagery
Last updated: 14/02/2022
California HAB Bulletin - Southern California Coastal Ocean Observing System (ODIS id: 2548)
https://sccoos.org/california-hab-bulletin/
The purpose of this experimental product is to give the public and resource managers a quick outlook ...
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California HAB Bulletin - Southern California Coastal Ocean Observing System
The purpose of this experimental product is to give the public and resource managers a quick outlook of recent toxic (marine) algal blooms in coastal California from models and aggregate data sets. Monthly to bi-monthly reports will synthesize model output, near real-time observations, and public health alerts to provide a more complete picture of the regional variability in harmful algal blooms.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://sccoos.org/california-hab-bulletin/ | ||||
| Parent Project URL | https://sccoos.org/ | ||||
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| English name | California HAB Bulletin - Southern California Coastal Ocean Observing System | ||||
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| Acronym | California HAB Bulletin - SCCOOS | ||||
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| Abstract | The purpose of this experimental product is to give the public and resource managers a quick outlook of recent toxic (marine) algal blooms in coastal California from models and aggregate data sets. Monthly to bi-monthly reports will synthesize model output, near real-time observations, and public health alerts to provide a more complete picture of the regional variability in harmful algal blooms. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Pacific Ocean Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Algal bloom, Coastal Ocean Observing System, ocean modelling, ocean observation, real-time data
Last updated: 09/10/2021
Calypso - HF Radar Monitoring System and Response against Marine Oil Spills in the Malta Channel (ODIS id: 437)
http://www.capemalta.net/calypso/data
The CALYPSO HF radar network consists of multiple CODAR Seasonde radar stations on the Maltese Islan ...
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Calypso - HF Radar Monitoring System and Response against Marine Oil Spills in the Malta Channel
The CALYPSO HF radar network consists of multiple CODAR Seasonde radar stations on the Maltese Islands and the southern coast of Sicily, providing synoptic maps of sea surface currents in real-time every hour and with a high resolution and coverage in space.
CALYPSO is a 2-year project partly financed by the EU under the Operational Programme Italia-Malta 2007-2013 and co-ordinated by Prof. Aldo Drago from the Physical Oceanography Unit of the University of Malta. It brings together 3 other partners from Malta – namely Transport Malta, Civil Protection Department, and Armed Forces of Malta – and 4 partners from Sicily – ARPA Sicilia, IAMC-CNR Capo Granitola, Università degli Studi di Palermo (UNIPA), and Università di Catania (CUTGANA). The consortium consists of research entities and also public entities with responsibilities for civil and environmental protection, surveillance, security, and response to hazards.
The main project deliverable is the setting up of a permanent and fully operational HF radar observing system, capable of recording (in real-time with hourly updates) surface currents in the Malta Channel. The system consists of HF radar installations on northern Malta and southern Sicilian shores at selected sites and combines stations to elaborate and publish data to users.
Collected data, combined to numerical models, are intended to primarily support applications to optimize intervention in case of oil spill response as well as endow tools for search and rescue, security, safer navigation, improved metro-marine forecasts, monitoring of sea conditions in critical areas such as proximity to ports, and better management of the marine space between Malta and Sicily.
Calypso - HF Radar Monitoring System and Response against Marine Oil Spills in the Malta Channel (ODIS id 437)
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| Submitter/Owner | Prof. Aldo Francis Drago ( OceanExpert : 12442 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | http://www.capemalta.net/calypso/data | ||||
| Parent Project URL | https://www.um.edu.mt/ | ||||
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| English name | Calypso - HF Radar Monitoring System and Response against Marine Oil Spills in the Malta Channel | ||||
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| Citation | The data are derived by the HF radar system developed within the CALYPSO project partly financed by the EU under the Operational Programme Italia-Malta 2007-2013, and co-ordinated by Prof. Aldo Drago from the Physical Oceanography Unit of the IOI-Malta Operational Centre of the University of Malta. | ||||
| Abstract | The CALYPSO HF radar network consists of multiple CODAR Seasonde radar stations on the Maltese Islands and the southern coast of Sicily, providing synoptic maps of sea surface currents in real-time every hour and with a high resolution and coverage in space. CALYPSO is a 2-year project partly financed by the EU under the Operational Programme Italia-Malta 2007-2013 and co-ordinated by Prof. Aldo Drago from the Physical Oceanography Unit of the University of Malta. It brings together 3 other partners from Malta – namely Transport Malta, Civil Protection Department, and Armed Forces of Malta – and 4 partners from Sicily – ARPA Sicilia, IAMC-CNR Capo Granitola, Università degli Studi di Palermo (UNIPA), and Università di Catania (CUTGANA). The consortium consists of research entities and also public entities with responsibilities for civil and environmental protection, surveillance, security, and response to hazards. The main project deliverable is the setting up of a permanent and fully operational HF radar observing system, capable of recording (in real-time with hourly updates) surface currents in the Malta Channel. The system consists of HF radar installations on northern Malta and southern Sicilian shores at selected sites and combines stations to elaborate and publish data to users. Collected data, combined to numerical models, are intended to primarily support applications to optimize intervention in case of oil spill response as well as endow tools for search and rescue, security, safer navigation, improved metro-marine forecasts, monitoring of sea conditions in critical areas such as proximity to ports, and better management of the marine space between Malta and Sicily. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | University of Malta | ||||
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Languages: English Countries: Italy, Malta, REGIONAL Host Countries: Malta Sea Region: Mediterranean Sea Themes: DS03 Physical oceanography Keywords: HF radar, data portal, oceanographic data, oil spill mitigation, open access, operational oceanography, pollution, sea surface currents
Last updated: 02/10/2021
CARbon dioxide IN the Atlantic Ocean (ODIS id: 332)
https://www.nodc.noaa.gov/ocads/oceans/CARINA/
The CARINA (CARbon dioxide IN the Atlantic Ocean) data synthesis project is an international collabo ...
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CARbon dioxide IN the Atlantic Ocean
The CARINA (CARbon dioxide IN the Atlantic Ocean) data synthesis project is an international collaborative effort of the EU IP CARBOOCEAN, and US partners. It has produced a merged internally consistent data set of open ocean subsurface measurements for biogeochemical investigations, in particular, studies involving the carbon system. The original focus area was the North Atlantic Ocean, but over time the geographic extent expanded and CARINA now includes data from the entire Atlantic, the Arctic Ocean, and the Southern Ocean. Carbon data from the Pacific Ocean are being synthesized in the PICES effort.
The CARINA database includes data from 188 cruises. The salinity, oxygen, nutrient, inorganic carbon system, and CFC data have been subjected to extensive quality control and adjustments have been made when necessary. The internally consistent data are available as three data products, one each for the Arctic Mediterranean Seas, the Atlantic, and the Southern Oceans (CARINA Data Products). In addition, all of the individual cruise data files have been made available in the WOCE exchange format in a single location (Cruise Summary Table) along with metadata and references. We strongly recommend users to employ the data products instead of the individual cruise files as the data in the latter have not been corrected for biases identified during the secondary QC. The CARINA effort is further described in the following as well as in the CARINA special issue of Earth System Science Data (ESSD) Journal.
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| Submitter/Owner | Dr. Hernan Eduardo Garcia ( OceanExpert : 707 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | https://www.nodc.noaa.gov/ocads/oceans/CARINA/ | ||||
| Parent Project URL | https://www.noaa.gov/ | ||||
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| English name | CARbon dioxide IN the Atlantic Ocean | ||||
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| Acronym | CARINA | ||||
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| Abstract | The CARINA (CARbon dioxide IN the Atlantic Ocean) data synthesis project is an international collaborative effort of the EU IP CARBOOCEAN, and US partners. It has produced a merged internally consistent data set of open ocean subsurface measurements for biogeochemical investigations, in particular, studies involving the carbon system. The original focus area was the North Atlantic Ocean, but over time the geographic extent expanded and CARINA now includes data from the entire Atlantic, the Arctic Ocean, and the Southern Ocean. Carbon data from the Pacific Ocean are being synthesized in the PICES effort. The CARINA database includes data from 188 cruises. The salinity, oxygen, nutrient, inorganic carbon system, and CFC data have been subjected to extensive quality control and adjustments have been made when necessary. The internally consistent data are available as three data products, one each for the Arctic Mediterranean Seas, the Atlantic, and the Southern Oceans (CARINA Data Products). In addition, all of the individual cruise data files have been made available in the WOCE exchange format in a single location (Cruise Summary Table) along with metadata and references. We strongly recommend users to employ the data products instead of the individual cruise files as the data in the latter have not been corrected for biases identified during the secondary QC. The CARINA effort is further described in the following as well as in the CARINA special issue of Earth System Science Data (ESSD) Journal. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - National Environmental Satellite, Data, and Information Service - National Centers for Environmental Information (Veach-Baley Federal Complex in Asheville, North Carolina) | ||||
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| Spatial Coverage | Atlantic, Arctic, Pacific and Southern Oceans | ||||
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Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Arctic Ocean, Atlantic Ocean, Pacific Ocean Themes: DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Chloroflourocarbons, carbon dioxide, dissolved inorganic carbon, nutrients, oxygen, sea water pressure, sea water salinity, sea water temperature
Last updated: 30/09/2021
Caribbean Marine Atlas (ODIS id: 616)
https://www.caribbeanmarineatlas.net/home/
The Caribbean Marine Atlas is a digital technological platform online which function as a repository ...
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Caribbean Marine Atlas
The Caribbean Marine Atlas is a digital technological platform online which function as a repository of geospatial and documental information to support decision making in Integrated Coastal Zone Management ICZM as well as for monitoring and evaluation of Caribbean Large Marine Ecosystem CLME.
Who will benefit from CMA2: The Atlas, its tools and contents are addressed to professionals in charge of planning, ministries and national and regional authorities, decision-makers, policymakers and potential partners related to ICZM of country pilots in this phase, to the country partners of CLME+ project and the rest of countries, institutions or stakeholders interested from the Caribbean.
CMA2 project looks to create, charge and maintain a sustainable operationalization of an online digital “Caribbean Marine Atlas” technology platform in support of Integrated Coastal Zone Management - ICZM (with special attention to: coastal hazards, climate change, biodiversity and habitats, fisheries, land-based sources of pollution) and Ecosystem-based Management for CLME. The platform is being piloted in selected countries for regional and national-level consultation and decision-making. Training, awareness building and dissemination activities are conducted. The CMA2 project builds upon the experience and lessons learnt in the CMA1 and SPINCAM Projects.
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.caribbeanmarineatlas.net/home/ | ||||
| Parent Project URL | https://www.caribbeanmarineatlas.net | ||||
| ODIS-Arch URL | https://raw.githubusercontent.com/iodepo/odis-arch/master/collection/tempHosting/data-caribbeanmarineatlas/sitemap.xml | ||||
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| English name | Caribbean Marine Atlas | ||||
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| Acronym | CMA | ||||
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| Abstract | The Caribbean Marine Atlas is a digital technological platform online which function as a repository of geospatial and documental information to support decision making in Integrated Coastal Zone Management ICZM as well as for monitoring and evaluation of Caribbean Large Marine Ecosystem CLME. Who will benefit from CMA2: The Atlas, its tools and contents are addressed to professionals in charge of planning, ministries and national and regional authorities, decision-makers, policymakers and potential partners related to ICZM of country pilots in this phase, to the country partners of CLME+ project and the rest of countries, institutions or stakeholders interested from the Caribbean. CMA2 project looks to create, charge and maintain a sustainable operationalization of an online digital “Caribbean Marine Atlas” technology platform in support of Integrated Coastal Zone Management - ICZM (with special attention to: coastal hazards, climate change, biodiversity and habitats, fisheries, land-based sources of pollution) and Ecosystem-based Management for CLME. The platform is being piloted in selected countries for regional and national-level consultation and decision-making. Training, awareness building and dissemination activities are conducted. The CMA2 project builds upon the experience and lessons learnt in the CMA1 and SPINCAM Projects. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: Barbados, Belize, Colombia, Costa Rica, Dominica, Dominican Republic, Guatemala, Jamaica, Mexico, Panama, REGIONAL, Trinidad & Tobago, Venezuela Host Countries: Colombia Sea Region: Caribbean Sea Themes: DS01 Biological oceanography, DS04 Marine geology, DS06 Cross-discipline, DS08 Terrestrial, DS10 Environment, DS11 Fisheries and aquaculture, DS12 Human activities Keywords: Agriculture, Ecosystems, Geospatial data, aquaculture, coastal habitats, erosion, geographic information, geology, geomorphology, geonode
Last updated: 30/10/2024
Caribbean marine Atlas (ODIS id: 919)
https://www.caribbeanmarineatlas.net/
The Caribbean Marine Atlas (CMA) is an online digital platform that stores and provides access to ge ...
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Caribbean marine Atlas
The Caribbean Marine Atlas (CMA) is an online digital platform that stores and provides access to geospatial information (and related documents) on the "Marine Environment and Human Societies in the Wider Caribbean Region". Its two primary objectives are:
(1) to support regional-level Integrated Ocean Governance,
(2) to support Integrated Coastal Zone Management (ICZM) in the IOCARIBE Member States.
Its contents are directed towards organizations and professionals with responsibilities for conducting analyses, providing advice and/or making decisions on the governance and management of the marine environment at the regional, sub-regional and national levels.
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| Submitter/Owner | Mr. Leonardo Jose ARIAS ALEMÁN ( OceanExpert : 12914 ) | ||||
| Submitter/Owner Role | IODE ADU | ||||
| Datasource URL | https://www.caribbeanmarineatlas.net/ | ||||
| Parent Project URL | https://www.caribbeanmarineatlas.net/ | ||||
| ODIS-Arch URL | https:// | ||||
| ODIS-Arch Type | |||||
| English name | Caribbean marine Atlas | ||||
| Original (non-English) name | |||||
| Acronym | CMA | ||||
| Citation | |||||
| Abstract | The Caribbean Marine Atlas (CMA) is an online digital platform that stores and provides access to geospatial information (and related documents) on the "Marine Environment and Human Societies in the Wider Caribbean Region". Its two primary objectives are: (1) to support regional-level Integrated Ocean Governance, (2) to support Integrated Coastal Zone Management (ICZM) in the IOCARIBE Member States. Its contents are directed towards organizations and professionals with responsibilities for conducting analyses, providing advice and/or making decisions on the governance and management of the marine environment at the regional, sub-regional and national levels. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Instituto de Investigaciones Marinas y Costeras | ||||
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Languages: Spanish Countries: Colombia Host Countries: Colombia Sea Region: Caribbean Sea Themes: DS06 Cross-discipline Keywords: ArcGis, Geospatial data, Integrated Ocean Governance, Integrated coastal zone management, Marine Species, WebGIS, aquaculture, benthos, conservation, coral, coral reefs, data discovey, ecology, fisheries, habitats classification, marine protected areas, natural hazards, sustainable fisheries
Last updated: 23/11/2023
Carolina Buoy Data - Southeast Coastal Ocean Observing Regional Association (ODIS id: 2637)
https://cormp.org/
The University of North Carolina Wilmington's Coastal Ocean Research and Monitoring Program (CORMP), ...
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Carolina Buoy Data - Southeast Coastal Ocean Observing Regional Association
The University of North Carolina Wilmington's Coastal Ocean Research and Monitoring Program (CORMP), established in 2000, operates nine mooring stations in North Carolina and South Carolina. Data and information collected is used to:
- Increase maritime safety,
- Improve better forecasting of coastal hazards,
- Support ecosystem based management and living marine resources,
- Understand local coastal climate patterns through CORMP's long-term data set.
As a member of the Southeast Coastal Ocean Observing Regional Association (SECOORA), CORMP collaborates with SECOORA and their members to address NOAA's Integrated Ocean Observing System (IOOS ®) national priorities.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://cormp.org/ | ||||
| Parent Project URL | https://secoora.org/ | ||||
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| English name | Carolina Buoy Data - Southeast Coastal Ocean Observing Regional Association | ||||
| Original (non-English) name | |||||
| Acronym | Carolina Buoy Data - SECOORA | ||||
| Citation | |||||
| Abstract | The University of North Carolina Wilmington's Coastal Ocean Research and Monitoring Program (CORMP), established in 2000, operates nine mooring stations in North Carolina and South Carolina. Data and information collected is used to: - Increase maritime safety, - Improve better forecasting of coastal hazards, - Support ecosystem based management and living marine resources, - Understand local coastal climate patterns through CORMP's long-term data set. As a member of the Southeast Coastal Ocean Observing Regional Association (SECOORA), CORMP collaborates with SECOORA and their members to address NOAA's Integrated Ocean Observing System (IOOS ®) national priorities. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | University of North Carolina Wilmington | ||||
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Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Atlantic Ocean Themes: DS05 Atmosphere Keywords: buoys, monitoring system, weather data
Last updated: 18/10/2021
CARTON-GIESE Simple Ocean Data Assimilation (ODIS id: 3241)
http://iridl.ldeo.columbia.edu/SOURCES/.CARTON-GIESE/.SODA/
Simple Ocean Data Assimilation (SODA) reanalysis of ocean climate variability.
CARTON-GIESE Simple Ocean Data Assimilation
Simple Ocean Data Assimilation (SODA) reanalysis of ocean climate variability.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://iridl.ldeo.columbia.edu/SOURCES/.CARTON-GIESE/.SODA/ | ||||
| Parent Project URL | http://iridl.ldeo.columbia.edu/ | ||||
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| English name | CARTON-GIESE Simple Ocean Data Assimilation | ||||
| Original (non-English) name | |||||
| Acronym | SODA | ||||
| Citation | |||||
| Abstract | Simple Ocean Data Assimilation (SODA) reanalysis of ocean climate variability. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: GLOBAL Host Countries: Canada Sea Region: World Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: atmospheric and oceanic research, air-sea interaction, ocean modelling, reanalysis
Last updated: 29/11/2021
CDDIS Archive Explorer (ODIS id: 2094)
https://cddis.nasa.gov/Data_and_Derived_Products/ArchiveExplorer.html
The CDDIS Archive Explorer application allows users to query the data holdings of the CDDIS to learn ...
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CDDIS Archive Explorer
The CDDIS Archive Explorer application allows users to query the data holdings of the CDDIS to learn more about what data are available for download. Note: Queries for VLBI data holdings will be available for browsing soon.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://cddis.nasa.gov/Data_and_Derived_Products/ArchiveExplorer.html | ||||
| Parent Project URL | https://www.nasa.gov/ | ||||
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| English name | CDDIS Archive Explorer | ||||
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| Citation | CDDIS is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs), part of the NASA Earth Science Data and Information System (ESDIS) project. Datasets and related data products and services are provided by CDDIS, managed by the NASA ESDIS project. The CDDIS can be cited as follows: C. Noll, The Crustal Dynamics Data Information System: A resource to support scientific analysis using space geodesy, Advances in Space Research,Volume 45, Issue 12, 15 June 2010, Pages 1421-1440, ISSN 0273-1177, DOI: 10.1016/j.asr.2010.01.018. | ||||
| Abstract | The CDDIS Archive Explorer application allows users to query the data holdings of the CDDIS to learn more about what data are available for download. Note: Queries for VLBI data holdings will be available for browsing soon. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: World Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: DORIS, GGOS, GNSS, VLBI, laser ranging, space geodesy
Last updated: 31/01/2021
Center for Maritime Meteorology - Ocean Forecast System - Indonesian Agency for Meteorological, Climatological and Geophysics (ODIS id: 660)
https://peta-maritim.bmkg.go.id/framestatic/
Information about wind speed, wave height and swell.
