Flanders Marine Institute (VLIZ) - WFS ServiceThis is the reference implementation of OGC WFS 1.0.0 and WFS 1.1.0, supports all WFS operations including Transaction.WFSWMSGEOSERVERWFS2.0.0NONEPlease contact VLIZ if you want to use a layerVLIZFlanders Marine InstituteOstendBelgiuminfo@marineregions.org1.0.01.1.02.0.0text/xmlServiceIdentificationServiceProviderOperationsMetadataFeatureTypeListFilter_Capabilitiesapplication/gml+xml; version=3.2resultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvgml3gml32jsontext/csvtext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalFALSE1000000nonelocalapplication/gml+xml; version=3.2urn:ogc:def:queryLanguage:OGC-WFS::WFSQueryExpressionALLSOMEresultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvgml3gml32jsontext/csvtext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalapplication/gml+xml; version=3.2ALLSOMETRUETRUETRUETRUETRUETRUEFALSEFALSETRUETRUETRUETRUEFALSETRUEFALSEwfs:Querywfs:StoredQueryVisgronden:visgrondenThe project 'A century of sea fisheries' brings together data and information from different, fragmented sources into an integrated database. The historical Belgian fishing grounds are included in Marine Regions.historyhistoricfishing. areafisheryfisheriesseaBelgiumecologyshiftingbaselinesculturalheritageLand useurn:ogc:def:crs:EPSG::4326-64.255 26.00968.268 82.854Morocco:elevation_10melevation_10mfeaturesurn:ogc:def:crs:EPSG::4326-3.94964003562927 35.1784210205078-3.72030353546143 35.2854080200195Belgium:be_12nm_2015Parallel line to the baseline at 12 nautical miles seaward. Source: Vlaamse HydrografieVlaamse Hydrografiebasislijn12 nautische mijl3 nautische mijl24 nautische mijladministratieve eenhedengrenzenboundariesBelgische Territoriale ZeeAansluitende ZoneBelgisch Continentaal Plat (BCP)Belgische Exclusieve Economische Zone (EEZ)VisserijzonesAdministrative unitsurn:ogc:def:crs:EPSG::43262.3883367 51.2695153.0797796 51.551031Belgium:be_24nm_2015Parallel line to the baseline at 24 nautical miles seaward. Source: Vlaamse HydrografieVlaamse Hydrografiebasislijn12 nautische mijl3 nautische mijl24 nautische mijladministratieve eenhedengrenzenboundariesBelgische Territoriale ZeeAansluitende ZoneBelgisch Continentaal Plat (BCP)Belgische Exclusieve Economische Zone (EEZ)VisserijzonesAdministrative unitsurn:ogc:def:crs:EPSG::43262.2842152 51.46728952.8357518 51.6970942Belgium:be_3nm_2015Parallel line to the baseline at 3 nautical miles seaward. Source: Vlaamse HydrografieVlaamse Hydrografiebasislijn12 nautische mijl3 nautische mijl24 nautische mijladministratieve eenhedengrenzenboundariesBelgische Territoriale ZeeAansluitende ZoneBelgisch Continentaal Plat (BCP)Belgische Exclusieve Economische Zone (EEZ)VisserijzonesAdministrative unitsurn:ogc:def:crs:EPSG::43262.503031 51.13772793.3222205 51.4158869Emodnet:emodnet1x1gridA 1x1 degree grid was created for the spatial extent of the European Register of Marine Species (ERMS). The marine area within the scope of the ERMS includes the continental shelf seas of Europe as well as the Mediterranean shelf, Baltic Seas and deep-sea areas (26°N -> 90°N and 45°W -> 70°E).ERMSspeciesgrid1 degreelatitudelongitudewgs844326europeanwatersseascontinental shelfGeographical grid systemsurn:ogc:def:crs:EPSG::4326-45.0 26.071.0 90.0Emodnet:gridA 3x3 degree grid was created for the spatial extent of the European Register of Marine Species (ERMS). The marine area within the scope of the ERMS includes the continental shelf seas of Europe as well as the Mediterranean shelf, Baltic Seas and deep-sea areas (26°N -> 90°N and 45°W -> 70°E).ERMSspeciesgrid3 degreeslatitudelongitudewgs844326europeanwatersseascontinental shelfGeographical grid systemsurn:ogc:def:crs:EPSG::4326-45.0 24.072.0 90.0Morocco:damDam; Al Hoceima CASE - PEGASOprojectdamfeaturesurn:ogc:def:crs:EPSG::4326-4.33031606674194 34.930549621582-3.79260754585266 35.1045303344727WoRMS:azmp_sectionsFisheries and Oceans Canada. (2014). Atlantic Zone Monitoring Program Website. Retrieved 4 December 2014 from Fisheries and Oceans Canada.featuresazmp_sectionsurn:ogc:def:crs:EPSG::4326-68.75 41.333-42.0 55.067Morocco:accomodationcapacityAccommodation capacity 2000-2012 Al HoceimafeaturesaccomodationcapacityAccomodationCapacityAubergesHotelsResidences TouristiquesVillages de Vacances TouristiquesMaisons d'HotesMotelsPensionsAl HoceimaMoroccoPEGASOurn:ogc:def:crs:EPSG::4326-3.96931791305542 35.213264465332-3.91575646400452 35.265209197998Morocco:admin_boundaryAdministrative boundaries Al Hoceima, Trougout, Izemouren, Youssed Ou Ali, BNI Bouyach, Imzourenfeaturesadmin_boundaryurn:ogc:def:crs:EPSG::4326-4.07542371749878 35.0778160095215-3.70940661430359 35.2688293457031Scheldemonitor:afstanden_vlissingenafstandenkmVlissingenurn:ogc:def:crs:EPSG::313003.408 50.775.259 51.457Lifewatch:ovam_afvalverwerkingBron: OVAMovam_afvalverwerkingfeaturesurn:ogc:def:crs:EPSG::43262.56785678863525 50.70706558227545.82542896270752 51.4845428466797Kustportaal:leeftijdsverdeling_15The age distribution of the population in the coastal and hinterland municipalities from 2010 onwards. Source: rijksregister, processed by of the province of West Flanders.Population distribution and demographyurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043Morocco:roadsRoads Al Hoceima CASE - PEGASOprojectfeaturesroadsurn:ogc:def:crs:EPSG::4326-4.08239984512329 35.0371246337891-3.70786762237549 35.2878532409668Morocco:urbain_roadsUrbain Roads; Al Hoceima CASE - PEGASOprojecturbain_roadsfeaturesPEGASOAl HoceimaMoroccoUrbanRoadsurn:ogc:def:crs:EPSG::4326-3.96810913085938 35.2156867980957-3.91648602485657 35.2571907043457NorthSea:tidalredstrlampitudegetijhydrografiebelgisch continentaal platBCSurn:ogc:def:crs:EPSG::43262.1761999130249 51.04269790649413.5058000087738 51.6479034423828Emodnet:zooplankton_erasedDataproduct Annual anomalies of total copepod abundance per CPR Standard area from the SAHFOS CPR Survey data for 1948-2005.EmodnetZooplanktonSahfosCPRNorth Atlantic OceanNorth SeaCopepodsurn:ogc:def:crs:EPSG::4326-71.0 40.011.0 66.0Emodnet:sahfos_diatomsDataproduct from the Continuous Plankton Recorder (CPR) on the annual means of the abundance of Diatomsfrom 1958-2006. The data has been averaged per CPR standard region and includes areas of the North Atlantic Ocean and Greater North Sea.jaargemiddeldendiatomëendiatomsannual meansphytoplanktonatlanticnorth seaatlantische oceaannoordzeesahfosurn:ogc:def:crs:EPSG::4326-71.0 40.011.0 66.0Emodnet:sahfos_dinoflagellatesDataproduct from the Continuous Plankton Recorder (CPR) on the annual means of the Dinoflagellate abundance from 1958-2006. The data has been averaged per CPR standard region and includes areas of the North Atlantic Ocean and Greater North Sea.jaargemiddeldendinoflagellatesdinoflagellatenabundanceabundantiefytoplanktonannual meansphytoplanktonatlanticnorth seaatlantische oceaannoordzeesahfosurn:ogc:def:crs:EPSG::4326-71.0 40.011.0 66.0Emodnet:sahfos_colourDataproduct created using the annual means of the Phytoplankton Colour Index from 1958-2006 measured with the Continuous Plankton Recorder. A mean value has been calculated per CPR standard regions. Analysis was performed on the North Atlantic Ocean and the Greater North Sea.North Atlantic OceanGreater North SeaphytoplanktonCPRcontinuous plankton recorderregionsSpecies distributionurn:ogc:def:crs:EPSG::4326-71.0 40.011.0 66.0Antarctica:acbr_v2_2016Citation: Terauds, A. (2016, updated 2017) An update of the Antarctic Conservation Biogeographic Regions (ACBRs) Australian Antarctic Data Centre - doi:10.4225/15/5729930925224featuresacbr_v2_2016urn:ogc:def:crs:EPSG::3031-180.0 -90.0180.0 -57.9999066959535Antarctica:antarctica_claimsThis GIS layer contains polygons with claimed areas by different nations. Based on information from: http://gcmd.nasa.gov/KeywordSearch/Metadata.do?Portal=amd&KeywordPath=Parameters%7CHUMAN+DIMENSIONS%7CENVIRONMENTAL+GOVERNANCE%2FMANAGEMENT&EntryId=%5BAADC%5Dgis108&MetadataView=Full&MetadataType=0&lbnode=mdlb1, adapted by VLIZPolygonsAdministratieve eenhedenadministrative unitsclaimsterritorial claimsurn:ogc:def:crs:EPSG::4326-180.0 -83.7993698120117146.311157226562 -60.5133399963379MarineRegions:eez_archipelagic_watersVersion 4 of the Archipelagic Waters from the VLIZ Maritime Boundaries Geodatabase. Archipelagic Waters are waters falling within archipelagic baselines.territorial seascontiguous zonemarine regionsWorld Oceansmarineexclusive economic zoneslaw of the seaterritorial watersworld oceansarchipelagic watersinternal watersboundariesAdministrative unitsurn:ogc:def:crs:EPSG::4326-180.0 -21.0283333333334180.0 27.2729837166668MarineRegions:arcticmarineareasThere are many ways to divide the Arctic marine region—by ecosystem/ecological characteristics, by administrative criteria, or by some combination of the two. However, effective monitoring of biodiversity requires that an ecosystem-based approach be used for choosing areas. http://geo.abds.is/geonetwork/srv/eng/catalog.search#/metadata/dcd5c12f-3acb-4101-8e1a-bba0aec50582featuresarcticmarineareasurn:ogc:def:crs:EPSG::4326-180.0 51.3845118691187180.0 90.0Belgium:belgium_arrondissementsThis dataset contains all the boundaries of all the Belgian arrondissements. It also contains the INS code and the French and Dutch name of each arrondissement. Source: ESRI BeluxBelgiumBelgiqueBelgiëWalloniaWallonieWalloniëWalloon RegionRégion wallonneWaals GewestwalloonwallonnewaalsFlandersFlandreVlaanderenFlemish RegionRégion flamandeVlaams GewestFlemishFlamandeVlaamsBrusselsBruxellesBrusselbelgianbelgischbelgeLimitLimiteGrenslimitslimitesgrenzenDivisionIndelingEsriEsriBeluxBeluxEsri BeluxSHParrondissementarrondissementsarrondissementenpeopleAdministrative unitsurn:ogc:def:crs:EPSG::38572.545705508357612 49.496882711889496.4081000767846445 51.505112914084314Kustportaal:huishgrootte_16Average size of households in the coastal and hinterland municipalities on January 1 of each year. Source: rijksregister, processed by the province of West FlandersPopulation distribution and demographyurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043Scheldemonitor:tijdsverschilhwThe average time differences of high tide compared to Antwerp were digitized based on maps of the Tidal Book 2009. For the map these periods were converted to a time difference compared to Vlissingen.getijtijdsverschil2009AntwerpenVlissingengeorefererenvectoriserenTidetime difference2009AntwerpVlissingenGeoreferencingVectoringHydrographyurn:ogc:def:crs:EPSG::313003.637 50.974.585 51.46Scheldemonitor:tijdsverschillwThe average time differences of low tide compared to Antwerp were digitized based on maps of the Tidal Book 2009. For the map these periods were converted to a time difference compared to Vlissingen.getijtijdsverschil2009AntwerpenVlissingengeorefererenvectoriserenTidetime difference2009AntwerpVlissingenGeoreferencingVectoringHydrographyurn:ogc:def:crs:EPSG::313003.636 50.9844.608 51.487Morocco:airoportAirport Al Hoceima CASE - PEGASOprojectfeaturesairoporturn:ogc:def:crs:EPSG::4326-3.84581923484802 35.1640510559082-3.83625149726868 35.1899604797363NorthSea:banksNorthSeabanksurn:ogc:def:crs:EPSG::43262.054 51.0574.016 52.744Belgium:be_basislijn_2015The low-water mark (0 m depth line) and ends of permanent harbour works extending beyond the low-water mark. Source: Flemish HydrographyVlaamse Hydrografiebasislijn12 nautische mijl3 nautische mijl24 nautische mijladministratieve eenhedengrenzenboundariesBelgische Territoriale ZeeAansluitende ZoneBelgisch Continentaal Plat (BCP)Belgische Exclusieve Economische Zone (EEZ)VisserijzonesAdministrative unitsurn:ogc:def:crs:EPSG::43262.2370066 51.09277613.3632836 51.8753061Lifewatch:lfbatcorderFour ecoObs BatCorders are installed within the Belgian LifeWatch Observatory: (1) A standard BatCorder at the premises of the Marine Station Ostend (MSO), near the dunes of the right bank of the Ostend harbor entrance (installed in March 2014); (2) A standard BatCorder on one of the C-Power wind turbines (I5) (installed in October 2014) (also a web cam and WiFi device were installed here); (3) A GSM-BatCorder attached to a bird observation hut in the nature reserve 't Zwin; and (4) A GSM-BatCorder installed on the railing of the lighthouse in Nieuwpoort, in the estuary of the Ijzer river.BatCorderbatsacousticmonitoringecholocationEnvironmental monitoring facilitiesurn:ogc:def:crs:EPSG::43262.729978 51.1546533.34797 51.5785Lifewatch:lfmotusAs part of the Lifewatch observatory and the Motus wildlife tracking network, a network of antenna stations was installed to track migrating bats along the coasts of the North Sea. Currently, two radiotelemetry stations are installed in Belgium, one in Koksijde and one in Heist. The deployment of a third station on an offshore wind turbine is planned.acousticradiotelemetrybatselectronic taggingEnvironmental monitoring facilitiesurn:ogc:def:crs:EPSG::43262.6483 51.12363.2378 51.341Kustportaal:badzones_buffer250mThe displayed bathing areas are based on the Provincial Spatial Implementation Plan 'Strand en Dijk 2013'.badzonestranddijktoezichtbadenprovinciaalruimtelijk uitvoeringsplanArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.57350535644235 51.09715933435353.32413099268905 51.3633868563127Scheldemonitor:zwemwaterkwaliteitZwemwaterkwaliteitEEAurn:ogc:def:crs:EPSG::4326-63.147 -21.37455.733 66.715BWZee:ug_rcmg_bpi_sSmall scale structures indicating e.g. narrow depressions, depressions on crests, steep slopes on the Belgian continental shelf (BCS) derived from the digital elevation model (DEM) of the BCS using the Bathymetric Position Index (Weiss (2001); Iampietro & Kvitek (2002)). The DEM was compiled by the RCMG from bathymetric singlebeam data from the Ministry of the Flemish Community (Department of Environment and Infrastructure, Waterways and Marine Affairs Administration, Division Coast, Hydrographic Office) and was completed with data from the Hydrographic Office of the Netherlands and the United Kingdom.GeologyzonesstructuresslopecrestflatdepressionBelgian continental shelfDEMdigital elevation modelBelgiumbathymetriebpibathymetric position indexBCSmarineElevationurn:ogc:def:crs:EPSG::326312.2303833144430616 51.093555970221833.2292747171204863 51.87431785639816BWZee:ug_rcmg_bpi_zLarge scale zones indicating slopes, crests, flats and depressions on the Belgian continental shelf (BCS) derived from the digital elevation model (DEM) of the BCS using the Bathymetric Position Index (Weiss (2001); Iampietro & Kvitek (2002)). The DEM was compiled by the RCMG from bathymetric singlebeam data from the Ministry of the Flemish Community (Department of Environment and Infrastructure, Waterways and Marine Affairs Administration, Division Coast, Hydrographic Office) and was completed with data from the Hydrographic Office of the Netherlands and the United Kingdom.GeologyzonesstructuresslopecrestflatdepressionBelgian continental shelfDEMdigital elevation modelBelgiumbathymetriebpibathymetric position indexBCSmarineElevationurn:ogc:def:crs:EPSG::326312.2303587579313233 51.12731022623.212748975047449 51.87576298482653Scheldemonitor:vh_dieptecontourenBeneden-ZeescheldebathymetriedieptemorfodynamiekvaargeulScheldeurn:ogc:def:crs:EPSG::326314.228 51.1174.405 51.36Scheldemonitor:scheldebathympolyBathymetric grid of the Scheldt estuary between Dendermonde and the river mouth. Depths have positive values, heights are negative. The resolution of the grid is 5 meters. The data from 2002-2003 is from Rupelmonde to the river mouth and the chart datum used is GLLWS, the data from 1995-1999 is from Rupelmonde to Dendermonde and the chart datum use is TAW.geologiegeofysicasedimentatiegeologiegeofysicasedimentatiebathymetriesonarbeeldenmarienbrak waterterrestrischbathymetrieANENederlandWesterscheldeSchelde-estuariumBelgiëZeescheldeTAWGLWSGeologygeophysicssedimentationgeologygeophysicssedimentationbathymetrysonar imagesmarinebrackish waterterrestrialbathymetryANEThe NetherlandsWestern ScheldtScheldt estuaryBelgiumSea ScheldtTAWGLWSHydrographyurn:ogc:def:crs:EPSG::43263.306 51.1194.402 51.492NorthSea:bathymetry_inBathymetry of the Southern Bight of the North Sea, source: 'Limited Atlas of the Belgian Part of the North Sea, Maes et al., 2000, RUG - Instituut voor Natuurbehoud.'freereference to authorsourceoriginatorbathymetrybathymetriediepteZuidelijke Bocht van de NoordzeeNoordzeeSouthern Bight of the North SeaNorth SeaElevationurn:ogc:def:crs:EPSG::43260.113329999148846 49.59891128540044.72855043411255 53.1172142028809Morocco:beach_widthBeach width; Al Hoceima CASE - PEGASOprojectbeach_widthfeaturesbeachwidthAl HoceimaMoroccoPEGASOurn:ogc:def:crs:EPSG::4326-3.92633509635925 35.1969261169434-3.72893571853638 35.2824745178223NorthSea:bcsNorthSeabcsurn:ogc:def:crs:EPSG::43262.238 51.0893.367 51.87Belgium:be_intgrens_2015Boundary of the Belgian territorial sea and the Belgian continental shelf with the Netherlands, United Kingdom and France. Source: Flemish HydrographyVlaamse Hydrografiebasislijn12 nautische mijl3 nautische mijl24 nautische mijladministratieve eenhedengrenzenboundariesBelgische Territoriale ZeeAansluitende ZoneBelgisch Continentaal Plat (BCP)Belgische Exclusieve Economische Zone (EEZ)VisserijzonesAdministrative unitsurn:ogc:def:crs:EPSG::43262.2370066 51.09277613.3632836 51.8753061NorthSea:wmp_belwindlocatie turbinesBelwindturbineswindmolenparkwindmolensurn:ogc:def:crs:EPSG::43262.77500002401157 51.63543658385022.82895004556947 51.7027027544792Scheldemonitor:geulwand_moneos_t0RWS Moneos T0urn:ogc:def:crs:EPSG::289923.368 51.3334.233 51.458Europe:europe_biogeoregions_2011Europe 2011 - Rev. 1 - The biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention). http://www.eea.europa.eu/data-and-maps/data/biogeographical-regions-europe-1#tab-additional-informationeurope_biogeoregions_2011featuresEEAurn:ogc:def:crs:EPSG::3035-117.27962476268907 16.983400319751844150.97859732060908 90.0Lifewatch:lfgroundstationsbirdsSince 1999, the Research Institute for Nature and Forest (INBO) studies the postnuptial migration, and mate and site fidelity of large gulls, using observer sightings of color-ringed individuals. Using similar methods, the INBO started studying the ecology of the Western Marsh Harrier in 2011, an Appendix I species of the European Birds Directive, which Belgian population is in decline. Although the extensive database at present holds more than 90.000 resighting records, emerging habitat use and migration patterns are strongly biased towards more populated areas and locations where the rings can easily be read. In the framework of the Flemish contributions to the LifeWatch infrastructure, a high-tech sensor network was installed (start June 2013) to better monitor the habitat use and migration patterns of large birds, such as the European Herring Gull (Larus argentatus Pontoppidan, 1736), the Lesser Black-backed Gull (Larus fuscus Linnaeus, 1758) and the Western Marsh Harrier (Circus aeruginosus Linnaeus, 1758). The birds are equipped with lightweight, solar powered GPS tags, while antennas and ground stations are installed at the breeding grounds to track the GPS signals.GPS trackingbirdsmigration patternshabitat useEnvironmental monitoring facilitiesurn:ogc:def:crs:EPSG::43262.92955 51.23323.685251 51.448673Lifewatch:lfbirdcamsCurrently four BirdCams (3 permanent + 1 mobile) are installed within the Belgian Marine LifeWatch Observatory: (1) At the rooftop of the VLIZ building in Ostend, to observe the nesting behavior of the European Herring Gulls in more detail; (2) At the Spuikom in Ostend, to observe the presence and behavior of water birds, such as the black cormorant, gulls, and several duck species; (3) At the Scheelhoekeilanden in the Dutch Delta area, to study the breeding and feeding ecology of Sandwich Terns; and (4) On the railing of the C-Power windmill WTG I5, located in the windmill farm on the Thorntonbank (Belgian Part of the North Sea), mainly to monitor the VLIZ measuring buoy, but also to investigate whether this BirdCam can be used for the observation of seabirds and marine mammals. The BirdCam at the Scheelhoekeilanden is a mobile set-up and is only installed during the breeding season.webcambirdsobservationpresencenesting behaviorforaging behaviorfeeding behaviorEuropean Herring GullsSandwich TernEnvironmental monitoring facilitiesurn:ogc:def:crs:EPSG::43262.846489 51.1967262.990167 51.5785NorthSea:boeien_vlootboeienvlootlocatieBelgisch Continentaal PlatBCPurn:ogc:def:crs:EPSG::43262.25 51.11249923706053.32783341407776 51.6883354187012MarineRegions:brasdorlakebiospherereserveWhat is the Bras d’Or Lake Biosphere Reserve? It is a UNESCO designated area defined by the watershed of the Bras d'Or lake. It is Canada's 16th biosphere. Biosphere reserves are special places around the world where people are trying to live more sustainably – that means 4 things: a healthy environment a healthy economy a healthy society a healthy culture The Bras d'Or Lake Biosphere Reserve Association is a group of volunteers who have worked to have the Bras d’Or Lake and its watershed designated as a UNESCO Man and the Biosphere Reserve. We now oversee the activities of the Biosphere Reserve. We are a registered society in the province of Nova Scotia. 532 Chebucto St. P.O. Box 711 Baddeck, NS B0E 1B0 Email: contact@blbra.ca Tel: (902) 674-2578 Canadian Biosphere Reserves Association The CBRA aims to help create healthy, sustainable communities across Canada while conserving our natural and cultural heritage by supporting Canadian biosphere reserves. In addition, the CBRA serves as a national and international voice for Canadian biosphere reserves. 422 Chemin des Moulins Mont-Saint-Hilaire, Quebec, J3G 4S6 Canada Website: www.biospherecanada.caUNESCObiospherewatershedCanadaenvironmenteconomysocietyculturevolunteersManbiosphereAdministrative unitsurn:ogc:def:crs:EPSG::4326-61.3318634033203 45.6341247558594-60.2687873840332 46.3931465148926World:brazil_statesbrazil_statesfeaturesurn:ogc:def:crs:EPSG::4326-73.99045 -33.752081-34.792885 5.27184100000005Scheldemonitor:broedvogels_rikz_vdws7908broedvogelsvogelsWesterscheldediversiteitbroedparenScheldeurn:ogc:def:crs:EPSG::43263.375 51.3134.245 51.522Scheldemonitor:gebieden_algsoortenurn:ogc:def:crs:EPSG::313703.8870710321143065 51.003173328559154.441548778717009 51.34573362882406Scheldemonitor:wsbrv2010vogelskustbroedvogelsWesterscheldebroedvogelsbroedvogeltellingenavesurn:ogc:def:crs:EPSG::43263.375 51.3134.245 51.552NorthSea:buffer_boeien_mtboeienvlootlocatieBelgisch Continentaal PlatBCP2010bufferurn:ogc:def:crs:EPSG::258313.318414080756036 51.0780674876783964.414508154508101 51.5504596397876NorthSea:buffer_boeien_vlootboeienvlootlocatieBelgisch Continentaal PlatBCPbufferzone2013urn:ogc:def:crs:EPSG::43262.24285554885864 51.10800552368163.33501625061035 51.7614974975586Morocco:al_hoceima_urbainUrban Al Hoceima; Al Hoceima CASE - PEGASOprojectal_hoceima_urbainfeaturesurbanbuilt-upPEGASOAl HoceimaMoroccourn:ogc:def:crs:EPSG::4326-3.96371626853943 35.2195701599121-3.91430711746216 35.2615623474121Scheldemonitor:mt_boeien_20100211Location of the navigation buoys in the Sea Scheldt, Western Scheldt and the Belgian coast.Boeienscheepvaartlocatie boeienBuoyshippinglocation buoysurn:ogc:def:crs:EPSG::258312.406 51.0824.407 51.546Scheldemonitor:boeien_ws_rws_20150123boeienvlootlocatieBelgisch Continentaal PlatBCP2010bufferurn:ogc:def:crs:EPSG::43263.22256666666667 51.27472777777784.23039444444444 51.6197388888889Lifewatch:lfstations_cpodAs part of the marine LifeWatch observatory, the permanent Cetacean passive acoustic network in the BPNS contains 10 C-PODs. These are deployed on tripod frames positioned along an east-west gradient covering coastal, midshore and offshore zones of the BPNS. The C-POD itself is attached to a buoy with an acoustic release system, allowing for the recovery of the equipment.Passiveacoustichydrophonenetworkharbor porpoiseEnvironmental monitoring facilitiesurn:ogc:def:crs:EPSG::43262.308917 51.245333.117 51.70442NorthSea:wmp_thorntonlocatie turbinesC-Powerturbineswindmolenparkwindmolensurn:ogc:def:crs:EPSG::43262.88437056541443 51.52056121826173.01680397987366 51.5812644958496Kustportaal:campings_20180813Campsites with promotional attributes that may be relevant to the tourist. The licensed mini campsites according to the old Accommodation Decree have also been added to these datasets.slapensleepingaccommodationlogiesovernachtencampingLand useurn:ogc:def:crs:EPSG::43262.56989288330078 50.72677230834965.88251733779907 51.4540634155273Kustportaal:campings_20191209Campsites with promotional attributes that may be relevant to the tourist. The licensed mini campsites according to the old Accommodation Decree have also been added to these datasets.slapensleepingaccommodationlogiesovernachtencampingLand useurn:ogc:def:crs:EPSG::313702.554697386409949 50.7220047062187765.906026989061214 51.45325814136541World:canada_polyurn:ogc:def:crs:EPSG::4326-141.002 40.043-47.698 90.0Europe:spain_municipios_spainhttp://www.arcgis.com/home/item.html?id=2e47bb12686d4b4b9d4c179c75d4eb78spain_municipios_spainfeaturesurn:ogc:def:crs:EPSG::4326-18.1608034091201 27.63774025700514.32788957680997 43.7899940017089Kustportaal:margoedoverslag_07Cargo traffic in the Flemish ports (in tonnes). Source: Merckx, J.P. (2020). Zeehavens en luchthavens in Vlaanderen. Feiten, statistieken en indicatoren voor 2019. Mobiliteitsraad van Vlaanderen: Brussel. 