Typing multiple words will show all the results where any of the words matches!
Use double quotes (") to group words and narrow down the results:
searching for ocean atlas will give you all the results for ocean AND all the results for atlas
I made an atlas to use at school.
will match once for atlas
I love the ocean.
will match once for ocean
I made an atlas that is not containing the ocean.
will match once for atlas
will match a second time for ocean
I made a new ocean atlas.
will match once for atlas
will match a second time for ocean
searching for "ocean atlas" will only give you the results for the 2 adjacent words ocean and atlas
I made an atlas to use at school.
will NOT match, ocean atlas not found
I love the ocean.
will NOT match, ocean atlas not found
I made an atlas that is not containing the ocean.
will NOT match, the 2 adjacent words ocean atlas not found
I made a new ocean atlas.
will match once, the 2 adjacent words ocean atlas found once
How to use wildcards?
Wildcards '?' (single character) and '*' (multiple characters) are accepted.
bird will only match the word 'bird'
bir? will match the words 'bir' and 'bird'
bir* will match the words 'bir', 'bird' and 'birds'
*bird* will match the words 'bird', 'birds', 'seabird' and 'seabirds'
How to use the filters?
you can search with or without filters, filters are here to narrow down your search results using predefined lists
using filters
multiple selects within one filter will be used as OR statements
examples:
selecting both Belgium and France
will show all records where Belgium has been selected and
all records where France has been selected
different filters will be used with AND statement in search
examples:
selecting both Belgium as country and French as language
will show all records where Belgium has been selected as country and
where French has been selected as language
all combination are possible
examples:
selecting both Belgium and France as country
and French and Dutch as language
will show all records where Belgium has been selected as country and
where French or Dutch has been selected as language
and all records where France has been selected as country and
where French or Dutch has been selected as language
without filters
when searching without filters the different words will be searched in all fields that are not a filter
examples:
selecting Belgium as country without the use of a searchword
or selecting no country in the filters and using Belgium as a searchword
will give two different results.
special filters
clicking on the button My Records will show only your records
Type something in the input field to search for a specific text inside all entries of the catalogue.
Typing multiple words will show all the results where any of the words matches!
Use double quotes (") to group words and narrow down the results (see help for some examples):
searching for ocean atlas will give you all the results for ocean AND all the results for atlas
searching for "ocean atlas" will only give you the results for the 2 adjacent words ocean and atlas
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Access to Biological Collection Databases Extended for Geosciences (ODIS id: 1139)
http://www.geocase.eu/efg
ABCDEFG (Access to Biological Collection Databases Extended for Geosciences) is an XML-Schema (Exten ...
more
Access to Biological Collection Databases Extended for Geosciences
ABCDEFG (Access to Biological Collection Databases Extended for Geosciences) is an XML-Schema (Extensible Markup Language) developed for use with palaeontological, mineralogical and geological digitalized collection data.
It extends the ABCD-XML-Schema (Access to Biological Collection Databases) used by GBIF (Glocal Biodiversity Information Facility).
The ABCDEFG-XML-Schema is used to apply a mapping to the local data source and it is supported by the BioCASe Provider Software. This Software is easy to install and provides a very handy user interface for database description and mapping. The BioCASe Provider Software mediates between the local data source and the GeoCASe Portal by sending and receiving XML documents.
ABCDEFG is proposed to the organisation of biodiversity information standards TDWG (Taxonomic Databases Working Group) as a data standard for geoscientific collections.
GeoCASe will be adopted by GBIF as soon as possible. The schema provides a general format for data exchange and retrieval for geoscientific collections. It does not replace individual database management software.
Access to Biological Collection Databases Extended for Geosciences (ODIS id 1139)
Access to Biological Collection Databases Extended for Geosciences
Original (non-English) name
Acronym
ABCDEFG
Citation
Abstract
ABCDEFG (Access to Biological Collection Databases Extended for Geosciences) is an XML-Schema (Extensible Markup Language) developed for use with palaeontological, mineralogical and geological digitalized collection data.
It extends the ABCD-XML-Schema (Access to Biological Collection Databases) used by GBIF (Glocal Biodiversity Information Facility).
The ABCDEFG-XML-Schema is used to apply a mapping to the local data source and it is supported by the BioCASe Provider Software. This Software is easy to install and provides a very handy user interface for database description and mapping. The BioCASe Provider Software mediates between the local data source and the GeoCASe Portal by sending and receiving XML documents.
ABCDEFG is proposed to the organisation of biodiversity information standards TDWG (Taxonomic Databases Working Group) as a data standard for geoscientific collections.
GeoCASe will be adopted by GBIF as soon as possible. The schema provides a general format for data exchange and retrieval for geoscientific collections. It does not replace individual database management software.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: Estonia
Sea Region: World
Themes: DS04 Marine geology
Keywords: XML-Schema, data and information, digitalized collections, geology, geosciences, geoscientific collections, metadata, mineralogy, paleontology
Last updated: 15/09/2021
Agricultural Thesaurus and Glossary - National Agricultural Library (ODIS id: 1102)
https://agclass.nal.usda.gov/
The National Agricultural Library's Agricultural Thesaurus and Glossary are online vocabulary tools ...
more
Agricultural Thesaurus and Glossary - National Agricultural Library
The National Agricultural Library's Agricultural Thesaurus and Glossary are online vocabulary tools of agricultural terms in English and Spanish and are cooperatively produced by the National Agricultural Library, USDA, and the Inter-American Institute for Cooperation on Agriculture as well as other Latin American agricultural institutions belonging to the Agriculture Information and Documentation Service of the Americas (SIDALC). NAL Thesaurus is used to select controlled vocabulary terms for subject indexing of AGRICOLA, PubAg and other databases.
Agricultural Thesaurus and Glossary - National Agricultural Library (ODIS id 1102)
Agricultural Thesaurus and Glossary - National Agricultural Library
Original (non-English) name
Acronym
Agricultural Thesaurus and Glossary - NAL
Citation
Abstract
The National Agricultural Library's Agricultural Thesaurus and Glossary are online vocabulary tools of agricultural terms in English and Spanish and are cooperatively produced by the National Agricultural Library, USDA, and the Inter-American Institute for Cooperation on Agriculture as well as other Latin American agricultural institutions belonging to the Agriculture Information and Documentation Service of the Americas (SIDALC). NAL Thesaurus is used to select controlled vocabulary terms for subject indexing of AGRICOLA, PubAg and other databases.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English, Spanish
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS06 Cross-discipline, DS08 Terrestrial, DS10 Environment, DS12 Human activities
Keywords: Agriculture, thesaurus, vocabularies
Last updated: 02/12/2021
AGROVOC - FAO (ODIS id: 533)
https://agrovoc.fao.org
AGROVOC is a controlled vocabulary covering all areas of interest of the Food and Agriculture Organi ...
more
AGROVOC - FAO
AGROVOC is a controlled vocabulary covering all areas of interest of the Food and Agriculture Organization (FAO) of the United Nations, including food, nutrition, agriculture, fisheries, forestry, environment etc. It is published by FAO and edited by a community of experts. It is widely used in specialized libraries as well as digital libraries and repositories to index content and for the purpose of text mining. It is also used as a specialized tagging resource for content organization by FAO and third-party stakeholders.
AGROVOC consists of +37,000 concepts and +750,000 terms in up to 37 languages. Currently, AGROVOC is an SKOS-XL concept scheme, and a Linked Open Data (LOD) set edited by VocBench. AGROVOC is aligned with 18 other multilingual knowledge organization systems.
AGROVOC is a controlled vocabulary covering all areas of interest of the Food and Agriculture Organization (FAO) of the United Nations, including food, nutrition, agriculture, fisheries, forestry, environment etc. It is published by FAO and edited by a community of experts. It is widely used in specialized libraries as well as digital libraries and repositories to index content and for the purpose of text mining. It is also used as a specialized tagging resource for content organization by FAO and third-party stakeholders.
AGROVOC consists of +37,000 concepts and +750,000 terms in up to 37 languages. Currently, AGROVOC is an SKOS-XL concept scheme, and a Linked Open Data (LOD) set edited by VocBench. AGROVOC is aligned with 18 other multilingual knowledge organization systems.
ASFA: Aquatic Sciences and Fisheries Abstracts provides extensive coverage of the world's literature on the science, technology, management, and conservation of marine, brackish water, and freshwater resources and environments, including their socio-economic and legal aspects.
ASFA: Aquatic Sciences and Fisheries Abstracts is also part of Earth, Atmospheric, & Aquatic Science Database, Natural Science Collection, and SciTech Premium Collection.
ASFA: Aquatic Sciences and Fisheries Abstracts is the principal component of the Aquatic Sciences and Fisheries Information System (ASFIS), an international cooperative information system for the collection and dissemination of information covering the science, technology and management of marine, brackish water, and freshwater environments.
ASFA: Aquatic Sciences and Fisheries Abstracts is produced under auspices of the ASFA Partnership, a network that includes four United Nations sponsoring agencies and more than 60 international and national partners, each tasked with reviewing and indexing the aquatic literature published in their region. For over 30 years, ASFA has been published and distributed worldwide under a cooperative agreement between ProQuest and the Food & Agriculture Organization of the United Nations.
Although primarily English language, publications in over 40 other languages are translated and indexed for inclusion.
Aquatic Sciences and Fisheries Abstracts - FAO (ODIS id 984)
Aquatic Sciences and Fisheries Abstracts - Web site. ASFA Partnership. FI Institutional Websites. In: FAO Fisheries Division [online]. Rome. Updated 10 December 2020.
Abstract
ASFA: Aquatic Sciences and Fisheries Abstracts provides extensive coverage of the world's literature on the science, technology, management, and conservation of marine, brackish water, and freshwater resources and environments, including their socio-economic and legal aspects.
ASFA: Aquatic Sciences and Fisheries Abstracts is also part of Earth, Atmospheric, & Aquatic Science Database, Natural Science Collection, and SciTech Premium Collection.
ASFA: Aquatic Sciences and Fisheries Abstracts is the principal component of the Aquatic Sciences and Fisheries Information System (ASFIS), an international cooperative information system for the collection and dissemination of information covering the science, technology and management of marine, brackish water, and freshwater environments.
ASFA: Aquatic Sciences and Fisheries Abstracts is produced under auspices of the ASFA Partnership, a network that includes four United Nations sponsoring agencies and more than 60 international and national partners, each tasked with reviewing and indexing the aquatic literature published in their region. For over 30 years, ASFA has been published and distributed worldwide under a cooperative agreement between ProQuest and the Food & Agriculture Organization of the United Nations.
Although primarily English language, publications in over 40 other languages are translated and indexed for inclusion.
VocBench
Vocabulary information. Download this vocabulary as SKOS/RDF: RDF/XML.
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: aquaculture, aquatic sciences, conservation, fisheries, vocabularies
Last updated: 09/10/2021
This page contains information and resources to assist in the implementation of metadata standard AS/NZS ISO 19115.1:2015 - geographic information. Guidelines have been developed that provide comprehensive examples on how to implement some key elements. This page refers to the version of the 19115 standard approved in 2015. For previous versions of guidance, go to the ANZLIC Metadata Profile pages also on this website.
Metadata standard AS/NZS ISO 19115.1:2015 Geographic information - Metadata – Fundamentals has been approved for use by Standards Australia and Standards New Zealand and was published on 13 February 2015. ANZLIC recommends a transition to this revised standard to better support sharing of digital information resources.
This page contains information and resources to assist in the implementation of metadata standard AS/NZS ISO 19115.1:2015 - geographic information. Guidelines have been developed that provide comprehensive examples on how to implement some key elements. This page refers to the version of the 19115 standard approved in 2015. For previous versions of guidance, go to the ANZLIC Metadata Profile pages also on this website.
Metadata standard AS/NZS ISO 19115.1:2015 Geographic information - Metadata – Fundamentals has been approved for use by Standards Australia and Standards New Zealand and was published on 13 February 2015. ANZLIC recommends a transition to this revised standard to better support sharing of digital information resources.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: Australia, New Zealand
Host Countries: Australia
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: ISO19115/19139, geographic information, metadata
Last updated: 27/01/2021
The BCO supports the interoperability of biodiversity and biodiversity-related data, including data on museum collections, environmental/metagenomic samples, and ecological surveys. A key aspect of the BCO is distinguishing among material samples (i.e. specimens), observing processes, and data about either of those entities.
The BCO covers distinctions between individuals, organisms, voucher specimens, lots, samples, the relations between these entities, and the processes governing the creation and use of "samples". Also within scope are properties including collector, location, time, storage environment, containers, institution, and collection identifiers.
A slightly outdated 12-minute overview of the BCO is available on YouTube at https://www.youtube.com/watch?v=j37IH9PIeaA.
The Biological Collections Ontology (BCO) is part of the OBO Foundry library and attempts to conform to OBO Foundry Principles.
If you are using the ontology, please cite its IRI (https://purl.obolibrary.org/obo/bco.owl).
Please cite the original PLOS ONE paper: https://doi.org/10.1371/journal.pone.0089606 or the more recent book chapter: http://ebooks.iospress.nl/volumearticle/49542
Abstract
The BCO supports the interoperability of biodiversity and biodiversity-related data, including data on museum collections, environmental/metagenomic samples, and ecological surveys. A key aspect of the BCO is distinguishing among material samples (i.e. specimens), observing processes, and data about either of those entities.
The BCO covers distinctions between individuals, organisms, voucher specimens, lots, samples, the relations between these entities, and the processes governing the creation and use of "samples". Also within scope are properties including collector, location, time, storage environment, containers, institution, and collection identifiers.
A slightly outdated 12-minute overview of the BCO is available on YouTube at https://www.youtube.com/watch?v=j37IH9PIeaA.
The Biological Collections Ontology (BCO) is part of the OBO Foundry library and attempts to conform to OBO Foundry Principles.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: Biological Collections Ontology, biodiversity, data harmonization, ecology, environment, ontology
Last updated: 27/01/2021
British Oceanographic Data Centre NERC Vocabulary Server (ODIS id: 31)
British Oceanographic Data Centre NERC Vocabulary Server
The British Oceanographic Data Centre (BODC) operates the NERC Vocabulary Server (NVS) web service, which provides access to controlled vocabularies. Some of these vocabularies are totally managed by BODC but others have external content governance authorities (e.g. SeaVox).
In addition, there are a number of vocabularies hosted on the NVS where the labels for concepts in one vocabulary are created from a concatenation of concept labels from other vocabularies following an underlying semantic model.
British Oceanographic Data Centre NERC Vocabulary Server (ODIS id 31)
British Oceanographic Data Centre NERC Vocabulary Server
Original (non-English) name
Acronym
NVS
Citation
Abstract
The British Oceanographic Data Centre (BODC) operates the NERC Vocabulary Server (NVS) web service, which provides access to controlled vocabularies. Some of these vocabularies are totally managed by BODC but others have external content governance authorities (e.g. SeaVox).
In addition, there are a number of vocabularies hosted on the NVS where the labels for concepts in one vocabulary are created from a concatenation of concept labels from other vocabularies following an underlying semantic model.
Types: Code lists and vocabularies
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: SeaDataNet, controlled vocabularies, data management, earth science, environmental science, marine biology, metadata, oceanography, semantic model, vocabularies
Last updated: 25/09/2021
Catalogue schema - UK Evironmental Observations Framwork (ODIS id: 1131)
http://www.ukeof.org.uk/schema
Here the current version of UKEOF Schema 1.0 (released 2014-03-31) and
DRAFT Schema documentation ...
more
Catalogue schema - UK Evironmental Observations Framwork
Here the current version of UKEOF Schema 1.0 (released 2014-03-31) and
DRAFT Schema documentation v 1.0.
UKEOF is the coordinating body across the public sector for the UK's environmental observation community. As such it plays a vital role in improving the coordination of the UK's observational evidence needed to understand and manage the changing natural environment. As a partnership of public sector organisations with an interest in using and providing evidence from environmental observations, UKEOF is unique in bringing together the main organisations involved in the field. Together they generate and manage in situ and remote environmental observations across the UK.
Catalogue schema - UK Evironmental Observations Framwork (ODIS id 1131)
Catalogue schema - UK Evironmental Observations Framwork
Original (non-English) name
Acronym
Catalogue schema - UKEOF
Citation
Abstract
Here the current version of UKEOF Schema 1.0 (released 2014-03-31) and
DRAFT Schema documentation v 1.0.