Center for Maritime Meteorology - Ocean Forecast System - Indonesian Agency for Meteorological, Climatological and Geophysics
Information about wind speed, wave height and swell.
Center for Maritime Meteorology - Ocean Forecast System - Indonesian Agency for Meteorological, Climatological and Geophysics (ODIS id 660)
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| Submitter/Owner | Mr. Peter J. Pissierssens ( OceanExpert : 6552 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://peta-maritim.bmkg.go.id/framestatic/ | ||||
| Parent Project URL | https://www.bmkg.go.id/?lang=EN | ||||
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| English name | Center for Maritime Meteorology - Ocean Forecast System - Indonesian Agency for Meteorological, Climatological and Geophysics | ||||
| Original (non-English) name | Pusat Meteorologi Maritim - Ocean Forecast System - Badan Meteorologi, Klimatologi, dan Geofisika | ||||
| Acronym | Center for Maritime Meteorology - OFS - BMKG | ||||
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| Abstract | Information about wind speed, wave height and swell. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | BADAN METEOROLOGI, KLIMATOLOGI, DAN GEOFISIKA | ||||
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Languages: English, Indonesian Countries: Indonesia Host Countries: Indonesia Sea Region: Banda Sea, Celebes Sea, Jawa Sea Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: Numerical model prediction, Satellite, operational service, waves, wind
Last updated: 06/10/2021
Centralized Data Management Office - NOAA National Estuarine Research Reserve System (ODIS id: 2709)
http://cdmo.baruch.sc.edu/
NOAA's National Estuarine Research Reserve System (NERRS) acknowledges the importance of both long-t ...
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Centralized Data Management Office - NOAA National Estuarine Research Reserve System
NOAA's National Estuarine Research Reserve System (NERRS) acknowledges the importance of both long-term environmental monitoring programs and data and information dissemination through the support of the NERRS System-wide Monitoring Program (SWMP). The goal of the SWMP is to "identify and track short-term variability and long-term changes in the integrity and biodiversity of representative estuarine ecosystems and coastal watersheds for the purpose of contributing to effective national, regional and site specific coastal zone management." This comprehensive program consists of three phased components:
- estuarine water quality monitoring,
- biodiversity monitoring,
- land-use and habitat change analysis.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://cdmo.baruch.sc.edu/ | ||||
| Parent Project URL | http://cdmo.baruch.sc.edu/ | ||||
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| English name | Centralized Data Management Office - NOAA National Estuarine Research Reserve System | ||||
| Original (non-English) name | |||||
| Acronym | CDMO - NERRS | ||||
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| Abstract | NOAA's National Estuarine Research Reserve System (NERRS) acknowledges the importance of both long-term environmental monitoring programs and data and information dissemination through the support of the NERRS System-wide Monitoring Program (SWMP). The goal of the SWMP is to "identify and track short-term variability and long-term changes in the integrity and biodiversity of representative estuarine ecosystems and coastal watersheds for the purpose of contributing to effective national, regional and site specific coastal zone management." This comprehensive program consists of three phased components: - estuarine water quality monitoring, - biodiversity monitoring, - land-use and habitat change analysis. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA, National Ocean Service | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Atlantic Ocean, Gulf of Alaska, Pacific Ocean Themes: DS08 Terrestrial, DS10 Environment Keywords: biodiversity change, data collection, environmental data, environmental monitoring, estuaries, human activities, water quality
Last updated: 26/10/2021
CEOS International Directory Network IDN (ODIS id: 2095)
https://idn.ceos.org/
The CEOS International Directory Network (IDN) is a Gateway to the world of Earth Science data. The ...
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CEOS International Directory Network IDN
The CEOS International Directory Network (IDN) is a Gateway to the world of Earth Science data. The CEOS IDN is an international effort developed to assist researchers in locating information on available datasets. The directory is sponsored as a service to the Earth science community.
CEOS was established in September, 1984 in response to a recommendation from a Panel of Experts on Remote Sensing from Space and set up under the aegis of the G7 Economic Summit of Industrial Nations Working Group on Growth, Technology, and Employment. This Panel recognized the multidisciplinary nature of space-based Earth observations and the value of coordinating international Earth observation efforts to benefit society.
Accordingly, the original function of CEOS was to coordinate and harmonize Earth observations to make it easier for the user community to access and use data. CEOS initially focused on interoperability, common data formats, the inter-calibration of instruments, and common validation and inter-comparison of products. However, over time, the circumstances surrounding the collection and use of space-based Earth observations have changed.
The number of Earth-observing satellites has vastly increased.
Onboard instruments are more complex and are capable of collecting new types of data in ever-growing volumes.
The user community has expanded and become more diverse as different data types become available and new applications for Earth observations are developed.
Users have become more organized, forming several international bodies that coordinate and levy Earth observation requirements.
In response to this changing environment, CEOS has evolved, becoming more complex and expanding the number and scope of its activities. In addition to its original charge, CEOS now focuses on validated requirements levied by external organizations, works closely with other satellite coordinating bodies (e.g. the Coordination Group for Meteorological Satellites, CGMS), and continues its role as the primary forum for international coordination of space-based Earth observations.
Over the past three decades, CEOS has significantly contributed to the advancement of space-based Earth observation community efforts. CEOS Agencies communicate, collaborate, and exchange information on Earth observation activities, spurring useful partnerships such as the Integrated Global Observing Strategy (IGOS). CEOS played an influential role in the establishment and ongoing development of the Group on Earth Observations (GEO) and the Global Earth Observation System of Systems (GEOSS). CEOS, through the major investments made by CEOS Agencies in developing the space segment of GEOSS, continues to provide space-based Earth observations in support of GEOSS implementation.
CEOS Agencies work together to launch multi-agency collaborative missions, and such cooperative efforts have highly benefited users all around the world. CEOS also provides an established means of communicating with external organizations, enabling CEOS to understand and act upon these organizations’ Earth observation needs and requirements.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://idn.ceos.org/ | ||||
| Parent Project URL | https://www.nasa.gov/ | ||||
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| English name | CEOS International Directory Network IDN | ||||
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| Abstract | The CEOS International Directory Network (IDN) is a Gateway to the world of Earth Science data. The CEOS IDN is an international effort developed to assist researchers in locating information on available datasets. The directory is sponsored as a service to the Earth science community. CEOS was established in September, 1984 in response to a recommendation from a Panel of Experts on Remote Sensing from Space and set up under the aegis of the G7 Economic Summit of Industrial Nations Working Group on Growth, Technology, and Employment. This Panel recognized the multidisciplinary nature of space-based Earth observations and the value of coordinating international Earth observation efforts to benefit society. Accordingly, the original function of CEOS was to coordinate and harmonize Earth observations to make it easier for the user community to access and use data. CEOS initially focused on interoperability, common data formats, the inter-calibration of instruments, and common validation and inter-comparison of products. However, over time, the circumstances surrounding the collection and use of space-based Earth observations have changed. The number of Earth-observing satellites has vastly increased. Onboard instruments are more complex and are capable of collecting new types of data in ever-growing volumes. The user community has expanded and become more diverse as different data types become available and new applications for Earth observations are developed. Users have become more organized, forming several international bodies that coordinate and levy Earth observation requirements. In response to this changing environment, CEOS has evolved, becoming more complex and expanding the number and scope of its activities. In addition to its original charge, CEOS now focuses on validated requirements levied by external organizations, works closely with other satellite coordinating bodies (e.g. the Coordination Group for Meteorological Satellites, CGMS), and continues its role as the primary forum for international coordination of space-based Earth observations. Over the past three decades, CEOS has significantly contributed to the advancement of space-based Earth observation community efforts. CEOS Agencies communicate, collaborate, and exchange information on Earth observation activities, spurring useful partnerships such as the Integrated Global Observing Strategy (IGOS). CEOS played an influential role in the establishment and ongoing development of the Group on Earth Observations (GEO) and the Global Earth Observation System of Systems (GEOSS). CEOS, through the major investments made by CEOS Agencies in developing the space segment of GEOSS, continues to provide space-based Earth observations in support of GEOSS implementation. CEOS Agencies work together to launch multi-agency collaborative missions, and such cooperative efforts have highly benefited users all around the world. CEOS also provides an established means of communicating with external organizations, enabling CEOS to understand and act upon these organizations’ Earth observation needs and requirements. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: World Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: Earth Science data, Satellite, data discovey, earth-science, information exchange, validation and inter-comparison
Last updated: 31/01/2021
Characterization of aquaculture sites in the Republic of Mauritius (ODIS id: 410)
http://moi.govmu.org/online_db/characterisation.html
In line with its Programme 2015-2019 and its Vision 2030, the Government has through its Budget Spee ...
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Characterization of aquaculture sites in the Republic of Mauritius
In line with its Programme 2015-2019 and its Vision 2030, the Government has through its Budget Speech 2016-2017, reiterated its strong intention of making the Ocean a pillar of its Economy. As referenced in paragraph 117 of the Budget Speech, the Government has tasked the Mauritius Oceanography Institute (MOI) with the responsibility of fully characterizing the aquaculture sites around mainland Mauritius. During the Financial year 2015-2016, MOI responded to a request from the Board of Investment to provide preliminary physical data at about 10 of prioritized sites. Amongst the parameters investigated were temperature, conductivity, dissolved oxygen, bathymetry and current profiles.
In order to fully characterize the aquaculture sites, however, further analyses will include pH, salinity, turbidity, fluorescence, chlorophyll a, sediment and nutrient analysis, as well as analysis of pollutants. The MOI is soon to survey two offshore earmarked aquaculture sites at Anse La Raie and Trou aux Biches, with the collaboration of the Hydrography Unit of the Ministry of Housing and Lands.
Data on bathymetry, temperature, salinity, conductivity, fluorometry, current pattern, and turbidity are available at the sites marked in green in the map below.
Requests for data should be addressed to the Director of the Mauritius Oceanography Institute.
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://moi.govmu.org/online_db/characterisation.html | ||||
| Parent Project URL | http://moi.govmu.org/ | ||||
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| English name | Characterization of aquaculture sites in the Republic of Mauritius | ||||
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| Abstract | In line with its Programme 2015-2019 and its Vision 2030, the Government has through its Budget Speech 2016-2017, reiterated its strong intention of making the Ocean a pillar of its Economy. As referenced in paragraph 117 of the Budget Speech, the Government has tasked the Mauritius Oceanography Institute (MOI) with the responsibility of fully characterizing the aquaculture sites around mainland Mauritius. During the Financial year 2015-2016, MOI responded to a request from the Board of Investment to provide preliminary physical data at about 10 of prioritized sites. Amongst the parameters investigated were temperature, conductivity, dissolved oxygen, bathymetry and current profiles. In order to fully characterize the aquaculture sites, however, further analyses will include pH, salinity, turbidity, fluorescence, chlorophyll a, sediment and nutrient analysis, as well as analysis of pollutants. The MOI is soon to survey two offshore earmarked aquaculture sites at Anse La Raie and Trou aux Biches, with the collaboration of the Hydrography Unit of the Ministry of Housing and Lands. Data on bathymetry, temperature, salinity, conductivity, fluorometry, current pattern, and turbidity are available at the sites marked in green in the map below. Requests for data should be addressed to the Director of the Mauritius Oceanography Institute. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Mauritius Oceanography Institute | ||||
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Languages: English Countries: Mauritius Host Countries: Mauritius Sea Region: Indian Ocean Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS11 Fisheries and aquaculture Keywords: aquaculture, bathymetry, coastal mapping, current pattern, human activities, marine chemistry, marine resources, nutrients, pollution, sediment
Last updated: 02/10/2021
Chart datum and ordnance datum - UK National Tidal and Sea Level Facility (ODIS id: 2055)
https://www.ntslf.org/tides/datum
Tidal levels on this site (and most published tide tables) are given as a height above chart datum ( ...
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Chart datum and ordnance datum - UK National Tidal and Sea Level Facility
Tidal levels on this site (and most published tide tables) are given as a height above chart datum (approximately the lowest level due to astronomical effects and excluding meteorological effects). The heights of chart datum (CD) relative to ordnance datum (OD, at Newlyn) in the UK are listed below. The values are usually negative indicating that chart datum is below ordnance datum.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.ntslf.org/tides/datum | ||||
| Parent Project URL | https://noc.ac.uk/ | ||||
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| English name | Chart datum and ordnance datum - UK National Tidal and Sea Level Facility | ||||
| Original (non-English) name | |||||
| Acronym | Chart datum and ordnance datum - UK NTSLF | ||||
| Citation | |||||
| Abstract | Tidal levels on this site (and most published tide tables) are given as a height above chart datum (approximately the lowest level due to astronomical effects and excluding meteorological effects). The heights of chart datum (CD) relative to ordnance datum (OD, at Newlyn) in the UK are listed below. The values are usually negative indicating that chart datum is below ordnance datum. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: United Kingdom Host Countries: United Kingdom Sea Region: Celtic Sea, English Channel, Irish Sea, North Sea Themes: DS03 Physical oceanography Keywords: coastal ocean waters, observational oceanography, observing system, tides, tides forecast
Last updated: 02/07/2021
Chart Locator - NOAA Office of Coast Survey (ODIS id: 2489)
https://www.charts.noaa.gov/InteractiveCatalog/nrnc.shtml
Vector files of chart features and available in S-57 format.
NOAA ENCs support marine navigation by ...
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Chart Locator - NOAA Office of Coast Survey
Vector files of chart features and available in S-57 format.
NOAA ENCs support marine navigation by providing the official Electronic Navigational Chart used in ECDIS and in electronic charting systems.
NOAA ENCs are updated weekly with Notice to Mariner corrections.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.charts.noaa.gov/InteractiveCatalog/nrnc.shtml | ||||
| Parent Project URL | https://www.nauticalcharts.noaa.gov/ | ||||
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| English name | Chart Locator - NOAA Office of Coast Survey | ||||
| Original (non-English) name | |||||
| Acronym | ENC- NOAA Office of Coast Survey | ||||
| Citation | |||||
| Abstract | Vector files of chart features and available in S-57 format. NOAA ENCs support marine navigation by providing the official Electronic Navigational Chart used in ECDIS and in electronic charting systems. NOAA ENCs are updated weekly with Notice to Mariner corrections. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Caribbean Sea, Gulf of Mexico, North Atlantic Ocean, North Pacific Ocean Themes: DS03 Physical oceanography, DS12 Human activities Keywords: nautical charts, navigation, near real time data, notices to mariners, open access
Last updated: 05/02/2022
Chesapeake Bay Operational Forecast System - NOAA Center for Operational Oceanographic Products and Services (ODIS id: 2454)
https://tidesandcurrents.noaa.gov/ofs/cbofs/cbofs.html
Oceanographic nowcasts and forecast guidance are scientific predictions about the present and future ...
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Chesapeake Bay Operational Forecast System - NOAA Center for Operational Oceanographic Products and Services
Oceanographic nowcasts and forecast guidance are scientific predictions about the present and future states of a water body (generally including water levels, currents, water temperature and salinity). These predictions rely on either observed data or forecasts from large-scale numerical models. A nowcast incorporates recent (and often near real-time) observed meteorological, oceanographic, and/or river flow rate data and/or analyzed (e.g. gridded) meteorological and oceanographic products. A nowcast covers the period of time from the recent past (e.g., the past few days) to the present, and it can make predictions for locations where observational data are not available. Forecast guidance incorporates meteorological, oceanographic, and/or river flow rate forecasts and makes predictions about the future states of a water body. A forecast is usually initiated by the state of a nowcast.
The wind data used to run CBOFS are based on the National Weather Service (NWS)/Real Time Mesoscale Analysis (RTMA) winds (for the nowcast) and an interpolation of the NWS North American Mesoscale (NAM)-12 atmospheric forecast model data (for the forecast). The NWS Global Forecasting System winds serve as backup winds for both the nowcast and forecast runs.
Additionally, CBOFS relies on Extratropical Storm Surge forecasts, CO-OPS' real-time water level, temperature and salinity observations, USGS river data, and the Global Real-Time Ocean Forecast System.
The new CBOFS grid has 332 x 291 points in the horizontal. The finest grid resolutions in the x- and y- directions are 34m and 29m, respectively, and the coarsest resolutions are 4895m and 3380m, respectively. The vertical grid follows the terrain and consists of 20 model levels. The CBOFS model domain was designed to include the whole of the Chesapeake Bay and a piece of the shelf to allow a realistic interaction between the shelf and the entrance to the Bay. The CBOFS grid and spatial extent is indicated above. The bathymetry of the Chesapeake Bay is indicated below. Note that the greatest resolution of the CBOFS grid corresponds with the major channels of the bay.
CBOFS runs on NOAA's High Performance Computers (HPC) in a new Coastal Ocean Modeling Framework (COMF) developed by CO-OPS. As a result, CBOFS has direct access to NWS operational meteorological products that it needs to run reliably. Nowcast and forecast guidance cycles are run 4 times a day (every 6 hours).
CBOFS output is in NetCDF format. An archive of CBOFS NetCDF nowcast and forecast files can be accessed from CO-OPS THREDDS server.
All CO-OPS official real-time products, including nowcast and forecast guidance from CBOFS are monitored by the CO-OPS's Continuous Operational Real-Time Monitoring System (CORMS). CORMS provides 24 hour per day, 7 days per week monitoring and quality control of sensors and data in order to ensure the availability, accuracy, and quality of tide, water level, current, and other marine environmental information. CORMS is intended to identify invalid and erroneous data and information before application of the data by real-time and near real-time users.