195 pp.Transport networksurn:ogc:def:crs:EPSG::43262.83020520210266 50.97754669189454.50626516342163 51.3796577453613Paardenmarkt:chemsamplingpoints_2003featureschemsamplingpoints_2003urn:ogc:def:crs:EPSG::43263.248677730560303 51.359115600585943.265745162963867 51.369171142578125Paardenmarkt:chemsamplingpoints_2005featureschemsamplingpoints_2005urn:ogc:def:crs:EPSG::43263.236966609954834 51.356525421142583.280077934265137 51.36388397216797Paardenmarkt:chemsamplingpoints_2007featureschemsamplingpoints_2007urn:ogc:def:crs:EPSG::43263.236966609954834 51.353832244873053.280077934265137 51.36388397216797Paardenmarkt:chemsamplingpoints_2008featureschemsamplingpoints_2008urn:ogc:def:crs:EPSG::43263.236966609954834 51.35264968872073.280083417892456 51.366886138916016Paardenmarkt:chemsamplingpoints_2009featureschemsamplingpoints_2009urn:ogc:def:crs:EPSG::43263.236966609954834 51.352645874023443.280077934265137 51.36686325073242Paardenmarkt:chemsamplingpoints_2010featureschemsamplingpoints_2010urn:ogc:def:crs:EPSG::43263.236966609954834 51.352645874023443.280077934265137 51.36686325073242Paardenmarkt:chemsamplingpoints_2011featureschemsamplingpoints_2011urn:ogc:def:crs:EPSG::43263.236966609954834 51.352645874023443.280077934265137 51.36686325073242Paardenmarkt:chemsamplingpoints_2013featureschemsamplingpoints_2013urn:ogc:def:crs:EPSG::43263.236966609954834 51.3540267944335943.280077934265137 51.36686325073242Paardenmarkt:chemsamplingpoints_2014featureschemsamplingpoints_2014urn:ogc:def:crs:EPSG::43263.236966609954834 51.3540267944335943.280077934265137 51.36686325073242Paardenmarkt:chemsamplingpoints_2015featureschemsamplingpoints_2015urn:ogc:def:crs:EPSG::43263.236966609954834 51.352645874023443.280077934265137 51.36686325073242Paardenmarkt:chemsamplingpoints_2016featureschemsamplingpoints_2016urn:ogc:def:crs:EPSG::43263.236966609954834 51.352645874023443.280077934265137 51.36686325073242Paardenmarkt:chemsamplingpoints_2017featureschemsamplingpoints_2017urn:ogc:def:crs:EPSG::43263.236966609954834 51.35264968872073.280083417892456 51.36686706542969Paardenmarkt:chemsamplingpoints_2018featureschemsamplingpoints_2018urn:ogc:def:crs:EPSG::43263.236966609954834 51.352645874023443.280077934265137 51.36595153808594Paardenmarkt:chemsamplingpoints_2019Surface sediment sampling and bottom water sampling (2019). In total 19 points were sampled. Sampling performed by DOVO. featureschemsamplingpoints_2019urn:ogc:def:crs:EPSG::43263.260888814926148 51.3598594665527343.280083417892456 51.36103057861328Paardenmarkt:chemsamplingpoints_2021Surface sediment sampling and bottom water sampling (2021). In total 30 points were sampled. Sampling performed by DOVO.featureschemsamplingpoints_2021urn:ogc:def:crs:EPSG::43263.236966609954834 51.352645874023443.280077934265137 51.36686325073242Paardenmarkt:chemsamplingpoints_2022Surface sediment sampling and bottom water sampling (2022). In total 30 points were sampled. Sampling performed by DOVO.featureschemsamplingpoints_2022urn:ogc:def:crs:EPSG::43263.236944437026978 51.352645874023443.280077934265137 51.372222900390625Paardenmarkt:chemsamplingpoints_2023featureschemsamplingpoints_2023urn:ogc:def:crs:EPSG::43263.236944437026978 51.352645874023443.280077934265137 51.372222900390625Kustportaal:lw_fyto_chlaPigment analysis is performed for each of the 9 monthly and 8 seasonal LifeWatch stations. Water is sampled with Niskin bottles at 3 meters depth and filtered directly. The Ghent University Protistology & Aquatic Ecology research group (PAE) then applies High Pressure Liquid Chromatography (HPLC) to determine pigment composition.RV Simon StevinsamplingstationplanktonpigmentOceanographic geographical featuresurn:ogc:def:crs:EPSG::43262.25117468833923 51.18301010131843.22584223747253 51.8030738830566MarineRegions:isa_ccz_managementareaPreferred citation: International Seabed Authority (2023). The geographical limits of the Clarion-Clipperton Zone management area, exploration areas, reserved areas and areas of particular environmental interest (APEIs) (ISBA/17/LTC/7, ISBA/18/C/22, ISBA/26/C/58, ISBA/26/C/43). Esri shapefiles for exploration areas, reserved areas and APEIs are available online at https://www.isa.org.jm/exploration-contracts/maps/. Accessed on (date).featuresisa_ccz_managementareaurn:ogc:def:crs:EPSG::4326-159.99999999999997 3.55E-14-111.40673886513702 23.50000000000016Morocco:cliffsCliffs Al Hoceima CASE - PEGASOprojectcliffsfeaturesPEGASOAl HoceimaMoroccoCliffBayurn:ogc:def:crs:EPSG::4326-3.98276233673096 35.1664695739746-3.6233594417572 35.286937713623Kustportaal:jachthavensLocation of the marinas along the Belgian/Flemish coastline.havenjachthavenkustjachthavenkustbelgievlaanderenTransport networksurn:ogc:def:crs:EPSG::43262.74463 51.1417413.203789 51.333697Belgium:kustregioFlemish coastal municipalities in 1 polygon. Source: NGI - Nationaal Geografisch InstituutgrenstoerismekustgemeentenpolygoonwesttoerdatakustportaalArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.54570550835761 51.04612594132793.38534495814253 51.3690318275977Kustportaal:watersportclubs_32Overview of the location of water sport clubs and yacht clubs along the Belgian coast.SportTourismWaterRecreationCadastral parcelsurn:ogc:def:crs:EPSG::43262.57209277153015 51.0965499877933.32759928703308 51.3618087768555Kustportaal:coastbustersThe Coastbusters pilot project (2016-2019) explores the use of innovative biostabilisation methods as a coastal protection mechanism, with the aim of achieving the natural increase of sand and strengthening the foreshores against coastal erosion.maricultuurmariculturecoastbustersAgricultural and aquaculture facilitiesurn:ogc:def:crs:EPSG::43262.57413649559021 51.11464309692382.58019685745239 51.1195259094238HistorischeKaarten:hk_kustlijnA serie of ancient historical maps were scanned and georeferenced within the HisGISKust project. Georeferencing is the process to fit an old map on a contemporary map, by searching on both maps reference points which are still recognizable. Certain elements were also vectorized from the maps, like the coastline. This map layer provides these drawn coastlines. Version: March 2016kustlijnhistoriekevolutiemiddeleeuwen16de eeuw17de eeuw18de eeuwvectoriserengeorefererenHisGISkustElevationurn:ogc:def:crs:EPSG::4326-0.0615599825978279 50.70211410522464.94581937789917 53.1571960449219MarineRegions:coasts_subnationalurn:ogc:def:crs:EPSG::4326-156.644302368164 -55.796558380127171.965911865234 81.5042877197266MarineRegions:coasts_per_oceanurn:ogc:def:crs:EPSG::4326-181.800003051758 -90.8683242797852181.800003051758 84.533821105957SAIL:sailcommunesSAILsailcommunesurn:ogc:def:crs:EPSG::4326-0.51 50.2754.28 52.093Emodnetbio:cti_macroalgae_nw_spainOcean warming is expected to drive quick shifts in marine species distributions modifying coastal communities. Previous research has shown how the southern Bay of Biscay is particularly affected and the canopy-forming subtidal and intertidal macroalgal assemblages are expected to be replaced by turf-forming Mediterranean-like communities with warmer affinities by the end of the century. The effect of temperature on macroalgal communities could be assesed using thermal metrics that can target temperature effects alone. An example is the Community Temperature Index (CTI) which is an abundance-weighted mean of the species’ optimal temperature. It has been previously used to understand the thermal preferences of different organisms such us birds, fish or invertebrates. This product provides the Community Temperature Index (CTI) of macroalgae intertidal communities from NW Spain. The CTI has been calculated for 18 sites along a longitudinal thermal gradient in NW Spain, two intertidal levels (Low and Mid) and two different years (2011 and 2017). Results are stored in a csv file with the coordinates of each site ("decimalLongitude" and "decimalLatitude" columns), their codes ("Site" and "Intertidal_level" columns), the sampling year ("Year" column) and the mean CTI ("CTI column").featurescti_macroalgae_nw_spainurn:ogc:def:crs:EPSG::4326-9.249575 42.235177-2.259167 43.629808NorthSea:concessie_thorntonThorntonbankwindmolenparkwindmolenconcessieurn:ogc:def:crs:EPSG::43262.952 51.5443.018 51.582NorthSea:concessiezones_201402concessiezone BCPwindmolenparkwindmolenbarkBelgisch continentaal platBCPurn:ogc:def:crs:EPSG::43262.70500016212463 51.49076461791993.08353614807129 51.739917755127NorthSea:concessiezonesfeaturesconcessiezonesurn:ogc:def:crs:EPSG::43262.76237392425537 51.48905563354493.08229756355286 51.7105865478516MarineRegions:eez_24nmVersion 4 of the Contiguous Zones from the VLIZ Maritime Boundaries Geodatabase. The Contiguous Zone is a band of water extending from the outer edge of the territorial sea to up to 24 nautical miles (44.4 km; 27.6 mi) from the baseline.territorial seascontiguous zonemarine regionsWorld Oceansmarineexclusive economic zoneslaw of the seaterritorial watersworld oceansarchipelagic watersinternal watersboundariesAdministrative unitsurn:ogc:def:crs:EPSG::4326-180.0 -56.924999025484624180.0 84.07369963423773MarineRegions:comargeThis shapefile has been prepared in the framework of COMARGE, one of the field project of the Census of Marine Life. It is intended to represent continental margins worldwide, with the exclusion of the continental shelf. The continental margins have been defined based on bathymetry and expert opinion. The upper margin of the boundary has been set at 140 m depth, which is the average depth of the shelf break, except in Antarctica where the shelf break goes deeper and the upper boundary has been set up at 500 m. The lower boundary has been set at 3500 m depth. Both isobaths were extracted from S2004 Bathymetry (a global bathymetry at 1 arc-minute resolution). The upper and lower boundaries were manually edited to follow the contour of continental margins in particular cases. Please note that some but not all margins around island are included in this shapefile.downloadable dataOceanographic geographical featuresurn:ogc:def:crs:EPSG::4326-179.999988786051 -78.4229638428662179.999988754693 84.8446715025928World:worldcontinentswereldcontinentenafbakeningurn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 83.624Scheldemonitor:scheldtcontoursContour lines of the Scheldt estuary, tributaries and coastline. Ministerie van de Vlaamse Gemeenschap, Afdeling Maritieme ToegangcontourenScheldeurn:ogc:def:crs:EPSG::43262.719 50.8564.74 51.624Crestproject:contour_miwe01The contour lines of the map series <a href='http://crestproject.be/nl/imis?module=dataset&dasid=175 'target='_blank'>'Topography beach Flemish coast'</a> were digitized by the Flanders Marine Institute, within the framework of the <a href='http://www.crestproject.be 'target='_blank'> CREST-project </a>. The maps were prepared by Eurosense Belfotop NV for Coastal Division and reflect the height model of the coastal zone of the Flemish coast, following coastal morphology for coastal defense and management of the coastal zone. For the height values, the reference plane Z was used. Note: only part of the file from 1996 was digitized.hoogtehoogtelijncontouraltimetrieeurosensemcmduinenstrandprofielheightaltitudecontouraltimetryeurosensemcmdunesbeach profileElevationurn:ogc:def:crs:EPSG::43262.54153966903687 51.08797073364262.56199097633362 51.0964698791504Crestproject:contour_miwe08The contour lines of the map series <a href='http://crestproject.be/nl/imis?module=dataset&dasid=175 'target='_blank'>'Topography beach Flemish coast'</a> were digitized by the Flanders Marine Institute, within the framework of the <a href='http://www.crestproject.be 'target='_blank'> CREST-project </a>. The maps were prepared by Eurosense Belfotop NV for Coastal Division and reflect the height model of the coastal zone of the Flemish coast, following coastal morphology for coastal defense and management of the coastal zone. For the height values, the reference plane Z was used.hoogtehoogtelijncontouraltimetrieeurosensemcmduinenstrandprofielheightaltitudecontouraltimetryeurosensemcmdunesbeach profileElevationurn:ogc:def:crs:EPSG::43262.68215346336365 51.13678741455082.70564961433411 51.1473350524902Crestproject:contour_miwe1718The contour lines of the map series <a href='http://crestproject.be/nl/imis?module=dataset&dasid=175 'target='_blank'>'Topography beach Flemish coast'</a> were digitized by the Flanders Marine Institute, within the framework of the <a href='http://www.crestproject.be 'target='_blank'> CREST-project </a>. The maps were prepared by Eurosense Belfotop NV for Coastal Division and reflect the height model of the coastal zone of the Flemish coast, following coastal morphology for coastal defense and management of the coastal zone. For the height values, the reference plane Z was used.hoogtehoogtelijncontouraltimetrieeurosensemcmduinenstrandprofielheightaltitudecontouraltimetryeurosensemcmdunesbeach profileElevationurn:ogc:def:crs:EPSG::43262.85659384727478 51.20691299438482.8939254283905 51.2249450683594Scheldemonitor:mt_contour_20100115Scheldemonitorurn:ogc:def:crs:EPSG::258312.531 50.9774.771 51.629NorthSea:turbines_phase1urn:ogc:def:crs:EPSG::326312.924 51.5382.953 51.551NorthSea:belwind_turbines_as_builturn:ogc:def:crs:EPSG::326312.775 51.6352.829 51.703MarineHeritage:coralreefskoraalkoraalriffenriffencoralreefsurn:ogc:def:crs:EPSG::4326-180.0 -34.3000030517578179.983337402344 32.4916687011719Scheldemonitor:broedvogels_wsCounting areas of the counted or estimated numbers of non breeding birds in the Western Scheldt from 2012/2013 till 2019/2020.urn:ogc:def:crs:EPSG::289923.490291593687986 51.285575420660244.250166612002312 51.4872131260466Scheldemonitor:wskbrurn:ogc:def:crs:EPSG::43263.375 51.3134.245 51.552Scheldemonitor:zeehondentellingen_zeelandurn:ogc:def:crs:EPSG::289923.455 51.3524.22 51.913BWZee:macro1Map showing the results of the valuation question: 'Is the subzone characterized by high counts of many species?'. This question was asked to get an idea of the biological value of macrobenthos of the BPNS.marinebirdscharacteristicsindicatorsmacrobenthossediment compositionANEBelgiumBelgian Continental Shelf (BCS)biologyvaluation mapBelgian Continental Shelfseabirdsepibenthosdemersal fishdemersalfishBelgian Science Policy (BELSPO)Onderzoeksdomein VisserijUniversiteit GentOnderzoeksgroep Mariene Biologie (MARBIOL)Renard Centre of Marine Geology (RCMG)Vlaams Instituut voor de Zee (VLIZ)Vlaamse overheid; Beleidsdomein LeefmilieuNatuur en Energie; Instituut voor Natuur- en Bosonderzoek (INBO)GISmapsdatalowhighvaluation questionsHabitats and biotopesurn:ogc:def:crs:EPSG::326312.307607531286774 51.094549492577593.2813406596191483 51.73046645660412MarineRegions:cross_dateline_polygonsurn:ogc:def:crs:EPSG::4326-180.0 -35.0180.0 32.0000000000001Dataportal:abiotic_observationsurn:ogc:def:crs:EPSG::43260.0 0.05.08056797730202 51.687394885Dataportal:biotic_observationsurn:ogc:def:crs:EPSG::43262.913889 3.5833333333333351.4583333333333 51.657788Dataportal:abiotic_observations_count2featuresabiotic_observations_count2urn:ogc:def:crs:EPSG::4040000.0 0.01.0 1.0Dataportal:parameters2featuresparameters2urn:ogc:def:crs:EPSG::4040000.0 0.01.0 1.0Kustportaal:deepwater_appscheldtDeep water shipping route Western Scheldt approach. IMO (2017)Transportationeconomic planningenvironmental planningmaritime navigationArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.74202069995567 51.38967100786793.04751970000817 51.4325191078935Scheldemonitor:diepteprofielen_2015In the Sea Scheldt and tributaries the profiles of 28 mud flat and salt marsh zones are measured annually on lines perpendicular to the shore. For each profile detailed measurements are made with sedimentation erosion plots as well (reference pole with 16 measurements around it) to statistically detect changes to profiles too. The measurements take place from the toe of the dyke to the low water line. While being measured the profiles are described on morphodynamic features and documented on fixed points with photographs. Granulometry is also determined for microdynamics on those lines.DiepteprofielendieptebathymetrieZeescheldeDepth profilesdepthbathymetrySea Scheldturn:ogc:def:crs:EPSG::43263.78716958687732 51.00741278056534.56452740337289 51.3638806626292Scheldemonitor:profielen_2009DiepteprofielendieptebathymetrieZeescheldeurn:ogc:def:crs:EPSG::313003.784 51.0044.268 51.322Scheldemonitor:profielen_2011DiepteprofielendieptebathymetrieZeescheldeurn:ogc:def:crs:EPSG::313003.783 51.0134.566 51.363Scheldemonitor:profielen_aug2008DiepteprofielendieptebathymetrieZeescheldeurn:ogc:def:crs:EPSG::313004.242 51.1254.376 51.36Scheldemonitor:profiellijnen_20082009DiepteprofielendieptebathymetrieZeescheldeurn:ogc:def:crs:EPSG::313003.783 51.0044.376 51.36Kustportaal:toegevwaarde_11The direct added value in the Flemish ports in euro. Bronnen: Merckx, J.P. (2018). De Vlaamse havens: feiten, statistieken en indicatoren voor 2017. Vlaamse Havencommissie: Brussel. 149 pp. Coppens, F.; Mathys, C.; Merckx, J.P.; Ringoot, P.; Van Kerckhoven, M. (2018). The economic importance of the Belgian ports: Flemish maritime ports, Liège port complex and the port of Brussels – Report 2016. Nationale Bank van België Working Paper Documents, 342. National Bank of Belgium: Brussels. 96 pp.Transport networksurn:ogc:def:crs:EPSG::43262.83020520210266 50.97754669189454.50626516342163 51.3796577453613Kustportaal:werkgelegenheid_10The direct employment in the Flemish ports. Sources: Merckx, J.P. (2020). Zeehavens en luchthavens in Vlaanderen. Feiten, statistieken en indicatoren voor 2019. Mobiliteitsraad van Vlaanderen: Brussel. 195 pp. Coppens, F.; Mathys, C.; Merckx, J.P.; Ringoot, P.; Van Kerckhoven, M. (2018). The economic importance of the Belgian ports: Flemish maritime ports, Liège port complex and the port of Brussels – Report 2016. Nationale Bank van België Working Paper Documents, 342. National Bank of Belgium: Brussels. 96 pp.Production and industrial facilitiesurn:ogc:def:crs:EPSG::43262.83020520210266 50.97754669189454.50626516342163 51.3796577453613Kustportaal:investeringen_12Direct investments in Flemish ports in euro. Source: Merckx, J.P. (2020). Zeehavens en luchthavens in Vlaanderen. Feiten, statistieken en indicatoren voor 2019. Mobiliteitsraad van Vlaanderen: Brussel. 195 pp.Transport networksurn:ogc:def:crs:EPSG::43262.83020520210266 50.97754669189454.50626516342163 51.3796577453613Scheldemonitor:kmafstanden_mt_corrThe 'location plan calculation profiles' of Flanders Hydraulics Research were digitised, georeferenced and vectorised. The result is a shapefile with the kilometer distance measured from Vlissingen. Source of the location plan: Smets, E. (1996). MOD 405 rapport 2 – Kubatuurberekeningen voor het Scheldebekken – Het gemiddeld getij over het decennium 1971-1980 – Deel 1: Verslag. Waterbouwkundig Laboratorium: Borgerhout.afstandenkmVlissingenkilometerScheldeDistanceskmVlissingenkilometerScheldturn:ogc:def:crs:EPSG::43263.5677368881222 50.98817975647944.74194884441498 51.4566661170568Scheldemonitor:schelde_distvlissingen_point_1kmThis reference distance layer was developed within the SIGMA 3 project, in which the University of Antwerp, Flanders Hydraulics, De Vlaamse Waterweg and INBO collaborate on modelling studies for future developments of the Scheldt estuary, taking into account climate scenarios and different management alternatives. The layer provides a uniform spatial reference for location identification, analysis, data exchange, model results and reporting among project partners. Although primarily intended for use within the SIGMA 3 project, it may also serve as a broader reference layer for applications related to the Scheldt estuary. Distances are calculated from Vlissingen, which is used as the zero point. Reference points were generated at one-kilometre intervals along a thalweg line of the estuary, using the ArcGIS “Generate Points Along Lines” tool. Additional reference points were created for river branches. The endpoints of the layer correspond to the boundaries of the model calculation domain. The attribute table includes Lambert 72 X and Y coordinates, the river segment identifier, the distance to Vlissingen, the distance to the Belgian-Dutch border, and the distance measured from the branching point of the relevant segment. No periodic updates are currently planned. Point of contact: robrecht.debbaut@inbo.befeaturesschelde_distvlissingen_point_1kmurn:ogc:def:crs:EPSG::313703.56271182060922 50.9836926965999454.740719108676991 51.44398598755083BWZee:macro8Map showing the results of the valuation question: 'Are there distinctive/unique communities present in the subzone?'. This question was asked to get an idea of the biological value of macrobenthos of the BPNS.marinebirdscharacteristicsindicatorsmacrobenthossediment compositionANEBelgiumBelgian Continental Shelf (BCS)biologyvaluation mapBelgian Continental Shelfseabirdsepibenthosdemersal fishdemersalfishBelgian Science Policy (BELSPO)Onderzoeksdomein VisserijUniversiteit GentOnderzoeksgroep Mariene Biologie (MARBIOL)Renard Centre of Marine Geology (RCMG)Vlaams Instituut voor de Zee (VLIZ)Vlaamse overheid; Beleidsdomein LeefmilieuNatuur en Energie; Instituut voor Natuur- en Bosonderzoek (INBO)GISmapsdatalowhighvaluation questionsHabitats and biotopesurn:ogc:def:crs:EPSG::326312.2304151483662813 51.0873439299001653.361533764039047 51.800156113285254SAIL:sailalldistrictsdistrictsSAILurn:ogc:def:crs:EPSG::4326-0.508 50.2754.28 52.093NorthSea:baggerzonesbcpfeaturesbaggerzonesbcpurn:ogc:def:crs:EPSG::313002.852211923309851 51.244123972505753.3488801403783452 51.43510097929134Kustportaal:baggerlocaties_2012The location of dredging and dumping sites in the BNS for the year 2012.baggerenbaggerlocatiesstortlocatiesArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.71892118961298 51.14444190535993.93201768015395 51.4588233247343Kustportaal:baggerlocaties_2013The location of dredging and dumping sites in the BNS for the year 2013.baggerenbaggerlocatiesstortlocatiesArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.87459390306354 51.22461538522973.9894459802827 51.456389894446Kustportaal:baggerlocaties_2014The location of dredging and dumping sites in the BNS for the year 2014.baggerenbaggerlocatiesstortlocatiesArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.88666050793093 51.22457046314853.33062486672328 51.4628650210817Kustportaal:baggerlocaties_2015The location of dredging and dumping sites in the BNS for the year 2015.baggerenbaggerlocatiesstortlocatiesArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.88666050793093 51.22457046314853.33062486672328 51.4628650210817Kustportaal:baggerlocaties_2016The location of dredging and dumping sites in the BNS for the year 2016.baggerenbaggerlocatiesstortlocatiesArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.91214439612731 51.22479503783373.47269701257246 51.4652923776557Scheldemonitor:mt_baggerzones_20090909Scheldemonitorurn:ogc:def:crs:EPSG::258312.717 51.1264.409 51.447Lifewatch:dumping_sites_spainhttp://www.prtr-es.es/Informes/InventarioInstalacionesIPPC.aspxfeaturesdumping_sites_spainurn:ogc:def:crs:EPSG::4326-9.27527809143066 35.24856948852544.32694292068481 43.6166610717773Scheldemonitor:mt_stortzones_20090909ScheldemonitorStortzonesurn:ogc:def:crs:EPSG::258312.718 51.1744.4 51.469Kustportaal:edulis_belwindThe EDULIS project (2016-2018) aims to investigate the economic and ecological feasibility of mussel farming in offshore wind farms and analyses the forces acting on a mussel longline. A life cycle analysis and a business case will be developed to examine the economic feasibility of offshore mussel farming.maricultuurmaricultureedulisbelwindAgricultural and aquaculture facilitiesurn:ogc:def:crs:EPSG::43262.77768325805664 51.64611434936522.78104519844055 51.648509979248Kustportaal:edulis_cpowerThe EDULIS project (2016-2018) aims to investigate the economic and ecological feasibility of mussel farming in offshore wind farms and analyses the forces acting on a mussel longline. A life cycle analysis and a business case will be developed to examine the economic feasibility of offshore mussel farming.maricultuurmaricultureeduliscpowerAgricultural and aquaculture facilitiesurn:ogc:def:crs:EPSG::43262.96158027648926 51.56838226318362.96553635597229 51.5713500976562Europe:europe_10kmThis reference grid is based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52° N, longitude of origin 10° E, false northing 3 210 000.0 m, false easting 4 321 000.0 m. Origin of grid is calculated from 0 m N 0 m E of projection.EEA owned data setsvector datageospatial datagridurn:ogc:def:crs:EPSG::3035-130.61313610916727 18.798103941764072111.80202430573829 90.0Europe:europe_100kmThis reference grid is based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52° N, longitude of origin 10° E, false northing 3 210 000.0 m, false easting 4 321 000.0 m. Origin of grid is calculated from 0 m N 0 m E of projection.EEA reference grid 100Kvector datapolygonurn:ogc:def:crs:EPSG::3035-130.61313610916727 18.798103941764072111.80202430573829 90.0EMODPACE:pace_organisationsEMOD-PACE - Organisationsfeaturespace_organisationsurn:ogc:def:crs:EPSG::4326-4.70570802688599 37.621315002441424.9749565124512 60.295280456543EMODPACE:pace_wp3_t30_yellowsea_reanalysis_modellingEMOD-PACE - WP3 T3.0 Ocean reanalysis and modelling Yellow Seafeaturespace_wp3_t30_yellowsea_reanalysis_modellingurn:ogc:def:crs:EPSG::4326116.949996948242 32.9599990844727127.050010681152 41.0400009155273EMODPACE:pace_wp3_t31_barentsea_observationdatasetEMOD-PACE - WP3 T3.1 Observation dataset for validation Barent Seafeaturespace_wp3_t31_barentsea_observationdataseturn:ogc:def:crs:EPSG::4326-55.6500015258789 59.87575.6500015258789 85.1250076293945EMODPACE:pace_wp3_t31_neatlantic_observationdatasetEMOD-PACE - WP3 T3.1 Observation dataset for validation North East Atlanticpace_wp3_t31_neatlantic_observationdatasetfeaturesurn:ogc:def:crs:EPSG::4326-46.439998626709 29.790000915527342.439998626709 72.2100067138672EMODPACE:pace_wp3_t33_nwpacific_comparisonEMOD-PACE - WP3 T3.3 Comparison of European and Chinese reanalysis North West Pacificfeaturespace_wp3_t33_nwpacific_comparisonurn:ogc:def:crs:EPSG::4326104.75 4.81500005722046155.250015258789 42.185001373291EMODPACE:pace_wp4_t41_asianseabasin_habitatEMOD-PACE - WP4 T4.1 Habitat mapping for an Asian sea-basinfeaturespace_wp4_t41_asianseabasin_habitaturn:ogc:def:crs:EPSG::4490108.084510803223 20.2150573730469110.022727966309 21.924919128418EMODPACE:pace_wp4_t42_env_carrying_capacityEMOD-PACE - WP4 T4.2 Environmental carrying capacitypace_wp4_t42_env_carrying_capacityfeaturesurn:ogc:def:crs:EPSG::4326-7.93555307388306 39.5217742919922-0.107446983456612 47.0270233154297EMODPACE:pace_wp5_t5123_slc_ce_wdEMOD-PACE - WP5 T5.1, 5.2, 5.3 Sea level changes, coastal erosion, wetland degradationfeaturespace_wp5_t5123_slc_ce_wdurn:ogc:def:crs:EPSG::432629.5 -7.26000022888184130.5 45.2599983215332EMODPACE:pace_wp5_t54EMOD-PACE - WP5 T5.4 Vessel traffic densityfeaturespace_wp5_t54urn:ogc:def:crs:EPSG::432631.4019107818604 -8.06935501098633122.6123046875 32.2535438537598Dataportal:eurobiseurobis_viewfeaturesurn:ogc:def:crs:EPSG::4326-180.0 -81.9953180.05 90.0Emodnetbio:mediseh_cor_abs_pntCoral absence data from the dataset Coralligenous and mäerl beds distribution along the Mediterranean coasts - Mediterranean Sensitive Habitats (MEDISEH). Information has been derived from three sources: 1) the Action plan for the conservation of the coralligenous and other calcareous bio-concretions in the Mediterranean Sea by the UNEP-MAP-RAC/SPA (2008) 2) the report in the State of knowledge of the geographical distribution of the coralligenous and other calcareous bio-concretions in the Mediterranean by UNEP (2009) 3) projects focussing bioconstructions, their distribution and the driving forces affecting their structure and function A total of 798 scientific documents have been collected, together with 43 shapefiles, 1492 polygons and 641 data points for coralligenous formations, 47 polygons and 124 data points for maërl, and 39 bathymetry maps within the framework of the MEDISEH project. Even though proving information on absence data for both coralligenous and mäerl can be extremely difficult, an attempt has been made and 584 polygons have been included for coralligenous formations and 935 for maërl data. Detailed information for these two habitats is now available on about 15% of the Mediterranean coastal area. Fraschetti, M. Gristina, M. Salomidi, L. Knittweis, M.L. Pace, E. Punzo, A. Belluscio, G. Scarcella, F. Grati, F. De Leo, L. Rizzo, R. Cattaneo-Vietti, P. Povero, A. Cau, C. Piccinetti, V. Valavanis, C. Martin 2013. Coralligenous and mäerl beds distribution along the Mediterranean coasts Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.biologymacroalgaemarineMediterraneanbiotamedisehmaerlmaërlcoalligenousoutcroppointsvectorabsence datacoralscoalligenous outcropHabitats and biotopesurn:ogc:def:crs:EPSG::43262.69709825515747 39.23693466186524.13495206832886 40.0964660644531Emodnetbio:mediseh_cor_abs_polyCoral absence data (polygons) in the Mediterranean Sea. Data comes from Coralligenous and mäerl beds distribution along the Mediterranean coasts - Mediterranean Sensitive Habitats (MEDISEH). Information has been derived from three sources: 1) the Action plan for the conservation of the coralligenous and other calcareous bio-concretions in the Mediterranean Sea by the UNEP-MAP-RAC/SPA (2008) 2) the report in the State of knowledge of the geographical distribution of the coralligenous and other calcareous bio-concretions in the Mediterranean by UNEP (2009) 3) projects focussing bioconstructions, their distribution and the driving forces affecting their structure and function A total of 798 scientific documents have been collected, together with 43 shapefiles, 1492 polygons and 641 data points for coralligenous formations, 47 polygons and 124 data points for maërl, and 39 bathymetry maps within the framework of the MEDISEH project. Even though proving information on absence data for both coralligenous and mäerl can be extremely difficult, an attempt has been made and 584 polygons have been included for coralligenous formations and 935 for maërl data. Detailed information for these two habitats is now available on about 15% of the Mediterranean coastal area. Fraschetti, M. Gristina, M. Salomidi, L. Knittweis, M.L. Pace, E. Punzo, A. Belluscio, G. Scarcella, F. Grati, F. De Leo, L. Rizzo, R. Cattaneo-Vietti, P. Povero, A. Cau, C. Piccinetti, V. Valavanis, C. Martin 2013. Coralligenous and mäerl beds distribution along the Mediterranean coasts Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.biologymacroalgaemarineMediterraneanbiotamedisehmaerlmaërlcoalligenousoutcroppolygonvectorHabitats and biotopesurn:ogc:def:crs:EPSG::4326-1.63966238498688 37.052261352539113.4048929214478 42.2407722473145Emodnetbio:mediseh_cymodocea_pntCymodocea nodosa beds distribution (presence points) in the Mediterranean Sea. One of the general objectives of the MEDISEH (Mediterranean Sensitive Habitats) project was to compile historical and current data on seagrass beds. Belluscio A, Panayiotidis P, Gristina M., Knittweis L., Pace M.L.,Telesca L, Criscoli A, Apostolaki ET, Gerakaris V., S. Fraschetti, M. T. Spedicato, G. Lembo, M. Salomidi,R. Mifsud, G. Fabi, F. Badalamenti, G. Garofalo A. Alagna, Ardizzone G.D., Martin C., V. Valavanis 2013. Seagrass beds distribution along the Mediterranean coasts. Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.MEDMediterraneanCymodocea nodosabiologyplantsangiospermmarineseagrassHabitats and biotopesurn:ogc:def:crs:EPSG::4326-5.22415655182084 31.122976606707735.9138022710002 45.7738989895096Dataportal:eurobis-obisenv_basicThe Basic Occurrence Data download provides you data for the following 8 essential terms: datasetid, datecollected, decimallongitude, decimallatitude, coordinateuncertaintyinmeters, scientificname, aphiaid, scientificnameaccepted. For more information, please consult:https://emodnet.ec.europa.eu/en/biology#biology-data-and-products-formatfeatureseurobis_basic-obisenvurn:ogc:def:crs:EPSG::4326-179.9688 -77.0076179.979995727539 90.0Dataportal:eurobis-obisenv_countThe Count of Occurrences retrieves the total number of records available in EMODnet Biology for a certain query. For more information, please consult: https://emodnet.ec.europa.eu/en/emodnet-web-service-documentationfeatureseurobis-obisenv_counturn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 90.0Dataportal:eurobis-obisenv_fullThe Full Occurence Data offers all the data from the Basic Occurrences plus additional information which may help interpret the basic data such as information on the institute collecting the data, the methodology, the exact time and location (and uncertainty),... For more information, please consult: https://www.emodnet-biology.eu/emodnet-data-format.featureseurobis-obisenv_fullurn:ogc:def:crs:EPSG::4326-179.9688 77.0076179.979995727539 90.0Dataportal:eurobis-obisenvThe Full Occurrence Data and Parameters provides you with all measurement or facts associated to the occurrence or the sample. For more information, please consult: https://www.emodnet-biology.eu/emodnet-data-format.featureseurobis-obisenvurn:ogc:def:crs:EPSG::4326-179.9688 -77.0076179.979995727539 90.0Dataportal:eurobis-dnaThe Full Occurrence Data, DNA Data and Parameters provides you with all measurement or facts associated to the occurrence or the sample. For more information, please consult: https://www.emodnet-biology.eu/emodnet-data-format.featureseurobis-dnaurn:ogc:def:crs:EPSG::4326-179.9688 -77.0076179.979995727539 90.0Dataportal:eurobis-dna_fullThe Full Occurence and DNA Data offers all the data from the Basic Occurrences plus DNA Data additional information which may help interpret the basic data such as information on the institute collecting the data, the methodology, the exact time and location (and uncertainty),... For more information, please consult: https://www.emodnet-biology.eu/emodnet-data-format.featureseurobis-dna_fullurn:ogc:def:crs:EPSG::43262.58625 51.1470833.2554 51.676115Dataportal:eurobis_grid_15m-obisenvThe Occurences as Geospatial Grid summarises occurences as the number of occurences in a geospatial grid. This layer summarises the occurences in a 15x15 minute grid. In total, there are four grid size levels available, plus the possibility of retrieving each point directly. For more information, please consult: https://www.emodnet-biology.eu/emodnet-biology-api.featureseurobis_grid_15m-obisenvurn:ogc:def:crs:EPSG::4326-180.0 -82.0180.25 90.0Dataportal:eurobis_grid_1d-obisenvThe Occurences as Geospatial Grid summarises occurences as the number of occurences in a geospatial grid. This layer summarises the occurences in a 1x1 degree grid. In total, there are four grid size levels available, plus the possibility of retrieving each point directly. For more information, please consult: https://www.emodnet-biology.eu/emodnet-biology-api.featureseurobis_grid_1durn:ogc:def:crs:EPSG::4326-180.0 -82.0181.0 90.0Dataportal:eurobis_grid_30m-obisenvThe Occurences as Geospatial Grid summarises occurences as the number of occurences in a geospatial grid. This layer summarises the occurences in a 30x30 minute grid. In total, there are four grid size levels available, plus the possibility of retrieving each point directly. For more information, please consult: https://www.emodnet-biology.eu/emodnet-biology-api.featureseurobis_grid_30m-obisenvurn:ogc:def:crs:EPSG::4326-180.0 -82.0180.5 90.0Dataportal:eurobis_grid_6m-obisenvThe Occurences as Geospatial Grid summarises occurences as the number of occurences in a geospatial grid. This layer summarises the occurences in a 6x6 minute grid. In total, there are four grid size levels available, plus the possibility of retrieving each point directly. For more information, please consult: https://www.emodnet-biology.eu/emodnet-biology-api.featureseurobis_grid_6m-obisenvurn:ogc:def:crs:EPSG::4326-180.0 -82.0180.1 90.0Dataportal:eurobis_points-obisenvThe Occurences as Geospatial Grid summarises occurences as the number of occurences in a geospatial grid. This layer displays the individual points. In total, there are four grid size levels available, plus the possibility of retrieving each point directly. For more information, please consult: https://www.emodnet-biology.eu/emodnet-biology-api.featureseurobis_points-obisenvurn:ogc:def:crs:EPSG::4326-186.208 -1052.41.636325E7 1950639.0Emodnetbio:Species_gridded_abundance_allThis dataproduct consists of a set of gridded map layers showing the average abundance of different species of species groups for different time windows (seasonal, annual or multi-annual as appropriate) using spatial modelling. They cover a wide taxonomic range, from the smallest organisms (e.g. diatoms, flagellates) to the largest ones (e.g. fish, birds, reptiles, mammals), encompassing all trophic levels.fishbirdreptilemammaltrophic levelgriddiatomflagellatedataproductaverageabundancetimeseasonyearSpecies distributionurn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 90.0Emodnetbio:Species_gridded_abundances_10yearThis dataproduct consists of a set of gridded map layers showing the average abundance of different species of species groups for different time windows (seasonal, annual or multi-annual as appropriate) using spatial modelling. They cover a wide taxonomic range, from the smallest organisms (e.g. diatoms, flagellates) to the largest ones (e.g. fish, birds, reptiles, mammals), encompassing all trophic levels.fishbirdreptilemammaltrophic levelgriddiatomflagellatedataproductaverageabundancetimeseasonyearSpecies distributionurn:ogc:def:crs:EPSG::4326-4.55 49.9511.95 61.95Emodnetbio:Species_gridded_abundances_2yearThis dataproduct consists of a set of gridded map layers showing the average abundance of different species of species groups for different time windows (seasonal, annual or multi-annual as appropriate) using spatial modelling. They cover a wide taxonomic range, from the smallest organisms (e.g. diatoms, flagellates) to the largest ones (e.g. fish, birds, reptiles, mammals), encompassing all trophic levels.fishbirdreptilemammaltrophic levelgriddiatomflagellatedataproductaverageabundancetimeseasonyearSpecies distributionurn:ogc:def:crs:EPSG::4326-31.85 35.95-22.85 40.45Emodnetbio:Species_gridded_abundances_3yearThis dataproduct consists of a set of gridded map layers showing the average abundance of different species of species groups for different time windows (seasonal, annual or multi-annual as appropriate) using spatial modelling. They cover a wide taxonomic range, from the smallest organisms (e.g. diatoms, flagellates) to the largest ones (e.g. fish, birds, reptiles, mammals), encompassing all trophic levels.fishbirdreptilemammaltrophic levelgriddiatomflagellatedataproductaverageabundancetimeseasonyearSpecies distributionurn:ogc:def:crs:EPSG::4326-5.45 41.859.85 51.45Emodnetbio:mediseh_halophila_pntHalophila stipulacea beds distribution (presence points) in the Mediterranean Sea. One of the general objectives of the MEDISEH (Mediterranean Sensitive Habitats) project was to compile historical and current data on seagrass beds. Belluscio A, Panayiotidis P, Gristina M., Knittweis L., Pace M.L.,Telesca L, Criscoli A, Apostolaki ET, Gerakaris V., S. Fraschetti, M. T. Spedicato, G. Lembo, M. Salomidi,R. Mifsud, G. Fabi, F. Badalamenti, G. Garofalo A. Alagna, Ardizzone G.D., Martin C., V. Valavanis 2013. Seagrass beds distribution along the Mediterranean coasts. Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.MEDMediterraneanHalophila stipulaceabiologyplantsangiospermmarineseagrassHabitats and biotopesurn:ogc:def:crs:EPSG::432610.8352777777777 31.077611763137835.8056323950001 40.4418768180838Emodnetbio:mediseh_maerl_pntMaërl bed occurrences (point distributions) in the Mediterranean Sea. Data comes from from Coralligenous and mäerl beds distribution along the Mediterranean coasts - Mediterranean Sensitive Habitats (MEDISEH). Information has been derived from three sources: 1) the Action plan for the conservation of the coralligenous and other calcareous bio-concretions in the Mediterranean Sea by the UNEP-MAP-RAC/SPA (2008) 2) the report in the State of knowledge of the geographical distribution of the coralligenous and other calcareous bio-concretions in the Mediterranean by UNEP (2009) 3) projects focussing bioconstructions, their distribution and the driving forces affecting their structure and function A total of 798 scientific documents have been collected, together with 43 shapefiles, 1492 polygons and 641 data points for coralligenous formations, 47 polygons and 124 data points for maërl, and 39 bathymetry maps within the framework of the MEDISEH project. Even though proving information on absence data for both coralligenous and mäerl can be extremely difficult, an attempt has been made and 584 polygons have been included for coralligenous formations and 935 for maërl data. Detailed information for these two habitats is now available on about 15% of the Mediterranean coastal area. Fraschetti, M. Gristina, M. Salomidi, L. Knittweis, M.L. Pace, E. Punzo, A. Belluscio, G. Scarcella, F. Grati, F. De Leo, L. Rizzo, R. Cattaneo-Vietti, P. Povero, A. Cau, C. Piccinetti, V. Valavanis, C. Martin 2013. Coralligenous and mäerl beds distribution along the Mediterranean coasts Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.biologymacroalgaemarineMediterraneanbiotamedisehmaerlmaërlcoalligenousoutcroppointvectordistributionsHabitats and biotopesurn:ogc:def:crs:EPSG::43262.71985194163643 34.675754861000135.834454576 45.6722Emodnetbio:mediseh_maerl_polyMaërl bed occurences (polygons) in the Mediterranean Sea from the dataset Coralligenous and mäerl beds distribution along the Mediterranean coasts - Mediterranean Sensitive Habitats (MEDISEH). Information has been derived from three sources: 1) the Action plan for the conservation of the coralligenous and other calcareous bio-concretions in the Mediterranean Sea by the UNEP-MAP-RAC/SPA (2008) 2) the report in the State of knowledge of the geographical distribution of the coralligenous and other calcareous bio-concretions in the Mediterranean by UNEP (2009) 3) projects focussing bioconstructions, their distribution and the driving forces affecting their structure and function A total of 798 scientific documents have been collected, together with 43 shapefiles, 1492 polygons and 641 data points for coralligenous formations, 47 polygons and 124 data points for maërl, and 39 bathymetry maps within the framework of the MEDISEH project. Even though proving information on absence data for both coralligenous and mäerl can be extremely difficult, an attempt has been made and 584 polygons have been included for coralligenous formations and 935 for maërl data. Detailed information for these two habitats is now available on about 15% of the Mediterranean coastal area. Fraschetti, M. Gristina, M. Salomidi, L. Knittweis, M.L. Pace, E. Punzo, A. Belluscio, G. Scarcella, F. Grati, F. De Leo, L. Rizzo, R. Cattaneo-Vietti, P. Povero, A. Cau, C. Piccinetti, V. Valavanis, C. Martin 2013. Coralligenous and mäerl beds distribution along the Mediterranean coasts Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.biologymacroalgaemarineMediterraneanbiotamedisehmaerlmaërlcoalligenousoutcroppointvectordistributionsHabitats and biotopesurn:ogc:def:crs:EPSG::43261.35282004937332 33.03188579374135.1032721811811 43.1771104698274Emodnetbio:mediseh_posidonia_modelThis dataset is an output of the “Mediterranean Sensitive Habitats” project (MEDISEH). It shows under a raster form modelled spatial distributions of Posidonia oceanica across the Mediterranean Sea. Posidonia oceanica is endemic to the Mediterranean Sea, where it is the dominant seagrass, covering about 50,000 km2 of coastal to offshore sandy and rocky areas down to depths of about 45 m. P. oceanica is a protected species according to EU legislation (Habitat directive), the Bern and Barcelona Conventions and several national legislations. The raster has a spatial resolution of 0.004166 decimal degrees, and the values are in the [0,1] interval (occurrence probabilities).Mediterranean basincoastalmarineblue carbonmodelbiogenic habitatgridMarine habitat mappingHabitats and biotopesurn:ogc:def:crs:EPSG::4326-5.665799 30.26600236.210833 45.792684Emodnetbio:mediseh_coral_modelThis dataset shows modelled spatial distributions of coralligenous outcrops and maërl beds across the Mediterranean Sea. These bioconstructions are typical Mediterranean underwater seascapes, comprising coralline algal frameworks that grow in dim light conditions. They are the result of the building activities of algal and animal constructors, counterbalanced by physical, as well as biological, eroding processes. Because of their extent, biodiversity and production, coralligenous and maërl habitats rank among the most important ecosystems in the Mediterranean Sea, and they are considered of great significance both for fisheries and carbon regulation.Mediterranean basin2014marinemodelbioconstructionbiogenic habitatcoralligenousmäerlmaerlmarine habitat mappinggridHabitats and biotopesurn:ogc:def:crs:EPSG::4326-5.66618707289344 30.266863558632936.2060849504857 45.7862245358287Emodnetbio:mediseh_maerl_modelThis dataset shows modelled spatial distributions of coralligenous outcrops and maërl beds across the Mediterranean Sea. These bioconstructions are typical Mediterranean underwater seascapes, comprising coralline algal frameworks that grow in dim light conditions. They are the result of the building activities of algal and animal constructors, counterbalanced by physical, as well as biological, eroding processes. Because of their extent, biodiversity and production, coralligenous and maërl habitats rank among the most important ecosystems in the Mediterranean Sea, and they are considered of great significance both for fisheries and carbon regulation.Mediterranean basin2014marinemodelbioconstructionbiogenic habitatcoralligenousmäerlmaerlmarine habitat mappinggridHabitats and biotopesurn:ogc:def:crs:EPSG::4326-5.66618707289347 30.266377455585236.2077482373789 45.7848197508306Emodnetbio:OOPS_errorsShapefile containing the error values of the spatial modelling tool DIVA used to calculate the gridded abundance maps of the six most abundant Copepod species from the CPR for different time windows (seasonal, annual) using geospatial modelling.OOPS_errorsfeaturesError valuesSpatial modellingAbundanceCopepodsNorth Atlanitc OceanNorth Seaurn:ogc:def:crs:EPSG::4326-4.95 48.0511.95 62.05Emodnetbio:OOPS_metadataThis file contains the metadata of the OOPS product and includes for each abundance value stored in the OOPS product file information on the scientific name, start and end year of data collection, season, measurement unit and link to the original netCDF file, generated by DIVAOOPS_metadatafeaturesurn:ogc:def:crs:EPSG::4326-1.0 -1.00.0 0.0Emodnetbio:OOPS_productsShapefile containing a set of gridded map layers showing the average abundance of the six most abundant Copepod species from the CPR for different time windows (seasonal, annual) using geospatial modelling. The spatial modelling tool used to calculate the gridded abundance maps is based on DIVA (Data-Interpolating Variational Analysis).featuresOOPS_productsCopepodsAbundanceSpatial modellingBiotaNorth SeaNorth Atlantic Oceanurn:ogc:def:crs:EPSG::4326-4.95 48.0512.25 60.75Emodnetbio:OOPS_products_vlizOOPS_products_vlizfeaturesurn:ogc:def:crs:EPSG::4326-4.95 48.0511.55 62.05Emodnetbio:OOPS_regionsShapefile containing ICES ecoregions and Western Atlantic Hydrographic regions for the development of ICES operational Oceanographic Products and Services.OOPS_regionsfeaturesMarine regionsAtlantic OceanBoundariesurn:ogc:def:crs:EPSG::4326-77.3202788782475 30.267049551395868.5000001347984 90.0000000001Emodnetbio:OOPS_summariesSummary statistics of the data of the OOPS products, providing an average value and standard deviation of the abundance values of the six most dominant Copepod species per regional sea of the North Atlantic Ocean per year per seson.featuresOOPS_summariesAbundanceCopeodsAtlantic regional seasBiotaurn:ogc:def:crs:EPSG::4326-1.0 -1.00.0 0.0Emodnetbio:mediseh_cor_pntCoralligenous outcrop occurrences (point distributions) in the Mediterranean Sea. Data comes from Coralligenous and mäerl beds distribution along the Mediterranean coasts - Mediterranean Sensitive Habitats (MEDISEH). Information has been derived from three sources: 1) the Action plan for the conservation of the coralligenous and other calcareous bio-concretions in the Mediterranean Sea by the UNEP-MAP-RAC/SPA (2008) 2) the report in the State of knowledge of the geographical distribution of the coralligenous and other calcareous bio-concretions in the Mediterranean by UNEP (2009) 3) projects focussing bioconstructions, their distribution and the driving forces affecting their structure and function A total of 798 scientific documents have been collected, together with 43 shapefiles, 1492 polygons and 641 data points for coralligenous formations, 47 polygons and 124 data points for maërl, and 39 bathymetry maps within the framework of the MEDISEH project. Even though proving information on absence data for both coralligenous and mäerl can be extremely difficult, an attempt has been made and 584 polygons have been included for coralligenous formations and 935 for maërl data. Detailed information for these two habitats is now available on about 15% of the Mediterranean coastal area. Fraschetti, M. Gristina, M. Salomidi, L. Knittweis, M.L. Pace, E. Punzo, A. Belluscio, G. Scarcella, F. Grati, F. De Leo, L. Rizzo, R. Cattaneo-Vietti, P. Povero, A. Cau, C. Piccinetti, V. Valavanis, C. Martin 2013. Coralligenous and mäerl beds distribution along the Mediterranean coasts Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.biologymacroalgaemarineMediterraneanbiotamedisehmaerlmaërlcoalligenousoutcroppointvectordistributionsHabitats and biotopesurn:ogc:def:crs:EPSG::4326-4.66237856464225 32.802940000097435.8291752043475 45.6636Emodnetbio:mediseh_cor_polyCoralligenous outcrop occurrences (polygons) in the Mediterranean Sea. Data comes from Coralligenous and mäerl beds distribution along the Mediterranean coasts - Mediterranean Sensitive Habitats (MEDISEH). Information has been derived from three sources: 1) the Action plan for the conservation of the coralligenous and other calcareous bio-concretions in the Mediterranean Sea by the UNEP-MAP-RAC/SPA (2008) 2) the report in the State of knowledge of the geographical distribution of the coralligenous and other calcareous bio-concretions in the Mediterranean by UNEP (2009) 3) projects focussing bioconstructions, their distribution and the driving forces affecting their structure and function A total of 798 scientific documents have been collected, together with 43 shapefiles, 1492 polygons and 641 data points for coralligenous formations, 47 polygons and 124 data points for maërl, and 39 bathymetry maps within the framework of the MEDISEH project. Even though proving information on absence data for both coralligenous and mäerl can be extremely difficult, an attempt has been made and 584 polygons have been included for coralligenous formations and 935 for maërl data. Detailed information for these two habitats is now available on about 15% of the Mediterranean coastal area. Fraschetti, M. Gristina, M. Salomidi, L. Knittweis, M.L. Pace, E. Punzo, A. Belluscio, G. Scarcella, F. Grati, F. De Leo, L. Rizzo, R. Cattaneo-Vietti, P. Povero, A. Cau, C. Piccinetti, V. Valavanis, C. Martin 2013. Coralligenous and mäerl beds distribution along the Mediterranean coasts Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.biologymacroalgaemarineMediterraneanbiotamedisehmaerlmaërlcoalligenousoutcroppointvectordistributionsHabitats and biotopesurn:ogc:def:crs:EPSG::4326-0.654747315096928 33.063335432357335.0962586360078 45.6649931202008Emodnetbio:mediseh_posidonia_absCoastline with real absence information of Posidonia oceanica meadows. One of the general objectives of the MEDISEH (Mediterranean Sensitive Habitats) project was to compile historical and current data on seagrass beds. Belluscio A, Panayiotidis P, Gristina M., Knittweis L., Pace M.L.,Telesca L, Criscoli A, Apostolaki ET, Gerakaris V., S. Fraschetti, M. T. Spedicato, G. Lembo, M. Salomidi,R. Mifsud, G. Fabi, F. Badalamenti, G. Garofalo A. Alagna, Ardizzone G.D., Martin C., V. Valavanis 2013. Seagrass beds distribution along the Mediterranean coasts. Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.MEDMediterraneanPosidonia oceanicabiologyplantsangiospermmarineseagrassHabitats and biotopesurn:ogc:def:crs:EPSG::4326-5.73955200760205 30.718760236323536.214428897906 45.7857511310799Emodnetbio:mediseh_posidonia_nodataCoastline with unknown distribution of Posidonia oceanica meadows. One of the general objectives of the MEDISEH (Mediterranean Sensitive Habitats) project was to compile historical and current data on seagrass beds. Belluscio A, Panayiotidis P, Gristina M., Knittweis L., Pace M.L.,Telesca L, Criscoli A, Apostolaki ET, Gerakaris V., S. Fraschetti, M. T. Spedicato, G. Lembo, M. Salomidi,R. Mifsud, G. Fabi, F. Badalamenti, G. Garofalo A. Alagna, Ardizzone G.D., Martin C., V. Valavanis 2013. Seagrass beds distribution along the Mediterranean coasts. Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.MEDMediterraneanPosidonia oceanicabiologyplantsangiospermmarineseagrassHabitats and biotopesurn:ogc:def:crs:EPSG::4326-2.17980035367841 30.266233795459634.6076704462685 45.4766767770067Emodnetbio:mediseh_posidonia_current_pntCurrent Posidonia oceanica meadows distribution (presence points) in the Mediterranean Sea. One of the general objectives of the MEDISEH (Mediterranean Sensitive Habitats) project was to compile historical and current data on seagrass beds. Belluscio A, Panayiotidis P, Gristina M., Knittweis L., Pace M.L.,Telesca L, Criscoli A, Apostolaki ET, Gerakaris V., S. Fraschetti, M. T. Spedicato, G. Lembo, M. Salomidi,R. Mifsud, G. Fabi, F. Badalamenti, G. Garofalo A. Alagna, Ardizzone G.D., Martin C., V. Valavanis 2013. Seagrass beds distribution along the Mediterranean coasts. Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.MEDMediterraneanPosidonia oceanicabiologyplantsangiospermmarineseagrassHabitats and biotopesurn:ogc:def:crs:EPSG::43263.00340833300004 30.823301591567334.406732706224 45.4707269880164Emodnetbio:mediseh_posidonia_current_shapeCurrent Posidonia oceanica meadows distribution in the Mediterranean Sea. One of the general objectives of the MEDISEH (Mediterranean Sensitive Habitats) project was to compile historical and current data on seagrass beds. Belluscio A, Panayiotidis P, Gristina M., Knittweis L., Pace M.L.,Telesca L, Criscoli A, Apostolaki ET, Gerakaris V., S. Fraschetti, M. T. Spedicato, G. Lembo, M. Salomidi,R. Mifsud, G. Fabi, F. Badalamenti, G. Garofalo A. Alagna, Ardizzone G.D., Martin C., V. Valavanis 2013. Seagrass beds distribution along the Mediterranean coasts. Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.MEDMediterraneanPosidonia oceanicabiologyplantsangiospermmarineseagrassHabitats and biotopesurn:ogc:def:crs:EPSG::4326-5.18010018812167 32.200467767310334.1001108343815 45.672768501839Emodnetbio:mediseh_posidonia_historical_shapeHistorical Posidonia oceanica meadows distribution in the Mediterranean Sea. One of the general objectives of the MEDISEH (Mediterranean Sensitive Habitats) project was to compile historical and current data on seagrass beds. Belluscio A, Panayiotidis P, Gristina M., Knittweis L., Pace M.L.,Telesca L, Criscoli A, Apostolaki ET, Gerakaris V., S. Fraschetti, M. T. Spedicato, G. Lembo, M. Salomidi,R. Mifsud, G. Fabi, F. Badalamenti, G. Garofalo A. Alagna, Ardizzone G.D., Martin C., V. Valavanis 2013. Seagrass beds distribution along the Mediterranean coasts. Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.MEDMediterraneanPosidonia oceanicabiologyplantsangiospermmarineseagrassHabitats and biotopesurn:ogc:def:crs:EPSG::4326-5.22508825283165 35.685930374408719.4899290628674 44.3995849910059Emodnetbio:mediseh_posidonia_historical_pntHistorical Posidonia oceanica meadows distribution (presence points) in the Mediterranean Sea. One of the general objectives of the MEDISEH (Mediterranean Sensitive Habitats) project was to compile historical and current data on seagrass beds. Belluscio A, Panayiotidis P, Gristina M., Knittweis L., Pace M.L.,Telesca L, Criscoli A, Apostolaki ET, Gerakaris V., S. Fraschetti, M. T. Spedicato, G. Lembo, M. Salomidi,R. Mifsud, G. Fabi, F. Badalamenti, G. Garofalo A. Alagna, Ardizzone G.D., Martin C., V. Valavanis 2013. Seagrass beds distribution along the Mediterranean coasts. Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.MEDMediterraneanPosidonia oceanicabiologyplantsangiospermmarineseagrassHabitats and biotopesurn:ogc:def:crs:EPSG::432610.365220939874 31.097545219011535.2761571225822 45.3079002290906Emodnetbio:mediseh_ruppia_c_pntRuppia cirrhosa beds distribution (presence points) in the Mediterranean Sea. One of the general objectives of the MEDISEH (Mediterranean Sensitive Habitats) project was to compile historical and current data on seagrass beds. Belluscio A, Panayiotidis P, Gristina M., Knittweis L., Pace M.L.,Telesca L, Criscoli A, Apostolaki ET, Gerakaris V., S. Fraschetti, M. T. Spedicato, G. Lembo, M. Salomidi,R. Mifsud, G. Fabi, F. Badalamenti, G. Garofalo A. Alagna, Ardizzone G.D., Martin C., V. Valavanis 2013. Seagrass beds distribution along the Mediterranean coasts. Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.MEDMediterraneanRuppia cirrhosabiologyplantsangiospermmarineseagrassHabitats and biotopesurn:ogc:def:crs:EPSG::43260.726282361917948 31.062084919431133.2970991030128 44.5096141401189Emodnetbio:mediseh_ruppia_m_pntRuppia maritima beds distribution (presence points) in the Mediterranean Sea. One of the general objectives of the MEDISEH (Mediterranean Sensitive Habitats) project was to compile historical and current data on seagrass beds. Belluscio A, Panayiotidis P, Gristina M., Knittweis L., Pace M.L.,Telesca L, Criscoli A, Apostolaki ET, Gerakaris V., S. Fraschetti, M. T. Spedicato, G. Lembo, M. Salomidi,R. Mifsud, G. Fabi, F. Badalamenti, G. Garofalo A. Alagna, Ardizzone G.D., Martin C., V. Valavanis 2013. Seagrass beds distribution along the Mediterranean coasts. Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.MEDMediterraneanRuppia maritimabiologyplantsangiospermmarineseagrassHabitats and biotopesurn:ogc:def:crs:EPSG::432610.8181016644514 33.257529281298826.05 41.4168266767333Emodnetbio:mediseh_zostera_m_pntZostera marina beds distribution (presence points) in the Mediterranean Sea. One of the general objectives of the MEDISEH (Mediterranean Sensitive Habitats) project was to compile historical and current data on seagrass beds. Belluscio A, Panayiotidis P, Gristina M., Knittweis L., Pace M.L.,Telesca L, Criscoli A, Apostolaki ET, Gerakaris V., S. Fraschetti, M. T. Spedicato, G. Lembo, M. Salomidi,R. Mifsud, G. Fabi, F. Badalamenti, G. Garofalo A. Alagna, Ardizzone G.D., Martin C., V. Valavanis 2013. Seagrass beds distribution along the Mediterranean coasts. Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.MEDMediterraneanZostera marinabiologyplantsangiospermmarineseagrassHabitats and biotopesurn:ogc:def:crs:EPSG::4326-4.16715370823943 33.077825222093215.357656963319 45.7245106171991Emodnetbio:mediseh_zostera_n_pntZostera noltii beds distribution (presence points) in the Mediterranean Sea. One of the general objectives of the MEDISEH (Mediterranean Sensitive Habitats) project was to compile historical and current data on seagrass beds. Belluscio A, Panayiotidis P, Gristina M., Knittweis L., Pace M.L.,Telesca L, Criscoli A, Apostolaki ET, Gerakaris V., S. Fraschetti, M. T. Spedicato, G. Lembo, M. Salomidi,R. Mifsud, G. Fabi, F. Badalamenti, G. Garofalo A. Alagna, Ardizzone G.D., Martin C., V. Valavanis 2013. Seagrass beds distribution along the Mediterranean coasts. Mediterranean Sensitive Habitats (MEDISEH) Final Report, DG MARE Specific Contract SI2.600741.MEDMediterraneanZostera noltiibiologyplantsangiospermmarineseagrassHabitats and biotopesurn:ogc:def:crs:EPSG::4326-5.42911323637077 31.27682852223735.9138022710002 45.6998542408631Emodnet:reportingareasurn:ogc:def:crs:EPSG::4326-179.9999999999 -87.7999968782533180.0000000001 90.0000000001ETN:stations_projects_ETNfeaturesstations_projects_ETNurn:ogc:def:crs:EPSG::43262.805 51.04076923076924.175 51.685ETN:animalsfeaturesanimalsurn:ogc:def:crs:EPSG::404000-180.0 -90.0180.0 90.0ETN:deploymentsfeaturesdeploymentsurn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 90.0ETN:mystery_tagsmystery_tagsfeaturesurn:ogc:def:crs:EPSG::4326-1.0 -1.00.0 0.0ETN:projectsfeaturesprojectsurn:ogc:def:crs:EPSG::404000-180.0 -90.0180.0 90.0ETN:recieversrecieversfeaturesurn:ogc:def:crs:EPSG::404000-1.0 -1.00.0 0.0ETN:tagsfeaturesETN - Tagsurn:ogc:def:crs:EPSG::404000-1.0 -1.00.0 0.0ETN:stations_ETNurn:ogc:def:crs:EPSG::4326-28.64 3.7551.01 51.76Scheldemonitor:nl_ecol_hfdstructScheldemonitorEcologische hoofdstructuururn:ogc:def:crs:EPSG::289923.292 51.1934.282 51.787Scheldemonitor:ecotopenkaartnoordzeeScheldemonitorEcotopenkaartNoordzeeurn:ogc:def:crs:EPSG::326312.441 51.3256.845 55.757Scheldemonitor:ecotoop2012_bezAn ecotope map of the Lower Sea Scheldt for 2012. It was created based on two fundamental information layers: a physiotope map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.ecotopenkaartZeescheldeecotopenschorrenslikkenecotope mapSea Scheldtecotopessalt marshesmud flatsHabitats and biotopesurn:ogc:def:crs:EPSG::313704.215493119090693 51.1230977757500044.402168862664078 51.37468318848697Scheldemonitor:ecotoop2014_bezAn ecotope map of the Lower Sea Scheldt for 2014 was created based on two fundamental information layers: a physiotope map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.ecotopenkaartfysiotopenkaartgeomorfologische kaartZeescheldeabiotische eenhedenrasterhardzachtsubstraatkleigetijdeschordijkvegetatieslikschorrenslikkenEcotope mapphysiotopic mapgeomorphological mapSea Scheldtabiotic unitsgridhardsoftsubstrateclaytidemarshdykevegetationmudsalt marshesmud flatsHabitats and biotopesurn:ogc:def:crs:EPSG::313704.215493119090693 51.1230977370986044.402168248028673 51.37468318850425Scheldemonitor:ecotoop2015_bezAn ecotope map of the Lower Sea Scheldt for 2015 was created based on two fundamental information layers: a physiotopic map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.ecotopenkaartfysiotopenkaartgeomorfologische kaartZeescheldeabiotische eenhedenrasterhardzachtsubstraatkleigetijdeschordijkvegetatieslikschorrenslikkenEcotope mapphysiotopic mapgeomorphological mapSea Scheldtabiotic unitsgridhardsoftsubstrateclaytidemarshdykevegetationmudsalt marshesmud flatsHabitats and biotopesurn:ogc:def:crs:EPSG::313704.215493119090693 51.12309773979524.402168248028673 51.37468318850425Scheldemonitor:ecotoop2017_bezAn ecotope map of the Lower Sea Scheldt for 2017 was created based on two fundamental information layers: a physiotopic map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.Habitats and biotopesurn:ogc:def:crs:EPSG::313704.215493114773771 51.123097738890854.402168242286467 51.3746831912008Scheldemonitor:ecotoop2018_bezAn ecotope map of the Lower Sea Scheldt for 2018 was created based on two fundamental information layers: a physiotopic map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.Habitats and biotopesurn:ogc:def:crs:EPSG::313704.215493116212773 51.123097740690424.402168236541545 51.37468319030215Scheldemonitor:ecotoop2020_bezAn ecotope map of the Lower Sea Scheldt for 2020 was created based on two fundamental information layers: a physiotopic map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.featuresecotoop2020_bezurn:ogc:def:crs:EPSG::313704.215493113663042 51.1230977577653154.4021682364668315 51.37468309143626Scheldemonitor:ecotoop2021_bezAn ecotope map of the Lower Sea Scheldt for 2021 was created based on two fundamental information layers: a physiotopic map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.featuresecotoop2021_bezurn:ogc:def:crs:EPSG::313704.216539790088857 51.123350600957214.403215934488673 51.37493597118805Scheldemonitor:ecotoop2022_bezAn ecotope map of the Lower Sea Scheldt for 2022 was created based on two fundamental information layers: a physiotopic map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.featuresecotoop2022_bezurn:ogc:def:crs:EPSG::313704.216539791524947 51.123350602756774.403215933052579 51.3749359711881Scheldemonitor:ecotoop2023_bezAn ecotope map of the Lower Sea Scheldt for 2023 was created based on two fundamental information layers: a physiotopic map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.featuresecotoop2023_bezurn:ogc:def:crs:EPSG::313704.216065467845299 51.123350145744764.4032159315302275 51.3749358597131Scheldemonitor:ecotoop1870_1880_bez_bozAn ecotope map of the Sea Scheldt for the period 1870-1880 was created based on two fundamental information layers: a physiotope map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.ecotopenkaartZeescheldeecotopenschorrenslikkenecotope mapSea Scheldtecotopessalt marshesmud flatsurn:ogc:def:crs:EPSG::313703.7403493330394926 50.992219514138734.400953728266932 51.37588073776976Scheldemonitor:ecotoop1930An ecotope map of the Sea Scheldt for 1930 was created based on two fundamental information layers: a physiotopic map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.ecotopenkaartZeescheldeecotopenschorrenslikkenEcotope mapSea Scheldtecotopessalt marshesmud flatsurn:ogc:def:crs:EPSG::313703.741126114429485 50.992223584769354.420770778547633 51.37590984532985Scheldemonitor:ecotoop1960An ecotope map of the Sea Scheldt for 1960 was created based on two fundamental information layers: a physiotopic map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.ecotopenkaartZeescheldeecotopenschorrenslikkenEcotope mapSea Scheldtecotopessalt marshesmud flatsHabitats and biotopesurn:ogc:def:crs:EPSG::313703.74121073049175 50.992223961994094.4207697023074735 51.37497885964885Scheldemonitor:ecotoop2001An ecotope map of the Sea Scheldt for 2001 was created based on two fundamental information layers: a physiotope map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.ecotopenkaartZeescheldeecotopenschorrenslikkenecotope mapSea Scheldtecotopessalt marshesmud flatsurn:ogc:def:crs:EPSG::313703.7415288924830046 50.9921116691121554.420055635650248 51.37467121881889Scheldemonitor:ecotoop2010An ecotope map of the Sea Scheldt for 2010 was created based on two fundamental information layers: a physiotopic map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.ecotopenkaartZeescheldeecotopenschorrenslikkenEcotope mapSea Scheldtecotopessalt marshesmud flatsHabitats and biotopesurn:ogc:def:crs:EPSG::313703.7415288924830046 50.9921116727076864.420055635650248 51.37467121881889Scheldemonitor:ecotoop2013An ecotope map of the Sea Scheldt for 2013 was created based on two fundamental information layers: a physiotope map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.ecotopenkaartZeescheldeecotopenschorrenslikkenecotope mapSea Scheldtecotopessalt marshesmud flatsHabitats and biotopesurn:ogc:def:crs:EPSG::313703.74152232031741 50.9921059133731164.420055650234398 51.3746714147467Scheldemonitor:ecotoop2016These maps were constructed based on the descriptions given in Van Braeckel et al. (2012), as well as earlier MONEOS reports. The ecotope map the result of the merger of two separate layers, being an fysiotopic and a geomorphologic layer. The maps of the lower Sea Scheldt, upper Sea Scheldt, Rupel and Durme were actualised in 2016. The geomorphologic layer is a polygon map that was actualized in 2016 using ARCGIS, based on 'false colour' imagery from the lower Sea Scheldt (source: nv De Vlaamse Waterweg) and 'true colour' orthoimagery from the upper Sea Scheldt, Rupel and Durme. Because the time at which the images were collected does not precisely match low tide, interpretation of the substrate in low lying areas has also been done based on 'true colour' orthoimagery from march 2017 (source: GDI-Vlaanderen AGIV), as well as field observations and digital height models.ecotopenkaartfysiotopenkaartgeomorfologische kaartZeescheldeabiotische eenhedenrasterhardzachtsubstraatkleigetijdeschordijkvegetatieslikschorrenslikkenEcotope mapphysiotopic mapgeomorphological mapSea Scheldtabiotic unitsgridhardsoftsubstrateclaytidemarshdykevegetationmudsalt marshesmud flatsHabitats and biotopesurn:ogc:def:crs:EPSG::313703.717037653729885 50.991999591739644.420055651670392 51.37467141474606Scheldemonitor:ecotoop2019An ecotope map of the Sea Scheldt, Rupel & Durme for 2019 was created based on two fundamental information layers: a physiotopic map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.Habitats and biotopesurn:ogc:def:crs:EPSG::313703.7170376508327907 50.9919904213685344.420053679957175 51.374671417424544Scheldemonitor:ecotoop2022_boz_rupdurAn ecotope map of the Upper Sea Scheldt, Rupel and Durme for 2022 was created based on two fundamental information layers: a physiotopic map and a geomorphological map. Ecotope maps are used to follow up the evolution of the diversity of habitats.featuresecotoop2022_boz_rupdururn:ogc:def:crs:EPSG::313703.721513110821626 50.9922434303603044.420821446998882 51.128272125899215Paardenmarkt:ertprofiles_2021Marine and land ERT profiles near the dumpsite (2019). Purple = land profiles; red = high-tide marine profiles; light yellow = low-tide marine profiles. Data acquisition by UGhent.featuresertprofiles_2021urn:ogc:def:crs:EPSG::43263.239896297454834 51.344978332519533.293924331665039 51.367591857910156MarineRegions:eca_reg13_noxPolygon data representing the Emission Control Areas (ECAs) designated under regulation 13 of MARPOL Annex VI (NOx emission control). The outline coordinates were processed in June 2019. The coastline was extracted from the ESRI Countries 2014. Available ECAs: 1) North American area (regulation 13.6.1 and appendix VII of MARPOL Annex VI); 2) United States Caribbean sea area (regulation 13.6.2 and appendix VII of MARPOL Annex VI) Preferred citation: Flanders Marine Institute (VLIZ), Belgium; (2020). Emission Control Areas (ECAs) designated under regulation 13 of MARPOL Annex VI (NOx emission control). Available online at http://www.marineregions.org/. https://doi.org/10.14284/396featureseca_reg13_noxurn:ogc:def:crs:EPSG::4326-164.347427368164 15.3970518112183-47.2022933959961 61.7791175842285MarineRegions:eca_reg14_sox_pmPolygon data representing the Emission Control Areas (ECAs) designated under regulation 14 of MARPOL Annex VI (SOx and particulate matter emission control). The outline coordinates were processed in June 2019. The coastline was extracted from the ESRI Countries 2014. Available ECAs: 1) Baltic Sea area (regulation 14.3.1 of MARPOL Annex VI and regulation 1.11.2 of MARPOL Annex I); 2) North Sea area (regulation 14.3.1 of MARPOL Annex VI and regulation 1.14.6 of MARPOL Annex V); 3) North American area (regulation 14.3.2 and appendix VII of MARPOL Annex VI); 4) United States Caribbean sea area (regulation 14.3.3 and appendix VII of MARPOL Annex VI) Preferred citation: Flanders Marine Institute (VLIZ), Belgium; (2020). Emission Control Areas (ECAs) designated under regulation 14 of MARPOL Annex VI (SOx and particulate matter emission control). Available online at http://www.marineregions.org/. https://doi.org/10.14284/397featureseca_reg14_sox_pmurn:ogc:def:crs:EPSG::4326-164.737411499023 15.369774818420431.1842136383057 67.2617950439453Kustportaal:werkzaamheid_19Evolution of the employment and unemployment rate in the coastal and hinterland municipalities. Source: WSE Support Centre, Processing: Department of DSA POM West FlandersPopulation distribution and demographyurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043Dataportal:eurobis_aggregatedFor Dataportalfeatureseurobis_aggregatedurn:ogc:def:crs:EPSG::4040000.0 0.01.0 1.0Dataportal:eurobis_countriesFor dataportalfeatureseurobis_countriesurn:ogc:def:crs:EPSG::4040000.0 0.01.0 1.0Dataportal:eurobis_datasourcesFor dataportalfeatureseurobis_datasourcesurn:ogc:def:crs:EPSG::4040000.0 0.01.0 1.0Dataportal:eurobis_dataoriginsfeatureseurobis_dataoriginsurn:ogc:def:crs:EPSG::4040000.0 0.01.0 1.0Dataportal:eurobis_datasetsFor dataportalfeatureseurobis_datasetsurn:ogc:def:crs:EPSG::4040000.0 0.01.0 1.0Dataportal:eurobis_geoobject_regionFor dataportalfeatureseurobis_geoobject_regionurn:ogc:def:crs:EPSG::4040000.0 0.01.0 1.0Dataportal:eurobis_geoobjectsFor Dataportalfeatureseurobis_geoobjectsurn:ogc:def:crs:EPSG::4040000.0 0.01.0 1.0Europe:europe_nuts_l0_2013featureseurope_nuts_l0_2013urn:ogc:def:crs:EPSG::4258-63.153455 -21.38730949935864755.8366285 71.18531800042487Europe:europe_nuts_l1_2013europe_nuts_l1_2013featuresurn:ogc:def:crs:EPSG::4258-61.80957999999999 -21.38730949935864755.8366285 71.18531800042487Europe:europe_nuts_l2_2013europe_nuts_l2_2013featuresurn:ogc:def:crs:EPSG::4258-63.153455 -21.38730949935864755.8366285 71.18531800042487Europe:europe_nuts_l3_2013featureseurope_nuts_l3_2013urn:ogc:def:crs:EPSG::4258-63.153455 -21.38730949935864755.8366285 71.18531800042487World:europe_quadrants_20150805featureseurope_quadrants_20150805NNorthEEastSSouthWWestBearingurn:ogc:def:crs:EPSG::4258-180.0 34.8005330549714180.0 81.85913085893797Europe:europecountriesEurope Countries represents the countries of Europe.Europeeuropecountriesurn:ogc:def:crs:EPSG::4326-31.272 27.63768.716 81.86Europe:europemajorriversEurope Water contains other rivers/lakes for Europe.europemajorriversEuropeurn:ogc:def:crs:EPSG::4326-20.665 36.31764.22 70.433Europe:ermsThe area covered by the European Register of Marine Species (ERMS) is all the continental shelf seas of Europe, from the Canaries and Azores to Greenland and north west Russia, including the Mediterranean shelf and Baltic Seas.ermsEuropeurn:ogc:def:crs:EPSG::4326-45.0 26.070.0 90.0Lifewatch:eu_eprtrfacilitieshttp://www.eea.europa.eu/data-and-maps/data/member-states-reporting-art-7-under-the-european-pollutant-release-and-transfer-register-e-prtr-regulation-10eu_eprtrfacilitiesfeaturesurn:ogc:def:crs:EPSG::4326-63.0765173359999 -21.29988136655.6471775160001 70.8955841000001Europe:europeislandsEuropese eilandeneilandengeografieurn:ogc:def:crs:EPSG::4326-31.264 27.63768.716 81.86Europe:europemajorwaterEuropawaterlichamenwaterlopenurn:ogc:def:crs:EPSG::4326-21.313 36.56864.705 69.365Europe:europe_prov1_2008provincieseuropese provinciesgeografieurn:ogc:def:crs:EPSG::4326-31.272 27.63768.716 81.86Europe:europe_25kmCreated by VLIZbased on EEA reference grids 10K & 100Kvector datapolygonurn:ogc:def:crs:EPSG::3035-130.61313610916727 18.798103941764072111.80202430573829 90.0Morocco:nightsandarrivalsEvolution of nights and arrival of tourists in the city of Al Hoceima (2000-2012)featuresnightsandarrivalsurn:ogc:def:crs:EPSG::4326-3.96931791305542 35.213264465332-3.91575646400452 35.265209197998Kustportaal:bevolkingsevolutie_14Evolution of the population in the coastal area (coastal municipalities + hinterland municipalities). Source: rijksregister, processed by the province of West FlandersPopulation distribution and demographyurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043Scheldemonitor:inv_s09_wgsSealsurn:ogc:def:crs:EPSG::43263.478 51.3584.142 51.907MarineRegions:eezVersion 12 of the Exclusive Economic Zones from the VLIZ Maritime Boundaries Geodatabase. An exclusive economic zone (EEZ) is a seazone extending from a state's coast or baseline over which the state has special rights over the exploration and use of marine resources. Generally a state's EEZ extends 200 nautical miles out from its coast, except where resulting points would be closer to another country. This dataset also contains delimitation of disputed areas and joint regimes.territorial seascontiguous zonemarine regionsWorld Oceansmarineexclusive economic zoneslaw of the seaterritorial watersworld oceansarchipelagic watersinternal watersboundariesAdministrative unitsurn:ogc:def:crs:EPSG::4326-180.0 -62.78834217149148180.0 86.99400535016684Kustportaal:elektrickabelsThe position of the export cables between the offshore wind farms in the BNS and the main land.elektriciteitelectricitycablekabelEnergy resourcesUtility and governmental servicesurn:ogc:def:crs:EPSG::43262.81726523047261 51.24265361400013.17587812250701 51.6946858996444MarineRegions:ecsThis dataset represents the legal continental shelves beyond 200 nautical miles as submitted to/recommended by the Commission on the Limits of the Continental Shelf (CLCS), deposited to the Division for Ocean Affairs and the Law of the Sea (DOALOS) or claimed by (a) a Non-Party State to UNCLOS or (b) a Party State to UNCLOS through mechanisms other than a submission to the Commission on the Limits of the Continental Shelf (CLCS) or a deposit to the Division for Ocean Affairs and the Law of the Sea (DOALOS). In the Maritime Boundaries Geodatabase, Marine Regions makes available most of the maritime areas defined in the Law of the Sea Convention: Exclusive Economic Zones (EEZ), Territorial Seas (TS), Contiguous Zones (CZ), Internal Waters (IW), Archipelagic Waters (AW) and High Seas (HS).featuresecsurn:ogc:def:crs:EPSG::4326-180.0 -64.03206072222224180.0 90.0MarineRegions:ecs_boundariesThis dataset represents the legal continental shelves beyond 200 nautical miles as submitted to/recommended by the Commission on the Limits of the Continental Shelf (CLCS), deposited to the Division for Ocean Affairs and the Law of the Sea (DOALOS) or claimed by (a) a Non-Party State to UNCLOS or (b) a Party State to UNCLOS through mechanisms other than a submission to the Commission on the Limits of the Continental Shelf (CLCS) or a deposit to the Division for Ocean Affairs and the Law of the Sea (DOALOS). In the Maritime Boundaries Geodatabase, Marine Regions makes available most of the maritime areas defined in the Law of the Sea Convention: Exclusive Economic Zones (EEZ), Territorial Seas (TS), Contiguous Zones (CZ), Internal Waters (IW), Archipelagic Waters (AW) and High Seas (HS).featuresecs_boundariesurn:ogc:def:crs:EPSG::4326-180.0 -64.0320607222222180.0 89.15300934509831Kustportaal:ontginintensiteit_03Extraction volumes per sector. Source: FPS EconomyGeologyurn:ogc:def:crs:EPSG::43262.43394041061401 51.2300949096683.0600893497467 51.6817665100098MarineRegions:fadaregionsurn:ogc:def:crs:EPSG::4326-180.0 -89.9909382921417180.0 89.9913526236322MarineRegions:faoFAO 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. Purpose: 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.FAOFIGISfisheryfisheriesfishing areasocean managementresource managementFAO area (theme)World (place)Area management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::4326-180.0 -85.4702911376953180.0 89.8999862670898Morocco:fishlandingsFish landings at Al Hoceima port (1983-2012)featuresfishlandingsPEGASOAl HoceimaMoroccofishlandingsporturn:ogc:def:crs:EPSG::4326-3.9221600000000003 35.24827-3.92196 35.248470000000005Kustportaal:overstroming_7mtawThe potential floodable area and the corresponding water depth in the event of a 1,000-year storm surge on the coast, calculated based on the situation (i.e. coastal protection measures) in the year 2015. A 1,000-year storm surge is a storm surge that has one chance in 1,000 of occurring each year. (Source: Agency for Maritime Services and Coast, Coastal division).Flood mapTAWflood riskcoastal plainHuman health and safetyurn:ogc:def:crs:EPSG::43262.524736473339 50.9001689386113.4608641829882 51.3800162358952Kustportaal:bathy_vliz_bpnsThis layer contains the footprints of bathymetric surveys performed by VLIZ in the period 2012-2022 in the Belgian part of the North Sea. The bathymetric data gathered during these surveys is available for download in the Marine Data Archive (mda.vliz.be). For more information on the data acquisition, contact infrastructuur@vliz.be. For access to MDA, contact data@vliz.be.bathymetrybpnsElevationurn:ogc:def:crs:EPSG::43261.36713454458593 51.0131258464964363.353837652020116 51.7952531702943Kustportaal:bathy_vliz_wrecksThis layer contains the footprints of bathymetric surveys of shipwrecks performed by VLIZ in the period 2012-2018 in the Belgian part of the North Sea. The bathymetric data gathered during these surveys is available for download in the Marine Data Archive (mda.vliz.be). For more information on the data acquisition, contact infrastructuur@vliz.be. For access to MDA, contact data@vliz.be.bathymetrybpnswrecksElevationurn:ogc:def:crs:EPSG::43262.29905414581299 51.13272857666023.2066535949707 51.8241233825684MarineRegions:tnc_wwf_feow_hydroshedsThe freshwater ecoregion map encompasses 426 units, whose boundaries generally – though not always – correspond with those of watersheds (also known as drainage basins or catchments). Within individual ecoregions there will be turnover of species, such as when moving up or down a river system, but taken as a whole an ecoregion will typically have a distinct evolutionary history and/or ecological processes. Ecoregions are delineated based on the best available information, but data describing freshwater species and ecological processes are characterized by marked gaps and variation in quality, and improved information in the future may warrant map revisions. Downloaded from https://www.feow.org on 2022-05-11. Changelog: added MRGID, validated geometry. Copyright 2008 by The Nature Conservancy and World Wildlife Fund, Inc. All Rights Reserved.featurestnc_wwf_feow_hydroshedsurn:ogc:def:crs:EPSG::4326-180.0 -55.98750000000001179.99999999999162 83.6249999999996NorthSea:geans_datasetsSustainable use and management of marine resources is key for good ecosystem health. Monitoring for ecosystem health assessments is currently based on morphological species identification, which is time-consuming, labor-intensive and skills reliant. DNA-based tools promise cheaper, faster and more accurate methods, yet, different approaches between countries are used which hamper standard routine application. The Interreg NSR project GEANS, therefore aims to: 1. Develop joint time- and cost-reducing genetic monitoring tools that feed into existing indicators to assess North Sea ecosystem health 2. Implement standardized genetic tools and SOPs in routine biological assessments 3. Develop a framework to apply and implement DNA-based tools in policy and transnational management of the North Sea Region. Set-up of an open DNA sequence library, linking DNA to species, will guarantee continuity of traditional assessment series. Real time pilot studies, in close cooperation with managers, policymakers and involved stakeholders, will deliver proof of concept on the added value of genetic approaches in environmental health management. These pilots cover environmental impact assessments (EIAs) for human activities (renewable energy, aquaculture and aggregate dredging) and environmental monitoring for e.g. non-indigenous species (NIS) in the framework of EU directives (MSFD and Natura2000). The data generated within the different pilots will feed into biotic indicators to translate the outputs into simple information needed by national authorities to make sound management decisions. Sustainable use and management of the North Sea Region (NSR) natural resources remains a grand challenge. The NSR has a rich and diverse natural environment delivering many ecosystem goods and services to society, such as food provision, coastal protection and climate regulation. Stimulated by the EU Blue Growth Agenda, human use of the NS is increasing and diversifying. Both new and existing activities contribute to employment and economic welfare, but they also increase the pressure on the marine environment, thereby threatening ecosystem health (e.g. transport, renewable energy, exploitation of living and mineral resources, introduction of non-indigenous species). To conserve and improve NSR ecosystem health, proper management measures need to be taken, which depend on fast and accurate monitoring. This map contains all pilot data sets that were generated during the GEANS project from 2019 until 2023. Information derived from these sources should be referred to as “Source: Interreg GEANS project” when used by third parties.featuresgeans_datasetsurn:ogc:def:crs:EPSG::43260.180495 51.23425211.800658 57.671964NorthSea:geans_partnersSustainable use and management of marine resources is key for good ecosystem health. Monitoring for ecosystem health assessments is currently based on morphological species identification, which is time-consuming, labor-intensive and skills reliant. DNA-based tools promise cheaper, faster and more accurate methods, yet, different approaches between countries are used which hamper standard routine application. The Interreg NSR project GEANS, therefore aims to: 1. Develop joint time- and cost-reducing genetic monitoring tools that feed into existing indicators to assess North Sea ecosystem health 2. Implement standardized genetic tools and SOPs in routine biological assessments 3. Develop a framework to apply and implement DNA-based tools in policy and transnational management of the North Sea Region. Set-up of an open DNA sequence library, linking DNA to species, will guarantee continuity of traditional assessment series. Real time pilot studies, in close cooperation with managers, policymakers and involved stakeholders, will deliver proof of concept on the added value of genetic approaches in environmental health management. These pilots cover environmental impact assessments (EIAs) for human activities (renewable energy, aquaculture and aggregate dredging) and environmental monitoring for e.g. non-indigenous species (NIS) in the framework of EU directives (MSFD and Natura2000). The data generated within the different pilots will feed into biotic indicators to translate the outputs into simple information needed by national authorities to make sound management decisions. Sustainable use and management of the North Sea Region (NSR) natural resources remains a grand challenge. The NSR has a rich and diverse natural environment delivering many ecosystem goods and services to society, such as food provision, coastal protection and climate regulation. Stimulated by the EU Blue Growth Agenda, human use of the NS is increasing and diversifying. Both new and existing activities contribute to employment and economic welfare, but they also increase the pressure on the marine environment, thereby threatening ecosystem health (e.g. transport, renewable energy, exploitation of living and mineral resources, introduction of non-indigenous species). To conserve and improve NSR ecosystem health, proper management measures need to be taken, which depend on fast and accurate monitoring. This map contains all partners sets that were involved in the GEANS project from 2019 until 2023. Information derived from these sources should be referred to as “Source: Interreg GEANS project” when used by third parties.featuresgeans_partnersurn:ogc:def:crs:EPSG::43260.180495 51.23333814.560646 67.289389World:abyssalprovincesThe abyssal provinces are separated by mid-ocean ridges and other bathyal topography creating deep basins and/or are distinguished by varying levels of POC flux to the seafloor. Source: Watling, L.; Guinotte, J.; Clark, M.R.; Smith, C.R. (2013). A proposed biogeography of the deep ocean floor. Prog. Oceanogr. 111: 91-112. hdl.handle.net/10.1016/j.pocean.2012.11.003 In: Progress in Oceanography. Pergamon: Oxford. ISSN 0079-6611featuresabyssalprovincesAbyssalProvincesurn:ogc:def:crs:EPSG::4326-180.0 -76.2541666666667180.0 88.1708333333334World:lowerbathyalprovincesThe lower bathyal includes both the slopes of continents as well as ridges, island slopes, and several thousand seamounts, about half of which extend upward into the bathyal zone (Clark et al., 2011). Source: Watling, L.; Guinotte, J.; Clark, M.R.; Smith, C.R. (2013). A proposed biogeography of the deep ocean floor. Prog. Oceanogr. 