EMODnet Seabed Habitats WFS ServiceFS end-point for general datasets (data products, data points, composite datasets) held by EMODnet Seabed Habitats. Includes data with access limitations as "View and Download" (excludes "View only" data)WFSGeoserverWFS2.0.0NoneNoneJoint Nature Conservation CommitteeJNCC EMODnet Seabed Habitats TeamMonkstone House, City RoadPeterboroughCambridgeshirePE1 1JYUKemodnetseabedhabitats@jncc.gov.uk1.0.01.1.02.0.0text/xmlServiceIdentificationServiceProviderOperationsMetadataFeatureTypeListFilter_Capabilitiesapplication/gml+xml; version=3.2resultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvgml3gml32jsontext/csvtext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalFALSE1000000nonelocalapplication/gml+xml; version=3.2urn:ogc:def:queryLanguage:OGC-WFS::WFSQueryExpressionTRUEFALSEFALSETRUETRUETRUEFALSEFALSETRUETRUETRUETRUEFALSETRUEFALSEwfs:Querywfs:StoredQueryemodnet_open:art17_hab_1150Gridded distribution map for Annex I Coastal lagoons as reported by EU member states for 2013 Habitats Directive Article 17 reporting. Available from the European Environment Agency website at: https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1#tab-metadatafeatureshabitatshabitats directivebenthiceuropearticle 17urn:ogc:def:crs:EPSG::3035-47.58016608560816 24.8118845489511941.95248640506835 66.48149716149646emodnet_open:art17_hab_1130Gridded distribution map for Annex I Estuaries as reported by EU member states for 2013 Habitats Directive Article 17 reporting. Available from the European Environment Agency website at: https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1#tab-metadatafeatureshabitatshabitats directivebenthiceuropearticle 17urn:ogc:def:crs:EPSG::3035-24.26399209693715 34.652207681033841.7742053865814 66.48619499467115emodnet_open:art17_hab_1160Gridded distribution map for Annex I Large shallow inlets and bays as reported by EU member states for 2013 Habitats Directive Article 17 reporting. Available from the European Environment Agency website at: https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1#tab-metadatafeatureshabitatshabitats directivebenthiceuropearticle 17urn:ogc:def:crs:EPSG::3035-47.68894289953484 26.94096066452418742.30771198436557 66.48399096346206emodnet_open:art17_hab_1140Gridded distribution map for Annex I Mudflats and sandflats not covered by seawater at low tide as reported by EU member states for 2013 Habitats Directive Article 17 reporting. Available from the European Environment Agency website at: https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1#tab-metadatafeatureshabitatshabitats directivebenthiceuropearticle 17urn:ogc:def:crs:EPSG::3035-37.06372621686635 29.97136644346607841.7742053865814 66.4417457621181emodnet_open:art17_hab_1120Gridded distribution map for Annex I Posidonia beds as reported by EU member states for 2013 Habitats Directive Article 17 reporting. Available from the European Environment Agency website at: https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1#tab-metadatafeatureshabitatshabitats directivebenthiceuropearticle 17urn:ogc:def:crs:EPSG::3035-7.1860590488066025 32.4526111089692537.024814488110245 45.678155777396256emodnet_open:art17_hab_1170Gridded distribution map for Annex I Reefs as reported by EU member states for 2013 Habitats Directive Article 17 reporting. Available from the European Environment Agency website at: https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1#tab-metadatafeatureshabitatshabitats directivebenthiceuropearticle 17urn:ogc:def:crs:EPSG::3035-51.12327701458012 23.41186996773870652.334005372866415 66.33388661369831emodnet_open:art17_hab_1110Gridded distribution map for Annex I sandbanks as reported by EU member states for 2013 Habitats Directive Article 17 reporting. Available from the European Environment Agency website at: https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1#tab-metadatafeatureshabitatshabitats directivebenthiceuropearticle 17urn:ogc:def:crs:EPSG::3035-57.48689259821068 23.10753658077762359.53411022840026 71.02763509325875emodnet_open:art17_hab_1180Gridded distribution map for Annex I Submarine structures made by leaking gases as reported by EU member states for 2013 Habitats Directive Article 17 reporting. Available from the European Environment Agency website at: https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1#tab-metadatafeatureshabitatshabitats directivebenthiceuropearticle 17urn:ogc:def:crs:EPSG::3035-34.14763204147207 27.55605796912957212.727594115822136 60.784770326974005emodnet_open:biogenic_substrate_points_2025This layer shows the current known extent of biogenic substrate in European waters. This product was first produced in 2021 with the aim to add a new class of substrate into the EUSeaMap substrate layer. This was required in order to classify the EUSeaMap broad-scale habitat map according to the 2019 version of the EUNIS habitat classification system, which includes a biogenic substrate category. The geographic extent of this product was extended in 2023 to include jurisdictional waters (including continental shelf and claimed extended continental shelf) of EU Member States, the United Kingdom (UK) and Norway including areas in the Caribbean Sea. This layer has been updated in 2025.featuresbiogenic_substrate_points_2025benthiceunishabitatbiotopemarine157162Internal[Do not report]biogenic_substrate_poly_2025Product subsetFalseurn:ogc:def:crs:EPSG::3857-83.2500035165448 7.92999962046451535.83331608485071 72.25000154754818emodnet_open:biogenic_substrate_poly_2025This layer shows the current known extent of biogenic substrate in European waters. This product was first produced in 2021 with the aim to add a new class of substrate into the EUSeaMap substrate layer. The geographic extent of this product was extended in 2023 to include jurisdictional waters (including continental shelf and claimed extended continental shelf) of EU Member States, the United Kingdom (UK) and Norway including areas in the Caribbean Sea. This was required in order to classify the EUSeaMap broad-scale habitat map according to the 2019 version of the EUNIS habitat classification system, which includes a biogenic substrate category. This layer has been updated in 2025.featuresbiogenic_substrate_poly_2025benthiceunishabitatbiotopemarine157162Habitats - seabed habitats (including coastal wetlands) - composite productsFalseInternalbiogenic_substrate_points_2025urn:ogc:def:crs:EPSG::3857-17.15866746594404 32.7916667859410835.09462019777817 63.99050329143123emodnet_open:niva_carbonatesanddepositsnorwayThe aim of the National Program for Mapping Biodiversity – Coast is to provide Norwegian managers and planners with maps of the distribution of marine habitats and key areas for species. Carbonate sand is composed of skeletal fragments from marine organisms, mostly shells, snails, barnacles, sea urchins and calcareous algae, accumulating during the past 10 000 years. Carbonate sand deposits with ongoing production and accumulation were identified through distribution modelling (using statistical methods such as GAM, BRT, Maxent) based on presence–absence data of carbonate sand deposits from grab samples (collected by the Geological Survey of Norway). Depth, wave exposure and ocean current speed were the most important predictors. Polygon areas were derived from the model according to the routine established in the Norwegian National Program for Mapping Biodiversity – Coast.featuresbenthiceunishabitatbiotopemarineniva_carbonatesanddepositsnorwayurn:ogc:def:crs:EPSG::385757.95632379827048 4.46849334037720171.20585185213163 31.258367408039774emodnet_open:carib_eusm2025_fullOutput of the 2025 EUSeaMap broad-scale predictive model for the Caribbean region, produced by EMODnet Seabed Habitats. The extent of the mapped area covers the jurisdictional waters of EU Member States and the United Kingdom (UK) in the Caribbean Sea The map was produced using a "top-down" modelling approach using classified habitat descriptors to determine a final output habitat. Habitat descriptors differ per region but include: Biological zone Seabed substrate Biological zone is calculated using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions. The model is produced using R and ArcGIS Pro. The model was created using raster input layers with a cell size of 0.00104dd (roughly 100 metres). The model includes the sublittoral zone only; due to the high variability of the littoral zone, a lack of detailed substrate data and the resolution of the model, it is difficult to predict littoral habitats at this scale. For the Caribbean region EUSeaMap classified benthic broad habitat types are largely based on Andres et al. (2022) (linked in the Online Resources), which to our knowledge is the most comprehensive EUNIS-like classification of the Caribbean seabed habitats. Benthic broad habitat types are also described according to EUNIS 2022 classification level 2 and MSFD classification where possible. An accompanying confidence layer is available for viewing and download from EMODnet Seabed Habitats. A report on the methods used in the 2025 version of EUSeaMap/CaribbeanSeaMap will be added in due course, but reports on previous versions (v2019, v2021 and v2023) are available in the metadata. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commission.featuresbenthiceunishabitatbiotopemarinecarib_eusm2025_fullurn:ogc:def:crs:EPSG::385711.007291666005335 -70.4968749998467718.998958333339708 -59.50208333328304emodnet_open:carib_eusm2025_bio_fullPredictive Biological Zone layer produced by EMODnet Seabed Habitats as an input layer for the 2025 EUSeaMap broad-scale habitat model. The map of biological zone was produced using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions. The model is produced in R and Arc Model Builder (10.1). The model was created using raster input layers with a cell size of 0.00104dd (roughly 100 meters). An accompanying confidence layer is available for viewing and download from EMODnet Seabed Habitats. A report on the methods used in the 2025 version of EUSeaMap/CaribbeanSeaMap will be published in due course and reports on previous versions (v2019, v2021, v2023) are linked in lineage. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commission.featuresbenthiceunishabitatbiotopemarinecarib_eusm2025_biourn:ogc:def:crs:EPSG::3857-70.49687499984677 11.00729166600533-59.50208333328305 18.998958333339715emodnet_open:carib_eusm2025_msfd_fullOutput of the 2025 EUSeaMap broad-scale predictive model for the Caribbean region, produced by EMODnet Seabed Habitats in the MSFD classification. The extent of the mapped area covers the jurisdictional waters of EU Member States and the United Kingdom (UK) in the Caribbean Sea The map was produced using a "top-down" modelling approach using classified habitat descriptors to determine a final output habitat. Habitat descriptors differ per region but include: Biological zone Seabed substrate Biological zone is calculated using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions. The model is produced using R and ArcGIS Pro. The model was created using raster input layers with a cell size of 0.00104dd (roughly 100 metres). The model includes the sublittoral zone only; due to the high variability of the littoral zone, a lack of detailed substrate data and the resolution of the model, it is difficult to predict littoral habitats at this scale. For the Caribbean region EUSeaMap classified benthic broad habitat types are largely based on Andres et al. (2022) (linked in the Online Resources), which to our knowledge is the most comprehensive EUNIS-like classification of the Caribbean seabed habitats. Benthic broad habitat types are also described according to EUNIS 2022 classification level 2 and MSFD classification where possible. An accompanying confidence layer is available for viewing and download from EMODnet Seabed Habitats. A report on the methods used in the 2025 version of EUSeaMap/CaribbeanSeaMap will be added in due course, but reports on previous versions (v2019, v2021 and v2023) are available in the metadata. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commission.featuresbenthiceunishabitatbiotopemarinecarib_eusm2025_msfdurn:ogc:def:crs:EPSG::3857-70.49687499984677 11.00729166600533-59.50208333328305 18.998958333339715emodnet_open:carib_eusm2025_subs_fullClassified seabed substrate types for Caribbean seas, produced by EMODnet Seabed Habitats as an input layer for the 2023 EUSeaMap broad-scale habitat model. It is based on a combination of EMODnet Geology seabed substrate products and biological substrates extracted from individual habitat maps from surveys around Caribbean seas. The seabed substrate is the result of combining multiple datasets at multiple scales into a single dataset containing the best scale available at each location. The layer of seabed substrate was produced using data from EMODnet geology at the following scales: - 1:25k - Martinique and Guadeloupe islands - 1:1M - Elsewhere A report on the methods used in the 2025 version of EUSeaMap/CaribbeanSeaMap will be published in due course and reports on previous versions (v2019, v2021, v2023) are linked in the metadata. An accompanying confidence layer is linked as a child record for viewing and download. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commission.featuresbenthiceunishabitatbiotopemarinecarib_eusm2025_subsurn:ogc:def:crs:EPSG::3857-70.49687499984677 11.00729166600533-59.50208333328305 18.998958333339715emodnet_open:casp_eusm2025_subs_fullClassified seabed substrate types for European seas. Produced by EMODnet Seabed Habitats as an input layer for the 2025 EUSeaMap broad-scale habitat model for the Caspian region, based on a combination of EMODnet Geology seabed substrate products and biological substrates extracted form individual habitat maps from surveys around European seas. The extent of the mapped area includes the Caspian sea. The layer of seabed substrate was produced using data from EMODnet geology at the following scales: 1:10k, 1:500k, 1:1m, 1:5m. The seabed substrate include: Rock and other hard substrata Coarse substrate Mixed sediment Sand Muddy Sand Sandy Mud Mud Bottoms dominated by Mytilaster lineatus and Amphibalanus improvisus Bottoms dominated by Dreissena grimmi Biological substrates were included in the 2025 version of EUSeaMap to assist in the classification of biogenic habitats. A bespoke classification of benthic broad habitat types was developed as part of EMODnet Seabed Habitats. An accompanying confidence layer is available for viewing and download from EMODnet Seabed Habitats. A report on the methods used in the 2025 version of EUSeaMap will be added in due course, but reports on previous versions (v2019, v2021 and v2023) are available in the metadata. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commission.featuresbenthiceunishabitatbiotopemarinecasp_eusm2025_subsurn:ogc:def:crs:EPSG::385736.57187499961656 46.739583333724646.9864583327 54.0437500003685emodnet_open:casp_eusm2025_fullOutput of the 2025 EUSeaMap broad-scale predictive model for the Caspian region, produced by EMODnet Seabed Habitats. The extent of the mapped area includes the Caspian Sea. The map was produced using a "top-down" modelling approach using classified habitat descriptors to determine a final output habitat. Habitat descriptors differ per region but include: Biological zone Seabed substrate Habitat descriptors (excepting Substrate) are calculated using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions. The model is produced using R and ArcGIS Pro. The model was created using raster input layers with a cell size of 0.00104dd (roughly 100 metres). The model includes the sublittoral zone only; due to the high variability of the littoral zone, a lack of detailed substrate data and the resolution of the model, it is difficult to predict littoral habitats at this scale. A bespoke classification of benthic broad habitat types was developed as part of EMODnet Seabed Habitats. The classification of benthic broad habitat types used in column AllcombD was created as part of EMODnet Seabed Habitats. In column All2019DL2, benthic broad habitat types are described according to EUNIS 2022 classification level 2. In column MSFD_BBHT benthic broad habitat types are described according to MSFD classification. An accompanying confidence layer is available for viewing and download from EMODnet Seabed Habitats. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (www.emodnet-seabedhabitats.eu), funded by the European Commission.featuresbenthiceunishabitatbiotopemarinecasp_eusm2025urn:ogc:def:crs:EPSG::385736.57187499961656 46.739583333724646.9864583327 54.0437500003685emodnet_open:casp_eusm2025_bio_fullPredictive Biological Zone layer produced by EMODnet Seabed Habitats as an input layer for the 2025 EUSeaMap broad-scale habitat model for the Caspian region. The extent of the mapped area includes the Caspian sea. The map of biological zone was produced using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions. The model is produced in R and Arc Model Builder (10.1). The model was created using raster input layers with a cell size of 0.00104dd (roughly 100 meters). The model includes the sublittoral zone only (Infralittoral to Abyssal zone). The biological zones include: Infralittoral Offshore circalittoral Circalittoral Bathyal Abyssal An accompanying confidence layer is available for viewing and download from EMODnet Seabed Habitats. A report on the methods used in the 2025 version of EUSeaMap will be added in due course, but reports on previous versions (v2019, v2021 and v2023) are available in the metadata. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commission.featuresbenthiceunishabitatbiotopemarinecasp_eusm2025_biourn:ogc:def:crs:EPSG::385736.57187499961656 46.739583333724646.9864583327 54.0437500003685emodnet_open:casp_eusm2025_msfd_fullOutput of the 2025 EUSeaMap broad-scale predictive model for the Caspian region, produced by EMODnet Seabed Habitats in the MSFD classification. The extent of the mapped area includes the Caspian Sea. The map was produced using a "top-down" modelling approach using classified habitat descriptors to determine a final output habitat. Habitat descriptors differ per region but include: Biological zone Seabed substrate Habitat descriptors (excepting Substrate) are calculated using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions. The model is produced using R and ArcGIS Pro. The model was created using raster input layers with a cell size of 0.00104dd (roughly 100 metres). The model includes the sublittoral zone only; due to the high variability of the littoral zone, a lack of detailed substrate data and the resolution of the model, it is difficult to predict littoral habitats at this scale. A bespoke classification of benthic broad habitat types was developed as part of EMODnet Seabed Habitats. The classification of benthic broad habitat types used in column AllcombD was created as part of EMODnet Seabed Habitats. In column All2019DL2, benthic broad habitat types are described according to EUNIS 2022 classification level 2. In column MSFD_BBHT benthic broad habitat types are described according to MSFD classification. An accompanying confidence layer is available for viewing and download from EMODnet Seabed Habitats. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (www.emodnet-seabedhabitats.eu), funded by the European Commission.featuresbenthiceunishabitatbiotopemarinecasp_eusm2025_msfdurn:ogc:def:crs:EPSG::385746.73958333372461 36.5718749996165654.0437500003685 46.9864583327emodnet_open:coastal_wetlands_2023This data product shows the current known extent and distribution of coastal wetland type (RAMSAR classification) in European waters and jurisdictional waters of EU Member States and the UK in the Caribbean. This product was produced by combining coastal wetland datasets from EMODnet Seabed Habitats with Copernicus Corine Land Cover 2018 data. This data product was first created in May 2023 and will be updated with additional data as it becomes available.featurescoastal_wetlands_2023urn:ogc:def:crs:EPSG::3857-61.77965288011861 14.3966643715419543.166888078240824 71.06850087649889emodnet_open:coastal_wetlands_2025This data product shows the current known extent and distribution of coastal wetland type (RAMSAR classification) in European waters and jurisdictional waters of EU Member States and the UK in the Caribbean. This product was produced by combining coastal wetland datasets from EMODnet Seabed Habitats with Copernicus Corine Land Cover 2018 data. This data product was first created in May 2023 and most recently updated in September 2025.featurescoastal_wetlands_2025urn:ogc:def:crs:EPSG::3857-61.77965288011861 14.3966643715419543.166888078240824 71.06850087649889emodnet_open:habitat_point_eunisFully open-access habitat point data from EMODnet Seabed Habitats collated point data where presented within the EUNIS habitat classification system. Data can be filtered by EUNIS habitat in the "seabedtype" field, or using the web service vendor parameter "hab_type".featureshabitat_point_eunis_openenglishhabitateunisurn:ogc:def:crs:EPSG::4326-15.8469 34.89476829.5993 60.86075526815463emodnet_open:habitat_pointAll downloadable habitat point data collated by EMODnet Seabed Habitats, presented per measurement with relevant sample method joined where possible.featureshabitat_point_openurn:ogc:def:crs:EPSG::4326-16.35679333 34.700141.749133 73.472416emodnet_open:gems_annexi_fullThis dataset gives the extent of all AnnexI habitats within Scottish waters, extracted from the Nature Scot "Geodatabase of Marine features adjacent to Scotland" GeMS database. No simplification applied for close viewsfeaturesgems_annexiurn:ogc:def:crs:EPSG::3857-11.455863352521344 54.600348122725720.0319657839751536 60.81498852301732emodnet_open:coralligenous_platforms_poly_2025This layer shows the current known extent and distribution of Coralligenous and other calcareous bioconcretions in the Mediterranean. The point and polygon layers has been updated in 2025 by EMODnet Seabed Habitats. The data product was first created in 2021 with the aim to produce a data product that would provide the best compilation of evidence for this habitat, as described in the "Action Plan for the protection of the coralligenous and other calcareous bio-concretions in the Mediterranean". This data product contains large data gaps and should be viewed as incomplete.featurescoralligenous_platforms_poly_2025benthiceunishabitatbiotopemarine81092InternalHabitats - seabed habitats (including coastal wetlands) - composite productsFalsecoralligenous_platforms_points_2025urn:ogc:def:crs:EPSG::3857-25.443502569193786 33.0330114391986835.09462019777817 44.66080622266881emodnet_open:eea_extended_wetlandseea_extended_wetlandsfeatureshabitatbenthicbiotopemarineExternalFalseeea_extended_wetlands16522emodnet_sbh_admin_repcaturn:ogc:def:crs:EPSG::3857-24.534623097333018 27.73571560746731343.16659612577348 71.18611359060394emodnet_open:eusm2025_ene_fullEnergy class layer produced by EMODnet Seabed Habitats as an input layer (habitat descriptor) for the 2025 EUSeaMap broad-scale habitat model. The extent of the mapped area includes the Baltic Sea, and areas of the North Eastern Atlantic and Arctic extending from the Canary Islands in the south to Norway in the North. The map of energy classes was produced using underlying wave and current data and thresholds derived from statistical analyses or expert judgement on known conditions. This layer was updated in EUSeaMap 2025 using a the wave Kinetic energy layer at the seabed layer for the European Shelf area used in 2023 (linked in the Online Resources). An accompanying confidence layer is available for viewing and download from EMODnet Seabed Habitats. A report on the methods used in the 2025 version of EUSeaMap will be added in due course, but reports on previous versions (v2019, v2021 and v2023) are available in the metadata. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commission.featuresbenthiceunishabitatbiotopemarineeusm2025_ene_fullurn:ogc:def:crs:EPSG::3857-36.000000731607294 22.9333319230308542.99962626391419 82.9643562732646emodnet_open:eusm2025_subs_fullClassified seabed substrate types for European seas, produced by EMODnet Seabed Habitats as an input layer for the 2025 EUSeaMap broad-scale habitat model. It is based on a combination of EMODnet Geology seabed substrate products and biological substrates extracted from individual habitat maps from surveys around European seas. The seabed substrate is the result of combining multiple datasets at multiple scales into a single dataset containing the best scale available at each location. The extent of the mapped area includes the Mediterranean Sea, Black Sea, Baltic Sea, and areas of the North Eastern Atlantic extending from the Canary Islands in the south to the Barents Sea in the north. The layer of seabed substrate was produced using data from EMODnet Geology at the following scales: - 1:1500, 1:5k, 1:10k, 1:15k, 1:20k, 1:25k, 1:30k, 1:45k, 1:50k, 1:60k, 1:70k, 1:100k, 1:250k, 1:1M. Biological substrates were included in the 2025 version of EUSeaMap to assist in the classification of biogenic habitats for the 2019 version of EUNIS. The Folk 5 classification of substrate is adopted because it is compatible with both the 2007-11 and 2019 versions of EUNIS, both of which have been applied in EUSeaMap 2025. An accompanying confidence layer is available for viewing and download from EMODnet Seabed Habitats. A report on the methods used in the 2025 version of EUSeaMap will be published in due course and reports on previous versions (v2019, v2021, v2023) are available in the metadata. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commissionfeaturesbenthiceunishabitatbiotopemarineeusm2025_subs_fullurn:ogc:def:crs:EPSG::3857-36.000000000378655 22.93333333359682442.99962379264885 82.96435447105434emodnet_open:eusm2025_bio_fullPredictive Biological Zone layer produced by EMODnet Seabed Habitats as an input layer (habitat descriptor) for the 2025 EUSeaMap broad-scale habitat model. The extent of the mapped area includes the Mediterranean Sea, Black Sea, Baltic Sea, and areas of the North Eastern Atlantic extending from the Canary Islands in the south to the Barents Sea in the North. The map of biological zone was produced using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions. The model is produced in R and Arc Model Builder (10.1). The model was created using raster input layers with a cell size of 0.00104dd (roughly 100 meters). The model includes the sublittoral zone only (Infralittoral to Abyssal zone). An accompanying confidence layer is available for viewing and download from EMODnet Seabed Habitats. A report on the methods used in the 2025 version of EUSeaMap will be published in due course and reports on previous versions (v2019, v2021, v2023) are available in the metadata. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commission.featuresbenthiceunishabitatbiotopemarineeusm2025_bio_fullurn:ogc:def:crs:EPSG::3857-36.39499894518749 22.53111037500986343.39462447749438 82.9643562732646emodnet_open:eusm2025_eunis2007_fullOutput of the 2025 EUSeaMap broad-scale predictive model, produced by EMODnet Seabed Habitats in the EUNIS 2007 classification. The extent of the mapped area includes the Mediterranean Sea, Black Sea, Baltic Sea, and areas of the North Eastern Atlantic extending from the Canary Islands in the south to the Barents Sea in the north. The map was produced using a "top-down" modelling approach using classified habitat descriptors to determine a final output habitat. Habitat descriptors differ per region but include: Biological zone Energy class Oxygen regime Salinity regime Seabed substrate Riverine input Habitat descriptors (except Substrate) are calculated using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions. The model is produced using R and ArcGIS Pro. The model was created using raster input layers with a cell size of 0.00104dd (roughly 100 metres). The model includes the sublittoral zone only; due to the high variability of the littoral zone, a lack of detailed substrate data and the resolution of the model, it is difficult to predict littoral habitats at this scale. EUSeaMap is classified into EUNIS 2019 level 3 (or more detailed levels where appropriate), EUNIS 2019 level 2 , EUNIS 2007-2011, the MSFD benthic broad habitat types, the HELCOM HUB classification in the Baltic, and the Barcelona Convention habitat classification in the Mediterranean. In the Black Sea, EUSeaMap is not classified into EUNIS 2007-2011 (due to inapplicability), but is classified according to a classification that was developed by EMODnet Seabed Habitats (Populus et al., 2017). For a revised version Vasquez et al. (2020) linked in the lineage. Reports that provide methods used for the classification of the predicted habitats into the 2019 EUNIS classification, regional classifications, and MSFD BBHT (v.2017) are linked in Online Resources. An accompanying confidence layer is available for viewing and download from EMODnet Seabed Habitats. A report on the methods used in the 2025 version of EUSeaMap will be added in due course, but reports on previous versions (v2019, v2021 and v2023) are available in the metadata. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commission.featuresbenthiceunishabitatbiotopemarineeusm2025_eunis2007_fullurn:ogc:def:crs:EPSG::3857-36.000000000378655 22.93333333359682442.99962379264885 82.96435447105434emodnet_open:eusm2025_eunis2019_fullOutput of the 2025 EUSeaMap broad-scale predictive model, produced by EMODnet Seabed Habitats in the EUNIS 2019 classification. The extent of the mapped area includes the Mediterranean Sea, Black Sea, Baltic Sea, and areas of the North Eastern Atlantic extending from the Canary Islands in the south to the Barents Sea in the north. The map was produced using a "top-down" modelling approach using classified habitat descriptors to determine a final output habitat. Habitat descriptors differ per region but include: Biological zone Energy class Oxygen regime Salinity regime Seabed substrate Riverine input Habitat descriptors (except Substrate) are calculated using underlying physical data and thresholds derived from statistical analyses or expert judgement on known conditions. The model is produced using R and ArcGIS Pro. The model was created using raster input layers with a cell size of 0.00104dd (roughly 100 metres). The model includes the sublittoral zone only; due to the high variability of the littoral zone, a lack of detailed substrate data and the resolution of the model, it is difficult to predict littoral habitats at this scale. EUSeaMap is classified into EUNIS 2019 level 3 (or more detailed levels where appropriate), EUNIS 2019 level 2 , EUNIS 2007-2011, the MSFD benthic broad habitat types, the HELCOM HUB classification in the Baltic, and the Barcelona Convention habitat classification in the Mediterranean. In the Black Sea, EUSeaMap is not classified into EUNIS 2007-2011 (due to inapplicability), but is classified according to a classification that was developed by EMODnet Seabed Habitats (Populus et al., 2017). For a revised version Vasquez et al. (2020) linked in the lineage. Reports that provide methods used for the classification of the predicted habitats into the 2019 EUNIS classification, regional classifications, and MSFD BBHT (v.2017) are linked in Online Resources. An accompanying confidence layer is available for viewing and download from EMODnet Seabed Habitats. A report on the methods used in the 2025 version of EUSeaMap will be added in due course, but reports on previous versions (v2019, v2021 and v2023) are available in the metadata. Credit: Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (https://emodnet.ec.europa.eu/en/seabed-habitats), funded by the European Commission.featuresbenthiceunishabitatbiotopemarineeusm2025_eunis2019_fullurn:ogc:def:crs:EPSG::3857-36.000000000378655 22.93333333359682442.99962379264885 82.96435447105434emodnet_open:efh_2025The EMODnet Seabed Habitats project has produced the first integrated and harmonized polygon layer representing the best available evidence for the distribution of Essential Fish Habitats (EFH) across European seas. Since 2021, EMODnet has been collecting EFH maps covering key life stages of commercially important marine species. The 2024 composite integrates 109 datasets from the Atlantic, North Sea, Baltic, and Mediterranean regions, using standardized attributes and confidence scores. This European-wide EFH layer provides a valuable resource to support fisheries management, biodiversity conservation, and the evaluation of protection measures under the EU Common Fisheries Policy and the Marine Strategy Framework Directive. The composite is a work in progress and will be further expanded and refined as new EFH data become available.featuresefh_2025benthicmarinebiotopeemodnet_sbh_admin_repcatemodnet_sbh_admin_int_extemodnet_sbh_admin_supersededemodnet_sbh_admin_sizekburn:ogc:def:crs:EPSG::3857-14.78873096048581 34.910095989270930.265005489978176 65.90501581055554emodnet_open:eu_carib_intertidal_2025This dataset provides a map of global intertidal habitats from European and Caribbean regions. The map is produced from Murray et al. (2022) High-resolution global maps of tidal flat ecosystems from 1984 to 2019 dataset, which provides the global distribution of intertidal habitats. We masked the Caribbean region based on Caribbean study area extent and European region based on EMODnet Bathymetry Coastline dataset, which was buffered by 30 kilometers in order to maintain the intertidal areas deeper inland.featureseu_carib_intertidal_2025marine19485Habitats - seabed habitats (including coastal wetlands) - composite productsFalseExternalurn:ogc:def:crs:EPSG::3857-70.50018324800148 10.99982979375949436.21099477975308 60.00012625878808emodnet_open:global_mangrove_watch_1996The Global Mangrove Watch (GMW) was initiated as part of the JAXA Kyoto & Carbon Initiative in 2011. It is led by Aberystwyth University and solo Earth Observation, in collaboration with Wetlands International, the International Water Management Institute and the UN Environment World Conservation Monitoring Centre (U.K.). The African part is supported by DOB Ecology through the Mangrove Capital Africa project. The GMW aims to provide geospatial information about mangrove extent and changes to the Ramsar Convention, national wetland practitioners, decision makers and NGOs. It is part of the Ramsar Science and Technical Review Panel (STRP) work plan for 2016-2018 and a Pilot Project to the Ramsar Global Wetlands Observation System (GWOS), which is implemented under the GEO-Wetlands Initiative. The primary objective of the GMW has been to provide countries lacking a national mangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation. The GMW has generated a global baseline map of