Chesapeake Bay Operational Forecast System - NOAA Center for Operational Oceanographic Products and Services (ODIS id 2454)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://tidesandcurrents.noaa.gov/ofs/cbofs/cbofs.html | ||||
| Parent Project URL | https://tidesandcurrents.noaa.gov/ | ||||
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| ODIS-Arch Type | |||||
| English name | Chesapeake Bay Operational Forecast System - NOAA Center for Operational Oceanographic Products and Services | ||||
| Original (non-English) name | |||||
| Acronym | CBOFS - NOAA-CO-OPS | ||||
| Citation | |||||
| Abstract | Oceanographic nowcasts and forecast guidance are scientific predictions about the present and future states of a water body (generally including water levels, currents, water temperature and salinity). These predictions rely on either observed data or forecasts from large-scale numerical models. A nowcast incorporates recent (and often near real-time) observed meteorological, oceanographic, and/or river flow rate data and/or analyzed (e.g. gridded) meteorological and oceanographic products. A nowcast covers the period of time from the recent past (e.g., the past few days) to the present, and it can make predictions for locations where observational data are not available. Forecast guidance incorporates meteorological, oceanographic, and/or river flow rate forecasts and makes predictions about the future states of a water body. A forecast is usually initiated by the state of a nowcast. The wind data used to run CBOFS are based on the National Weather Service (NWS)/Real Time Mesoscale Analysis (RTMA) winds (for the nowcast) and an interpolation of the NWS North American Mesoscale (NAM)-12 atmospheric forecast model data (for the forecast). The NWS Global Forecasting System winds serve as backup winds for both the nowcast and forecast runs. Additionally, CBOFS relies on Extratropical Storm Surge forecasts, CO-OPS' real-time water level, temperature and salinity observations, USGS river data, and the Global Real-Time Ocean Forecast System. The new CBOFS grid has 332 x 291 points in the horizontal. The finest grid resolutions in the x- and y- directions are 34m and 29m, respectively, and the coarsest resolutions are 4895m and 3380m, respectively. The vertical grid follows the terrain and consists of 20 model levels. The CBOFS model domain was designed to include the whole of the Chesapeake Bay and a piece of the shelf to allow a realistic interaction between the shelf and the entrance to the Bay. The CBOFS grid and spatial extent is indicated above. The bathymetry of the Chesapeake Bay is indicated below. Note that the greatest resolution of the CBOFS grid corresponds with the major channels of the bay. CBOFS runs on NOAA's High Performance Computers (HPC) in a new Coastal Ocean Modeling Framework (COMF) developed by CO-OPS. As a result, CBOFS has direct access to NWS operational meteorological products that it needs to run reliably. Nowcast and forecast guidance cycles are run 4 times a day (every 6 hours). CBOFS output is in NetCDF format. An archive of CBOFS NetCDF nowcast and forecast files can be accessed from CO-OPS THREDDS server. All CO-OPS official real-time products, including nowcast and forecast guidance from CBOFS are monitored by the CO-OPS's Continuous Operational Real-Time Monitoring System (CORMS). CORMS provides 24 hour per day, 7 days per week monitoring and quality control of sensors and data in order to ensure the availability, accuracy, and quality of tide, water level, current, and other marine environmental information. CORMS is intended to identify invalid and erroneous data and information before application of the data by real-time and near real-time users. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - National Ocean Service - Center for Operational Oceanographic Products and Services | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: North Atlantic Ocean Themes: DS03 Physical oceanography Keywords: sea level, sea water salinity, sea water temperature, tides, tides forecast, time-series
Last updated: 27/09/2021
Chilean Wave Atlas (ODIS id: 2273)
https://oleaje.uv.cl/
Welcome to the wave information website of the School of Oceanic Civil Engineering of the University ...
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Chilean Wave Atlas
Welcome to the wave information website of the School of Oceanic Civil Engineering of the University of Valparaíso .
On this site you will find statistical and forecast information for waves generated within the framework of the Fondef-Idea IT13I20006 project "A Wave Atlas for Chile".
The statistical information presented in the section "Atlas de Oleaje de Chile" was generated with the Wavewatch III v.4.18 model calibrated from satellite and buoy altimetry measurements, which was later corrected for systematic errors. This information corresponds to the best available on the project completion date and meets the main objective and motivation, which is to make the statistical behavior of the waves off the coast of Chile freely available.
The swell information from the Atlas was analyzed with a level of detail rarely seen. Thus, it was possible to characterize the operational and extreme wave climate, also including advanced technical aspects such as storm surge duration, storm trajectory, spectral shape, multimodality and uncertainty, among others.
The wave forecast is generated with the Wavewatch III model from NOAA operational forecast wind fields . Information is delivered in deep waters and in front of the mouth of the most important ports. Climate change projections were generated from global climate models whose bias was corrected using information from the Wave Atlas. The information on historical swells was compiled from bibliographic sources, press archives, and records of the Chilean Navy.
Degree memories , technical reports and publications in conferences and magazines support and complement the content presented in this document.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://oleaje.uv.cl/ | ||||
| Parent Project URL | https://oleaje.uv.cl/ | ||||
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| English name | Chilean Wave Atlas | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | The total or partial reproduction of this publication is authorized, by any means or procedure, provided that it is included the bibliographic citation of the book. How to cite this book: Beyá J., Álvarez M., Gallardo A., Hidalgo H., Aguirre C., Valdivia J., Parra C., Méndez L., Contreras F., Winckler P., Molina M. (2016 ). Chilean Wave Atlas. First edition. Valparaíso, Chile, School of Oceanic Civil Engineering - University of Valparaíso. | ||||
| Abstract | Welcome to the wave information website of the School of Oceanic Civil Engineering of the University of Valparaíso . On this site you will find statistical and forecast information for waves generated within the framework of the Fondef-Idea IT13I20006 project "A Wave Atlas for Chile". The statistical information presented in the section "Atlas de Oleaje de Chile" was generated with the Wavewatch III v.4.18 model calibrated from satellite and buoy altimetry measurements, which was later corrected for systematic errors. This information corresponds to the best available on the project completion date and meets the main objective and motivation, which is to make the statistical behavior of the waves off the coast of Chile freely available. The swell information from the Atlas was analyzed with a level of detail rarely seen. Thus, it was possible to characterize the operational and extreme wave climate, also including advanced technical aspects such as storm surge duration, storm trajectory, spectral shape, multimodality and uncertainty, among others. The wave forecast is generated with the Wavewatch III model from NOAA operational forecast wind fields . Information is delivered in deep waters and in front of the mouth of the most important ports. Climate change projections were generated from global climate models whose bias was corrected using information from the Wave Atlas. The information on historical swells was compiled from bibliographic sources, press archives, and records of the Chilean Navy. Degree memories , technical reports and publications in conferences and magazines support and complement the content presented in this document. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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Languages: Spanish Countries: Chile Host Countries: Chile Sea Region: Pacific Ocean Themes: DS03 Physical oceanography Keywords: Information and knowledge products, Modelling, Numerical model prediction, open access, operational service, waves
Last updated: 06/09/2021
CICESE Tide calendars in Mexico (ODIS id: 346)
http://predmar.cicese.mx/calendarios/
This page provides tide calendars off the coast of Mexico. The forecasts are based on historical hou ...
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CICESE Tide calendars in Mexico
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.
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| Submitter/Owner | Dr Carlos R. Torres ( OceanExpert : 19846 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | http://predmar.cicese.mx/calendarios/ | ||||
| Parent Project URL | http://predmar.cicese.mx/ | ||||
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| English name | CICESE Tide calendars in Mexico | ||||
| Original (non-English) name | CICESE Calendarios de mareas en México | ||||
| Acronym | Predmar | ||||
| Citation | Predmar http://predmar.cicese.mx/calendarios/ accesado 8/feb/2018. | ||||
| Abstract | 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. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | |||||
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| Spatial Coverage | 32N 8N -120E -80W | ||||
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Languages: Spanish Countries: Mexico Host Countries: Mexico Sea Region: Caribbean Sea, Gulf of California, Gulf of Mexico Themes: DS03 Physical oceanography Keywords: sea level, tides
Last updated: 13/09/2020
Climate Variability - Caribbean Coastal Ocean Observing System (ODIS id: 1541)
https://www.caricoos.org/climate-variability
This page contains information on ocean and atmospheric conditions documenting or driving climate va ...
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Climate Variability - Caribbean Coastal Ocean Observing System
This page contains information on ocean and atmospheric conditions documenting or driving climate variability. The image depicts the latest sea surface temperature (SST).
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.caricoos.org/climate-variability | ||||
| Parent Project URL | https://www.caricoos.org/ | ||||
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| English name | Climate Variability - Caribbean Coastal Ocean Observing System | ||||
| Original (non-English) name | |||||
| Acronym | Climate Variability - CARICOOS | ||||
| Citation | |||||
| Abstract | This page contains information on ocean and atmospheric conditions documenting or driving climate variability. The image depicts the latest sea surface temperature (SST). | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Caribbean Sea Themes: DS02 Chemical oceanography, DS03 Physical oceanography, DS05 Atmosphere Keywords: atmospheric and oceanic research, Climate change, Sea surface temperature, climate and seasonal observation, climate indicators, climate variability, climate variations, sea level, sea water temperature
Last updated: 20/06/2021
Climatology of the California Underwater Glider Network - California Underwater Glider Network at University of California San Diego (ODIS id: 2559)
https://spraydata.ucsd.edu/climCUGN/
The climatology is provided for each section of the California Underwater Glider Network, projected ...
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Climatology of the California Underwater Glider Network - California Underwater Glider Network at University of California San Diego
The climatology is provided for each section of the California Underwater Glider Network, projected on depth or potential density vertical coordinates. These netCDF files are CF-1.6 and ACDD compliant, including all relevant metadata.
Climatology of the California Underwater Glider Network - California Underwater Glider Network at University of California San Diego (ODIS id 2559)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://spraydata.ucsd.edu/climCUGN/ | ||||
| Parent Project URL | https://spraydata.ucsd.edu/ | ||||
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| English name | Climatology of the California Underwater Glider Network - California Underwater Glider Network at University of California San Diego | ||||
| Original (non-English) name | |||||
| Acronym | Climatology of the CUGN - CUGN-UCSD | ||||
| Citation | You are welcome to download and use these figures and the associated data. If you do so please include both in your bibliography both references: Rudnick, D. L., K. D. Zaba, R. E. Todd, and R. E. Davis, 2017: A climatology of the California Current System from a network of underwater gliders. Progress in Oceanography, 154, 64-106; doi: 10.1016/j.pocean.2017.03.002 Rudnick, D. L., K. D. Zaba, R. E. Todd, and R. E. Davis, 2017: A climatology using data from the California Underwater Glider Network - Dataset [Downloaded at XXXX]. Scripps Institution of Oceanography, Instrument Development Group. doi: 10.21238/S8SPRAY7292 | ||||
| Abstract | The climatology is provided for each section of the California Underwater Glider Network, projected on depth or potential density vertical coordinates. These netCDF files are CF-1.6 and ACDD compliant, including all relevant metadata. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | University of California, San Diego, Scripps Institution of Oceanography | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Pacific Ocean Themes: DS03 Physical oceanography Keywords: Glider, climatology, coastal ocean waters, oceanographic data
Last updated: 10/10/2021
Climatology Product - OceanFlux Greenhouse Gases (ODIS id: 2065)
http://www.oceanflux-ghg.org/Products/Climatology
The OceanFlux Greenhouse Gases project have developed a climatology of carbon dioxide normalised to ...
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Climatology Product - OceanFlux Greenhouse Gases
The OceanFlux Greenhouse Gases project have developed a climatology of carbon dioxide normalised to the year 2010 (Goddijn-Murphy et al. 2015). This has been developed using a re-analysed version of the international SOCAT dataset. Using this as a basis the project team have been generated an estimate of the atmosphere-ocean carbon dioxide fluxes for 2010 and these data are available as NetCDF data.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.oceanflux-ghg.org/Products/Climatology | ||||
| Parent Project URL | http://www.oceanflux-ghg.org/ | ||||
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| English name | Climatology Product - OceanFlux Greenhouse Gases | ||||
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| Acronym | Climatology Product - Oceanflux GHG | ||||
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| Abstract | The OceanFlux Greenhouse Gases project have developed a climatology of carbon dioxide normalised to the year 2010 (Goddijn-Murphy et al. 2015). This has been developed using a re-analysed version of the international SOCAT dataset. Using this as a basis the project team have been generated an estimate of the atmosphere-ocean carbon dioxide fluxes for 2010 and these data are available as NetCDF data. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: REGIONAL Host Countries: REGIONAL Sea Region: World Themes: DS02 Chemical oceanography Keywords: Climate change, Ocean acidification, acidification monitoring, air-sea interaction, carbon cycle, carbon dioxide, carbon flux, gas exchange, gas flux, greenhouse gases
Last updated: 02/07/2021
Clouds - Pacific Islands Ocean Observing System (ODIS id: 2598)
http://www.pacioos.hawaii.edu/weather-category/clouds/
Global cloud imagery are compiled by the University of Wisconsin-Madison (UW) Space Science and Engi ...
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Clouds - Pacific Islands Ocean Observing System
Global cloud imagery are compiled by the University of Wisconsin-Madison (UW) Space Science and Engineering Center (SSEC) and accessed via their RealEarth™ Web Map Service (WMS). These hourly imagery are composites of approximately 14 satellites, both geostationary (GEO) and low earth-orbiting (LEO). Infrared imagery are provided at approximately 4-km (2.5-mile) resolution while visible imagery have a higher 1-km (0.6-mile) resolution. Visible imagery can only see clouds when it is daytime while infrared can sense clouds during the day and nigh.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.pacioos.hawaii.edu/weather-category/clouds/ | ||||
| Parent Project URL | http://www.pacioos.hawaii.edu/ | ||||
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| English name | Clouds - Pacific Islands Ocean Observing System | ||||
| Original (non-English) name | |||||
| Acronym | Clouds - PacIOOS | ||||
| Citation | |||||
| Abstract | Global cloud imagery are compiled by the University of Wisconsin-Madison (UW) Space Science and Engineering Center (SSEC) and accessed via their RealEarth™ Web Map Service (WMS). These hourly imagery are composites of approximately 14 satellites, both geostationary (GEO) and low earth-orbiting (LEO). Infrared imagery are provided at approximately 4-km (2.5-mile) resolution while visible imagery have a higher 1-km (0.6-mile) resolution. Visible imagery can only see clouds when it is daytime while infrared can sense clouds during the day and nigh. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | University of Wisconsin-Madison | ||||
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Languages: English Countries: REGIONAL Host Countries: United States Sea Region: no searegion defined Themes: DS05 Atmosphere Keywords: clouds, meteorology, satellite imagery, weather foreast
Last updated: 05/02/2022
Coastal Data Information Program (ODIS id: 1078)
https://cdip.ucsd.edu
The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves and beaches ...
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Coastal Data Information Program
The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves and beaches along the coastlines of the United States. Since its inception in 1975, the program has produced a vast database of publicly-accessible environmental data for use by coastal engineers and planners, scientists, mariners, and marine enthusiasts. The program has also remained at the forefront of coastal monitoring, developing numerous innovations in instrumentation, system control and management, computer hardware and software, field equipment, and installation techniques.
CDIP is operated by the Ocean Engineering Research Group (OERG), part of the Integrative Oceanography Division (IOD) at Scripps Institution of Oceanography (SIO).
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| Submitter/Owner | Dr James Behrens ( OceanExpert : 28097 ) | ||||
| Submitter/Owner Role | Other | ||||
| Datasource URL | https://cdip.ucsd.edu | ||||
| Parent Project URL | https://ucsd.edu/ | ||||
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| English name | Coastal Data Information Program | ||||
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| Acronym | CDIP | ||||
| Citation | When used for web displays and online resources, please provide a link to the CDIP homepage. For instance, in standard html: Data courtesy of <a href=https://cdip.ucsd.edu/>CDIP</a>. For offline references, please choose the appropriate form from the following recommended acknowledgements. (1) Short form (figure captions, etc.) “… data from CDIP, Scripps Institution of Oceanography.” (2) Longer form (in text) “…data were furnished by the Coastal Data Information Program, Integrative Oceanography Division, operated by the Scripps Institution of Oceanography.” (3) Full form (acknowledgements at conclusion of papers, etc.) “…data were furnished by the Coastal Data Information Program (CDIP), Integrative Oceanography Division, operated by the Scripps Institution of Oceanography, under the sponsorship of the U.S. Army Corps of Engineers and the California Department of Parks and Recreation.” (4) https://doi.org/10.18437/C7WC72 | ||||
| Abstract | The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves and beaches along the coastlines of the United States. Since its inception in 1975, the program has produced a vast database of publicly-accessible environmental data for use by coastal engineers and planners, scientists, mariners, and marine enthusiasts. The program has also remained at the forefront of coastal monitoring, developing numerous innovations in instrumentation, system control and management, computer hardware and software, field equipment, and installation techniques. CDIP is operated by the Ocean Engineering Research Group (OERG), part of the Integrative Oceanography Division (IOD) at Scripps Institution of Oceanography (SIO). | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | United States Geological Survey | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Atlantic Ocean, Caribbean Sea, Gulf of Alaska, Gulf of Mexico, Lake Michigan, Lake Superior, Pacific Ocean, Straits of Florida, World Themes: DS03 Physical oceanography Keywords: Monitoring, Numerical model prediction, Sea surface temperature, moored buoy, waves
Last updated: 11/10/2021
Coastal Habitat Mapping of the Falkland Islands - South Atlantic Environmental Research Institute (ODIS id: 3044)
https://data.saeri.org/saeri_webgis/lizmap/www/index.php/view/map/?repository=04f&project=fi_coastal_hab_map_wu_rem
Historically, and to this day, the coastal and inshore marine ecosystems and resources have played a ...
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Coastal Habitat Mapping of the Falkland Islands - South Atlantic Environmental Research Institute
Historically, and to this day, the coastal and inshore marine ecosystems and resources have played an important role in the Falkland Islands. Knowledge of these coastal environments is essential for their management, yet comprehensive island-wide broad scale and fine scale coastal habitat maps are lacking. Such maps could form an important baseline from which to measure future change.
The DPLUS065 Coastal Habitat Mapping project aimed to fill this critical gap in coastal knowledge. The three-year project, concluding in March 2020, was grant aided by the Darwin Initiative through UK Government funding. The project utilised medium resolution satellite imagery, other geospatial data and local expert knowledge to develop broad scale coastal margin (terrestrial, intertidal and subtidal) habitat maps for the Falkland Islands. Where there was significant uncertainty in these broad scale maps, or in response to specific priorities from stakeholders, higher resolution habitat maps utilising very high-resolution satellite imagery or bespoke imagery captured using aerial drones were developed. The resultant habitat maps create an essential baseline, providing a basis for use in future planning, decision-making and monitoring.
The project brought together experts from SAERI, Oregon State University, the UK Joint Nature Conservation Committee, Shallow Marine Surveys Group, Falkland Islands Government and Government of South Georgia & the South Sandwich Islands, representing the leading edge in remote sensing, ecological knowledge and field expertise.
This webGIS presents some of the spatial outputs from the project, including:
1. a digital map of 1956 aerial imagery
2. a broad scale habitat map for the Falkland Islands
3. fine scale coastal habitat maps in locations of interest to stakeholders
4. aerial imagery captured by drone.
Coastal Habitat Mapping of the Falkland Islands - South Atlantic Environmental Research Institute (ODIS id 3044)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://data.saeri.org/saeri_webgis/lizmap/www/index.php/view/map/?repository=04f&project=fi_coastal_hab_map_wu_rem | ||||
| Parent Project URL | https://www.south-atlantic-research.org/research/terrestrial-science/coastal-mapping-project/ | ||||
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| English name | Coastal Habitat Mapping of the Falkland Islands - South Atlantic Environmental Research Institute | ||||
| Original (non-English) name | |||||
| Acronym | Coastal Habitat Mapping of the Falkland Islands - SAERI | ||||
| Citation | |||||
| Abstract | Historically, and to this day, the coastal and inshore marine ecosystems and resources have played an important role in the Falkland Islands. Knowledge of these coastal environments is essential for their management, yet comprehensive island-wide broad scale and fine scale coastal habitat maps are lacking. Such maps could form an important baseline from which to measure future change. The DPLUS065 Coastal Habitat Mapping project aimed to fill this critical gap in coastal knowledge. The three-year project, concluding in March 2020, was grant aided by the Darwin Initiative through UK Government funding. The project utilised medium resolution satellite imagery, other geospatial data and local expert knowledge to develop broad scale coastal margin (terrestrial, intertidal and subtidal) habitat maps for the Falkland Islands. Where there was significant uncertainty in these broad scale maps, or in response to specific priorities from stakeholders, higher resolution habitat maps utilising very high-resolution satellite imagery or bespoke imagery captured using aerial drones were developed. The resultant habitat maps create an essential baseline, providing a basis for use in future planning, decision-making and monitoring. The project brought together experts from SAERI, Oregon State University, the UK Joint Nature Conservation Committee, Shallow Marine Surveys Group, Falkland Islands Government and Government of South Georgia & the South Sandwich Islands, representing the leading edge in remote sensing, ecological knowledge and field expertise. This webGIS presents some of the spatial outputs from the project, including: 1. a digital map of 1956 aerial imagery 2. a broad scale habitat map for the Falkland Islands 3. fine scale coastal habitat maps in locations of interest to stakeholders 4. aerial imagery captured by drone. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: REGIONAL Host Countries: United Kingdom Sea Region: South Atlantic Ocean Themes: DS01 Biological oceanography, DS10 Environment Keywords: coastal and estuarine studies, coastal habitats, marine ecosystems, resources management, satellite data
Last updated: 01/01/2022
Coastal Hazards - Caribbean Coastal Ocean Observing System (ODIS id: 1542)
https://www.caricoos.org/coastal-hazards
Click on the flags for breaker height predictions and real-time buoy data. Navigate the side menu fo ...