UKEOF is the coordinating body across the public sector for the UK's environmental observation community. As such it plays a vital role in improving the coordination of the UK's observational evidence needed to understand and manage the changing natural environment. As a partnership of public sector organisations with an interest in using and providing evidence from environmental observations, UKEOF is unique in bringing together the main organisations involved in the field. Together they generate and manage in situ and remote environmental observations across the UK.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS10 Environment
Keywords: environment, metadata
Last updated: 29/01/2021
Climate and Forecast Metadata Conventions (ODIS id: 1114)
http://cfconventions.org
The conventions for CF (Climate and Forecast) metadata are designed to promote the processing and sh ...
more
Climate and Forecast Metadata Conventions
The conventions for CF (Climate and Forecast) metadata are designed to promote the processing and sharing of files created with the NetCDF API. The CF conventions are increasingly gaining acceptance and have been adopted by a number of projects and groups as a primary standard. The conventions define metadata that provides a definitive description of what the data in each variable represents and the spatial and temporal properties of the data. This enables users of data from different sources to decide which quantities are comparable and facilitates building applications with powerful extraction, regrinding, and display capabilities.
Climate and Forecast Metadata Conventions (ODIS id 1114)
The conventions for CF (Climate and Forecast) metadata are designed to promote the processing and sharing of files created with the NetCDF API. The CF conventions are increasingly gaining acceptance and have been adopted by a number of projects and groups as a primary standard. The conventions define metadata that provides a definitive description of what the data in each variable represents and the spatial and temporal properties of the data. This enables users of data from different sources to decide which quantities are comparable and facilitates building applications with powerful extraction, regrinding, and display capabilities.
Types: Bibliographic infobases including library catalogues and document repositories, Code lists and vocabularies, Manuals, guidelines, standards and best practices
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: no searegion defined
Themes: DS06 Cross-discipline
Keywords: NetCDF, Network Common Data Form
Last updated: 11/10/2021
Coastal and Marine Ecological Classification Standard (ODIS id: 754)
https://iocm.noaa.gov/cmecs/
The Coastal and Marine Ecological Classification Standard (CMECS) is a structured catalog of ecologi ...
more
Coastal and Marine Ecological Classification Standard
The Coastal and Marine Ecological Classification Standard (CMECS) is a structured catalog of ecological terms that also provides a framework for interpreting, classifying, and inter-relating observational data from all types of sensors and platforms. The CMECS vocabulary describes coastal and marine environments from the head of tide in estuaries to the depths of the oceans and Great Lakes, and offers an umbrella under which a national coastal and marine ecological classification can grow and evolve.
Endorsed by the FGDC in 2012, CMECS builds upon approaches from published national, regional, and local habitat classification procedures. As an FGDC standard, federally funded projects working with environmental data in marine settings should use CMECS as their primary classification system or include CMECS attributes for their data.
Coastal and Marine Ecological Classification Standard (ODIS id 754)
Coastal and Marine Ecological Classification Standard
Original (non-English) name
Acronym
CMECS
Citation
citation to fill
Abstract
The Coastal and Marine Ecological Classification Standard (CMECS) is a structured catalog of ecological terms that also provides a framework for interpreting, classifying, and inter-relating observational data from all types of sensors and platforms. The CMECS vocabulary describes coastal and marine environments from the head of tide in estuaries to the depths of the oceans and Great Lakes, and offers an umbrella under which a national coastal and marine ecological classification can grow and evolve.
Endorsed by the FGDC in 2012, CMECS builds upon approaches from published national, regional, and local habitat classification procedures. As an FGDC standard, federally funded projects working with environmental data in marine settings should use CMECS as their primary classification system or include CMECS attributes for their data.
Coastal Marine Environmental Thesaurus - Institute for Marine and Coastal Research of Colombia
Controlled language tool product of the documentary and research work carried out at the institute contains the descriptors that allow researchers to identify, search and retrieve marine information.
Coastal Marine Environmental Thesaurus - Institute for Marine and Coastal Research of Colombia (ODIS id 918)
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This resource is
online
Last check was 19/04/2024 15:31
First entry: 21/04/2020
Last update: 23/11/2023
Submitter/Owner
Mr. Leonardo Jose ARIAS ALEMÁN ( OceanExpert :
12914
)
Controlled language tool product of the documentary and research work carried out at the institute contains the descriptors that allow researchers to identify, search and retrieve marine information.
Codes for Australian Aquatic Biota - Commonwealth Scientific and Industrial Research Organisation
CAAB - Codes for Australian Aquatic Biota - is a continuously maintained and expanding 8-digit coding system for aquatic organisms in the Australian region maintained by CSIRO Oceans and Atmosphere, Australia (CSIRO O&A). Taxa name are also matched to the World Register of Marine Species (WoRMS) to allow a crosswalk for publishing marine biological data to OBIS.
Codes for Australian Aquatic Biota - Commonwealth Scientific and Industrial Research Organisation (ODIS id 163)
Codes for Australian Aquatic Biota - Commonwealth Scientific and Industrial Research Organisation
Original (non-English) name
Acronym
CAAB - CSIRO
Citation
Abstract
CAAB - Codes for Australian Aquatic Biota - is a continuously maintained and expanding 8-digit coding system for aquatic organisms in the Australian region maintained by CSIRO Oceans and Atmosphere, Australia (CSIRO O&A). Taxa name are also matched to the World Register of Marine Species (WoRMS) to allow a crosswalk for publishing marine biological data to OBIS.
Types: Code lists and vocabularies, Data catalogue
Languages: English
Countries: Australia
Host Countries: Australia
Sea Region: Bass Strait, Great Australian Bight, Great Barrier Reef (Coastal Waters), Indian Ocean, Pacific Ocean, Southwest Pacific Ocean (140W), Tasman Sea, Timor Sea
Themes: DS01 Biological oceanography
Keywords:
Last updated: 14/02/2022
https://dev.cbics.org/
The Combined Biotope Classification Scheme (CBiCS) is designed to provide data and information for n ...
more
Combined Biotope Classification Scheme
The Combined Biotope Classification Scheme (CBiCS) is designed to provide data and information for natural resource management and conservation. It is for mapping biological communities and informing scientists and managers on changes in health and distribution over time.
CBiCS is a universal system for comparing data from varied sources, ranging from citizen science to detailed research programs and between different regions in Australia and the world.
We encourage all researchers, managers and citizen scientists to consider using the standardised classes of CBiCS for their marine ecological needs. Further documentation and supporting materials will be available shortly (and please feel free to contact the authors for further enquiries).
The CBiCS scheme is open for all scientists, organisations and citizen scientists, however its use is not without limitation. There are some rules in place to ensure the data are robust, reliable and fit for purpose. These are contained in CBiCS Guidance Notes. There are also some copyright, acknowledgment and terms of use to bear in mind, detailed at the relevant links.
This website is presently being developed in phases. This phase includes a description of the CBiCS components and a tool for exploring the hierarchical classes. The next phase will provide access to catalogue pages for each class, with descriptions and images. CBiCS has seven components that are used to describe and classify habitats, biotopes and biodiversity. These components are derived from the international schema used by CMECS, JNCC and EUNIS. They are: (BS) biogeographic setting; (AS) aquatic setting; (WC) water column component; (SC) substratum component; (GC) geo form component); (BC) biotic component; and (MC) morphospecies component.
Combined Biotope Classification Scheme (ODIS id 755)
Edmunds M.& Flynn A. Combined Biotope Classification Scheme (CBiCS). A New Marine Ecological Classification Scheme to Meet New Challenges. 2018/05/12.
Abstract
The Combined Biotope Classification Scheme (CBiCS) is designed to provide data and information for natural resource management and conservation. It is for mapping biological communities and informing scientists and managers on changes in health and distribution over time.
CBiCS is a universal system for comparing data from varied sources, ranging from citizen science to detailed research programs and between different regions in Australia and the world.
We encourage all researchers, managers and citizen scientists to consider using the standardised classes of CBiCS for their marine ecological needs. Further documentation and supporting materials will be available shortly (and please feel free to contact the authors for further enquiries).
The CBiCS scheme is open for all scientists, organisations and citizen scientists, however its use is not without limitation. There are some rules in place to ensure the data are robust, reliable and fit for purpose. These are contained in CBiCS Guidance Notes. There are also some copyright, acknowledgment and terms of use to bear in mind, detailed at the relevant links.
This website is presently being developed in phases. This phase includes a description of the CBiCS components and a tool for exploring the hierarchical classes. The next phase will provide access to catalogue pages for each class, with descriptions and images. CBiCS has seven components that are used to describe and classify habitats, biotopes and biodiversity. These components are derived from the international schema used by CMECS, JNCC and EUNIS. They are: (BS) biogeographic setting; (AS) aquatic setting; (WC) water column component; (SC) substratum component; (GC) geo form component); (BC) biotic component; and (MC) morphospecies component.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Onlline viewer
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: Belgium
Host Countries: Belgium
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS06 Cross-discipline, DS08 Terrestrial, DS10 Environment
Keywords: biotopes, classifications and codes
Last updated: 10/01/2021
Cooperative Ocean/Atmosphere Research Data Service NetCDF Conventions (ODIS id: 1108)
Cooperative Ocean/Atmosphere Research Data Service NetCDF Conventions
Conventions for the standardization of NetCDF files.
Sponsored by the "Cooperative Ocean/Atmosphere Research Data Service ", an NOAA/university cooperative for the sharing and distribution of global atmospheric and oceanographic research data sets.
Cooperative Ocean/Atmosphere Research Data Service NetCDF Conventions (ODIS id 1108)
Cooperative Ocean/Atmosphere Research Data Service NetCDF Conventions
Original (non-English) name
Acronym
COARDS NetCDF Conventions
Citation
Here is a sample acknowledgment you may use when you publish work that uses Ferret or PyFerret. When you publish an acknowledgment, we would appreciate that you contact us as well, so that we have a record of Ferret/PyFerret's contribution to your publication.
The author(s) wish to acknowledge use of the Ferret program for analysis and graphics in this paper. Ferret is a product of NOAA's Pacific Marine Environmental Laboratory. (Information is available at http://ferret.pmel.noaa.gov/Ferret/)
or
The author(s) wish to acknowledge use of the PyFerret program for analysis and graphics in this paper. PyFerret is a product of NOAA's Pacific Marine Environmental Laboratory. (Information is available at http://ferret.pmel.noaa.gov/Ferret/).
Abstract
Conventions for the standardization of NetCDF files.
Sponsored by the "Cooperative Ocean/Atmosphere Research Data Service ", an NOAA/university cooperative for the sharing and distribution of global atmospheric and oceanographic research data sets.
Types: Code lists and vocabularies
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS03 Physical oceanography, DS05 Atmosphere
Keywords: NetCDF, standardization
Last updated: 11/10/2021
Coordinating Working Party Handbook of Fishery Statistics - FAO (ODIS id: 997)
Coordinating Working Party Handbook of Fishery Statistics - FAO
Considering capture fisheries and aquaculture from a global or a regional perspective requires national fisheries statistical programmes to be coherent and consistent, and demands a common set of regional or interregional statistical standards which apply internationally recognized definitions, classifications and codes. The CWP Handbook of Fisheries Statistics was created to serve as the basis for this integration.
The CWP Handbook covers the concepts, definitions, classifications and data exchange protocols – and not least the codes as applied to capture fisheries and aquaculture statistics globally. Many of these concepts and definitions are applied in a wider context, but the user is advised to check the validity of such applications. The Handbook indicates the principles applied by the international agencies and no attempt has been made to include details of national systems, many of which, having been developed for specific national purposes, may differ from those employed internationally.
The intended users of this Handbook are the CWP Member Agencies, national fishery and aquaculture statistics offices, national administrations and other fishery and aquaculture agencies. The Handbook is also intended to assist in the development of national standards as logical extensions of the international standards. Authorities considering introducing or revising national statistical systems are requested to ensure that the system developed incorporates a high degree of compatibility with the international standards described here.
Coordinating Working Party Handbook of Fishery Statistics - FAO (ODIS id 997)
Coordinating Working Party Handbook of Fishery Statistics - FAO
Original (non-English) name
Acronym
CWP Handbook - FAO
Citation
Abstract
Considering capture fisheries and aquaculture from a global or a regional perspective requires national fisheries statistical programmes to be coherent and consistent, and demands a common set of regional or interregional statistical standards which apply internationally recognized definitions, classifications and codes. The CWP Handbook of Fisheries Statistics was created to serve as the basis for this integration.
The CWP Handbook covers the concepts, definitions, classifications and data exchange protocols – and not least the codes as applied to capture fisheries and aquaculture statistics globally. Many of these concepts and definitions are applied in a wider context, but the user is advised to check the validity of such applications. The Handbook indicates the principles applied by the international agencies and no attempt has been made to include details of national systems, many of which, having been developed for specific national purposes, may differ from those employed internationally.
The intended users of this Handbook are the CWP Member Agencies, national fishery and aquaculture statistics offices, national administrations and other fishery and aquaculture agencies. The Handbook is also intended to assist in the development of national standards as logical extensions of the international standards. Authorities considering introducing or revising national statistical systems are requested to ensure that the system developed incorporates a high degree of compatibility with the international standards described here.
Types: Bibliographic infobases including library catalogues and document repositories, Code lists and vocabularies, Manuals, guidelines, standards and best practices
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: aquaculture, aquaculture statistics, capture fisheries, classifications and codes, fisheries, fisheries statistics, international standards
Last updated: 09/10/2021
Directory Interchange Format content metadata (ODIS id: 1115)
The Directory Interchange Format (DIF) content metadata is a specific set of attributes for describing Earth science data at the collection level. From its inception in the late 1980’s as a way to document and exchange information on scientific data to its implementation in NASA's Global Change Master Directory (GCMD), the DIF has evolved to serve the user community in the discovery, access and use of Earth science and related data. GCMD metadata records are now maintained in the Common Metadata Repository (CMR), and the DIF is one of several supported formats for submitting metadata to CMR.
The DIF, the ECHO metadata model, and the ISO 19115 standards for science metadata formed the basis for NASA's Unified Metadata Model (UMM) used by CMR.
Directory Interchange Format content metadata (ODIS id 1115)
The Directory Interchange Format (DIF) content metadata is a specific set of attributes for describing Earth science data at the collection level. From its inception in the late 1980’s as a way to document and exchange information on scientific data to its implementation in NASA's Global Change Master Directory (GCMD), the DIF has evolved to serve the user community in the discovery, access and use of Earth science and related data. GCMD metadata records are now maintained in the Common Metadata Repository (CMR), and the DIF is one of several supported formats for submitting metadata to CMR.
The DIF, the ECHO metadata model, and the ISO 19115 standards for science metadata formed the basis for NASA's Unified Metadata Model (UMM) used by CMR.
Types: Code lists and vocabularies, Manuals, guidelines, standards and best practices
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: no searegion defined
Themes: DS06 Cross-discipline
Keywords: Directory Interchange Format, Earth Science vocabularies, NASA's Unified Metadata Model (UMM), earth science, interoperability, metadata
Last updated: 02/12/2021
Discovery metadata standard - Marine Environmental Data and Information Network (ODIS id: 1116)
Discovery metadata standard - Marine Environmental Data and Information Network
Discovery metadata is a list of information that accompanies a data set and allows other people to find out what the data set contains, where it was collected and how they can get hold of it.
MEDIN has produced a standard for marine metadata and a set of tools to create metadata records that comply with the MEDIN Metadata Standard.
Discovery metadata standard - Marine Environmental Data and Information Network (ODIS id 1116)
Discovery metadata standard - Marine Environmental Data and Information Network
Original (non-English) name
Acronym
Discovery metadata standard - MEDIN
Citation
Abstract
Discovery metadata is a list of information that accompanies a data set and allows other people to find out what the data set contains, where it was collected and how they can get hold of it.
MEDIN has produced a standard for marine metadata and a set of tools to create metadata records that comply with the MEDIN Metadata Standard.