mangroves for 2010 using ALOS PALSAR and Landsat (optical) data, and changes from this baseline for epochs between 1996 and 2020 derived from JERS-1 SAR, ALOS PALSAR and ALOS-2 PALSAR-2. Annual maps are planned from 2018 and onwards.featuresbenthiceunishabitatbiotopemarineglobal_mangrove_watch_1996urn:ogc:def:crs:EPSG::3857-38.85666666666581 -175.339555555556233.79933333333354 179.97955555555455emodnet_open:global_mangrove_watch_2007The Global Mangrove Watch (GMW) was initiated as part of the JAXA Kyoto & Carbon Initiative in 2011. It is led by Aberystwyth University and solo Earth Observation, in collaboration with Wetlands International, the International Water Management Institute and the UN Environment World Conservation Monitoring Centre (U.K.). The African part is supported by DOB Ecology through the Mangrove Capital Africa project. The GMW aims to provide geospatial information about mangrove extent and changes to the Ramsar Convention, national wetland practitioners, decision makers and NGOs. It is part of the Ramsar Science and Technical Review Panel (STRP) work plan for 2016-2018 and a Pilot Project to the Ramsar Global Wetlands Observation System (GWOS), which is implemented under the GEO-Wetlands Initiative. The primary objective of the GMW has been to provide countries lacking a national mangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation. The GMW has generated a global baseline map of mangroves for 2010 using ALOS PALSAR and Landsat (optical) data, and changes from this baseline for epochs between 1996 and 2020 derived from JERS-1 SAR, ALOS PALSAR and ALOS-2 PALSAR-2. Annual maps are planned from 2018 and onwards.featuresbenthiceunishabitatbiotopemarineglobal_mangrove_watch_2007urn:ogc:def:crs:EPSG::3857-38.85666666666581 -175.339555555556233.79933333333354 179.97955555555455emodnet_open:global_mangrove_watch_2008The Global Mangrove Watch (GMW) was initiated as part of the JAXA Kyoto & Carbon Initiative in 2011. It is led by Aberystwyth University and solo Earth Observation, in collaboration with Wetlands International, the International Water Management Institute and the UN Environment World Conservation Monitoring Centre (U.K.). The African part is supported by DOB Ecology through the Mangrove Capital Africa project. The GMW aims to provide geospatial information about mangrove extent and changes to the Ramsar Convention, national wetland practitioners, decision makers and NGOs. It is part of the Ramsar Science and Technical Review Panel (STRP) work plan for 2016-2018 and a Pilot Project to the Ramsar Global Wetlands Observation System (GWOS), which is implemented under the GEO-Wetlands Initiative. The primary objective of the GMW has been to provide countries lacking a national mangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation. The GMW has generated a global baseline map of mangroves for 2010 using ALOS PALSAR and Landsat (optical) data, and changes from this baseline for epochs between 1996 and 2020 derived from JERS-1 SAR, ALOS PALSAR and ALOS-2 PALSAR-2. Annual maps are planned from 2018 and onwards.featuresbenthiceunishabitatbiotopemarineglobal_mangrove_watch_2008urn:ogc:def:crs:EPSG::3857-38.85666666666581 -175.339555555556233.79933333333354 179.97955555555455emodnet_open:global_mangrove_watch_2009The Global Mangrove Watch (GMW) was initiated as part of the JAXA Kyoto & Carbon Initiative in 2011. It is led by Aberystwyth University and solo Earth Observation, in collaboration with Wetlands International, the International Water Management Institute and the UN Environment World Conservation Monitoring Centre (U.K.). The African part is supported by DOB Ecology through the Mangrove Capital Africa project. The GMW aims to provide geospatial information about mangrove extent and changes to the Ramsar Convention, national wetland practitioners, decision makers and NGOs. It is part of the Ramsar Science and Technical Review Panel (STRP) work plan for 2016-2018 and a Pilot Project to the Ramsar Global Wetlands Observation System (GWOS), which is implemented under the GEO-Wetlands Initiative. The primary objective of the GMW has been to provide countries lacking a national mangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation. The GMW has generated a global baseline map of mangroves for 2010 using ALOS PALSAR and Landsat (optical) data, and changes from this baseline for epochs between 1996 and 2020 derived from JERS-1 SAR, ALOS PALSAR and ALOS-2 PALSAR-2. Annual maps are planned from 2018 and onwards.featuresbenthiceunishabitatbiotopemarineglobal_mangrove_watch_2009urn:ogc:def:crs:EPSG::3857-38.85666666666581 -175.339555555556233.79933333333354 179.97955555555455emodnet_open:global_mangrove_watch_2010The Global Mangrove Watch (GMW) was initiated as part of the JAXA Kyoto & Carbon Initiative in 2011. It is led by Aberystwyth University and solo Earth Observation, in collaboration with Wetlands International, the International Water Management Institute and the UN Environment World Conservation Monitoring Centre (U.K.). The African part is supported by DOB Ecology through the Mangrove Capital Africa project. The GMW aims to provide geospatial information about mangrove extent and changes to the Ramsar Convention, national wetland practitioners, decision makers and NGOs. It is part of the Ramsar Science and Technical Review Panel (STRP) work plan for 2016-2018 and a Pilot Project to the Ramsar Global Wetlands Observation System (GWOS), which is implemented under the GEO-Wetlands Initiative. The primary objective of the GMW has been to provide countries lacking a national mangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation. The GMW has generated a global baseline map of mangroves for 2010 using ALOS PALSAR and Landsat (optical) data, and changes from this baseline for epochs between 1996 and 2020 derived from JERS-1 SAR, ALOS PALSAR and ALOS-2 PALSAR-2. Annual maps are planned from 2018 and onwards.featuresbenthiceunishabitatbiotopemarineglobal_mangrove_watch_2010urn:ogc:def:crs:EPSG::3857-38.85666666666581 -175.339555555556233.79933333333354 179.97955555555455emodnet_open:global_mangrove_watch_2015The Global Mangrove Watch (GMW) was initiated as part of the JAXA Kyoto & Carbon Initiative in 2011. It is led by Aberystwyth University and solo Earth Observation, in collaboration with Wetlands International, the International Water Management Institute and the UN Environment World Conservation Monitoring Centre (U.K.). The African part is supported by DOB Ecology through the Mangrove Capital Africa project. The GMW aims to provide geospatial information about mangrove extent and changes to the Ramsar Convention, national wetland practitioners, decision makers and NGOs. It is part of the Ramsar Science and Technical Review Panel (STRP) work plan for 2016-2018 and a Pilot Project to the Ramsar Global Wetlands Observation System (GWOS), which is implemented under the GEO-Wetlands Initiative. The primary objective of the GMW has been to provide countries lacking a national mangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation. The GMW has generated a global baseline map of mangroves for 2010 using ALOS PALSAR and Landsat (optical) data, and changes from this baseline for epochs between 1996 and 2020 derived from JERS-1 SAR, ALOS PALSAR and ALOS-2 PALSAR-2. Annual maps are planned from 2018 and onwards.featuresbenthiceunishabitatbiotopemarineglobal_mangrove_watch_2015urn:ogc:def:crs:EPSG::3857-38.85666666666581 -175.339555555556233.79933333333354 179.97955555555455emodnet_open:global_mangrove_watch_2016The Global Mangrove Watch (GMW) was initiated as part of the JAXA Kyoto & Carbon Initiative in 2011. It is led by Aberystwyth University and solo Earth Observation, in collaboration with Wetlands International, the International Water Management Institute and the UN Environment World Conservation Monitoring Centre (U.K.). The African part is supported by DOB Ecology through the Mangrove Capital Africa project. The GMW aims to provide geospatial information about mangrove extent and changes to the Ramsar Convention, national wetland practitioners, decision makers and NGOs. It is part of the Ramsar Science and Technical Review Panel (STRP) work plan for 2016-2018 and a Pilot Project to the Ramsar Global Wetlands Observation System (GWOS), which is implemented under the GEO-Wetlands Initiative. The primary objective of the GMW has been to provide countries lacking a national mangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation. The GMW has generated a global baseline map of mangroves for 2010 using ALOS PALSAR and Landsat (optical) data, and changes from this baseline for epochs between 1996 and 2020 derived from JERS-1 SAR, ALOS PALSAR and ALOS-2 PALSAR-2. Annual maps