WMS A compliant implementation of WMS plus most of the SLD extension (dynamic styling). Can also generate PDF, SVG, KML, GeoRSS WFS WMS GEOSERVER Lovell Johns

UK NONE NONE text/xml image/png application/atom+xml application/json;type=utfgrid application/pdf application/rss+xml application/vnd.google-earth.kml+xml application/vnd.google-earth.kml+xml;mode=networklink application/vnd.google-earth.kmz image/geotiff image/geotiff8 image/gif image/jpeg image/png; mode=8bit image/svg+xml image/tiff image/tiff8 image/vnd.jpeg-png image/vnd.jpeg-png8 text/html; subtype=openlayers text/html; subtype=openlayers2 text/html; subtype=openlayers3 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml; subtype=gml/3.1.1 text/html application/json XML INIMAGE BLANK JSON https://ows.emodnet-humanactivities.eu/geonetwork/srv/eng/csw?service=CSW&version=2.0.2&request=GetRecordById&elementsetname=full&id=8fb85c9d-f8ee-45fb-8746-7a5bdac13eca&outputschema=http://www.isotc211.org/2005/gmd application/vnd.ogc.csw.GetRecordByIdResponse_xml eng eng A compliant implementation of WMS plus most of the SLD extension (dynamic styling). Can also generate PDF, SVG, KML, GeoRSS AUTO:42001 AUTO:42002 AUTO:42003 AUTO:42004 AUTO:97001 AUTO:97002 AUTO:97003 AUTO:97004 CRS:27 CRS:83 CRS:84 EPSG:2000 EPSG:2001 EPSG:2002 EPSG:2003 EPSG:2004 EPSG:2005 EPSG:2006 EPSG:2007 EPSG:2008 EPSG:2009 EPSG:2010 EPSG:2011 EPSG:2012 EPSG:2013 EPSG:2014 EPSG:2015 EPSG:2016 EPSG:2017 EPSG:2018 EPSG:2019 EPSG:2020 EPSG:2021 EPSG:2022 EPSG:2023 EPSG:2024 EPSG:2025 EPSG:2026 EPSG:2027 EPSG:2028 EPSG:2029 EPSG:2030 EPSG:2031 EPSG:2032 EPSG:2033 EPSG:2034 EPSG:2035 EPSG:2036 EPSG:2037 EPSG:2038 EPSG:2039 EPSG:2040 EPSG:2041 EPSG:2042 EPSG:2043 EPSG:2044 EPSG:2045 EPSG:2046 EPSG:2047 EPSG:2048 EPSG:2049 EPSG:2050 EPSG:2051 EPSG:2052 EPSG:2053 EPSG:2054 EPSG:2055 EPSG:2056 EPSG:2057 EPSG:2058 EPSG:2059 EPSG:2060 EPSG:2061 EPSG:2062 EPSG:2063 EPSG:2064 EPSG:2065 EPSG:2066 EPSG:2067 EPSG:2068 EPSG:2069 EPSG:2070 EPSG:2071 EPSG:2072 EPSG:2073 EPSG:2074 EPSG:2075 EPSG:2076 EPSG:2077 EPSG:2078 EPSG:2079 EPSG:2080 EPSG:2081 EPSG:2082 EPSG:2083 EPSG:2084 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EPSG:68186405 EPSG:68206405 EPSG:69036405 -180.0 180.0 -90.0 90.0 powercables The dataset on subsea power cables in the European waters was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contain lines representing actual cable routes locations. Compared with the previous version, this version now includes the German high voltage cables. EPSG:4326 -151.771606445312 166.472946166992 -22.3335704803467 71.0426406860352 text/xml telecablesactual The dataset on subsea telecommunication cables in the European waters was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contain lines representing actual cable routes locations. Compared with the previous version, this version includes an update of the German cables. EPSG:4326 -178.212066650391 178.97834777832 -33.8243865966797 61.5149345397949 text/xml activelicenses The dataset on offshore active licences for Oil and Gas exploitation and exploration in the European seas was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several EU and non-EU sources. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons representing the currently active licences in the following countries: Croatia, Cyprus, Denmark, France, Germany, Ireland, Italy, Malta, Netherlands, Norway, Poland, Spain and United Kingdom. Where available each polygon has the following attributes: country, code, name, type (exploitation, exploration, exploitation and exploration, other), licensing round (it includes also pending applications in Spain), area (square km), area info (it indicates if the area value is original from the source or has been calculated), valid from, valid to, operator or administrator, notes. At present, there are no active licenced areas in Portuguese waters, and no information is available regarding other countries. features activelicenses EPSG:4326 CRS:84 -13.40000057220459 34.93333435058594 32.9930534362793 74.25000762939453 text/xml text/plain application/zip advisorycouncils The dataset on the European Union's fisheries Advisory Councils was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated as soon as any changes are made in any of the Advisory Councils and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons representing the geographical scope, jurisdiction and information for each of the Advisory Councils of the European sea basins. Each polygon has the following attributes (where available): Name, Members, Scope, Sea basin, Legal foundation date, Legal foundation document and a URL-link to the Advisory Council's website. features advisorycouncils EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/xml text/plain application/zip aggregateareas The dataset on aggregate extractions in the European seas was created in 2014 by AZTI for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources from all across Europe. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains points representing aggregate extraction sites, by year (although some data are indicated by a period of years), in the following countries: Belgium, Denmark, Finland, France, Germany, Ireland, Italy, Lithuania, Poland, Portugal, Spain, Sweden, The Netherlands and United Kingdom. Where available, each point has the following attributes: Id (Identifier), Position Info (e.g.: Estimated, Original, Polygon centroid of dredging area, Estimated polygon centroid of dredging area), Country, Sea basin, Sea, Name of the extraction area, Area of activity (km2), Year (the year when the extraction took place; when a time period is available, the first year of the period is indicated), Permitted Amount (m3) (permitted amount of material to be extracted, in m3), Permitted Amount (t) (permitted amount of material to be extracted, in tonnes), Requested Amount (m3) (requested amount of material to be extracted, in m3), Requested Amount (t) (requested amount of material to be extracted, in tonnes), Extracted Amount (m3) (extracted amount of material, in m3), Extracted Amount (t) (extracted amount of material, in tonnes), Extraction Type (Marine sediment extraction), Purpose (e.g.: Commercial, Others, N/A), End Use (e.g.: Beach nourishment, Construction, Reclamation fill, N/A), Material type (e.g.: sand, gravel, maerl), Notes, Link to Web Sources. In 2018, a feature on areas for aggregate extractions was included. It contains polygons representing areas of seabed licensed for exploration or extraction of aggregates, in the following countries: Belgium, Denmark, Estonia, Finland, France, Germany, Italy, Lithuania, Poland, Portugal, Russia, Spain, Sweden, The Netherlands and United Kingdom. Where available, each polygon has the following attributes: Id (Identifier), Area code, Area name, Country, Sea basin, Sea, Starting year (the year when the license starts), End year (the year when the license ends), Site Type (exploration area, extraction area, extraction area (in use)), License status (Active, not active, expired, unknown), Material type (e.g.: sand, gravel, maerl), Notes, Distance to coast (in metres), Link to Web Sources. In the 2025 update, extraction data until 2024 and new areas have been included. features aggregateareas EPSG:4326 CRS:84 -31.278940200805664 29.919645309448242 27.66193199157715 60.28077697753906 text/xml text/plain application/zip aggregates The dataset on aggregate extractions in the European seas was created in 2014 by AZTI for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources from all across Europe. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains points representing aggregate extraction sites, by year (although some data are indicated by a period of years), in the following countries: Belgium, Denmark, Finland, France, Germany, Ireland, Italy, Lithuania, Poland, Portugal, Spain, Sweden, The Netherlands and United Kingdom. Where available, each point has the following attributes: Id (Identifier), Position Info (e.g.: Estimated, Original, Polygon centroid of dredging area, Estimated polygon centroid of dredging area), Country, Sea basin, Sea, Name of the extraction area, Area of activity (km2), Year (the year when the extraction took place; when a time period is available, the first year of the period is indicated), Permitted Amount (m3) (permitted amount of material to be extracted, in m3), Permitted Amount (t) (permitted amount of material to be extracted, in tonnes), Requested Amount (m3) (requested amount of material to be extracted, in m3), Requested Amount (t) (requested amount of material to be extracted, in tonnes), Extracted Amount (m3) (extracted amount of material, in m3), Extracted Amount (t) (extracted amount of material, in tonnes), Extraction Type (Marine sediment extraction), Purpose (e.g.: Commercial, Others, N/A), End Use (e.g.: Beach nourishment, Construction, Reclamation fill, N/A), Material type (e.g.: sand, gravel, maerl), Notes, Link to Web Sources. In 2018, a feature on areas for aggregate extractions was included. It contains polygons representing areas of seabed licensed for exploration or extraction of aggregates, in the following countries: Belgium, Denmark, Estonia, Finland, France, Germany, Italy, Lithuania, Poland, Portugal, Russia, Spain, Sweden, The Netherlands and United Kingdom. Where available, each polygon has the following attributes: Id (Identifier), Area code, Area name, Country, Sea basin, Sea, Starting year (the year when the license starts), End year (the year when the license ends), Site Type (exploration area, extraction area, extraction area (in use)), License status (Active, not active, expired, unknown), Material type (e.g.: sand, gravel, maerl), Notes, Distance to coast (in metres), Link to Web Sources. In the 2025 update, extraction data until 2024 and new areas have been included. features aggregates EPSG:4326 CRS:84 -31.270640999999955 26.402628573000072 28.824205000000063 62.01388900000006 1965-01-01T00:00:00.000Z/2025-01-01T00:00:00.000Z/P1Y text/xml text/plain application/zip aquaculture The dataset on the European Union's fisheries Advisory Councils was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated as soon as any changes are made in any of the Advisory Councils and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons representing the geographical scope, jurisdiction and information for each of the Advisory Councils of the European sea basins. Each polygon has the following attributes (where available): Name, Members, Scope, Sea basin, Legal foundation date, Legal foundation document and a URL-link to the Advisory Council's website. features advisorycouncils EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/xml text/plain application/zip baltic The dataset on the European Union's fisheries Advisory Councils was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated as soon as any changes are made in any of the Advisory Councils and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons representing the geographical scope, jurisdiction and information for each of the Advisory Councils of the European sea basins. Each polygon has the following attributes (where available): Name, Members, Scope, Sea basin, Legal foundation date, Legal foundation document and a URL-link to the Advisory Council's website. features advisorycouncils EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/xml text/plain application/zip barcelona This dataset visualises the marine area with is covered by the Barcelona, Bucharest, HELCOM and OSPAR Convention. Bucharest Convention dataset was locally created by cutting marine area of Black Sea and Sea of Azov. HELCOM dataset was downloaded or connect via WMS to http://maps.helcom.fi/ArcGIS/services/DataDelivery/MapServer/WMSServer features intconventions EPSG:4326 CRS:84 -44.199180603027344 51.000083923339844 30.266216278076172 89.9000015258789 text/xml text/plain application/zip bathingwaters The dataset on the status of bathing waters in the European seas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is based on the 'Bathing Water' Directive 2006/7/EC of the European Parliament and of the Council of 15 February 2006 concerning the management of bathing water quality and repealing Directive 76/160/EEC. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The Bathing Water Directive requires to identify popular bathing places in fresh and coastal waters and monitor them for indicators of microbiological pollution (and other substances) throughout the bathing season which runs from May to September. The purpose of the Directive is to protect human health and the environment while ensuring safe bathing water quality through provisions for monitoring, classification and management of bathing water quality, as well as for public information on such quality. More information are available at https://rod.eionet.europa.eu/obligations/787. The dataset presents information on bathing water identifier and name, country code and name, latitude and longitude of sites, specialized zone type (coastal, lake, river, transitional), link to the bathing water website page, bathing water quality status (0 - Not classified, 1 - Excellent, 2 - Good, 3 - Good or Sufficient, 3 - Sufficient, 4 - Poor, Closed, Insufficiently Sampled), year (1990-2025, where available). Only coastal and transitional bathing waters are shown on the EMODnet map viewer, while the dataset also contains lake and river ones. Geographic coverage: Albania, Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Guernsey, Hungary, Ireland, Isle of Man, Italy, Jersey, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland and the United Kingdom (England, Gibraltar, Northern Ireland, Scotland, Wales). Classifications were not made for some of the UK sites for the 2020 season due to the impact of the COVID-19 pandemic on the sampling programme. Compared with the previous version, the dataset has been updated according to the latest version published by the resource providers in the 2024 and 2025. features bathingwaters EPSG:4326 CRS:84 -63.14711000032622 55.732760000173926 -21.373630000124365 65.72660000009 text/xml text/plain application/zip blacksea The dataset on the European Union's fisheries Advisory Councils was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated as soon as any changes are made in any of the Advisory Councils and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons representing the geographical scope, jurisdiction and information for each of the Advisory Councils of the European sea basins. Each polygon has the following attributes (where available): Name, Members, Scope, Sea basin, Legal foundation date, Legal foundation document and a URL-link to the Advisory Council's website. features advisorycouncils EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/xml text/plain application/zip bshcontiscables The dataset on subsea telecommunication cables in the European waters was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contain lines representing actual cable routes locations. Compared with the previous version, this version includes an update of the German cables. features bshcontiscables EPSG:4326 CRS:84 3.25255179405212 14.6351976394653 53.4305419921875 55.9399909973145 text/xml text/plain application/zip bucharest This dataset visualises the marine area with is covered by the Barcelona, Bucharest, HELCOM and OSPAR Convention. Bucharest Convention dataset was locally created by cutting marine area of Black Sea and Sea of Azov. HELCOM dataset was downloaded or connect via WMS to http://maps.helcom.fi/ArcGIS/services/DataDelivery/MapServer/WMSServer features intconventions EPSG:4326 CRS:84 -44.199180603027344 51.000083923339844 30.266216278076172 89.9000015258789 text/xml text/plain application/zip cddaareas The dataset on Nationally Designated Areas was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It includes polygons and points and it is based on the 'NatDA_2025_v01_public' both geographical and tabular datasets from the European Environmental Agency (EEA) and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The European inventory of Nationally designated areas holds information about designated areas and their designation types, which directly or indirectly create protected areas. The Nationally designated areas is the official source of protected area information from the 38 European member countries to the World Database of Protected Areas (WDPA). The inventory began in 1995 under the CORINE programme of the European Commission. The NatDA is now an agreed annual Eionet core data flow maintained by the European Environment Agency (EEA) with support from the European Topic Centre on DataIntegration and Digitalisation (ETC DI). The dataset is used by the EEA and e.g. the UNEP-WCMC for their main European and global assessments, products and services. The data can be queried online in the European Nature Information System (EUNIS). Geographical coverage: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo (under UNSC Resolution 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. The EEA does not have permission to distribute some or all sites reported by Estonia, Ireland and Türkiye. In the webmap the dataset has been filtered in order to show only marine and coastal areas. Where available each polygon/point has the following main attributes: CDDA ID, country code, country name, site name, legal foundation date, national ID, area type/code (Designated Boundary or Site), IUCN category/description (Ia: Strict Nature Reserve; Ib: Wilderness Area; II: National Park; III: Natural Monument or Feature; IV: Habitat/Species Management Area; V: Protected Landscape/ Seascape; VI: Protected area with sustainable use of natural resources; Not applicable; Not assigned; Not reported. For more information please check the 'Guidelines for Applying Protected Area Management Categories' available at: https://portals.iucn.org/library/sites/library/files/documents/PAG-021.pdf), area (ha), major ecosystem type (Marine, Marine and terrestrial, Terrestrial), marine area percentage, spatial resolution (Scale 100K-250K, Scale Larger 100K, Unknown), remarks, marine/coastal location of features (1) as per Cogea's calulation. For further information please visit the EEA's website. Compared with the previous release, this one includes the public version 23.00 of the Nationally designated areas dataset published by the EEA in August 2025. features cddaareas EPSG:4326 CRS:84 -109.43770599365234 81.81110382080078 -54.65389633178711 83.7300033569336 text/xml text/plain application/zip cddalocations The dataset on Nationally Designated Areas was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It includes polygons and points and it is based on the 'NatDA_2025_v01_public' both geographical and tabular datasets from the European Environmental Agency (EEA) and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The European inventory of Nationally designated areas holds information about designated areas and their designation types, which directly or indirectly create protected areas. The Nationally designated areas is the official source of protected area information from the 38 European member countries to the World Database of Protected Areas (WDPA). The inventory began in 1995 under the CORINE programme of the European Commission. The NatDA is now an agreed annual Eionet core data flow maintained by the European Environment Agency (EEA) with support from the European Topic Centre on DataIntegration and Digitalisation (ETC DI). The dataset is used by the EEA and e.g. the UNEP-WCMC for their main European and global assessments, products and services. The data can be queried online in the European Nature Information System (EUNIS). Geographical coverage: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo (under UNSC Resolution 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. The EEA does not have permission to distribute some or all sites reported by Estonia, Ireland and Türkiye. In the webmap the dataset has been filtered in order to show only marine and coastal areas. Where available each polygon/point has the following main attributes: CDDA ID, country code, country name, site name, legal foundation date, national ID, area type/code (Designated Boundary or Site), IUCN category/description (Ia: Strict Nature Reserve; Ib: Wilderness Area; II: National Park; III: Natural Monument or Feature; IV: Habitat/Species Management Area; V: Protected Landscape/ Seascape; VI: Protected area with sustainable use of natural resources; Not applicable; Not assigned; Not reported. For more information please check the 'Guidelines for Applying Protected Area Management Categories' available at: https://portals.iucn.org/library/sites/library/files/documents/PAG-021.pdf), area (ha), major ecosystem type (Marine, Marine and terrestrial, Terrestrial), marine area percentage, spatial resolution (Scale 100K-250K, Scale Larger 100K, Unknown), remarks, marine/coastal location of features (1) as per Cogea's calulation. For further information please visit the EEA's website. Compared with the previous release, this one includes the public version 23.00 of the Nationally designated areas dataset published by the EEA in August 2025. features cddalocations EPSG:4326 CRS:84 11.04339599609375 27.962787628173828 39.74351119995117 65.36031341552734 text/xml text/plain application/zip cicacables The dataset on subsea telecommunication cables in the European waters was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contain lines representing actual cable routes locations. Compared with the previous version, this version includes an update of the German cables. features cicacables EPSG:4326 CRS:84 -7.58428525924683 -1.56753957271576 35.7271614074707 36.8396263122559 text/xml text/plain application/zip desalination The database on Desalination plants in the EU was created in 2021 by Cogea srl for the European Marine Observation and Data Network (EMODnet). It is