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Coastal Hazards - Caribbean Coastal Ocean Observing System
Click on the flags for breaker height predictions and real-time buoy data. Navigate the side menu for decisional support tools to prevent coastal hazards.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.caricoos.org/coastal-hazards | ||||
| Parent Project URL | https://www.caricoos.org/ | ||||
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| English name | Coastal Hazards - Caribbean Coastal Ocean Observing System | ||||
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| Acronym | Coastal Hazards - CARICOOS | ||||
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| Abstract | Click on the flags for breaker height predictions and real-time buoy data. Navigate the side menu for decisional support tools to prevent coastal hazards. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Caribbean Sea Themes: DS10 Environment Keywords: Forecast charts , current speed and direction, data services, data visualization, forecast model output, forecasting system, meteorological services, meteorology, storm surge, tides forecast, water quality, wave height and direction, waves, wind speed
Last updated: 20/06/2021
Coastal Inundation Dashboard - NOAA National Ocean Service (ODIS id: 2479)
https://tidesandcurrents.noaa.gov/inundationdb/
Inundation Dashboard provides real-time and historic coastal flooding information at a majority of c ...
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Coastal Inundation Dashboard - NOAA National Ocean Service
Inundation Dashboard provides real-time and historic coastal flooding information at a majority of coastal water level stations operated by the National Ocean Service (NOS) Center for Operational Oceanographic Products & Services (CO-OPS). The product features both a map based view where users can easily view coastal flooding information geospatially and a more detailed station view where real-time and historical data for a specific location are highlighted.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://tidesandcurrents.noaa.gov/inundationdb/ | ||||
| Parent Project URL | https://tidesandcurrents.noaa.gov/ | ||||
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| English name | Coastal Inundation Dashboard - NOAA National Ocean Service | ||||
| Original (non-English) name | |||||
| Acronym | Coastal Inundation Dashboard - NOAA-NOS | ||||
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| Abstract | Inundation Dashboard provides real-time and historic coastal flooding information at a majority of coastal water level stations operated by the National Ocean Service (NOS) Center for Operational Oceanographic Products & Services (CO-OPS). The product features both a map based view where users can easily view coastal flooding information geospatially and a more detailed station view where real-time and historical data for a specific location are highlighted. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA, National Ocean Service | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Caribbean Sea, Gulf of Mexico, North Atlantic Ocean, North Pacific Ocean Themes: DS03 Physical oceanography Keywords: coastal inundation, coastal monitoring, data products, data services, data visualization, mapping
Last updated: 05/02/2022
Coastal marine observatory site Gulf of Trieste (ODIS id: 387)
http://nettuno.ogs.trieste.it/ilter/GoTTs/en_index.html
For long term monitoring of ecological and oceanographic processes in the northernmost part of the A ...
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Coastal marine observatory site Gulf of Trieste
For long term monitoring of ecological and oceanographic processes in the northernmost part of the Adriatic Sea at border of Area Marina Protetta di Miramare.
MAMBO Buoy (Monitoraggio AMBientale Operativo == ENVironmental Operative Monitoring) - History of the time series. Mambo buoy was the first weather-marine coastal station installed in the northern Adriatic, able to detect the main meteorological and oceanographic parameters in near rela time.
Launched in September 1998, MAMBO has been operational since January 1999; it is anchored at a depth of about 17 m, at outer limit of the Marine Protected Area of Miramare, in the Gulf of Trieste, in the northernmost part of the Adriatic Sea (45° 41'95" N and 13° 42'99" E); it is part of the Adriatic Long Term Ecological Research (LTER) site, together with biological time-series C1.
The system was developed by OGS (at time Osservatorio Geofisico Sperimentale), at the request of WWF and of the Marine Protected Area of Miramamare, and took advantage of previous experiences of measurement and design in the Sicilian Channel and in the Gulf of Trieste.
Over the years, there have been several imodifications in the configuration of the acquisition system; they are summarized in the technical details.
It should be highlighted that, from 1999 to 2004, the sensors for the determination of the temperature, conductivity, pressure, dissolved oxygen, turbidity, pH, and chlorophyll have operated in profiliyng mode, by performing a vertical profile along the water column every three hours.
Since 2005, however, the sensors for the hydrological properties have acquired data at a constant depth, initially at 10 m, and later also at 2 and 15 m in depth.
The MAMBO-1 buoy of Miramare has also served as a testing laboratory for other buoys, variously configured, still working even for Civil Protection of Friuli Venezia Giulia.
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://nettuno.ogs.trieste.it/ilter/GoTTs/en_index.html | ||||
| Parent Project URL | https://www.inogs.it/ | ||||
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| English name | Coastal marine observatory site Gulf of Trieste | ||||
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| Abstract | For long term monitoring of ecological and oceanographic processes in the northernmost part of the Adriatic Sea at border of Area Marina Protetta di Miramare. MAMBO Buoy (Monitoraggio AMBientale Operativo == ENVironmental Operative Monitoring) - History of the time series. Mambo buoy was the first weather-marine coastal station installed in the northern Adriatic, able to detect the main meteorological and oceanographic parameters in near rela time. Launched in September 1998, MAMBO has been operational since January 1999; it is anchored at a depth of about 17 m, at outer limit of the Marine Protected Area of Miramare, in the Gulf of Trieste, in the northernmost part of the Adriatic Sea (45° 41'95" N and 13° 42'99" E); it is part of the Adriatic Long Term Ecological Research (LTER) site, together with biological time-series C1. The system was developed by OGS (at time Osservatorio Geofisico Sperimentale), at the request of WWF and of the Marine Protected Area of Miramamare, and took advantage of previous experiences of measurement and design in the Sicilian Channel and in the Gulf of Trieste. Over the years, there have been several imodifications in the configuration of the acquisition system; they are summarized in the technical details. It should be highlighted that, from 1999 to 2004, the sensors for the determination of the temperature, conductivity, pressure, dissolved oxygen, turbidity, pH, and chlorophyll have operated in profiliyng mode, by performing a vertical profile along the water column every three hours. Since 2005, however, the sensors for the hydrological properties have acquired data at a constant depth, initially at 10 m, and later also at 2 and 15 m in depth. The MAMBO-1 buoy of Miramare has also served as a testing laboratory for other buoys, variously configured, still working even for Civil Protection of Friuli Venezia Giulia. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Istituto Nazionale di Oceanografia e di Geofisica Sperimentale – OGS | ||||
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Languages: Italian Countries: Italy Host Countries: Italy Sea Region: Adriatic Sea Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography Keywords: biology, ecology, long-term variations, moored buoy, time-series
Last updated: 02/10/2021
Coastal Modeling - Southern California Coastal Ocean Observing System (ODIS id: 2555)
https://sccoos.org/coastal-modeling/
The coastal zone is defined here as spanning from the offshore continental slope to the shoreline as ...
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Coastal Modeling - Southern California Coastal Ocean Observing System
The coastal zone is defined here as spanning from the offshore continental slope to the shoreline as determined by averaging over the incoming waves (Fig. 1). Its physical circulation phenomena include seasonal and interannual cycles, wind-driven currents, tides, mesoscale eddies (more offshore), submesoscale density fronts and filaments, topographic wakes, internal and inertial waves, surface waves and wave-driven littoral currents, and turbulent boundary layers near the surface and bottom. It is distinctive in many ways from the deeper sea, most conspicuously in its smaller, faster scales of evolution and the greater influence of the proximate bottom in shallow water. As such, it requires special modeling techniques.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://sccoos.org/coastal-modeling/ | ||||
| Parent Project URL | https://sccoos.org/ | ||||
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| English name | Coastal Modeling - Southern California Coastal Ocean Observing System | ||||
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| Acronym | Coastal Modeling - SCCOOS | ||||
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| Abstract | The coastal zone is defined here as spanning from the offshore continental slope to the shoreline as determined by averaging over the incoming waves (Fig. 1). Its physical circulation phenomena include seasonal and interannual cycles, wind-driven currents, tides, mesoscale eddies (more offshore), submesoscale density fronts and filaments, topographic wakes, internal and inertial waves, surface waves and wave-driven littoral currents, and turbulent boundary layers near the surface and bottom. It is distinctive in many ways from the deeper sea, most conspicuously in its smaller, faster scales of evolution and the greater influence of the proximate bottom in shallow water. As such, it requires special modeling techniques. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | University of California Los Angeles | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: no searegion defined Themes: DS03 Physical oceanography Keywords: Modelling, coastal ocean waters
Last updated: 09/10/2021
Coastal Oceanic Plankton Ecology, Production, and Observation Database (ODIS id: 850)
https://www.st.nmfs.noaa.gov/copepod/
A global plankton database that contains over 400,000 observations of copepods along with other zoop ...
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Coastal Oceanic Plankton Ecology, Production, and Observation Database
A global plankton database that contains over 400,000 observations of copepods along with other zooplankton, phytoplankton, and microbial plankton taxa. COPEPOD: The global plankton database. COPEPODITE: The global time-series directory and time series analysis toolkit. NAUPLIUS: Ecosystems data products and visualization tools. COPEPEDIA: Taxonomic information photos and biometric data. This database provides fisheries and marine ecosystems investigators with an integrated data set of quality reviewed globally distributed plankton data along with any available co-sampled environmental hydrographic and meteorological data. These data are provided in a variety of forms e.g. spatial mean fields time-series graphical maps and figures and compilations e.g. from individual data sets to regional or taxa based compilations.
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| Submitter/Owner | stat unescap ( OceanExpert : 41443 ) | ||||
| Submitter/Owner Role | ESCAP | ||||
| Datasource URL | https://www.st.nmfs.noaa.gov/copepod/ | ||||
| Parent Project URL | https://www.noaa.gov/ | ||||
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| English name | Coastal Oceanic Plankton Ecology, Production, and Observation Database | ||||
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| Acronym | COPEPOD | ||||
| Citation | 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). The most recent printed NOAA technical memorandum (NMFS-F/ST-37, aka "COPEPOD-2014") is available as an electronic PDF file (here) . The database can be cited as follows: O'Brien, T.D. 2014. COPEPOD: The Global Plankton Database. An overview of the 2014 database contents, processing methods, and access interface. U.S. Dep. Commerce, NOAA Tech. Memo. NMFS-F/ST-37, 29p. To cite the online database, some possible format examples are: COPEPOD: the global plankton database. ONLINE. 2019. Available: https://www.st.nfms.noaa.gov/copepod [8-Sep-2009]." ... or ... Plankton data were acquired from the COPEPOD global plankton database <https://www.st.nfms.noaa.gov/copepod>. | ||||
| Abstract | A global plankton database that contains over 400,000 observations of copepods along with other zooplankton, phytoplankton, and microbial plankton taxa. COPEPOD: The global plankton database. COPEPODITE: The global time-series directory and time series analysis toolkit. NAUPLIUS: Ecosystems data products and visualization tools. COPEPEDIA: Taxonomic information photos and biometric data. This database provides fisheries and marine ecosystems investigators with an integrated data set of quality reviewed globally distributed plankton data along with any available co-sampled environmental hydrographic and meteorological data. These data are provided in a variety of forms e.g. spatial mean fields time-series graphical maps and figures and compilations e.g. from individual data sets to regional or taxa based compilations. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | National Oceanic and Atmospheric Administration | ||||
| Technical notes | Text/ Html/ CVS/ Maps | ||||
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Languages: English Countries: Belgium Host Countries: Belgium Sea Region: World Themes: DS01 Biological oceanography Keywords: Marine Species, Phytoplankton, Zooplankton, biomass distribution, copepods, ecology, global databse, global ocean, plankton, taxonomy
Last updated: 09/10/2021
Coastal weather stations - Oceanographic and Antarctic Institute of the Ecuadorian Navy (ODIS id: 2017)
https://www.inocar.mil.ec/web/index.php/productos/estaciones-meteorologicas
The Oceanographic Institute maintains the Coastal Meteorological Station Network.
The monitoring ...
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Coastal weather stations - Oceanographic and Antarctic Institute of the Ecuadorian Navy
The Oceanographic Institute maintains the Coastal Meteorological Station Network.
The monitoring of meteorological parameters in the stations of the network allows INOCAR to keep its Meteorological Data Bank updated, and to know the climatic conditions present in the coastal area.
Graphs of the INOCAR Coastal Meteorological Network Stations are presented, with the following parameters:
- Surface Air Temperature,
- Frequencies and average speed of winds in the 8 main courses.
Coastal weather stations - Oceanographic and Antarctic Institute of the Ecuadorian Navy (ODIS id 2017)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.inocar.mil.ec/web/index.php/productos/estaciones-meteorologicas | ||||
| Parent Project URL | https://www.inocar.mil.ec/web/index.php | ||||
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| English name | Coastal weather stations - Oceanographic and Antarctic Institute of the Ecuadorian Navy | ||||
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| Acronym | Coastal weather stations - INOCAR | ||||
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| Abstract | The Oceanographic Institute maintains the Coastal Meteorological Station Network. The monitoring of meteorological parameters in the stations of the network allows INOCAR to keep its Meteorological Data Bank updated, and to know the climatic conditions present in the coastal area. Graphs of the INOCAR Coastal Meteorological Network Stations are presented, with the following parameters: - Surface Air Temperature, - Frequencies and average speed of winds in the 8 main courses. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: Spanish Countries: Ecuador Host Countries: Ecuador Sea Region: Pacific Ocean Themes: DS03 Physical oceanography, DS05 Atmosphere Keywords: weather station, Monitoring, air temperature, coastal ocean waters, monitoring system, observing system, sea surface, wind speed
Last updated: 07/06/2021
CODAR Data visualization - Ocean Observation Laboratory at UMass Dartmouth's School for Marine Science and Technology (ODIS id: 2683)
http://www.smast.umassd.edu/OCEANOL/codar.html
OCEANOL researchers have been monitoring coastal ocean surface currents for over a decade using a lo ...
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CODAR Data visualization - Ocean Observation Laboratory at UMass Dartmouth's School for Marine Science and Technology
OCEANOL researchers have been monitoring coastal ocean surface currents for over a decade using a long range Coastal Ocean Dynamics Applications Radar (CODAR) station at the Cape Cod National Seashore near Nauset, MA. This high frequency (HF) radar system transmits a 5-MHz radio signal over the water and listens for this signal to return after being back-scattered by the ocean waves. Employing the principles of Bragg scattering and the Doppler shift, these data are used to calculate the speed and radial direction of the surface current. Data from our CODAR site on Cape Cod are combined with data from similar systems on Nantucket, Martha's Vineyard, and Block Island to produce hourly maps of surface ocean current vectors out to about 150 km offshore and with a spatial resolution of about 6 km.
Use the interactive map below to view these current data in either 1- or 25- hour averages. Our CODAR site is one of many deployed along the United States coastline. Zoom out and move around to view similar data for other parts of the continental U.S., Hawaii, and Puerto Rico!
CODAR Data visualization - Ocean Observation Laboratory at UMass Dartmouth's School for Marine Science and Technology (ODIS id 2683)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.smast.umassd.edu/OCEANOL/codar.html | ||||
| Parent Project URL | https://www.umassd.edu/smast/ | ||||
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| English name | CODAR Data visualization - Ocean Observation Laboratory at UMass Dartmouth's School for Marine Science and Technology | ||||
| Original (non-English) name | |||||
| Acronym | CODAR Data visualization - OCEANOL-SMAST | ||||
| Citation | |||||
| Abstract | OCEANOL researchers have been monitoring coastal ocean surface currents for over a decade using a long range Coastal Ocean Dynamics Applications Radar (CODAR) station at the Cape Cod National Seashore near Nauset, MA. This high frequency (HF) radar system transmits a 5-MHz radio signal over the water and listens for this signal to return after being back-scattered by the ocean waves. Employing the principles of Bragg scattering and the Doppler shift, these data are used to calculate the speed and radial direction of the surface current. Data from our CODAR site on Cape Cod are combined with data from similar systems on Nantucket, Martha's Vineyard, and Block Island to produce hourly maps of surface ocean current vectors out to about 150 km offshore and with a spatial resolution of about 6 km. Use the interactive map below to view these current data in either 1- or 25- hour averages. Our CODAR site is one of many deployed along the United States coastline. Zoom out and move around to view similar data for other parts of the continental U.S., Hawaii, and Puerto Rico! | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | University of Massachusetts Dartmouth, School for Marine Science and Technology | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Atlantic Ocean Themes: DS03 Physical oceanography Keywords: HF radar, data products, data visualization, observational oceanography, observing system
Last updated: 23/10/2021
CODAR Surface Current Maps - Mid-Atlantic Regional Association Coastal Ocean Observing System (ODIS id: 2679)
https://marine.rutgers.edu/cool/maracoos/imagery/
abstract to fill
CODAR Surface Current Maps - Mid-Atlantic Regional Association Coastal Ocean Observing System
abstract to fill
CODAR Surface Current Maps - Mid-Atlantic Regional Association Coastal Ocean Observing System (ODIS id 2679)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://marine.rutgers.edu/cool/maracoos/imagery/ | ||||
| Parent Project URL | https://maracoos.org/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | CODAR Surface Current Maps - Mid-Atlantic Regional Association Coastal Ocean Observing System | ||||
| Original (non-English) name | |||||
| Acronym | CODAR Surface Current Maps - MARACOOS | ||||
| Citation | |||||
| Abstract | abstract to fill | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Rutgers University, Institute of Marine and Coastal Sciences | ||||
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Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Atlantic Ocean Themes: DS03 Physical oceanography Keywords: current pattern, current speed and direction, image gallery, maps collection
Last updated: 23/10/2021
Cod movements at windmill farm - Lifewatch (ODIS id: 3008)
http://vliz.carto.com/viz/41e0bac0-a3bb-11e3-a041-0e73339ffa50/embed_map?title=true&description=true&search=false&shareable=true&cartodb_logo=true&layer_selector=true&legends=true&scrollwheel=true&fullscreen=false&sublayer_options=1|1&sql=SELECT%20*%20FRO
Discover how cod are behaving at the windmill farm in the Belgian Part of the North Sea.
movemen ...