are planned from 2018 and onwards.featuresbenthiceunishabitatbiotopemarineglobal_mangrove_watch_2016urn:ogc:def:crs:EPSG::3857-38.85666666666581 -175.339555555556233.79933333333354 179.97955555555455emodnet_open:global_mangrove_watch_2017The Global Mangrove Watch (GMW) was initiated as part of the JAXA Kyoto & Carbon Initiative in 2011. It is led by Aberystwyth University and solo Earth Observation, in collaboration with Wetlands International, the International Water Management Institute and the UN Environment World Conservation Monitoring Centre (U.K.). The African part is supported by DOB Ecology through the Mangrove Capital Africa project. The GMW aims to provide geospatial information about mangrove extent and changes to the Ramsar Convention, national wetland practitioners, decision makers and NGOs. It is part of the Ramsar Science and Technical Review Panel (STRP) work plan for 2016-2018 and a Pilot Project to the Ramsar Global Wetlands Observation System (GWOS), which is implemented under the GEO-Wetlands Initiative. The primary objective of the GMW has been to provide countries lacking a national mangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation. The GMW has generated a global baseline map of mangroves for 2010 using ALOS PALSAR and Landsat (optical) data, and changes from this baseline for epochs between 1996 and 2020 derived from JERS-1 SAR, ALOS PALSAR and ALOS-2 PALSAR-2. Annual maps are planned from 2018 and onwards.featuresbenthiceunishabitatbiotopemarineglobal_mangrove_watch_2017urn:ogc:def:crs:EPSG::3857-38.858222222221364 -180.032.368222222222855 179.999999999999emodnet_open:global_mangrove_watch_2018The Global Mangrove Watch (GMW) was initiated as part of the JAXA Kyoto & Carbon Initiative in 2011. It is led by Aberystwyth University and solo Earth Observation, in collaboration with Wetlands International, the International Water Management Institute and the UN Environment World Conservation Monitoring Centre (U.K.). The African part is supported by DOB Ecology through the Mangrove Capital Africa project. The GMW aims to provide geospatial information about mangrove extent and changes to the Ramsar Convention, national wetland practitioners, decision makers and NGOs. It is part of the Ramsar Science and Technical Review Panel (STRP) work plan for 2016-2018 and a Pilot Project to the Ramsar Global Wetlands Observation System (GWOS), which is implemented under the GEO-Wetlands Initiative. The primary objective of the GMW has been to provide countries lacking a national mangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation. The GMW has generated a global baseline map of mangroves for 2010 using ALOS PALSAR and Landsat (optical) data, and changes from this baseline for epochs between 1996 and 2020 derived from JERS-1 SAR, ALOS PALSAR and ALOS-2 PALSAR-2. Annual maps are planned from 2018 and onwards.featuresbenthiceunishabitatbiotopemarineglobal_mangrove_watch_2018urn:ogc:def:crs:EPSG::3857-38.85822222252576 -179.9999885411868732.36822222204608 179.99998854118684emodnet_open:habitat_point_bboxesBounding boxes for datasets within EMODnet Seabed Habitats' point data collation.featureswp4_boxesurn:ogc:def:crs:EPSG::4326-16.606794357299805 34.4500999450683641.9991340637207 73.72241973876953emodnet_open:niva_kelpforestnorwayThe aim of the National Program for Mapping Biodiversity – Coast is to provide Norwegian managers and planners with maps of the distribution of marine habitats and key areas for species. The kelp was identified in the field using underwater video cameras and GPS and classified according to the routine established in the Norwegian National Program for Mapping Biodiversity – Coast. Kelp forests were defined as moderately dense and dense occurrences of kelp. Areas of kelp forest were modelled using different statistical methods (e.g. GAM, BRT, Maxent) based on point data collected along environmental gradients. These data include only the largest kelp forests.featuresbenthiceunishabitatbiotopemarineniva_kelpforestnorwayurn:ogc:def:crs:EPSG::385757.94565333841936 4.46854063827849171.1863100840778 31.134047300791373emodnet_open:livecoral_eov_points_2025This layer shows the current known extent and distribution of live hard coral cover in European waters, collated by EMODnet Seabed Habitats. The point and polygon layers were updated in 2025. Lophelia pertusa and Coral gardens are both on the OSPAR List of threatened and/or declining species and habitats. The purpose was to produce a data product that would provide the best compilation of evidence for the essential ocean variable (EOV) known as Hard coral cover and composition (sub-variable: Live hard coral cover and extent), as defined by the Global Ocean Observing System (GOOS). The geographic extent of this product was extended in 2023 to include jurisdictional waters (including continental shelf and claimed extended continental shelf) of EU Member States, the United Kingdom (UK) and Norway including areas in the Caribbean Sea.featureslivecoral_eov_points_2025benthiceunismarinehabitatbiotope[Do not report]livecoral_eov_poly_2025Product subsetFalseInternal2710urn:ogc:def:crs:EPSG::3857-69.6333000156733 11.5999981680109928.35882312705255 75.98707699900108emodnet_open:livecoral_eov_poly_2025This layer shows the current known extent and distribution of live hard coral cover in European waters, collated by EMODnet Seabed Habitats. The point and polygon layers were updated in 2025. Lophelia pertusa and Coral gardens are both on the OSPAR List of threatened and/or declining species and habitats. The purpose was to produce a data product that would provide the best compilation of evidence for the essential ocean variable (EOV) known as Hard coral cover and composition (sub-variable: Live hard coral cover and extent), as defined by the Global Ocean Observing System (GOOS). The geographic extent of this product was extended in 2023 to include jurisdictional waters (including continental shelf and claimed extended continental shelf) of EU Member States, the United Kingdom (UK) and Norway including areas in the Caribbean Sea.featureslivecoral_eov_poly_2025eunisbenthichabitatmarinebiotopelivecoral_eov_points_20252710Habitats - seabed habitats (including coastal wetlands) - composite productsFalseInternalurn:ogc:def:crs:EPSG::3857-17.395511659284463 35.84493069620357618.54398304636096 72.43329396275966emodnet_open:macroalgae_eov_points_2025This layer shows the current known extent and distribution of macroalgal canopy in European waters, collated by EMODnet Seabed Habitats. The points were added in Sept 2021, and both the points and polygons were updated in 2025. The purpose was to produce a data product that would provide the best compilation of evidence for the essential ocean variable (EOV) known as Macroalgal canopy cover and composition (sub-variable: Areal extent), as defined by the Global Ocean Observing System (GOOS). Kelp and fucoid brown algae are the dominant species that comprise macroalgal forests. This data product should be considered a work in progress and is not an official product.macroalgae_eov_points_2025featuresbenthiceunishabitatbiotopemarine190158InternalFalse[Do not report[macroalgae_eov_poly_2025Product subseturn:ogc:def:crs:EPSG::3857-13.687526677871475 34.894766414221328.613190082903834 60.861479648287066emodnet_open:macroalgae_eov_poly_2025European waters, collated by EMODnet Seabed Habitats. The points were added in Sept 2021, and both the points and polygons were updated in 2025. The purpose was to produce a data product that would provide the best compilation of evidence for the essential ocean variable (EOV) known as Macroalgal canopy cover and composition (sub-variable: Areal extent), as defined by the Global Ocean Observing System (GOOS). Kelp and fucoid brown algae are the dominant species that comprise macroalgal forests.featuresmacroalgae_eov_poly_2025benthicmarineeunishabitatbiotope190158InternalHabitats - seabed habitats (including coastal wetlands) - composite productsFalsemacroalgae_eov_points_2025urn:ogc:def:crs:EPSG::3857-10.693604655546356 34.915258002682131.172418462137625 71.18637721791175emodnet_open:mangrove_eov_poly_2023This layer shows the current known extent and distribution of Mangroves in jurisdictional waters of EU Member States, the United Kingdom (UK) and Norway in the Caribbean Sea, collated by EMODnet Seabed Habitats in 2023. The purpose was to produce a data product that would provide the best compilation of evidence for the essential ocean variable (EOV) known as Mangrove cover and composition (sub-variable: Mangrove fringe width and area), as defined by the Global Ocean Observing System (GOOS). Mangroves provide essential habitat and nursery areas for many marine fauna. This data product