the result of the harmonization of a dataset provided by GWI DesalData. The dataset provides spatial information (point) on the centroid of the municipality where a given plant is located. It is available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu) and will be updated every year. The dataset covers the following countries: Albania, Austria, Belgium, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Finland, France, Georgia, Germany, Gibraltar, Greece, Guernsey, Hungary, Ireland, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Netherlands, Norway, Poland, Portugal, Romania, Russia, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey, UK, Ukraine. Where available, each point has the following attributes: site code (ID), Location Name, Country, Position Source, Commune Name, NUTS code (NUTS 3 ID), Latitude, Longitude. A relational table provides further information for each desalination plant where data are available: Location Type, Project, Capacity (m3/d), Size, Units, Unit Size (m3/d), Technology, Feedwater, Plant Type, Award Date, Online Date, Plant Status, Customer Type, Industry Type, Customer, Holding Company, Plant Owner. More plant-specific information is available in the original dataset. features desalination EPSG:4326 CRS:84 -151.745 165.619713999999 -21.4428369999999 74.988392 text/xml text/plain application/zip dischargepoints The dataset on coastal discharge points from Urban Waste Water Treatment Plant (UWWTP) was created in 2019 by AZTI for the European Marine Observation and Data Network (EMODnet). It is based on the dataset "Waterbase-UWWTD" (Urban Waste Water Treatment Directive – reported data) provided by the European Topic Centre on Inland, Coastal and Marine waters, and made available at https://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-8. The dataset is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities) and it presents the available information (location of discharge points, link to specific treatment plant, type of receiving area into which the effluent/wastewater is discharged, related waterbody/river basin) on individual points of discharge from treatment plants or collecting systems located in coastal NUTS3 regions, based on data selected from the reporting of Member States as part of the UWWTD implementation. The geographic coverage is: Belgium, Bulgaria, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Latvia, Lithuania, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slovenia, Spain, Sweden, United Kingdom. The description of all attribute fields of UWWTP is given in the Waterbase-UWWTD (https://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-9/waterbase-uwwtd). In this update, data provided by several countries during 2022 (Waterbase reported under UWWTD data call 2023 - PROVISIONAL PUBLIC VERSION, Dec. 2024) are included. features dischargepoints EPSG:4326 CRS:84 -63.160999999999945 55.82609400000007 -21.470299999999952 70.67417000000006 text/xml text/plain application/zip divisioncatches The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated features divisioncatches EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip divisioncatchesbycountry The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated features divisioncatchesbycountry EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip divisioncatchesbygroup The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated features divisioncatchesbygroup EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip divisioneffort The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features divisioneffort EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip divisioneffortbycountry The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features divisioneffortbycountry EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip divisioneffortbyvesseltype The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features divisioneffortbyvesseltype EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip dredgespoil The dataset on offshore dredge dumping sites in the European seas was created in 2015 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains points and/or (where available) polygons representing offshore dredge dumping sites in the following countries: Belgium, Bulgaria, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Latvia, Lithuania, Malta, Norway, Poland, Portugal, Russia, Spain, Sweden and United Kingdom. Each point and polygon has the following attributes (where available): INDEX_ID, Site name, Country, Dredge ID, Dredged material, Year of operation, Information provider, Distance to coast (m) and Distance from centroid to coast (m)(This last attribute only appears for polygon data). The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in. features dredgespoil EPSG:4326 CRS:84 -61.85969999985508 55.281021400217526 -20.933128299631278 70.99355999829532 text/xml text/plain application/zip dredgespoilpoly The dataset on offshore dredge dumping sites in the European seas was created in 2015 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains points and/or (where available) polygons representing offshore dredge dumping sites in the following countries: Belgium, Bulgaria, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Latvia, Lithuania, Malta, Norway, Poland, Portugal, Russia, Spain, Sweden and United Kingdom. Each point and polygon has the following attributes (where available): INDEX_ID, Site name, Country, Dredge ID, Dredged material, Year of operation, Information provider, Distance to coast (m) and Distance from centroid to coast (m)(This last attribute only appears for polygon data). The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in. features dredgespoilpoly EPSG:4326 CRS:84 -61.49753186030705 55.281760570094264 -20.934576382593946 66.45265170631126 text/xml text/plain application/zip dredging The dataset on dredging in the European seas was created in 2014 by AZTI for the European Marine Observation and Data Network (EMODnet) and it is the result of the aggregation and harmonization of data provided by several sources from all across the Europe. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains points representing dredging sites in the following countries: Belgium, Bulgaria, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Latvia, Lithuania, Malta, Norway, Poland, Portugal, Spain, Sweden, The Netherlands and United Kingdom. Where available, each point has the following attributes: Id (Identifier), Position Information (e.g.: Estimated, Original, Polygon centroid of dredging area, Polygon centroid of dredging polygon), Country, Sea basin, Sea, Extraction Area, Year (when data is for a time period, the first year of the period is indicated), Permitted Amount (m3), Permitted Amount (t), Extracted Amount (m3), Extracted Amount (t), Extraction Type (e.g.: Harbour dredging, Estuary dredging, Sea lane), Purpose (e.g.: Maintenance dredging, Capital dredging, Others), End Use (e.g.: Beach nourishment, Commercialization, Confined deposit, Construction material, Embankment, Filling material, Land deposit, Reuse, Sea disposal, Wetland restoration), Material type (e.g.: silt, sand, gravel), Notes, Link to Web Sources. In the 2025 update, extraction data until 2024 has been included. features dredging EPSG:4326 CRS:84 -25.661395999999968 33.944202000000075 28.047825000000046 70.66390100000007 1964-01-01T00:00:00.000Z/2024-01-01T00:00:00.000Z/P1Y text/xml text/plain application/zip emeraldnetwork The dataset on Emerald Network sites was created in 2023 by Cogea for the European Marine Observation and Data Network. It is entirely based on spatial data from the European Environmental Agency (EEA), plus additional infos and selected EEA tabular data added as feature attributes. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The Emerald Network is an ecological network made up of Areas of Special Conservation Interest designated under Recommendation No. 16 (1989) and Resolution No. 3 (1996) of the Standing Committee to the Bern Convention. The objective of the Emerald Network is the long-term survival of the species and habitats. The Network involves all the European Union member States (the European Union contributes to the Emerald Network with its Natura 2000 sites), some non-Community States and a number of African States. This dataset cover the following countries: Albania, Andorra, Armenia, Azerbaijan, Bosnia and Herzegovina, Georgia, Iceland, Liechtenstein, Moldova, Montenegro, North Macedonia, Norway, Serbia, Switzerland, Ukraine and the United Kingdom. In the webmap the dataset has been filtered in order to show only marine and coastal sites. Where available each polygon has the following attributes: site code, site name, country code, country name, site type/description (A: SPA, Special Protection Areas - sites designated under the Birds Directive; B: SCIs and SACs, Sites of Community Importance and Special Areas of Conservation - sites designated under the Habitats Directive; C: where SPAs and SCIs/SACs boundaries are identical, sites are designated under both directives), site status (Proposed, Candidate or Adopted), compilation date, update date, area (ha), marine area percentage, marine/coastal location (1). For further information (e.g. biogeographic region, designation status, sites, habitats, impact, management, species and metadata) please visit the EEA's website hosting the Emerald tabular data (https://www.eea.europa.eu/data-and-maps/data/emerald-network-data-1/emerald-tabular-data). This version covers the reporting in 2024 as adopted by the Standing Committee to the Bern Convention in December 2024. As a result of a written consultation of Contracting Parties carried out between 28th June and 15th September 2023, the Emerald Network sites located on the territory of Belarus and of the Russian Federation had been suspended until further notice and removed from the Emerald Network tools. features emeraldnetwork EPSG:4326 CRS:84 -18.77075958251953 49.536285400390625 36.05880355834961 71.15323638916016 text/xml text/plain application/zip fao_areas FAO Major Fishing Areas for Statistical Purposes are arbitrary areas, the boundaries of which were determined in consultation with international fishery agencies on various considerations, including (i) the boundary of natural regions and the natural divisions of oceans and seas; (ii) the boundaries of adjacent statistical fisheries bodies already established in inter-governmental conventions and treaties; (iii) existing national practices; (iv) national boundaries; (v) the longitude and latitude grid system; (vi) the distribution of the aquatic fauna; and (vii) the distribution of the resources and the environmental conditions within an area. The rationale of the FAO Major Fishing Areas has been that the areas should, as far as possible, coincide with the areas of competence of other fishery commissions when existing. This system facilitates comparison of data, and improves the possibilities of cooperation in statistical matters in general. features fao_areas EPSG:4326 CRS:84 -180.0 180.0 -85.47030639648438 89.99000549316406 text/xml text/plain application/zip faoareas_old FAO Major Fishing Areas for Statistical Purposes are arbitrary areas, the boundaries of which were determined in consultation with international fishery agencies on various considerations, including (i) the boundary of natural regions and the natural divisions of oceans and seas; (ii) the boundaries of adjacent statistical fisheries bodies already established in inter-governmental conventions and treaties; (iii) existing national practices; (iv) national boundaries; (v) the longitude and latitude grid system; (vi) the distribution of the aquatic fauna; and (vii) the distribution of the resources and the environmental conditions within an area. The rationale of the FAO Major Fishing Areas has been that the areas should, as far as possible, coincide with the areas of competence of other fishery commissions when existing. This system facilitates comparison of data, and improves the possibilities of cooperation in statistical matters in general. features faoareas EPSG:4326 CRS:84 -180.0 180.0 -85.4703063964844 89.9900054931641 text/xml text/plain application/zip finfish The dataset on marine finfish aquaculture in the EU was created in 2017 by AND-International for the European Marine Observation and Data Network (EMODnet). The dataset provides information about the location of marine finfish farms in the EU and partner countries where data are available. There is an obligation for EU MS to inventory all authorized aquaculture sites under the Council Directive 2006/88/EC on animal health requirements. Despite this obligation, the availability of data varies among MS from no data available at all to a complete regularly updated dataset. As far as partner countries are concerned, data have been collected only in Norway and the UK (Scotland only), where detailed data are provided online. Data provided here cover Cyprus, Denmark, Estonia, Finland, Greece, Ireland, Malta, Norway, Spain and the United Kingdom (Scotland only). Data collection is still undergoing in other EU MS and neighbouring countries. Each point has the following attributes (where available): Country, Owner name, Status (Active, n.a.), Farm type (Salmonids, Flatfish, Seabass-seabream and other coastal fish, Tuna, Other, n.a.), Production method (Sea cages, Saltwater tanks/raceways, Saltwater ponds, Saltwater closed (recirculation), Quarantine, Other, n.a.), Production stage (Grow out for human consumption, Hatchery, Nursery, Broodstock, Reproduction, Restoration of wild stock, Put and take fisheries, Processing facility, Slaughtering facility, Research facility, Sea ranching, Other, n.a.), Purpose (Commercial, Display, Education, Research, Capture-based aquaculture, Fishing park, Other, n.a.), Species_source (detailed information on species names as presented in the source and translated to English), Point information (Polygon centroid, Original) depending on how the information is provided in the source (polygons or points), Site_ID, the distance to coast (in meters), the position from Coastline (At sea or Within the coastline), the ID from the source to facilitate traceability, and the year the data was updated in the source. The farm type relies on a typology established by AND-International, based on available information on species grown. A relational table provides harmonised information about species grown using Eurostat nomenclature for the Species Group, the species name (commercial and scientific) and the Eurostat code (ALPHA-3 code for species). The data has been updated for all countries available and additional fields were added to improve traceability (ID from source and Year updated in the source). Data from Spain are available for viewing but not for download. Data from other countries are available for viewing and download. features finfishnew EPSG:4326 CRS:84 -10.21284782899994 33.90793951900008 34.63651281300008 71.01778300000007 text/xml text/plain application/zip finfishV1 The dataset on marine finfish aquaculture in the European seas was created in 2017 by AND-International for the European Marine Observation and Data Network (EMODnet). The dataset provides information about the location of marine finfish farms in the EU and partner countries where data are available. There is an obligation for EU MS to inventory all authorized aquaculture sites under the Council Directive 2006/88/EC on animal health requirements. Despite this obligation, the availability of data varies among MS from no data available at all to a complete regularly updated dataset (e.g.in Ireland). As far as partner countries are concerned, data have been collected only in Norway and the UK (Scotland only) at this stage, where detailed data are provided online. Data provided here cover Cyprus, Danmark, Finland, Greece, Ireland, Malta, Norway, Spain and the UK (Scotland only). Data collection is still undergoing in other EU MS and neighbouring countries. Each point has the following attributes (where available): Country, Owner name, Status (Active, Expired, Inactive, Renewal, n.a.), Farm type (Flatfish, Diversified farm, Other specialised farm, Salmon, Salmonids, Seabass-seabream, Trout,Tuna, n.a.), Production method (Sea cages, Saltwater tanks/raceways, Saltwater ponds, Saltwater closed (recirculation), Quarantine, Other, n.a.), Production stage (Grow out for human consumption, Hatchery, Nursery, Brood stock, Reproduction, Restoration of wild stock, Put and take fisheries, Processing facility, Salughtering facility, Other, n.a.), Purpose (Commercial, Restocking, Other, n.a.), Products detailed (detailed product information names as presented in the source and translated to English), Point information (Polygon centroid, Original) depending on how the information is provided in the source (polygons or points), Site_ID. The farm type relies on a typology established by AND-International, based on available information on species grown. A relational table provides harmonised information about species grown using Eurostat nomenclature for the Species Group (Cods, hakes, haddocks; Flounders, halibuts, soles; Miscellaneous coastal fishes, Miscellaneous demersal fishes; Miscellaneous pelagic fishes; Salmons, trouts, smelts;Tunas, bonitos, billfishes), the species name (commercial and scientific) and the code. Compared with the previous version this new version has been not only updated but was also reviewed (dataset schema and attributes values), in order to add information on production methods, production stages and purposes and to provide a more useful typology based on species grown. Data from Spain are available for viewing but not for download. Data from other countries are available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). features finfish EPSG:4326 CRS:84 -10.21284796 33.907869438 34.6377124360001 71.0177830000001 text/xml text/plain application/zip fishingbeamtrawls The datasets on fishing intensity in the EU waters by sea basin are created every year by the International Council for the Exploration of the Sea (ICES). In the 2020 Cogea started to collect and harmonize them according to the EMOdnet Human Activities dataset schema. The EMODnet dataset is updated yearly, as soon as new data from ICES Fishing Overviews are released, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Where and when available, the fisheries overview fishing intensity data concern: i) the spatial distribution of average annual fishing effort (mW fishing hours) by ecoregion (Azores, Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic) and by gear type (Beam trawls, Bottom otter trawls, Bottom seines, Dredges, Pelagic trawls and seines, Static gears). Fishing effort data are only shown for vessels >12 m having vessel monitoring systems (VMS); ii) the average annual subsurface (top) and surface (bottom) mobile bottom contacting fishing gear (i.e. bottom otter trawls, bottom seines, dredges, beam trawls) disturbance by ecoregion in the Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic, expressed as average swept-area ratios (SAR). Due to data confidentiality issues, VMS/logbook data are anonymized and aggregated in a 0.05×0.05 degree grid prior to submission to ICES, using the C-squares geocode system (polygons). The last data loaded into the database, from the ICES 2024 Fishing Overview update or revision (where available), report the 2019-2022 averages. Historical data area also included in the database, starting from the 2020 fishing overview, and reporting the 2015-2018, 2017-2020, 2018-2021, and 2019-2020 averages. features fishingbeamtrawls2 EPSG:4326 CRS:84 -9.949999999800127 10.700000000299838 44.299999999700276 61.050000000399734 text/xml text/plain application/zip fishingbottomottertrawls The datasets on fishing intensity in the EU waters by sea basin are created every year by the International Council for the Exploration of the Sea (ICES). In the 2020 Cogea started to collect and harmonize them according to the EMOdnet Human Activities dataset schema. The EMODnet dataset is updated yearly, as soon as new data from ICES Fishing Overviews are released, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Where and when available, the fisheries overview fishing intensity data concern: i) the spatial distribution of average annual fishing effort (mW fishing hours) by ecoregion (Azores, Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic) and by gear type (Beam trawls, Bottom otter trawls, Bottom seines, Dredges, Pelagic trawls and seines, Static gears). Fishing effort data are only shown for vessels >12 m having vessel monitoring systems (VMS); ii) the average annual subsurface (top) and surface (bottom) mobile bottom contacting fishing gear (i.e. bottom otter trawls, bottom seines, dredges, beam trawls) disturbance by ecoregion in the Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic, expressed as average swept-area ratios (SAR). Due to data confidentiality issues, VMS/logbook data are anonymized and aggregated in a 0.05×0.05 degree grid prior to submission to ICES, using the C-squares geocode system (polygons). The last data loaded into the database, from the ICES 2024 Fishing Overview update or revision (where available), report the 2019-2022 averages. Historical data area also included in the database, starting from the 2020 fishing overview, and reporting the 2015-2018, 2017-2020, 2018-2021, and 2019-2020 averages. features fishingbottomottertrawls2 EPSG:4326 CRS:84 -41.65000000029971 49.249999999700265 36.00000000009999 81.69999999960038 text/xml text/plain application/zip fishingbottomseines The datasets on fishing intensity in the EU waters by sea basin are created every year by the International Council for the Exploration of the Sea (ICES). In the 2020 Cogea started to collect and harmonize them according to the EMOdnet Human Activities dataset schema. The EMODnet dataset is updated yearly, as soon as