111: 91-112. hdl.handle.net/10.1016/j.pocean.2012.11.003 In: Progress in Oceanography. Pergamon: Oxford. ISSN 0079-6611lowerbathyalprovincesfeaturesLowerBathyalProvincesurn:ogc:def:crs:EPSG::4326-180.0 -78.2875180.0 89.5791666666667MarineRegions:gsas_mediterraneanfishingzonesurn:ogc:def:crs:EPSG::4258-5.59999990463257 30.26622199917821441.77952800000009 47.28955599905991Kustportaal:gasleidingenThe position of the gas pipes on the BNS. - The Sea Pipe is the connection between the Gassco AS-terminal in the port of Zeebrugge and a pipeline on the Norwegian shelf - The Interconnector pipeline transports gas between Bacton (south coast of the UK) and Zeebrugge. -The Franpipe pipeline (former Norfra pipeline) transports gas between Dunkirk (France) and the Norwegian Draupner E-platform. Source: Heylen, B., Moerman, D., Mouffe, L., De Maeyer, J., Mathys, P., Rumes, B., Devriendt, C., Weijtens, W., Dauwe, S., Pirlet, H. (2018). Energy (including cables and pipes). In: Devriese, L., Dauwe, S., Verleye, T., Pirlet, H., Mees, J. (Eds.) Knowledge Guide Coast and Sea - Compendium for Coast and Sea.gasleidingpipelineEnergy resourcesUtility and governmental servicesurn:ogc:def:crs:EPSG::43262.364502 51.2780013.2362 51.803321Scheldemonitor:morfologischekaartThe geomorphological map contains the enclosing polygons of places with similar soil forms. Geomorphological map based on the analysis of multibeam bathymetric data on soil structures and their classification according to length and height of the soil forms. The map is subdivided into the following classes: slopes, little cliffs, large dunes, small to medium-sized dunes, irregular bottom structure (dredge material, abrasion), dredging tracks and soil surface without structure.featuresmorfologischekaarturn:ogc:def:crs:EPSG::43264.13262462615967 51.11882781982424.40296125411987 51.4018898010254MarineRegions:longhurstThe dataset represents the division of the world oceans into provinces as defined by Longhurst (1995; 1998; 2006). The division has been based on the prevailing role of physical forcing as a regulator of phytoplankton distribution. The dataset contains the initial static boundaries developed at the Bedford Institute of Oceanography, Canada. Note that the boundaries of these provinces are not fixed in time and space, but are dynamic and move under seasonal and interannual changes in physical forcing. At the first level of reduction, Longhurst recognised four principal biomes: the Polar biome, the Westerlies biome, the Trade winds biome, and the Coastal biome. These four biomes are recognised in every major ocean basin. At the next level of reduction, the ocean basins are divided into provinces, roughly ten for each basin. These regions provide a template for data analysis or for making parameter assignments on a global scale. Please refer to Longhurst's publications when using these shapefiles.worldoceansecologicalbiogeochemicallonghurstprovincesboundariesdownloadable databiotaenvironmentStatistical unitsurn:ogc:def:crs:EPSG::4326-179.998565673828 -78.5179.989791870117 89.8992004394531World:worldglwd1The global lakes and wetlands database GLWD has been developed in partnership with the Center for Environmental Systems Research, University of Kassel, Germany. It is available for download as three separate ArcView layers (two polygon shapefiles and one grid). The first level comprises shoreline polygons of 3067 of the largest lakes (>=50 km2) and 654 of the largest reservoirs (storage capacity >=0.5 km3) worldwide.Worldworldglwd1urn:ogc:def:crs:EPSG::4326-178.871 -54.606179.995 81.982MarineRegions:goasGlobal Oceans and Seas represents the boundaries between the 10 main oceans and seas (Arctic Ocean, North and South Atlantic Ocean, North and South Pacific Ocean, Southern Ocean, Indian Ocean, Baltic Sea, Mediterranean Region, South China and Eastern Archipelagic Seas). The boundaries are largely based on the publication 'Limits of Oceans & Seas, Special Publication No. 23', published by the IHO in 1953. The dataset is available in World Geodetic System of 1984 (WGS84).worldworld oceansboundariesoceansseasdownloadable databoundariesoceansOceanographic geographical featuresurn:ogc:def:crs:EPSG::4326-181.800003051758 -86.440315246582181.800003051758 90.8778228759766World:cdsContourites are sedimentary units which are deposited or substantially reworked by alongslope bottom currents. They refer to the lithological unit and the terminology reflects the grain size of the sediment. Drifts refer to the same sedimentary unit as a contourite, but the word 'drift' reflects the morphological appearance of the sedimentary unit. Their terminology reflects the external shape, and the internal shape, which is determined by seismography. If drifts are clustered into a local area of certain size, we call the clustered sediment group a Contourite Depositional System (CDS). These sedimentary units are generally, but not exclusively, found in the deep sea (>2000m depth). They are a useful tool for determining paleoceanic and paleoclimatic changes, since their distribution is linked to bottom currents. They have gained interest from the hydrocarbon industry, since accumulation of source rocks may be influenced by bottom currents. Slope instability is also an area of interest for further research. Source methodology: For acquisition of the resulting information, several hundreds of papers on the relevant subject were read. Firstly, abstracts, introductions and conclusions were read for a general view on the article. Then further reading on the relevant chapters provided the presented information. In 2013, 166 records with the place type Drift were added to the Marine Gazetteer. These are linked to one of the 24 Contourite Depositional Systems, if they make part of such a system. Each drift is also influenced by a water mass or current. This water mass or current determines the sedimentation, erosion and movements of these sediments. In 2014, the list was extended with 81 records of the place type Drift. No Contourite Depositional Systems were added. The search process was identical to 2013, only this time a summary paper was the starting point (Rebesco et al., 2014). In this publication, the major drifts were listed with their most relevant sources along with them. These listed sources were then sought after and read. Not all papers were accessible at the time of this process, and thus it is advised to read these publications in the future as well.contouritecontouritessedimentlithologycontourite depositional systemcdsdriftGeologyurn:ogc:def:crs:EPSG::4326-59.616096496582 -58.9154663085938172.88249206543 65.8052368164062Kustportaal:overheidsuitgaven_13Government spending in Flemish ports in euro. Source: Merckx, J.P. (2020). Zeehavens en luchthavens in Vlaanderen. Feiten, statistieken en indicatoren voor 2019. Mobiliteitsraad van Vlaanderen: Brussel. 195 pp.Transport networksurn:ogc:def:crs:EPSG::43262.83020520210266 50.97754669189454.50626516342163 51.3796577453613Emodnetbio:grey_sealThese grid data were derived from National Parks and Wildlife Service cetacean surveys within the Irish MSFD area and the EEA-10km GRID. The grid shows the current distribution of Grey seal (Halichoreus grypus) in Irish coastal and marine waters. The data were collected for the purposes of 2019 reporting under Article 17 of the EU Habitats Directive.Species distributionSpecies distributionurn:ogc:def:crs:EPSG::4326-10.782374382019 51.3417510986328-5.83586025238037 55.5402717590332World:geogridWorld Named Latitudes and Longitudes represents geographically significant reference latitudes and longitudes for the world such as the equator, tropics, Arctic and Antarctic Circles, prime meridian, and International Date Line.geogridWorldurn:ogc:def:crs:EPSG::4326-180.0 -89.498180.0 89.498HistorischeKaarten:hk_referentiepuntenurn:ogc:def:crs:EPSG::43260.708498928965328 50.29085617314426.11335369170698 53.4700164063848World:gulf_of_maineThe area covered by the registry of marine species for the Gulf of Maine includes- waters of the Gulf of Maine, Georges Bank, and surrounding continental slope to ~1000 m, from the Halifax line in the east to waters off southern Cape Cod in the west (up to Nantucket Shoals). The area also includes the Bay of Fundy.featuresgulf_of_maineurn:ogc:def:crs:EPSG::4326-71.0978499572984 39.6492311897394-62.2828726357905 46.0240500627336Scheldemonitor:scheldtswalesGullies in the Western Scheldt.ScheldediepbathymetrieScheldtswalesbathymetryurn:ogc:def:crs:EPSG::43263.593 51.3374.262 51.444MarineRegions:haedatgrids_polygonfeatureshaedatgrids_polygonurn:ogc:def:crs:EPSG::4326-180.018417358398 -48.3181838989258180.836410522461 46.2548828125MarineRegions:high_seasHigh Seas from the VLIZ Maritime Boundaries Geodatabase. The United Nations Convention on the Law of the Sea describes the high seas as ‘all parts of the sea that are not included in the exclusive economic zone, in the territorial sea or in the internal waters of a State, or in the archipelagic waters of an archipelagic State.’ In the Maritime Boundaries Geodatabase, Marine Regions makes available most of the maritime areas defined in the Law of the Sea Convention: Exclusive Economic Zones (EEZ), Territorial Seas (TS), Contiguous Zones (CZ), Internal Waters (IW), Archipelagic Waters (AW) and High Seas (HS). Flanders Marine Institute (2024). Maritime Boundaries Geodatabase: High Seas, version 2. Available online at https://www.marineregions.org/. https://doi.org/10.14284/696 Methodology: https://www.marineregions.org/eezmethodology.phpfeatureshigh_seasurn:ogc:def:crs:EPSG::4326-180.0 -85.56249999977513180.0 90.0NorthSea:bathymlineNorthSeabathymlineurn:ogc:def:crs:EPSG::43260.372 50.5198.677 57.155Kustportaal:vakantieparken_20180828Information about the holiday parks in Flanders. Adapted version 2 as a result of the new Accommodation Decree.vakantieparkenvacation parkslogiesaccommodationLand useurn:ogc:def:crs:EPSG::43262.69761729240417 51.07792663574225.51865673065186 51.282772064209Kustportaal:vakantieparken_20191210Information about the holiday parks in Flanders. Adapted version 2 as a result of the new Accommodation Decree.vakantieparkenvacation parkslogiesaccommodationLand useurn:ogc:def:crs:EPSG::313702.6920704549810632 50.908202390797525.620056533452583 51.289781750069324Kustportaal:hotels_20180813Hotels in Flanders & Brussels with address information, contact information, facilities, prices, product descriptions and labels that can be assigned to these products. These are characteristics or attributes that may be of interest to the tourist. Adapted version 2 as a result of the new Accommodation Decree.hotelsaccommodationlogiesbookingreserveringhotelLand useurn:ogc:def:crs:EPSG::43262.54347681999207 50.70083618164065.89221477508545 51.4709968566895Kustportaal:hotels_20191209Hotels in Flanders & Brussels with address information, contact information, facilities, prices, product descriptions and labels that can be assigned to these products. These are characteristics or attributes that may be of interest to the tourist. Adapted version 2 as a result of the new Accommodation Decree.hotelsaccommodationlogiesbookingreserveringhotelLand useurn:ogc:def:crs:EPSG::313702.528596142326677 50.688816039114945.915777767321874 51.47148992330623Morocco:hydro_networkHydrologic Network - Al Hoceima CASE - PEGASOprojectfeatureshydro_networkurn:ogc:def:crs:EPSG::4326-4.42241287231445 34.7303085327148-3.63857412338257 35.2871437072754MarineRegions:ices_ecoregionsDelineation of the ICES Ecoregions was originally described in ICES Advice ACFM/ACE report(2004). In the present updated version, the delineation has been updated to account for additional policy objectives and reconciling of legislation (eg the MSFD and the EU water and habitats directives) The differences are based on the four principles: 1. Within the EU accept the MSFD regional and sub-regional definitions. 2. Separate Icelandic Seas from those around Greenland. 3. Use Large Marine Ecosystem units to define the Arctic Ocean. 4. Use the accepted Norwegian regional management plans definitions of the Norwegian and Barents Seas. The Ecoregions were proposed to assist the implementation of the ecosystem approach in European watersfeaturesices_ecoregionsurn:ogc:def:crs:EPSG::4326-44.0000000000998 30.267049551395968.5000001347984 90.0000000001001MarineRegions:ices_areasThe 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.featuresices_areasurn:ogc:def:crs:EPSG::4326-44.5625 35.729999542236369.0625076293945 90.2700042724609MarineRegions:ices_statistical_rectanglesices_statistical_rectanglesfeaturesurn:ogc:def:crs:EPSG::4326-44.564998626709 35.755001068115269.5650024414062 85.2450103759766MarineRegions:ihoWorld seas represents the boundaries for the major oceans and seas of the world. The source for the boundaries is the publication 'Limits of Oceans & Seas, Special Publication No. 23' published by the IHO in 1953. (http://www.marineregions.org/files/S23_1953.pdf)worldworld oceansboundariesoceansseasdownloadable databoundariesoceansOceanographic geographical featuresurn:ogc:def:crs:EPSG::4326-181.800003051758 -86.440315246582181.800018310547 90.8778228759766MarineRegions:iho_quadrants_20150810urn:ogc:def:crs:EPSG::4326-181.800003051758 -86.3476409912109181.800018310547 90.8773574829102World:iosregionsThis set of polygons is used to sort and/or merge zooplankton species into regions of narrow or broad interest for biomass and abundance analysis. The results are reported yearly in 'State of the physical, biological and selected fishery resources of Pacific Canadian marine ecosystems'.zooplanktonbioregionbiomassabundancePacificCanadaIOSBio-geographical regionsurn:ogc:def:crs:EPSG::4326-180.0000000001 46.5670795440674180.0 89.2000999450684Belgium:wt_logies_20160729This data layer displays the accommodation facilities along the Belgian coast. The data are a snapshot of 29-07-2016. The information was sent to us by Michel Gilte (Westtoer) and originates from the WIN database.toeristische informatieattractieseventslogiesreca-ondernemingenWesttoerWINWIN-databankWest-Vlaams Informatie NetwerkAddressesurn:ogc:def:crs:EPSG::43262.5594814 50.72477043.7290914 51.356484Belgium:wt_attracties_20160729This data layer displays the attractions along the Belgian coast. The data are a snapshot of 29-07-2016. The information was sent to us by Michel Gilte (Westtoer) and is taken from the WIN database.toeristische informatieattractieseventslogiesreca-ondernemingenWesttoerWINWIN-databankWest-Vlaams Informatie NetwerkAddressesurn:ogc:def:crs:EPSG::43262.5664293 50.716133.736341 51.36126Belgium:wt_reca_20160729Deze data-laag geeft de reca-ondernemingen weer langsheen de Belgische Kust. De data zijn een momentopname van 29-07-2016. De informatie werd ons doorgestuurd door Michel Gilte (Westtoer) en is afkomstig uit de WIN-databank.toeristische informatieattractieseventslogiesreca-ondernemingenWesttoerWINWIN-databankWest-Vlaams Informatie NetwerkAddressesurn:ogc:def:crs:EPSG::43262.5828986 50.71821543.7220693 51.356349Scheldemonitor:vh_infrastr_begrenzingThe infrastructure boundary of the land area around the Sea Scheldt. The information is used by the Flemish Hydrography in the ECS for the Scheldt pilots.(infrastructuur)land/waterBegrenzingurn:ogc:def:crs:EPSG::326314.201 51.1164.485 51.365Kustportaal:goedoverslagbinnen_08Inland cargo traffic in the Flemish seaports. Source: Merckx, J.P. (2020). Zeehavens en luchthavens in Vlaanderen. Feiten, statistieken en indicatoren voor 2019. Mobiliteitsraad van Vlaanderen: Brussel. 195 pp.Transport networksurn:ogc:def:crs:EPSG::43262.83020520210266 50.97754669189454.50626516342163 51.3796577453613Lifewatch:centrestockage_sinoeSource: Sinoefeaturescentrestockage_sinoeurn:ogc:def:crs:EPSG::4326-63.4447784423828 2.627763748168959.30281257629395 51.1396827697754MarineRegions:eez_internal_watersVersion 4 of the Internal Waters from the VLIZ Maritime Boundaries Geodatabase. Internal Waters are the waters on the landward side of the baseline of a nation's territorial waters, except in archipelagic states. It includes waterways such as rivers and canals, and sometimes the water within small bays.territorial seascontiguous zonemarine regionsWorld Oceansmarineexclusive economic zoneslaw of the seaterritorial watersworld oceansarchipelagic watersinternal watersboundariesAdministrative unitsurn:ogc:def:crs:EPSG::4326-180.0 -55.97999999989997179.961366653848 83.67556666656841MarineHeritage:isobathes_100m_selectfeaturesisobathes_100m_selecturn:ogc:def:crs:EPSG::432624.1850433349609 -40.369049072265669.9850540161133 3.54762768745422MarineHeritage:wio_contoursisobathenzoutgradientwest indische oceaanindische oceaansaliniteiturn:ogc:def:crs:EPSG::432630.9517841339111 -29.995834350585968.6310806274414 3.00416684150696MarineRegions:itmarbiogeogsector_bianchiSubdivision of Italian seas in 9 biogeographic sectors as proposed in Bianchi, C.N. (2004). Proposta di suddivisione dei mari italiani in settori biogeografici. Notiziario S.i.B.M. 46: 57-59. Geometry was digitized from image in publication and represents an approximation of these sectors.featuresitmarbiogeogsector_bianchiurn:ogc:def:crs:EPSG::43267.18245458602905 35.116729736328121.2754669189453 45.8621101379395Emodnet:jerico_bio_areaAreas where biological data was collected under the framework of the JERICO-Next projecturn:ogc:def:crs:EPSG::4326-9.24099999999993 45.4-0.674999999999955 55.5437000000001Emodnet:jerico_bio_stationsPoints where biological data was collected under the framework of the JERICO-Next projecturn:ogc:def:crs:EPSG::4326-0.304401066189724 35.3390525.11133 59.7805475151942Emodnet:jerico_bio_transectsTransects where biological data was collected under the framework of the JERICO-Next projecturn:ogc:def:crs:EPSG::4326-2.40081151531291 36.808823000000125.6100876335374 65.6523541213456Crestproject:kilometerpalenThe location of the kilometer markers was deduced from the map 'Plan of the Flemish coast': - part between Ostend and the Dutch border - part between Ostend and the French border Both maps are published by Ministerie van de Vlaamse Gemeenschap - leefmilieu en infrastructuur. Administratie waterwegen en zeewezen - Afdeling waterwegen KustkilometerpalenstrandprofielencoördinatenEnvironmental monitoring facilitiesurn:ogc:def:crs:EPSG::43262.54170489311218 51.08765029907233.36351251602173 51.3695755004883Scheldemonitor:vh_landgebiedThe demarcation of the land area around the Sea Scheldt. The information is used by the Flemish Hydrography in the ECS for the Scheldt pilots.LandgebruikZeescheldescheldeLand useSea ScheldtScheldtAdministrative unitsurn:ogc:def:crs:EPSG::326314.185 51.1144.489 51.379Europe:se_landsdelarEurope Level 1 Provinces were grouped to create the three Swedish districts.se_landsdelarEuropeurn:ogc:def:crs:EPSG::432610.958 55.33724.159 69.059Scheldemonitor:lengte_segmenten_gebiedsindelingBased on the O&M geographical distribution of the Scheldt estuary and the centerline of the river, the length of each area was determined.urn:ogc:def:crs:EPSG::313703.563354512614136 50.96678404424294.694346539828342 51.431875641764336Lifewatch:lfinstitutesBelgium contributes to LifeWatch with varied and complementary "in-kind" contributions. These are implemented under the form of long lasting projects by different research centers and universities spread over the country and supported by each respective political authority. The Flemish contributions to LifeWatch are coordinated by the Flanders Marine Institute (VLIZ, marine part) and the Research Institute for Nature and Forest (INBO, freshwater and terrestrial part). This Flemish LifeWatch consortium is funded through FWO (Research Foundation Flanders/Fonds Wetenschappelijk Onderzoek) (formerly through the Hercules Foundation). In the framework of LifeWatch, the Wallonia-Brussels Federation is financing a collaborative research program between scientists of the Earth and Life Institute (Université catholique de Louvain) and the Biosystems Engineering Department (Université de Liège/Gembloux-ABT). The Federal contribution to LifeWatch is coordinated by the Royal Belgian Institute of Natural Sciences (RBINS), in collaboration with the Royal Museum for Central Africa (RMCA). The federal authority also supports the Belgian Biodiversity Platform to set-up and animate a LifeWatch scientific node. The federal contributions are funded by Belspo. Belspo will also fund the Belgian contribution to the LifeWatch ERIC.BelgianLifeWatchPartnersFlemishWalloonFederalAddressesurn:ogc:def:crs:EPSG::43262.9309041 50.5340714.717675 51.2324737Lifewatch:lfmonitoringstationsA grid of 9 LifeWatch stations is orientated along an east-west gradient and covers the coastal zone. These stations are sampled monthly during 1-day LifeWatch surveys. Seasonally, 8 additional LifeWatch stations, located further at sea, are sampled during 2-day surveys according to an offshore-inshore gradient.SamplingStationRV Simon StevinEnvironmental monitoring facilitiesurn:ogc:def:crs:EPSG::43262.25 51.1853.22 51.8Lifewatch:lfreceiversAs part of the Belgian LifeWatch observatory, a permanent acoustic receiver network for fish tracking is established in the Belgian Part of the North Sea and the Western Scheldt estuary. Using acoustic telemetry distribution, movements and habitat use of tagged migratory fish (such as European eel and Atlantic cod) can be tracked. Tags or transmitters are surgically implanted in the belly of individual fish; and acoustic receivers are installed on buoys, ship wrecks and river banks.FishAcousticReceiverNetworkEuropean eelAtlantic codEnvironmental monitoring facilitiesurn:ogc:def:crs:EPSG::43262.45627546310425 51.13866043090824.27918529510498 51.4763488769531NorthSea:scheepswrakken_20150922Location of shipwrecks in the North Sea and Zeescheldt until 2015. The map is based on information collected by http://www.maritieme-archeologie.be/. "Maritime Heritage" manages a large amount of information about the maritime heritage in Flanders. This information deals with wrecks, maritime structures and sites as well as with objects and events that are linked to a find.wrakerfgoedmaritiemmaritiem erfgoedVlaanderenvoorwerpencoördinaatcategorienationaliteitoorlogschipduikbootvrachtschippleziervaartuigbaggerschiplichtschipsleepbootfregatmijnenleggertorpedovisserijschiptankerwreckheritagemaritimemaritime heritageFlandersobjectscoordinatescategorynationalitywarshipsubmarinefreighterrecreational craftdredging vessellight shiptugboatfrigateminertorpedofishing vesseltankerTransport networksurn:ogc:def:crs:EPSG::43262.30533333333333 51.11496666666674.37616666666667 51.7741666666667Scheldemonitor:lithologischekaartThe lithological map includes the enclosing polygons of places with similar sediment composition. A lithological map is created through the processing and classification of multibeam backscatter data (Flemish Hydrography) and coupling the backscatter classes to the analysis results of the sediment samples. The map is divided into the following classes: sand, sludgy sand, sandy sludge, sludge, hard soil by clay and hard soil by gravel.lithologischekaartfeaturesurn:ogc:def:crs:EPSG::43264.2137598991394 51.11806106567384.40183162689209 51.3816375732422Lifewatch:groundwaterloggersFluctuations in groundwater levels are a determining factor for the sustainability of habitats. Therefore, the Research Institute for Nature and Forest (INBO) has set up the WATINA network, a monitoring network of over 9000 groundwater wells in Natura 2000 areas in Flanders. However, this assignment is hampered by factors such as accessibility of the terrain and manpower. Therefore, in the framework of LifeWatch, the INBO is now extending its monitoring techniques by using devices that can expose the groundwater levels real-time without the need for any manual intervention, and thereby reducing the risk of data loss when severe issues occur. These groundwater loggers with a GPRS modem (GPRS loggers) use an internal modem and a SIM card to send the data over the mobile network and they are employed in inaccessible areas with specific issues such as military domains or flood plains. Currently, 35 GPRS loggers are deployed, distributed across Flanders.groundwater levelNatura 2000habitatWATINAinaccessible terrainloggerGPRS modemEnvironmental monitoring facilitiesurn:ogc:def:crs:EPSG::43263.26729989051819 50.80725097656255.83270025253296 51.3627510070801Morocco:locationsLocations; Al Hoceima CASE - PEGASOprojectlocationsfeaturesurn:ogc:def:crs:EPSG::4326-3.93141746520996 35.1014862060547-3.76782011985779 35.243480682373Scheldemonitor:moneos_monitoring_linesMONEOS monitoring activities in the Schelde represented as trajects (lines)urn:ogc:def:crs:EPSG::43263.53327007395 51.00466849941264.40712615964731 51.4518072421672Scheldemonitor:moneos_monitoring_pointsMONEOS monitoring activities in the Schelde represented as stations (points)urn:ogc:def:crs:EPSG::43263.1635 50.93722803344.74237 51.65861111Scheldemonitor:moneos_monitoring_polygonsMONEOS monitoring activities in the Schelde represented as polygonsurn:ogc:def:crs:EPSG::43263.16667000204325 50.99264.67025185376406 51.5797067364663MSP_BPNS:rd20190522_art8_3_zone4MSP 2020-2026 Area for renewable energy (windfarms, Fairybank) Source: Koninklijk besluit tot vaststelling van het marien ruimtelijk plan voor de periode van 2020 tot 2026 in de Belgische zeegebieden, Belgisch Staatsblad, 19 juli 2019.featuresrd20190522_art8_3_zone4urn:ogc:def:crs:EPSG::43262.30282187461853 51.36871337890622.55757808685303 51.5277862548828MSP_BPNS:rd20190522_art8_2_zone2MSP 2020-2026 Area for renewable energy (windfarms, Noordhinder north) Source: Koninklijk besluit tot vaststelling van het marien ruimtelijk plan voor de periode van 2020 tot 2026 in de Belgische zeegebieden, Belgisch Staatsblad, 19 juli 2019.rd20190522_art8_2_zone2featuresurn:ogc:def:crs:EPSG::43262.47188520431519 51.5877609252932.60954809188843 51.6694412231445MSP_BPNS:rd20190522_art8_3_zone3MSP 2020-2026 Area for renewable energy (windfarms, Noordhinder south) Source: Koninklijk besluit tot vaststelling van het marien ruimtelijk plan voor de periode van 2020 tot 2026 in de Belgische zeegebieden, Belgisch Staatsblad, 19 juli 2019.featuresrd20190522_art8_3_zone3urn:ogc:def:crs:EPSG::43262.34483051300049 51.47691345214842.57766962051392 51.5650024414062MSP_BPNS:rd20190522_art8_1_zone1MSP 2020-2026 Area for renewable energy (windfarms, east zone) Source: Koninklijk besluit tot vaststelling van het marien ruimtelijk plan voor de periode van 2020 tot 2026 in de Belgische zeegebieden, Belgisch Staatsblad, 19 juli 2019.featuresrd20190522_art8_1_zone1urn:ogc:def:crs:EPSG::43262.70311212539673 51.48823165893553.08443784713745 51.7411689758301MSP_BPNS:rd20190522_art23_1_zoneaSource: marineatlas.befeaturesrd20190522_art23_1_zoneaurn:ogc:def:crs:EPSG::43262.43218469619751 51.21889114379882.55658197402954 51.3082313537598MSP_BPNS:rd20190522_art23_1_zonebSource: marineatlas.befeaturesrd20190522_art23_1_zoneburn:ogc:def:crs:EPSG::43262.53358101844788 51.22460556030272.62392377853394 51.2848739624023MSP_BPNS:rd20190522_art23_1_zonecSource: marineatlas.befeaturesrd20190522_art23_1_zonecurn:ogc:def:crs:EPSG::43262.62217092514038 51.16254806518552.67433094978333 51.1862373352051MSP_BPNS:rd20190522_art23_1_zonedSource: marineatlas.befeaturesrd20190522_art23_1_zonedurn:ogc:def:crs:EPSG::43262.89273571968079 51.2764816284182.9966344833374 51.3239402770996MSP_BPNS:rd20190522_art23_1_zoneeSource: marineatlas.befeaturesrd20190522_art23_1_zoneeurn:ogc:def:crs:EPSG::43263.08173894882202 51.44560623168953.19842791557312 51.5121307373047World:mangrovesFrom: Giri, C. et al. (2011) Status and distribution of mangrove forests of the world using earth observation satellite data. Global Ecol. Biogeogr. 