Types: Code lists and vocabularies, Manuals, guidelines, standards and best practices
Languages: English
Countries: GLOBAL
Host Countries: United Kingdom
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: MEDIN discovery metadata standard, metadata
Last updated: 11/10/2021
Energy Industry Profile Specification - Energistics (ODIS id: 1148)
Energy Industry Profile Specification - Energistics
The Energy Industry Profile (EIP) v1.1 is Energistics’ metadata exchange specification developed using input and requirements provided by members of the global energy community. It is designed to enable efficient discovery, evaluation and retrieval of diverse information resources from widely distributed repositories.
The EIP is an ISO Conformance Level 1 profile of the widely adopted international standards ISO 19115-1:2014 which provides XML implementation guidance with reference to ISO Technical Specification 19115-3:2016. The primary changes represented in EIP v1.1 are updates to the XML in the implementation guidance and examples it contains. As a result of these updates, XML represented in EIP v1.1 are conformant with the ISO 19115-3:2016 XML schema. Other changes represented in EIP v1.1 are summarized in the Amendment History table presented on page 3 of the specification.
Energy Industry Profile Specification - Energistics (ODIS id 1148)
Energy Industry Profile Specification - Energistics
Original (non-English) name
Acronym
EIP v1.1 Specification - Energistics
Citation
Abstract
The Energy Industry Profile (EIP) v1.1 is Energistics’ metadata exchange specification developed using input and requirements provided by members of the global energy community. It is designed to enable efficient discovery, evaluation and retrieval of diverse information resources from widely distributed repositories.
The EIP is an ISO Conformance Level 1 profile of the widely adopted international standards ISO 19115-1:2014 which provides XML implementation guidance with reference to ISO Technical Specification 19115-3:2016. The primary changes represented in EIP v1.1 are updates to the XML in the implementation guidance and examples it contains. As a result of these updates, XML represented in EIP v1.1 are conformant with the ISO 19115-3:2016 XML schema. Other changes represented in EIP v1.1 are summarized in the Amendment History table presented on page 3 of the specification.
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Types
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Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS12 Human activities
Keywords: energy, industry, metadata, metadata exchange specification, metadata guidelines, metadata interoperability, standardization
Last updated: 26/05/2021
EnvThes (Environmental Thesaurus) is the controlled vocabulary of the LTER-Europe community. It is coordinated by Umweltbundesamt GmbH, Austria. Here you can find the repository of the SKOS vocabulary. If you want to contribute to EnvThes with suggestions of new terms you have to create a gitHub account first. For any addition of new terms or modification of existing terms please add a new issue. For more information on how to do this please consult the Wiki page.
Versioning management: For EnvThes two types of versioning are considered. Big changes in structure are stored separately. Older versions are put in the related directory. The current version is stored in a separate directory. EnvThes versions with smaller changes are overwritten in this repository.
EnvThes (Environmental Thesaurus) is the controlled vocabulary of the LTER-Europe community. It is coordinated by Umweltbundesamt GmbH, Austria. Here you can find the repository of the SKOS vocabulary. If you want to contribute to EnvThes with suggestions of new terms you have to create a gitHub account first. For any addition of new terms or modification of existing terms please add a new issue. For more information on how to do this please consult the Wiki page.
Versioning management: For EnvThes two types of versioning are considered. Big changes in structure are stored separately. Older versions are put in the related directory. The current version is stored in a separate directory. EnvThes versions with smaller changes are overwritten in this repository.
Technical contact email
please check the record details page
Host institution of the resource
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Countries owning the source
Sea Region
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Contributing data to
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Types: Code lists and vocabularies
Languages: English
Countries: REGIONAL
Host Countries: REGIONAL
Sea Region: World
Themes: DS10 Environment
Keywords: environment, thesaurus, vocabularies
Last updated: 29/01/2021
Environment Ontology (ODIS id: 1122)
http://environmentontology.org/
The Environment Ontology (ENVO) is an expressive, machine-actionable knowledge representation of env ...
more
Environment Ontology
The Environment Ontology (ENVO) is an expressive, machine-actionable knowledge representation of environmental entities. Using ENVO to describe things like ecosystems, entire planets and other astronomical bodies, their parts, or environmental processes increase the interoperability of environmental descriptions, helping (meta)data records achieve demonstrable FAIRness.
ENVO started as a relatively simple controlled and structured vocabulary to support the metadata checklists of the Genomic Standards Consortium (GSC). Over the years, it's matured into a fully-fledged ontology within the OBO Foundry & Library and now supports a wide range of initiatives ranging from individual research projects to inter-governmental data, information, and knowledge exchanges. Collaborations with the ESIP Federation, UN Environment, and IOC-UNESCO have greatly inspired ENVO's current form, and - alongside the requests of individuals and projects - are guiding its evolution.
ENVO continues to develop through an ever-growing co-editorial team and partnerships with other ontologies, thesauri, controlled vocabularies and other terminological and semantic web resources. Increasingly diverse requests for content are shaping ENVO into a comprehensive community resource to help many stakeholders face mounting pressures on our biosphere.
The Environment Ontology (ENVO) is an expressive, machine-actionable knowledge representation of environmental entities. Using ENVO to describe things like ecosystems, entire planets and other astronomical bodies, their parts, or environmental processes increase the interoperability of environmental descriptions, helping (meta)data records achieve demonstrable FAIRness.
ENVO started as a relatively simple controlled and structured vocabulary to support the metadata checklists of the Genomic Standards Consortium (GSC). Over the years, it's matured into a fully-fledged ontology within the OBO Foundry & Library and now supports a wide range of initiatives ranging from individual research projects to inter-governmental data, information, and knowledge exchanges. Collaborations with the ESIP Federation, UN Environment, and IOC-UNESCO have greatly inspired ENVO's current form, and - alongside the requests of individuals and projects - are guiding its evolution.
ENVO continues to develop through an ever-growing co-editorial team and partnerships with other ontologies, thesauri, controlled vocabularies and other terminological and semantic web resources. Increasingly diverse requests for content are shaping ENVO into a comprehensive community resource to help many stakeholders face mounting pressures on our biosphere.
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Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: REGIONAL
Sea Region: World
Themes: DS06 Cross-discipline, DS10 Environment
Keywords: ENVO, Ecosystems, antarctica, ecology, environmental information, interoperability, interoperability of environmental descriptions, machine-actionable knowledge representation, metadata, ontology, science, standardization
Last updated: 27/01/2021
Extensions for remote sensing metadata: Content Standard for Digital Geospatial Metadata - Federal Geographic Data Committee (ODIS id: 1137)
Extensions for remote sensing metadata: Content Standard for Digital Geospatial Metadata - Federal Geographic Data Committee
The purpose of this standard is to provide extensions to the Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata (also referred to hereafter as the Metadata Content Standard) for metadata describing geospatial data obtained from remote sensing. Efforts are being made to make these extensions compatible with the framework and content of the ISO metadata standard now undergoing the approval process, in order that the FGDC standard can be converted to ISO form for use as remote sensing extensions to the ISO standard.
Extensions for remote sensing metadata: Content Standard for Digital Geospatial Metadata - Federal Geographic Data Committee (ODIS id 1137)
Extensions for remote sensing metadata: Content Standard for Digital Geospatial Metadata - Federal Geographic Data Committee
Original (non-English) name
Acronym
Citation
Abstract
The purpose of this standard is to provide extensions to the Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata (also referred to hereafter as the Metadata Content Standard) for metadata describing geospatial data obtained from remote sensing. Efforts are being made to make these extensions compatible with the framework and content of the ISO metadata standard now undergoing the approval process, in order that the FGDC standard can be converted to ISO form for use as remote sensing extensions to the ISO standard.
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Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
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Types
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Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: Digital Geospatial Metadata, Geospatial data, metadata, remote sensing, standardization
Last updated: 29/01/2021
Fisheries and Aquaculture Statistics and Information Branch - FAO (ODIS id: 987)
Fisheries and Aquaculture Statistics and Information Branch - FAO
The FAO Fisheries and Aquaculture Statistics and Information Branch (FIAS) collates world to capture and aquaculture production statistics at either the species, genus, family or higher taxonomic levels in 2 416 statistical categories (2020 data release) referred to as species items.
ASFIS list of species includes 12 871 species items selected according to their interest or relation to fisheries and aquaculture. For each species item stored in a record, codes (ISSCAAP group, taxonomic and 3-alpha) and taxonomic information (scientific name, author(s), family, and higher taxonomic classification) are provided. An English name is available for most of the records, and about one-third of them have also a French and Spanish name. Information is also provided about the availability of fishery production statistics on the species item in the FAO databases.
Fisheries and Aquaculture Statistics and Information Branch - FAO (ODIS id 987)
Fisheries and Aquaculture Statistics and Information Branch - FAO
Original (non-English) name
Acronym
ASFIS - FAO
Citation
Abstract
The FAO Fisheries and Aquaculture Statistics and Information Branch (FIAS) collates world to capture and aquaculture production statistics at either the species, genus, family or higher taxonomic levels in 2 416 statistical categories (2020 data release) referred to as species items.
ASFIS list of species includes 12 871 species items selected according to their interest or relation to fisheries and aquaculture. For each species item stored in a record, codes (ISSCAAP group, taxonomic and 3-alpha) and taxonomic information (scientific name, author(s), family, and higher taxonomic classification) are provided. An English name is available for most of the records, and about one-third of them have also a French and Spanish name. Information is also provided about the availability of fishery production statistics on the species item in the FAO databases.
Types: Code lists and vocabularies
Languages: Arabic, English, Spanish, French, Russian, Chinese
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: no searegion defined
Themes: DS11 Fisheries and aquaculture
Keywords: aquaculture statistics, fisheries statistics
Last updated: 09/10/2021
Originally created in 2001, the FAO Fisheries Glossary has been jointly upgraded by the Fisheries and Aquaculture Department and the Meeting Programming and Documentation Service. This upgrade stems from the need to have it become an integral part of the FAO Term Portal. It includes additional features, languages, and access to alternative definitions for currently existing terms in the FAO Term Portal. As at October 2014, the FAO Fisheries Glossary consists of approximately 1580 terms and definitions, grouped by subject areas, with relevant language equivalents being developed when new terms are added.
All definitions in the Glossary are provided with a “Definition source”, indicating the originator of the term and context in which the term is applied. Terms are provided by FAO as well as by other institutions collaborating with FAO. FAO remains the publisher of all terms, and FAO officers maintain and update definitions in their area of expertise in collaboration with originators.
This Glossary will serve to facilitate a clearer understanding and communication in FAO's long-term objective of achieving sustainable management and use of fisheries and aquaculture resources, enhancing international cooperation in these fields.
Originally created in 2001, the FAO Fisheries Glossary has been jointly upgraded by the Fisheries and Aquaculture Department and the Meeting Programming and Documentation Service. This upgrade stems from the need to have it become an integral part of the FAO Term Portal. It includes additional features, languages, and access to alternative definitions for currently existing terms in the FAO Term Portal. As at October 2014, the FAO Fisheries Glossary consists of approximately 1580 terms and definitions, grouped by subject areas, with relevant language equivalents being developed when new terms are added.
All definitions in the Glossary are provided with a “Definition source”, indicating the originator of the term and context in which the term is applied. Terms are provided by FAO as well as by other institutions collaborating with FAO. FAO remains the publisher of all terms, and FAO officers maintain and update definitions in their area of expertise in collaboration with originators.
This Glossary will serve to facilitate a clearer understanding and communication in FAO's long-term objective of achieving sustainable management and use of fisheries and aquaculture resources, enhancing international cooperation in these fields.
Types: Code lists and vocabularies
Languages: Arabic, English, Spanish, French, Russian, Chinese
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: aquaculture, fisheries, vocabularies
Last updated: 09/10/2021
This Fish Ontology is an ontology created as to how the author views the fish structure following the book "The Diversity of Fishes: Biology, Evolution and Ecology" as the main reference, which covers one part of the view on ichthyology, with an emphasis on diversity and adaptation. This ontology is created with the mindset of categorizing fish automatically based on the attributes and terms mined from the fish specimen.
Most of the basic organization from this ontology follows Nelson's research due to its synthetic and broad approach while recognizing that Nelson's conclusions are one of many alternative interpretations of literature, which is mostly agreed by our main references, and many fish and fisheries researchers.
Most of the classification used in this ontology is by no means completed and just following the recent classification provided by the books
For now, our work focused more on two groups of fish which are early jawless fish, and advanced jawed fishes. The classification from both of these groups are structured following the reference.
This Fish Ontology is an ontology created as to how the author views the fish structure following the book "The Diversity of Fishes: Biology, Evolution and Ecology" as the main reference, which covers one part of the view on ichthyology, with an emphasis on diversity and adaptation. This ontology is created with the mindset of categorizing fish automatically based on the attributes and terms mined from the fish specimen.
Most of the basic organization from this ontology follows Nelson's research due to its synthetic and broad approach while recognizing that Nelson's conclusions are one of many alternative interpretations of literature, which is mostly agreed by our main references, and many fish and fisheries researchers.
Most of the classification used in this ontology is by no means completed and just following the recent classification provided by the books
For now, our work focused more on two groups of fish which are early jawless fish, and advanced jawed fishes. The classification from both of these groups are structured following the reference.
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Contributing data to
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Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: Italy
Sea Region: World
Themes: DS01 Biological oceanography, DS11 Fisheries and aquaculture
Keywords: Fish, Ichthyology, biology, diversity, ecology, fisheries research, ontology
Last updated: 29/01/2021
General Multilingual Environmental Thesaurus (ODIS id: 1133)
GEMET, the GEneral Multilingual Environmental Thesaurus, has been developed since 1995 as an indexing, retrieval and control tool for the European Topic Centre on Catalogue of Data Sources (ETC/CDS) and the European Environment Agency (EEA), Copenhagen. The work has been carried out through a contract between the EEA and the ETC/CDS which was led by the Ministry of the Environment of Lower Saxony, includes members of Germany, Austria, Italy, Sweden and benefits of the collaboration of other member countries of the European Union (EU), as well as of UNEP Infoterra.
The basic idea for the development of GEMET was to use the best of the presently available excellent multilingual thesauri, in order to save time, energy and funds. GEMET was conceived as a “general” thesaurus, aimed to define a common general language, a core of general terminology for the environment. Specific thesauri and descriptor systems (e.g. on Nature Conservation, on Wastes, on Energy, etc.) have been excluded from the first step of development of the thesaurus and have been taken into account only for their structure and upper-level terminology.
General Multilingual Environmental Thesaurus (ODIS id 1133)
GEMET, the GEneral Multilingual Environmental Thesaurus, has been developed since 1995 as an indexing, retrieval and control tool for the European Topic Centre on Catalogue of Data Sources (ETC/CDS) and the European Environment Agency (EEA), Copenhagen. The work has been carried out through a contract between the EEA and the ETC/CDS which was led by the Ministry of the Environment of Lower Saxony, includes members of Germany, Austria, Italy, Sweden and benefits of the collaboration of other member countries of the European Union (EU), as well as of UNEP Infoterra.
The basic idea for the development of GEMET was to use the best of the presently available excellent multilingual thesauri, in order to save time, energy and funds. GEMET was conceived as a “general” thesaurus, aimed to define a common general language, a core of general terminology for the environment. Specific thesauri and descriptor systems (e.g. on Nature Conservation, on Wastes, on Energy, etc.) have been excluded from the first step of development of the thesaurus and have been taken into account only for their structure and upper-level terminology.
https://geojson.org/
GeoJSON is a format for encoding data about geographic features using JavaScript Object Notation (JS ...
more
Geographic JSON
GeoJSON is a format for encoding data about geographic features using JavaScript Object Notation (JSON) [RFC7159]. Geographic features need not be physical things; anything with properties that are bounded in space may be considered a feature. GeoJSON provides a means of representing both the properties and spatial extent of features.
The GeoJSON format specification was published at http://geojson.org in 2008. GeoJSON today plays an important and growing role in many spatial databases, web APIs, and open data platforms. Consequently, the implementers increasingly demand formal standardization, improvements in the specification, guidance on extensibility, and the means to utilize larger GeoJSON datasets.
This WG will work on a GeoJSON Format RFC that specifies the format more precisely, serves as a better guide for implementers, and improves the extensibility of the format. The work will start from an Internet-Draft written by the original GeoJSON authors: draft-butler-geojson (1).
This WG will work on GeoJSON mappings of 'geo' URIs, reinforcing the use of RFC 5870.