new data from ICES Fishing Overviews are released, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Where and when available, the fisheries overview fishing intensity data concern: i) the spatial distribution of average annual fishing effort (mW fishing hours) by ecoregion (Azores, Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic) and by gear type (Beam trawls, Bottom otter trawls, Bottom seines, Dredges, Pelagic trawls and seines, Static gears). Fishing effort data are only shown for vessels >12 m having vessel monitoring systems (VMS); ii) the average annual subsurface (top) and surface (bottom) mobile bottom contacting fishing gear (i.e. bottom otter trawls, bottom seines, dredges, beam trawls) disturbance by ecoregion in the Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic, expressed as average swept-area ratios (SAR). Due to data confidentiality issues, VMS/logbook data are anonymized and aggregated in a 0.05×0.05 degree grid prior to submission to ICES, using the C-squares geocode system (polygons). The last data loaded into the database, from the ICES 2024 Fishing Overview update or revision (where available), report the 2019-2022 averages. Historical data area also included in the database, starting from the 2020 fishing overview, and reporting the 2015-2018, 2017-2020, 2018-2021, and 2019-2020 averages. features fishingbottomseines2 EPSG:4326 CRS:84 -15.299999999900024 15.600000000399746 42.600000000399746 62.150000000000034 text/xml text/plain application/zip fishingdredges The datasets on fishing intensity in the EU waters by sea basin are created every year by the International Council for the Exploration of the Sea (ICES). In the 2020 Cogea started to collect and harmonize them according to the EMOdnet Human Activities dataset schema. The EMODnet dataset is updated yearly, as soon as new data from ICES Fishing Overviews are released, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Where and when available, the fisheries overview fishing intensity data concern: i) the spatial distribution of average annual fishing effort (mW fishing hours) by ecoregion (Azores, Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic) and by gear type (Beam trawls, Bottom otter trawls, Bottom seines, Dredges, Pelagic trawls and seines, Static gears). Fishing effort data are only shown for vessels >12 m having vessel monitoring systems (VMS); ii) the average annual subsurface (top) and surface (bottom) mobile bottom contacting fishing gear (i.e. bottom otter trawls, bottom seines, dredges, beam trawls) disturbance by ecoregion in the Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic, expressed as average swept-area ratios (SAR). Due to data confidentiality issues, VMS/logbook data are anonymized and aggregated in a 0.05×0.05 degree grid prior to submission to ICES, using the C-squares geocode system (polygons). The last data loaded into the database, from the ICES 2024 Fishing Overview update or revision (where available), report the 2019-2022 averages. Historical data area also included in the database, starting from the 2020 fishing overview, and reporting the 2015-2018, 2017-2020, 2018-2021, and 2019-2020 averages. features fishingdredges2 EPSG:4326 CRS:84 -14.849999999900035 11.899999999700299 36.69999999960038 60.84999999990015 text/xml text/plain application/zip fishingpelagic The datasets on fishing intensity in the EU waters by sea basin are created every year by the International Council for the Exploration of the Sea (ICES). In the 2020 Cogea started to collect and harmonize them according to the EMOdnet Human Activities dataset schema. The EMODnet dataset is updated yearly, as soon as new data from ICES Fishing Overviews are released, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Where and when available, the fisheries overview fishing intensity data concern: i) the spatial distribution of average annual fishing effort (mW fishing hours) by ecoregion (Azores, Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic) and by gear type (Beam trawls, Bottom otter trawls, Bottom seines, Dredges, Pelagic trawls and seines, Static gears). Fishing effort data are only shown for vessels >12 m having vessel monitoring systems (VMS); ii) the average annual subsurface (top) and surface (bottom) mobile bottom contacting fishing gear (i.e. bottom otter trawls, bottom seines, dredges, beam trawls) disturbance by ecoregion in the Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic, expressed as average swept-area ratios (SAR). Due to data confidentiality issues, VMS/logbook data are anonymized and aggregated in a 0.05×0.05 degree grid prior to submission to ICES, using the C-squares geocode system (polygons). The last data loaded into the database, from the ICES 2024 Fishing Overview update or revision (where available), report the 2019-2022 averages. Historical data area also included in the database, starting from the 2020 fishing overview, and reporting the 2015-2018, 2017-2020, 2018-2021, and 2019-2020 averages. features fishingpelagic2 EPSG:4326 CRS:84 -34.000000000299735 35.799999999600345 36.00000000009999 79.20000000009998 text/xml text/plain application/zip fishingstaticgears The datasets on fishing intensity in the EU waters by sea basin are created every year by the International Council for the Exploration of the Sea (ICES). In the 2020 Cogea started to collect and harmonize them according to the EMOdnet Human Activities dataset schema. The EMODnet dataset is updated yearly, as soon as new data from ICES Fishing Overviews are released, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Where and when available, the fisheries overview fishing intensity data concern: i) the spatial distribution of average annual fishing effort (mW fishing hours) by ecoregion (Azores, Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic) and by gear type (Beam trawls, Bottom otter trawls, Bottom seines, Dredges, Pelagic trawls and seines, Static gears). Fishing effort data are only shown for vessels >12 m having vessel monitoring systems (VMS); ii) the average annual subsurface (top) and surface (bottom) mobile bottom contacting fishing gear (i.e. bottom otter trawls, bottom seines, dredges, beam trawls) disturbance by ecoregion in the Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic, expressed as average swept-area ratios (SAR). Due to data confidentiality issues, VMS/logbook data are anonymized and aggregated in a 0.05×0.05 degree grid prior to submission to ICES, using the C-squares geocode system (polygons). The last data loaded into the database, from the ICES 2024 Fishing Overview update or revision (where available), report the 2019-2022 averages. Historical data area also included in the database, starting from the 2020 fishing overview, and reporting the 2015-2018, 2017-2020, 2018-2021, and 2019-2020 averages. features fishingstaticgears2 EPSG:4326 CRS:84 -41.99999999960028 23.499999999900126 36.00000000009999 65.79999999990014 text/xml text/plain application/zip fishingsubsurface The datasets on fishing intensity in the EU waters by sea basin are created every year by the International Council for the Exploration of the Sea (ICES). In the 2020 Cogea started to collect and harmonize them according to the EMOdnet Human Activities dataset schema. The EMODnet dataset is updated yearly, as soon as new data from ICES Fishing Overviews are released, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Where and when available, the fisheries overview fishing intensity data concern: i) the spatial distribution of average annual fishing effort (mW fishing hours) by ecoregion (Azores, Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic) and by gear type (Beam trawls, Bottom otter trawls, Bottom seines, Dredges, Pelagic trawls and seines, Static gears). Fishing effort data are only shown for vessels >12 m having vessel monitoring systems (VMS); ii) the average annual subsurface (top) and surface (bottom) mobile bottom contacting fishing gear (i.e. bottom otter trawls, bottom seines, dredges, beam trawls) disturbance by ecoregion in the Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic, expressed as average swept-area ratios (SAR). Due to data confidentiality issues, VMS/logbook data are anonymized and aggregated in a 0.05×0.05 degree grid prior to submission to ICES, using the C-squares geocode system (polygons). The last data loaded into the database, from the ICES 2024 Fishing Overview update or revision (where available), report the 2019-2022 averages. Historical data area also included in the database, starting from the 2020 fishing overview, and reporting the 2015-2018, 2017-2020, 2018-2021, and 2019-2020 averages. features fishingsubsurface2 EPSG:4326 CRS:84 -41.65000000029971 49.249999999700265 36.00000000009999 81.69999999960038 text/xml text/plain application/zip fishingsurface The datasets on fishing intensity in the EU waters by sea basin are created every year by the International Council for the Exploration of the Sea (ICES). In the 2020 Cogea started to collect and harmonize them according to the EMOdnet Human Activities dataset schema. The EMODnet dataset is updated yearly, as soon as new data from ICES Fishing Overviews are released, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Where and when available, the fisheries overview fishing intensity data concern: i) the spatial distribution of average annual fishing effort (mW fishing hours) by ecoregion (Azores, Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic) and by gear type (Beam trawls, Bottom otter trawls, Bottom seines, Dredges, Pelagic trawls and seines, Static gears). Fishing effort data are only shown for vessels >12 m having vessel monitoring systems (VMS); ii) the average annual subsurface (top) and surface (bottom) mobile bottom contacting fishing gear (i.e. bottom otter trawls, bottom seines, dredges, beam trawls) disturbance by ecoregion in the Bay of Biscay and the Iberian Coast, Baltic Sea, Barents Sea, Celtic Seas, Faroes, Greater North Sea, Icelandic Waters, Norwegian Sea and Oceanic Northeast Atlantic, expressed as average swept-area ratios (SAR). Due to data confidentiality issues, VMS/logbook data are anonymized and aggregated in a 0.05×0.05 degree grid prior to submission to ICES, using the C-squares geocode system (polygons). The last data loaded into the database, from the ICES 2024 Fishing Overview update or revision (where available), report the 2019-2022 averages. Historical data area also included in the database, starting from the 2020 fishing overview, and reporting the 2015-2018, 2017-2020, 2018-2021, and 2019-2020 averages. features fishingsurface2 EPSG:4326 CRS:84 -41.65000000029971 49.249999999700265 36.00000000009999 81.69999999960038 text/xml text/plain application/zip fishquotas The dataset on fishing quotas by Fishery Management Zones (FMZs) was created in 2024 by Cogea for the European Marine Observation and Data Network (EMODnet). It is based on DG MARE's data and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Total allowable catches (TACs), as Initial Quantity and Adapted Quota, are catch limits (expressed in tonnes) provided for each fish species (code and name) for a given year. Each stock is associated with one FMZ, but a FMZ can have multiple Stocks associated with it. Each species+area combination (stock) has multiple quota values per year. Quota values of the level'TAC' represent total allowable catch (sum of EU and third countries’ quotas). 'EEC' is the EU quota, which is the sum of individual Member States’ quotas. Thus in visualising the values of the quotas, the level needs to be taken into account. For many stocks, there is no value in the quota table. This means that the stock is defined only for reporting purposes, but there is no limitation of the amount of allowable catches. Due to the amount of data, all the attributes are not shown in the mapviewer, thus it is recommended to download the data in order to access to all the available info. features fishquotas EPSG:4326 CRS:84 -179.99999999999994 180.00000000000006 -87.94042051199997 89.89999999999998 text/xml text/plain application/zip fishquotas240408 The dataset on fishing quotas by Fishery Management Zones (FMZs) was created in 2024 by Cogea for the European Marine Observation and Data Network (EMODnet). It is based on DG MARE's data and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Total allowable catches (TACs), as Initial Quantity and Adapted Quota, are catch limits (expressed in tonnes) provided for each fish species (code and name) for a given year. Each stock is associated with one FMZ, but a FMZ can have multiple Stocks associated with it. Each species+area combination (stock) has multiple quota values per year. Quota values of the level'TAC' represent total allowable catch (sum of EU and third countries’ quotas). 'EEC' is the EU quota, which is the sum of individual Member States’ quotas. Thus in visualising the values of the quotas, the level needs to be taken into account. For many stocks, there is no value in the quota table. This means that the stock is defined only for reporting purposes, but there is no limitation of the amount of allowable catches. Due to the amount of data, all the attributes are not shown in the mapviewer, thus it is recomended to download the data in order to access to all the available info. The dataset is updated yearly and it covers a time series from 2012 onwards. features fishquotas240408v2 EPSG:4326 CRS:84 -179.99999999999994 180.00000000000006 -87.94042051199995 89.90000000000002 text/xml text/plain application/zip fishquotas240408bylevel The dataset on fishing quotas by Fishery Management Zones (FMZs) was created in 2024 by Cogea for the European Marine Observation and Data Network (EMODnet). It is based on DG MARE's data and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Total allowable catches (TACs), as Initial Quantity and Adapted Quota, are catch limits (expressed in tonnes) provided for each fish species (code and name) for a given year. Each stock is associated with one FMZ, but a FMZ can have multiple Stocks associated with it. Each species+area combination (stock) has multiple quota values per year. Quota values of the level'TAC' represent total allowable catch (sum of EU and third countries’ quotas). 'EEC' is the EU quota, which is the sum of individual Member States’ quotas. Thus in visualising the values of the quotas, the level needs to be taken into account. For many stocks, there is no value in the quota table. This means that the stock is defined only for reporting purposes, but there is no limitation of the amount of allowable catches. Due to the amount of data, all the attributes are not shown in the mapviewer, thus it is recomended to download the data in order to access to all the available info. The dataset is updated yearly and it covers a time series from 2012 onwards. features fishquotas240408bylevelv2 EPSG:4326 CRS:84 -179.99999999999994 180.00000000000006 -87.94042051199995 89.90000000000002 text/xml text/plain application/zip fishquotas240408byspecies The dataset on fishing quotas by Fishery Management Zones (FMZs) was created in 2024 by Cogea for the European Marine Observation and Data Network (EMODnet). It is based on DG MARE's data and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Total allowable catches (TACs), as Initial Quantity and Adapted Quota, are catch limits (expressed in tonnes) provided for each fish species (code and name) for a given year. Each stock is associated with one FMZ, but a FMZ can have multiple Stocks associated with it. Each species+area combination (stock) has multiple quota values per year. Quota values of the level'TAC' represent total allowable catch (sum of EU and third countries’ quotas). 'EEC' is the EU quota, which is the sum of individual Member States’ quotas. Thus in visualising the values of the quotas, the level needs to be taken into account. For many stocks, there is no value in the quota table. This means that the stock is defined only for reporting purposes, but there is no limitation of the amount of allowable catches. Due to the amount of data, all the attributes are not shown in the mapviewer, thus it is recomended to download the data in order to access to all the available info. The dataset is updated yearly and it covers a time series from 2012 onwards. features fishquotas240408byspeciesv2 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/xml text/plain application/zip fishquotasbylevel The dataset on fishing quotas by Fishery Management Zones (FMZs) was created in 2024 by Cogea for the European Marine Observation and Data Network (EMODnet). It is based on DG MARE's data and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Total allowable catches (TACs), as Initial Quantity and Adapted Quota, are catch limits (expressed in tonnes) provided for each fish species (code and name) for a given year. Each stock is associated with one FMZ, but a FMZ can have multiple Stocks associated with it. Each species+area combination (stock) has multiple quota values per year. Quota values of the level'TAC' represent total allowable catch (sum of EU and third countries’ quotas). 'EEC' is the EU quota, which is the sum of individual Member States’ quotas. Thus in visualising the values of the quotas, the level needs to be taken into account. For many stocks, there is no value in the quota table. This means that the stock is defined only for reporting purposes, but there is no limitation of the amount of allowable catches. Due to the amount of data, all the attributes are not shown in the mapviewer, thus it is recommended to download the data in order to access to all the available info. features fishquotasbylevel EPSG:4326 CRS:84 -179.99999999999994 180.00000000000006 -87.94042051199997 89.89999999999998 text/xml text/plain application/zip fishquotasbyspecies The dataset on fishing quotas by Fishery Management Zones (FMZs) was created in 2024 by Cogea for the European Marine Observation and Data Network (EMODnet). It is based on DG MARE's data and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Total allowable catches (TACs), as Initial Quantity and Adapted Quota, are catch limits (expressed in tonnes) provided for each fish species (code and name) for a given year. Each stock is associated with one FMZ, but a FMZ can have multiple Stocks associated with it. Each species+area combination (stock) has multiple quota values per year. Quota values of the level'TAC' represent total allowable catch (sum of EU and third countries’ quotas). 'EEC' is the EU quota, which is the sum of individual Member States’ quotas. Thus in visualising the values of the quotas, the level needs to be taken into account. For many stocks, there is no value in the quota table. This means that the stock is defined only for reporting purposes, but there is no limitation of the amount of allowable catches. Due to the amount of data, all the attributes are not shown in the mapviewer, thus it is recommended to download the data in order to access to all the available info. features fishquotasbyspecies EPSG:4326 CRS:84 -179.99999999999994 180.00000000000006 -87.94042051199997 89.89999999999998 text/xml text/plain application/zip fishsales The dataset on first sales of fish in the European markets was created in 2016 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated twice a year and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset originates from the monthly first sales of fish data made available by the European Market Observatory for Fisheries and Aquaculture products (EUMOFA). The EUMOFA is a fully-fledged observatory, but it is also a work in progress and its coverage is constantly revised by adding or removing locations and species. EUMOFA data have been related to the fish markets locations (points) made available in DG MARE's Master Data Register, revised when necessary according to the United Nations Code for Trade and Transport Locations database (UN/LOCODE) and according to the EUROSTAT/GISCO dataset on main ports locations. Volume (net weight in kg), value (Euro) and price (Euro/kg) data are provided for each fish species in each place of sale by year, month, Commodity Group (CG), Main Commercial Species (MCS), EU's Electronic recording and reporting system (ERS) name, size category (according to AnnexII of Council R. 2406/96), preservation state and presentation state (aggregated by group and disaggregated by presentation type). The geographic coverage of available data is: Belgium, Bulgaria, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Italy, Latvia, Lithuania, Netherlands, Norway, Poland, Portugal, Spain, Sweden and the UK. Compared with the previous version, this new version of the dataset includes data for Denmark, Finland and Iceland, and it covers a time series from 2009 to January 2025, where available. features fishsales EPSG:4326 CRS:84 -61.707848 55.6482360000001 -21.3832879999999 60.7500000000001 text/xml text/plain application/zip fishsalesbyspecies The dataset on first sales of fish in the European markets was created in 2016 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated twice a year and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset originates from the monthly first sales of fish data made available by the European Market Observatory for Fisheries and Aquaculture products (EUMOFA). The EUMOFA is a fully-fledged observatory, but it is also a work in progress and its coverage is constantly revised by adding or removing locations and species. EUMOFA data have been related to the fish markets locations (points) made available in DG MARE's Master Data Register, revised when necessary according to the United Nations Code for Trade and Transport Locations database (UN/LOCODE) and according to the EUROSTAT/GISCO dataset on main ports locations. Volume (net weight in kg), value (Euro) and price (Euro/kg) data are provided for each fish species in each place of sale by year, month, Commodity Group (CG), Main Commercial