20, 154–159 DOI 10.1111/j.1466-8238.2010.00584.xfeaturesmangrovesurn:ogc:def:crs:EPSG::4326-179.950671936 -38.7620733759999179.98778845 32.3501725850001WoRMS:manicouaganLimits of the Manicouagan MPA based on http://www.dfo-mpo.gc.ca/CSAS/Csas/publications/sar-as/2010/2010_075_e.pdf and 0m-contour line from Etopo1urn:ogc:def:crs:EPSG::4326-68.638 48.875-68.102 49.161Ecoregions:provincesmariene ecoregiosrealmecoregiosgeografische zoneurn:ogc:def:crs:EPSG::4326-180.000000000079 -85.4702909329404179.999999999874 86.919396288676Ecoregions:ecoregionsMEOW is a biogeographic classification of the world's coasts and shelves. It is the first ever comprehensive marine classification system with clearly defined boundaries and definitions and was developed to closely link to existing regional systems. The ecoregions nest within the broader biogeographic tiers of Realms and Provinces. MEOW represents broad-scale patterns of species and communities in the ocean, and was designed as a tool for planning conservation across a range of scales and assessing conservation efforts and gaps worldwide. The current system focuses on coast and shelf areas (as this is where the majority of human activity and conservation action is focused) and does not consider realms in pelagic or deep benthic environment. It is hoped that parallel but distinct systems for pelagic and deep benthic biotas will be devised in the near future. The project was led by The Nature Conservancy (TNC) and the World Wildlife Fund (WWF), with broad input from a working group representing key NGO, academic and intergovernmental conservation partners. (source: WWF - Marine Ecoregions of the World) Note: The inland boundaries of the ecoregions extend far inland - a convention to ensure inclusion of any coastline and estuarine/lagoonal systems which may be derived from different map sources. For visualisations in the Marine Regions gazetteer, the areas inland have been removed from the shapefile. References: Spalding, M. D. Fox, H. E. Allen, G. R. Davidson, N. Ferdana, Z. A. Finlayson, M. Halpern, B. S. Jorge, M. A. Lombana, A. Lourie, S. A., (2007). Marine Ecoregions of the World: A Bioregionalization of Coastal and Shelf Areas. Bioscience 2007, VOL 57; numb 7, pages 573-584. doi: 10.1641/B570707mariene ecoregiosrealmecoregiosgeografische zoneurn:ogc:def:crs:EPSG::4326-180.0 -89.9180.0 86.919Ecoregions:realmmariene ecoregiosrealmecoregiosgeografische zoneurn:ogc:def:crs:EPSG::4326-180.0 -89.9180.0 86.919MarineRegions:eez_landThis dataset combines the boundaries of the world countries and the Exclusive Economic Zones of the world. It was created by combining the ESRI world country database and the EEZ version 12 dataset.the union of world country boundaries and EEZ'surn:ogc:def:crs:EPSG::4326-180.0 -89.99999999990007180.0 86.99400535016684BWZee:fishThe marine biological valuation map of the demersal fish was calculated by averaging the scores of the assessment questions of each grid cell and dividing these values in five value classes. The three valuation questions: * Is the subzone characterized by high counts of many species? * Is the abundance of a certain species very high in the subzone? * Is the species richness in the subzone high?marinebirdscharacteristicsindicatorsmacrobenthossediment compositionANEBelgiumBelgian Continental Shelf (BCS)biologyvaluation mapBelgian Continental Shelfseabirdsepibenthosdemersal fishdemersalfishBelgian Science Policy (BELSPO)Onderzoeksdomein VisserijUniversiteit GentOnderzoeksgroep Mariene Biologie (MARBIOL)Renard Centre of Marine Geology (RCMG)Vlaams Instituut voor de Zee (VLIZ)Vlaamse overheid; Beleidsdomein LeefmilieuNatuur en Energie; Instituut voor Natuur- en Bosonderzoek (INBO)GISmapsdatalowhighvaluation questionsHabitats and biotopesurn:ogc:def:crs:EPSG::326312.3177213380839703 51.1687928801643.3106385890391516 51.779924994672044BWZee:epibenthosThe marine biological valuation map of the epibenthos was calculated by averaging the scores of the assessment questions of each grid cell and dividing these values in five value classes. The five valuation questions: * Is the subzone characterized by high counts of many species? * Is the abundance of a certain species very high in the subzone? * Is the abundance of ecologically significant species high in the subzone? * Is the species richness in the subzone high? * Is the subzone highly productive?marinebirdscharacteristicsindicatorsmacrobenthossediment compositionANEBelgiumBelgian Continental Shelf (BCS)biologyvaluation mapBelgian Continental Shelfseabirdsepibenthosdemersal fishdemersalfishBelgian Science Policy (BELSPO)Onderzoeksdomein VisserijUniversiteit GentOnderzoeksgroep Mariene Biologie (MARBIOL)Renard Centre of Marine Geology (RCMG)Vlaams Instituut voor de Zee (VLIZ)Vlaamse overheid; Beleidsdomein LeefmilieuNatuur en Energie; Instituut voor Natuur- en Bosonderzoek (INBO)GISmapsdatalowhighvaluation questionsHabitats and biotopesurn:ogc:def:crs:EPSG::326312.3177213380839703 51.1687928801643.3106385890391516 51.779924994672044BWZee:macroA marine biological valuation map for macrobenthos for the Belgian part of the North Sea BWZEE: A Biological Valuation Map for the Belgian Continental Shelfmarinecharacteristicsindicatorsmacrobenthossediment compositionANEBelgiumBelgian Continental Shelf (BCS)biologyvaluation mapBelgian Continental ShelfBelgian Science Policy (BELSPO)Universiteit GentOnderzoeksgroep Mariene Biologie (MARBIOL)Renard Centre of Marine Geology (RCMG)Vlaams Instituut voor de Zee (VLIZ)Vlaamse overheid; Beleidsdomein LeefmilieuNatuur en Energie; Instituut voor Natuur- en Bosonderzoek (INBO)GISmapsdatalowhighvaluation questionsHabitats and biotopesurn:ogc:def:crs:EPSG::326312.2304151483662813 51.0873439299001653.361533764039047 51.800156113285254BWZee:vogelsA marine biological valuation map for seabirds for the Belgian part of the North Sea BWZEE: A Biological Valuation Map for the Belgian Continental ShelfmarinebirdscharacteristicsindicatorsANEBelgiumBelgian Continental Shelf (BCS)biologyvaluation mapBelgian Continental ShelfseabirdsBelgian Science Policy (BELSPO)Onderzoeksdomein VisserijUniversiteit GentOnderzoeksgroep Mariene Biologie (MARBIOL)Renard Centre of Marine Geology (RCMG)Vlaams Instituut voor de Zee (VLIZ)Vlaamse overheid; Beleidsdomein LeefmilieuNatuur en Energie; Instituut voor Natuur- en Bosonderzoek (INBO)GISmapsdatalowhighvaluation questionsHabitats and biotopesurn:ogc:def:crs:EPSG::326312.2345421309038485 51.091658412819643.3751499125706537 51.87668568457844MarineRegions:eez_boundariesVersion 12 of the Maritime Boundaries from the VLIZ Maritime Boundaries Geodatabase. Boundaries have been built using information about treaties between coastal countries. When treaties are not available, median lines have been calculated. This dataset also contains delimitation of disputed boundaries and joint regimes.territorial seascontiguous zonemarine regionsWorld Oceansmarineexclusive economic zoneslaw of the seaterritorial watersworld oceansarchipelagic watersinternal watersboundariesAdministrative unitsurn:ogc:def:crs:EPSG::4326-180.0 -62.78834217149148180.0 86.99400535037381Scheldemonitor:meetstations_sedimentMeasuring stations along the Eastern Scheldt, Scheldt estuary and tributaries.featuresmeetstations_sedimenturn:ogc:def:crs:EPSG::43263.21 50.984.73 51.68BWZee:ug_rcmg_d50Multivariate geostatistics have been used to obtain a detailed and high-quality map of the median grain-size distribution of the sand fraction at the Belgian Continental Shelf. Sandbanks and swales are the dominant geomorphological features and impose high-spatial seafloor variability. Resolution of the map is 250m x 250 m.multivariate geostatisticsmedian grain-sizebathymetryhabitat mappingresource maps; Belgian continental shelfsedisurf1976-2006gridArcGISug_rcmg_d50Geologyurn:ogc:def:crs:EPSG::326312.229111270464205 51.0873439299001653.3694094206883576 51.87658190879944MarineRegions:mesopelagiczonesA global biogeographic classification of the mesopelagic zone to reflect the regional scales over which the ocean interior varies in terms of biodiversity and function. Developed by Tracey T.Sutton et al. More information: https://www.sciencedirect.com/science/article/pii/S0967063717301437Biodiversity Biogeographical ecoregions Oceanic biomes Gyres Oxygen minimum zones UpwellingHabitats and biotopesurn:ogc:def:crs:EPSG::4326-181.800003051758 -79.4973602294922181.800018310547 90.8432693481445Kustportaal:metaalbiota_26Metal concentrations in biota. As: no data for 2005, 2007-2009, 2012 Cd / Cu / Hg / Zn: no data for 2005 Cr / Fe / Se: no data for 2002-2010 Source: MUMM (RBINS - OD Nature)Environmental monitoring facilitiesHuman health and safetyurn:ogc:def:crs:EPSG::43262.72764492034912 51.15495300292973.33802175521851 51.3658790588379Kustportaal:metaalsediment_29Metal concentrations in sediments. MUMM (RBINS - OD Nature)urn:ogc:def:crs:EPSG::43262.46833333 51.168333333.2525 51.41833333MarineRegions:gazetteer_lineMiscellaneous lines that are being used to provide geometric information for Marine Regions gazetteer features. Sources - River Deveron: Ordnance Survey data © Crown copyright and database right 2013featuresgazetteer_lineurn:ogc:def:crs:EPSG::4326-3.03060170024819 57.3633744845329-2.47748652491074 57.6663904881387MarineRegions:gazetteer_polygonMiscellaneous polygons that are being used to provide geometric information for Marine Regions gazetteer features. Sources - Slope Sea: Richardson, D. E., Marancik, K. E., Guyon, J. R., Lutcavage, M. E., Galuardi, B., Lam, C. H., ... & Hare, J. A. (2016). Discovery of a spawning ground reveals diverse migration strategies in Atlantic bluefin tuna (Thunnus thynnus). Proceedings of the National Academy of Sciences, 113(12), 3299-3304. - Ubatuba: The World Bank Data Catalog - Pila, Villa Gesell: Instituto Geográfico Nacional de la República Argentina - South Sandwich Islands: British Antarctic Survey, South Georgia GIS - Midway Atoll, Isle of Man: World Countries 2014 database from ESRI (data from DeLorme, 2014) - Norwegian fjords: Norwegian Environment Agency, Norway; (2011): The Fjord catalog. , available online at https://kartkatalog.geonorge.no/metadata/miljodirektoratet/d4b28454-ebd6-4425-9a66-00cb2d7e57ed - Saint-Malo: Institut national de l'information géographique et forestière (IGN-F), available online at https://geoservices.ign.fr/ - Arrabida: UNEP-WCMC and IUCN (2021), Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM) [Online], September 2021, Cambridge, UK: UNEP-WCMC and IUCN. Available at: www.protectedplanet.net. - Dorsal de Nasca: UNEP-WCMC and IUCN (2023), Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM) [Online], August 2023, Cambridge, UK: UNEP-WCMC and IUCN. Available at: www.protectedplanet.net. - Antarctic 200 NM zone beyond the coastline: Flanders Marine Institute (2019). Maritime Boundaries Geodatabase: Maritime Boundaries and Exclusive Economic Zones (200NM), version 11. Available online at http://www.marineregions.org/. https://doi.org/10.14284/386 - Pantar: ayre, Roger; Noble, Suzanne; Hamann, Sharon; Smith, Rebecca; Wright, Dawn; Breyer, Sean; Butler, Kevin; Van Graafeiland, Keith; Frye, Charlie; Karagulle, Deniz; Hopkins, Dabney; Stephens, Drew; Kelly, Kevin; Basher, Zeenatul; Burton, Devon; Cress, Jill; Atkins, Karina; Van Sistine, D. Paco; Friesen, Beverly; Allee, Rebecca; Allen, Tom; Aniello, Peter; Asaad, Irawan; Costello, Mark John; Goodin, Kathy; Harris, Peter; Kavanaugh, Maria; Lillis, Helen; Manca, Eleonora; Muller-Karger, Frank; Nyberg, Bjorn; Parsons, Rost; Saarinen, Justin; Steiner, Jac; Reed, Adam (2019). A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units. J. Oper. Oceangr. 12(Suppl. 2): S47-S56. https://hdl.handle.net/10.1080/1755876x.2018.1529714 - Biosphärenreservat Südost-Rügen: UNEP-WCMC and IUCN (2024), Protected Planet: The World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM) [Online], May 2024, Cambridge, UK: UNEP-WCMC and IUCN. Available at: www.protectedplanet.net. - Galicia Bank Region: Continental Shelf Submission of Portugal pursuant to Article 76, paragraph 8 of the United Nations Convention on the Law of the Seagazetteer_polygonfeaturesurn:ogc:def:crs:EPSG::4326-180.0 -85.5625180.0 67.298183689665Pesi:missingareaspesiCombination of different features that were missing for Pesi: Greek mainland, selected from TDWG without islands, Archipelago Sea, created from three coordinate pairs, Baltic Sea, from IHO, divided in a northern and southern part based on latitude.Pesiurn:ogc:def:crs:EPSG::43269.846 36.38426.636 60.794Crestproject:crest_monitoringThis map shows the locations where measurements will be performed within the CREST project (Climate Resilient Coast). Different types of measurements will be carried out. * In Zeebrugge wave overtopping will be monitored. * Climatic parameters are collected in Ostend. * At Groenendijk-West and Mariakerke the amount of sand that is displaced under the influence of the wind will be measured. * In addition to these aeolian measurements, several parameters are measured in Mariakerke by means of buoys, and there is an Argus system operational. Every 30 minutes a photo is taken from the beach that can be used in the determination of the coastline, bathymetry and wave and current characteristics.CRESTkustverdedigingstudiegebiedGroenendijkduinenKoksijdeNieuwpoortdijkenverdedidingstormsuppletiemonitoringwindzandwindsnelheidneerslagklimatologieweerparametersfoto'sArgusevolutieveranderingenmorfologiedynamiekboeienstroomsnelheidoverslagtankZeebruggeOostendeEnvironmental monitoring facilitiesurn:ogc:def:crs:EPSG::43262.68919539451599 51.13918685913093.1755006313324 51.355525970459Kustportaal:zand_monitoringMain zones for monitoring sand extraction in the Belgian part of the North Sea. This list does not include all the areas that were mapped with multibeam in the past as part of the monitoring effort, but only those that are still being mapped today or for which there is an extensive time series. Source: FPS Economy, Continental Shelf ServiceArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.48542070388794 51.26166915893552.79566931724548 51.5510749816895Belgium:belgium_municipalitiesThis dataset contains all the boundaries of all the Belgian municipalities. It also contains the INS code and the French and Dutch name of each municipality. Source: NGI, adapted after fusion Flemish municipalities (2019-01-01)BelgiumBelgiqueBelgiëWalloniaWallonieWalloniëWalloon RegionRégion wallonneWaals GewestwalloonwallonnewaalsFlandersFlandreVlaanderenFlemish RegionRégion flamandeVlaams GewestFlemishFlamandeVlaamsBrusselsBruxellesBrusselbelgianbelgischbelgeLimitLimiteGrensMunicipalityCommuneGemeentelimitslimitesgrenzenmunicipalitiescommunesgemeentenDivisionIndelingEsriEsriBeluxBeluxEsri BeluxSHPboundariespeopleBelgiumWalloniaWalloon RegionFlandersFlemish RegionBrusselsbelgianLimitMunicipalitylimitsDivisionEsriBelux SHPboundariespeopleAdministrative unitsurn:ogc:def:crs:EPSG::313702.524630416744944 49.4843579644014756.457741444426844 51.50548730868815Scheldemonitor:gemeenten2008ScheldemonitorGemeentenurn:ogc:def:crs:EPSG::289923.254 50.7347.243 53.56World:musquashMusquash Estuary Marine Protected Area (MPA) is located 20 km southwest of Saint John, New Brunswick. The MPA boundary is defined by the water level at low tide. Most of the intertidal area – the area exposed to air at low tide and underwater at high tide – is administered by Fisheries and Oceans Canada (DFO) and is referred to as the Administered Intertidal Area.urn:ogc:def:crs:EPSG::4326-66.341 45.137-66.229 45.195World:nafo_divisionsurn:ogc:def:crs:EPSG::4326-82.22 35.0-42.0 78.167World:nafo_2014_02fishingzonenafoconventionatlanticregulatedfisheryArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::4326-80.0 35.0-41.9999961853027 71.7976150512695MarineRegions:world_countries_coastsurn:ogc:def:crs:EPSG::4326-181.800003051758 -90.8683242797852181.800003051758 84.533821105957Scheldemonitor:nl_nat_landschnl_nat_landschScheldemonitorurn:ogc:def:crs:EPSG::289923.262 50.7347.112 53.388Kustportaal:shippingroutesIn addition to the frequently used routes for which IMO has created routeing systems, other important and frequently used shipping routes towards the ports or the Scheldt area exist in the BNS. These routes are used by ships because they are marked and/or dredged, guaranteeing a safe shipping depth.urn:ogc:def:crs:EPSG::43262.23154091835022 51.11307144165043.34214210510254 51.8790702819824Scheldemonitor:vh_natuurl_begrenzingThe natural boundaries of the land area around the Sea Scheldt. The information is used by the Flemish Hydrography in the ECS for the Scheldt pilots.Scheldemorfodynamieknatuurlijke afbakeningafbakeningbegrenzingnatuurlijke begrenzingScheldtmorphodynamicsnatural demarcationdemarcationboundarynatural boundaryurn:ogc:def:crs:EPSG::326314.226 51.1174.401 51.376Scheldemonitor:nopseallGeographical distribution of the Scheldt estuary drawn up within the study report on nature development measures for the Scheldt Estuary Development Plan 2010. (Van den Bergh, E., Van Damme, S. Graveland, J., De Jong, DJ; Baten, I., Meire, P. (2003).) A goal was set up based on an ecosystem analysis and exploration of possible measures, in order to achieve the objectives within the Long-term Vision of the Scheldt Estuary.NOPSENatuurontwikkelingsplan Schelde-estuariumScheldeestuariumnatuurontwikkelingsplanNOPSENature development plan Scheldt estuaryScheldtestuarynaturedevelopment planurn:ogc:def:crs:EPSG::313703.298 50.9725.046 51.574Scheldemonitor:mt_lichten_20100211Location of the lights in the Sea Scheldt, Westerschelde, for the Belgian coast and along the Ghent-Terneuzen Canal. Source: Vlaamse Hydrografie.Scheldemonitorurn:ogc:def:crs:EPSG::258313.045 51.0344.409 51.53Scheldemonitor:buurten2008Scheldemonitorbuurten2008urn:ogc:def:crs:EPSG::289923.254 50.7347.243 53.56NorthSea:wmp_nobelwindNobelwindlocatie turbinesturbineswindmolenparkwindmolensurn:ogc:def:crs:EPSG::43262.76634598155684 51.62130915092082.86619311047205 51.7112671917905MarineRegions:na_coastalwaterbodiesThis layer represents oceans, bays, lagoons, and estuaries in and near the United States and Canada. Source: ESRI http://www.esri.com/~/media/Files/Pdfs/legal/pdfs/redist_rights_10.1.pdffeaturesna_coastalwaterbodieslayerESRINorth AmericaUnited Statescoastal water bodiesoceansseasbays2009Updateurn:ogc:def:crs:EPSG::4326-179.871978759766 17.4917068481445-50.4126281738281 86.1316146850586NorthSea:bathympolyNorthSeaurn:ogc:def:crs:EPSG::4326-0.0 49.3324.77 52.009World:ne_atlanticbased on ICES ecoregions definitionsfeaturesne_atlanticurn:ogc:def:crs:EPSG::4326-44.0 36.068.5000076293945 89.9968643188477NorthSea:wmp_northwindlocatie turbinesNorthwindturbineswindmolenparkwindmolensurn:ogc:def:crs:EPSG::43262.85893166666667 51.59701166666662.94343833333333 51.6447683333333Kustportaal:landtuinbouw_23Number of agricultural and horticultural enterprises in the coastal and hinterland municipalities since 1994. The data collection was subject to methodological changes after 2007. Source: Landbouwgegevens 2020, Department Agriculture and Fisheries based on FPS Economy, S.M.E.s, Self-employed and Energy – StatbelAgricultural and aquaculture facilitiesurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043Kustportaal:tewagrosector_24Number of employed persons in the coastal and hinterland municipalities from 1985 onwards. The data collection was subject to methodological changes after 2007. Source: Dataset Regio’s 2021, POM West-VlaanderenAgricultural and aquaculture facilitiesurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043Kustportaal:lw_vissen_aantalDetections of tagged fish by the LifeWatch acoustic receiver network from 2011 until now. Both detections of the permanent network and temporary deployments are shown.fishhabitat usemigration patternsacoustic telemetryelectronic taggingSpecies distributionurn:ogc:def:crs:EPSG::43262.49 50.615.99 51.7Kustportaal:privatehuish_39The demarcation of a household is based on the number of registrations at the same principal place of residence in the National Register. The figures relate to the legal situation and may differ from the actual situation. Households are divided into private and collective households. Collective households are: religious communities, retirement homes, orphanages, student and worker houses, hospitals and prisons (Statbel provision). All households that are not collective are private households. Further information: https://www.statistiekvlaanderen.be/KSMD-113-huishoudens. Source: National register, processed by provincies.incijfers.bePopulation distribution and demographyurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043Kustportaal:zeeschepen_05The number of seagoing vessels that arrives in a Flemish sea port on a yearly basis. Source: Merckx, J.P. (2020). Zeehavens en luchthavens in Vlaanderen. Feiten, statistieken en indicatoren voor 2019. Mobiliteitsraad van Vlaanderen: Brussel. 195 pp.Transport networksurn:ogc:def:crs:EPSG::43262.83020520210266 50.97754669189454.50626516342163 51.3796577453613Emodnet:eurobis_stats_iho_ermsFor each IHO Sea Area in the European Marine Waters (clipped), statistics on species occurrence where calculated. Each area displays the total number of observations. The attribute table contains also information on the individual observations and the occurrence of species per group (mammalia, aves, reptilia, benthos, zooplankton, phytoplankton, macroalgae and plantae). The statistics were calculated using the EurOBIS database, in 2011.observationsspeciesmammaliaavesreptiliabenthoszooplanktonphytoplanktonmacroalgae and plantaeihosea areasEurOBISSpecies distributionurn:ogc:def:crs:EPSG::4326-45.0 26.070.0 90.0Scheldemonitor:gebiedsindeling_omThis is the shapefile with the revised version of the geographical distribution for the purpose of T2015. The map has been completely transformed into a polygon map. The polygons are extended so that all (future) depolderings are selectable as well. Attribute fields were added in order to be able to easily select spatial units within the evatulation (Sea Scheldt / Western Scheldt; Salinity zone; OMES zone/macrocel).polygoongebiedsindelingT2015zijrivierenOMESzonemesocelmacrocelZeescheldeWesterscheldeRingvaartNeteDurmeZenneDijleRupelOMESsterk polyhalienmesohalienzone met sterke saliniteitsgradiëntoligohalienzoet lange verblijftijdzwak polyhalienzoet zijrivierzoet korte verblijftijdHedwigeSaeftinghegetijdenetesPolygongeographical distributionT2015tributariesOMES zonemesocellmacrocellSea ScheldtWestern ScheldtRingvaartNeteDurmeZenneDyleRupelOMEShighly polyhalinemesohalinehigh salinity gradient zoneoligohalinefresh long dwell timeweakly polyhalinefresh tributaryfresh short dwell timeHedwigeSaeftinghetidal netesArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::313703.5622422585477715 50.966755444978854.755465371337788 51.46280301484232MarineRegions:ospar_regionsShapefile created based on the outer en inner boundary of the OSPAR maritime area. Both shapefiles were downloaded from the OSPAR website and merged into 1 file (2014-04-25). The coastline used is EEA coastline for analysis (line) - version 1.0, Jun. 2013 from the European Environment Agency.Area management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::4326-44.199176999513 36.051.0000830649462 89.9999942352915MarineRegions:ospar_boundariesCombination of the outer en inner boundary of the OSPAR maritime area. Both shapefiles were downloaded from the OSPAR website and merged into 1 file (2014-04-25).Area management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::4326-44.0001449584961 36.051.0000038146973 90.0ETN:OTN_mystery_tagsfeaturesOTN_mystery_tagsurn:ogc:def:crs:EPSG::404000-1.0 -1.00.0 0.0ETN:OTN_receiver_logsfeaturesOTN_receiver_logsurn:ogc:def:crs:EPSG::404000-1.0 -1.00.0 0.0Kustportaal:lw_strandingenObservations and strandings of different species of marine mammals in Belgium from 2008 to 2018. The data are collected and made available by RBINS, OD Nature and the Faculty of Veterinary medicine of the University of Liège.harbor porpoisestrandingsightingSpecies distributionurn:ogc:def:crs:EPSG::43260.216666667 50.3907594.617198 51.82MarineRegions:mra_nor_blocksMineral rights areas are geographical units where exploration and exploitation of mineral resources (e.g. oil, gas) can take place. The areas are delineated by governmental agencies and (parts of) these areas can be licensed off to companies following a bidding round, allowing them to develop their activities in the area. Mineral rights areas occur both onshore and offshore. The smallest unit of division is a ‘block’. A number of blocks form a ‘quad’. The mineral rights areas that can be found in the Marine Regions gazetteer only consist of the offshore units. The license data, which are subject to frequent alterations, are not incorporated in the data set in order to provide a sustainable link to the described features. The license data can be consulted through the awarding government’s website. The area of each block was calculated and added as a field to the attribute table.mineral rights areasoilgasexploitationexplorationoffshoreAdministrative unitsurn:ogc:def:crs:EPSG::4326-0.678226709365845 55.993915557861337.1872901916504 74.5924682617188MarineRegions:mra_uk_blocksMineral rights areas are geographical units where exploration and exploitation of mineral resources (e.g. oil, gas) can take place. The areas are delineated by governmental agencies and (parts of) these areas can be licensed off to companies following a bidding round, allowing them to develop their activities in the area. Mineral rights areas occur both onshore and offshore. The smallest unit of division is a ‘block’. A number of blocks form a ‘quad’. The mineral rights areas that can be found in the Marine Regions gazetteer only consist of the offshore units. The license data, which are subject to frequent alterations, are not incorporated in the data set in order to provide a sustainable link to the described features. The license data can be consulted through the awarding government’s website. The area of each block was calculated and added as a field to the attribute table.mineral rights areasoilgasexploitationexplorationoffshoreAdministrative unitsurn:ogc:def:crs:EPSG::4326-25.2780513763428 47.35313796997073.54121971130371 63.9693298339844Kustportaal:windfarmsThis layer combines the geometry of <a href="http://www.emodnet-humanactivities.eu/view-data.php">EMODnet Human Activities</a> with the data provided in <a href="http://www.compendiumkustenzee.be/sites/compendiumkustenzee.be/files/public/Energie_DIGITAAL.pdf">Compendium voor Kust en Zee 2015</a>.energyrenewableresourcewindfarmcompendiumemodnetEnergy resourcesurn:ogc:def:crs:EPSG::4326-10.0315001797894 43.312407206027824.8528054296269 65.7593275587199Kustportaal:researchtowerOstend Research Tower: Maritime platform that will serve as a laboratory, used to perform tests designed to accelerate the innovation and development of blue energy and the broader blue economy.Environmental monitoring facilitiesurn:ogc:def:crs:EPSG::43262.91966366767883 51.24631500244142.91966390609741 51.2463188171387Kustportaal:pakszeewater_28_totPolycyclic aromatic hydrocarbons (PAHs) concentrations in sea water. Visualised as the sum of the following individual PAHs: - acenaphthene - acenaphthylene - anthracene - benzo[a]anthracene - benzo[a]pyrene - benzo[b]fluoranthene - benzo[ghi]perylene - benzo[k]fluoranthene - chrysene - dibenz[a,h]anthracene - fluorene - fluoranthene - indeno[1,2,3-cd]pyrene - naphthalene - phenanthrene - pyrene Source: MUMM (RBINS - OD Nature)urn:ogc:def:crs:EPSG::43262.46833333 51.263333333.18916667 51.41666667Kustportaal:pakssediment_30_totPolycyclic aromatic hydrocarbons (PAHs) concentrations in marine sediments. Visualised as the sum of the following individual PAHs: - acenaphthene - acenaphthylene - anthracene - benzo[a]anthracene - benzo[a]pyrene - benzo[b]fluoranthene - benzo[ghi]perylene - benzo[k]fluoranthene - chrysene - dibenz[a,h]anthracene - fluorene - fluoranthene - indeno[1,2,3-cd]pyrene - naphthalene - phenanthrene - pyrene Source: MUMM (RBINS - OD Nature)urn:ogc:def:crs:EPSG::43262.35 51.168333333.2525 51.75Kustportaal:pcsbiota_27Polychlorinated biphenyl (PCB) concentrations in biota at fixed sampling points at Knokke, Ostend and Nieuwpoort. Source: ILVOEnvironmental monitoring facilitiesHuman health and safetyurn:ogc:def:crs:EPSG::43262.72764492034912 51.15495300292973.33802175521851 51.3658790588379Kustportaal:pcbssediment_31Polychlorinated biphenyl (PCB) concentration in marine sediments at fixed sampling points on the BNS (W01, W02, W03, W04, W05, W07). Bron: MUMM (RBINS - OD Nature)urn:ogc:def:crs:EPSG::43262.66373729705811 51.16625595092773.2554292678833 51.5854110717773NorthSea:paardenmarktLarge quantities of munition were left behind in Belgium after the First World War. The process of collecting and taking this munition to temporary storage locations gave rise to some extremely dangerous situations. Because the situation was gradually becoming untenable and it was still too risky to disarm and dispose of the munition, the Belgian government decided in late 1919 to dump it all at sea. Every day for a six-month period a ship's hold of munition was dumped on the shallow coastal sandbank just off Knokke-Heist, known as the "Paardenmarkt". Soon after that the muition dump would be forgotten. But when an area east of the port of Zeebrugge was dredged in 1971 they found munition and poisonous gas shells at 17 locations. Since the munition had been partially covered by a thin layer of sediment, its condition was reported as "remarkably good". In 1988 a magnetometric study confirmed that shells were present over a larger area. As of that point the area was displayed on the hydrographic maps as a pentagonal zone covering some 3 km², in which it was forbidden to fish or drop anchor.urn:ogc:def:crs:EPSG::43263.238166667 51.351166673.277 51.36833333HistorischeKaarten:paleo3500Map made by De Clercq, Maikel (RCMG, Ugent) in the ° century. More information through the metadata and on the website of <a href='http://www.vliz.be/hisgiskust' target='_blank'>HisGISKust</a>.urn:ogc:def:crs:EPSG::43262.23700660000014 50.94909067505163.37766374235855 51.8753061HistorischeKaarten:paleo5500Map made by De Clercq, Maikel (RCMG, Ugent) in the ° century. More information through the metadata and on the website of <a href='http://www.vliz.be/hisgiskust' target='_blank'>HisGISKust</a>.urn:ogc:def:crs:EPSG::43262.23700659999992 50.9481244873493.42412734193158 51.8753061HistorischeKaarten:paleo7500Map made by De Clercq, Maikel (RCMG, Ugent) in the ° century. More information through the metadata and on the website of <a href='http://www.vliz.be/hisgiskust' target='_blank'>HisGISKust</a>.urn:ogc:def:crs:EPSG::43262.23700659999992 50.94436589477473.36749229209641 51.8753061000004HistorischeKaarten:paleo9000Map made by De Clercq, Maikel (RCMG, Ugent) in the ° century. More information through the metadata and on the website of <a href='http://www.vliz.be/hisgiskust' target='_blank'>HisGISKust</a>.urn:ogc:def:crs:EPSG::43262.23700660000014 51.05830982364113.36304091506656 51.8753061HistorischeKaarten:paleomidMap made by De Clercq, Maikel (RCMG, Ugent) in the ° century. More information through the metadata and on the website of <a href='http://www.vliz.be/hisgiskust' target='_blank'>HisGISKust</a>.urn:ogc:def:crs:EPSG::43262.23700659999992 50.99808002929263.38705986514947 51.8753061000004Kustportaal:passagiers_09Passenger traffic in the Flemish ports. Source: Merckx, J.P. (2020). Zeehavens en luchthavens in Vlaanderen. Feiten, statistieken en indicatoren voor 2019. Mobiliteitsraad van Vlaanderen: Brussel. 