This WG will work on a format for a streamable sequence of GeoJSON texts based on RFC 7464 (JSON Text Sequences) to address the difficulties in serializing very large sequences of features or feature sequences of indeterminate length.
GeoJSON objects represent geographic features only and do not specify associations between geographic features and particular devices, users, or facilities. Any association with a particular device, user, or facility requires another protocol. When a GeoJSON object is used in a context where it identifies the location of a device, user, or facility, it becomes subject to the architectural, security, and privacy considerations in RFC 6280, An Architecture for Location and Location Privacy in Internet Applications. The application of those considerations is specific to protocols that make use of GeoJSON objects and is out of scope for the GeoJSON WG. Although the WG is chartered to improve the extensibility of the format, extensions that would allow GeoJSON objects to specify associations between geographic features and particular devices, users, or facilities are not expected to be defined in the WG. Should that be needed, re-chartering will be required.
(1) https://tools.ietf.org/html/draft-butler-geojson
GeoJSON is a format for encoding data about geographic features using JavaScript Object Notation (JSON) [RFC7159]. Geographic features need not be physical things; anything with properties that are bounded in space may be considered a feature. GeoJSON provides a means of representing both the properties and spatial extent of features.
The GeoJSON format specification was published at http://geojson.org in 2008. GeoJSON today plays an important and growing role in many spatial databases, web APIs, and open data platforms. Consequently, the implementers increasingly demand formal standardization, improvements in the specification, guidance on extensibility, and the means to utilize larger GeoJSON datasets.
This WG will work on a GeoJSON Format RFC that specifies the format more precisely, serves as a better guide for implementers, and improves the extensibility of the format. The work will start from an Internet-Draft written by the original GeoJSON authors: draft-butler-geojson (1).
This WG will work on GeoJSON mappings of 'geo' URIs, reinforcing the use of RFC 5870.
This WG will work on a format for a streamable sequence of GeoJSON texts based on RFC 7464 (JSON Text Sequences) to address the difficulties in serializing very large sequences of features or feature sequences of indeterminate length.
GeoJSON objects represent geographic features only and do not specify associations between geographic features and particular devices, users, or facilities. Any association with a particular device, user, or facility requires another protocol. When a GeoJSON object is used in a context where it identifies the location of a device, user, or facility, it becomes subject to the architectural, security, and privacy considerations in RFC 6280, An Architecture for Location and Location Privacy in Internet Applications. The application of those considerations is specific to protocols that make use of GeoJSON objects and is out of scope for the GeoJSON WG. Although the WG is chartered to improve the extensibility of the format, extensions that would allow GeoJSON objects to specify associations between geographic features and particular devices, users, or facilities are not expected to be defined in the WG. Should that be needed, re-chartering will be required.
(1) https://tools.ietf.org/html/draft-butler-geojson
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Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: GeoJSON, GeoJSON format specification, Spatial data
Last updated: 30/01/2021
Geography Markup Language - Open Geospatial Consortium (ODIS id: 1142)
https://www.ogc.org/standards/gml
The Geography Markup Language (GML) is an XML grammar for expressing geographical features. GML serv ...
more
Geography Markup Language - Open Geospatial Consortium
The Geography Markup Language (GML) is an XML grammar for expressing geographical features. GML serves as a modeling language for geographic systems as well as an open interchange format for geographic transactions on the Internet. As with most XML-based grammars, there are two parts to the grammar – the schema that describes the document and the instance document that contains the actual data. A GML document is described using a GML Schema. This allows users and developers to describe generic geographic data sets that contain points, lines, and polygons. However, the developers of GML envision communities working to define community-specific application schemas [en.wikipedia.org/wiki/GML_Application_Schemas] that are specialized extensions of GML. Using application schemas, users can refer to roads, highways, and bridges instead of points, lines, and polygons. If everyone in a community agrees to use the same schemas they can exchange data easily and be sure that a road is still a road when they view it. Clients and servers with interfaces that implement the OpenGIS® Web Feature Service Interface Standard[http://www.opengeospatial.org/standards/wfs] read and write GML data. GML is also an ISO standard (ISO 19136:2007).
Geography Markup Language - Open Geospatial Consortium (ODIS id 1142)
Geography Markup Language - Open Geospatial Consortium
Original (non-English) name
Acronym
GML - OGC
Citation
Abstract
The Geography Markup Language (GML) is an XML grammar for expressing geographical features. GML serves as a modeling language for geographic systems as well as an open interchange format for geographic transactions on the Internet. As with most XML-based grammars, there are two parts to the grammar – the schema that describes the document and the instance document that contains the actual data. A GML document is described using a GML Schema. This allows users and developers to describe generic geographic data sets that contain points, lines, and polygons. However, the developers of GML envision communities working to define community-specific application schemas [en.wikipedia.org/wiki/GML_Application_Schemas] that are specialized extensions of GML. Using application schemas, users can refer to roads, highways, and bridges instead of points, lines, and polygons. If everyone in a community agrees to use the same schemas they can exchange data easily and be sure that a road is still a road when they view it. Clients and servers with interfaces that implement the OpenGIS® Web Feature Service Interface Standard[http://www.opengeospatial.org/standards/wfs] read and write GML data. GML is also an ISO standard (ISO 19136:2007).
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Interface Languages
Contributing Countries
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Data policy
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Keywords
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Types
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Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: GML Schema, Geography Markup Language, Geospatial data, XML grammar, geographical features
Last updated: 30/01/2021
The GeoNames Ontology makes it possible to add geospatial semantic information to the Word Wide Web. All over 11 million geonames toponyms now have a unique URL with a corresponding RDF web service. Other services describe the relation between toponyms.
The GeoNames geographical database is available for download free of charge under a creative commons attribution license. It contains over 25 million geographical names and consists of over 11 million unique features whereof 4.8 million populated places and 13 million alternate names. All features are categorized into one out of nine feature classes and further subcategorized into one out of 645 feature codes. (more statistics ...).
The data is accessible free of charge through a number of web services and a daily database export. GeoNames is already serving up to over 150 million web service requests per day.
GeoNames is integrating geographical data such as names of places in various languages, elevation, population, and others from various sources. All lat/long coordinates are in WGS84 (World Geodetic System 1984). Users may manually edit, correct, and add new names using a user-friendly wiki interface.
GeoNames has Ambassadors in many countries who assist with their help and expertise.
The GeoNames Ontology makes it possible to add geospatial semantic information to the Word Wide Web. All over 11 million geonames toponyms now have a unique URL with a corresponding RDF web service. Other services describe the relation between toponyms.
The GeoNames geographical database is available for download free of charge under a creative commons attribution license. It contains over 25 million geographical names and consists of over 11 million unique features whereof 4.8 million populated places and 13 million alternate names. All features are categorized into one out of nine feature classes and further subcategorized into one out of 645 feature codes. (more statistics ...).
The data is accessible free of charge through a number of web services and a daily database export. GeoNames is already serving up to over 150 million web service requests per day.
GeoNames is integrating geographical data such as names of places in various languages, elevation, population, and others from various sources. All lat/long coordinates are in WGS84 (World Geodetic System 1984). Users may manually edit, correct, and add new names using a user-friendly wiki interface.
GeoNames has Ambassadors in many countries who assist with their help and expertise.
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please check the record details page
Host institution of the resource
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Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: Switzerland
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: geographic information, geospatial semantic information, metadata, ontology
Last updated: 06/02/2021
Geospatial Extension - Darwin Core (ODIS id: 1140)
This document contains a list of the proposed elements of the Geospatial Extension of the Darwin Core. This schema is incorporated (imported) in the Darwin Record Application schema, which is ready for use with the Tapir protocol.
This document contains a list of the proposed elements of the Geospatial Extension of the Darwin Core. This schema is incorporated (imported) in the Darwin Record Application schema, which is ready for use with the Tapir protocol.
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please check the record details page
Host institution of the resource
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Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: Germany
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: Darwin Core, Geospatial data, biology, metadata
Last updated: 30/01/2021
Global Change Master Directory Keywords - NASA (ODIS id: 1100)
Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled Earth Science vocabularies that help ensure Earth science data, services, and variables are described in a consistent and comprehensive manner and allow for the precise searching of metadata and subsequent retrieval of data, services, and variables. Initiated over twenty years ago, GCMD Keywords are periodically analyzed for relevancy and will continue to be refined and expanded in response to user needs. The categories of GCMD Keywords are as follows: Earth Science,
Earth Science Services,
Data Centers/Service Providers,
Projects,
Instruments/Sensors,
Platforms/Sources,
Locations,
Horizontal Data Resolution,
Vertical Data Resolution,
Temporal Data Resolution,
URL Content Types,
Granule Data Formats,
Measurement Names, and Chronostratigraphic Units.
The information provided on this page defines how GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords.
Global Change Master Directory Keywords - NASA (ODIS id 1100)
Global Change Master Directory (GCMD). 2020. GCMD Keywords, Version 9.1. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA).
Abstract
Global Change Master Directory (GCMD) Keywords are a hierarchical set of controlled Earth Science vocabularies that help ensure Earth science data, services, and variables are described in a consistent and comprehensive manner and allow for the precise searching of metadata and subsequent retrieval of data, services, and variables. Initiated over twenty years ago, GCMD Keywords are periodically analyzed for relevancy and will continue to be refined and expanded in response to user needs. The categories of GCMD Keywords are as follows: Earth Science,
Earth Science Services,
Data Centers/Service Providers,
Projects,
Instruments/Sensors,
Platforms/Sources,
Locations,
Horizontal Data Resolution,
Vertical Data Resolution,
Temporal Data Resolution,
URL Content Types,
Granule Data Formats,
Measurement Names, and Chronostratigraphic Units.
The information provided on this page defines how GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords.
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: earth science, metadata, vocabularies
Last updated: 02/12/2021
Global Species Databases - World Register of Marine Species (ODIS id: 844)
Global Species Databases - World Register of Marine Species
Original (non-English) name
Acronym
GSD - WoRMS
Citation
WoRMS Editorial Board (2020). World Register of Marine Species. Available from http://www.marinespecies.org at VLIZ. Accessed 2020-11-14. doi:10.14284/170.
Abstract
A global database of all marine life including marine life taxonomic information.
Types: Code lists and vocabularies, Data catalogue
Languages: English
Countries: GLOBAL
Host Countries: Belgium, GLOBAL
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: Marine Species, marine life, online database, taxonomy
Last updated: 09/10/2021
The glossary of aquaculture is a multidisciplinary and multilingual glossary containing more than 2600 terms, definitions, related terms, synonyms and images.
This glossary has been prepared by the Aquaculture Branch of the former FAO Fisheries and Aquaculture Department, under the coordination of the Fisheries and Aquaculture Officer Valerio Crespi, and with the collaboration of the Language Branch. Its contents are primarily based on existing textbooks and glossaries, in particular those prepared within the various Branches of the former FAO Fisheries and Aquaculture Department. Terms pertaining to specific aquaculture subject areas have been validated by internal and external FAO experts.
The primary objectives of this glossary are:
- to serve as a reference to fish farmers, consultants, administrators, policy makers, developers, engineers, agriculturists, economists, environmentalists and any other actor interested in aquaculture;
- to facilitate communication among experts and scientists involved in aquaculture research and development.
The glossary of aquaculture is a multidisciplinary and multilingual glossary containing more than 2600 terms, definitions, related terms, synonyms and images.
This glossary has been prepared by the Aquaculture Branch of the former FAO Fisheries and Aquaculture Department, under the coordination of the Fisheries and Aquaculture Officer Valerio Crespi, and with the collaboration of the Language Branch. Its contents are primarily based on existing textbooks and glossaries, in particular those prepared within the various Branches of the former FAO Fisheries and Aquaculture Department. Terms pertaining to specific aquaculture subject areas have been validated by internal and external FAO experts.
The primary objectives of this glossary are:
- to serve as a reference to fish farmers, consultants, administrators, policy makers, developers, engineers, agriculturists, economists, environmentalists and any other actor interested in aquaculture;
- to facilitate communication among experts and scientists involved in aquaculture research and development.
Types: Code lists and vocabularies
Languages: Arabic, English, Spanish, French, Russian, Chinese
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: aquaculture, vocabularies
Last updated: 09/10/2021
Government of Canada Core Subject Thesaurus (ODIS id: 1107)
The Government of Canada Core Subject Thesaurus is a bilingual thesaurus consisting of terminology which represents all the fields treated in information resources of the Government of Canada. It contains 4,983 terms in English and 5,050 in French, including 2,294 preferred terms in English and 2,294 in French. All fields of knowledge are represented in the thesaurus, to varying degrees. Because of the great variety of subjects covered by the thesaurus, its terminology is rather general. By design, it does not include specialized terminology used in specific and limited disciplines.
The tool is primarily intended for content managers, librarians, indexers and metadata developers in federal departments and agencies who must select controlled subject terms to index Government of Canada Web resources. In the Treasury Board Standard on Metadata, the Government of Canada Core Subject Thesaurus is identified as the preferred source of controlled vocabulary for that purpose. Using the CST will help to reduce the duplication of effort in creating a variety of controlled vocabularies in the Government of Canada, as well as increase the interoperability of government web sites.
Government of Canada Core Subject Thesaurus (ODIS id 1107)
The Government of Canada Core Subject Thesaurus is a bilingual thesaurus consisting of terminology which represents all the fields treated in information resources of the Government of Canada. It contains 4,983 terms in English and 5,050 in French, including 2,294 preferred terms in English and 2,294 in French. All fields of knowledge are represented in the thesaurus, to varying degrees. Because of the great variety of subjects covered by the thesaurus, its terminology is rather general. By design, it does not include specialized terminology used in specific and limited disciplines.
The tool is primarily intended for content managers, librarians, indexers and metadata developers in federal departments and agencies who must select controlled subject terms to index Government of Canada Web resources. In the Treasury Board Standard on Metadata, the Government of Canada Core Subject Thesaurus is identified as the preferred source of controlled vocabulary for that purpose. Using the CST will help to reduce the duplication of effort in creating a variety of controlled vocabularies in the Government of Canada, as well as increase the interoperability of government web sites.
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Technical notes
The Government of Canada Core Subject Thesaurus was developed in accordance with the Guidelines for the establishment and development of monolingual thesauri (ISO 2788-1986) and the Guidelines for the establishment and development of multilingual thesauri (ISO 5964-1985).
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English, French
Countries: Canada
Host Countries: Canada
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: metadata, thesaurus, vocabularies
Last updated: 26/01/2021
International GeoSample Number (ODIS id: 1138)
https://igsn.github.io/
The IGSN is a persistent unique identifier for physical samples and specimens that eliminates the pr ...
more
International GeoSample Number
The IGSN is a persistent unique identifier for physical samples and specimens that eliminates the problems associated with the ambiguous naming of samples. The IGSN registration service will facilitate the discovery, access, and sharing of samples, ensure preservation and access of sample data, aid identification of samples in the literature, and advance the exchange of digital sample data among interoperable data systems, thus maximizing the utility of samples for research, education, and society.
The IGSN is a persistent unique identifier for physical samples and specimens that eliminates the problems associated with the ambiguous naming of samples. The IGSN registration service will facilitate the discovery, access, and sharing of samples, ensure preservation and access of sample data, aid identification of samples in the literature, and advance the exchange of digital sample data among interoperable data systems, thus maximizing the utility of samples for research, education, and society.
Technical contact email
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Host institution of the resource
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Interface Languages
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Countries owning the source
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Types
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Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: Germany
Sea Region: World
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS06 Cross-discipline, DS08 Terrestrial
Keywords: IGSN, metadata, methodology, physical samples, sample data, standardization
Last updated: 29/01/2021
International Standard Statistical Classification of Fishery Commodities - FAO (ODIS id: 992)
International Standard Statistical Classification of Fishery Commodities - FAO
Fish, as a highly perishable commodity, often undergoes treatments which prolong its shelf life and quality as food. Fish is also a very widely traded commodity. When considering statistical aspects related to fish and fish products in the fishery industry as a whole, one is faced with a wide variety of raw fishery materials, semi-processed and fully-processed commodities, crossing all the various fishery phases. The physical magnitude and value of the intake and output of the different kinds of fishery commodities can be measured in specified periods of time - days, weeks, seasons, years, etc. Statistics covering any of the above phases must be dovetailed, linked or integrated and the first indispensable step is an adequate fishery commodity classification. The classification can be used as statistical standard for more than one statistical system, e.g. the trade system, industrial censuses, censuses of commercial and service establishments, wholesale and retail price systems, etc.