Species (MCS), EU's Electronic recording and reporting system (ERS) name, size category (according to AnnexII of Council R. 2406/96), preservation state and presentation state (aggregated by group and disaggregated by presentation type). The geographic coverage of available data is: Belgium, Bulgaria, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Italy, Latvia, Lithuania, Netherlands, Norway, Poland, Portugal, Spain, Sweden and the UK. Compared with the previous version, this new version of the dataset includes data for Denmark, Finland and Iceland, and it covers a time series from 2009 to January 2025, where available. fishsalesbyspecies features EPSG:4326 CRS:84 -61.707848 55.6482360000001 -21.3832879999999 60.7500000000001 text/xml text/plain application/zip freshwater The freshwater production dataset in the European waters and countries was created in 2017 by AND-International for the European Marine Observation and Data Network (EMODnet). The dataset provides information about the location of freshwater finfish farms in the EU and partner countries where data are available. The dataset is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). For EU MSs, it relies mainly on data collected under the Regulation (EU) 2016/429 (the ‘Animal Health Law’). As far as partner countries are concerned, data were collected in Norway and in the UK (Scotland only), where detailed data are provided online. Data have been collected in Austria, Belgium, Czechia, Denmark, Estonia, France, Greece, Ireland, Lithuania, Norway, Poland, Slovenia, and the UK (Scotland only). Most important producing countries where data are missing are Spain, Italy, Bulgaria, Germany, Hungary and Romania. Data for Spain are available through the Acuivisor, through the following link: https://servicio.pesca.mapama.es/acuivisor/. Each point has the following attributes (where available): country, owner name, species from Source (English translation of the information provided on species provided in the source), farm type (Carp, Diversified pond fish, Eel, Salmonids, Sturgeon, Other, n/a), production stage (Grow out for human consumption, Hatchery, Nursery, Broodstock, Put and take fisheries, Restoration of wild stock, Processing facility, Other, n/a), production method (Cages/Enclosures/Pens, Closed systems (recirculation), Ponds, Tanks/Raceways, Quarantine facility, Research facility, Other, n/a), purpose (Commercial, Restocking, Education, Other, n/a), point information (Polygon centroid, Original) depending on how the information is provided in the source (polygons or points), site_id and source_id (id from the source where available). The farm type relies on a typology established by AND-International, based on available information on the species reared in the different production sites. A relational table provides harmonised information about the reared species using Eurostat nomenclature for the Species Group (Carps, barbels and other cyprinids; Miscellaneous freshwater fishes; River eels; Salmons, trouts, smelts; Sturgeons, paddlefishes; Tilapias and other cichlids), the species name (commercial and scientific) and the code. Data in EMODnet have been updated in 2025, using data updated as of 2022 for Lithuania, 2024 for Estonia, Greece and Poland and 2025 for other countries. features freshwater EPSG:4326 CRS:84 -61.777225999999985 55.28541594900008 -20.933876982999948 70.96236700000003 text/xml text/plain application/zip gfcmsubareaeffort The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features gfcmsubareaeffort EPSG:4326 CRS:84 -5.599999865999962 41.77609995800003 30.263890047000075 47.25234995800008 text/xml text/plain application/zip gfcmsubareaeffortbycountry The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features gfcmsubareaeffortbycountry EPSG:4326 CRS:84 -5.599999865999962 41.77609995800003 30.263890047000075 47.25234995800008 text/xml text/plain application/zip gfcmsubareaeffortbyvesseltype The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features gfcmsubareaeffortbyvesseltype EPSG:4326 CRS:84 -5.599999865999962 41.77609995800003 30.263890047000075 47.25234995800008 text/xml text/plain application/zip helcom This dataset visualises the marine area with is covered by the Barcelona, Bucharest, HELCOM and OSPAR Convention. Bucharest Convention dataset was locally created by cutting marine area of Black Sea and Sea of Azov. HELCOM dataset was downloaded or connect via WMS to http://maps.helcom.fi/ArcGIS/services/DataDelivery/MapServer/WMSServer features intconventions EPSG:4326 CRS:84 -44.199180603027344 51.000083923339844 30.266216278076172 89.9000015258789 text/xml text/plain application/zip heritageshipwrecks The dataset combines data collected from several sources: data collected and processed by the “Service hydrographique et océanographique de la marine” (SHOM) under the product “Wrecks and obstructions” for France (Hexagone and outermost regions and territories), The National Monument Service Wreck Viewer for Ireland, Historic England and the University of Oxford - The Oxford Roman Economy Project (Strauss, J. (2013). Shipwrecks Database. Version 1.0. Accessed (date): oxrep.classics.ox.ac.uk/databases/shipwrecks_database/) for archeological remains of ship wrecks in the Mediterranean. The different products were developed with different purposes and therefore provide information of different nature. The product developed by SHOM aims to identify objects emerging from the seabed and likely to hinder navigation, while the three other products focus on the historical value of the wrecks. The choice was made to keep as much information as possible. When possible fields from different sources have been merged (e.g. least depth available in SHOM data and the Oxford Roman Economy Project), but other fields correspond to a specific source. When available, information is provided on the nature of the objects (object description, ship characteristics, object type, artefacts, estimated tonnage), on the aging of the wrecks (sink year, dating, period), on the circumstances of the sinking (sink context, place of origine, place of destination), on the location (least depth, max depth, other depth information, object length, location precision, site area, coast distance), on the protection status (only for England) and on sources and additional information available (source information, references, website, website 2). Data from the National Monument Service Wreck Viewer in Ireland includes data from a variety of sources, including the UK Hydrographic Organisation. As there is a separate dataset based on the UKHO data, the corresponding records have been removed here. The additional processing carried out by EMODnet consisted in translating the available information to English (through partly-automated translation), extracting the year of the sinking when available and calculating the distance to coast. Last update of the product by SHOM was made in November 2022, last update of the Historic England data was made in March 2025, update of the National Monument Service Wreck Viewer in Ireland was made in August 2023, and the Oxford Roman Economy Project was carried out in 2013. features heritageshipwrecks EPSG:4326 CRS:84 -176.22080993652344 171.35000610351562 -49.67866516113281 57.133331298828125 text/xml application/zip text/plain hydrocarbons The dataset on offshore wells for Oil and Gas industry activities in the EU was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). It contains points representing offshore wells drilled in the following countries: Croatia, Cyprus, Denmark, Faroe Islands, France, Germany, Greece (only for western coast), Ireland, Italy, Latvia, Malta, Montenegro, Netherlands, Norway, Poland, Portugal, Spain, and United Kingdom. Where available each point has the following attributes: status (active, abandoned, other, suspended, N/A), country, code, name, year (spud date), purpose (exploitation, exploration, other), content (crude oil, natural gas, crude oil and natural gas, natural gas and crude oil, dry, other), operator, drilling company/facility, distance to coast (metres) and water depth (metres). Compared with the previous version this new version has been updated for most of the countries that have published or sent their last release of data. features boreholes EPSG:4326 CRS:84 -13.4025087356567 35.8381156921387 28.5574989318848 80.682502746582 text/xml text/plain application/zip icesareas The ICES Statistical Areas delineates the divisions and subdivisions of FAO Major Fishing area 27. The ICES Statistical Areas are used as bounding areas for calculation of fish statistics, e.g. catch per unit effort (CPUE) and stock estimates. features icesareas EPSG:4326 CRS:84 -44.0 68.5000076293945 36.0 90.0000076293945 text/xml text/plain application/zip intconventions This dataset visualises the marine area with is covered by the Barcelona, Bucharest, HELCOM and OSPAR Convention. Bucharest Convention dataset was locally created by cutting marine area of Black Sea and Sea of Azov. HELCOM dataset was downloaded or connect via WMS to http://maps.helcom.fi/ArcGIS/services/DataDelivery/MapServer/WMSServer features intconventions EPSG:4326 CRS:84 -44.1991806030273 51.0000839233398 30.2662162780762 89.9000015258789 text/xml text/plain application/zip lighthouses This dataset provides the location of lighthouses inventoried by the Amateur Radio Lighthouse Society (ARLS). It includes both existing lighthouses and historical ones that have been removed, relocated or destroyed (column Status). The dataset includes the name of the lighthouse, its code in the ARLSH database, the status, the distance to coast, whether it is located at sea or within the coastline and some comments when the ARLSH information has been edited based on information from other sources. Coordinates are approximate for most of the lighthouses.It is updated every 2 years, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Re-use for commercial and non-commercial purpose requires written consent from the ARLHS. features lighthouses EPSG:4326 CRS:84 -16.5500011444092 34.6000022888184 28.0166664123535 71.1000061035156 text/xml text/plain application/zip longdistancefleet The dataset on the European Union's fisheries Advisory Councils was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated as soon as any changes are made in any of the Advisory Councils and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons representing the geographical scope, jurisdiction and information for each of the Advisory Councils of the European sea basins. Each polygon has the following attributes (where available): Name, Members, Scope, Sea basin, Legal foundation date, Legal foundation document and a URL-link to the Advisory Council's website. features advisorycouncils EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/xml text/plain application/zip macroalgae This dataset stems from the Joint Research Centre (JRC) Biomass Mandate (https://knowledge4policy.ec.europa.eu/projects-activities/jrc-biomass-mandate_en) and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities) and on the platform from the European Commission’s Knowledge Centre for Bioeconomy (https://knowledge4policy.ec.europa.eu/visualisation/bioeconomy-different-countries_en#algae_prod_plants). The dataset provides information on the location (geographic coordinates and country) of the production facilities and their related info as the group of produced organism (macroalgae, microalgae and spirulina), the step in the value chain (Producer, Processor, Technology provider, Consultancy, Research and Development, Trader/Exporter) the production method (Fermenters, Harvesting , Photobioreactors, Open ponds, Semi Open ponds, land-based or at sea Aquaculture, Integrated multi-trophic or not) and the species farmed (see dataset). The data have been collected for the following countries: Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Faroe Islands, France, Germany, Greece, Greenland, Hungary, Iceland, Ireland, Italy, Latvia, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland and the United Kingdom. The JRC, through a study commissioned for the Knowledge Centre for Bioeconomy in September 2022, has updated the database with the latest information and extended the scope to new socio-economic data, which are made available as a dataset collection (https://publications.jrc.ec.europa.eu/repository/handle/JRC129053) and an accompanying report (https://publications.jrc.ec.europa.eu/repository/handle/JRC130107). More detailed information on the Status of the Algae Producing Industry in Europe can be found in a scientific publication in Frontiers in Marine Science (https://publications.jrc.ec.europa.eu/repository/handle/JRC122250). All this work by the JRC aims at building a reliable database to characterize the algae sector and to support informed European policies on Blue Growth and Bioeconomy. features macroalgaev2 EPSG:4326 CRS:84 -51.749468 23.1227671000001 36.272304 70.6723661 text/xml text/plain application/zip majorcatches The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated. features majorcatches EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip majorcatchesbycountry The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated features majorcatchesbycountry EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip majorcatchesbygroup The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated features majorcatchesbygroup EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip majoreffort The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features majoreffort EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip majoreffortbycountry The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features majoreffortbycountry EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip majoreffortbyvesseltype The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features majoreffortbyvesseltype EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip maltacables The dataset on subsea telecommunication cables in the European waters was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contain lines representing actual cable routes locations. Compared with the previous version, this version includes an update of the German cables. features maltacables EPSG:4326 CRS:84 12.4589233398438 29.701904296875 31.0783081054688 37.6597290039062 text/xml text/plain application/zip marineprotectedareas The dataset on Marine Protected Areas (MPAs) established under the framework of the Regional Sea Conventions (RSCs) was created in 2023 by Cogea for the European Marine Observation and Data Network (EMODnet). It is based on spatial data provided by HELCOM, by SPA/RAC and MedPAN through the MAPAMED database, and by OSPAR. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset displays all the MPAs as officially reported by the respective Contracting Parties to the Helsinky Convention, to the Barcelona Convention and to the Convention for the Protection of the Marine Environment of the North-East Atlantic. The RSCs MPAs are established in order to promote the cooperation in the management and conservation of natural areas, as well as in the protection of threatened species and their habitats. Each RSC MPA may be established in the marine and coastal zones subject to the sovereignty or jurisdiction of the Parties and in areas situated partly or wholly on the high sea. Thus, the dataset covers the MPAs Beyond National Jurisdiction (ABNJ) and the MPAs in following countries: Albania, Algeria, Belgium, Cyprus, Denmark, Estonia, Finland, France, Germany, Iceland, Ireland, Italy, Latvia, Lebanon, Lithuania, Monaco, Morocco, Netherlands, Norway, Poland, Portugal, Russia, Slovenia, Spain, Sweden, Tunisia, and the United Kingdom. Where available each polygon has the following attributes: Regional Sea Convention (Barcelona, HELCOM, OSPAR), code, name (english and/or original), country, designation, IUCN category (Ia, Ib, II, IV, V, not applicable, not assigned, not reported), area sqkm (reported, calculated), marine area sqkm (reported, calculated), status (adopted/designated, managed or partly managed, proposed), establishement year, management authorithy, site link. For further information please visit the data providers websites. This dataset covers the last updated versions released in the 2021 and 2022 by HELCOM and MAPAMED, and in the 2024 by OSPAR. features marineprotectedareas EPSG:4326 CRS:84 -42.38993453979492 36.17428970336914 34.0986328125 74.91666412353516 text/xml text/plain application/zip market The dataset on the European Union's fisheries Advisory Councils was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated as soon as any changes are made in any of the Advisory Councils and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons representing the geographical scope, jurisdiction and information for each of the Advisory Councils of the European sea basins. Each polygon has the following attributes (where available): Name, Members, Scope, Sea basin, Legal foundation date, Legal foundation document and a URL-link to the Advisory Council's website. features advisorycouncils EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/xml text/plain application/zip mediterranean The dataset on the European Union's fisheries Advisory Councils was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated as soon as any changes are made in any of the Advisory Councils and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons representing the geographical scope, jurisdiction and information for each of the Advisory Councils of the European sea basins. Each polygon has the following attributes (where available): Name, Members, Scope, Sea basin, Legal foundation date, Legal foundation document and a URL-link to the Advisory Council's website. features advisorycouncils EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/xml text/plain application/zip microalgae This dataset stems from the Joint Research Centre (JRC) Biomass Mandate (https://knowledge4policy.ec.europa.eu/projects-activities/jrc-biomass-mandate_en) and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities) and on the platform from the European Commission’s Knowledge Centre for Bioeconomy (https://knowledge4policy.ec.europa.eu/visualisation/bioeconomy-different-countries_en#algae_prod_plants). The dataset provides information on the location (geographic coordinates and country) of the production facilities and their related info as the group of produced organism (macroalgae, microalgae and spirulina), the step in the value chain (Producer, Processor, Technology provider, Consultancy, Research and Development, Trader/Exporter) the production method (Fermenters, Harvesting , Photobioreactors, Open ponds, Semi Open ponds, land-based or at sea Aquaculture, Integrated multi-trophic or not) and the species farmed (see dataset). The data have been collected for the following countries: Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Faroe Islands, France, Germany, Greece, Greenland, Hungary, Iceland, Ireland, Italy, Latvia, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland and the United Kingdom. The JRC, through a study commissioned for the Knowledge Centre for Bioeconomy in September 2022, has updated the database with the latest information and extended the scope to new socio-economic data, which are made available as a dataset collection (https://publications.jrc.ec.europa.eu/repository/handle/JRC129053) and an accompanying report (https://publications.jrc.ec.europa.eu/repository/handle/JRC130107). More detailed information on the Status of the Algae Producing Industry in Europe can be found in a scientific publication in Frontiers in Marine Science (https://publications.jrc.ec.europa.eu/repository/handle/JRC122250). All this work by the JRC aims at building a reliable database to characterize the algae sector and to support informed European policies on Blue Growth and Bioeconomy. features microalgaev2 EPSG:4326 CRS:84 -25.678545 26.69245 27.8149470000001 64.138153 text/xml text/plain application/zip militaryareas The dataset on offshore military areas in the European seas was created in 2020 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains points and/or (where available) polygons representing offshore military areas in the following countries: Belgium, Bulgaria, Denmark, Estonia, Finland, France, Germany, Greece, Ireland, Latvia, Lithuania, Netherlands, Poland, Portugal, Spain and Sweden. Each point and/or polygon has the following attributes (where available): Country, Country_2, Country_3, Status (Active, Deactivated, Unknown, Planned), Type_1 (Firing Area, Air Force Exercise, Surface Exercise, Underwater Exercise, Mine Hunting Exercise, National Defence Area), Type_2, Type_3, Resource, Distance to coast (metres) and Area (square kilometres). The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in. features militaryareas EPSG:4326 CRS:84 -8.299169090680948 24.40666670030805 35.53333332956953 57.7577778000055 text/xml text/plain application/zip militaryareaspoly The dataset on offshore military areas in the European seas was created in 2020 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains points and/or (where available) polygons representing offshore military areas in the following countries: Belgium, Bulgaria, Denmark, Estonia, Finland, France, Germany, Greece, Ireland, Latvia, Lithuania, Netherlands, Poland, Portugal, Spain and Sweden. Each point and/or polygon has the following attributes (where available): Country, Country_2, Country_3, Status (Active, Deactivated, Unknown, Planned), Type_1 (Firing Area, Air Force Exercise, Surface Exercise, Underwater Exercise, Mine Hunting Exercise, National Defence Area), Type_2, Type_3, Resource, Distance to coast (metres) and Area (square kilometres). The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in. militaryareaspoly features EPSG:4326 CRS:84 -18.984167098999023 29.350000381469727 24.851943969726562 