195 pp.Transport networksurn:ogc:def:crs:EPSG::43262.83020520210266 50.97754669189454.50626516342163 51.3796577453613WoRMS:patagoniafeaturespatagoniaurn:ogc:def:crs:EPSG::4326-75.7449158433915 -55.9796333310134-62.1052445169209 -36.0530090333402Kustportaal:cultuurgrond_22Percentage of the agricultural area relative to total area of the coastal and hinterland municipalities. Source: Department Agriculture and Fisheries based on FPS Economy, S.M.E.s, Self-employed and Energy – StatbelAgricultural and aquaculture facilitiesurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043Kustportaal:lw_fys_season_nitrammNutrient analysis is performed for each of the 9 monthly and 8 seasonal LifeWatch stations. Water is sampled with Niskin bottles at 3 meters depth and filtered directly. The filtered water is stored in the freezer to be analyzed later on by the Royal Netherlands Institute for Sea Research (NIOZ).RV Simon StevinsamplingstationoceanographychemistryOceanographic geographical featuresurn:ogc:def:crs:EPSG::43262.256 51.1860833.221017 51.8Kustportaal:lw_fys_season_fosfsiliNutrient analysis is performed for each of the 9 monthly and 8 seasonal LifeWatch stations. Water is sampled with Niskin bottles at 3 meters depth and filtered directly. The filtered water is stored in the freezer to be analyzed later on by the Royal Netherlands Institute for Sea Research (NIOZ).RV Simon StevinsamplingstationoceanographychemistryOceanographic geographical featuresurn:ogc:def:crs:EPSG::43262.256 51.1860833.221017 51.8Kustportaal:lw_fys_season_suspensieSuspended particulate matter (SPM) is quantified for each of the 9 monthly and 8 seasonal LifeWatch stations. Water is sampled with Niskin bottles at 3 meters depth and stored in the fridge. After filtration and dehydration, the amount of dried residue is measured.RV Simon StevinsamplingstationoceanographychemistryOceanographic geographical featuresurn:ogc:def:crs:EPSG::43262.256 51.1860833.221017 51.8Kustportaal:lw_fys_season_tempsalAt each of the 9 monthly and 8 seasonal LifeWatch stations, a CTD (Conductivity Temperature Depth) profile is taken. The temperature and salinity values displayed here are the measurements at 3 meters depth.RV Simon StevinsamplingstationoceanographyphysicsOceanographic geographical featuresurn:ogc:def:crs:EPSG::43262.256 51.1860833.221017 51.8Scheldemonitor:fysiotoop2010The physiotopic map is a derived product of aerial photographs, bathymetry and tidal parameters, supplemented with sediment characteristics. Coupled to the flights for topography in the Western Scheldt and the Lower Sea Scheldt, multispectral images and CIR orthophotos are alternatingly recorded every 3 years. The obtained map material is supplemented with the lithological data. Based on the study of current geomorphological maps and on the interpretation of those maps, demarcated mapping units will be used. A physiotopic map is the intermediate product for the creation of an ecotopemap.ecotopenkaartZeescheldeecotopenschorrenslikkenfysiotopenecotope mapSea Scheldtecotopessalt marshesmud flatsphysiotopesurn:ogc:def:crs:EPSG::43264.21654332745445 51.123431138564.40221840380541 51.3748711551559Scheldemonitor:fysiotoop_mergedurn:ogc:def:crs:EPSG::43264.21654332734017 51.123431138564.40311258024453 51.3748713861198Scheldemonitor:fysiotoop2011The physiotope map is a derived product of aerial photographs, bathymetry and tidal parameters, supplemented with sediment characteristics. Coupled to the flights for topography in the Western Scheldt and the Lower Sea Scheldt, multispectral images and CIR orthophotos are alternatingly recorded every 3 years. The obtained map material is supplemented with the lithological data. Based on the study of current geomorphological maps and on the interpretation of those maps, demarcated mapping units will be used. A physiotope map is the intermediate product for the creation of an ecotopemap.ecotopenkaartZeescheldeecotopenschorrenslikkenfysiotopenecotope mapSea Scheldtecotopessalt marshesmud flatsphysiotopesurn:ogc:def:crs:EPSG::43264.21654332877915 51.12343118979864.40311258024453 51.3748713852211Scheldemonitor:fysiotoop2012The physiotope map is a derived product of aerial photographs, bathymetry and tidal parameters, supplemented with sediment characteristics. Coupled to the flights for topography in the Western Scheldt and the Lower Sea Scheldt, multispectral images and CIR orthophotos are alternatingly recorded every 3 years. The obtained map material is supplemented with the lithological data. Based on the study of current geomorphological maps and on the interpretation of those maps, demarcated mapping units will be used. A physiotope map is the intermediate product for the creation of an ecotopemap.ecotopenkaartZeescheldeecotopenschorrenslikkenfysiotopenecotope mapSea Scheldtecotopessalt marshesmud flatsphysiotopesurn:ogc:def:crs:EPSG::43264.21654332734017 51.12343118979864.40311104934647 51.3748713861198Scheldemonitor:zeelandpoldersThe boundaries of the polders in the Water boards Zeeuwse Eilanden en Zeeuws-Vlaanderen.PoldersANENetherlandsZeelandgeografieNederlandZeelandZeeuwse EilandenZeeuws-VlaanderenPoldersANENetherlandsZeelandGeographyNetherlandsZeelandZeelandic islandsZeelandic FlandersHydrographyurn:ogc:def:crs:EPSG::43263.35852401726456 51.20086718764384.29539090938158 51.7437695648313Scheldemonitor:bevolkingskernen2001Scheldemonitorurn:ogc:def:crs:EPSG::289923.282 50.7467.231 53.485Kustportaal:bevolkingsdichth_33Number of inhabitants/km² Source: FOD Binnenlandse zaken, Algemene Directie Instellingen en Bevolking, Rijksregisterdensityopen spaceAdministrative unitsurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043Scheldemonitor:bevolking2008Population density of the Scheldt municipalities in 2008 as calculated in the project 'Indicators of the Long-Term Vision 2030 (LTV) of the Scheldt Estuary'.demografiebevolkingdichtheidoppervlakteinwonerstotaalgemeenteaantalScheldeestuariumzijrivierenDemographypopulationdensityareainhabitantstotalmunicipalitynumberScheldtestuarytributariesPopulation distribution and demographyurn:ogc:def:crs:EPSG::289922.511 50.7445.185 51.668Morocco:portPort Al Hoceima CASE - PEGASOprojectportfeaturesPEGASOMoroccoAl Hoceimaurn:ogc:def:crs:EPSG::4326-3.92664527893066 35.2451210021973-3.91768169403076 35.2512092590332Scheldemonitor:antwerpharbourWater area in front of the port of Antwerp based on the ESRI - Europe Water.polygonwaterriverslakesdrainageinlandWatersEurope2002Hydrographyurn:ogc:def:crs:EPSG::43264.20514904104206 51.22820000006914.4197 51.3637Kustportaal:precarea_gootebankPrecautionary area 'At Gootebank'. IMO (2017) IMO (2017). IMO (2017)Transportationeconomic planningenvironmental planningmaritime navigationArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.80202479996587 51.41718070788443.04751970000817 51.4840000079242Kustportaal:precarea_thorntonPrecautionary area 'In the vicinity of Thornton and Blighbank' (IMO, 2017). Shipping is forbidden in this area cf. KB 11 april 2012 tot instelling van een veiligheidszone rond de kunstmatige eilanden, installaties en inrichtingen voor de opwekking, de opslag en het transport van energie uit het water, de stromen en de winden in de zeegebieden onder Belgische rechtsbevoegdheid. IMO (2017) and RD of11 April 2012Transportationeconomic planningenvironmental planningmaritime navigationArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.69749999994625 51.48400000792423.09627810001679 51.74483330808Emodnet:mahi_trackProject Mahi is a project amongst four engineers with the goal to develop, build and launch an unmanned, autonomous vessel to cross the Atlantic Ocean. During the Atlantic crossing, the vessel will collect atmospheric and oceanographic data which will be sent via satellite connection to the Project Mahi website.urn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 90.0NorthSea:habitatrichtlijn_voorstelHabitat conservationhabitat conservatievoorgestelde gebiedenproposed habitatshabitat derectivehabitatrichtlijnurn:ogc:def:crs:EPSG::313002.290704366336657 51.0899169636143142.922260275583002 51.53043638650775Kustportaal:welvaartsindex_36This index compares the average tax income per inhabitant of a given administrative unit (e.g. municipality) with the average income per inhabitant in Belgium. For Belgium, this index is assimilated to 100 (Source: Federal Public Service Economy, SMEs, the Self-employed and Energy). If the prosperity index of a given administrative unit exceeds 100, this means that the average income of its inhabitants is higher than the national average income.ProsperityIncomepovertyAdministrative unitsurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043Scheldemonitor:nl_besch_natuurmonnl_besch_natuurmonScheldemonitorurn:ogc:def:crs:EPSG::289923.303 50.8346.844 53.398Kustportaal:wrakken_mb2016100403The individual protective measures for recognised ship wreck sites. Source: Ministerial decree of 4 October 2016 'betreffende individuele maatregelen ter bescherming van het cultureel erfgoed onder water'.wrakwreckbeschermdprotectedindirectProtected sitesurn:ogc:def:crs:EPSG::43262.3332 51.18683.16162 51.5524Kustportaal:wrakken_kb20260319Recognised shipwreck sites with protective measures. Source: Royal decree of 19 March 2026 'tot vaststelling van het marien ruimtelijk plan voor de periode van 2026 tot 2034 in de Belgische zeegebieden'.wrakken_kb20260319featuresurn:ogc:def:crs:EPSG::326312.331797380463995 51.167451296066643.1621255183209396 51.552446727128775Belgium:belgium_provincesThis dataset contains all the boundaries of all the Belgian provinces. It also contains the INS code and the French and Dutch name of each province. Source: ESRI BeluxBelgiumBelgiqueBelgiëWalloniaWallonieWalloniëWalloon RegionRégion wallonneWaals GewestwalloonwallonnewaalsFlandersFlandreVlaanderenFlemish RegionRégion flamandeVlaams GewestFlemishFlamandeVlaamsBrusselsBruxellesBrusselbelgianbelgischbelgeLimitLimiteGrenslimitslimitesgrenzenDivisionIndelingEsriEsriBeluxBeluxEsri BeluxSHPProvinceProvincieprovincesProvinciesboundariespeopleAdministrative unitsurn:ogc:def:crs:EPSG::38572.545705508357612 49.496882711889496.4081000767846445 51.505112914084314Scheldemonitor:nlprovincesprovinciesNederlandNederlandse provinciesurn:ogc:def:crs:EPSG::289923.254 50.7357.242 53.564ETN:OTN_qc_messagesThe avalaible QC messages with description for the deployments and animals.featuresOTN_qc_messagesurn:ogc:def:crs:EPSG::404000-1.0 -1.00.0 0.0Morocco:bathingqualityQuality of bathing water (1993-2011)featuresbathingqualityurn:ogc:def:crs:EPSG::4326-3.92647004127502 35.234546661377-3.92300987243652 35.2448310852051Kustportaal:stortintensiteit_02Quantities of dredged material dumped per calendar year since 2007 (tonnes dry matter) on the respective dumping sites. Source: Lauwaert, B.; De Witte, B.; Devriese, L.; Fettweis, M.; Martens, C.; Timmermans, S.; Van Hoey, G.; Vanlede, J. (2016). Synthesis report on the effects of dredged material dumping on the marine environment (licensing period 2012-2016). RBINS-OD Nature/ILVO/AMT - Afdeling Maritieme Toegang/AMCS/FHR: Brussels. 107 pp.Geologyurn:ogc:def:crs:EPSG::43262.71949420301472 51.24198647451983.27469688085539 51.4695976751999Scheldemonitor:wijk2008Scheldemonitorwijk2008urn:ogc:def:crs:EPSG::289923.254 50.7347.243 53.56NorthSea:ramsar_bcpurn:ogc:def:crs:EPSG::43262.52247638187606 50.937508713183.37369802317486 51.3686412224455World:ramsarramsarconventieurn:ogc:def:crs:EPSG::4326-81.8389053344727 -20.2706565856934105.293937683105 71.5510025024414Scheldemonitor:nl_ramsarScheldemonitornl_ramsarurn:ogc:def:crs:EPSG::289923.185 51.3087.225 53.583Europe:emodnet_shellfish_rationpjan22Source data: - https://data.marine.copernicus.eu/product/NWSHELF_MULTIYEAR_BGC_004_011/description - https://ows.emodnet-humanactivities.eu/geonetwork/srv/api/records/aa0d2b45-49c4-4b42-86bb-8971a3c2d2ccfeaturesemodnet_shellfish_rationpjan22urn:ogc:def:crs:EPSG::4326-10.350463566999963 36.0902888890000828.412291795000044 69.86808300000007NorthSea:receiversReceiversurn:ogc:def:crs:EPSG::43262.29866666666667 51.16016666666673.813691 51.757SAIL:sailregionssailregionsSAILurn:ogc:def:crs:EPSG::4326-0.508 49.9694.28 52.093WoRMS:rsdfeaturesrsdurn:ogc:def:crs:EPSG::4326-180.004244491411 -85.4702909329403180.000000335276 90.0Europe:denmarkEurope Level 1 Provinces represents the first level (or highest level available) subnational administrative units for Denmark.Europedenmarkurn:ogc:def:crs:EPSG::43268.073 54.55915.194 57.751BWZee:macrorelThe reliability map of macrobenthos of the BPNS shows the reliability of the values of this ecosystem component and reflects the sampling/observation intensity of the Belgian Part of the North Sea. The data availability could be assessed by determining the number of samples (/observations) of each ecosystem component taken (/made) in each subzone. If certain assessment questions could not be answered due to a lack of available data, this should be noted, because this could seriously lower the reliability of the resulting biological valuation. This can easily be done by looking at the number of assessment questions that could be answered for each subzone in relation to the maximum amount of questions answered for a subzone. Such quality labels should also be consulted by anyone using the biological valuation maps. Attaching such ‘reliability labels’ also helps identifying knowledge gaps, which could direct scientific research in the future.marinebirdscharacteristicsindicatorsmacrobenthossediment compositionANEBelgiumBelgian Continental Shelf (BCS)biologyvaluation mapBelgian Continental Shelfseabirdsepibenthosdemersal fishdemersalfishBelgian Science Policy (BELSPO)Onderzoeksdomein VisserijUniversiteit GentOnderzoeksgroep Mariene Biologie (MARBIOL)Renard Centre of Marine Geology (RCMG)Vlaams Instituut voor de Zee (VLIZ)Vlaamse overheid; Beleidsdomein LeefmilieuNatuur en Energie; Instituut voor Natuur- en Bosonderzoek (INBO)GISmapsdatalowhighvaluation questionsHabitats and biotopesurn:ogc:def:crs:EPSG::326312.2304151483662813 51.0873439299001653.361533764039047 51.800156113285254NorthSea:wmp_rentelRentellocatie turbinesturbineswindmolenparkwindmolensurn:ogc:def:crs:EPSG::43262.89071926124701 51.56404149690993.00096847606201 51.6180965602702Morocco:riversRivers; Al Hoceima CASE - PEGASOprojectfeaturesriversPEGASOAl HoceimaMoroccoTazaTaounateurn:ogc:def:crs:EPSG::4326-4.00063323974609 35.0719757080078-3.80200266838074 35.2023544311523Emodnet:cprgridCPR standard areas are pre-defined areas used historically within the Continuous Plankton Recorder Survey. They include standar areas form the Gretar North Sea and North Atlnaic OceanEmodnetCPRNorth Atlantic OceanNorth SeaPlanktonurn:ogc:def:crs:EPSG::4326-71.0 40.011.0 66.0Scheldemonitor:saliniteit_harbasinThe different salinity zones in the Western Scheldt, Sea Scheldt and tributaries based on the Venice system: fresh water (<0.5), oligohaline (0.5-5), mesohaline (5-18) and polyhaline (18-30).fresh longfresh shortfresh tributarymesohalineoligohalinepolyhalinepolyhalienmesohalienoligohalienzoet watersaliniteitzoutScheldezijrivierenestuariumverblijftijdlangkortfresh Longfresh Shortfresh tributarymesohalineoligohalinepolyhalinemesohalinefreshwatersalinitysaltScheldttributariesestuarydwell timelongshortHydrographyurn:ogc:def:crs:EPSG::313003.407 50.9734.753 51.538NorthSea:zand_grindwinningzandwinninggrindwinningzandgrindextractieurn:ogc:def:crs:EPSG::313002.4004057028632113 51.229204365526183.062236202068983 51.71144937154007Scheldemonitor:scheldtbanksSandbanks and shoals in the Western Scheldt and Lower Sea ScheldtbankenbathymetrieScheldebanksbathymetryScheldturn:ogc:def:crs:EPSG::43263.574 51.2034.398 51.462Scheldemonitor:stroomgebiedThe basin of the Scheldt has an area of 21,860 km2 and is bordered by the North Sea, by a number of coastal basins north of the Seine and the Meuse and IJzer basin. The natural boundary of the basin on land is created by the topography of the area: the differences in elevation of the soil determine how and to which basin the water runs off and give it the boundary of the basinfeaturesstroomgebiedScheldeAtlasurn:ogc:def:crs:EPSG::43262.04495351290434 49.87977123083335.63192142048686 51.5612846834807MarineRegions:seavox_v16urn:ogc:def:crs:EPSG::4326-181.800201416016 -79.4131317138672181.800018310547 90.8429107666016MarineRegions:seavox_v17SeaVoX is a combined SeaDataNet and MarineXML vocabulary content governance group, it is moderated by BODC (https://www.bodc.ac.uk/data/codes_and_formats/seavox/). This polygon data set defines the geographic extent of the terms specified by the SeaVoX vocabulary governance to describe coherent regions of the hydrosphere. It includes land masses enclosing freshwater bodies. The coastline data set used in the shapefile is taken from the World Vector Shoreline data set (scale 1:250,000). Reference for the data set: "polygon data set of the extent of water bodies from the SeaVoX Salt and Fresh Water Body Gazetteer, http://vocab.nerc.ac.uk/collection/C19/current/". The data file follows a hierarchical structure with each region consisting of one or more polygons. This approach was adopted to avoid the need to have overlapping polygons in regions where a sea area included a number of sub-regions, for example the Mediterranean Sea includes the Aegean Sea, Ionian Sea etc. The following gives the level in the structure at which particular regions, which consist of more than one polygon can be found. This level in the structure is given by the polygon's attributes. Attribute: REGION: ARCTIC OCEAN, ATLANTIC OCEAN,BALTIC SEA,INDIAN OCEAN,MEDITERRANEAN REGION,PACIFIC OCEAN,SOUTH CHINA AND EASTERN ARCHIPELAGIC SEAS,SOUTHERN OCEAN,MAINLAND NORTH AMERICAMAINLAND,EUROPE,MAINLAND ASIA Attribute: LEVEL_1: ARAFURA SEA,DAVIS SEA,GREENLAND SEA,GULF OF BOTHNIA,MEDITERRANEAN SEA,NORTH ATLANTIC OCEAN,NORTH PACIFIC OCEAN,ROSS SEA,SOUTH ATLANTIC OCEAN,SOUTH PACIFIC OCEAN,TIMOR SEA, LAURENTIAN GREAT LAKED Attribute: LEVEL_2: MEDITERRANEAN SEA, WESTERN BASIN,MEDITERRANEAN SEA,EASTERN BASIN,NORTHEAST ATLANTIC OCEAN (40W),NORTHEAST PACIFIC OCEAN (180W),NORTHWEST ATLANTIC OCEAN (40W),NORTHWEST PACIFIC OCEAN (180W),SOUTHEAST ATLANTIC OCEAN (20W),SOUTHEAST PACIFIC OCEAN (140W),SOUTHWEST ATLANTIC OCEAN (20W),SOUTHWEST PACIFIC OCEAN (140W) LAKE ERIE, LAKE SUPERIOR, DETROIT RIVER, ST. CLAIR RIVER, LAKE ST. CLAIR, NIAGARA RIVER, LAKE HURON, LAKE ONTARIO, LAKE MICHIGAN, ST. MARYS RIVER Attribute: LEVEL_3: BERING SEA,CORAL SEA,ENGLISH CHANNEL,JAPAN SEA,NORTH SEA,TASMAN SEA,YELLOW SEA Attribute: LEVEL_4: CARDIGAN BAY,DOVER STRAIT,FIRTH OF CLYDE,LIVERPOOL BAY,NORTH CHANNEL,POOLE BAY,SOLENT,SOLWAY FIRTH Attribute: SUB_REGION: This is the lowest level in the structure. This version of the shapefile corresponds to version 17 of the SeaVoX Salt and Fresh Water Body Gazetteer. This version includes the following updates: Addition of 5 new sub-regions: Hollands Diep, Krammer, Grevelingen, Haringvliet, and Bay of Brest Credits Polygon data set of the extent of water bodies from the SeaVoX Salt and Fresh Water Body Gazetteer, http://vocab.nerc.ac.uk/collection/C19/current/ Use limitations The source of the data set should be attributed as: "polygon data set of the extent of water bodies from the SeaVoX Salt and Fresh Water Body Gazetteer, http://vocab.nerc.ac.uk/collection/C19/current/"Administrative unitsurn:ogc:def:crs:EPSG::4326-181.800201416016 -79.4131317138672181.800018310547 90.8429107666016MarineRegions:seavox_v18SeaVoX is a combined SeaDataNet and MarineXML vocabulary content governance group, it is moderated by BODC (https://www.bodc.ac.uk/data/codes_and_formats/seavox/). This polygon data set defines the geographic extent of the terms specified by the SeaVoX vocabulary governance to describe coherent regions of the hydrosphere. It includes land masses enclosing freshwater bodies. The coastline data set used in the shapefile is taken from the World Vector Shoreline data set (scale 1:250,000). Reference for the data set: "polygon data set of the extent of water bodies from the SeaVoX Salt and Fresh Water Body Gazetteer, http://vocab.nerc.ac.uk/collection/C19/current/". The data file follows a hierarchical structure with each region consisting of one or more polygons. This approach was adopted to avoid the need to have overlapping polygons in regions where a sea area included a number of sub-regions, for example the Mediterranean Sea includes the Aegean Sea, Ionian Sea etc. The following gives the level in the structure at which particular regions, which consist of more than one polygon can be found. This level in the structure is given by the polygon's attributes. Attribute: REGION: ARCTIC OCEAN, ATLANTIC OCEAN,BALTIC SEA,INDIAN OCEAN,MEDITERRANEAN REGION,PACIFIC OCEAN,SOUTH CHINA AND EASTERN ARCHIPELAGIC SEAS,SOUTHERN OCEAN,MAINLAND NORTH AMERICAMAINLAND,EUROPE,MAINLAND ASIA Attribute: LEVEL_1: ARAFURA SEA,DAVIS SEA,GREENLAND SEA,GULF OF BOTHNIA,MEDITERRANEAN SEA,NORTH ATLANTIC OCEAN,NORTH PACIFIC OCEAN,ROSS SEA,SOUTH ATLANTIC OCEAN,SOUTH PACIFIC OCEAN,TIMOR SEA, LAURENTIAN GREAT LAKED Attribute: LEVEL_2: MEDITERRANEAN SEA, WESTERN BASIN,MEDITERRANEAN SEA,EASTERN BASIN,NORTHEAST ATLANTIC OCEAN (40W),NORTHEAST PACIFIC OCEAN (180W),NORTHWEST ATLANTIC OCEAN (40W),NORTHWEST PACIFIC OCEAN (180W),SOUTHEAST ATLANTIC OCEAN (20W),SOUTHEAST PACIFIC OCEAN (140W),SOUTHWEST ATLANTIC OCEAN (20W),SOUTHWEST PACIFIC OCEAN (140W), LAKE ERIE, LAKE SUPERIOR, DETROIT RIVER, ST. CLAIR RIVER, LAKE ST. CLAIR, NIAGARA RIVER, LAKE HURON, LAKE ONTARIO, LAKE MICHIGAN, ST. MARYS RIVER Attribute: LEVEL_3: BERING SEA,BRISTOL CHANNEL,CELTIC SEA,CORAL SEA,ENGLISH CHANNEL,GULF OF MAINE,INNER SEAS OFF THE WEST COAST OF SCOTLAND,IRISH SEA,JAPAN SEA,NORTH SEA,TASMAN SEA,YELLOW SEA Attribute: LEVEL_4: CARDIGAN BAY,DOVER STRAIT,FIRTH OF CLYDE,LIVERPOOL BAY,NORTH CHANNEL,POOLE BAY,SOLENT,SOLWAY FIRTH Attribute: SUB_REGION: This is the lowest level in the structure. This version of the shapefile corresponds to version 18 of the SeaVoX Salt and Fresh Water Body Gazetteer. This version includes the following updates: addition of 1 new level 3 area (Gulf of Maine) and 1 new sub-region (Gulf of Maine) Credits Polygon data set of the extent of water bodies from the SeaVoX Salt and Fresh Water Body Gazetteer, http://vocab.nerc.ac.uk/collection/C19/current/ Use limitations The source of the data set should be attributed as: "polygon data set of the extent of water bodies from the SeaVoX Salt and Fresh Water Body Gazetteer, http://vocab.nerc.ac.uk/collection/C19/current/"Administrative unitsurn:ogc:def:crs:EPSG::4326-181.800201416016 -79.4131317138672181.800018310547 90.8429107666016MarineRegions:seavox_v19SeaVoX is a combined SeaDataNet and MarineXML vocabulary content governance group, it is moderated by BODC (https://www.bodc.ac.uk/data/codes_and_formats/seavox/). This polygon data set defines the geographic extent of the terms specified by the SeaVoX vocabulary governance to describe coherent regions of the hydrosphere. It includes land masses enclosing freshwater bodies. The coastline data set used in the shapefile is taken from the World Vector Shoreline data set (scale 1:250,000). Reference for the data set: British Oceanographic Data Centre (BODC), United Kingdom; (2023): Polygon dataset of the extent of water bodies from the SeaVoX Salt and Fresh Water Body Gazetteer (v19). Available online at https://www.marineregions.org/. https://doi.org/10.14284/590". The data file follows a hierarchical structure with each region consisting of one or more polygons. This approach was adopted to avoid the need to have overlapping polygons in regions where a sea area included a number of sub-regions, for example the Mediterranean Sea includes the Aegean Sea, Ionian Sea etc. The following gives the level in the structure at which particular regions, which consist of more than one polygon can be found. This level in the structure is given by the polygon's attributes. Attribute: REGION: ARCTIC OCEAN, ATLANTIC OCEAN,BALTIC SEA,INDIAN OCEAN,MEDITERRANEAN REGION,PACIFIC OCEAN,SOUTH CHINA AND EASTERN ARCHIPELAGIC SEAS,SOUTHERN OCEAN,MAINLAND NORTH AMERICAMAINLAND,EUROPE,MAINLAND ASIA Attribute: LEVEL_1: ARAFURA SEA,DAVIS SEA,GREENLAND SEA,GULF OF BOTHNIA,MEDITERRANEAN SEA,NORTH ATLANTIC OCEAN,NORTH PACIFIC OCEAN,ROSS SEA,SOUTH ATLANTIC OCEAN,SOUTH PACIFIC OCEAN,TIMOR SEA, LAURENTIAN GREAT LAKED Attribute: LEVEL_2: MEDITERRANEAN SEA, WESTERN BASIN,MEDITERRANEAN SEA,EASTERN BASIN,NORTHEAST ATLANTIC OCEAN (40W),NORTHEAST PACIFIC OCEAN (180W),NORTHWEST ATLANTIC OCEAN (40W),NORTHWEST PACIFIC OCEAN (180W),SOUTHEAST ATLANTIC OCEAN (20W),SOUTHEAST PACIFIC OCEAN (140W),SOUTHWEST ATLANTIC OCEAN (20W),SOUTHWEST PACIFIC OCEAN (140W), LAKE ERIE, LAKE SUPERIOR, DETROIT RIVER, ST. CLAIR RIVER, LAKE ST. CLAIR, NIAGARA RIVER, LAKE HURON, LAKE ONTARIO, LAKE MICHIGAN, ST. MARYS RIVER Attribute: LEVEL_3: BERING SEA,BRISTOL CHANNEL,CELTIC SEA,CORAL SEA,ENGLISH CHANNEL,GULF OF MAINE,INNER SEAS OFF THE WEST COAST OF SCOTLAND,IRISH SEA,JAPAN SEA,NORTH SEA,TASMAN SEA,YELLOW SEA Attribute: LEVEL_4: CARDIGAN BAY,DOVER STRAIT,FIRTH OF CLYDE,LIVERPOOL BAY,NORTH CHANNEL,POOLE BAY,SOLENT,SOLWAY FIRTH Attribute: SUB_REGION: This is the lowest level in the structure. This version of the shapefile corresponds to version 19 of the SeaVoX Salt and Fresh Water Body Gazetteer. This version includes the following updates: name sub-region 'Arctic Ocean' has changed to 'Central Arctic Ocean' Credits British Oceanographic Data Centre (BODC), United Kingdom; (2023): Polygon dataset of the extent of water bodies from the SeaVoX Salt and Fresh Water Body Gazetteer (v19). Available online at https://www.marineregions.org/. https://doi.org/10.14284/590 Use limitations The source of the data set should be attributed as: British Oceanographic Data Centre (BODC), United Kingdom; (2023): Polygon dataset of the extent of water bodies from the SeaVoX Salt and Fresh Water Body Gazetteer (v19). Available online at https://www.marineregions.org/. https://doi.org/10.14284/590featuresseavox_v19urn:ogc:def:crs:EPSG::4326-180.00019836399997 -78.5702819819999180.00000000000023 90.00005340600012Emodnetbio:eb185_benthos_full_matchedThis product is built from two existing EMODnet data products. It uses the EUSeaMap product created by EMODNet Seabed Habitats and the Presence/absence data of macrozoobenthos in the European Seas product created by EMODnet Biology to obtain lists of all macrobenthic species occurring in all EUNIS seabed habitat types. For the purposes of this product the seabed habitat map is summarised on a grid at approx. 500m resolution, with each grid cell assigned to the dominant EUNIS code present within it. Summaries of benthic diversity are created for each grid cell, as well as more synthetic summaries by EUNIS category. The full matched benthos community data was written to file in the derived data folder as benthos_full_matched in parquet format with gzip compression.featureseb185_benthos_full_matchedurn:ogc:def:crs:EPSG::4326-32.28091049194336 28.18761062622070342.83333206176758 79.1833267211914Emodnetbio:eb185_eusm23_totalThis product is built from two existing EMODnet data products. It uses the EUSeaMap product created by EMODNet Seabed Habitats and the Presence/absence data of macrozoobenthos in the European Seas product created by EMODnet Biology to obtain lists of all macrobenthic species occurring in all EUNIS seabed habitat types. For the purposes of this product the seabed habitat map is summarised on a grid at approx. 500m resolution, with each grid cell assigned to the dominant EUNIS code present within it. Summaries of benthic diversity are created for each grid cell, as well as more synthetic summaries by EUNIS category. The full matched benthos community data was written to file in the derived data folder as benthos_full_matched in parquet format with gzip compression.featureseb185_eusm23_totalurn:ogc:def:crs:EPSG::4326-35.97180141999996 23.6804721800000442.99962379300007 81.54050178800009MarineHeritage:seagrass_pntSeagrass Data supplied by UNEP World Conservation Monitoring Centre (UNEP-WCMC)featuresseagrass_pnturn:ogc:def:crs:EPSG::4326-176.640274047852 -46.9166831970215178.533355712891 69.9999847412109MarineHeritage:seagrassSeagrass Data supplied by UNEP World Conservation Monitoring Centre (UNEP-WCMC)seagrassfeaturesurn:ogc:def:crs:EPSG::4326-175.427886962891 -28.6104106903076178.389297485352 58.3405990600586MarineHeritage:seamountshttp://seamounts.sdsc.edu/seamountsfeaturesurn:ogc:def:crs:EPSG::4326-179.633331298828 -77.1500015258789179.699966430664 86.5833206176758Emodnet:chlorophyllpointsChlorophyll data points for all seasons from 1980 to 2008, based on chlorophyll data from Waterbase - Transitional, coastal and marine waters (European Environmental Agency). Waterbase is the generic name given to the EEA databases on the status and quality of Europe's rivers, lakes, groundwater bodies and transitional, coastal and marine waters, and on the quantity of Europe's water resources.biologyecologybiodiversityenvironmental quality/pollutionphysicalwater compositionmarinebrackish waterterrestrialbiotachlorophyllcoastal watersdischargehazardous substanceslong-term monitoringmarine environmentnutrientsorganicqualityriverswater qualityeuropeOceanographic geographical featuresurn:ogc:def:crs:EPSG::4326-20.008 33.99932.001 72.0Emodnet:chlorophyllExtrapolated chlorophyll values for all seasons from 1980 to 2008 on a 1x1 degree grid for Europe, based on distinct surface chlorophyll data from Waterbase -Transitional, coastal and marine waters (European Environmental Agency). Waterbase is the generic name given to the EEA databases on the status and quality of Europe's rivers, lakes, groundwater bodies and transitional, coastal and marine waters, and on the quantity of Europe's water resources.biologyecologybiodiversityenvironmental quality/pollutionphysicalwater compositionmarinebrackish waterterrestrialbiotachlorophyllcoastal watersdischargehazardous substanceslong-term monitoringmarine environmentnutrientsorganicqualityriverswater qualityeuropeOceanographic geographical featuresurn:ogc:def:crs:EPSG::4326-19.0 35.028.0 72.0Lifewatch:huisvuilophaling_oostendeUtility and governmental servicesurn:ogc:def:crs:EPSG::313702.836629729001556 51.183854407932823.0045283174836976 51.24544570765143Paardenmarkt:corelocations_2020Shallow vibrocores from 8 sites surrounding the dumpsite (2020). Core acquisition by VLIZ.featurescorelocations_2020urn:ogc:def:crs:EPSG::43263.217399835586548 51.3641319274902343.314383506774902 51.4007682800293Paardenmarkt:seismicprofiles_2007Network of seismic profiles, central dumpsite (2007). 