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Cod movements at windmill farm - Lifewatch
Discover how cod are behaving at the windmill farm in the Belgian Part of the North Sea.
movements at windmill farm summer 2011.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://vliz.carto.com/viz/41e0bac0-a3bb-11e3-a041-0e73339ffa50/embed_map?title=true&description=true&search=false&shareable=true&cartodb_logo=true&layer_selector=true&legends=true&scrollwheel=true&fullscreen=false&sublayer_options=1|1&sql=SELECT%20*%20FRO | ||||
| Parent Project URL | https://lifewatch.be/en/local-observatory-data-fish | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Cod movements at windmill farm - Lifewatch | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | Discover how cod are behaving at the windmill farm in the Belgian Part of the North Sea. movements at windmill farm summer 2011. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Vlaams Instituut voor de Zee | ||||
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Languages: English Countries: Belgium Host Countries: Belgium Sea Region: North Sea Themes: DS01 Biological oceanography Keywords: fish populations, observation data
Last updated: 18/12/2021
Color Producing Agents and Harmful Algal Blooms - NOAA CoastWatch Great Lakes Node (ODIS id: 2870)
https://coastwatch.glerl.noaa.gov/ocean-color/ocean-color.html
Color producing agents (CPAs) and harmful algal blooms (HABs).
Color Producing Agents and Harmful Algal Blooms - NOAA CoastWatch Great Lakes Node
Color producing agents (CPAs) and harmful algal blooms (HABs).
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://coastwatch.glerl.noaa.gov/ocean-color/ocean-color.html | ||||
| Parent Project URL | https://www.noaa.gov/ | ||||
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| English name | Color Producing Agents and Harmful Algal Blooms - NOAA CoastWatch Great Lakes Node | ||||
| Original (non-English) name | |||||
| Acronym | |||||
| Citation | |||||
| Abstract | Color producing agents (CPAs) and harmful algal blooms (HABs). | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | National Oceanic and Atmospheric Administration | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: no searegion defined Themes: DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Algal bloom, Chlorophyll, Lake water chemistry, lakes, ocean colour, water properties
Last updated: 14/02/2022
Columbia River Estuary Operational Forecast System - NOAA Center for Operational Oceanographic Products and Services (ODIS id: 2466)
https://tidesandcurrents.noaa.gov/ofs/creofs/creofs.html
Oceanographic nowcasts and forecast guidance are scientific predictions about the present and future ...
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Columbia River Estuary Operational Forecast System - NOAA Center for Operational Oceanographic Products and Services
Oceanographic nowcasts and forecast guidance are scientific predictions about the present and future states of a water body (generally including water levels, currents, water temperature and salinity). These predictions rely on either observed data or forecasts from large-scale numerical models. A nowcast incorporates recent (and often near real-time) observed meteorological, oceanographic, and/or river flow rate data and/or analyzed (e.g. gridded) meteorological and oceanographic products. A nowcast covers the period of time from the recent past (e.g., the past few days) to the present, and it can make predictions for locations where observational data are not available. Forecast guidance incorporates meteorological, oceanographic, and/or river flow rate forecasts and makes predictions about the future states of a water body. A forecast is usually initiated by the state of a nowcast.
The wind data used to run CREOFS are based on the National Weather Service (NWS) nested, high resolution (4 km) North American Mesoscale (NAM) weather prediction model winds (for the nowcast and forecast).
Additionally, CREOFS relies on CO-OPS' real-time water level, temperature and salinity observations, the global operational Real-Time Ocean Forecast System (Global RTOFS) at the National Centers for Environmental Prediction (NCEP), which is based on an eddy resolving 1/12° global HYCOM (HYbrid Coordinate Ocean Model), U.S. Geological Survey (USGS) river data, and a regional tidal model of the northeast Pacific Ocean developed by Dr. Mike Foreman. NWS Extratropical Storm Surge (ETSS) forecasts and the Navy's global operational HYCOM forecasts are used as backup.
The CREOFS grid has 74,061 nodes and 142,684 elements and includes the upper and lower Columbia River and Estuary. Grid resolution ranges from 39 km on the open ocean boundary to approximately 100 m near the coast, indicating the flexibility of the grid size based on bathymetry from the deep ocean to the coast. Additionally, the higher resolution along the navigational channels within the river, from approximately 100 m to 10 m, provides detailed current features. The entire CREOFS grid and spatial extent is indicated at right.
CREOFS output is displayed in five separate subdomains extending from the Upper Columbia River down to the offshore region. The five subdomains are: Upper Columbia River, Middle Columbia River, Lower Columbia River, Columbia River Bar Entrance, and the mouth and offshore region of the Columbia River. Their spatial extent is show in the graphic.
The portion of the CREOFS grid that is available in the five subdomains.
CREOFS runs on NOAA's High Performance Computing System (HPCS) in a new Coastal Ocean Modeling Framework (COMF) developed by CO-OPS. As a result, CREOFS has direct access to NWS operational meteorological products that it needs to run reliably. Nowcast and forecast guidance cycles are run 4 times a day (every 6 hours).
CREOFS output is in NetCDF format. An archive of CREOFS NetCDF nowcast and forecast files can be accessed from THREDDS server.
All CO-OPS official real-time products, including nowcast and forecast guidance from CREOFS are monitored by the CO-OPS's Continuous Operational Real-Time Monitoring System (CORMS). CORMS provides 24 hour per day, 7 day per week monitoring and quality control of sensors and data in order to ensure the availability, accuracy, and quality of tide, water level, current, and other marine environmental information. CORMS is intended to identify invalid and erroneous data and information before application of the data by real-time and near real-time users.
Columbia River Datum (CDR): Established as a non-tidal, defined gradient datum that was developed from an observational study by U.S. Army Corps of Engineers (USACE), Portland District in 1912 (R.E. Hickson, 1912). The USACE installed water level gauges and established low water levels at numerous points along the Columbia River that are the foundation of the present day Columbia River Datum (CRD). CRD is an adopted low water reference plane that runs from Harrington Point at River Mile 23 to Bonneville Dam at River Mile 145. It also extends up the Willamette River at the confluence with the Columbia River to Willamette Falls in Oregon City at Willamette River Mile 27. The CRD reference zero was set at gauge locations such that the datum was below the average low water, but not as low as the lowest record for a long period which resulted from a combination of circumstances that seldom occur. Historically CRD was defined relative to the National Geodetic Vertical Datum of 1929 (NGVD 29) at distinct river miles with linear interpolation applied between defined locations. CRD is now defined at distinct river miles relative to North American Vertical Datum of 1988 (NAVD88).
For tidal datums purposes on the upper Columbia River, tidal datums (e.g. MLLW, MHW) are computed using observations the low river stages of the year, generally August through October. This time period constraint is due to the masking of the tidal signal from strong seasonal river runoff during other portions of the year (Stolz et al, 2005).
Columbia River Estuary Operational Forecast System - NOAA Center for Operational Oceanographic Products and Services (ODIS id 2466)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://tidesandcurrents.noaa.gov/ofs/creofs/creofs.html | ||||
| Parent Project URL | https://tidesandcurrents.noaa.gov/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Columbia River Estuary Operational Forecast System - NOAA Center for Operational Oceanographic Products and Services | ||||
| Original (non-English) name | |||||
| Acronym | CREOFS - NOAA-OC-OPS | ||||
| Citation | |||||
| Abstract | Oceanographic nowcasts and forecast guidance are scientific predictions about the present and future states of a water body (generally including water levels, currents, water temperature and salinity). These predictions rely on either observed data or forecasts from large-scale numerical models. A nowcast incorporates recent (and often near real-time) observed meteorological, oceanographic, and/or river flow rate data and/or analyzed (e.g. gridded) meteorological and oceanographic products. A nowcast covers the period of time from the recent past (e.g., the past few days) to the present, and it can make predictions for locations where observational data are not available. Forecast guidance incorporates meteorological, oceanographic, and/or river flow rate forecasts and makes predictions about the future states of a water body. A forecast is usually initiated by the state of a nowcast. The wind data used to run CREOFS are based on the National Weather Service (NWS) nested, high resolution (4 km) North American Mesoscale (NAM) weather prediction model winds (for the nowcast and forecast). Additionally, CREOFS relies on CO-OPS' real-time water level, temperature and salinity observations, the global operational Real-Time Ocean Forecast System (Global RTOFS) at the National Centers for Environmental Prediction (NCEP), which is based on an eddy resolving 1/12° global HYCOM (HYbrid Coordinate Ocean Model), U.S. Geological Survey (USGS) river data, and a regional tidal model of the northeast Pacific Ocean developed by Dr. Mike Foreman. NWS Extratropical Storm Surge (ETSS) forecasts and the Navy's global operational HYCOM forecasts are used as backup. The CREOFS grid has 74,061 nodes and 142,684 elements and includes the upper and lower Columbia River and Estuary. Grid resolution ranges from 39 km on the open ocean boundary to approximately 100 m near the coast, indicating the flexibility of the grid size based on bathymetry from the deep ocean to the coast. Additionally, the higher resolution along the navigational channels within the river, from approximately 100 m to 10 m, provides detailed current features. The entire CREOFS grid and spatial extent is indicated at right. CREOFS output is displayed in five separate subdomains extending from the Upper Columbia River down to the offshore region. The five subdomains are: Upper Columbia River, Middle Columbia River, Lower Columbia River, Columbia River Bar Entrance, and the mouth and offshore region of the Columbia River. Their spatial extent is show in the graphic. The portion of the CREOFS grid that is available in the five subdomains. CREOFS runs on NOAA's High Performance Computing System (HPCS) in a new Coastal Ocean Modeling Framework (COMF) developed by CO-OPS. As a result, CREOFS has direct access to NWS operational meteorological products that it needs to run reliably. Nowcast and forecast guidance cycles are run 4 times a day (every 6 hours). CREOFS output is in NetCDF format. An archive of CREOFS NetCDF nowcast and forecast files can be accessed from THREDDS server. All CO-OPS official real-time products, including nowcast and forecast guidance from CREOFS are monitored by the CO-OPS's Continuous Operational Real-Time Monitoring System (CORMS). CORMS provides 24 hour per day, 7 day per week monitoring and quality control of sensors and data in order to ensure the availability, accuracy, and quality of tide, water level, current, and other marine environmental information. CORMS is intended to identify invalid and erroneous data and information before application of the data by real-time and near real-time users. Columbia River Datum (CDR): Established as a non-tidal, defined gradient datum that was developed from an observational study by U.S. Army Corps of Engineers (USACE), Portland District in 1912 (R.E. Hickson, 1912). The USACE installed water level gauges and established low water levels at numerous points along the Columbia River that are the foundation of the present day Columbia River Datum (CRD). CRD is an adopted low water reference plane that runs from Harrington Point at River Mile 23 to Bonneville Dam at River Mile 145. It also extends up the Willamette River at the confluence with the Columbia River to Willamette Falls in Oregon City at Willamette River Mile 27. The CRD reference zero was set at gauge locations such that the datum was below the average low water, but not as low as the lowest record for a long period which resulted from a combination of circumstances that seldom occur. Historically CRD was defined relative to the National Geodetic Vertical Datum of 1929 (NGVD 29) at distinct river miles with linear interpolation applied between defined locations. CRD is now defined at distinct river miles relative to North American Vertical Datum of 1988 (NAVD88). For tidal datums purposes on the upper Columbia River, tidal datums (e.g. MLLW, MHW) are computed using observations the low river stages of the year, generally August through October. This time period constraint is due to the masking of the tidal signal from strong seasonal river runoff during other portions of the year (Stolz et al, 2005). | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - National Ocean Service - Center for Operational Oceanographic Products and Services | ||||
| Technical notes | |||||
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Languages: English Countries: United States Host Countries: United States Sea Region: no searegion defined Themes: DS03 Physical oceanography Keywords: current speed and direction, forecast model output, forecasting system, river flow, river-sea systems, salinity, water level, water temperature
Last updated: 29/09/2021
Combined Biotope Classification Scheme Catalogue - CoastKit Resources (ODIS id: 2988)
http://dev-coastkit.cbics.org/cbics_view
CBiCS is the principal marine classification system used in Victoria. CBiCS unifies historical data ...
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Combined Biotope Classification Scheme Catalogue - CoastKit Resources
CBiCS is the principal marine classification system used in Victoria. CBiCS unifies historical data under one classification umbrella. The scheme encompasses aquatic setting, biogeography, substrate, water column, geoforms, biotopes and morphospecies.
This web tool provides facilities for exploring the classes within the eight components of the CBiCS classification scheme.
Seven of the components are represented in the scheme as hierarchies, reflecting natural hierarchies of habitat and biological features in nature. There are six levels in each of these hierarchies.
The classes in the CBiCS Descriptors Component can be explored by opening and selecting the nodes in the tree views on the left of each page. Details and descriptions of the selected class are provided on the right-hand side of the page.
Please note that the Descriptor Component classes, including for wave exposure, tidal streams, ecological state, etc., are represented in a tree-view for ease of discovery and selection. The tree structure for descriptors may not represent a natural hierarchy.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://dev-coastkit.cbics.org/cbics_view | ||||
| Parent Project URL | http://dev-coastkit.cbics.org/ | ||||
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| English name | Combined Biotope Classification Scheme Catalogue - CoastKit Resources | ||||
| Original (non-English) name | |||||
| Acronym | CBiCS Catalogue - CoastKit Resources | ||||
| Citation | |||||
| Abstract | CBiCS is the principal marine classification system used in Victoria. CBiCS unifies historical data under one classification umbrella. The scheme encompasses aquatic setting, biogeography, substrate, water column, geoforms, biotopes and morphospecies. This web tool provides facilities for exploring the classes within the eight components of the CBiCS classification scheme. Seven of the components are represented in the scheme as hierarchies, reflecting natural hierarchies of habitat and biological features in nature. There are six levels in each of these hierarchies. The classes in the CBiCS Descriptors Component can be explored by opening and selecting the nodes in the tree views on the left of each page. Details and descriptions of the selected class are provided on the right-hand side of the page. Please note that the Descriptor Component classes, including for wave exposure, tidal streams, ecological state, etc., are represented in a tree-view for ease of discovery and selection. The tree structure for descriptors may not represent a natural hierarchy. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: Australia Host Countries: Australia Sea Region: Bass Strait, Great Australian Bight Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS10 Environment Keywords: biotopes, classifications and standards, marine ecology
Last updated: 12/12/2021
Community Model Interface for Tsunami - NOAA Center for Tsunami Research (ODIS id: 2909)
https://nctr.pmel.noaa.gov/ComMIT/
ComMIT is an internet-enabled interface to the community tsunami model developed by the NOAA Center ...
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Community Model Interface for Tsunami - NOAA Center for Tsunami Research
ComMIT is an internet-enabled interface to the community tsunami model developed by the NOAA Center for Tsunami Research (NCTR).
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://nctr.pmel.noaa.gov/ComMIT/ | ||||
| Parent Project URL | https://www.noaa.gov/ | ||||
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| English name | Community Model Interface for Tsunami - NOAA Center for Tsunami Research | ||||
| Original (non-English) name | |||||
| Acronym | ComMIT - NCTR | ||||
| Citation | |||||
| Abstract | ComMIT is an internet-enabled interface to the community tsunami model developed by the NOAA Center for Tsunami Research (NCTR). | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - Office of Oceanic and Atmospheric Research - Pacific Marine Environmental Laboratory | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: no searegion defined Themes: DS03 Physical oceanography, DS04 Marine geology Keywords: Modelling, data analysis, data products, data visualization, tsunami
Last updated: 14/11/2021
Community size spectrum simulator - Centre for Ocean Life (ODIS id: 2250)
http://oceanlife.dtuaqua.dk/cspectrum/
Calculate the expected ecosystem effect of a management plan involving changing the fishing mortalit ...
more
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.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://oceanlife.dtuaqua.dk/cspectrum/ | ||||
| Parent Project URL | https://www.oceanlifecentre.dk/ | ||||
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| English name | Community size spectrum simulator - Centre for Ocean Life | ||||
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| 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. | ||||
| Technical contact email | please check the record details page | ||||
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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
Compilation of web links and data for Indian Ocean Event - NOAA Center for Tsunami Research (ODIS id: 2903)
https://nctr.pmel.noaa.gov/sumatra20041226.html
December 26, 2004 Indian Ocean tsunami and earthquake web link compilation and data.
Compilation of web links and data for Indian Ocean Event - NOAA Center for Tsunami Research
December 26, 2004 Indian Ocean tsunami and earthquake web link compilation and data.
Compilation of web links and data for Indian Ocean Event - NOAA Center for Tsunami Research (ODIS id 2903)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://nctr.pmel.noaa.gov/sumatra20041226.html | ||||
| Parent Project URL | https://www.noaa.gov/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Compilation of web links and data for Indian Ocean Event - NOAA Center for Tsunami Research | ||||
| Original (non-English) name | |||||
| Acronym | Compilation of web links and data for Indian Ocean Event - NCTR | ||||
| Citation | |||||
| Abstract | December 26, 2004 Indian Ocean tsunami and earthquake web link compilation and data. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - Office of Oceanic and Atmospheric Research - Pacific Marine Environmental Laboratory | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Indian Ocean Themes: DS03 Physical oceanography, DS04 Marine geology, DS12 Human activities Keywords: data access, data analysis, data and information, data and tools, tsunami
Last updated: 14/11/2021
Condition of Coral Reefs in monitoring sites - LIPI Oceanographic Research Center (ODIS id: 646)
http://crmis.oseanografi.lipi.go.id
The Oceanography Research Center is a government agency under the Indonesian Institute of Sciences ( ...
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Condition of Coral Reefs in monitoring sites - LIPI Oceanographic Research Center
The Oceanography Research Center is a government agency under the Indonesian Institute of Sciences (LIPI). The center functions as a research center focusing on oceanography, marine biodiversity and ecology, marine bio-prospecting and aquaculture. Thi portal is the Coastal Ecosystem Monitoring Data.
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://crmis.oseanografi.lipi.go.id | ||||
| Parent Project URL | http://oseanografi.lipi.go.id/ | ||||
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| English name | Condition of Coral Reefs in monitoring sites - LIPI Oceanographic Research Center | ||||
| Original (non-English) name | |||||
| Acronym | CRMIS - LIPI Oceanography Research Center | ||||
| Citation | |||||
| Abstract | The Oceanography Research Center is a government agency under the Indonesian Institute of Sciences (LIPI). The center functions as a research center focusing on oceanography, marine biodiversity and ecology, marine bio-prospecting and aquaculture. Thi portal is the Coastal Ecosystem Monitoring Data. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Indonesian Institute of Sciences, Research Center for Physics (LIPI) | ||||
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Languages: English Countries: Indonesia Host Countries: Indonesia Sea Region: Banda Sea, Celebes Sea, Jawa Sea Themes: DS01 Biological oceanography Keywords: coral reefs, mangrove, sea grass
Last updated: 06/10/2021
Cook Inlet Beluga Whale Portal - Alaska Ocean Observing System (ODIS id: 2763)
https://aoos.org/projects1/ecosystems/cook-inlet-beluga-whale-portal/
The Cook Inlet Beluga Whale Ecosystem Portal combines the National Marine Fisheries Service Alaska R ...
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Cook Inlet Beluga Whale Portal - Alaska Ocean Observing System
The Cook Inlet Beluga Whale Ecosystem Portal combines the National Marine Fisheries Service Alaska Region Cook Inlet beluga whale scientific sightings mapper with biological, physical and socio-economic data layers into a data integration and visualization tool on the Alaska Ocean Observing System’s platform. The additional data layers include oceanographic and environmental measurements from real-time sensors; regional oceanographic and climate models; bathymetry and habitat information; data on beluga whale prey in Cook Inlet; local and traditional knowledge; other project-level GIS data; and the locations of current and planned major development activities.