The FAO International Standard Statistical Classification of Fishery Commodities (ISSCFC) has been developed for the collation of national data in its fishery commodities production and trade databases. The ISSCFC is an expansion of the United Nations Standard International Trade Classification (SITC) developed by the United Nations' Statistical Office on the basis of earlier international work on the subject. It is linked with the Harmonized Commodity Description and Coding System (abbreviated to HS) of the World Customs Organization. The ISSCFC covers products derived from fish, crustaceans, molluscs and other aquatic animals, plants and residues caught for commercial, industrial or subsistence uses, by all types of fishing units operating in all aquatic environments, in inshore, offshore or high seas fishing. Commodities produced from the raw materials supplied by all kinds of aquaculture are also included.
The original classification is presented in Annex R.I and the currently used classification is presented in Annex R.II.
International Standard Statistical Classification of Fishery Commodities - FAO (ODIS id 992)
International Standard Statistical Classification of Fishery Commodities - FAO
Original (non-English) name
Acronym
ISSCFC - FAO
Citation
FAO. International Standard Statistical Classification of Fishery Commodities: Divisions and Group. FAO Fisheries Circular No.35. Rome, 1965. 14p.
Abstract
Fish, as a highly perishable commodity, often undergoes treatments which prolong its shelf life and quality as food. Fish is also a very widely traded commodity. When considering statistical aspects related to fish and fish products in the fishery industry as a whole, one is faced with a wide variety of raw fishery materials, semi-processed and fully-processed commodities, crossing all the various fishery phases. The physical magnitude and value of the intake and output of the different kinds of fishery commodities can be measured in specified periods of time - days, weeks, seasons, years, etc. Statistics covering any of the above phases must be dovetailed, linked or integrated and the first indispensable step is an adequate fishery commodity classification. The classification can be used as statistical standard for more than one statistical system, e.g. the trade system, industrial censuses, censuses of commercial and service establishments, wholesale and retail price systems, etc.
The FAO International Standard Statistical Classification of Fishery Commodities (ISSCFC) has been developed for the collation of national data in its fishery commodities production and trade databases. The ISSCFC is an expansion of the United Nations Standard International Trade Classification (SITC) developed by the United Nations' Statistical Office on the basis of earlier international work on the subject. It is linked with the Harmonized Commodity Description and Coding System (abbreviated to HS) of the World Customs Organization. The ISSCFC covers products derived from fish, crustaceans, molluscs and other aquatic animals, plants and residues caught for commercial, industrial or subsistence uses, by all types of fishing units operating in all aquatic environments, in inshore, offshore or high seas fishing. Commodities produced from the raw materials supplied by all kinds of aquaculture are also included.
The original classification is presented in Annex R.I and the currently used classification is presented in Annex R.II.
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: fish products, fishery commodity classification, fishery industry, raw fishery materials
Last updated: 09/10/2021
International Standard Statistical Classification of Fishing Gear - FAO (ODIS id: 991)
International Standard Statistical Classification of Fishing Gear - FAO
The International Standard Statistical Classification of Fishing Gear (ISSCFG) was originally adopted during the 10th Session of the CWP (Madrid, 22-29 July 1980). The revised Classification – ISSCFG Revision 1 (Annex M II) – has been endorsed and adopted for CWP Member's implementation by the CWP at its 25th Session (Rome, 23-26 February 2016).
The 23rd session of CWP (Hobart, 22–26 February 2010) decided to review and update this classification. The revision was made in accordance with the effort commenced in 2005 by the ICES/FAO Working Group on Fishing Technology and Fish Behaviour (WGFTFB) to update the technical contents of the technical report published in 1990 (FAO Technical Report 222/Rev.1).
The draft proposal of the revised classification (Annex M II) was developed in October 2010 by the 'Ad hoc group for developing the draft revision of CWP gear classification' held in close collaboration with the WGFTFB. The revised version of the ISSCFG was first approved at the 24th Session of the CWP (Rome, 5–8 February 2013) and finally approved at the 25th CWP Session (Rome, 23-26 February 2016).
Although this classification was initially designed to improve the compilation of harmonised catch and effort data in the STATLANT B questionnaires and fish stock assessment exercises, it has also been found useful for fisheries technology development and the training of fishers. It has been used in particular for reference in work dealing with the theory and construction of gear and for the preparation of specialized catalogues on both artisanal and industrial fishing methods.
Annex M III describes the revisions and provides the correspondence between International Standard Statistical Classification of Fishing Gear (ISSCFG 1980, Annex M I) and its revised version (ISSCFG Rev1, 2010).
International Standard Statistical Classification of Fishing Gear - FAO (ODIS id 991)
International Standard Statistical Classification of Fishing Gear - FAO
Original (non-English) name
Acronym
ISSCFG - FAO
Citation
FAO. "Definition and Classification of Fishing gear categories", FAO Fisheries Technical Paper 222 Rev.I Rome, 1990.
Abstract
The International Standard Statistical Classification of Fishing Gear (ISSCFG) was originally adopted during the 10th Session of the CWP (Madrid, 22-29 July 1980). The revised Classification – ISSCFG Revision 1 (Annex M II) – has been endorsed and adopted for CWP Member's implementation by the CWP at its 25th Session (Rome, 23-26 February 2016).
The 23rd session of CWP (Hobart, 22–26 February 2010) decided to review and update this classification. The revision was made in accordance with the effort commenced in 2005 by the ICES/FAO Working Group on Fishing Technology and Fish Behaviour (WGFTFB) to update the technical contents of the technical report published in 1990 (FAO Technical Report 222/Rev.1).
The draft proposal of the revised classification (Annex M II) was developed in October 2010 by the 'Ad hoc group for developing the draft revision of CWP gear classification' held in close collaboration with the WGFTFB. The revised version of the ISSCFG was first approved at the 24th Session of the CWP (Rome, 5–8 February 2013) and finally approved at the 25th CWP Session (Rome, 23-26 February 2016).
Although this classification was initially designed to improve the compilation of harmonised catch and effort data in the STATLANT B questionnaires and fish stock assessment exercises, it has also been found useful for fisheries technology development and the training of fishers. It has been used in particular for reference in work dealing with the theory and construction of gear and for the preparation of specialized catalogues on both artisanal and industrial fishing methods.
Annex M III describes the revisions and provides the correspondence between International Standard Statistical Classification of Fishing Gear (ISSCFG 1980, Annex M I) and its revised version (ISSCFG Rev1, 2010).
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: fishing gear
Last updated: 09/10/2021
Italian Thesaurus of Sciences of the Earth (ODIS id: 1451)
http://purl.org/NET/ThISTWebPage
The APAT library makes for the first time available for the scientific community the ThIST (Thesauru ...
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Italian Thesaurus of Sciences of the Earth
The APAT library makes for the first time available for the scientific community the ThIST (Thesaurus Italiano di Scienze della Terra - Italian Thesaurus of Sciences of the Earth) in bilingual version, Italian and English. It is the result of a nearly total revision of the thesaurus born by the integration among the terminological database of the former Library of the Italy Geological Service (today APAT Library) and the thesaurus published by the CNR in 1997. It is tightly connected to the Multilingual Thesaurus of Geosciences (MTG), realized by the International workgroup MTG, in which Italy is represented by APAT. It is already used for the cataloguing of the biblio-cartographic material (monographs, articles of periodicals, papers) possessed by the Library and the recovery of the related information.
Italian Thesaurus of Sciences of the Earth (ODIS id 1451)
The APAT library makes for the first time available for the scientific community the ThIST (Thesaurus Italiano di Scienze della Terra - Italian Thesaurus of Sciences of the Earth) in bilingual version, Italian and English. It is the result of a nearly total revision of the thesaurus born by the integration among the terminological database of the former Library of the Italy Geological Service (today APAT Library) and the thesaurus published by the CNR in 1997. It is tightly connected to the Multilingual Thesaurus of Geosciences (MTG), realized by the International workgroup MTG, in which Italy is represented by APAT. It is already used for the cataloguing of the biblio-cartographic material (monographs, articles of periodicals, papers) possessed by the Library and the recovery of the related information.
Types: Code lists and vocabularies
Languages: English, Italian
Countries: Italy
Host Countries: Italy
Sea Region: no searegion defined
Themes: DS06 Cross-discipline
Keywords: Earth Science vocabularies, earth science, geosciences, thesaurus, vocabularies, vocabulary/ ontology terms
Last updated: 19/10/2021
Keyhole Markup Language - Open Geospatial Consortium (ODIS id: 1146)
https://www.ogc.org/standards/kml/
Google submitted KML (formerly Keyhole Markup Language) to the Open Geospatial Consortium (OGC) to b ...
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Keyhole Markup Language - Open Geospatial Consortium
Google submitted KML (formerly Keyhole Markup Language) to the Open Geospatial Consortium (OGC) to be evolved within the OGC consensus process with the following goal: KML Version 2.2 has been adopted as an OGC implementation standard. Future versions may be harmonized with relevant OGC standards that comprise the OGC standards baseline. There are four objectives for this standards work:
That there be one international standard language for expressing geographic annotation and visualization on existing or future web-based online and mobile maps (2d) and earth browsers (3d).
That KML be aligned with international best practices and standards, thereby enabling greater uptake and interoperability of earth browser implementations.
That the OGC and Google will work collaboratively to ensure that the KML implementer community is properly engaged in the process and that the KML community is kept informed of progress and issues.
That the OGC process will be used to ensure proper life-cycle management of the KML Standard, including such issues as backward compatibility.
The OGC has developed a broad Standards Baseline. Google and the OGC believe that having KML fit within that family will encourage broader implementation and greater interoperability and sharing of earth browser content and context.
KML is an XML language focused on geographic visualization, including annotation of maps and images. Geographic visualization includes not only the presentation of graphical data on the globe but also the control of the user's navigation in the sense of where to go and where to look.
From this perspective, KML is complementary to most of the key existing OGC standards including GML (Geography Markup Language), WFS (Web Feature Service) and WMS (Web Map Service). Currently, KML 2.2 utilizes certain geometry elements derived from GML 2.1.2. These elements include point, line string, linear ring, and polygon.
The OGC and Google have agreed that there can be additional harmonization of KML with GML (e.g. to use the same geometry representation) in the future. The Mass Market Geo Working Group (MMWG) in the OGC will establish such additional harmonization activities. OGC specifications such as Context and Styled Layer Descriptor (SLD) may be considered.
Keyhole Markup Language - Open Geospatial Consortium (ODIS id 1146)
Keyhole Markup Language - Open Geospatial Consortium
Original (non-English) name
Acronym
KML - OGC
Citation
Abstract
Google submitted KML (formerly Keyhole Markup Language) to the Open Geospatial Consortium (OGC) to be evolved within the OGC consensus process with the following goal: KML Version 2.2 has been adopted as an OGC implementation standard. Future versions may be harmonized with relevant OGC standards that comprise the OGC standards baseline. There are four objectives for this standards work:
That there be one international standard language for expressing geographic annotation and visualization on existing or future web-based online and mobile maps (2d) and earth browsers (3d).
That KML be aligned with international best practices and standards, thereby enabling greater uptake and interoperability of earth browser implementations.
That the OGC and Google will work collaboratively to ensure that the KML implementer community is properly engaged in the process and that the KML community is kept informed of progress and issues.
That the OGC process will be used to ensure proper life-cycle management of the KML Standard, including such issues as backward compatibility.
The OGC has developed a broad Standards Baseline. Google and the OGC believe that having KML fit within that family will encourage broader implementation and greater interoperability and sharing of earth browser content and context.
KML is an XML language focused on geographic visualization, including annotation of maps and images. Geographic visualization includes not only the presentation of graphical data on the globe but also the control of the user's navigation in the sense of where to go and where to look.
From this perspective, KML is complementary to most of the key existing OGC standards including GML (Geography Markup Language), WFS (Web Feature Service) and WMS (Web Map Service). Currently, KML 2.2 utilizes certain geometry elements derived from GML 2.1.2. These elements include point, line string, linear ring, and polygon.
The OGC and Google have agreed that there can be additional harmonization of KML with GML (e.g. to use the same geometry representation) in the future. The Mass Market Geo Working Group (MMWG) in the OGC will establish such additional harmonization activities. OGC specifications such as Context and Styled Layer Descriptor (SLD) may be considered.
Technical contact email
please check the record details page
Host institution of the resource
Technical notes
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Bibliographic infobases including library catalogues and document repositories, Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: Open Geospatial Consortium, geographic information, google, international standards, interoperability, standardization
Last updated: 06/02/2021
Linked Thesaurus fRamework for Environment - Institute for applied mathematics and information technologies (ODIS id: 1151)
http://linkeddata.ge.imati.cnr.it/
LusTRE is a multilingual Thesaurus Framework (TF) for the Environment developed as part of the eENVp ...
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Linked Thesaurus fRamework for Environment - Institute for applied mathematics and information technologies
LusTRE is a multilingual Thesaurus Framework (TF) for the Environment developed as part of the eENVplus project about infrastructures for the INSPIRE implementation. The Framework aims to provide shared standard and scientific terms for a common understanding of environmental data among the different communities operating in the different field of the Environment. It shall support better metadata compilation and metadata discovery for describing and finding INSPIRE data and services.
LusTRE addresses the needs of different user communities in sharing digital information at cross-border level, i.e. concept inter-operability and concept-availability in multiple languages as it is needed in metadata compilation and information discovery. It can be exploited by the National Environmental Agency, the International Environmental Agency, Environmental Communities as well as Terminological Experts and the Semantic Web Community.
LusTRE is characterised by three main components:
1. The knowledge infrastructure LusTRE-VOC, accessible by Vocabularies navigation tab, consists of a compilation of various environmental vocabularies and in the matching between the concepts addressed by them. In such a way, it is possible to navigate the vocabularies as one virtual integrated linked data source. The knowledge infrastructure includes vocabularies related to different INSPIRE data themes: multi-purpose environment thesauri as well as vocabularies for Biodiversity, Habitat, Biotopes, Species Distribution, Biogeographical Region, Protected Site, Geology, Air Quality etc. Moreover, their concepts are linked with the concepts of other vocabularies exposed in the LOD cloud.
2. The Web Service infrastructure LusTRE-ES, accessible by the Services tab, a set of Thesaurus Framework Exploitation Services that allows making optimum use of the knowledge contained in the knowledge infrastructure for improving existing metadata tools and geoportals. Different tools such as metadata editors, metadata validators, CSWs, information portals or specific application solutions, can use the services. Some use cases:
the exploitation services can deliver to a search engine synonymous, broader, narrower or related terms from several interlinked thesauri or controlled vocabularies which facilitates the cross-domain, cross-corpus, cross-boundary and multilingual search.
The automated cross-walking service between terms from different interlinked controlled vocabularies supports easier working beyond the scope and limitations of a single thesaurus or controlled vocabulary alone.
3. The explorative tool LusTRE-WEBe, accessible by the Exploration tab, which provides a human-accessible interface to search and browse the concepts of the knowledge infrastructure LusTRE-VOC exploiting the LusTRE-ES services. One specific subcomponent of LusTRE-WEBe is a tool for visual browsing LusTRE-WEBe-Vis, that allows the semantic explorative search among interlinked thesauri.
Linked Thesaurus fRamework for Environment - Institute for applied mathematics and information technologies (ODIS id 1151)
Linked Thesaurus fRamework for Environment - Institute for applied mathematics and information technologies
Original (non-English) name
Acronym
LusTRE - IMATI
Citation
Abstract
LusTRE is a multilingual Thesaurus Framework (TF) for the Environment developed as part of the eENVplus project about infrastructures for the INSPIRE implementation. The Framework aims to provide shared standard and scientific terms for a common understanding of environmental data among the different communities operating in the different field of the Environment. It shall support better metadata compilation and metadata discovery for describing and finding INSPIRE data and services.
LusTRE addresses the needs of different user communities in sharing digital information at cross-border level, i.e. concept inter-operability and concept-availability in multiple languages as it is needed in metadata compilation and information discovery. It can be exploited by the National Environmental Agency, the International Environmental Agency, Environmental Communities as well as Terminological Experts and the Semantic Web Community.