65.95814514160156 text/xml text/plain application/zip mspspatialplan The dataset on Maritime Spatial Planning (MSP) in the EU was created in 2021 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is released as soon a new plan is adopted or updated by an EU member state and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons, points and lines representing Maritime Spatial Planning (MSP) in the following countries: Belgium, Denmark, Estonia, Finland, Germany, Italy, Latvia, Lithuania, Netherlands, Poland, Spain and Sweden. The MSP dataset is made up of 3 types of spatial features: MSP Spatial Plan, MSP Zoning Element and MSP Supplementary Regulation. Also there is a non spatial feature called MSP Official Documentation. The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in. The MSP datasets shown on the EMODnet portal do not represent agreed maritime boundaries and are therefore without prejudice to the sovereign rights of the relevant States. Any datasets shown cannot be used as a claim by a State for its continental shelf or exclusive economic zone extents and sovereign rights. features mspspatialplan EPSG:4326 CRS:84 -21.895280838012695 28.208986282348633 24.58873176574707 65.81475067138672 text/xml text/plain application/zip mspzoningline The dataset on Maritime Spatial Planning (MSP) in the EU was created in 2021 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is released as soon a new plan is adopted or updated by an EU member state and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons, points and lines representing Maritime Spatial Planning (MSP) in the following countries: Belgium, Denmark, Estonia, Finland, Germany, Italy, Latvia, Lithuania, Netherlands, Poland, Spain and Sweden. The MSP dataset is made up of 3 types of spatial features: MSP Spatial Plan, MSP Zoning Element and MSP Supplementary Regulation. Also there is a non spatial feature called MSP Official Documentation. The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in. The MSP datasets shown on the EMODnet portal do not represent agreed maritime boundaries and are therefore without prejudice to the sovereign rights of the relevant States. Any datasets shown cannot be used as a claim by a State for its continental shelf or exclusive economic zone extents and sovereign rights. features mspzoningline EPSG:4326 CRS:84 2.276999950408936 27.763626098632812 51.31916427612305 65.89689636230469 text/xml application/zip text/plain mspzoninglocs The dataset on Maritime Spatial Planning (MSP) in the EU was created in 2021 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is released as soon a new plan is adopted or updated by an EU member state and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons, points and lines representing Maritime Spatial Planning (MSP) in the following countries: Belgium, Denmark, Estonia, Finland, Germany, Italy, Latvia, Lithuania, Netherlands, Poland, Spain and Sweden. The MSP dataset is made up of 3 types of spatial features: MSP Spatial Plan, MSP Zoning Element and MSP Supplementary Regulation. Also there is a non spatial feature called MSP Official Documentation. The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in. The MSP datasets shown on the EMODnet portal do not represent agreed maritime boundaries and are therefore without prejudice to the sovereign rights of the relevant States. Any datasets shown cannot be used as a claim by a State for its continental shelf or exclusive economic zone extents and sovereign rights. features mspzoninglocs EPSG:4326 CRS:84 2.437667846679688 24.48750114440918 51.21678161621094 65.12332153320312 text/xml application/zip text/plain mspzoningpoly The dataset on Maritime Spatial Planning (MSP) in the EU was created in 2021 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is released as soon a new plan is adopted or updated by an EU member state and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons, points and lines representing Maritime Spatial Planning (MSP) in the following countries: Belgium, Denmark, Estonia, Finland, Germany, Italy, Latvia, Lithuania, Netherlands, Poland, Spain and Sweden. The MSP dataset is made up of 3 types of spatial features: MSP Spatial Plan, MSP Zoning Element and MSP Supplementary Regulation. Also there is a non spatial feature called MSP Official Documentation. The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in. The MSP datasets shown on the EMODnet portal do not represent agreed maritime boundaries and are therefore without prejudice to the sovereign rights of the relevant States. Any datasets shown cannot be used as a claim by a State for its continental shelf or exclusive economic zone extents and sovereign rights. features mspzoningpoly EPSG:4326 CRS:84 -21.540876388549805 28.044992446899414 24.59248161315918 65.81466674804688 text/xml application/zip text/plain munitions The dataset on dumped munitions in the European seas was created in 2018 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains points and/or (where available) polygons representing dumped munitions sites in the European sea basins. Each point and/or polygon has the following attributes (where available): Munition type (Conventional and/or Chemical, and/or Unknown), Munition description, Information provider, Update date and Distance to coast (metres). The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in. features munitions EPSG:4326 CRS:84 -38.8900032043457 39.809600830078125 35.29059982299805 71.9498062133789 text/xml text/plain application/zip munitionspoly The dataset on dumped munitions in the European seas was created in 2018 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains points and/or (where available) polygons representing dumped munitions sites in the European sea basins. Each point and/or polygon has the following attributes (where available): Munition type (Conventional and/or Chemical, and/or Unknown), Munition description, Information provider, Update date and Distance to coast (metres). The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in. features munitionspoly EPSG:4326 CRS:84 -15.217094421386719 34.2775993347168 28.1003475189209 65.39530181884766 text/xml text/plain application/zip natura2000areas The dataset on Natura 2000 sites was created in 2014 by Cogea for the European Marine Observation and Data Network. It is entirely based on spatial data from the European Environmental Agency (EEA), plus selected EEA tabular data added as feature attributes, as well as the Cogea's calculation of marine and coastal location of features. It is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs). The dataset covers the whole EU. Following the United Kingdom’s withdrawal from the EU on 31 January 2020, it ceased to be part of the EEA’s institutional networks and governance. In the webmap the EEA dataset has been filtered to show only (i) marine sites, i.e. sites with a marine area percentage higher than 0 (as calculated by the EEA) and (ii) sites that, even if not identified as marine by the EEA, intersect the EEA coastline or that are within a distance of 1 km from the coastline (using a 1 km inner buffer from the EEA coastline). In both cases the COAST_MAR field value=1. The EEA coastline dataset is available at https://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis-2. Where available, each polygon has the following attributes: site code, site name, country code, country name, site type (A, B, C), site description (Special Conservation Interest - SCI, Special Protection Areas - SPA, Both SPA and SCI), link to directive, area (ha), marine area percentage, release date, date classified as SPA, date confirmed as SCI, date designated as SAC, marine/coastal location of feature (1). Compared with the previous version, this one includes the updated datasets 'eea_v_3035_100_k_natura2000_p_2024_v01_r00' and 'eea_t_natura2000_p_2024_v01_r00', published by the EEA in December 2025. For further information (e.g. biogeographic region, directive, habitats, sites, impact, management, species and metadata) please visit the EEA's website hosting the Natura 2000 tabular data. features natura2000areas EPSG:4326 CRS:84 -32.36805725097656 34.10148620605469 24.58873176574707 69.10978698730469 text/xml text/plain application/zip northsea The dataset on the European Union's fisheries Advisory Councils was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated as soon as any changes are made in any of the Advisory Councils and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons representing the geographical scope, jurisdiction and information for each of the Advisory Councils of the European sea basins. Each polygon has the following attributes (where available): Name, Members, Scope, Sea basin, Legal foundation date, Legal foundation document and a URL-link to the Advisory Council's website. features advisorycouncils EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/xml text/plain application/zip northwesternwaters The dataset on the European Union's fisheries Advisory Councils was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated as soon as any changes are made in any of the Advisory Councils and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons representing the geographical scope, jurisdiction and information for each of the Advisory Councils of the European sea basins. Each polygon has the following attributes (where available): Name, Members, Scope, Sea basin, Legal foundation date, Legal foundation document and a URL-link to the Advisory Council's website. features advisorycouncils EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/xml text/plain application/zip nuclear The geodatabase on coastal Nuclear Power Plants was created in 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several EU and non-EU sources. It is available for viewing and download on the EMODnet Human Activities web portal (www.emodnet-humanactivities.eu). The geodatabase contains points representing nuclear power plants sites in the following countries: Belgium, Finland, France, Germany, Italy, Netherlands, Romania, Russia, Spain, Sweden, Turkey and UK. Where available each point has the following attributes: EMODnet Code, Plant Name, Country, Status (Operational, Permanently shut down, Planned, Under construction), Number of Reactors, Thermal Capacity (MW), Gross Capacity (MW), Net Capacity (MW), Location (Municipality), Water Source, Latitude, Longitude. Additional informations about reactors are stored in a separated table and are related to the point feature class. Where available for each reactor the following attributes are reported: EMODnet Code, Plant Name, Status (Operational, Permanently shut down, Planned, Under construction), Type, Model, Fuel Type, Thermal Capacity (MW), Gross Capacity (MW), Net Capacity (MW), Operator, Nuclear Steam Supply System (NSSS), Construction Year, Construction Month, Criticality Year, Criticality Month, Connection to the Grid Year, Connection to the Grid Month, Shut Down Year, Shut Down Month. The dataset will be updated every year. features nuclear EPSG:4326 CRS:84 -4.89630126953125 33.5410766601563 36.1444702148438 64.5307006835938 text/xml text/plain application/zip oenergy The dataset on ocean energy in the European seas was created in 2014 by AZTI for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources from all across the European countries. It is updated every year, and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains points representing Ocean Energy project sites in the following countries: Belgium, Denmark, Finland, France, Ireland, Italy, Norway, Portugal, Russia, Spain, Sweden, The Netherlands and United Kingdom. Where available, each point has the following attributes: site code (ID_1), project code (ID), name, location, country, sea basin, sea, distance to coast (metres), resource type (wave, tidal, salinity gradient, wave/wind, solar), starting year, ending year, lease status, technology (Based on www.aquaret.com/), device, device scale (Full scale, prototype, etc.), project scale (Commercial, Demonstrator Array, etc.), project status (operational, completed, etc.), project capacity (KW), promoter, position info (it indicates if the attribute value is original from the source or has been estimated or calculated the polygon centroid) and the studies conducted for the environmental assessment (EIA). In 2016, a feature on areas for ocean energy test sites was included. It contains polygons representing Ocean Energy test sites in the following countries: Denmark, France, Ireland, Norway, Portugal, Spain, Sweden, The Netherlands and United Kingdom. Where available, each polygon has the following attributes: test site code, name, location, country, sea basin, sea, distance to coast (metres), resource type (wave, tidal), starting year, ending year, lease status, site status, capacity (kW), depth (metres), area (square km), grid connection, number of berths, developer, position info (it indicates if the attribute value is original from the source or has been estimated) and the studies conducted for the Environmental Assessment (EIA). In 2025, new data has been included and existing data has been updated. features testoenergy EPSG:4326 CRS:84 -28.44599999999997 43.65300000000008 28.037000000000035 70.66359800000004 text/xml text/plain application/zip oenergytests The dataset on ocean energy in the European seas was created in 2014 by AZTI for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources from all across the European countries. It is updated every year, and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains points representing Ocean Energy project sites in the following countries: Belgium, Denmark, Finland, France, Ireland, Italy, Norway, Portugal, Russia, Spain, Sweden, The Netherlands and United Kingdom. Where available, each point has the following attributes: site code (ID_1), project code (ID), name, location, country, sea basin, sea, distance to coast (metres), resource type (wave, tidal, salinity gradient, wave/wind, solar), starting year, ending year, lease status, technology (Based on www.aquaret.com/), device, device scale (Full scale, prototype, etc.), project scale (Commercial, Demonstrator Array, etc.), project status (operational, completed, etc.), project capacity (KW), promoter, position info (it indicates if the attribute value is original from the source or has been estimated or calculated the polygon centroid) and the studies conducted for the environmental assessment (EIA). In 2016, a feature on areas for ocean energy test sites was included. It contains polygons representing Ocean Energy test sites in the following countries: Denmark, France, Ireland, Norway, Portugal, Spain, Sweden, The Netherlands and United Kingdom. Where available, each polygon has the following attributes: test site code, name, location, country, sea basin, sea, distance to coast (metres), resource type (wave, tidal), starting year, ending year, lease status, site status, capacity (kW), depth (metres), area (square km), grid connection, number of berths, developer, position info (it indicates if the attribute value is original from the source or has been estimated) and the studies conducted for the Environmental Assessment (EIA). In 2025, new data has been included and existing data has been updated. features oenergytests EPSG:4326 CRS:84 -15.40971565246582 17.249046325683594 28.01714515686035 62.39169692993164 text/xml text/plain application/zip ospar This dataset visualises the marine area with is covered by the Barcelona, Bucharest, HELCOM and OSPAR Convention. Bucharest Convention dataset was locally created by cutting marine area of Black Sea and Sea of Azov. HELCOM dataset was downloaded or connect via WMS to http://maps.helcom.fi/ArcGIS/services/DataDelivery/MapServer/WMSServer features intconventions EPSG:4326 CRS:84 -44.199180603027344 51.000083923339844 30.266216278076172 89.9000015258789 text/xml text/plain application/zip outermostregions The dataset on the European Union's fisheries Advisory Councils was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated as soon as any changes are made in any of the Advisory Councils and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons representing the geographical scope, jurisdiction and information for each of the Advisory Councils of the European sea basins. Each polygon has the following attributes (where available): Name, Members, Scope, Sea basin, Legal foundation date, Legal foundation document and a URL-link to the Advisory Council's website. features advisorycouncils EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/xml text/plain application/zip pcablesbshcontis The dataset on subsea power cables in the European waters was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contain lines representing actual cable routes locations. Compared with the previous version, this version now includes the German high voltage cables. features pcablesbshcontis EPSG:4326 CRS:84 4.78189039230347 14.1025724411011 53.4268760681152 55.4327697753906 text/xml text/plain application/zip pcablesnve The dataset on subsea power cables in the European waters was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contain lines representing actual cable routes locations. Compared with the previous version, this version now includes the German high voltage cables. features pcablesnve EPSG:4326 CRS:84 4.59427881240845 30.1224784851074 53.4458541870117 71.0426406860352 text/xml text/plain application/zip pcablesrijks The dataset on subsea power cables in the European waters was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contain lines representing actual cable routes locations. Compared with the previous version, this version now includes the German high voltage cables. features pcablesrijks EPSG:4326 CRS:84 0.313135802745819 8.17861652374268 51.4129104614258 55.8069534301758 text/xml text/plain application/zip pcablesshom The dataset on subsea power cables in the European waters was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contain lines representing actual cable routes locations. Compared with the previous version, this version now includes the German high voltage cables. features pcablesshom EPSG:4326 CRS:84 -151.771606445312 166.472946166992 -22.3335704803467 51.0881423950195 text/xml text/plain application/zip pelagicstocks The dataset on the European Union's fisheries Advisory Councils was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated as soon as any changes are made in any of the Advisory Councils and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons representing the geographical scope, jurisdiction and information for each of the Advisory Councils of the European sea basins. Each polygon has the following attributes (where available): Name, Members, Scope, Sea basin, Legal foundation date, Legal foundation document and a URL-link to the Advisory Council's website. features advisorycouncils EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/xml text/plain application/zip pipelines The dataset on offshore pipelines in the European waters was created in 2017 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains lines representing the actual routes of offshore pipelines (where available) in the following countries: Croatia, Denmark, Estonia, Finland, Germany, Ireland, Netherlands, Norway, Poland, Russia, Spain (Andalucía), Sweden and United Kingdom. Each line has the following harmonized attributes (where available): code, name, status (abandoned, active, application submitted, not in use, planned, pre-commissioning, proposed, under construction), medium (air, chemical glycol, chemical methanol, chemical n/a, condensate, control, cooling water, gas, geothermal heating, hydraulic, mixed hydrocarbons, oil, other fluid, sewage, water), operator, size (inches), length (metres), year, from and to locality or facility, country code, country name and notes. Compared with the previous version, this new version includes updated data from German BSH-CONTIS source. features pipelines EPSG:4326 CRS:84 -11.0591726303101 28.1422805786133 35.9955024719238 71.5687103271484 text/xml text/plain application/zip platforms The dataset on offshore installations for Oil and Gas exploitation and exploration activities in the European seas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several EU and non-EU sources. It is updated every year and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains points representing offshore installations and where available each point has the following attributes: ID, name, country, location block, operator, production start year, primary production, current status, category and function of the installation, sub-structure and topside weights (tonnes), water depth (metres), distance to coast (metres) and notes. The OSPAR commission source covers data for Germany, Ireland, Spain (Atlantic Sea), while for Italy data have been collected and harmonized from the Italian Ministry of Economic Development, for Denmark from the Danish Energy Agency, for the Netherlands from the TNO - Geological Survey of the Netherlands, for Croatia from the Croatian Hydrocarbon Agency, for Norway from the Norwegian Petroleum Directorate, for the UK from the Oil and Gas Authority (surface infrastructures), for Polish and Russian installations in the Baltic Sea from Marine Traffic and Helcom, finally from Marine Traffic come the data for Bulgarian, Russian and Ukrainian installations in the Black Sea and for Spanish installations in the Mediterranean Sea. features platforms EPSG:4326 CRS:84 -11.21670913696289 20.732093811035156 36.36063766479492 72.7205810546875 text/xml text/plain application/zip portgoods The dataset on maritime transport of goods, passengers and vessels in the European main ports was created in 2014 by Eurofish and Cogea for the European Marine Observation and Data Network (EMODnet). It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the harmonization and aggregation on annual basis of the quarterly