This portal was made possible with funding from the National Fish and Wildlife Foundation (NFWF), NOAA National Marine Fisheries Service (NMFS), and the Cook Inlet Regional Citizens Advisory Council (CIRCAC).
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://aoos.org/projects1/ecosystems/cook-inlet-beluga-whale-portal/ | ||||
| Parent Project URL | https://aoos.org/ | ||||
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| English name | Cook Inlet Beluga Whale Portal - Alaska Ocean Observing System | ||||
| Original (non-English) name | |||||
| Acronym | Cook Inlet Beluga Whale Portal - AOOS | ||||
| Citation | |||||
| Abstract | The Cook Inlet Beluga Whale Ecosystem Portal combines the National Marine Fisheries Service Alaska Region Cook Inlet beluga whale scientific sightings mapper with biological, physical and socio-economic data layers into a data integration and visualization tool on the Alaska Ocean Observing System’s platform. The additional data layers include oceanographic and environmental measurements from real-time sensors; regional oceanographic and climate models; bathymetry and habitat information; data on beluga whale prey in Cook Inlet; local and traditional knowledge; other project-level GIS data; and the locations of current and planned major development activities. This portal was made possible with funding from the National Fish and Wildlife Foundation (NFWF), NOAA National Marine Fisheries Service (NMFS), and the Cook Inlet Regional Citizens Advisory Council (CIRCAC). | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - National Ocean Service - Integrated Ocean Observing System | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Gulf of Alaska Themes: DS01 Biological oceanography, DS10 Environment Keywords: Marine Species, data visualization, environmental monitoring, marine mammals, whales, wildlife
Last updated: 30/10/2021
Cook Inlet Operational Forecast System - NOAA Center for Operational Oceanographic Products and Services (ODIS id: 2467)
https://tidesandcurrents.noaa.gov/ofs/ciofs/ciofs.html
Oceanographic nowcasts and forecast guidance are scientific predictions about the present and future ...
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Cook Inlet Operational Forecast System - NOAA Center for Operational Oceanographic Products and Services
Oceanographic nowcasts and forecast guidance are scientific predictions about the present and future states of a water body (generally including water levels, currents, water temperature and salinity). These predictions rely on either near real-time observations or forecasts from large-scale numerical models. A nowcast incorporates recent (and often near real-time) observed meteorological, oceanographic, and/or river flow rate data and/or analyzed (e.g. gridded) meteorological and oceanographic products. A nowcast covers the period of time from the recent past (e.g., the past few days) to the present, and it can make predictions for locations where observational data are not available. Forecast guidance incorporates meteorological, oceanographic, and/or river flow rate forecasts and makes predictions about the future states of a water body. A forecast is usually initiated by the state of a nowcast.
CIOFS surface meteorological forcing conditions are based on the National Weather Service (NWS) North American Mesoscale (NAM) weather prediction model (for both nowcast and forecast). The National Centers for Environmental Prediction (NCEP)'s operational meteorological forecast products of Global Forecast System (GFS) are used as a backup when NAM products are not available.
CIOFS uses NCEP's Global Real-Time Ocean Forecast System (G-RTOFS) to produce lateral ocean open boundary conditions of water temperature, salinity and sub-tidal water levels, and Navy's operational global Hybird Coordinate Ocean Model (HYCOM) is used as a backup of RTOFS when RTOFS is not available. ADCIRC 2001 Tidal Database is used to generate CIOFS tidal open boundary forcing. Additionally, USGS real-time river discharge observations from 12 major river gauges are used to drive themodel.
The CIOFS uses orthogonal grid (lower right figure) with horizontal dimension of 1044 x 724. Its horizontal resolution ranges from 10 m within the estuaries and navigational channels to 3.5 km near offshore waters. The vertical grid follows the terrain and consists of 30 sigma levels. The bathymetry of the Cook Inlet is indicated on your left. Model bathymetry is populated from the best available data which include NOS sounding data, NGDC and NGS shoreline data, USGS topography gridded product. Digital Elevation Map (DEM) was used for wetting/drying process.
CIOFS runs on NOAA's High Performance Computing Systems (HPCS), the Weather Climate Operational Supercomputer System (WCOSS) under the NOS shared standard Coastal Ocean Modeling Framework (COMF) developed by CO-OPS. As a result, CIOFS has direct access to NWS operational meteorological products and real-time observations that are required to run CIOFS reliably. CIOFS runs four times (00z, 06z, 12z, and 18z UTC) per day with 6-hour nowcasts and 48-hour forecasts for each cycle.
CIOFS output is in NetCDF format. An archive of CIOFS NetCDF nowcast and forecast files can be accessed from CO-OPS THREDDS server.
All CO-OPS official real-time products, including nowcast and forecast guidance from CIOFS are monitored by the CO-OPS's Continuous Operational Real-Time Monitoring System (CORMS). CORMS provides 24 hour per day, 7 days per week monitoring and quality control of sensors and data in order to ensure the availability, accuracy, and quality of tide, water level, current, and other marine environmental information. CORMS is intended to identify invalid and erroneous data and information before application of the data by real-time and near real-time users.
Cook Inlet Operational Forecast System - NOAA Center for Operational Oceanographic Products and Services (ODIS id 2467)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://tidesandcurrents.noaa.gov/ofs/ciofs/ciofs.html | ||||
| Parent Project URL | https://tidesandcurrents.noaa.gov/ | ||||
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| English name | Cook Inlet Operational Forecast System - NOAA Center for Operational Oceanographic Products and Services | ||||
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| Acronym | CIOFS - NOAA-OC-OPS | ||||
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| Abstract | Oceanographic nowcasts and forecast guidance are scientific predictions about the present and future states of a water body (generally including water levels, currents, water temperature and salinity). These predictions rely on either near real-time observations or forecasts from large-scale numerical models. A nowcast incorporates recent (and often near real-time) observed meteorological, oceanographic, and/or river flow rate data and/or analyzed (e.g. gridded) meteorological and oceanographic products. A nowcast covers the period of time from the recent past (e.g., the past few days) to the present, and it can make predictions for locations where observational data are not available. Forecast guidance incorporates meteorological, oceanographic, and/or river flow rate forecasts and makes predictions about the future states of a water body. A forecast is usually initiated by the state of a nowcast. CIOFS surface meteorological forcing conditions are based on the National Weather Service (NWS) North American Mesoscale (NAM) weather prediction model (for both nowcast and forecast). The National Centers for Environmental Prediction (NCEP)'s operational meteorological forecast products of Global Forecast System (GFS) are used as a backup when NAM products are not available. CIOFS uses NCEP's Global Real-Time Ocean Forecast System (G-RTOFS) to produce lateral ocean open boundary conditions of water temperature, salinity and sub-tidal water levels, and Navy's operational global Hybird Coordinate Ocean Model (HYCOM) is used as a backup of RTOFS when RTOFS is not available. ADCIRC 2001 Tidal Database is used to generate CIOFS tidal open boundary forcing. Additionally, USGS real-time river discharge observations from 12 major river gauges are used to drive themodel. The CIOFS uses orthogonal grid (lower right figure) with horizontal dimension of 1044 x 724. Its horizontal resolution ranges from 10 m within the estuaries and navigational channels to 3.5 km near offshore waters. The vertical grid follows the terrain and consists of 30 sigma levels. The bathymetry of the Cook Inlet is indicated on your left. Model bathymetry is populated from the best available data which include NOS sounding data, NGDC and NGS shoreline data, USGS topography gridded product. Digital Elevation Map (DEM) was used for wetting/drying process. CIOFS runs on NOAA's High Performance Computing Systems (HPCS), the Weather Climate Operational Supercomputer System (WCOSS) under the NOS shared standard Coastal Ocean Modeling Framework (COMF) developed by CO-OPS. As a result, CIOFS has direct access to NWS operational meteorological products and real-time observations that are required to run CIOFS reliably. CIOFS runs four times (00z, 06z, 12z, and 18z UTC) per day with 6-hour nowcasts and 48-hour forecasts for each cycle. CIOFS output is in NetCDF format. An archive of CIOFS NetCDF nowcast and forecast files can be accessed from CO-OPS THREDDS server. All CO-OPS official real-time products, including nowcast and forecast guidance from CIOFS are monitored by the CO-OPS's Continuous Operational Real-Time Monitoring System (CORMS). CORMS provides 24 hour per day, 7 days per week monitoring and quality control of sensors and data in order to ensure the availability, accuracy, and quality of tide, water level, current, and other marine environmental information. CORMS is intended to identify invalid and erroneous data and information before application of the data by real-time and near real-time users. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - National Ocean Service - Center for Operational Oceanographic Products and Services | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Gulf of Alaska Themes: DS03 Physical oceanography Keywords: current speed and direction, forecast model output, forecasting system, salinity, water body, water level, water temperature
Last updated: 29/09/2021
Cook Inlet Response Tool - Alaska Ocean Observing System (ODIS id: 2750)
https://aoos.org/project-page/projects-marine-operations/cook-inlet-response-tool/
The Cook Inlet Response Tool (CIRT) is a data integration & visualization product designed to assist ...
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Cook Inlet Response Tool - Alaska Ocean Observing System
The Cook Inlet Response Tool (CIRT) is a data integration & visualization product designed to assist responders in the event of an oil spill or other event. This interactive web-based tool combines:
- GIS spatial data layers,
- Real time observations,
- Model nowcast/forecasts for winds, waves, and ocean circulation,
- ShoreZone video and imagery.
The tool was developed in collaboration with the Cook Inlet Regional Citizens' Advisory Council (CIRCAC), the Alaska Ocean Observing System (AOOS), and the National Oceanic and Atmospheric Administration (NOAA).
Cook Inlet was selected for the demonstration project because many of the needed datasets are mature, and the area is tractable. The application is scalable so that other areas in Alaska and the nation will benefit.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://aoos.org/project-page/projects-marine-operations/cook-inlet-response-tool/ | ||||
| Parent Project URL | https://aoos.org/ | ||||
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| English name | Cook Inlet Response Tool - Alaska Ocean Observing System | ||||
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| Acronym | CIR Tool - AOOS | ||||
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| Abstract | The Cook Inlet Response Tool (CIRT) is a data integration & visualization product designed to assist responders in the event of an oil spill or other event. This interactive web-based tool combines: - GIS spatial data layers, - Real time observations, - Model nowcast/forecasts for winds, waves, and ocean circulation, - ShoreZone video and imagery. The tool was developed in collaboration with the Cook Inlet Regional Citizens' Advisory Council (CIRCAC), the Alaska Ocean Observing System (AOOS), and the National Oceanic and Atmospheric Administration (NOAA). Cook Inlet was selected for the demonstration project because many of the needed datasets are mature, and the area is tractable. The application is scalable so that other areas in Alaska and the nation will benefit. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Gulf of Alaska Themes: DS03 Physical oceanography, DS10 Environment, DS12 Human activities Keywords: Geospatial data, coastal monitoring, data products, data services, data visualization, map animations
Last updated: 30/10/2021
Copernicus Marine Environment Monitoring Service - In Situ Thematic Assembly Centre (ODIS id: 354)
http://www.marineinsitu.eu/
The Copernicus Marine Service (CMEMS), led by Mercator-Ocean is based on a distributed model of serv ...
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Copernicus Marine Environment Monitoring Service - In Situ Thematic Assembly Centre
The Copernicus Marine Service (CMEMS), led by Mercator-Ocean is based on a distributed model of service production, relying on the expertise of a wide network of participating European organisations involved in operational oceanography.
The Service encompasses two kinds of production centres:
• 1. Monitoring and Forecasting Centres (MFCs), charged with maintaining numerical models of the ocean. There are seven MFCs: six for regional seas and one for the global ocean
• 2. Thematic Assembly Centres (TAC), which are tasked with the collection of ocean observations, both in situ (water column) and satellite observations.
The In Situ TAC is the component of the Copernicus Marine Service which ensures consistent and reliable access to a range of in situ data for the purpose of service production and validation.
In Situ TAC has two main objectives:
• 1. To collect multi-source, multi-platform, heterogeneous data, perform consistent quality control and distribute it in a common format (NetCDF) and in near-real-time (within 24 hours) to the CMEMS Marine Forecasting Centres (MFC), for assimilation into their numerical ocean models.
• 2. To supply the MFCs and downstream users with re-processed 25-50-year products in delayed mode. In addition to the near-real-time products, these delayed-mode products are useful for model validation or assimilation in ocean reanalysis and climate studies
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| Submitter/Owner | Mr. Loic Petit de la Villeon ( OceanExpert : 13124 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | http://www.marineinsitu.eu/ | ||||
| Parent Project URL | http://marine.copernicus.eu/ | ||||
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| English name | Copernicus Marine Environment Monitoring Service - In Situ Thematic Assembly Centre | ||||
| Original (non-English) name | IN SITU Thematic Assembling Centre for the Copernicus Marine Environmental Monitoring Service | ||||
| Acronym | CMEMS-INSTAC | ||||
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| Abstract | The Copernicus Marine Service (CMEMS), led by Mercator-Ocean is based on a distributed model of service production, relying on the expertise of a wide network of participating European organisations involved in operational oceanography. The Service encompasses two kinds of production centres: • 1. Monitoring and Forecasting Centres (MFCs), charged with maintaining numerical models of the ocean. There are seven MFCs: six for regional seas and one for the global ocean • 2. Thematic Assembly Centres (TAC), which are tasked with the collection of ocean observations, both in situ (water column) and satellite observations. The In Situ TAC is the component of the Copernicus Marine Service which ensures consistent and reliable access to a range of in situ data for the purpose of service production and validation. In Situ TAC has two main objectives: • 1. To collect multi-source, multi-platform, heterogeneous data, perform consistent quality control and distribute it in a common format (NetCDF) and in near-real-time (within 24 hours) to the CMEMS Marine Forecasting Centres (MFC), for assimilation into their numerical ocean models. • 2. To supply the MFCs and downstream users with re-processed 25-50-year products in delayed mode. In addition to the near-real-time products, these delayed-mode products are useful for model validation or assimilation in ocean reanalysis and climate studies | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Mercator Océan | ||||
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Languages: English Countries: Bulgaria, Germany, Spain, France, United Kingdom, GLOBAL, Greece, Italy, Norway, REGIONAL, Sweden Host Countries: France, GLOBAL Sea Region: World Themes: DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Chlorophyll, Ocean Observing System, Sea surface temperature, ocean carbon, ocean currents, operational oceanography, oxygen, salinity, tides, waves
Last updated: 02/10/2021
COPERNICUS OCEAN MONITORING INDICATORS (OMI) (ODIS id: 385)
http://marine.copernicus.eu/science-learning/ocean-monitoring-indicators/
Ocean Monitoring Indicators (OMIs) are free downloadable trends and data sets covering the past quar ...
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COPERNICUS OCEAN MONITORING INDICATORS (OMI)
Ocean Monitoring Indicators (OMIs) are free downloadable trends and data sets covering the past quarter of a century. These are key variables used to track the vital health signs of the ocean and changes in line with climate change. Knowing how much heat is stored in the ocean, the pH of the ocean, how fast the sea levels are rising and sea ice is melting, is essential to understanding the current state and changes in the ocean and climate. This information is critical for assessing and confronting oceanic and atmospheric changes associated with global warming and they can be used by scientists, decision-makers, environmental agencies, the general public, and in measuring our responses to environmental directives. The OMIs expand the Copernicus Marine Service portfolio to provide not only ocean data products but also key reference information on the state of the ocean.
INDICATORS: ocean heat content; sea level; sea ice; ocean health [including seawater pH] ; temperature and salinity;
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://marine.copernicus.eu/science-learning/ocean-monitoring-indicators/ | ||||
| Parent Project URL | http://marine.copernicus.eu/ | ||||
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| English name | COPERNICUS OCEAN MONITORING INDICATORS (OMI) | ||||
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| Acronym | CMEMS-OMIs | ||||
| Citation | The different ways to mention (credit) the E.U Copernicus Marine Service are available paragraph 2.4 of the CMEMS Licence, for answering all kind of use by the users of the CMEMS information. | ||||
| Abstract | Ocean Monitoring Indicators (OMIs) are free downloadable trends and data sets covering the past quarter of a century. These are key variables used to track the vital health signs of the ocean and changes in line with climate change. Knowing how much heat is stored in the ocean, the pH of the ocean, how fast the sea levels are rising and sea ice is melting, is essential to understanding the current state and changes in the ocean and climate. This information is critical for assessing and confronting oceanic and atmospheric changes associated with global warming and they can be used by scientists, decision-makers, environmental agencies, the general public, and in measuring our responses to environmental directives. The OMIs expand the Copernicus Marine Service portfolio to provide not only ocean data products but also key reference information on the state of the ocean. INDICATORS: ocean heat content; sea level; sea ice; ocean health [including seawater pH] ; temperature and salinity; | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Mercator Océan | ||||
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Languages: English Countries: GLOBAL Host Countries: GLOBAL Sea Region: Amundsen Sea, Arctic Ocean, Atlantic Ocean, Baltic Sea, Bay of Biscay, Bellingshausen Sea, Black Sea, Cooperation Sea, Cosmonauts Sea, Davis Sea, Dumont D'Urville Sea, Lazarev Sea, Mawson Sea, Mediterranean Sea, Riiser-Larsen Sea, Ross Sea, Scotia Sea, Somov Sea, Weddell Sea, World Themes: DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Static maps, climate variability, ocean currents, ocean health, ocean heat content, sea ice, sea level, sea state, sea water salinity, sea water temperature, water mass and heat exchange
Last updated: 02/10/2021
Core Instrument Analytical Results - Ocean Observatories Initiative (ODIS id: 470)
https://oceanobservatories.org/core-instrument-analytical-results/
The Core Instrument Analytical Results data repository contains processed analytical data and metada ...
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Core Instrument Analytical Results - Ocean Observatories Initiative
The Core Instrument Analytical Results data repository contains processed analytical data and metadata for a subset of Cabled Array instruments that collect fluid or particulate samples that are brought back to shore and analyzed in a laboratory. These instruments are described briefly below, along with links to their respective data files. Numerical and other processed analytical results are generally provided in spreadsheet form. Associated metadata files including analytical protocols, sampling and recovery notes, and sample log files are presented in .pdf format. As-deployed images of instruments are provided in .jpg format, with image metadata summarized in spreadsheet-based catalogs.
Osmosis-based Water Sampler (OSMOI) Data – This instrument class provides a long-term sampling of diffuse and/or pore fluids at the seabed by drawing those fluids into small-bore, capillary tubing. The instrument currently deployed at Southern Hydrate Ridge samples pore fluids associated with methane seeps, while the instrument at the ASHES vent field on Axial Seamount is collocated with the 3-D Temperature Array (TMPSF) and samples diffuse fluids associated with the hydrothermal flow. After instrument recovery, laboratory analyses provide major/trace element chemistry of these fluid samples.