is new and will be updated with additional data as it becomes available.featuresbenthiceunishabitatbiotopemarinemangrove_eov_poly_2023urn:ogc:def:crs:EPSG::385711.000000000000341 -70.5000000000004719.000000000000696 -59.50000000000046emodnet_open:ospar2020_pointsThis is a compilation of OSPAR habitat point data for the northeast Atlantic submitted by OSPAR contracting parties. The compilation is coordinated by the UK's Joint Nature Conservation Committee, working with a representative from each of the OSPAR coastal contracting parties. This public dataset does not contain records relating to sensitive species (e.g. Ostrea edulis) in specific areas, or where data are restricted from public release by the owner's use limitations. This version (v2020) was published in July 2021.featuresospar2020_pointsseabedbenthichabitatsbiotopesenvironmentOSPARlistedurn:ogc:def:crs:EPSG::3857-18.8190561695112 36.3902182390027213.039384340120506 65.54959423536845emodnet_open:ospar2020_polyThis is a compilation of OSPAR habitat polygon data for the northeast Atlantic submitted by OSPAR contracting parties. The compilation is coordinated by the UK's Joint Nature Conservation Committee, working with a representative from each of the OSPAR coastal contracting parties.This public dataset does not contain records relating to sensitive species (e.g. Ostrea edulis) in specific areas, or where data are restricted from public release by the owner's use limitations. This version (v2020) was published in June 2020.featuresospar2020_polyseabedbenthicbiotopesoceanenvironmentlistedlistedhabitatsOSPARurn:ogc:def:crs:EPSG::3857-17.447403964565737 44.47953679379989512.27479788366554 62.042300831677125emodnet_open:ospar2022_pointsThis is a compilation of OSPAR habitat point data for the northeast Atlantic submitted by OSPAR contracting parties. The compilation is coordinated by the UK's Joint Nature Conservation Committee, working with a representative from each of the OSPAR coastal contracting parties. This public dataset does not contain records relating to sensitive species (e.g. Ostrea edulis) in specific areas, or where data are restricted from public release by the owner's use limitations. This version (v2022) was published in September 2023.featuresbenthiceunishabitatbiotopemarineospar2022_pointsurn:ogc:def:crs:EPSG::385735.1166666697663 -41.8351000001286586.61666700001466 40.91666700001849emodnet_open:ospar2022_polygonsThis is a compilation of OSPAR habitat polygon data for the northeast Atlantic submitted by OSPAR contracting parties. The compilation is coordinated by the UK's Joint Nature Conservation Committee, working with a representative from each of the OSPAR coastal contracting parties.This public dataset does not contain records relating to sensitive species (e.g. Ostrea edulis) in specific areas, or where data are restricted from public release by the owner's use limitations. This version (v2022) was published in September 2022.featuresbenthiceunishabitatbiotopemarineospar2022_polygonsurn:ogc:def:crs:EPSG::3857-41.78248541073139 35.84493069620357631.172418462137625 74.85412356406526emodnet_open:ospar2025_pointsThis is a compilation of OSPAR habitat polygon data for the northeast Atlantic submitted by OSPAR contracting parties. The compilation is coordinated by the UK's Joint Nature Conservation Committee, working with a representative from each of the OSPAR coastal contracting parties.This public dataset does not contain records relating to sensitive species (e.g. Ostrea edulis) in specific areas, or where data are restricted from public release by the owner's use limitations. This version (v2025) was published in April 2026.featuresospar2025_pointsbenthiceunishabitatbiotopemarineurn:ogc:def:crs:EPSG::3857-41.83510422849869 35.1166666499265340.91667117359131 86.61666717369168emodnet_open:ospar2025_polygonsThis is a compilation of OSPAR habitat polygon data for the northeast Atlantic submitted by OSPAR contracting parties. The compilation is coordinated by the UK's Joint Nature Conservation Committee, working with a representative from each of the OSPAR coastal contracting parties.This public dataset does not contain records relating to sensitive species (e.g. Ostrea edulis) in specific areas, or where data are restricted from public release by the owner's use limitations. This version (v2025) was published in April 2026.featuresospar2025_polygonsbenthiceunishabitatbiotopemarineurn:ogc:def:crs:EPSG::3857-41.78248541073139 35.84493069620357631.172418462137625 83.36852212162187emodnet_open:ospar_pointsPoints data from the 2018 OSPAR database of threatened and/or declining habitats, compiled from OSPAR (Oslo Paris Convention) contracting parties submission of listed habitats. For more information,, see https://www.ospar.org/work-areas/bdc/species-habitats/mapping-habitats-on-the-ospar-list-of-threatened-or-declining-species-and-habitats.ospar2018_pointsfeaturesbiotopesoceansseabedhabitatsbenthiclistedOSPARurn:ogc:def:crs:EPSG::4326-26.1537494659424 39.974094390869120.7262802124023 70.2344741821289emodnet_open:ospar_overviewOverview grid (based on ICES sea squares) for the OSPAR polygon layer to show location of potentially small polygons at low zoom levels.featuresospar_overviewhabitatsOSPARgridurn:ogc:def:crs:EPSG::4326-18.0 36.023.0 72.5emodnet_open:ospar_polyPolygon data from the 2018 OSPAR database of threatened and/or declining habitats, compiled from OSPAR (Oslo Paris Convention) contracting parties submission of listed habitats. For more information,, see https://www.ospar.org/work-areas/bdc/species-habitats/mapping-habitats-on-the-ospar-list-of-threatened-or-declining-species-and-habitats.featuresospar2018_polyseabedenvironmentoceanbiotopeshabitatsbenthiclistedOSPARurn:ogc:def:crs:EPSG::4326-14.1157522201538 47.306819915771512.2585706710815 60.8788032531738emodnet_open:potential_vmes_points_2025This dataset integrates information on Vulnerable Marine Ecosystems (VMEs) across European seas, harmonised from multiple authoritative sources and cross-referenced with fishing activity (VMS) data from EMODnet Human Activities. It includes both polygon and point layers derived from datasets provided by regional and international organisations, including ICES, NEAFC, OSPAR, GFCM, UNEP-WCMC, EMODnet, and GBIF. Data were standardised using a unified attribute schema, combining empirical observations and modelled habitat maps within the EUNIS classification framework. Overlaps and redundancies were resolved through a semi-automated workflow in QGIS, ensuring consistency and data integrity.The resulting dataset provides the most comprehensive and harmonised representation to date of VMEs and priority habitats in European waters, supporting marine spatial planning, ecosystem-based management, and the protection of vulnerable biodiversity hotspots.featurespotential_vmes_points_2025marineemodnet_sbh_admin_repcatemodnet_sbh_admin_int_extemodnet_sbh_admin_supersededemodnet_sbh_admin_sizekburn:ogc:def:crs:EPSG::3857-70.71700062497656 11.06666679655323767.61666754277697 81.61723644500391emodnet_open:potential_vmes_poly_2025This dataset integrates information on Vulnerable Marine Ecosystems (VMEs) across European seas, harmonised from multiple authoritative sources and cross-referenced with fishing activity (VMS) data from EMODnet Human Activities. It includes both polygon and point layers derived from datasets provided by regional and international organisations, including ICES, NEAFC, OSPAR, GFCM, UNEP-WCMC, EMODnet, and GBIF. Data were standardised using a unified attribute schema, combining empirical observations and modelled habitat maps within the EUNIS classification framework. Overlaps and redundancies were resolved through a semi-automated workflow in QGIS, ensuring consistency and data integrity.The resulting dataset provides the most comprehensive and harmonised representation to date of VMEs and priority habitats in European waters, supporting marine spatial planning, ecosystem-based management, and the protection of vulnerable biodiversity hotspots.featurespotential_vmes_poly_2025marineemodnet_sbh_admin_repcatemodnet_sbh_admin_int_extemodnet_sbh_admin_supersededemodnet_sbh_admin_sizekburn:ogc:def:crs:EPSG::3857-69.5958178104434 11.4630626875795234.000000566196434 81.7922649241248emodnet_open:greek_seagrass_meadows_v0906Combined use of optical (satellite imagery), and acoustic (sidescan sonar) remote sensing techniques, as well as in situ methodologies (visual census; SCUBA diving, Towed Underwater Cameras, and Remotely Operated Vehicles) was employed to map the spatial distribution of seagrass habitats in the coastal waters of the Hellenic territory. Seagrass meadows were recorded at approximately 70% of the Hellenic coastline (Eastern Ionian, Aegean