Eurostat Maritime transport data, provided by port in the EU Member States, Montenegro, Norway, Turkey and the UK. Eurostat data have been related to the 'Ports 2013' EUROSTAT GISCO's points georeferenced dataset, when available, or to the ports locations coming from other sources, such as UN/LOCODE, Lloyd’s List, Marine Traffic, VESSEL TRACKER and ports' authorities. Goods traffic data are reported in thousands of tonnes by year, type of cargo and direction. Passengers traffic data are reported in thousands passengers (excluding cruise passengers) by direction and traffic type. Vessels traffic data are reported in unit and gross tonnage (thousands) of vessels by vessel size class and vessel type. Where available, the latest update includes data from the 1997 up to the 2025. features portgoods EPSG:4326 CRS:84 -61.53302001999998 55.28234505 -20.935930749999898 77.85000000000008 text/xml text/plain application/zip portlocations The dataset on maritime transport of goods, passengers and vessels in the European main ports was created in 2014 by Eurofish and Cogea for the European Marine Observation and Data Network (EMODnet). It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the harmonization and aggregation on annual basis of the quarterly Eurostat Maritime transport data, provided by port in the EU Member States, Montenegro, Norway, Turkey and the UK. Eurostat data have been related to the 'Ports 2013' EUROSTAT GISCO's points georeferenced dataset, when available, or to the ports locations coming from other sources, such as UN/LOCODE, Lloyd’s List, Marine Traffic, VESSEL TRACKER and ports' authorities. Goods traffic data are reported in thousands of tonnes by year, type of cargo and direction. Passengers traffic data are reported in thousands passengers (excluding cruise passengers) by direction and traffic type. Vessels traffic data are reported in unit and gross tonnage (thousands) of vessels by vessel size class and vessel type. Where available, the latest update includes data from the 1997 up to the 2025. features portlocations EPSG:4326 CRS:84 -61.533023834228516 55.2823486328125 -20.935932159423828 77.85000610351562 text/xml text/plain application/zip portpassengers The dataset on maritime transport of goods, passengers and vessels in the European main ports was created in 2014 by Eurofish and Cogea for the European Marine Observation and Data Network (EMODnet). It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the harmonization and aggregation on annual basis of the quarterly Eurostat Maritime transport data, provided by port in the EU Member States, Montenegro, Norway, Turkey and the UK. Eurostat data have been related to the 'Ports 2013' EUROSTAT GISCO's points georeferenced dataset, when available, or to the ports locations coming from other sources, such as UN/LOCODE, Lloyd’s List, Marine Traffic, VESSEL TRACKER and ports' authorities. Goods traffic data are reported in thousands of tonnes by year, type of cargo and direction. Passengers traffic data are reported in thousands passengers (excluding cruise passengers) by direction and traffic type. Vessels traffic data are reported in unit and gross tonnage (thousands) of vessels by vessel size class and vessel type. Where available, the latest update includes data from the 1997 up to the 2025. features portpassengers EPSG:4326 CRS:84 -61.53302001999998 55.28234505 -20.935930749999898 77.85000000000008 text/xml text/plain application/zip portvessels The dataset on maritime transport of goods, passengers and vessels in the European main ports was created in 2014 by Eurofish and Cogea for the European Marine Observation and Data Network (EMODnet). It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the harmonization and aggregation on annual basis of the quarterly Eurostat Maritime transport data, provided by port in the EU Member States, Montenegro, Norway, Turkey and the UK. Eurostat data have been related to the 'Ports 2013' EUROSTAT GISCO's points georeferenced dataset, when available, or to the ports locations coming from other sources, such as UN/LOCODE, Lloyd’s List, Marine Traffic, VESSEL TRACKER and ports' authorities. Goods traffic data are reported in thousands of tonnes by year, type of cargo and direction. Passengers traffic data are reported in thousands passengers (excluding cruise passengers) by direction and traffic type. Vessels traffic data are reported in unit and gross tonnage (thousands) of vessels by vessel size class and vessel type. Where available, the latest update includes data from the 1997 up to the 2025. features portvessels EPSG:4326 CRS:84 -61.53302001999998 55.28234505 -20.935930749999898 77.85000000000008 text/xml text/plain application/zip portvesselsbytonnage The dataset on maritime transport of goods, passengers and vessels in the European main ports was created in 2014 by Eurofish and Cogea for the European Marine Observation and Data Network (EMODnet). It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the harmonization and aggregation on annual basis of the quarterly Eurostat Maritime transport data, provided by port in the EU Member States, Montenegro, Norway, Turkey and the UK. Eurostat data have been related to the 'Ports 2013' EUROSTAT GISCO's points georeferenced dataset, when available, or to the ports locations coming from other sources, such as UN/LOCODE, Lloyd’s List, Marine Traffic, VESSEL TRACKER and ports' authorities. Goods traffic data are reported in thousands of tonnes by year, type of cargo and direction. Passengers traffic data are reported in thousands passengers (excluding cruise passengers) by direction and traffic type. Vessels traffic data are reported in unit and gross tonnage (thousands) of vessels by vessel size class and vessel type. Where available, the latest update includes data from the 1997 up to the 2025. features portvesselsbytonnage EPSG:4326 CRS:84 -61.53302001999998 55.28234505 -20.935930749999898 77.85000000000008 text/xml text/plain application/zip portvesselsbytype The dataset on maritime transport of goods, passengers and vessels in the European main ports was created in 2014 by Eurofish and Cogea for the European Marine Observation and Data Network (EMODnet). It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the harmonization and aggregation on annual basis of the quarterly Eurostat Maritime transport data, provided by port in the EU Member States, Montenegro, Norway, Turkey and the UK. Eurostat data have been related to the 'Ports 2013' EUROSTAT GISCO's points georeferenced dataset, when available, or to the ports locations coming from other sources, such as UN/LOCODE, Lloyd’s List, Marine Traffic, VESSEL TRACKER and ports' authorities. Goods traffic data are reported in thousands of tonnes by year, type of cargo and direction. Passengers traffic data are reported in thousands passengers (excluding cruise passengers) by direction and traffic type. Vessels traffic data are reported in unit and gross tonnage (thousands) of vessels by vessel size class and vessel type. Where available, the latest update includes data from the 1997 up to the 2025. features portvesselsbytype EPSG:4326 CRS:84 -61.53302001999998 55.28234505 -20.935930749999898 77.85000000000008 text/xml text/plain application/zip reportingunits The present layer compiles the marine regions and subregions listed in Article 4 of the Marine Strategy Framework Directive (MSFD), together with other surrounding seas of Europe. The MSFD marine regions and subregions map was developed to support DG Environment and EU Member States in their implementation of the MSFD. It represents the current state of understanding of the marine regions and subregions and is subject to amendment in light of any new information which may be produced features reportingunits EPSG:4326 CRS:84 -41.309940338134766 41.808231353759766 24.593544006347656 65.9075698852539 text/xml text/plain application/zip rijkscables The dataset on subsea telecommunication cables in the European waters was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contain lines representing actual cable routes locations. Compared with the previous version, this version includes an update of the German cables. features rijkscables EPSG:4326 CRS:84 -7.99781370162964 8.6187915802002 47.8384819030762 59.4191513061523 text/xml text/plain application/zip routedensity_01 The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_01 WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z,2025-01-01T00:00:00.000Z,2025-02-01T00:00:00.000Z,2025-03-01T00:00:00.000Z,2025-04-01T00:00:00.000Z,2025-05-01T00:00:00.000Z,2025-06-01T00:00:00.000Z,2025-07-01T00:00:00.000Z,2025-08-01T00:00:00.000Z,2025-09-01T00:00:00.000Z,2025-10-01T00:00:00.000Z,2025-11-01T00:00:00.000Z,2025-12-01T00:00:00.000Z,2026-01-01T00:00:00.000Z text/xml application/zip routedensity_01avg The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_01avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2025-01-01T00:00:00.000Z text/xml application/zip routedensity_01seasonal The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_01seasonal WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2019-05-31T00:00:00.000Z,2019-08-31T00:00:00.000Z,2019-11-30T00:00:00.000Z,2020-02-29T00:00:00.000Z,2020-05-31T00:00:00.000Z,2020-08-31T00:00:00.000Z,2020-11-30T00:00:00.000Z,2021-02-28T00:00:00.000Z,2021-05-31T00:00:00.000Z,2021-08-31T00:00:00.000Z,2021-11-30T00:00:00.000Z,2022-02-28T00:00:00.000Z,2022-05-31T00:00:00.000Z,2022-08-31T00:00:00.000Z,2022-11-30T00:00:00.000Z,2023-02-28T00:00:00.000Z,2023-05-31T00:00:00.000Z,2023-08-31T00:00:00.000Z,2023-11-30T00:00:00.000Z,2024-02-29T00:00:00.000Z,2024-05-31T00:00:00.000Z,2024-08-31T00:00:00.000Z,2024-11-30T00:00:00.000Z,2025-02-28T00:00:00.000Z,2025-05-31T00:00:00.000Z,2025-08-31T00:00:00.000Z,2025-11-30T00:00:00.000Z text/xml application/zip routedensity_02 The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_02 WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 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text/xml application/zip routedensity_02avg The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_02avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2025-01-01T00:00:00.000Z text/xml application/zip routedensity_02seasonal The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_02seasonal WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2019-05-31T00:00:00.000Z,2019-08-31T00:00:00.000Z,2019-11-30T00:00:00.000Z,2020-02-29T00:00:00.000Z,2020-05-31T00:00:00.000Z,2020-08-31T00:00:00.000Z,2020-11-30T00:00:00.000Z,2021-02-28T00:00:00.000Z,2021-05-31T00:00:00.000Z,2021-08-31T00:00:00.000Z,2021-11-30T00:00:00.000Z,2022-02-28T00:00:00.000Z,2022-05-31T00:00:00.000Z,2022-08-31T00:00:00.000Z,2022-11-30T00:00:00.000Z,2023-02-28T00:00:00.000Z,2023-05-31T00:00:00.000Z,2023-08-31T00:00:00.000Z,2023-11-30T00:00:00.000Z,2024-02-29T00:00:00.000Z,2024-05-31T00:00:00.000Z,2024-08-31T00:00:00.000Z,2024-11-30T00:00:00.000Z,2025-02-28T00:00:00.000Z,2025-05-31T00:00:00.000Z,2025-08-31T00:00:00.000Z,2025-11-30T00:00:00.000Z text/xml application/zip routedensity_03 The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_03 WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 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text/xml application/zip routedensity_03avg The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_03avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2025-01-01T00:00:00.000Z text/xml application/zip routedensity_03seasonal The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_03seasonal WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2019-05-31T00:00:00.000Z,2019-08-31T00:00:00.000Z,2019-11-30T00:00:00.000Z,2020-02-29T00:00:00.000Z,2020-05-31T00:00:00.000Z,2020-08-31T00:00:00.000Z,2020-11-30T00:00:00.000Z,2021-02-28T00:00:00.000Z,2021-05-31T00:00:00.000Z,2021-08-31T00:00:00.000Z,2021-11-30T00:00:00.000Z,2022-02-28T00:00:00.000Z,2022-05-31T00:00:00.000Z,2022-08-31T00:00:00.000Z,2022-11-30T00:00:00.000Z,2023-02-28T00:00:00.000Z,2023-05-31T00:00:00.000Z,2023-08-31T00:00:00.000Z,2023-11-30T00:00:00.000Z,2024-02-29T00:00:00.000Z,2024-05-31T00:00:00.000Z,2024-08-31T00:00:00.000Z,2024-11-30T00:00:00.000Z,2025-02-28T00:00:00.000Z,2025-05-31T00:00:00.000Z,2025-08-31T00:00:00.000Z,2025-11-30T00:00:00.000Z text/xml application/zip routedensity_04 The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_04 WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z,2025-01-01T00:00:00.000Z,2025-02-01T00:00:00.000Z,2025-03-01T00:00:00.000Z,2025-04-01T00:00:00.000Z,2025-05-01T00:00:00.000Z,2025-06-01T00:00:00.000Z,2025-07-01T00:00:00.000Z,2025-08-01T00:00:00.000Z,2025-09-01T00:00:00.000Z,2025-10-01T00:00:00.000Z,2025-11-01T00:00:00.000Z,2025-12-01T00:00:00.000Z,2026-01-01T00:00:00.000Z text/xml application/zip routedensity_04avg The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_04avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2025-01-01T00:00:00.000Z text/xml application/zip routedensity_04seasonal The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_04seasonal WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2019-05-31T00:00:00.000Z,2019-08-31T00:00:00.000Z,2019-11-30T00:00:00.000Z,2020-02-29T00:00:00.000Z,2020-05-31T00:00:00.000Z,2020-08-31T00:00:00.000Z,2020-11-30T00:00:00.000Z,2021-02-28T00:00:00.000Z,2021-05-31T00:00:00.000Z,2021-08-31T00:00:00.000Z,2021-11-30T00:00:00.000Z,2022-02-28T00:00:00.000Z,2022-05-31T00:00:00.000Z,2022-08-31T00:00:00.000Z,2022-11-30T00:00:00.000Z,2023-02-28T00:00:00.000Z,2023-05-31T00:00:00.000Z,2023-08-31T00:00:00.000Z,2023-11-30T00:00:00.000Z,2024-02-29T00:00:00.000Z,2024-05-31T00:00:00.000Z,2024-08-31T00:00:00.000Z,2024-11-30T00:00:00.000Z,2025-02-28T00:00:00.000Z,2025-05-31T00:00:00.000Z,2025-08-31T00:00:00.000Z,2025-11-30T00:00:00.000Z text/xml application/zip routedensity_05 The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_05 WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z,2025-01-01T00:00:00.000Z,2025-02-01T00:00:00.000Z,2025-03-01T00:00:00.000Z,2025-04-01T00:00:00.000Z,2025-05-01T00:00:00.000Z,2025-06-01T00:00:00.000Z,2025-07-01T00:00:00.000Z,2025-08-01T00:00:00.000Z,2025-09-01T00:00:00.000Z,2025-10-01T00:00:00.000Z,2025-11-01T00:00:00.000Z,2025-12-01T00:00:00.000Z,2026-01-01T00:00:00.000Z text/xml application/zip routedensity_05avg The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_05avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2025-01-01T00:00:00.000Z text/xml application/zip routedensity_05seasonal The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_05seasonal WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2019-05-31T00:00:00.000Z,2019-08-31T00:00:00.000Z,2019-11-30T00:00:00.000Z,2020-02-29T00:00:00.000Z,2020-05-31T00:00:00.000Z,2020-08-31T00:00:00.000Z,2020-11-30T00:00:00.000Z,2021-02-28T00:00:00.000Z,2021-05-31T00:00:00.000Z,2021-08-31T00:00:00.000Z,2021-11-30T00:00:00.000Z,2022-02-28T00:00:00.000Z,2022-05-31T00:00:00.000Z,2022-08-31T00:00:00.000Z,2022-11-30T00:00:00.000Z,2023-02-28T00:00:00.000Z,2023-05-31T00:00:00.000Z,2023-08-31T00:00:00.000Z,2023-11-30T00:00:00.000Z,2024-02-29T00:00:00.000Z,2024-05-31T00:00:00.000Z,2024-08-31T00:00:00.000Z,2024-11-30T00:00:00.000Z,2025-02-28T00:00:00.000Z,2025-05-31T00:00:00.000Z,2025-08-31T00:00:00.000Z,2025-11-30T00:00:00.000Z text/xml application/zip routedensity_all The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_all WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 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text/xml application/zip routedensity_allavg The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_allavg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2025-01-01T00:00:00.000Z text/xml application/zip routedensity_allseasonal The Route Density Map at 1 km resolution was created by EMSA in 2019 and made available on EMODnet Human Activities, an initiative funded by the EU Commission. routedensity_allseasonal WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2019-05-31T00:00:00.000Z,2019-08-31T00:00:00.000Z,2019-11-30T00:00:00.000Z,2020-02-29T00:00:00.000Z,2020-05-31T00:00:00.000Z,2020-08-31T00:00:00.000Z,2020-11-30T00:00:00.000Z,2021-02-28T00:00:00.000Z,2021-05-31T00:00:00.000Z,2021-08-31T00:00:00.000Z,2021-11-30T00:00:00.000Z,2022-02-28T00:00:00.000Z,2022-05-31T00:00:00.000Z,2022-08-31T00:00:00.000Z,2022-11-30T00:00:00.000Z,2023-02-28T00:00:00.000Z,2023-05-31T00:00:00.000Z,2023-08-31T00:00:00.000Z,2023-11-30T00:00:00.000Z,2024-02-29T00:00:00.000Z,2024-05-31T00:00:00.000Z,2024-08-31T00:00:00.000Z,2024-11-30T00:00:00.000Z,2025-02-28T00:00:00.000Z,2025-05-31T00:00:00.000Z,2025-08-31T00:00:00.000Z,2025-11-30T00:00:00.000Z text/xml application/zip shellfish The dataset on shellfish aquaculture in the Eropean seas was created in 2014 by AND-International for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by national sources across the EU (plus Norway and the UK) and by the project Euroshell. The dataset contains points representing shellfish farms or shellfish production areas (depending on available data) in the following countries: Bulgaria, Denmark, France, Greece, Ireland, Italy, Netherlands, Norway, Slovenia, Spain and United Kingdom. Data from Bulgaria, Denmark, Greece, Ireland, Norway, Spain and Scotland come from the official lists of registered aquaculture sites. Data from France relies on cadastral data. Data from the Netherlands, Italy and England and Wales come from the Euroshell project. Data is missing for Germany, Portugal, Sweden and Croatia. Except for Germany, the shellfish production remains limited in those MS. There is no production in other MS. Each point has the following attributes (where available): status (active, inactive, licensed), country, owner name, farm type (Mussels, Oysters, Mussels-Oysters, Clams, Specialised (other), Mixed (other)), production method (Beds, Long lines, Rafts, Saltwater closed (recirculation), Saltwater ponds, Saltwater tanks/raceways, Trestles or trays, Other), production stage (Grow out for human consumption, Hatchery, Nursery, Broodstock, Reproduction, Harvest, Other), purpose (Commercial, Research, Education, Display, Other), products detailed (English translation of the information provided on species grown or authorised in the source), point information (Polygon centroid, Original) depending on how the information is provided in the source (polygons or points), site_id, distance to coast (metres), position from coastline (At sea, within the coastline). The farm type relies on a typology established by AND-International, based on available information on species grown or authorised. A relational table provides harmonised information about species grown or authorised using Eurostat nomenclature for the Species Group (Mussels; Oysters; Clams, cockles, arkshells; Scallops, pectens; Abalones, winkles, conchs; Sea-urchins and other echinoderms) and when available the species name (e.g. Blue mussels - Mytilus edulis). The distance to coast (EEA coastline shapefile) has been calculated using the original data map projections, where available. In the other cases it was used the UTM WGS84 Zone projected coordinate system where data fall in. Compared with the previous version this new version includes updated data for Denmark, Greece, Ireland, Norway and Scotland and new data from Slovenia and Spain. Data are available for viewing and download on EMODnet - Human Activities web portal (www.emodnet-humanactivities.eu, except for the data from Spain, which are available in the viewer, but not for download. features shellfish EPSG:4326 CRS:84 -10.350463567 28.412291795 37.9827777780001 69.8680830000001 text/xml text/plain application/zip shellfishlics The dataset on licensed sites of shellfish aquaculture in the EU was created in 2023 by AND-International for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by national sources representing the delimitation of shellfish farms (polygons) in the following countries: France, Ireland and Spain. Data from France and Spain comes from national and regional cadastral data, while data from Ireland comes from the list of registered aquaculture sites. Each polygon has the following attributes (where available): country, expiration date, farm type (Mussels, Oysters, Mussels-Oysters, Clams, Specialised (other), Mixed (other)), species from the source (English translation of the information provided on species grown or authorised in the source), production method (Beds, Long lines, Rafts, Saltwater closed (recirculation), Saltwater ponds, Saltwater tanks/raceways, Trestles or trays, Bouchot, On-bottom, Sea cages, Other), production stage (Broodstock, Grow out for human consumption, Harvest, Hatchery, Nursery, Reproduction, Wild capture of seeds, Purification, Maturing, Other), purpose (only specified for some sites authorised for research purposes), polygon information (Lines to Polygon or Original) depending on how the information is provided in the source (polygons or lines), site_id, year updated (in the source), shape length and shape area. The farm type relies on a typology established by AND-International, based on available information on species grown or authorised. A relational table provides harmonised information about species grown or authorised using Eurostat nomenclature for the Species Group (Mussels; Oysters; Clams, cockles, arkshells; Scallops, pectens; Abalones, winkles, conchs; Sea-urchins and other echinoderms) and when available the species name (e.g. Blue mussels - Mytilus edulis). Data are available for viewing and download on EMODnet - Human Activities web portal ( https://emodnet.ec.europa.eu/en/human-activities), except for the data from Spain, which are available in the viewer, but not for download. features shellfishlics EPSG:4236 CRS:84 -10.27679859028945 -1.0992064735251361 45.8558664583431 55.30875449123286 text/xml text/plain application/zip shellfishwfdareas The dataset on the shellfish protected areas under the Water Framework Directive (WFD) was created in 2023 by AND-International for the