LusTRE is characterised by three main components:
1. The knowledge infrastructure LusTRE-VOC, accessible by Vocabularies navigation tab, consists of a compilation of various environmental vocabularies and in the matching between the concepts addressed by them. In such a way, it is possible to navigate the vocabularies as one virtual integrated linked data source. The knowledge infrastructure includes vocabularies related to different INSPIRE data themes: multi-purpose environment thesauri as well as vocabularies for Biodiversity, Habitat, Biotopes, Species Distribution, Biogeographical Region, Protected Site, Geology, Air Quality etc. Moreover, their concepts are linked with the concepts of other vocabularies exposed in the LOD cloud.
2. The Web Service infrastructure LusTRE-ES, accessible by the Services tab, a set of Thesaurus Framework Exploitation Services that allows making optimum use of the knowledge contained in the knowledge infrastructure for improving existing metadata tools and geoportals. Different tools such as metadata editors, metadata validators, CSWs, information portals or specific application solutions, can use the services. Some use cases:
the exploitation services can deliver to a search engine synonymous, broader, narrower or related terms from several interlinked thesauri or controlled vocabularies which facilitates the cross-domain, cross-corpus, cross-boundary and multilingual search.
The automated cross-walking service between terms from different interlinked controlled vocabularies supports easier working beyond the scope and limitations of a single thesaurus or controlled vocabulary alone.
3. The explorative tool LusTRE-WEBe, accessible by the Exploration tab, which provides a human-accessible interface to search and browse the concepts of the knowledge infrastructure LusTRE-VOC exploiting the LusTRE-ES services. One specific subcomponent of LusTRE-WEBe is a tool for visual browsing LusTRE-WEBe-Vis, that allows the semantic explorative search among interlinked thesauri.
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Contributing data to
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Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: thesaurus
Last updated: 17/05/2021
List of currencies sorted by country or area name - FAO (ODIS id: 993)
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: no searegion defined
Themes: DS11 Fisheries and aquaculture
Keywords: fisheries statistics, vocabularies
Last updated: 09/10/2021
List of FAO Major Fishing Areas. For statistical purposes, 27 major fishing areas have been internationally established to date. These comprise:
- eight major inland fishing areas covering the inland waters of the continents,
- nineteen major marine fishing areas covering the waters of the Atlantic, Indian, Pacific and Southern Oceans with their adjacent seas.
The major fishing areas, inland and marine, are listed below by two-digit codes and their names. To access maps and description of boundaries of each fishing area click on the relevant item in the list below or in the map showing the 19 major marine fishing areas.
List of FAO Major Fishing Areas. For statistical purposes, 27 major fishing areas have been internationally established to date. These comprise:
- eight major inland fishing areas covering the inland waters of the continents,
- nineteen major marine fishing areas covering the waters of the Atlantic, Indian, Pacific and Southern Oceans with their adjacent seas.
The major fishing areas, inland and marine, are listed below by two-digit codes and their names. To access maps and description of boundaries of each fishing area click on the relevant item in the list below or in the map showing the 19 major marine fishing areas.
Types: Code lists and vocabularies, Maps and atlases (geospatial products)
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: Fishing, fisheries, fisheries activities, fishing areas
Last updated: 09/10/2021
Controlled vocabularies (CV) can improve data discoverability, understanding, and reuse. Consider using terms from a CV when describing the contents of your data.
Controlled vocabularies (CV) can improve data discoverability, understanding, and reuse. Consider using terms from a CV when describing the contents of your data.
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Types
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Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS01 Biological oceanography, DS06 Cross-discipline, DS08 Terrestrial
Keywords: ecology, vocabularies
Last updated: 17/05/2021
Marine Microbial Biodiversity, Bioinformatics, Biotechnology Checklist - European Nucleotide Archive
The Micro B3 checklist is a multi-disciplinary standard developed by the Micro B3 Consortium for the description of marine microbial sampling. Content of the standard is grouped into six categories covering various aspects of marine microbial sampling. These categories are environment, measurement, sampling, event, sample and organism. The full adoption of the standard allows the generation of data records, which are MIxS compliant but also compliant to minimal reporting requirements of the oceanographic and marine biodiversity community, i.e. respectively the Common Data Index (CDI) and the OBIS schema, advancing the metadata interoperability across research domains. Nucleotide sequences of marine microbial samples described according to the Micro B3 checklist can be placed into a very rich environmental context. This checklist had originally been called the M2B3 checklist.
Marine Microbial Biodiversity, Bioinformatics, Biotechnology Checklist - European Nucleotide Archive (ODIS id 1109)
Marine Microbial Biodiversity, Bioinformatics, Biotechnology Checklist - European Nucleotide Archive
Original (non-English) name
Acronym
Micro B3 checklist - ENA
Citation
Abstract
The Micro B3 checklist is a multi-disciplinary standard developed by the Micro B3 Consortium for the description of marine microbial sampling. Content of the standard is grouped into six categories covering various aspects of marine microbial sampling. These categories are environment, measurement, sampling, event, sample and organism. The full adoption of the standard allows the generation of data records, which are MIxS compliant but also compliant to minimal reporting requirements of the oceanographic and marine biodiversity community, i.e. respectively the Common Data Index (CDI) and the OBIS schema, advancing the metadata interoperability across research domains. Nucleotide sequences of marine microbial samples described according to the Micro B3 checklist can be placed into a very rich environmental context. This checklist had originally been called the M2B3 checklist.
This repository contains MaRINET2 metadata schemas for:
- Data streams, where data stream represents recorded values of one variable,
- Datasets, where dataset represents the collection of one or multiple data streams.
The schemas are meant to be used when generating MaRINET2 compatible NetCDF files. An end-user should be able to fill in the above schemas, which are currently provided as YAML files, and use data conversion tools to read them and enrich NetCDF files prior to their publication and preservation.
The schemas are registered at FAIRsharing.org
This repository contains MaRINET2 metadata schemas for:
- Data streams, where data stream represents recorded values of one variable,
- Datasets, where dataset represents the collection of one or multiple data streams.
The schemas are meant to be used when generating MaRINET2 compatible NetCDF files. An end-user should be able to fill in the above schemas, which are currently provided as YAML files, and use data conversion tools to read them and enrich NetCDF files prior to their publication and preservation.
The schemas are registered at FAIRsharing.org
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Host institution of the resource
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Countries owning the source
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Types
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Contributing data to
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Types: Code lists and vocabularies
Languages: English
Countries: REGIONAL
Host Countries: REGIONAL
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: atmospheric state, marine environments, metadata, wind
Last updated: 27/01/2021
Medical Subject Headings - National Library of Medicine
The Medical Subject Headings (MeSH) thesaurus is a controlled and hierarchically-organized vocabulary produced by the National Library of Medicine. It is used for indexing, cataloging, and searching of biomedical and health-related information. MeSH includes the subject headings appearing in MEDLINE/PubMed, the NLM Catalog, and other NLM databases.
Medical Subject Headings - National Library of Medicine (ODIS id 1103)
Medical Subject Headings - National Library of Medicine
Original (non-English) name
Acronym
MeSH - NLM
Citation
Abstract
The Medical Subject Headings (MeSH) thesaurus is a controlled and hierarchically-organized vocabulary produced by the National Library of Medicine. It is used for indexing, cataloging, and searching of biomedical and health-related information. MeSH includes the subject headings appearing in MEDLINE/PubMed, the NLM Catalog, and other NLM databases.
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Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS12 Human activities
Keywords: Medical Subject Headings, biomedical and health-related information, vocabularies
Last updated: 02/12/2021
The NASA Thesaurus contains the authorized NASA subject terms used to index and retrieve materials in the NASA Technical Reports Server (NTRS). The scope of this controlled vocabulary includes not only aerospace engineering, but all supporting areas of engineering and physics, the natural space sciences (astronomy, astrophysics, and planetary science), Earth sciences, and the biological sciences. The NASA Thesaurus contains over 18,400 subject terms, 4,300 definitions, and more than 4,500 USE cross-references.
Please cite the NASA STI Program in your work if you incorporate/use the NASA Thesaurus. You may copy and paste any one of the standard citations below (be sure to change ‘SKOS’ to the file format you used):
APA
NASA STI Program. (2012). NASA thesaurus [Data file]. Retrieved from https://sti.nasa.gov/nasa-thesaurus/#thesaurus
MLA
NASA STI Program. NASA Thesaurus. Washington, DC: National Aeronautics and Space Administration, 2012. SKOS.
Chicago
NASA STI Program. NASA Thesaurus. SKOS. Washington, DC: National Aeronautics and Space Administration, 2012
Abstract
The NASA Thesaurus contains the authorized NASA subject terms used to index and retrieve materials in the NASA Technical Reports Server (NTRS). The scope of this controlled vocabulary includes not only aerospace engineering, but all supporting areas of engineering and physics, the natural space sciences (astronomy, astrophysics, and planetary science), Earth sciences, and the biological sciences. The NASA Thesaurus contains over 18,400 subject terms, 4,300 definitions, and more than 4,500 USE cross-references.
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography, DS06 Cross-discipline, DS12 Human activities
Keywords: aerospace engineering, biology, earth science, materials, natural space sciences, thesaurus, vocabularies
Last updated: 02/12/2021
North American Profile of ISO19115:2003 - Geographic information - Metadata - Federal Geographic Data Committee (ODIS id: 1143)
North American Profile of ISO19115:2003 - Geographic information - Metadata - Federal Geographic Data Committee
Standards for geographic metadata provide a common framework for the documentation of geographic
information in terms of terminology, definition, and structure. In 1995, the Canadian General Standard Board
published the Directory Information Describing Geo-referenced Datasets which introduced a standardized
metadata content for the description of geographic datasets. In 1998, the Federal Geographic Data
Committee introduced the Content Standard for Digital Geospatial Metadata which specifies a set of metadata
elements and its structure for the representation of geographic datasets. More recently ISO19115:2003
Geographic information – Metadata, an international standard that sets the basis for the description of
geographic data, has been released. This international standard provides a common framework for producing
and exchanging geographic metadata between nations.
In this context, the United States of America and Canada have agreed to revise their respective metadata
standards and develop a common profile of ISO19115:2003 Geographic information – Metadata. North
American Profile of ISO19115:2003 Geographic information – Metadata (NAP – Metadata) will enhance
interoperability of geographic information metadata in North America.
North American Profile of ISO19115:2003 - Geographic information - Metadata - Federal Geographic Data Committee (ODIS id 1143)
North American Profile of ISO19115:2003 - Geographic information - Metadata - Federal Geographic Data Committee
Original (non-English) name
Acronym
North American Profile of ISO19115:2003 - Geographic information - Metadata - FGDC
Citation
Abstract
Standards for geographic metadata provide a common framework for the documentation of geographic
information in terms of terminology, definition, and structure. In 1995, the Canadian General Standard Board
published the Directory Information Describing Geo-referenced Datasets which introduced a standardized
metadata content for the description of geographic datasets. In 1998, the Federal Geographic Data
Committee introduced the Content Standard for Digital Geospatial Metadata which specifies a set of metadata
elements and its structure for the representation of geographic datasets. More recently ISO19115:2003
Geographic information – Metadata, an international standard that sets the basis for the description of
geographic data, has been released. This international standard provides a common framework for producing
and exchanging geographic metadata between nations.
In this context, the United States of America and Canada have agreed to revise their respective metadata
standards and develop a common profile of ISO19115:2003 Geographic information – Metadata. North
American Profile of ISO19115:2003 Geographic information – Metadata (NAP – Metadata) will enhance
interoperability of geographic information metadata in North America.
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Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: geographic information, metadata, standardization
Last updated: 30/01/2021
Ocean abbreviation dictionary - Japanese Oceanographic Data Center (ODIS id: 1104)
Ocean abbreviation dictionary - Japanese Oceanographic Data Center
This is the collection of abbreviations and acronyms on oceanographic research and studies by marine science and international organizations and projects. Contents are abbreviations and acronyms and their full spelling, Japanese translation, and usual pronunciation. In addition, as for the Japanese translation, a temporary translation is posted for convenience even for those without an official translation. In order to make it a better dictionary, please contact us if you find any mistakes or you desire to add the contents.
Ocean abbreviation dictionary - Japanese Oceanographic Data Center (ODIS id 1104)
Ocean abbreviation dictionary - Japanese Oceanographic Data Center
Original (non-English) name
海洋略語辞典 - 日本海洋データセンター
Acronym
Ocean abbreviation dictionary - JODC
Citation
Abstract
This is the collection of abbreviations and acronyms on oceanographic research and studies by marine science and international organizations and projects. Contents are abbreviations and acronyms and their full spelling, Japanese translation, and usual pronunciation. In addition, as for the Japanese translation, a temporary translation is posted for convenience even for those without an official translation. In order to make it a better dictionary, please contact us if you find any mistakes or you desire to add the contents.
Types: Code lists and vocabularies
Languages: English, Japanese
Countries: Japan
Host Countries: Japan
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: abbreviations and acronyms, marine science, oceanographic research, vocabularies
Last updated: 11/10/2021
Official repository for Semantic Web for Earth and Environmental Terminology Ontologies (ODIS id: 1118)
http://sweetontology.net/
SWEET is a highly modular ontology suite with ~6000 concepts in ~200 separate ontologies covering Ea ...
more
Official repository for Semantic Web for Earth and Environmental Terminology Ontologies
SWEET is a highly modular ontology suite with ~6000 concepts in ~200 separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. SWEET’s own domain-specific ontologies, which extend the upper-level ontologies, can provide users interested in further developing a particular domain with a solid set of concepts to get started. SWEET ontologies are written in W3C Turtle; the Terse RDF Triple Language.
Official repository for Semantic Web for Earth and Environmental Terminology Ontologies (ODIS id 1118)
SWEET is a highly modular ontology suite with ~6000 concepts in ~200 separate ontologies covering Earth system science. SWEET is a mid-level ontology and consists of nine top-level concepts that can be used as a foundation for domain-specific ontologies that extend these top-level SWEET components. SWEET’s own domain-specific ontologies, which extend the upper-level ontologies, can provide users interested in further developing a particular domain with a solid set of concepts to get started. SWEET ontologies are written in W3C Turtle; the Terse RDF Triple Language.
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL, United States
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: Earth Science vocabularies, earth-science, linked data, ontology
Last updated: 02/12/2021
Ontobee - University of Michigan (ODIS id: 1155)
http://www.ontobee.org/
A linked data server designed for ontologies. Ontobee is aimed to facilitate ontology data sharing, ...
more
Ontobee - University of Michigan
A linked data server designed for ontologies. Ontobee is aimed to facilitate ontology data sharing, visualization, query, integration, and analysis. Ontobee dynamically dereferences and presents individual ontology term URIs to (i) HTML web pages for user-friendly web browsing and navigation, and to (ii) RDF source code for Semantic Web applications. Ontobee is the default linked data server for most OBO Foundry library ontologies. Ontobee has also been used for many non-OBO ontologies.
Ong E, Xiang Z, Zhao B, Liu Y, Lin Y, Zheng J, Mungall C, Courtot M, Ruttenberg A, He Y. Ontobee: A linked ontology data server to support ontology term dereferencing, linkage, query, and integration. Nucleic Acid Research. 2017 Jan 4;45(D1):D347-D352. PMID: 27733503. PMCID: PMC5210626.
Abstract
A linked data server designed for ontologies. Ontobee is aimed to facilitate ontology data sharing, visualization, query, integration, and analysis. Ontobee dynamically dereferences and presents individual ontology term URIs to (i) HTML web pages for user-friendly web browsing and navigation, and to (ii) RDF source code for Semantic Web applications. Ontobee is the default linked data server for most OBO Foundry library ontologies. Ontobee has also been used for many non-OBO ontologies.
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Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: ontology
Last updated: 17/05/2021
Open Microscopy Environment - Extensible Markup Language format (ODIS id: 1135)
Open Microscopy Environment - Extensible Markup Language format
OME-XML is a file format for storing microscopy information (both pixels and metadata) using the OME Data Model.