Hydrothermal Vent Fluid Interactive Sampler (RASFL) Data – This instrument collects fluid samples from hydrothermal vents at the International District Vent Field on Axial Seamount. It is collocated with the Particulate DNA Sampler (PPSDN; see below) and has an onboard temperature sensor (D1000) which continuously measures vent fluid temperatures. The sampler is able to be interactive, as its connection to the fiber optic cable allows two-way communication and power. Sample bottles can be triggered from shore in response to volcanic or tectonic events or set to trigger at specified intervals. After instrument recovery, laboratory analyses provide a chemical characterization of the hydrothermal fluid samples.
Particulate DNA Sampler (PPSDN) Data – This instrument filters and preserves the particulate matter associated with venting hydrothermal fluids at the International District Vent Field on Axial Seamount. The instrument is collocated with the Hydrothermal Vent Fluid Interactive Sampler (RASFL; see above) and can be similarly controlled remotely in response to volcanic or tectonic events. Upon recovery, genetic analysis of the particulates provides information on the microbial communities associated with hydrothermal vents.
Benthic Fluid Flow (FLOBN-C) Data – This instrument measures fluid flow at the sediment-water interface by monitoring the dilution of a chemical tracer injected into fluids at the seabed and collected in small-bore, capillary tubing by osmotic pumps. The “C” series of this instrument is a Chemical and Aqueous Transport (CAT) meter, and is deployed on or near methane seeps at the Southern Hydrate Ridge seabed. The recovered fluids are analyzed for chemical tracer and major ion concentrations, and flow rates are calculated.
Benthic Fluid Flow (FLOBN-M) Data – This instrument measures fluid flow at the sediment-water interface by monitoring the dilution of a chemical tracer injected into pore fluids below the seabed and collected in small-bore, capillary tubing by osmotic pumps. The “M” series of this instrument is a Multiple Orifice Sampler and Quantitative Injection Tracer Observer (MOSQUITO), and is deployed on or near methane seeps at the Southern Hydrate Ridge seabed. The recovered fluids are analyzed for chemical tracer and major ion concentrations, and flow rates are calculated.
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| Submitter/Owner | Sawyer Newman ( OceanExpert : 65989 ) | ||||
| Submitter/Owner Role | Other | ||||
| Datasource URL | https://oceanobservatories.org/core-instrument-analytical-results/ | ||||
| Parent Project URL | https://oceanobservatories.org/ | ||||
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| English name | Core Instrument Analytical Results - Ocean Observatories Initiative | ||||
| Original (non-English) name | |||||
| Acronym | Core Instrument Analytical Results - OOI | ||||
| Citation | For references/bibliography, OOI’s recommended citation format is based on the Earth Science Information Partners (ESIP) format, adopted by journals in relevant professional societies such as the American Geophysical Union (AGU) and the American Meteorological Society (AMS). For a data availability statement in a publication, consider how best to direct the reader/reviewer to the data by directly linking to the data or providing information to get to the data efficiently. Recommended citation format: NSF Ocean Observatories Initiative. ([date or year published]). [Platform title] [[Instrument(s) and/or data product(s) (reference designators, if applicable) data from [start date] to [end date]. [Repository]. [URL]]. [Platform DOI]. Accessed on [date accessed]. Full citation guidance can be found here: https://oceanobservatories.org/how-to-use-acknowledge-and-cite-data/ | ||||
| Abstract | The Core Instrument Analytical Results data repository contains processed analytical data and metadata for a subset of Cabled Array instruments that collect fluid or particulate samples that are brought back to shore and analyzed in a laboratory. These instruments are described briefly below, along with links to their respective data files. Numerical and other processed analytical results are generally provided in spreadsheet form. Associated metadata files including analytical protocols, sampling and recovery notes, and sample log files are presented in .pdf format. As-deployed images of instruments are provided in .jpg format, with image metadata summarized in spreadsheet-based catalogs. Osmosis-based Water Sampler (OSMOI) Data – This instrument class provides a long-term sampling of diffuse and/or pore fluids at the seabed by drawing those fluids into small-bore, capillary tubing. The instrument currently deployed at Southern Hydrate Ridge samples pore fluids associated with methane seeps, while the instrument at the ASHES vent field on Axial Seamount is collocated with the 3-D Temperature Array (TMPSF) and samples diffuse fluids associated with the hydrothermal flow. After instrument recovery, laboratory analyses provide major/trace element chemistry of these fluid samples. Hydrothermal Vent Fluid Interactive Sampler (RASFL) Data – This instrument collects fluid samples from hydrothermal vents at the International District Vent Field on Axial Seamount. It is collocated with the Particulate DNA Sampler (PPSDN; see below) and has an onboard temperature sensor (D1000) which continuously measures vent fluid temperatures. The sampler is able to be interactive, as its connection to the fiber optic cable allows two-way communication and power. Sample bottles can be triggered from shore in response to volcanic or tectonic events or set to trigger at specified intervals. After instrument recovery, laboratory analyses provide a chemical characterization of the hydrothermal fluid samples. Particulate DNA Sampler (PPSDN) Data – This instrument filters and preserves the particulate matter associated with venting hydrothermal fluids at the International District Vent Field on Axial Seamount. The instrument is collocated with the Hydrothermal Vent Fluid Interactive Sampler (RASFL; see above) and can be similarly controlled remotely in response to volcanic or tectonic events. Upon recovery, genetic analysis of the particulates provides information on the microbial communities associated with hydrothermal vents. Benthic Fluid Flow (FLOBN-C) Data – This instrument measures fluid flow at the sediment-water interface by monitoring the dilution of a chemical tracer injected into fluids at the seabed and collected in small-bore, capillary tubing by osmotic pumps. The “C” series of this instrument is a Chemical and Aqueous Transport (CAT) meter, and is deployed on or near methane seeps at the Southern Hydrate Ridge seabed. The recovered fluids are analyzed for chemical tracer and major ion concentrations, and flow rates are calculated. Benthic Fluid Flow (FLOBN-M) Data – This instrument measures fluid flow at the sediment-water interface by monitoring the dilution of a chemical tracer injected into pore fluids below the seabed and collected in small-bore, capillary tubing by osmotic pumps. The “M” series of this instrument is a Multiple Orifice Sampler and Quantitative Injection Tracer Observer (MOSQUITO), and is deployed on or near methane seeps at the Southern Hydrate Ridge seabed. The recovered fluids are analyzed for chemical tracer and major ion concentrations, and flow rates are calculated. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Woods Hole Oceanographic Institution | ||||
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Languages: English Countries: GLOBAL Host Countries: United States Sea Region: Atlantic Ocean, Pacific Ocean Themes: DS02 Chemical oceanography, DS04 Marine geology Keywords: Hydrothermal Vent Fluid Interactive Sampler, Osmosis-based Water Sampler, Particulate DNA Sampler, benthos, chemical oceanography, data portal, deep sea, hydrothermal flow, metadata, oceanographic data, volcanic and tectonic events
Last updated: 18/03/2026
Coriolis data centre (ODIS id: 353)
http://www.coriolis.eu.org
CORIOLIS contributes to the French operational oceanography program for the in-situ observations. Th ...
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Coriolis data centre
CORIOLIS contributes to the French operational oceanography program for the in-situ observations. The 7 institutes involved in operational oceanography in France (CNES, CNRS, Ifremer, IPEV, IRD, Météo-France, Shom) decided in 2001 to joint their efforts within Coriolis in order to :
• organize and maintain data acquisition in a real-time and delayed mode of in-situ measurements necessary for operational oceanography.
• set up an operational in-situ data centre,
• develop and improve the technology necessary for operational oceanography.
Its objective is to develop continuous, automatic, and permanent observation networks. The data collected will enable water properties to be mapped, such as temperature, and ocean circulation.
The importance of Coriolis is visible through the applications that are developed based on these data :
1. Coriolis, Myocean and the COPERNICUS Marine Core service: COPERNICUS is a major European initiative to monitor the state of earth's environment, support policy decisions, and provide a wide range of services to users. MyOcean is the first project of the ocean component of COPERNICUS, the so-called COPERNICUS Marine Core Service. Coriolis coordinates the MyOcean in-situ Thematic Assembly Center and provides in-situ data needed to constrain and validate the MyOcean global and regional Modelling and Forecasting Centers
2. Ocean variability inferred from in-situ data: The global ocean plays a major role in the Earth’s climate. One way of observing and understanding the Earth’s energy balance is to evaluate the average temperature change from the surface down to the deep ocean – the so called ocean heat content. Monthly gridded global temperature fields based on in-situ measurements have been used to estimate global mean heat content variations. A clear trend of the heat content during the past years has been highlighted using in-situ data.
3. new autonomous platforms to observe marine ecosystems: Marine ecosystems are a key component of the Earth system. Their evolution can now be monitored and analyzed thanks to biogeochemical sensors. Specifically designed for autonomous platforms, these sensors are able to measure biogeochemical parameters such as chlorophyll concentration and its vertical distribution. They have been demonstrated on Gliders and new Argo floats called PROVBIO.
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| Submitter/Owner | Mr. Loic Petit de la Villeon ( OceanExpert : 13124 ) | ||||
| Submitter/Owner Role | IODE NODC | ||||
| Datasource URL | http://www.coriolis.eu.org | ||||
| Parent Project URL | https://wwz.ifremer.fr/ | ||||
| ODIS-Arch URL | |||||
| ODIS-Arch Type | |||||
| English name | Coriolis data centre | ||||
| Original (non-English) name | Coriolis data centre | ||||
| Acronym | Coriolis | ||||
| Citation | |||||
| Abstract | CORIOLIS contributes to the French operational oceanography program for the in-situ observations. The 7 institutes involved in operational oceanography in France (CNES, CNRS, Ifremer, IPEV, IRD, Météo-France, Shom) decided in 2001 to joint their efforts within Coriolis in order to : • organize and maintain data acquisition in a real-time and delayed mode of in-situ measurements necessary for operational oceanography. • set up an operational in-situ data centre, • develop and improve the technology necessary for operational oceanography. Its objective is to develop continuous, automatic, and permanent observation networks. The data collected will enable water properties to be mapped, such as temperature, and ocean circulation. The importance of Coriolis is visible through the applications that are developed based on these data : 1. Coriolis, Myocean and the COPERNICUS Marine Core service: COPERNICUS is a major European initiative to monitor the state of earth's environment, support policy decisions, and provide a wide range of services to users. MyOcean is the first project of the ocean component of COPERNICUS, the so-called COPERNICUS Marine Core Service. Coriolis coordinates the MyOcean in-situ Thematic Assembly Center and provides in-situ data needed to constrain and validate the MyOcean global and regional Modelling and Forecasting Centers 2. Ocean variability inferred from in-situ data: The global ocean plays a major role in the Earth’s climate. One way of observing and understanding the Earth’s energy balance is to evaluate the average temperature change from the surface down to the deep ocean – the so called ocean heat content. Monthly gridded global temperature fields based on in-situ measurements have been used to estimate global mean heat content variations. A clear trend of the heat content during the past years has been highlighted using in-situ data. 3. new autonomous platforms to observe marine ecosystems: Marine ecosystems are a key component of the Earth system. Their evolution can now be monitored and analyzed thanks to biogeochemical sensors. Specifically designed for autonomous platforms, these sensors are able to measure biogeochemical parameters such as chlorophyll concentration and its vertical distribution. They have been demonstrated on Gliders and new Argo floats called PROVBIO. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Institut Français de Recherche pour l'Exploitation de la Mer, Ifremer, Centre de Bretagne | ||||
| Technical notes | The coriolis system is aiming in providing an ocean data service at a global level. So most of the countries contributing to the ocean observation are potential data sources | ||||
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Languages: English, French Countries: Australia, Belgium, Canada, China, Germany, Denmark, Spain, Finland, France, United Kingdom, GLOBAL, Greece, India, Italy, Japan, Netherlands, Norway, REGIONAL, Russia, Sweden, Turkey, United States Host Countries: France, GLOBAL Sea Region: World Themes: DS03 Physical oceanography Keywords: Marine, Ocean Observing System, Sea surface temperature, ocean circulation, ocean currents, operational oceanography, oxygen, salinity, sea level
Last updated: 28/11/2021
Coriolis Ocean Dataset for Reanalysis (CORA) (ODIS id: 801)
http://www.coriolis.eu.org/Data-Products/Products/CORA
The CORA dataset (Coriolis Ocean Dataset for Reanalysis) aims to diffuse all types of in-situ temper ...
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Coriolis Ocean Dataset for Reanalysis (CORA)
The CORA dataset (Coriolis Ocean Dataset for Reanalysis) aims to diffuse all types of in-situ temperature and salinity measurements with a maximal sampling, including high frequency profilers (ARGO, CTD, etc...) surface and sub-surface timeseries (Thermosalinographs and surface drifters, etc...). The current version of the CORA dataset (CORA5.0) stands out from the previous version by the intake of millions profiles from the historical period (1950-1990) and the intake of year 2015 profiles from Coriolis. A very careful validation process is performed on the CORA measurements since the probably erroneous profiles are individually checked by an oceanographer which changes the data quality flags if necessary. This work flow reduces the amount of unnecessary flags leading to a better estimation of the ocean variability. Last, a correction is applied on the XBT measurement depth following the method bu Hamon et al. 2012. The CORA dataset is distributed by the Copernicus Marine and Environement Service online catalogue: Product User Manual and Documentation are also distributed by Copernicus.
This datasets diffuses all types of in situ temperature and salinity measurements with a maximal sampling including high frequency profilers ARGO CTD etc... surface and sub surface timeseries Thermosalinographs and surface drifters etc...
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| Submitter/Owner | stat unescap ( OceanExpert : 41443 ) | ||||
| Submitter/Owner Role | ESCAP | ||||
| Datasource URL | http://www.coriolis.eu.org/Data-Products/Products/CORA | ||||
| Parent Project URL | https://wwz.ifremer.fr/ | ||||
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| English name | Coriolis Ocean Dataset for Reanalysis (CORA) | ||||
| Original (non-English) name | |||||
| Acronym | CORA | ||||
| Citation | Cabanes, C., A. Grouazel, K. von Schuckmann, M. Hamon, V. Turpin, C. Coatanoan, F. Paris, S. Guinehut, C. Boone, N. Ferry, C. de Boyer Montégut, T. Carval, G. Reverdin, S. Pouliquen, and P. Y. Le Traon, 2013: The CORA dataset: validation and diagnostics of in-situ ocean temperature and salinity measurements. Ocean Science, 9, 1-18, http://www.ocean-sci.net/9/1/2013/os-9-1-2013.html, doi:10.5194/os-9-1-2013. | ||||
| Abstract | The CORA dataset (Coriolis Ocean Dataset for Reanalysis) aims to diffuse all types of in-situ temperature and salinity measurements with a maximal sampling, including high frequency profilers (ARGO, CTD, etc...) surface and sub-surface timeseries (Thermosalinographs and surface drifters, etc...). The current version of the CORA dataset (CORA5.0) stands out from the previous version by the intake of millions profiles from the historical period (1950-1990) and the intake of year 2015 profiles from Coriolis. A very careful validation process is performed on the CORA measurements since the probably erroneous profiles are individually checked by an oceanographer which changes the data quality flags if necessary. This work flow reduces the amount of unnecessary flags leading to a better estimation of the ocean variability. Last, a correction is applied on the XBT measurement depth following the method bu Hamon et al. 2012. The CORA dataset is distributed by the Copernicus Marine and Environement Service online catalogue: Product User Manual and Documentation are also distributed by Copernicus. This datasets diffuses all types of in situ temperature and salinity measurements with a maximal sampling including high frequency profilers ARGO CTD etc... surface and sub surface timeseries Thermosalinographs and surface drifters etc... | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Institut Français de Recherche pour l'Exploitation de la Mer, Ifremer, Centre de Bretagne | ||||
| Technical notes | NetCDF | ||||
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Languages: English Countries: GLOBAL Host Countries: France, GLOBAL Sea Region: World Themes: DS02 Chemical oceanography, DS03 Physical oceanography Keywords: Ocean Observing System, operational oceanography, reanalysis
Last updated: 09/10/2021
Coupled Northwest Atlantic Prediction System (ODIS id: 2648)
http://omgsrv1.meas.ncsu.edu:8080/CNAPS/
This nowcast/forecast system is a research product developed and maintained by the Ocean Observing a ...
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Coupled Northwest Atlantic Prediction System
This nowcast/forecast system is a research product developed and maintained by the Ocean Observing and Modeling Group at North Carolina State University.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://omgsrv1.meas.ncsu.edu:8080/CNAPS/ | ||||
| Parent Project URL | http://omgsrv1.meas.ncsu.edu:8080/CNAPS/ | ||||
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| English name | Coupled Northwest Atlantic Prediction System | ||||
| Original (non-English) name | |||||
| Acronym | CNAPS | ||||
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| Abstract | This nowcast/forecast system is a research product developed and maintained by the Ocean Observing and Modeling Group at North Carolina State University. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | North Carolina State University | ||||
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Languages: English Countries: REGIONAL Host Countries: United States Sea Region: Atlantic Ocean, Caribbean Sea, Gulf of Mexico Themes: DS03 Physical oceanography Keywords: forecast model output, forecasting system, waves, weather foreast
Last updated: 18/10/2021
Cruise List - Falkor SADCP of Schmidt Ocean Institute (ODIS id: 2138)
https://currents.soest.hawaii.edu/falkor/global_list/1/index.html
The R/V Falkor is funded by Schmidt Ocean Institute, and supports oceanographic research and technol ...
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Cruise List - Falkor SADCP of Schmidt Ocean Institute
The R/V Falkor is funded by Schmidt Ocean Institute, and supports oceanographic research and technology development by providing a platform for these activities.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://currents.soest.hawaii.edu/falkor/global_list/1/index.html | ||||
| Parent Project URL | https://schmidtocean.org/rv-falkor/ | ||||
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| English name | Cruise List - Falkor SADCP of Schmidt Ocean Institute | ||||
| Original (non-English) name | |||||
| Acronym | Cruise List - Falkor SADCP-SOI | ||||
| Citation | |||||
| Abstract | The R/V Falkor is funded by Schmidt Ocean Institute, and supports oceanographic research and technology development by providing a platform for these activities. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: World Themes: DS03 Physical oceanography Keywords: data access, data products, marine science, oceanographic data, open access, reports, research vessel
Last updated: 28/06/2021
Currents Forecast - Pacific Islands Ocean Observing System (ODIS id: 2582)
http://www.pacioos.hawaii.edu/currents-category/model/
PacIOOS’ Regional Ocean Modeling System (ROMS) provides a 7-day, 3-hourly forecast for the region ...
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Currents Forecast - Pacific Islands Ocean Observing System
PacIOOS’ Regional Ocean Modeling System (ROMS) provides a 7-day, 3-hourly forecast for the region surrounding the main Hawaiian Islands at approximately 4-km (2.5-mile) resolution. The forecast is run daily and gets updated on this website around 1:30 PM Hawaiʻi Standard Time (UTC-10) every afternoon. ROMS (http://myroms.org) is an open source, community-supported model widely adopted by the scientific community for a diverse range of applications. Model runs are configured and produced for the Hawaiʻi region by Dr. Brian Powell and lab within the Department of Oceanography in the School of Ocean and Earth Science and Technology (SOEST) at the University of Hawaiʻi at Mānoa.