and Levantine Seas), and their surface area exceeded 2,673.1 km2. Posidonia oceanica is -by far- the dominant seagrass species of the Hellenic seas, covering the vast majority of seabed at depths between the shoreline and 25 – 30 m (or deeper in insular areas), followed by the species Cymodocea nodosa, Zostera noltei, and Halophila stipulacea, which, however, presenting local presence and limited areal extent. Habitat suitability in terms of the seabed spatial extent that is available for the growth of seagrass meadows (i.e., the spatial extent of coastal areas between the shoreline and the isobath of 20m) and the seawater clarity conditions are highlighted as the critical factors for the formation of well-structured and extensive meadows. The results of this study are of great importance and usefulness for the effective management and conservation of valuable marine ecosystems. Report: Panayotidis Panayiotis, Papathanasiou Vasillis, Gerakaris Vasilis, Fakiris Elias, Orfanidis Sotiris, Papatheodorou Georgios, Kosmidou Maria, Georgiou Nikos, Drakopoulou Paraskevi, Loukaidi Vasiliki (2022). Seagrass Meadows in The Greek Seas. SEANOE. https://doi.org/10.17882/87740featuresgreek_seagrass_meadows_v0906urn:ogc:def:crs:EPSG::432619.36722183227539 34.80038452148437529.644672393798828 41.0032844543457emodnet_open:seagrass_eov_points_2025This layer shows the current known extent and distribution of Seagrass meadows in European waters, collated by EMODnet Seabed Habitats. The point and polygon layers were updated in 2025.The purpose was to produce a data product that would provide the best compilation of evidence for the essential ocean variable (EOV) known as Seagrass cover and composition (sub-variable: Areal extent of seagrass meadows), as defined by the Global Ocean Observing System (GOOS). Seagrasses provide essential habitat and nursery areas for many marine fauna. There are approximately 72 seagrass species that belong to four major groups: Zosteraceae, Hydrocharitaceae, Posidoniaceae and Cymodoceaceae. Zostera beds and Cymodecea meadows are named on the OSPAR Threatened or Declining Habitats list. Posidonia beds are protected under Annex I of the EU Habitats Directive. The geographic extent of this product was extended in 2023 to include jurisdictional waters (including continental shelf and claimed extended continental shelf) of EU Member States, the United Kingdom (UK) and Norway including areas in the Caribbean Sea.featuresseagrass_eov_points_2025benthiceunishabitatbiotopemarine[Do not report]seagrass_eov_poly_2025Product subset440395FalseInternalurn:ogc:def:crs:EPSG::3857-69.9000143151048 10.99998851973481528.23600096983131 69.25000071290742emodnet_open:seagrass_eov_poly_2025This layer shows the current known extent and distribution of Seagrass meadows in European waters, collated by EMODnet Seabed Habitats. The point and polygon layers were updated in 2025.The purpose was to produce a data product that would provide the best compilation of evidence for the essential ocean variable (EOV) known as Seagrass cover and composition (sub-variable: Areal extent of seagrass meadows), as defined by the Global Ocean Observing System (GOOS). Seagrasses provide essential habitat and nursery areas for many marine fauna. There are approximately 72 seagrass species that belong to four major groups: Zosteraceae, Hydrocharitaceae, Posidoniaceae and Cymodoceaceae. Zostera beds and Cymodecea meadows are named on the OSPAR Threatened or Declining Habitats list. Posidonia beds are protected under Annex I of the EU Habitats Directive. The geographic extent of this product was extended in 2023 to include jurisdictional waters (including continental shelf and claimed extended continental shelf) of EU Member States, the United Kingdom (UK) and Norway including areas in the Caribbean Sea.featuresseagrass_eov_poly_2025benthiceunishabitatbiotopemarineseagrass_eov_points_2025440395InternalFalseHabitats - seabed habitats (including coastal wetlands) - composite productsurn:ogc:def:crs:EPSG::3857-70.14143654771193 10.99999954236881938.15968317613503 70.4942817516374emodnet_open:ukseamap_2018_fullUKSeaMap 2018 is a broad-scale physical habitat map for UK waters. It is a by-product of the 2013-2016 activities of the EMODnet Seabed Habitats 2013–2016 consortium. This dataset contains two products: a roughly 100 m* resolution broad-scale predictive seabed habitat map in geodatabase format, and a set of confidence maps in GeoTIFF format. The data has been clipped to cover the current extent of the UK continental shelf. *3 arc second = 93 m latitudinally by between 44 m (north) and 53 m (south) longitudinally Classification systems: 1. EUNIS version 2007-11 habitat classification system, with additional deep sea zones 2. MSFD Benthic Broad Habitat Types 3. The Marine Habitat Classification for Britain and Irelandfeaturesukseamap_2018_full[Do not report]urn:ogc:def:crs:EPSG::3857-25.13537979073358 47.435407639041363.3985500338172665 63.887067794920526emodnet_open:ukseamap_latest_habitatsThe UKSeaMap Predictive Habitats Map 2025 (version 1) is a broad-scale prediction that uses physical models of depth, light, sediment and energy to predict the physical seabed habitats for the whole UK seabed. This map covers the UK extended Continental Shelf as defined by the Continental Shelf (Designation of Areas) Order 2013, but excluding the intertidal zone, Dee Estuary and Morecambe Bay. Two habitat classification systems are present in the final output: EUNIS habitat classification system version 2007-11 The Marine Habitat Classification for Britain and Ireland (https://mhc.jncc.gov.uk/) version 22.04 The attribute table includes a column for each of level 2, level 3 and level 4 of each of these two classification schemes. In some cases, there were 2-3 options of habitat type, which were both included and separated by the word “OR“. There is also a column containing the most detailed unique habitat type for each of the two classification systems. The habitats were determined by combining 4 categorical input layers called 'habitat descriptors', which are the basis for describing physical habitats in the Marine Habitat Classification for Britain and Ireland. These are also present in the geodatabase. Habitat descriptor data layers: Seabed substrate type - created using the British Geological Survey's national broad-scale predictive sediment map - Marchant et al. (2025) and the JNCC-BGS-Cefas national broad-scale predictive rock map (JNCC, 2019) Biological zone (also known as biozone) - created using the depth to seabed, wave disturbance at the seabed and amount of light reaching the seabed. Kinetic energy at the seabed - created using energy from tidal currents and energy from waves Salinity regime - created using the Annex I Habitats Regulations datasets for coastal lagoons and estuaries features A methods report will be published in due course. The UKSeaMap Predictive Map forms part of the UK Atlas of Seabed Habitats (UKASH), a suite of mapping products, offering the most complete characterisation of seabed habitats in the UK in the Marine Habitat Classification for Britain and Ireland and the European standard classification system, EUNIS. UKASH is composed of: UKASH Library of Localised Maps: A standardised collection of individual, ground-truthed habitat maps from various sources. UKASH Mosaic of Localised Maps: A unified, non-overlapping map product that prioritises the most reliable maps from the UKASH Library of Localised Maps. UKSeaMap Predictive Map: A seamless, full-coverage predictive map of physical seabed habitats in the UK. UKASH Combined Map: The UKASH Mosaic of Localised Maps, with gaps filled by the UKSeaMap Predictive Map. Further info: https://jncc.gov.uk/our-work/uk-atlas-of-seabed-habitats-ukash/#ukseamapfeaturesukseamap_2025_all_regionsurn:ogc:def:crs:EPSG::3857-25.134450670421725 47.435398298409613.3985501757510743 63.88694496398967emodnet_open:coralligenous_platforms_points_2023This layer shows the current known extent and distribution of Coralligenous and other calcareous bioconcretions in the Mediterranean. The point and polygon layers were last updated in 2023 by EMODnet Seabed Habitats. The data product was first created in 2021 with the aim to produce a data product that would provide the best compilation of evidence for this habitat, as described in the "Action Plan for the protection of the coralligenous and other calcareous bio-concretions in the Mediterranean". This data product contains large data gaps and should be viewed as incomplete.featuresbenthiceunishabitatbiotopemarinecoralligenous_platforms_points_2023urn:ogc:def:crs:EPSG::385734.894767999818995 3.064843999633300343.770835299455726 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