European Marine Observation and Data Network (EMODnet). The Directive (Article 6, paragraphs 1 and 2) requires Member States to designate areas which require specific protection of their surface water and groundwater, or for the conservation of habitats and species directly depending on water. According to Annex IV (ii) of the WFD, these areas should include areas designated for the protection of economically significant aquatic species (shellfish in this case). This dataset compiles the designated areas as provided by national sources (The Department of Housing, Planning, Community and Local Government of Ireland and The Ministry for Ecological Transition and Demography in Spain) and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). Each polygon has the following attributes: area ID (in EMODnet), country, area name, designation date, ID from the source. features shellfishwfdareas EPSG:4326 CRS:84 -10.426416397094727 4.331650733947754 35.90871810913086 55.30659866333008 text/xml text/plain application/zip shomcables The dataset on subsea telecommunication cables in the European waters was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contain lines representing actual cable routes locations. Compared with the previous version, this version includes an update of the German cables. shomcables features EPSG:4326 CRS:84 -178.212066650391 178.97834777832 -33.8243865966797 51.8656730651855 text/xml text/plain application/zip sigcables The dataset on subsea telecommunication cables in the European waters was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contain lines representing actual cable routes locations. Compared with the previous version, this version includes an update of the German cables. features sigcables EPSG:4326 CRS:84 -64.4697570800781 57.4495849609375 -20.9985847473145 53.9447174072266 text/xml text/plain application/zip southwesternwaters The dataset on the European Union's fisheries Advisory Councils was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated as soon as any changes are made in any of the Advisory Councils and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains polygons representing the geographical scope, jurisdiction and information for each of the Advisory Councils of the European sea basins. Each polygon has the following attributes (where available): Name, Members, Scope, Sea basin, Legal foundation date, Legal foundation document and a URL-link to the Advisory Council's website. features advisorycouncils EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 text/xml text/plain application/zip spirulina This dataset stems from the Joint Research Centre (JRC) Biomass Mandate (https://knowledge4policy.ec.europa.eu/projects-activities/jrc-biomass-mandate_en) and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities) and on the platform from the European Commission’s Knowledge Centre for Bioeconomy (https://knowledge4policy.ec.europa.eu/visualisation/bioeconomy-different-countries_en#algae_prod_plants). The dataset provides information on the location (geographic coordinates and country) of the production facilities and their related info as the group of produced organism (macroalgae, microalgae and spirulina), the step in the value chain (Producer, Processor, Technology provider, Consultancy, Research and Development, Trader/Exporter) the production method (Fermenters, Harvesting , Photobioreactors, Open ponds, Semi Open ponds, land-based or at sea Aquaculture, Integrated multi-trophic or not) and the species farmed (see dataset). The data have been collected for the following countries: Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Faroe Islands, France, Germany, Greece, Greenland, Hungary, Iceland, Ireland, Italy, Latvia, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland and the United Kingdom. The JRC, through a study commissioned for the Knowledge Centre for Bioeconomy in September 2022, has updated the database with the latest information and extended the scope to new socio-economic data, which are made available as a dataset collection (https://publications.jrc.ec.europa.eu/repository/handle/JRC129053) and an accompanying report (https://publications.jrc.ec.europa.eu/repository/handle/JRC130107). More detailed information on the Status of the Algae Producing Industry in Europe can be found in a scientific publication in Frontiers in Marine Science (https://publications.jrc.ec.europa.eu/repository/handle/JRC122250). All this work by the JRC aims at building a reliable database to characterize the algae sector and to support informed European policies on Blue Growth and Bioeconomy. features spirulinav2 EPSG:4326 CRS:84 -60.9176919999999 55.6557091 -20.9246726 58.388399 text/xml text/plain application/zip subareacatches The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated. features subareacatches EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip subareacatchesbycountry The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated subareacatchesbycountry features EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip subareacatchesbygroup The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated features subareacatchesbygroup EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip subareaeffort The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features subareaeffort EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip subareaeffortbycountry The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features subareaeffortbycountry EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip subareaeffortbyvesseltype The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features subareaeffortbyvesseltype EPSG:4326 CRS:84 -43.999999979999984 68.50000012999993 -6.097500000000025 89.99000000000012 text/xml text/plain application/zip subdivisioncatches The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated. features subdivisioncatches EPSG:4326 CRS:84 -43.99999998 30.2467 36.0 89.99 text/xml text/plain application/zip subdivisioncatchesbycountry The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated features subdivisioncatchesbycountry EPSG:4326 CRS:84 -43.999999979999984 30.24670000000009 9.000000000000057 89.99000000000012 text/xml text/plain application/zip subdivisioncatchesbygroup The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated features subdivisioncatchesbygroup EPSG:4326 CRS:84 -43.999999979999984 30.24670000000009 9.000000000000057 89.99000000000012 text/xml text/plain application/zip subdivisioneffort The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features subdivisioneffort EPSG:4326 CRS:84 -43.999999979999984 30.24670000000009 36.0 89.99000000000012 text/xml text/plain application/zip subdivisioneffortbycountry The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features subdivisioneffortbycountry EPSG:4326 CRS:84 -43.999999979999984 30.24670000000009 36.0 89.99000000000012 text/xml text/plain application/zip subdivisioneffortbyvesseltype The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features subdivisioneffortbyvesseltype EPSG:4326 CRS:84 -43.999999979999984 30.24670000000009 36.0 89.99000000000012 text/xml text/plain application/zip subunitcatches The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated. features subunitcatches EPSG:4326 CRS:84 -15.0 24.557600000000036 56.49905312999999 63.000000040000145 text/xml text/plain application/zip subunitcatchesbycountry The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated features subunitcatchesbycountry EPSG:4326 CRS:84 -15.0 24.557600000000036 56.49905312999999 63.000000040000145 text/xml text/plain application/zip subunitcatchesbygroup The dataset on fish catches in the European waters by FAO statistical areas was created in 2015 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of EUROSTAT's fish catches datasets fish_ca_atl 27, fish_ca_atl 34, fish_ca_atl 37, fish_ca_atl271, fish_ca_atl272, fish_ca_atl34_h and fish_ca_atl37_h. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). EUROSTAT data have been related to FAO's georeferenced fishing areas (polygons) for statisticl purposes (FAO, 2020. FAO Statistical Areas for Fishery Purposes. In: FAO Fisheries and Aquaculture Department). Tonnes live weight is provided for each fish species caught (3-alpha code and english or scientific name if the english one is not available), by EUMOFA's larger aggregations such as EUMOFA's Commodity Groups and Main Commercial Species (see 'Species_Eumofa_ASFIS_2023' table), by year of reference and country (code and name). The dataset is updated yearly and it covers a time series from 1950 to 2021, where available. Compared with the previous version this new one's schema have been updated features subunitcatchesbygroup EPSG:4326 CRS:84 -15.0 24.557600000000036 56.49905312999999 63.000000040000145 text/xml text/plain application/zip subuniteffort The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features subuniteffort EPSG:4326 CRS:84 -15.0 24.557600000000036 56.49905312999999 63.000000040000145 text/xml text/plain application/zip subuniteffortbycountry The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features subuniteffortbycountry EPSG:4326 CRS:84 -15.0 24.557600000000036 56.49905312999999 63.000000040000145 text/xml text/plain application/zip subuniteffortbyvesseltype The dataset on fishing effort in the EU waters was created in 2020 by Cogea for the European Marine Observation and Data Network (EMODnet). It is updated every year and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset is the result of the elaboration of the 'STECF 22-06 - EU Fleet Economic and Transversal data_fleet segment (Version 1.1)' of the Scientific, Technical and Economic Committee for Fisheries (STECF) of the EU Commission (JRC). Aggregated STECF data have been related to georeferenced FAO's fishing statistical areas (27, 34 and 37, at all levels) and to Geographical subareas (GSAs) of the FAO's General Fisheries Commission for the Mediterranean (GFCM). Where and when available, data on Days at sea, Fishing days, Gross Tonnage fishing days, kW fishing days are provided for each FAO fishing statistical area and GSA by year of reference, Country, fishing technology and vessel length classes. With this update the dataset covers now a time series from 2008 to 2021. features subuniteffortbyvesseltype EPSG:4326 CRS:84 -15.0 24.557600000000036 56.49905312999999 63.000000040000145 text/xml text/plain application/zip treatmentplants The dataset on coastal Urban Waste Water Treatment Plant (UWWTP) was created in 2019 by AZTI for the European Marine Observation and Data Network (EMODnet). It is based on the dataset "Waterbase-UWWTD" (Urban Waste Water Treatment Directive – reported data) provided by the European Topic Centre on Inland, Coastal and Marine waters, and made available at https://www.eea.europa.eu/en/datahub/datahubitem-view/6244937d-1c2c-47f5-bdf1-33ca01ff1715. The datset is available for viewing and download on EMODnet - Human Activities web portal (https://emodnet.ec.europa.eu/en/human-activities). Based on data selected from the reporting of Member States as part of the UWWTD implementation, the dataset presents the available information (location, capacity and actual load treated, type of treatment, aggregated data on the performance of plants) on individual UWWTP, and collecting systems without UWWTP, located in NUTS3 regions bordering transitional, coastal and marine waters. The geographic coverage is: Belgium, Bulgaria, Croatia, Cyprus, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Latvia, Lithuania, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slovenia, Spain, Sweden, United Kingdom. The description of all attribute fields of UWWTP is given in the Waterbase-UWWTD (https://www.eea.europa.eu/en/datahub/datahubitem-view/6244937d-1c2c-47f5-bdf1-33ca01ff1715). In this update, data provided by several countries during 2022 (Waterbase reported under UWWTD data call 2023 - PROVISIONAL PUBLIC VERSION, Dec. 2024) are included features treatmentplants EPSG:4326 CRS:84 -63.15242099999995 55.82319600000005 -21.380406999999934 70.67417000000006 text/xml text/plain application/zip ukfibrecables The dataset on subsea telecommunication cables in the European waters was created in 2014 by Cogea for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation of datasets provided by several EU and non-EU sources. It is updated every year, and is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contain lines representing actual cable routes locations. Compared with the previous version, this version includes an update of the German cables. features ukfibrecables EPSG:4326 CRS:84 -3.67189383506775 2.78424406051636 53.086296081543 61.5149345397949 text/xml text/plain application/zip unescowhl This dataset provides the location of coastal sites from the UNESCO World Heritage Convention list. It includes Unseco sites considered as coastal according to the definition of costal areas provided by the European Commission: coastal areas are local administrative units (LAUs) that are bordering or close to a coastline. A coastline is defined as the line where land and water surfaces meet (border each other). Coastal areas have at least 50% of their surface area within a distance of 10km from the coastline. The dataset includes the name of the sites, its code in the Unesco site database, the distance to coast, whether it is a cultural or natural site and a short description from the Unesco. It is available for viewing and download on the EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). features unescowhl EPSG:4326 CRS:84 -27.220001220703125 49.833335876464844 28.044387817382812 69.95000457763672 text/xml text/plain application/zip vesseldensity_00 The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_00 WCS ImageMosaic EPSG:3857 CRS:84 -87.70648392940127 97.6330266095935 14.961111053032177 86.80081200297836 2017-01-01T00:00:00.000Z,2017-02-01T00:00:00.000Z,2017-03-01T00:00:00.000Z,2017-04-01T00:00:00.000Z,2017-05-01T00:00:00.000Z,2017-06-01T00:00:00.000Z,2017-07-01T00:00:00.000Z,2017-08-01T00:00:00.000Z,2017-09-01T00:00:00.000Z,2017-10-01T00:00:00.000Z,2017-11-01T00:00:00.000Z,2017-12-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2018-02-01T00:00:00.000Z,2018-03-01T00:00:00.000Z,2018-04-01T00:00:00.000Z,2018-05-01T00:00:00.000Z,2018-06-01T00:00:00.000Z,2018-07-01T00:00:00.000Z,2018-08-01T00:00:00.000Z,2018-09-01T00:00:00.000Z,2018-10-01T00:00:00.000Z,2018-11-01T00:00:00.000Z,2018-12-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z text/xml application/zip vesseldensity_00avg The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_00avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2017-01-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z text/xml application/zip vesseldensity_01 The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_01 WCS ImageMosaic EPSG:3857 CRS:84 -87.70648392940127 97.6330266095935 14.961111053032177 86.80081200297836 2017-01-01T00:00:00.000Z,2017-02-01T00:00:00.000Z,2017-03-01T00:00:00.000Z,2017-04-01T00:00:00.000Z,2017-05-01T00:00:00.000Z,2017-06-01T00:00:00.000Z,2017-07-01T00:00:00.000Z,2017-08-01T00:00:00.000Z,2017-09-01T00:00:00.000Z,2017-10-01T00:00:00.000Z,2017-11-01T00:00:00.000Z,2017-12-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2018-02-01T00:00:00.000Z,2018-03-01T00:00:00.000Z,2018-04-01T00:00:00.000Z,2018-05-01T00:00:00.000Z,2018-06-01T00:00:00.000Z,2018-07-01T00:00:00.000Z,2018-08-01T00:00:00.000Z,2018-09-01T00:00:00.000Z,2018-10-01T00:00:00.000Z,2018-11-01T00:00:00.000Z,2018-12-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z text/xml application/zip vesseldensity_01avg The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_01avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2017-01-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z text/xml application/zip vesseldensity_02 The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_02 WCS ImageMosaic EPSG:3857 CRS:84 -87.70648392940127 97.6330266095935 14.961111053032177 86.80081200297836 2017-01-01T00:00:00.000Z,2017-02-01T00:00:00.000Z,2017-03-01T00:00:00.000Z,2017-04-01T00:00:00.000Z,2017-05-01T00:00:00.000Z,2017-06-01T00:00:00.000Z,2017-07-01T00:00:00.000Z,2017-08-01T00:00:00.000Z,2017-09-01T00:00:00.000Z,2017-10-01T00:00:00.000Z,2017-11-01T00:00:00.000Z,2017-12-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2018-02-01T00:00:00.000Z,2018-03-01T00:00:00.000Z,2018-04-01T00:00:00.000Z,2018-05-01T00:00:00.000Z,2018-06-01T00:00:00.000Z,2018-07-01T00:00:00.000Z,2018-08-01T00:00:00.000Z,2018-09-01T00:00:00.000Z,2018-10-01T00:00:00.000Z,2018-11-01T00:00:00.000Z,2018-12-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z text/xml application/zip vesseldensity_02avg The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_02avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2017-01-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z text/xml application/zip vesseldensity_03 The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_03 WCS ImageMosaic EPSG:3857 CRS:84 -87.70648392940127 97.6330266095935 14.961111053032177 86.80081200297836 2017-01-01T00:00:00.000Z,2017-02-01T00:00:00.000Z,2017-03-01T00:00:00.000Z,2017-04-01T00:00:00.000Z,2017-05-01T00:00:00.000Z,2017-06-01T00:00:00.000Z,2017-07-01T00:00:00.000Z,2017-08-01T00:00:00.000Z,2017-09-01T00:00:00.000Z,2017-10-01T00:00:00.000Z,2017-11-01T00:00:00.000Z,2017-12-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2018-02-01T00:00:00.000Z,2018-03-01T00:00:00.000Z,2018-04-01T00:00:00.000Z,2018-05-01T00:00:00.000Z,2018-06-01T00:00:00.000Z,2018-07-01T00:00:00.000Z,2018-08-01T00:00:00.000Z,2018-09-01T00:00:00.000Z,2018-10-01T00:00:00.000Z,2018-11-01T00:00:00.000Z,2018-12-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z text/xml application/zip vesseldensity_03avg The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_03avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2017-01-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z text/xml application/zip vesseldensity_04 The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_04 WCS ImageMosaic EPSG:3857 CRS:84 -87.70648392940127 97.6330266095935 14.961111053032177 86.80081200297836 2017-01-01T00:00:00.000Z,2017-02-01T00:00:00.000Z,2017-03-01T00:00:00.000Z,2017-04-01T00:00:00.000Z,2017-05-01T00:00:00.000Z,2017-06-01T00:00:00.000Z,2017-07-01T00:00:00.000Z,2017-08-01T00:00:00.000Z,2017-09-01T00:00:00.000Z,2017-10-01T00:00:00.000Z,2017-11-01T00:00:00.000Z,2017-12-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2018-02-01T00:00:00.000Z,2018-03-01T00:00:00.000Z,2018-04-01T00:00:00.000Z,2018-05-01T00:00:00.000Z,2018-06-01T00:00:00.000Z,2018-07-01T00:00:00.000Z,2018-08-01T00:00:00.000Z,2018-09-01T00:00:00.000Z,2018-10-01T00:00:00.000Z,2018-11-01T00:00:00.000Z,2018-12-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z text/xml application/zip vesseldensity_04avg The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_04avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2017-01-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z text/xml application/zip vesseldensity_05 The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_05 WCS ImageMosaic EPSG:3857 CRS:84 -87.70648392940127 97.6330266095935 14.961111053032177 86.80081200297836 2017-01-01T00:00:00.000Z,2017-02-01T00:00:00.000Z,2017-03-01T00:00:00.000Z,2017-04-01T00:00:00.000Z,2017-05-01T00:00:00.000Z,2017-06-01T00:00:00.000Z,2017-07-01T00:00:00.000Z,2017-08-01T00:00:00.000Z,2017-09-01T00:00:00.000Z,2017-10-01T00:00:00.000Z,2017-11-01T00:00:00.000Z,2017-12-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2018-02-01T00:00:00.000Z,2018-03-01T00:00:00.000Z,2018-04-01T00:00:00.000Z,2018-05-01T00:00:00.000Z,2018-06-01T00:00:00.000Z,2018-07-01T00:00:00.000Z,2018-08-01T00:00:00.000Z,2018-09-01T00:00:00.000Z,2018-10-01T00:00:00.000Z,2018-11-01T00:00:00.000Z,2018-12-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z text/xml application/zip vesseldensity_05avg The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_05avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2017-01-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z text/xml application/zip vesseldensity_06 The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_06 WCS ImageMosaic EPSG:3857 CRS:84 -87.70648392940127 97.6330266095935 14.961111053032177 86.80081200297836 2017-01-01T00:00:00.000Z,2017-02-01T00:00:00.000Z,2017-03-01T00:00:00.000Z,2017-04-01T00:00:00.000Z,2017-05-01T00:00:00.000Z,2017-06-01T00:00:00.000Z,2017-07-01T00:00:00.000Z,2017-08-01T00:00:00.000Z,2017-09-01T00:00:00.000Z,2017-10-01T00:00:00.000Z,2017-11-01T00:00:00.000Z,2017-12-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2018-02-01T00:00:00.000Z,2018-03-01T00:00:00.000Z,2018-04-01T00:00:00.000Z,2018-05-01T00:00:00.000Z,2018-06-01T00:00:00.000Z,2018-07-01T00:00:00.000Z,2018-08-01T00:00:00.000Z,2018-09-01T00:00:00.000Z,2018-10-01T00:00:00.000Z,2018-11-01T00:00:00.000Z,2018-12-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z text/xml application/zip vesseldensity_06avg The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_06avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2017-01-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z text/xml application/zip vesseldensity_07 The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_07 WCS ImageMosaic EPSG:3857 CRS:84 -87.70648392940127 97.6330266095935 14.961111053032177 86.80081200297836 2017-01-01T00:00:00.000Z,2017-02-01T00:00:00.000Z,2017-03-01T00:00:00.000Z,2017-04-01T00:00:00.000Z,2017-05-01T00:00:00.000Z,2017-06-01T00:00:00.000Z,2017-07-01T00:00:00.000Z,2017-08-01T00:00:00.000Z,2017-09-01T00:00:00.000Z,2017-10-01T00:00:00.000Z,2017-11-01T00:00:00.000Z,2017-12-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2018-02-01T00:00:00.000Z,2018-03-01T00:00:00.000Z,2018-04-01T00:00:00.000Z,2018-05-01T00:00:00.000Z,2018-06-01T00:00:00.000Z,2018-07-01T00:00:00.000Z,2018-08-01T00:00:00.000Z,2018-09-01T00:00:00.000Z,2018-10-01T00:00:00.000Z,2018-11-01T00:00:00.000Z,2018-12-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z