The purpose of OME-XML is to provide a rich, extensible way to save information concerning microscopy experiments and the images acquired therein, including:
dimensional parameters defining the scope of the image pixels (e.g. resolution, number of focal planes, number of time points, number of channels) the hardware configuration used to acquire the image planes (e.g. microscope, detectors, lenses, filters) the settings used with said hardware (e.g. physical size of the image planes in microns, laser gain and offset, channel configuration) the person performing the experiment some details regarding the experiment itself, such as a description, the type of experiment (e.g. FRET, time-lapse, fluorescence lifetime) and events occurring during acquisition (e.g. laser ablation, stage motion)
additional custom information you may wish to provide about your experiment in a structured form (known as Structured Annotations).
Open Microscopy Environment - Extensible Markup Language format (ODIS id 1135)
Open Microscopy Environment - Extensible Markup Language format
Original (non-English) name
Acronym
OME-XML format
Citation
Abstract
OME-XML is a file format for storing microscopy information (both pixels and metadata) using the OME Data Model.
The purpose of OME-XML is to provide a rich, extensible way to save information concerning microscopy experiments and the images acquired therein, including:
dimensional parameters defining the scope of the image pixels (e.g. resolution, number of focal planes, number of time points, number of channels) the hardware configuration used to acquire the image planes (e.g. microscope, detectors, lenses, filters) the settings used with said hardware (e.g. physical size of the image planes in microns, laser gain and offset, channel configuration) the person performing the experiment some details regarding the experiment itself, such as a description, the type of experiment (e.g. FRET, time-lapse, fluorescence lifetime) and events occurring during acquisition (e.g. laser ablation, stage motion)
additional custom information you may wish to provide about your experiment in a structured form (known as Structured Annotations).
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Types
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Contributing data to
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Types: Code lists and vocabularies
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS01 Biological oceanography, DS06 Cross-discipline
Keywords: data and information, metadata, microscopy image
Last updated: 29/01/2021
Open Microscopy Environment - Tagged Image File format (ODIS id: 1134)
Open Microscopy Environment - Tagged Image File format
The OME-TIFF format was created to maximize the respective strengths of OME-XML and TIFF. It takes advantage of the rich metadata defined in OME-XML while retaining the pixels in multi-page TIFF format for compatibility with many more applications.
An OME-TIFF dataset has the following characteristics:
Image planes are stored within one multi-page TIFF file, or across multiple TIFF files. Any image organization is feasible.
A complete OME-XML metadata block describing the dataset is embedded in each TIFF file’s header. Thus, even if some of the TIFF files in a dataset are misplaced, the metadata remains intact.
The OME-XML metadata block may contain anything allowed in a standard OME-XML file.
OME-TIFF uses the standard TIFF mechanism for storing one or more image planes in each of the constituent files, instead of encoding pixels as base64 chunks within the XML. Since TIFF is an image format, it makes sense to only use OME-TIFF as opposed to OME-XML, when there is at least one image plane.
Open Microscopy Environment - Tagged Image File format (ODIS id 1134)
Open Microscopy Environment - Tagged Image File format
Original (non-English) name
Acronym
OME-TIFF format
Citation
Abstract
The OME-TIFF format was created to maximize the respective strengths of OME-XML and TIFF. It takes advantage of the rich metadata defined in OME-XML while retaining the pixels in multi-page TIFF format for compatibility with many more applications.
An OME-TIFF dataset has the following characteristics:
Image planes are stored within one multi-page TIFF file, or across multiple TIFF files. Any image organization is feasible.
A complete OME-XML metadata block describing the dataset is embedded in each TIFF file’s header. Thus, even if some of the TIFF files in a dataset are misplaced, the metadata remains intact.
The OME-XML metadata block may contain anything allowed in a standard OME-XML file.
OME-TIFF uses the standard TIFF mechanism for storing one or more image planes in each of the constituent files, instead of encoding pixels as base64 chunks within the XML. Since TIFF is an image format, it makes sense to only use OME-TIFF as opposed to OME-XML, when there is at least one image plane.
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Countries owning the source
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Types
Interaction techs
Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS01 Biological oceanography, DS06 Cross-discipline
Keywords: Image planes, data and information, metadata, microscopy image
Last updated: 29/01/2021
Open Microscopy Environment - Web Ontology Language (ODIS id: 1136)
Open Microscopy Environment - Web Ontology Language
Investigation of semantic formats for representing Open Microscopy Environment (OME) metadata. The ontology is designed to be equivalent to OME data model. More concretely, I converted the XML-based OME schema into OWL by hand, without any data converter programs.
Open Microscopy Environment - Web Ontology Language (ODIS id 1136)
Open Microscopy Environment - Web Ontology Language
Original (non-English) name
Acronym
OME-OWL
Citation
Abstract
Investigation of semantic formats for representing Open Microscopy Environment (OME) metadata. The ontology is designed to be equivalent to OME data model. More concretely, I converted the XML-based OME schema into OWL by hand, without any data converter programs.
Technical contact email
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Host institution of the resource
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Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: United Kingdom
Host Countries: United Kingdom
Sea Region: World
Themes: DS01 Biological oceanography, DS06 Cross-discipline
Keywords: OME data model, Open Microscopy Environment, microscopy image, ontology, semantic formats
Last updated: 29/01/2021
PROV Onthology - World Wide Web Consortium (ODIS id: 2301)
https://www.w3.org/TR/prov-o/
The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Langu ...
more
PROV Onthology - World Wide Web Consortium
The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents.
PROV Onthology - World Wide Web Consortium (ODIS id 2301)
The PROV Ontology (PROV-O) expresses the PROV Data Model [PROV-DM] using the OWL2 Web Ontology Language (OWL2) [OWL2-OVERVIEW]. It provides a set of classes, properties, and restrictions that can be used to represent and interchange provenance information generated in different systems and under different contexts. It can also be specialized to create new classes and properties to model provenance information for different applications and domains. The PROV Document Overview describes the overall state of PROV, and should be read before other PROV documents.
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Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL, United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: ontology, standardization
Last updated: 24/09/2021
Reference Tables Management System - FAO Fisheries Global Information System (ODIS id: 994)
Reference Tables Management System - FAO Fisheries Global Information System
When the 1995 Code of Conduct For Responsible Fisheries was approved as a basis for policies aimed at sustainable fisheries, a major need for reliable, high-quality and relevant information on the state of world fisheries was identified. FIGIS - the fisheries global information system - was established to address this need.
FIGIS is an information management tool that interconnects groups of institutional partnerships to build up a network of subsystems. FIGIS, as part of the FAO Fisheries and Aquaculture Department's regular activities acts as a framework with reference to FAO information management policy. FIGIS delivers expert knowledge, a set of software tools, collaborative mechanisms, and interoperability solutions to a broad range of needs in fisheries information.
With the adoption by the Committee on Fisheries of the Strategy for Improving Information on Status and Trends of Capture Fisheries (STF) on 28 February 2003, FIGIS becomes one of the privileged tools for its implementation.
Reference Tables Management System - FAO Fisheries Global Information System (ODIS id 994)
Reference Tables Management System - FAO Fisheries Global Information System
Original (non-English) name
Acronym
RTMS - FAO FIGIS
Citation
Fisheries Global Information System (FAO-FIGIS) - Web site. Fisheries Global Information System (FIGIS). FI Institutional Websites. In: FAO Fisheries Division [online]. Rome. Updated.
Abstract
When the 1995 Code of Conduct For Responsible Fisheries was approved as a basis for policies aimed at sustainable fisheries, a major need for reliable, high-quality and relevant information on the state of world fisheries was identified. FIGIS - the fisheries global information system - was established to address this need.
FIGIS is an information management tool that interconnects groups of institutional partnerships to build up a network of subsystems. FIGIS, as part of the FAO Fisheries and Aquaculture Department's regular activities acts as a framework with reference to FAO information management policy. FIGIS delivers expert knowledge, a set of software tools, collaborative mechanisms, and interoperability solutions to a broad range of needs in fisheries information.
With the adoption by the Committee on Fisheries of the Strategy for Improving Information on Status and Trends of Capture Fisheries (STF) on 28 February 2003, FIGIS becomes one of the privileged tools for its implementation.
Types: Code lists and vocabularies
Languages: English, Spanish, French
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: no searegion defined
Themes: DS11 Fisheries and aquaculture
Keywords: FIGIS, Responsible Fisheries, Status and Trends, capture fisheries, expert knowledge, fisheries global information system, fisheries information, fisheries policies, sustainable fisheries
Last updated: 09/10/2021
Schema Representations - Meta-omics Data and Collection Objects (ODIS id: 1124)
Schema Representations - Meta-omics Data and Collection Objects
Conceptual and procedural schemas and community standards are established to provide a common understanding of the meaning or semantics of data, concepts and data pipelines. They are built on sets of vocabulary/ ontology terms and naming conventions that can be used to describe resources for the purposes of discovery. Schema(s) and standard(s) enable structured data management and data exchange between data storage structures relying on them. Schema(s) might rely on standard vocabularies. In the MOD-CO project context, meta-omics-related vocabularies were evaluated and a generic naming convention for schema elements was set up.
Schema Representations - Meta-omics Data and Collection Objects (ODIS id 1124)
Schema Representations - Meta-omics Data and Collection Objects
Original (non-English) name
Acronym
Schema Representations - MOD-CO
Citation
Abstract
Conceptual and procedural schemas and community standards are established to provide a common understanding of the meaning or semantics of data, concepts and data pipelines. They are built on sets of vocabulary/ ontology terms and naming conventions that can be used to describe resources for the purposes of discovery. Schema(s) and standard(s) enable structured data management and data exchange between data storage structures relying on them. Schema(s) might rely on standard vocabularies. In the MOD-CO project context, meta-omics-related vocabularies were evaluated and a generic naming convention for schema elements was set up.
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Types: Code lists and vocabularies
Languages: English
Countries: Germany
Host Countries: Germany
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: semantics of data, Conceptual and procedural schemas, community standards, meta-omics data, ontology, vocabularies, vocabulary/ ontology terms
Last updated: 27/01/2021
A 3-layer hierarchy of discovery keywords leading to terms held in the BODC Parameter Usage Vocabulary (https://github.com/nvs-vocabs/P01). At the entry level are concepts from the SeaDataNet Parameter Disciplines (P08), followed by the SeaDataNet Agreed Parameter Groups (P03) and the SeaDataNet Parameter Discovery Vocabulary (P02).
A 3-layer hierarchy of discovery keywords leading to terms held in the BODC Parameter Usage Vocabulary (https://github.com/nvs-vocabs/P01). At the entry level are concepts from the SeaDataNet Parameter Disciplines (P08), followed by the SeaDataNet Agreed Parameter Groups (P03) and the SeaDataNet Parameter Discovery Vocabulary (P02).
ICES have the contents available as an RDF API: https://vocab.ices.dk/services/rdf/collection/SHIPC or XML API: https://vocab.ices.dk/services/pox/GetCodeList/SHIPC
Interface Languages
Contributing Countries
Countries owning the source
Sea Region
Spatial Coverage
Data policy
Metadata standard
Keywords
Themes
DOI's
Types
Interaction techs
Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: no searegion defined
Themes: DS01 Biological oceanography, DS02 Chemical oceanography, DS03 Physical oceanography, DS04 Marine geology, DS05 Atmosphere
Keywords: SeaDataNet, vocabularies
Last updated: 07/10/2021
Standardization of the minimum information for publication of infrared-related data when microplastics are characterized (ODIS id: 1117)
Standardization of the minimum information for publication of infrared-related data when microplastics are characterized
Infrared spectrometry (IR) became a workhorse to characterize microplastics (MPs) worldwide. However, reports on the experimental conditions to measure them decreased alarmingly. As complete, relevant information on the instrumental setup determining IR spectra is crucial for scientific reproducibility, ca. 50% of the papers that reported FTIR to measure MPs were evaluated and it was found that most studies cannot be replicated due to missing experimental details. To ameliorate this, the most critical parameters influencing IR spectra are depicted, their impact when matching a spectrum against databases exemplified, and, following efforts from other scientific fields, a minimum information for publication of IR-related data on MPs characterization (MIPIR-MP) is proposed, along with a brief, simple paragraph to resume the most critical information to be reported. This can be used to improve the worrying figures that point out to a reproducibility crisis in the field, as disclosed by the survey.
Standardization of the minimum information for publication of infrared-related data when microplastics are characterized (ODIS id 1117)
Standardization of the minimum information for publication of infrared-related data when microplastics are characterized
Original (non-English) name
Acronym
Citation
Jose M. Andrade, Borja Ferreiro, Purificación López-Mahía, Soledad Muniategui-Lorenzo,
Standardization of the minimum information for publication of infrared-related data when microplastics are characterized, Marine Pollution Bulletin, Volume 154, 2020, 111035, ISSN 0025-326X.
Abstract
Infrared spectrometry (IR) became a workhorse to characterize microplastics (MPs) worldwide. However, reports on the experimental conditions to measure them decreased alarmingly. As complete, relevant information on the instrumental setup determining IR spectra is crucial for scientific reproducibility, ca. 50% of the papers that reported FTIR to measure MPs were evaluated and it was found that most studies cannot be replicated due to missing experimental details. To ameliorate this, the most critical parameters influencing IR spectra are depicted, their impact when matching a spectrum against databases exemplified, and, following efforts from other scientific fields, a minimum information for publication of IR-related data on MPs characterization (MIPIR-MP) is proposed, along with a brief, simple paragraph to resume the most critical information to be reported. This can be used to improve the worrying figures that point out to a reproducibility crisis in the field, as disclosed by the survey.
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Types: Code lists and vocabularies
Languages: English
Countries: Spain
Host Countries: Spain
Sea Region: World
Themes: no theme defined
Keywords: information challenges, microplastics, quality control, standardization
Last updated: 02/12/2021
Sustainable Development Goals Interface Ontology (ODIS id: 1125)
The repository for the Sustainable Development Goals Interface Ontology (SDGIO). This project aims to clarify the nature of and interlinkages between the entities referenced by the SDGs, their targets, and indicators. SDGIO imports multiple OBO Foundry ontologies to help link data products to the SDGs.
Sustainable Development Goals Interface Ontology (ODIS id 1125)
The repository for the Sustainable Development Goals Interface Ontology (SDGIO). This project aims to clarify the nature of and interlinkages between the entities referenced by the SDGs, their targets, and indicators. SDGIO imports multiple OBO Foundry ontologies to help link data products to the SDGs.
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Contributing data to
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Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: SDG, Sustainable Development Goals, ontology
Last updated: 27/01/2021
The Teleost Taxonomy Ontology (TTO) is derived from the Catalog of Fishes (see also the representation on BioPortal, which can be navigated on-line). The TTO was developed from the Phenoscape I project and provides coverage of fish in the VTO. The TTO is updated in concert with Catalog of Fishes updates.
The Teleost taxonomy ontology is being used to facilitate annotation of phenotypes, particularly for taxa that are not covered by NCBI because no submissions of molecular data have been made. Taxonomy ontologies can also be valuable in annotating legacy data, where authors make phenotype or ecological assertions (e.g., host-parasite associations) that refer to groups that are reorganized or no longer recognized. The taxonomy ontology serves as the source of taxa for our project's use for identifying evolutionary changes that match the phenotype of a zebrafish mutant.
The Teleost Taxonomy Ontology (TTO) is derived from the Catalog of Fishes (see also the representation on BioPortal, which can be navigated on-line). The TTO was developed from the Phenoscape I project and provides coverage of fish in the VTO. The TTO is updated in concert with Catalog of Fishes updates.
The Teleost taxonomy ontology is being used to facilitate annotation of phenotypes, particularly for taxa that are not covered by NCBI because no submissions of molecular data have been made. Taxonomy ontologies can also be valuable in annotating legacy data, where authors make phenotype or ecological assertions (e.g., host-parasite associations) that refer to groups that are reorganized or no longer recognized. The taxonomy ontology serves as the source of taxa for our project's use for identifying evolutionary changes that match the phenotype of a zebrafish mutant.
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Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: ecological assertions, ontology, taxonomy, teleosts
Last updated: 29/01/2021
Term Portal - FAO (ODIS id: 988)
http://www.fao.org/faoterm/en/
The TERM PORTAL has been created to store, manage and update concepts, terms and definitions related ...
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Term Portal - FAO
The TERM PORTAL has been created to store, manage and update concepts, terms and definitions related to the various fields of FAO’s activity. The idea is to offer a single search window for all glossaries, in one or several languages, as a mechanism to enhance the exchange of information and facilitate communication.