Boundary conditions are provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing is generated by the Weather Research and Forecasting (WRF) model for the region surrounding the main Hawaiian Islands (wrf_hi) at approximately 6-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Furthermore, data are assimilated over the previous 3 days using all available observations to improve the model estimate of the current ocean state before forecasts are run. Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; surface currents from PacIOOS high-frequency radios (HFR); and in-situ water temperature and salinity profiles from ARGO floats and ocean glider autonomous underwater vehicles (AUV).
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.pacioos.hawaii.edu/currents-category/model/ | ||||
| Parent Project URL | http://www.pacioos.hawaii.edu/ | ||||
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| English name | Currents Forecast - Pacific Islands Ocean Observing System | ||||
| Original (non-English) name | |||||
| Acronym | Currents Forecast - PacIOOS | ||||
| Citation | Suggested data citation: Powell, B.S. 2010, updated 2015. Regional Ocean Modeling System (ROMS): Main Hawaiian Islands. [Indicate temporal subset used.] Distributed by the Pacific Islands Ocean Observing System (PacIOOS). http://pacioos.org/metadata/roms_hiig.html. Accessed [date]. | ||||
| Abstract | PacIOOS’ Regional Ocean Modeling System (ROMS) provides a 7-day, 3-hourly forecast for the region surrounding the main Hawaiian Islands at approximately 4-km (2.5-mile) resolution. The forecast is run daily and gets updated on this website around 1:30 PM Hawaiʻi Standard Time (UTC-10) every afternoon. ROMS (http://myroms.org) is an open source, community-supported model widely adopted by the scientific community for a diverse range of applications. Model runs are configured and produced for the Hawaiʻi region by Dr. Brian Powell and lab within the Department of Oceanography in the School of Ocean and Earth Science and Technology (SOEST) at the University of Hawaiʻi at Mānoa. Boundary conditions are provided by the global, 1/12-degree (~9-km) HYbrid Coordinate Ocean Model (HYCOM). Atmospheric forcing is generated by the Weather Research and Forecasting (WRF) model for the region surrounding the main Hawaiian Islands (wrf_hi) at approximately 6-km resolution. Tide forcing uses the Oregon State University (OSU) Tidal Prediction Software (OTPS) TOPEX/Poseidon global inverse solution (TPXO) to derive barotropic tidal elevation and velocity. Furthermore, data are assimilated over the previous 3 days using all available observations to improve the model estimate of the current ocean state before forecasts are run. Assimilated observations may include satellite-based sea surface temperatures from MODIS, AVHRR, or OSTIA; satellite-based sea surface height from AVISO; surface currents from PacIOOS high-frequency radios (HFR); and in-situ water temperature and salinity profiles from ARGO floats and ocean glider autonomous underwater vehicles (AUV). | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Pacific Islands Ocean Observing System | ||||
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Languages: English Countries: REGIONAL Host Countries: REGIONAL Sea Region: Pacific Ocean Themes: DS03 Physical oceanography Keywords: current pattern, current speed and direction, forecast model output
Last updated: 29/11/2021
Current Water Data for the Nation - US Geological Survey's National Water Information System (ODIS id: 2723)
https://waterdata.usgs.gov/nwis/rt
Current data typically are recorded at 15- to 60-minute intervals, stored onsite, and then transmitt ...
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Current Water Data for the Nation - US Geological Survey's National Water Information System
Current data typically are recorded at 15- to 60-minute intervals, stored onsite, and then transmitted to USGS offices every 1 to 4 hours, depending on the data relay technique used. Recording and transmission times may be more frequent during critical events. Data from current sites are relayed to USGS offices via satellite, telephone, and/or radio telemetry and are available for viewing within minutes of arrival.
All real-time data are provisional and subject to revision.
Current Water Data for the Nation - US Geological Survey's National Water Information System (ODIS id 2723)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://waterdata.usgs.gov/nwis/rt | ||||
| Parent Project URL | https://www.usgs.gov/ | ||||
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| English name | Current Water Data for the Nation - US Geological Survey's National Water Information System | ||||
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| Acronym | Current Water Data for the Nation - USGS National Water Information System | ||||
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| Abstract | Current data typically are recorded at 15- to 60-minute intervals, stored onsite, and then transmitted to USGS offices every 1 to 4 hours, depending on the data relay technique used. Recording and transmission times may be more frequent during critical events. Data from current sites are relayed to USGS offices via satellite, telephone, and/or radio telemetry and are available for viewing within minutes of arrival. All real-time data are provisional and subject to revision. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: no searegion defined Themes: DS10 Environment Keywords: current pattern, current speed and direction, data products, river flow, rivers
Last updated: 26/10/2021
Cyprus Coastal Ocean Forecasting and Observing System (ODIS id: 2406)
http://www.oceanography.ucy.ac.cy/cycofos/
We would like to bring to your attention the products and results of the Cyprus Coastal Ocean Foreca ...
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Cyprus Coastal Ocean Forecasting and Observing System
We would like to bring to your attention the products and results of the Cyprus Coastal Ocean Forecasting and Observing System (CYCOFOS), a sub-regional forecasting and observing system in the Eastern Mediterranean Levantine Basin, which covers the coastal and open sea areas of Cyprus, Cilician and Lattakian basins and the Eastern Levantine Base.
CYCOFOS was initially developed in early 2002. CYCOFOS follows the developments of European research projects developing and promoting the operational oceanography, such as the MFSPP, MFSTEP, MAMA, MERSEA, ECOOP, MyOcean. CYCOFOS is related also to operational oceanographic initiatives, such as EuroGOOS, MONGOOS, MedGLOSS and Copernicus-GMES.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | http://www.oceanography.ucy.ac.cy/cycofos/ | ||||
| Parent Project URL | http://www.oceanography.ucy.ac.cy/ | ||||
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| English name | Cyprus Coastal Ocean Forecasting and Observing System | ||||
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| Acronym | CYCOFOS | ||||
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| Abstract | We would like to bring to your attention the products and results of the Cyprus Coastal Ocean Forecasting and Observing System (CYCOFOS), a sub-regional forecasting and observing system in the Eastern Mediterranean Levantine Basin, which covers the coastal and open sea areas of Cyprus, Cilician and Lattakian basins and the Eastern Levantine Base. CYCOFOS was initially developed in early 2002. CYCOFOS follows the developments of European research projects developing and promoting the operational oceanography, such as the MFSPP, MFSTEP, MAMA, MERSEA, ECOOP, MyOcean. CYCOFOS is related also to operational oceanographic initiatives, such as EuroGOOS, MONGOOS, MedGLOSS and Copernicus-GMES. | ||||
| Technical contact email | please check the record details page | ||||
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Languages: English Countries: Cyprus Host Countries: Cyprus Sea Region: Mediterranean Region Themes: DS03 Physical oceanography Keywords: forecasting system, observational oceanography, observing system, operational oceanography
Last updated: 05/02/2022
Daily sst and chla satellite - Central and Northern Californian Ocean Observing System (ODIS id: 2526)
https://www.cencoos.org/observations/satellites/sst-and-chla-satellite/
Data collected by satellites provides a unique and unmatched view of the oceans. However, cloud cove ...
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Daily sst and chla satellite - Central and Northern Californian Ocean Observing System
Data collected by satellites provides a unique and unmatched view of the oceans. However, cloud cover can reduce the coverage, leaving often large gaps with each satellite pass. One solution is to create composite images by blending multiple days worth of data. Here, we are showing the most recent 8-day composite of SST and Chlorophyll-a from Aqua MODIS, courtesy of the NOAA CoastWatch West Coast Regional Node.
Toggle between SST (sea surface temperature) and Chlorophyll-a by clicking the buttons.
Daily sst and chla satellite - Central and Northern Californian Ocean Observing System (ODIS id 2526)
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.cencoos.org/observations/satellites/sst-and-chla-satellite/ | ||||
| Parent Project URL | https://www.cencoos.org/ | ||||
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| English name | Daily sst and chla satellite - Central and Northern Californian Ocean Observing System | ||||
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| Acronym | Daily sst and chla satellite - CeNCOOS | ||||
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| Abstract | Data collected by satellites provides a unique and unmatched view of the oceans. However, cloud cover can reduce the coverage, leaving often large gaps with each satellite pass. One solution is to create composite images by blending multiple days worth of data. Here, we are showing the most recent 8-day composite of SST and Chlorophyll-a from Aqua MODIS, courtesy of the NOAA CoastWatch West Coast Regional Node. Toggle between SST (sea surface temperature) and Chlorophyll-a by clicking the buttons. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | NOAA - National Ocean Service - Integrated Ocean Observing System | ||||
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Languages: English Countries: United States Host Countries: United States Sea Region: Pacific Ocean Themes: DS03 Physical oceanography Keywords: Chlorophyll, Sea surface temperature, data collection, satellite data
Last updated: 05/10/2021
Data - Group For High Resolution Sea Surface Temperature (ODIS id: 786)
https://www.ghrsst.org/ghrsst-data-services/services/
The Group for High-Resolution Sea Surface Temperature (SST) (GHRSST) provides a new generation of gl ...
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Data - Group For High Resolution Sea Surface Temperature
The Group for High-Resolution Sea Surface Temperature (SST) (GHRSST) provides a new generation of global high-resolution (<10km) SST products to the operational oceanographic, meteorological, climate and general scientific community. The GHRSST is an open international science group that promotes the application of satellites for monitoring sea surface temperature (SST) by enabling SST data producers, users and scientists to collaborate within an agreed framework of best practice. GHRSST provides a framework for SST data sharing, best practices for data processing and a forum for scientific dialog, bringing SST to the user.
GHRSST is led by elected international experts: the GHRSST Science Team. The GHRSST Science Team co-ordinates the data production and related research. Continuous efforts to refine the GHRSST data management structures ensure a functional system that conforms to international directives and results in easy access and guidance for users.
Major stakeholders are represented in the GHRSST Advisory Council which advises the GHRSST Science Team on its strategy.
The GHRSST Project Office supports the smooth day-to-day working of the group.
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| Submitter/Owner | stat unescap ( OceanExpert : 41443 ) | ||||
| Submitter/Owner Role | ESCAP | ||||
| Datasource URL | https://www.ghrsst.org/ghrsst-data-services/services/ | ||||
| Parent Project URL | http://www.ghrsst.org/ | ||||
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| English name | Data - Group For High Resolution Sea Surface Temperature | ||||
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| Acronym | GHRSST | ||||
| Citation | citation to fill | ||||
| Abstract | The Group for High-Resolution Sea Surface Temperature (SST) (GHRSST) provides a new generation of global high-resolution (<10km) SST products to the operational oceanographic, meteorological, climate and general scientific community. The GHRSST is an open international science group that promotes the application of satellites for monitoring sea surface temperature (SST) by enabling SST data producers, users and scientists to collaborate within an agreed framework of best practice. GHRSST provides a framework for SST data sharing, best practices for data processing and a forum for scientific dialog, bringing SST to the user. GHRSST is led by elected international experts: the GHRSST Science Team. The GHRSST Science Team co-ordinates the data production and related research. Continuous efforts to refine the GHRSST data management structures ensure a functional system that conforms to international directives and results in easy access and guidance for users. Major stakeholders are represented in the GHRSST Advisory Council which advises the GHRSST Science Team on its strategy. The GHRSST Project Office supports the smooth day-to-day working of the group. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Mercator Océan | ||||
| Technical notes | Figures/ NetCDF | ||||
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Languages: English Countries: GLOBAL Host Countries: GLOBAL Sea Region: World Themes: DS03 Physical oceanography Keywords: GHRSST, GHRSST Advisory Council, GHRSST Science Team, GHRSST data management, High-Resolution Sea Surface, Sea surface temperature, climate
Last updated: 08/10/2021
Data access - Surface Ocean CO₂ Atlas (ODIS id: 476)
https://www.socat.info/index.php/data-access/
Participants at the “Surface Ocean CO₂ Variability and Vulnerability” (SOCOVV) workshop at UNE ...
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Data access - Surface Ocean CO₂ Atlas
Participants at the “Surface Ocean CO₂ Variability and Vulnerability” (SOCOVV) workshop at UNESCO, Paris in April 2007, co-sponsored by IOCCP, SOLAS, IMBER, and the Global Carbon Project, agreed to establish a global surface fCO₂ data set that would bring together, in a common format, all publicly available fCO₂ data for the surface oceans.
This Surface Ocean CO₂ Atlas (SOCAT) data set serves a wide range of user communities. Two distinct data products are available:
a 2nd level quality controlled global surface ocean fCO₂ data set,
and a gridded SOCAT product of monthly surface water fCO₂ means on a 1° x 1° grid with no temporal or spatial interpolation.
(The fugacity of carbon dioxide, or fCO₂, is the partial pressure of CO₂ (pCO₂) corrected for non-ideal behaviour of the gas.)
SOCAT version 6, made public in 2018, includes data from more than 10 countries. It has 23.4 million quality controlled surface ocean fCO2 measurements from 1957 to 2017. The SOCAT data set uses IOCCP recommended formats for metadata and data reporting. SOCAT quality control is carried out by regional working groups with a global group for coordination.
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| Submitter/Owner | Peter H. Pissierssens ( OceanExpert : 36337 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://www.socat.info/index.php/data-access/ | ||||
| Parent Project URL | https://www.socat.info/ | ||||
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| English name | Data access - Surface Ocean CO₂ Atlas | ||||
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| Acronym | Data access - SOCAT | ||||
| Citation | Bakker, Dorothee C. E.; Alin, Simone R.; Bates, Nicholas; Becker, Meike; Castaño-Primo, Rocío; Cosca, Catherine E.; Cronin, Margot; Kadono, Koji; Kozyr, Alex; Lauvset, Siv K.; Metzl, Nicolas; Munro, David R.; Nakaoka, Shin-ichiro; O'Brien, Kevin M.; Ólafsson, Jón; Olsen, Are; Pfeil, Benjamin; Pierrot, Denis; Smith, Karl; Sutton, Adrienne J.; Takahashi, Taro; Tilbrook, Bronte; Wanninkhof, Rik; Andersson, Andreas; Atamanchuk, Dariia; Benoit-Cattin, Alice; Bott, Randy; Burger, Eugene F.; Cai, Wei-Jun; Cantoni, Carolina; Collins, Andrew; Corredor, Jorge E.; Cronin, Meghan F.; Cross, Jessica N.; Currie, Kim I.; De Carlo, Eric H.; DeGrandpre, Michael D.; Dietrich, Colin; Emerson, Steven; Enright, Matt P.; Evans, Wiley; Feely, Richard A.; García-Ibáñez, Maribel I.; Gkritzalis, Thanos; Glockzin, Michael; Hales, Burke; Hartman, Susan E.; Hashida, Gen; Herndon, Julian; Howden, Stephan D.; Humphreys, Matthew P.; Hunt, Christopher W.; Jones, Steve D.; Kim, Seonjeong; Kitidis, Vassilis; Landa, Camilla S.; Landschützer, Peter; Lebon, Geoffrey T.; Lefèvre, Nathalie; Lo Monaco, Claire; Luchetta, Anna; Maenner Jones, Stacy; Manke, Ansley B.; Manzello, Derek; Mears, Patrick; Mickett, John; Monacci, Natalie M.; Morell, Julio M.; Musielewicz, Sylvia; Newberger, Tim; Newton, Jan; Noakes, Scott; Noh, Jae-Hoon; Nojiri, Yukihiro; Ohman, Mark; Ólafsdóttir, Sólveig Rósa; Omar, Abdirahman M.; Ono, Tsuneo; Osborne, John; Plueddemann, Albert J.; Rehder, Gregor; Sabine, Christopher L.; Salisbury, Joseph E.; Schlitzer, Reiner; Send, Uwe; Skjelvan, Ingunn; Sparnocchia, Stefania; Steinhoff, Tobias; Sullivan, Kevin F.; Sutherland, Stewart C.; Sweeney, Colm; Tadokoro, Kazuaki; Tanhua, Toste; Telszewski, Maciej; Tomlinson, Michael; Tribollet, Aline; Trull, Tom; Vandemark, Douglas; Wada, Chisato; Wallace, Douglas W. R.; Weller, Robert A.; Woosley, Ryan J. (2020). Surface Ocean CO2 Atlas Database Version 2020 (SOCATv2020) (NCEI Accession 0210711). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/4xkx-ss49. | ||||
| Abstract | Participants at the “Surface Ocean CO₂ Variability and Vulnerability” (SOCOVV) workshop at UNESCO, Paris in April 2007, co-sponsored by IOCCP, SOLAS, IMBER, and the Global Carbon Project, agreed to establish a global surface fCO₂ data set that would bring together, in a common format, all publicly available fCO₂ data for the surface oceans. This Surface Ocean CO₂ Atlas (SOCAT) data set serves a wide range of user communities. Two distinct data products are available: a 2nd level quality controlled global surface ocean fCO₂ data set, and a gridded SOCAT product of monthly surface water fCO₂ means on a 1° x 1° grid with no temporal or spatial interpolation. (The fugacity of carbon dioxide, or fCO₂, is the partial pressure of CO₂ (pCO₂) corrected for non-ideal behaviour of the gas.) SOCAT version 6, made public in 2018, includes data from more than 10 countries. It has 23.4 million quality controlled surface ocean fCO2 measurements from 1957 to 2017. The SOCAT data set uses IOCCP recommended formats for metadata and data reporting. SOCAT quality control is carried out by regional working groups with a global group for coordination. | ||||
| Technical contact email | please check the record details page | ||||
| Host institution of the resource | Bjerknes Centre for Climate Research | ||||
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Languages: English Countries: GLOBAL Host Countries: Norway, United States Sea Region: World Themes: DS03 Physical oceanography Keywords: ODV software, carbon dioxide, coastal ocean waters, data portal, fugacity of carbon dioxide, global ocean, global ocean acidification, ocean carbon, open access
Last updated: 04/10/2021
Data and Products - Crustal Dynamics Data Information System (ODIS id: 2041)
https://cddis.nasa.gov/Data_and_Derived_Products/index.html
The CDDIS archives and distributes mainly Global Navigation Satellite System (GNSS), laser ranging ( ...
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Data and Products - Crustal Dynamics Data Information System
The CDDIS archives and distributes mainly Global Navigation Satellite System (GNSS), laser ranging (both to artificial satellites, SLR, and the moon, LLR, Very Long Baseline Interferometry (VLBI), and Doppler Orbitography and Radio-positioning Integrated by Satellite (DORIS) data for an ever increasing user community of geophysicists. CDDIS data and derived products are accessible at https://cddis.nasa.gov/archive and via other methods.
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| Submitter/Owner | Mr. Cristian Muñoz Mas ( OceanExpert : 30291 ) | ||||
| Submitter/Owner Role | IODE Secretariat | ||||
| Datasource URL | https://cddis.nasa.gov/Data_and_Derived_Products/index.html | ||||
| Parent Project URL | https://cddis.nasa.gov/index.html | ||||
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| English name | Data and Products - Crustal Dynamics Data Information System | ||||
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| Acronym | Data and Products - CDDIS | ||||
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| Abstract | The CDDIS archives and distributes mainly Global Navigation Satellite System (GNSS), laser ranging (both to artificial satellites, SLR, and the moon, LLR, Very Long Baseline Interferometry (VLBI), and Doppler Orbitography and Radio-positioning Integrated by Satellite (DORIS) data for an ever increasing user community of geophysicists. CDDIS data and derived products are accessible at https://cddis.nasa.gov/archive and via other methods. | ||||
| Technical contact email | please check the record details page | ||||
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