text/xml application/zip vesseldensity_07avg The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_07avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2017-01-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z text/xml application/zip vesseldensity_08 The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_08 WCS ImageMosaic EPSG:3857 CRS:84 -87.70648392940127 97.6330266095935 14.961111053032177 86.80081200297836 2017-01-01T00:00:00.000Z,2017-02-01T00:00:00.000Z,2017-03-01T00:00:00.000Z,2017-04-01T00:00:00.000Z,2017-05-01T00:00:00.000Z,2017-06-01T00:00:00.000Z,2017-07-01T00:00:00.000Z,2017-08-01T00:00:00.000Z,2017-09-01T00:00:00.000Z,2017-10-01T00:00:00.000Z,2017-11-01T00:00:00.000Z,2017-12-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2018-02-01T00:00:00.000Z,2018-03-01T00:00:00.000Z,2018-04-01T00:00:00.000Z,2018-05-01T00:00:00.000Z,2018-06-01T00:00:00.000Z,2018-07-01T00:00:00.000Z,2018-08-01T00:00:00.000Z,2018-09-01T00:00:00.000Z,2018-10-01T00:00:00.000Z,2018-11-01T00:00:00.000Z,2018-12-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z text/xml application/zip vesseldensity_08avg The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_08avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2017-01-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z text/xml application/zip vesseldensity_09 The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_09 WCS ImageMosaic EPSG:3857 CRS:84 -87.70648392940127 97.6330266095935 14.961111053032177 86.80081200297836 2017-01-01T00:00:00.000Z,2017-02-01T00:00:00.000Z,2017-03-01T00:00:00.000Z,2017-04-01T00:00:00.000Z,2017-05-01T00:00:00.000Z,2017-06-01T00:00:00.000Z,2017-07-01T00:00:00.000Z,2017-08-01T00:00:00.000Z,2017-09-01T00:00:00.000Z,2017-10-01T00:00:00.000Z,2017-11-01T00:00:00.000Z,2017-12-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2018-02-01T00:00:00.000Z,2018-03-01T00:00:00.000Z,2018-04-01T00:00:00.000Z,2018-05-01T00:00:00.000Z,2018-06-01T00:00:00.000Z,2018-07-01T00:00:00.000Z,2018-08-01T00:00:00.000Z,2018-09-01T00:00:00.000Z,2018-10-01T00:00:00.000Z,2018-11-01T00:00:00.000Z,2018-12-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z text/xml application/zip vesseldensity_09avg The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_09avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2017-01-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z text/xml application/zip vesseldensity_10 The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_10 WCS ImageMosaic EPSG:3857 CRS:84 -87.70648392940127 97.6330266095935 14.961111053032177 86.80081200297836 2017-01-01T00:00:00.000Z,2017-02-01T00:00:00.000Z,2017-03-01T00:00:00.000Z,2017-04-01T00:00:00.000Z,2017-05-01T00:00:00.000Z,2017-06-01T00:00:00.000Z,2017-07-01T00:00:00.000Z,2017-08-01T00:00:00.000Z,2017-09-01T00:00:00.000Z,2017-10-01T00:00:00.000Z,2017-11-01T00:00:00.000Z,2017-12-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2018-02-01T00:00:00.000Z,2018-03-01T00:00:00.000Z,2018-04-01T00:00:00.000Z,2018-05-01T00:00:00.000Z,2018-06-01T00:00:00.000Z,2018-07-01T00:00:00.000Z,2018-08-01T00:00:00.000Z,2018-09-01T00:00:00.000Z,2018-10-01T00:00:00.000Z,2018-11-01T00:00:00.000Z,2018-12-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z text/xml application/zip vesseldensity_10avg The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_10avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2017-01-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z text/xml application/zip vesseldensity_11 The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_11 WCS ImageMosaic EPSG:3857 CRS:84 -87.70648392940127 97.6330266095935 14.961111053032177 86.80081200297836 2017-01-01T00:00:00.000Z,2017-02-01T00:00:00.000Z,2017-03-01T00:00:00.000Z,2017-04-01T00:00:00.000Z,2017-05-01T00:00:00.000Z,2017-06-01T00:00:00.000Z,2017-07-01T00:00:00.000Z,2017-08-01T00:00:00.000Z,2017-09-01T00:00:00.000Z,2017-10-01T00:00:00.000Z,2017-11-01T00:00:00.000Z,2017-12-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2018-02-01T00:00:00.000Z,2018-03-01T00:00:00.000Z,2018-04-01T00:00:00.000Z,2018-05-01T00:00:00.000Z,2018-06-01T00:00:00.000Z,2018-07-01T00:00:00.000Z,2018-08-01T00:00:00.000Z,2018-09-01T00:00:00.000Z,2018-10-01T00:00:00.000Z,2018-11-01T00:00:00.000Z,2018-12-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z text/xml application/zip vesseldensity_11avg The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_11avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2017-01-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z text/xml application/zip vesseldensity_12 The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_12 WCS ImageMosaic EPSG:3857 CRS:84 -87.70648392940127 97.6330266095935 14.961111053032177 86.80081200297836 2017-01-01T00:00:00.000Z,2017-02-01T00:00:00.000Z,2017-03-01T00:00:00.000Z,2017-04-01T00:00:00.000Z,2017-05-01T00:00:00.000Z,2017-06-01T00:00:00.000Z,2017-07-01T00:00:00.000Z,2017-08-01T00:00:00.000Z,2017-09-01T00:00:00.000Z,2017-10-01T00:00:00.000Z,2017-11-01T00:00:00.000Z,2017-12-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2018-02-01T00:00:00.000Z,2018-03-01T00:00:00.000Z,2018-04-01T00:00:00.000Z,2018-05-01T00:00:00.000Z,2018-06-01T00:00:00.000Z,2018-07-01T00:00:00.000Z,2018-08-01T00:00:00.000Z,2018-09-01T00:00:00.000Z,2018-10-01T00:00:00.000Z,2018-11-01T00:00:00.000Z,2018-12-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z text/xml application/zip vesseldensity_12avg The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_12avg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2017-01-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z text/xml application/zip vesseldensity_all The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_all WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2017-01-01T00:00:00.000Z,2017-02-01T00:00:00.000Z,2017-03-01T00:00:00.000Z,2017-04-01T00:00:00.000Z,2017-05-01T00:00:00.000Z,2017-06-01T00:00:00.000Z,2017-07-01T00:00:00.000Z,2017-08-01T00:00:00.000Z,2017-09-01T00:00:00.000Z,2017-10-01T00:00:00.000Z,2017-11-01T00:00:00.000Z,2017-12-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2018-02-01T00:00:00.000Z,2018-03-01T00:00:00.000Z,2018-04-01T00:00:00.000Z,2018-05-01T00:00:00.000Z,2018-06-01T00:00:00.000Z,2018-07-01T00:00:00.000Z,2018-08-01T00:00:00.000Z,2018-09-01T00:00:00.000Z,2018-10-01T00:00:00.000Z,2018-11-01T00:00:00.000Z,2018-12-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2019-02-01T00:00:00.000Z,2019-03-01T00:00:00.000Z,2019-04-01T00:00:00.000Z,2019-05-01T00:00:00.000Z,2019-06-01T00:00:00.000Z,2019-07-01T00:00:00.000Z,2019-08-01T00:00:00.000Z,2019-09-01T00:00:00.000Z,2019-10-01T00:00:00.000Z,2019-11-01T00:00:00.000Z,2019-12-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2020-02-01T00:00:00.000Z,2020-03-01T00:00:00.000Z,2020-04-01T00:00:00.000Z,2020-05-01T00:00:00.000Z,2020-06-01T00:00:00.000Z,2020-07-01T00:00:00.000Z,2020-08-01T00:00:00.000Z,2020-09-01T00:00:00.000Z,2020-10-01T00:00:00.000Z,2020-11-01T00:00:00.000Z,2020-12-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2021-02-01T00:00:00.000Z,2021-03-01T00:00:00.000Z,2021-04-01T00:00:00.000Z,2021-05-01T00:00:00.000Z,2021-06-01T00:00:00.000Z,2021-07-01T00:00:00.000Z,2021-08-01T00:00:00.000Z,2021-09-01T00:00:00.000Z,2021-10-01T00:00:00.000Z,2021-11-01T00:00:00.000Z,2021-12-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2022-02-01T00:00:00.000Z,2022-03-01T00:00:00.000Z,2022-04-01T00:00:00.000Z,2022-05-01T00:00:00.000Z,2022-06-01T00:00:00.000Z,2022-07-01T00:00:00.000Z,2022-08-01T00:00:00.000Z,2022-09-01T00:00:00.000Z,2022-10-01T00:00:00.000Z,2022-11-01T00:00:00.000Z,2022-12-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2023-02-01T00:00:00.000Z,2023-03-01T00:00:00.000Z,2023-04-01T00:00:00.000Z,2023-05-01T00:00:00.000Z,2023-06-01T00:00:00.000Z,2023-07-01T00:00:00.000Z,2023-08-01T00:00:00.000Z,2023-09-01T00:00:00.000Z,2023-10-01T00:00:00.000Z,2023-11-01T00:00:00.000Z,2023-12-01T00:00:00.000Z,2024-01-01T00:00:00.000Z,2024-02-01T00:00:00.000Z,2024-03-01T00:00:00.000Z,2024-04-01T00:00:00.000Z,2024-05-01T00:00:00.000Z,2024-06-01T00:00:00.000Z,2024-07-01T00:00:00.000Z,2024-08-01T00:00:00.000Z,2024-09-01T00:00:00.000Z,2024-10-01T00:00:00.000Z,2024-11-01T00:00:00.000Z,2024-12-01T00:00:00.000Z text/xml application/zip vesseldensity_allavg The Vessel Density maps in the EU are created since the 2019 by Cogea for the European Marine Observation and Data Network (EMODnet). The dataset is updated every year and is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The maps are based on AIS data yearly purchased from Collecte Localisation Satellites (CLS), ORBCOMM and vesseltracker.com. The maps, GeoTIFF format, show shipping density in 1x1km cells of a grid covering all EU waters and some neighbouring areas. Density is expressed as hours per square kilometre per month. The following ship types are available:0 Other, 1 Fishing, 2 Service, 3 Dredging or underwater ops, 4 Sailing, 5 Pleasure Craft, 6 High speed craft, 7 Tug and towing, 8 Passenger, 9 Cargo, 10 Tanker, 11 Military and Law Enforcement, 12 Unknown and All ship types. Data are available by month of year and yearly averages are also available; to date, the data cover the period 2017–2024. For the 2024 the AIS data provider experienced a loss of satellite data starting from the month of June and despite the fact that the provider tried to mitigate this important decrease of data, the average amount of data for 2024 is not dense as the previous years. vesseldensity_allavg WCS ImageMosaic EPSG:3857 CRS:84 -87.7064839294012 97.63302660959336 14.961111053032125 86.80081200297836 2017-01-01T00:00:00.000Z,2018-01-01T00:00:00.000Z,2019-01-01T00:00:00.000Z,2020-01-01T00:00:00.000Z,2021-01-01T00:00:00.000Z,2022-01-01T00:00:00.000Z,2023-01-01T00:00:00.000Z,2024-01-01T00:00:00.000Z text/xml application/zip wasteatports The geodatabase on Main Ports - Waste at ports was created in 2018 by CETMAR using the Ports 2013 data available in Eurostat web page (http://ec.europa.eu/eurostat/web/main/home). It is the result of the aggregation and harmonization of datasets provided by several sources from all across the EU and is available for viewing and download on EMODnet - Human Activities web portal (https://emodnet.ec.europa.eu/en/human-activities). Following the MARPOL Convention waste at ports have been reported by Ports indistincly in cubic meters(m3)and/or in tonnes and classified as oily waste (Annex I), garbage (Annex V), sewage (Annex IV), Harbor Waste (garbage) and Total Amount*. These datasets are updated on an annual basis and includes annual data from 2000 to 2018 (where available) in the following countries: Estonia, Finland, France, Latvia, Portugal, Italy, Greece, Romania, Sweden, Croatia, Malta, Netherlands and Spain.*Total Amounts only report the sum of available values for each of the given units (m3 or tonnes). features wasteatports EPSG:4326 CRS:84 -16.716497187695 28.8140869140799 28.0506971722368 65.6585083008175 text/xml text/plain application/zip wdpaareas The dataset on coastal and marine protected areas in the European seas for those countries or territories that are not covered by the the EEA's Common Database on Designated Areas (CDDA) was created in 2022 by Cogea for the European Marine Observation and Data Network (EMODnet). It includes polygons and points and it is entirely based on GIS vector data from UNEP-WCMC and IUCN 2023, (Protected Planet: The World Database on Protected Areas, WDPA, [Online], November 2024, Cambridge, UK: UNEP-WCMC and IUCN, available at: www.protectedplanet.net), plus additional info and selected tabular data added as feature attributes, as well as the calculation of marine and coastal location of features. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The WDPA is the most comprehensive global database of marine and terrestrial protected areas, it is a joint project between UN Environment Programme (UNEP) and the International Union for Conservation of Nature (IUCN), and it is managed by the UNEP World Conservation Monitoring Centre (UNEP-WCMC), in collaboration with governments, non-governmental organisations, academia and industry. In the webmap the dataset has been filtered in order to show only marine and coastal areas. Geographical coverage: Algeria, Antigua and Barbuda, Barbados, Belize, Colombia, Costa Rica, Cuba, Denmark (only the Faroe Islands), Dominica, Dominican Republic, Egypt, France (only Guadeloupe, Martinique, Saint Barthélemy, Saint Martin French part), Georgia, Grenada, Guatemala, Haiti, Honduras, Israel, Jamaica, Lebanon, Mexico, Monaco, Morocco, Netherlands (only Aruba, Bonaire, Sint Eustatius and Saba, Curaçao, Sint Maarten Dutch part) Nicaragua, Norway (only Svalbard and Jan Mayen), Palestine, Panama, Russian Federation, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Trinidad and Tobago, Tunisia, Turkey, Ukraine, United Kingdom (including Anguilla, British Virgin Islands, Cayman Islands, Guernsey, Isle of Man, Jersey, Montserrat), United States (only Puerto Rico, the US Virgin Islands and the US Minor Outlying Islands in the Caribbean Sea), Venezuela. Where available each polygon/point has the following main attributes: country code, territory code, country name, territory name, WDPA ID, name (english and original), designation name (english and original) and type (International, National, Not Applicable, Regional), IUCN category and description (Ia: Strict Nature Reserve; Ib: Wilderness Area; II: National Park; III: Natural Monument or Feature; IV: Habitat/Species Management Area; V: Protected Landscape/ Seascape; VI: Protected area with sustainable use of natural resources; Not applicable; Not assigned; Not reported), marine location (1: predominantly marine; 2: entirely marine), area sqkm (reported, calculated), marine area sqkm (reported, calculated), status (Adopted, Designated, Established, Inscribed, Not Reported, Proposed), government type (Collaborative governance, Federal or national ministry or agency, For-profit organisations, Government-delegated management, Indigenous peoples, Individual landowners, Joint governance, Local communities, Non-profit organisations, Not Reported, Sub-national ministry or agency), ownership type (Communal, For-profit organisations, Individual landowners, Joint ownership, Multiple ownership, Non-profit organisations, Not Reported, State), management authorithy and plan info, marine/coastal location (1). For further information please visit the Protected Planet website. Compared with the previous release, this one includes the updated dataset 'WDPA_Nov2024_Public' published by the WDPA in November 2024. features wdpaareas EPSG:4326 CRS:84 -19.556676864624 42.3914985656738 28.9007339477539 70.1450576782227 text/xml text/plain application/zip wdpalocations The dataset on coastal and marine protected areas in the European seas for those countries or territories that are not covered by the the EEA's Common Database on Designated Areas (CDDA) was created in 2022 by Cogea for the European Marine Observation and Data Network (EMODnet). It includes polygons and points and it is entirely based on GIS vector data from UNEP-WCMC and IUCN 2023, (Protected Planet: The World Database on Protected Areas, WDPA, [Online], November 2024, Cambridge, UK: UNEP-WCMC and IUCN, available at: www.protectedplanet.net), plus additional info and selected tabular data added as feature attributes, as well as the calculation of marine and coastal location of features. It is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The WDPA is the most comprehensive global database of marine and terrestrial protected areas, it is a joint project between UN Environment Programme (UNEP) and the International Union for Conservation of Nature (IUCN), and it is managed by the UNEP World Conservation Monitoring Centre (UNEP-WCMC), in collaboration with governments, non-governmental organisations, academia and industry. In the webmap the dataset has been filtered in order to show only marine and coastal areas. Geographical coverage: Algeria, Antigua and Barbuda, Barbados, Belize, Colombia, Costa Rica, Cuba, Denmark (only the Faroe Islands), Dominica, Dominican Republic, Egypt, France (only Guadeloupe, Martinique, Saint Barthélemy, Saint Martin French part), Georgia, Grenada, Guatemala, Haiti, Honduras, Israel, Jamaica, Lebanon, Mexico, Monaco, Morocco, Netherlands (only Aruba, Bonaire, Sint Eustatius and Saba, Curaçao, Sint Maarten Dutch part) Nicaragua, Norway (only Svalbard and Jan Mayen), Palestine, Panama, Russian Federation, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Trinidad and Tobago, Tunisia, Turkey, Ukraine, United Kingdom (including Anguilla, British Virgin Islands, Cayman Islands, Guernsey, Isle of Man, Jersey, Montserrat), United States (only Puerto Rico, the US Virgin Islands and the US Minor Outlying Islands in the Caribbean Sea), Venezuela. Where available each polygon/point has the following main attributes: country code, territory code, country name, territory name, WDPA ID, name (english and original), designation name (english and original) and type (International, National, Not Applicable, Regional), IUCN category and description (Ia: Strict Nature Reserve; Ib: Wilderness Area; II: National Park; III: Natural Monument or Feature; IV: Habitat/Species Management Area; V: Protected Landscape/ Seascape; VI: Protected area with sustainable use of natural resources; Not applicable; Not assigned; Not reported), marine location (1: predominantly marine; 2: entirely marine), area sqkm (reported, calculated), marine area sqkm (reported, calculated), status (Adopted, Designated, Established, Inscribed, Not Reported, Proposed), government type (Collaborative governance, Federal or national ministry or agency, For-profit organisations, Government-delegated management, Indigenous peoples, Individual landowners, Joint governance, Local communities, Non-profit organisations, Not Reported, Sub-national ministry or agency), ownership type (Communal, For-profit organisations, Individual landowners, Joint ownership, Multiple ownership, Non-profit organisations, Not Reported, State), management authorithy and plan info, marine/coastal location (1). For further information please visit the Protected Planet website. Compared with the previous release, this one includes the updated dataset 'WDPA_Nov2024_Public' published by the WDPA in November 2024. features wdpalocations EPSG:4326 CRS:84 -86.8661117553711 38.13333511352539 11.166666030883789 76.5666732788086 text/xml text/plain application/zip windfarms The dataset on offshore wind farms in the European seas was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated every year and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains points and/or (where available) polygons representing offshore wind farms in the following countries: Belgium, Denmark, Estonia, Finland, France, Germany, Greece, Ireland, Italy, Latvia, Lithuania, Netherlands, Norway, Poland, Portugal, Spain, Sweden and United Kingdom. Each point and polygon has the following attributes (where available): Name, Nº of turbines, Status (Approved, Planned, Dismantled, Construction, Production, Test site), Type of installation (Floating, Grounded), Country, Update year, Start year, Power (MW), Distance to coast (metres) and Area (square kilometres). The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in. features windfarms EPSG:4326 CRS:84 -18.080001831054688 29.750001907348633 27.649999618530273 65.66800689697266 text/xml text/plain application/zip windfarmspoly The dataset on offshore wind farms in the European seas was created in 2014 by CETMAR for the European Marine Observation and Data Network (EMODnet). It is the result of the aggregation and harmonization of datasets provided by several sources. It is updated every year and it is available for viewing and download on EMODnet web portal (Human Activities, https://emodnet.ec.europa.eu/en/human-activities). The dataset contains points and/or (where available) polygons representing offshore wind farms in the following countries: Belgium, Denmark, Estonia, Finland, France, Germany, Greece, Ireland, Italy, Latvia, Lithuania, Netherlands, Norway, Poland, Portugal, Spain, Sweden and United Kingdom. Each point and polygon has the following attributes (where available): Name, Nº of turbines, Status (Approved, Planned, Dismantled, Construction, Production, Test site), Type of installation (Floating, Grounded), Country, Update year, Start year, Power (MW), Distance to coast (metres) and Area (square kilometres). The distance to coast (EEA coastline shapefile) has been calculated using the UTM WGS84 Zone projected coordinate system where data fall in. features windfarmspoly EPSG:4326 CRS:84 -16.589679718017578 24.7377872467041 27.73302459716797 65.47056579589844 text/xml text/plain application/zip wwshipwrecks The dataset is a subset of the UK Hydrographic Office wrecks and obstructions data set. It contains over 67,000 charted, uncharted, live and dead wrecks from around the world. Where available each point has the following attributes: Wreck Id, Wreck category, Status, Position, Latitude, Longitude, Horizontal datum, Position method, Depth, Depth method, Depth quality, Depth accuracy, Water depth, Water level, Vertical datum, Name, Type, Flag, Length, Width, Draught, Sonar length, Sonar width, Shadow height, Orientation, Tonnage, Tonnage type, Cargo, Conspic visual, Conspic radar, Date sunk, Bottom texture, Scour dimensions, Debris field, Original sensor, Last sensor, Original detection, Last detection, Origin, Markers, Circumstances of loss, Surveying details, General comments, Last amended. The original dataset is updated on a quarterly basis and is made available free of charge under an Open Government Licence, which can be accessed here: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. features wwshipwrecks EPSG:4326 CRS:84 -134.76483154296875 171.23150634765625 -39.602970123291016 78.82991027832031 text/xml text/plain application/zip