The TERM PORTAL has been created to store, manage and update concepts, terms and definitions related to the various fields of FAO’s activity. The idea is to offer a single search window for all glossaries, in one or several languages, as a mechanism to enhance the exchange of information and facilitate communication.
Types: Code lists and vocabularies
Languages: Arabic, English, Spanish, French, Russian, Chinese
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS11 Fisheries and aquaculture
Keywords: information exchange, vocabularies
Last updated: 09/10/2021
An ontology is a formal representation of a disciplinary domain, representing a semantic standard that can be employed to annotate data where key concepts are defined, as well as the relationships that exist between those concepts (Gruber, 2009). Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis.
The Agronomy Ontology (AgrO) provides terms from the agronomy domain that are semantically organized and can facilitate the collection, storage and use of agronomic data, enabling easy interpretation and reuse of the data by humans and machines alike.
To fully understand the implications of varying practices within cropping systems and derive insights, it is often necessary to pull together information from data in different disciplinary domains. For example, data on-field management, soil, weather and crop phenotypes may need to be aggregated to assess the performance of a particular crop under different management interventions.
However, agronomic data are often collected, described, and stored in inconsistent ways, impeding data comparison, mining, interpretation reuse. The use of standards for metadata and data annotation plays a key role in addressing these challenges. While the CG Core Metadata Schema provides a metadata standard to describe agricultural datasets, the Agronomy Ontology enables the description of agronomic data variables using standard terms.
AgrO is being built from traits and parameters identified by agronomists, the ICASA Data Dictionary, and other existing ontologies such as the Environment Ontology, the Unit Ontology, and the Phenotype and Trait Ontology and enriched with the support of several scientists who bring their domain knowledge.
Aubert C., Buttigieg P.L., Laporte M.A., Devare M., Arnaud E., (2017) CGIAR Agronomy Ontology, http://purl.obolibrary.org/obo/agro.owl, licensed under CC BY 4.0
Abstract
An ontology is a formal representation of a disciplinary domain, representing a semantic standard that can be employed to annotate data where key concepts are defined, as well as the relationships that exist between those concepts (Gruber, 2009). Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis.
The Agronomy Ontology (AgrO) provides terms from the agronomy domain that are semantically organized and can facilitate the collection, storage and use of agronomic data, enabling easy interpretation and reuse of the data by humans and machines alike.
To fully understand the implications of varying practices within cropping systems and derive insights, it is often necessary to pull together information from data in different disciplinary domains. For example, data on-field management, soil, weather and crop phenotypes may need to be aggregated to assess the performance of a particular crop under different management interventions.
However, agronomic data are often collected, described, and stored in inconsistent ways, impeding data comparison, mining, interpretation reuse. The use of standards for metadata and data annotation plays a key role in addressing these challenges. While the CG Core Metadata Schema provides a metadata standard to describe agricultural datasets, the Agronomy Ontology enables the description of agronomic data variables using standard terms.
AgrO is being built from traits and parameters identified by agronomists, the ICASA Data Dictionary, and other existing ontologies such as the Environment Ontology, the Unit Ontology, and the Phenotype and Trait Ontology and enriched with the support of several scientists who bring their domain knowledge.
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Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS06 Cross-discipline, DS08 Terrestrial, DS10 Environment, DS12 Human activities
Keywords: AgrO, Agriculture, Agronomy Ontology, ontology
Last updated: 29/01/2021
The Generic Earth Observation Metadata Standard - Aura Validation Data Center (ODIS id: 1113)
The Generic Earth Observation Metadata Standard - Aura Validation Data Center
This document outlines the metadata and data structure requirements developed to facilitate the use of
geophysical datasets by improving their portability and accessibility, and by making their contents self-describing. This approach was originally selected to deal with atmospheric and oceanographic datasets but
has been recently expanded to support all measurements from Earth observation instruments.
The Generic Earth Observation Metadata Standard (GEOMS) metadata and data structure requirements
described in this document may be applied to any project where data are to be exchanged.
The Generic Earth Observation Metadata Standard - Aura Validation Data Center (ODIS id 1113)
The Generic Earth Observation Metadata Standard - Aura Validation Data Center
Original (non-English) name
Acronym
GEOMS - AVDC
Citation
Abstract
This document outlines the metadata and data structure requirements developed to facilitate the use of
geophysical datasets by improving their portability and accessibility, and by making their contents self-describing. This approach was originally selected to deal with atmospheric and oceanographic datasets but
has been recently expanded to support all measurements from Earth observation instruments.
The Generic Earth Observation Metadata Standard (GEOMS) metadata and data structure requirements
described in this document may be applied to any project where data are to be exchanged.
Theme Keyword Thesaurus - Coral Reef Information System
This document contains lists of keywords used in metadata to help describe coral reef data sets. The lists are useful in creating metadata and in searching for coral reef data and information.
Theme Keyword Thesaurus - Coral Reef Information System (ODIS id 1106)
Theme Keyword Thesaurus - Coral Reef Information System
Original (non-English) name
Acronym
Theme Keyword Thesaurus - CoRIS
Citation
Abstract
This document contains lists of keywords used in metadata to help describe coral reef data sets. The lists are useful in creating metadata and in searching for coral reef data and information.
Types: Code lists and vocabularies
Languages: English
Countries: United States
Host Countries: United States
Sea Region: World
Themes: DS01 Biological oceanography
Keywords: Ecosystems, coral reefs, ecology, metadata, oceans, thesaurus
Last updated: 11/10/2021
Tidal Datums - NOAA Center for Operational Oceanographic Products and Services (ODIS id: 2482)
Tidal Datums - NOAA Center for Operational Oceanographic Products and Services
In general, a datum is a base elevation used as a reference from which to reckon heights or depths. A tidal datum is a standard elevation defined by a certain phase of the tide. Tidal datums are used as references to measure local water levels and should not be extended into areas having differing oceanographic characteristics without substantiating measurements. In order that they may be recovered when needed, such datums are referenced to fixed points known as bench marks. Tidal datums are also the basis for establishing privately owned land, state owned land, territorial sea, exclusive economic zone, and high seas boundaries. Below are definitions of tidal datums maintained by the Center for Operational Oceanographic Products and Services.
Tidal Datums - NOAA Center for Operational Oceanographic Products and Services (ODIS id 2482)
Tidal Datums - NOAA Center for Operational Oceanographic Products and Services
Original (non-English) name
Acronym
Tidal Datums - NOAA-CO-OPS
Citation
Abstract
In general, a datum is a base elevation used as a reference from which to reckon heights or depths. A tidal datum is a standard elevation defined by a certain phase of the tide. Tidal datums are used as references to measure local water levels and should not be extended into areas having differing oceanographic characteristics without substantiating measurements. In order that they may be recovered when needed, such datums are referenced to fixed points known as bench marks. Tidal datums are also the basis for establishing privately owned land, state owned land, territorial sea, exclusive economic zone, and high seas boundaries. Below are definitions of tidal datums maintained by the Center for Operational Oceanographic Products and Services.
Types: Code lists and vocabularies
Languages: English
Countries: United States
Host Countries: United States
Sea Region: no searegion defined
Themes: DS03 Physical oceanography
Keywords: tidal analysis, vocabularies, water level
Last updated: 02/10/2021
Tides and Currents Glossary - NOAA National Ocean Service (ODIS id: 2474)
Types: Code lists and vocabularies
Languages: English
Countries: United States
Host Countries: United States
Sea Region: no searegion defined
Themes: DS03 Physical oceanography
Keywords: vocabularies
Last updated: 05/02/2022
United Nations Code for Trade and Transport Locations (ODIS id: 858)
United Nations Code for Trade and Transport Locations
The "United Nations Code for Trade and Transport Locations" is commonly more known as "UN/LOCODE". Although managed and maintained by the UNECE, it is the product of a wide collaboration in the framework of the joint trade facilitation effort undertaken within the United Nations.
Initiated within the UNECE Working Party on Trade Facilitation, UN/LOCODE is based on a code structure set up by UN/ECLAC and a list of locations originating in UN/ESCAP, developed in UNCTAD in co-operation with transport organisations like IATA and the ICS and with active contributions from national governments and commercial bodies. Its first issue in 1981 provided codes to represent the names of some 8.000 locations in the world.
Currently, UN/LOCODE includes over 103,034 locations in 249 countries and territories. It is used by most major shipping companies, by freight forwarders and in the manufacturing industry around the world. It is also applied by national governments and in trade related activities, such as statistics where it is used by the European Union, by the UPU for certain postal services, etc
United Nations Code for Trade and Transport Locations (ODIS id 858)
United Nations Code for Trade and Transport Locations
Original (non-English) name
Acronym
UN/LOCODE
Citation
Abstract
The "United Nations Code for Trade and Transport Locations" is commonly more known as "UN/LOCODE". Although managed and maintained by the UNECE, it is the product of a wide collaboration in the framework of the joint trade facilitation effort undertaken within the United Nations.
Initiated within the UNECE Working Party on Trade Facilitation, UN/LOCODE is based on a code structure set up by UN/ECLAC and a list of locations originating in UN/ESCAP, developed in UNCTAD in co-operation with transport organisations like IATA and the ICS and with active contributions from national governments and commercial bodies. Its first issue in 1981 provided codes to represent the names of some 8.000 locations in the world.
Currently, UN/LOCODE includes over 103,034 locations in 249 countries and territories. It is used by most major shipping companies, by freight forwarders and in the manufacturing industry around the world. It is also applied by national governments and in trade related activities, such as statistics where it is used by the European Union, by the UPU for certain postal services, etc
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Excel/ Report
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Types
Interaction techs
Contributing data to
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Types: Bibliographic infobases including library catalogues and document repositories, Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: Switzerland, GLOBAL
Sea Region: World
Themes: DS12 Human activities
Keywords: Trade Facilitation, Trade activities, shipping
Last updated: 30/11/2020
Variable Thesaurus - International Arctic Systems for Observing the Atmosphere (ODIS id: 2966)
Variable Thesaurus - International Arctic Systems for Observing the Atmosphere
IASOA has concatenated the measurement vocabularies (mostly non-overlapping) of three major atmospheric & climatological measurement programs (GAW, DOE, GCW) into a single, comprehensive measurement thesaurus covering relevant observations from IASOA observatories. Each of the vocabularies follows a 3-tiered hierarchy from "category" -> "sub-category" -> "measurement". We use this system for organizing search results in our data portal. We also allow for the addition of synonyms to each of the measurements. Synonyms give us flexibility when ingesting and sorting metadata contributions from archives with their own distinct vocabulary. Importantly, synonyms also allow us to map to the expanding field of non-ambiguous cf standard names.
Variable Thesaurus - International Arctic Systems for Observing the Atmosphere (ODIS id 2966)
Variable Thesaurus - International Arctic Systems for Observing the Atmosphere
Original (non-English) name
Acronym
Variable Thesaurus - IASOA
Citation
Abstract
IASOA has concatenated the measurement vocabularies (mostly non-overlapping) of three major atmospheric & climatological measurement programs (GAW, DOE, GCW) into a single, comprehensive measurement thesaurus covering relevant observations from IASOA observatories. Each of the vocabularies follows a 3-tiered hierarchy from "category" -> "sub-category" -> "measurement". We use this system for organizing search results in our data portal. We also allow for the addition of synonyms to each of the measurements. Synonyms give us flexibility when ingesting and sorting metadata contributions from archives with their own distinct vocabulary. Importantly, synonyms also allow us to map to the expanding field of non-ambiguous cf standard names.
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Contributing data to
Obtaining data from
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: no searegion defined
Themes: DS05 Atmosphere, DS09 Cryosphere
Keywords: atmosphere, climate, thesaurus, vocabulary/ ontology terms
Last updated: 06/12/2021
Vocabulary - Gulf of Mexico Coastal Ocean Observing System (ODIS id: 2617)
Types: Code lists and vocabularies
Languages: English
Countries: REGIONAL
Host Countries: United States
Sea Region: no searegion defined
Themes: DS06 Cross-discipline
Keywords: interoperability, vocabularies
Last updated: 14/10/2021
Vocabulary Server - International Council for the Exploration of the Sea (ODIS id: 179)
http://vocab.ices.dk/
The ICES Vocabulary Server is the reference code library for dataset collections and includes ext ...
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Vocabulary Server - International Council for the Exploration of the Sea
The ICES Vocabulary Server is the reference code library for dataset collections and includes externally referenced controlled lists used by ICES.
Vocabulary Server - International Council for the Exploration of the Sea (ODIS id 179)
Water Markup Language - Open Geospatial Consortium
WaterML 2.0 is a standard information model for the representation of water observations data, with the intent of allowing the exchange of such data sets across information systems. Through the use of existing OGC standards, it aims at being an interoperable exchange format that may be re-used to address a range of exchange requirements, some of which are described later in this document.
Water Markup Language - Open Geospatial Consortium (ODIS id 1147)
Water Markup Language - Open Geospatial Consortium
Original (non-English) name
Acronym
WaterML - OGC
Citation
Abstract
WaterML 2.0 is a standard information model for the representation of water observations data, with the intent of allowing the exchange of such data sets across information systems. Through the use of existing OGC standards, it aims at being an interoperable exchange format that may be re-used to address a range of exchange requirements, some of which are described later in this document.
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Keywords
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Types
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Contributing data to
Obtaining data from
Types: Bibliographic infobases including library catalogues and document repositories, Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: United States
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: Open Geospatial Consortium, interoperable exchange format, standard information model, standardization
Last updated: 06/02/2021
Water Markup Language 2 - World Meteorological Organization (ODIS id: 1156)
http://www.waterml2.org/
WaterML2 is a new data exchange standard in Hydrology which can basically be used to exchange many k ...
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Water Markup Language 2 - World Meteorological Organization
WaterML2 is a new data exchange standard in Hydrology which can basically be used to exchange many kinds of hydro-meteorological observations and measurements. WaterML2 has been initiated and designed over a period of several years by a group of major national and international organizations from public and private sector, such as CSIRO, CUAHSI, USGS, BOM, NOAA, KISTERS and others. WaterML2 has been developed within the OGC Hydrology Domain Working group which has a mandate by the WMO, too.
Water Markup Language 2 - World Meteorological Organization (ODIS id 1156)
Water Markup Language 2 - World Meteorological Organization
Original (non-English) name
Acronym
WaterML2 - WMO
Citation
Abstract
WaterML2 is a new data exchange standard in Hydrology which can basically be used to exchange many kinds of hydro-meteorological observations and measurements. WaterML2 has been initiated and designed over a period of several years by a group of major national and international organizations from public and private sector, such as CSIRO, CUAHSI, USGS, BOM, NOAA, KISTERS and others. WaterML2 has been developed within the OGC Hydrology Domain Working group which has a mandate by the WMO, too.
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS06 Cross-discipline
Keywords: data exchange standard, hydrology, time-series
Last updated: 11/10/2021
WMO Codes Registry (ODIS id: 1105)
https://codes.wmo.int/
The World Meteorological Organisation (WMO) brings together national meteorological services to prom ...
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WMO Codes Registry
The World Meteorological Organisation (WMO) brings together national meteorological services to promote the sharing of data and services. It is a United Nations organisation.
This is the WMO Codes Registry, which publishes structured content from the official WMO manuals in a web accessible form.
A register publishes an official record of items.
In some cases, this will be a collection of other registers.
A registry is collection of registers, published by an authoritative source.
The WMO Codes Registry enables the WMO to publish codes as individual resources within a resource structure. These codes are officially managed within the \ WMO Manuals on Codes.
The World Meteorological Organisation (WMO) brings together national meteorological services to promote the sharing of data and services. It is a United Nations organisation.
This is the WMO Codes Registry, which publishes structured content from the official WMO manuals in a web accessible form.
A register publishes an official record of items.
In some cases, this will be a collection of other registers.
A registry is collection of registers, published by an authoritative source.
The WMO Codes Registry enables the WMO to publish codes as individual resources within a resource structure. These codes are officially managed within the \ WMO Manuals on Codes.
Types: Code lists and vocabularies
Languages: English
Countries: GLOBAL
Host Countries: GLOBAL
Sea Region: World
Themes: DS05 Atmosphere
Keywords: WMO Codes Registry, meteorological services, meteorology, vocabularies
Last updated: 11/10/2021