2D data, parametric echosounder. Data acquisition by UGhent/RCMG.seismicprofiles_2007featuresurn:ogc:def:crs:EPSG::43263.238354444503784 51.352676391601563.275996446609497 51.36864471435547Paardenmarkt:seismicprofiles_2017Network of seismic profiles, central dumpsite (2017). 2D data, parametric echosounder. Data acquisition by UGhent/RCMG.featuresseismicprofiles_2017urn:ogc:def:crs:EPSG::43263.255692958831787 51.3594398498535163.264981508255005 51.3597412109375Scheldemonitor:landenNederlandFrankrijkBelgiëurn:ogc:def:crs:EPSG::4326-5.182 41.3339.56 53.561Scheldemonitor:bnfulLandenurn:ogc:def:crs:EPSG::4326-8.646 41.33315.043 60.862Scheldemonitor:urbanSelection made by VLIZ of the Europe Urbanized Areas of Europe from ESRI.Stedenurn:ogc:def:crs:EPSG::43263.175 51.0065.105 51.508Kustportaal:sep_westhinderTransportationeconomic planningenvironmental planningmaritime navigationArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.3655903339386 51.30907058715822.40887832641602 51.3326301574707Kustportaal:sep_northhindersouthSeparation zone TSS North Hinder South. IMO (2017)Transportationeconomic planningenvironmental planningmaritime navigationArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.23694209986665 51.54556690796022.54333329991833 51.7778350080996Kustportaal:sep_offnorthhinderSeparation zone TSS Off North Hinder. IMO (2017)Transportationeconomic planningenvironmental planningmaritime navigationArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.64483499993675 51.61966500800512.78583499996225 51.7351650080742Kustportaal:appartementen_37The proportion of appartments against the different types of housing. Source: FOD Financiën, Administratie van het kadaster, de registratie en de domeinenhousingurbanisationspatial planningBuildingsurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043Kustportaal:bebouwdopp_18Share of built-up surface area in the coastal and hinterland municipalities for each year. Source: FPS Economy, General Directorate of Statistics and Economic Information, based on the land registerBuildingsurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043Kustportaal:gndomicilie_17The share of housing facilities without domicile in the coastal and hinterland municipalities on January 1 of each year. Source: Kadasterkubus of the Province of West FlandersPopulation distribution and demographyurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043Kustportaal:verhoogdetegemoetk_35The proportion of citizens (%) of the municipality who receive additional financial assistance. Source: Statistiek VlaanderenIncomepovertyeconomysocialAdministrative unitsurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043Kustportaal:alleenstaandehuish_34Proportion of single households. Source: FOD Binnenlandse zaken, Algemene Directie Instellingen en Bevolking, RijksregisterPopulationHouseholdAdministrative unitsurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043Kustportaal:mariculture_spuikomCommercial shellfïsh-culture area in the Sluice Dock (Oostende, Belgium). This activity has been ongoing since 1996 and has recently expanded. Geometry based on georeferenced survey plan of 2018-02-08.maricultuurmariculturespuikomAgricultural and aquaculture facilitiesurn:ogc:def:crs:EPSG::43262.94882869720459 51.22478866577152.95619320869446 51.2319755554199Scheldemonitor:ais_line_crossingsThis layer was created out of a database of AIS data, gathered by both VLIZ and the ScheldeRadarKeten. This database is hosted by VLIZ and has a temporal range from 2005 to the present. The layers depicted here are example products, showing crossing of ships in the Scheldt estuary, on a yearly basis. Other products or insights can be requested using the helpdesk of the VLIZ Marine Data Center, which you can contact via mail at data@vliz.be.featuresais_line_crossingsurn:ogc:def:crs:EPSG::43263.399193867012419 51.185601928992384.343853806284336 51.53442150137054Scheldemonitor:ais_densityThis layer was created out of a database of AIS data, gathered by both VLIZ and the ScheldeRadarKeten. This database is hosted by VLIZ and has a temporal range from 2005 to the present. The layers depicted here are example products, showing density ships in the Scheldt estuary, on a yearly basis. Other products or insights can be requested using the helpdesk of the VLIZ Marine Data Center, which you can contact via mail at data@vliz.befeaturesais_densityurn:ogc:def:crs:EPSG::43262.962571099881417 50.9677384023340144.745841277834479 51.616125828312455Kustportaal:tss_northhindersouthShipping route Northhinder South. IMO (2017)Transportationeconomic planningenvironmental planningmaritime navigationArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.24290669986786 51.4562274079072.62016669993238 51.8014595081137Kustportaal:precarea_northhinderShipping route Northhinder junction. IMO (2017)Transportationeconomic planningenvironmental planningmaritime navigationArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.4770531999061 51.72400000806752.72391949995063 51.8753244081581Kustportaal:tss_offnorthhinderShipping route Off Northhinder. IMO (2017)Transportationeconomic planningenvironmental planningmaritime navigationArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.62016669993238 51.61966500800512.78583499996225 51.7351650080742Kustportaal:tss_westhinderShipping route Westhinder. IMO (2017)Transportationeconomic planningenvironmental planningmaritime navigationArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.33955249988706 51.31212720782142.49866939991431 51.3908479078684Kustportaal:precarea_westhinderShipping route Westhinder precautionary area. IMO (2017)Transportationeconomic planningenvironmental planningmaritime navigationArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.49866939991399 51.34694690784252.77148389996098 51.4041894078766Kustportaal:westpitshippingrouteShipping route Westpit. IMO (2017)Transportationeconomic planningenvironmental planningmaritime navigationArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.97199999999514 51.46466500791273.13034100002269 51.5425795079591Kustportaal:scheepswrakken_20180604Location of shipwrecks in the North Sea and Zeescheldt until 2018. The map is based on information collected by http://www.maritieme-archeologie.be/. "Maritime Heritage" manages a large amount of information about the maritime heritage in Flanders. This information deals with wrecks, maritime structures and sites as well as with objects and events that are linked to a find.wrakerfgoedmaritiemmaritiem erfgoedVlaanderenvoorwerpencoördinaatcategorienationaliteitoorlogschipduikbootvrachtschippleziervaartuigbaggerschiplichtschipsleepbootfregatmijnenleggertorpedovisserijschiptankerwreckheritagemaritimemaritime heritageFlandersobjectscoordinatescategorynationalitywarshipsubmarinefreighterrecreational craftdredging vessellight shiptugboatfrigateminertorpedofishing vesseltankerTransport networksurn:ogc:def:crs:EPSG::43262.305333333 51.114966674.39055 51.84788333NorthSea:ondiepte_detailShapefile van de ondieptes in de Noordzee, layer gebruikt in het kader van het project 'Zee van Toen'urn:ogc:def:crs:EPSG::43260.672 50.9294.016 54.337NorthSea:shoalsbcsNorthSeashoalsbcsurn:ogc:def:crs:EPSG::43262.278 51.0933.344 51.703Paardenmarkt:sidescansconar_2013Side-scan sonar maps of 10 sampling locations  (2013). Data acquisition by Magelas.featuressidescansconar_2013urn:ogc:def:crs:EPSG::43263.245105743408203 51.3538589477539063.273965120315552 51.367916107177734Scheldemonitor:sigmaplan_20160406The Sigma-areas according to the most desirable alternative as approved by the Flemish government. The projects progress and the contours change depending on the phase of the project. This shapefile contains the contours of April 6, 2016.sigmasigmaplangrenzenVlaamse OverheidoverstromingenScheldezijrivierenDeltawerkennatuurherstel1977RuisbroekdijkwerkendijkenoverstromingsgebiedenGOGgecontroleerd overstromingsgebiedstormvloedkeringgeactualiseerdveiligheidWaterweken en ZeekanaalAgentschap voor Natuur en Bos4 pijlersveiligheidnatuurrecreatieeconomiesigmasigma planbordersFlemish GovernmentfloodsScheldttributariesDelta worksnature recovery1977Ruisbroekdyke worksdykesfloodplainsFCAflood control areastorm surge barrierupdatedsecurityWatercourses and Sea channelAgentschap voor Natuur en Bos4 pillarssafetynaturerecreationeconomyArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43263.78324092209305 50.94701159263024.98664110138929 51.375062891417BWZee:ug_rcmg_siclSilt-clay percentage (< 63 μm) on the Belgian continental shelf. Interpolated map using ordinary kriging based on sedisurf@ database hosted by Ghent University, Renard Centre of Marine Geology. Resolution of the map is 250m x 250 m.geologysedimentationsiltclaypercentagegranulometryinterpolationBelgian part of the North Seacontinental shelfBelgiumNorth Seaug_rcmg_siclsedisurf2006gridArcGISGeologyurn:ogc:def:crs:EPSG::326312.229111270464205 51.0873439299001653.3694094206883576 51.87658190879944Emodnetbio:calanus_year_abundancefeaturescalanus_yearurn:ogc:def:crs:EPSG::4326-21.0 40.7512.0 66.75Scheldemonitor:gebiedsindeling_emseActual geographical distribution (2022) of polygons used in the Evaluation Methodology of the Scheldt Estuary (EMSE), as well as in the T2021 evaluation.featuresgebiedsindeling_emseurn:ogc:def:crs:EPSG::258312.963413878256331 50.9684720991476754.769969411626989 51.61538836598055NorthSea:sca_bcpFile gemaakt op basis van coördinaten gepubliceerd in Het Staatsblad.urn:ogc:def:crs:EPSG::43262.505 51.0943.308 51.458NorthSea:spa3_bcpfeaturesspa3_bcpurn:ogc:def:crs:EPSG::43263.06666637752186 51.32435161186223.2722006518255 51.3975002205842NorthSea:spa_bcpFile gecreëerd op basis van coördinaten, gepubliceerd in het Staatsbladurn:ogc:def:crs:EPSG::43262.514 51.1123.272 51.398Emodnetbio:kuenm_modelsThe number of marine seaweeds outside their natural boundaries has increased in the last decades generating impacts on biodiversity and economy. This makes the development of management tools necessary, where species distribution models (SDMs) play a crucial role. SDMs can help in the early detection of invasions and predict the extent of the potential spread. However, modelling non-native marine species distributions is still challenging in terms of model building, evaluation and selection. This product aims to predict the European distribution of four widespread introduced seaweed species selecting the best model building process.featureskuenm_modelsurn:ogc:def:crs:EPSG::4326-35.95833 15.0416742.875 83.70833World:stlawrenceestuaryEl-Sabh, MI, N Silverberg (eds) Oceanography of a large-scale estuarine system, the St. Lawrence. Coastal and Estuarine Studies 39, Springer-Verlag NY The upper estuary starts at Île d'Orléans (upper limit of salt wedge penetration) and the lower estuary ends at the line between Matane and Pointe des Monts. Positons for these locations: Points sur la côte à l'Île d'Orléans -70.8932 47.0414 -70.7648 46.9172 Points sur la côte à Pointe-des-Monts -67.1230 48.9511 -67.3799 49.3237urn:ogc:def:crs:EPSG::4326-70.886 46.917-67.127 49.318World:mexico_statesfeaturesmexico_statesurn:ogc:def:crs:EPSG::4326-118.365394592285 14.5332717895508-86.7103042602539 32.7186546325684NorthSea:stroomlettersstroomlettersurn:ogc:def:crs:EPSG::43262.14499998092651 51.07499694824223.54166674613953 51.5733337402344Pesi:basinsbalticseaThe main Baltic Sea drainage basin map was created by M. Falkenmark and Z. Mikulski (HELCOM 1986). Both map projection and scale are unknown. Independent measurements indicate a scale of approximately 1:5,000,000. Two additional maps were used to provide more accurate delineations in the Danish Straits and Kattegat sub- regions. These paper maps were also of unknown scale and projection. The Digital Chart of the World (DCW) by ESRI was used for spatial positioning when joining all data sets. These map sources identified 81 sub-basins, which can be aggregated to seven major watersheds for the following major water bodies that define the Baltic Sea: Bothnian Bay, Bothnian Sea, Gulf of Finland, Gulf of Riga, the Baltic Proper, Danish Straits, and the Kattegat. The main Baltic Sea drainage basin map was digitised and transformed in three separate sections using PC ARC/INFO. The Root Mean Square (RMS) error ranged between 0.01 and 0.02. Four sub- basins from the Danish Straits and nine from the Kattegat paper maps were digitised. The RMS errors were 0.01 and 0.06, respectively. All sections were joined together using the APPEND command. Although some RMS errors were high, the final drainage basin data set lines up well with other coverages in the database. The coverage was edited for dangling arcs and label errors. When the editing process was complete, topology was created using the CLEAN command with a 20 meter fuzzy tolerance and dangle length. All polygons were assigned unique id's before attribute data was added. An item called SUBID was added to the coverages .PAT file. This value represents the sub-basin or water body for which each polygon belongs. SUBID served as a bridge item to join additional attributes that existed in an EXCEL spreadsheet. Individual SUBIDs were assigned by selecting polygon label points in ARCEDIT and CALCing SUBID to be the correct value. Extensive error checking was performed before all other attribute data was appended. In addition to the added item SUBID, 21 other attributes were appended to the cover .PAT file. These attributes originated from (a) and database of monthly loads of land based eutrophying substances (Stalnache, 1994), (b) data extracted from the Land Cover data set, and (c) data extracted from the Population Distribution data set. The final BASINS coverage has a total of 26 attributes, including the four automatically generated by ARC/INFO. Supplier: GRID-Arendal. PO Box 1602, Myrene. N-4801 Arendal, Norway.Pesiurn:ogc:def:crs:EPSG::43268.152 48.98238.06 69.378Emodnetbio:benthos_europeThe large databases of EMODNET Biology only store confirmed presences of taxon. However, when mapping taxon distribution, it is also important where the taxon did not occur: there is at least as much information in absences as in presences. Inferring absences from presence-only databases is difficult and always involves some guesswork. In this product we have used as much meta-information as possible to guide us in inferring absences. There is important meta-information at two different levels: the level of the data set, and the level of the taxon. Datasets can contain implicit information on absences when they have uniformly searched for the same taxon over a number of sample locations. Normally, if the taxon would have been present there, it would have been recorded. Other datasets, however, are not informative at all about absences. Typical examples are museum collections. The fact that a specimen is found at a particular place confirms that it lived there, but does not give information on any other taxon being present or absent in the same spot. A difficulty is that some datasets have searched for a restricted part of the total community, e.g. only sampled shellfish but no worms. In this case, absence of a shellfish taxon is relevant, but absence of a worm is not. The dataset can only be used to infer absence for the taxa it has targeted. Here we implicitly assume that a dataset inventorying the endomacrobenthos, is targeting all taxa belonging to this functional group. Usually, the distinction can be made on the basis of the metadata. It is also helpful to plot the total number of taxa versus the total number of samples. Incomplete datasets have far less taxa than expected for their size, compared to 'complete' datasets. At the taxon level, taxonomic registers such as WoRMS (WoRMS Editorial Board, 2021) give information on the functional group the taxon belongs to. This information is present for many taxa, but it is most likely incomplete. The size of the register excludes any easy test of completeness of the traits. However, even if incomplete, the register trait data can be used to select the most useful datasets. If one were to use an incomplete register directly to restrict the taxa to be used in mapping, that would cause loss of interesting information. Therefore the present workflow contains additional steps using the identified promising datasets rather than the taxon list based on the register’s traits.featuresbenthos_europeurn:ogc:def:crs:EPSG::4326-10.1070003509521 51.435199737548816.8089694976807 58.0088195800781WoRMS:surinislandsfeaturessurinislandsurn:ogc:def:crs:EPSG::432697.8288830520112 9.364986658107897.9062688354384 9.47912406882068NorthSea:swalesswales of the southern bight of the north seaswalessouthern bighturn:ogc:def:crs:EPSG::43262.165 51.1014.06 51.89Europe:se_lanEurope Level 1 Provinces represents the first level (or highest level available) subnational administrative units Sweden.Europese_lanurn:ogc:def:crs:EPSG::432610.958 55.33724.167 69.059NorthSea:ankerplaatsNoordzeeAnkelplaatsenurn:ogc:def:crs:EPSG::43262.557 51.3942.669 51.428Scheldemonitor:sm_gemeentengemeentenoppervlakteafbakeningurn:ogc:def:crs:EPSG::43263.331 50.7215.262 51.775Scheldemonitor:nl_habitathabitathabitatrichtlijnenbeschermde oppervlaktenNatura 2000Nederlandurn:ogc:def:crs:EPSG::289922.681 50.7297.32 55.657Scheldemonitor:nopsenlNOPSENatuurontwikkelingsplan Schelde-estuariumScheldeestuariumnatuurontwikkelingsplanurn:ogc:def:crs:EPSG::43263.371 51.2784.263 51.55Scheldemonitor:nopsevlNOPSENatuurontwikkelingsplan Schelde-estuariumScheldeestuariumnatuurontwikkelingsplanurn:ogc:def:crs:EPSG::43263.721 50.9775.037 51.378Scheldemonitor:sm_provinciesprovinciesoppervlaktebelgiëurn:ogc:def:crs:EPSG::43263.331 50.7215.262 51.773Scheldemonitor:nl_vogelvogelvogelrichtlijnenbeschermde oppervlaktenNatura 2000Nederlandurn:ogc:def:crs:EPSG::289923.143 51.1237.225 53.583NorthSea:coastline_2006kustlijnbelgienoordzeeurn:ogc:def:crs:EPSG::43262.536 51.0873.384 51.381NorthSea:zandbanken_mumm_metnaamzandbankennoordzeemorfodynamiekBelgisch platurn:ogc:def:crs:EPSG::43262.23867154121399 51.11474990844733.43155813217163 51.7035217285156TDWG:level2In setting out to establish standards for data fields in botanical databases, the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) identified at an early stage of its existence a need for an agreed system of geographical units at approximately “country” level and upwards for use in recording plant distributions. The system offered covers the whole world and identifies units at four levels, firstly continental, secondly regional (or subcontinental), thirdly at what may be called “Botanical Country” level (which may often ignore purely political considerations), and fourthly at a slightly lower level called “Basic Recording Units” where political integrity is fully recognised. In many cases, where Botanical Countries have no complicating political factors, the units at Level-3 and Level-4 are identical. Very large countries, however, have been subdivided into more conveniently sized units according to constituent states or provinces. It is a fundamental principle that units at all levels are bounded either by political boundaries which appear on modern maps or by coast lines. Modern geographical information systems have not superseded the need for such a scheme. (http://www.nhm.ac.uk/hosted_sites/tdwg/TDWG_geo2.pdf)TDWGlevel2urn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 83.624TDWG:level3In setting out to establish standards for data fields in botanical databases, the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) identified at an early stage of its existence a need for an agreed system of geographical units at approximately “country” level and upwards for use in recording plant distributions. The system offered covers the whole world and identifies units at four levels, firstly continental, secondly regional (or subcontinental), thirdly at what may be called “Botanical Country” level (which may often ignore purely political considerations), and fourthly at a slightly lower level called “Basic Recording Units” where political integrity is fully recognised. In many cases, where Botanical Countries have no complicating political factors, the units at Level-3 and Level-4 are identical. Very large countries, however, have been subdivided into more conveniently sized units according to constituent states or provinces. It is a fundamental principle that units at all levels are bounded either by political boundaries which appear on modern maps or by coast lines. Modern geographical information systems have not superseded the need for such a scheme. (http://www.nhm.ac.uk/hosted_sites/tdwg/TDWG_geo2.pdf)TDWGlevel3urn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 83.624TDWG:level4In setting out to establish standards for data fields in botanical databases, the International Working Group on Taxonomic Databases for Plant Sciences (TDWG) identified at an early stage of its existence a need for an agreed system of geographical units at approximately “country” level and upwards for use in recording plant distributions. The system offered covers the whole world and identifies units at four levels, firstly continental, secondly regional (or subcontinental), thirdly at what may be called “Botanical Country” level (which may often ignore purely political considerations), and fourthly at a slightly lower level called “Basic Recording Units” where political integrity is fully recognised. In many cases, where Botanical Countries have no complicating political factors, the units at Level-3 and Level-4 are identical. Very large countries, however, have been subdivided into more conveniently sized units according to constituent states or provinces. It is a fundamental principle that units at all levels are bounded either by political boundaries which appear on modern maps or by coast lines. Modern geographical information systems have not superseded the need for such a scheme. (http://www.nhm.ac.uk/hosted_sites/tdwg/TDWG_geo2.pdf)TDWGurn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 83.624TDWG:level1Version 2. R. K. Brummitt with assistance from F. Pando, S. Hollis, N. A. Brummitt and others. Plant Taxonomic Database Standards No. 2.ed. 2. World Geographical Scheme for Recording Plant Distributions, ed. 2. 2001. xv, 137 pp.; 17 maps. Stiff paper cover, $10.00. ISBN 0-913196-72-X. Version 1. Hollis, S. & Brummitt, R. K., World Geographical Scheme for Recording Plant Distributions. Plant Taxonomic Database Standards No. 2. Version 1.0. 1992 Published for the International Working Group on Taxonomic The International Taxonomic Database Working Group's world geographical scheme for recording plant distributions.Databases for Plant Sciences (TDWG) by the Hunt Institute for Botanical Documentation, Carnegie Mellon University, PittsburgplantdistributiondistributionsworldArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 83.624Kustportaal:telecom_ingebrThe location of the active telecommunication cables on the Belgian continental shelf.telecomcablekabelin usein gebruikUtility and governmental servicesurn:ogc:def:crs:EPSG::43262.197083 51.2184173.249767 51.86685Kustportaal:telecom_buitengebrThe position of the telecommunication cables on the Belgian continental shelf which are out of use.telecomcablekabelout of usebuiten gebruikUtility and governmental servicesurn:ogc:def:crs:EPSG::43262.207167 51.0964953.142 51.879517Emodnetbio:all_diversity_measuresThis product builds on the EMODnet Biology data product Presence/absence data of macrozoobenthos in the European Seas to derive estimates of temporal turnover in benthic communities on a spatial grid across European seas. This product only uses species-level records, and only uses sampling events where the full macrobenthic community was surveyed (i.e. where there are no 'NA' values in the presence/absence dataset for any species). Six time periods are considered, based on data availability: before 1990, 1990-1999, 2000-2004, 2005-2009, 2010-2014, and 2015 and after. A 1 degree grid is used to obtain reasonable numbers of repeat samples per grid cell. The code below could be adapted to set different time periods and/or a different grid resolution. This readme describes the product structure, including the workflow to generate the required derived datasets and the process for turning them into gridded maps of community turnover.all_diversity_measuresfeaturesurn:ogc:def:crs:EPSG::4326-33.0 28.044.0 79.0World:tnc_terr_eco_realmsDeveloped originally by Olson, D. M. and E. Dinerstein (2002), Bailey (1995) and Environment Canada (Wiken, 1986), these data layers were modified by The Nature Conservancy (TNC) to be used in its Biodiversity Planning exercises in the process known as Ecoregional Assessments. Several Ecoregions were modified from the originals by TNC staff developing the aforementioned assessments. The modifications are based on ecological, bio-physical and political rationales; most changes are noted in the accompanying documentation (attributes). Ecoregions in Canada and Mexico were modified mainly at the border with US territory, where TNC modified-Bailey (1995) ecoregions crossed over the country boundaries and the Olson, D. M. and E. Dinerstein (2002) and (Wiken, 1986) were replaced where the TNC modified-Bailey (1995) overlayed them. This layer was split from the terrestrial ecoregional assessment layer in June 2008.terrestrialecoregionstncbiodiversityecologyHabitats and biotopesurn:ogc:def:crs:EPSG::4326-180.0 -89.9180.0 83.624MarineRegions:eez_12nmVersion 4 of the Territorial Seas from the VLIZ Maritime Boundaries Geodatabase. Territorial seas are a belt of coastal waters extending at most 12 nautical miles (22.2 km; 13.8 mi) from the baseline (usually the mean low-water mark) of a coastal state.territorial seascontiguous zonemarine regionsWorld Oceansmarineexclusive economic zoneslaw of the seaterritorial watersworld oceansarchipelagic watersinternal watersboundariesAdministrative unitsurn:ogc:def:crs:EPSG::4326-180.0 -56.7252897416281180.0 83.8746022304263Crestproject:crest_testlocatiesTwo zones were defined in the CREST project (Climate Resilient Coast) as test sites. One zone is situated at Mariakerke, the other in West-Groenendijk (Koksijde). Following measurements will be carried out at both locations: measurements using wave buoys, with a frame, aeolian sand transport and wind and current measurements, topographic measurements.CRESTkustverdedigingstudiegebiedGroenendijkduinenKoksijdeNieuwpoortdijkenverdedidingstormsuppletiemonitoringwindzandwindsnelheidneerslagklimatologieweerparametersfoto'sArgusevolutieveranderingenmorfologiedynamiekboeienstroomsnelheidoverslagtankZeebruggeOostendeEnvironmental monitoring facilitiesurn:ogc:def:crs:EPSG::313702.675824288041764 51.1354462760756552.889029616434496 51.22275826581478MarineRegions:lmeLMEs are natural regions of ocean space encompassing coastal waters from river basins and estuaries to the seaward boundary of continental shelves and the outer margins of coastal currents. They are relatively large regions of 200,000 km2 or greater, the natural boundaries of which are based on four ecological criteria: bathymetry, hydrography, productivity, and trophically related populations. The theory, measurement, and modeling relevant to monitoring the changing states of LMEs are imbedded in reports on ecosystems with multiple steady states, and on the pattern formation and spatial diffusion within ecosystems. The concept that critical processes controlling the structure and function of biological communities can best be addressed on a regional basis has been applied to the ocean by using LMEs as the distinct units for marine resources assessment, monitoring, and management.downloadable dataLarge Marine EcosystemLMElinked watershedsbiotaboundariesenvironmentoceansplanning cadastreStatistical unitsurn:ogc:def:crs:EPSG::4326-181.800018310547 -86.3476333618164181.800003051758 90.8773498535156Antarctica:marbin_antThe Antarctic region (Southern Ocean s.s. or “Antarctic Ocean”), i.e. the water masses extending south of the Polar Front (formerly known as the Antarctic Convergence) to the coasts of the Antarctic continent. - True northern limit: Antarctic Polar Front (or Antarctic Convergence, 48°S to 63°S, convenient average limit: 55°S). - Operational northern limits for data trawling: South Atlantic: - Between 60°W and 50°W: 57°S - Between 50°W and 30°E: 50°S Indian Ocean: - Between 30°E and 80°E: 50°S - Between 80°E and 150°E: 55°S South Pacific: - Between 150°E and 60°W: 60°S Used for SCAR-MarBIN - RAMSRAMSAntarcticPolar fronturn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 -48.0Morocco:nekor_and_ghis_plainNekor and Ghis Plain; Al Hoceima CASE - PEGASOprojectnekor_and_ghis_plainfeaturesurn:ogc:def:crs:EPSG::4326-3.90237665176392 35.0903701782227-3.76219797134399 35.2290191650391MarineRegions:eez_ihoThe maritime boundaries provide a useful tool to limit national marine areas, but do not include information on marine regional and sub regional seas. This hampers the usage of these boundaries for implementing nature conservation strategies or analyzing marine biogeographic patterns. For example, a species occurring in the German EEZ can live in the North Sea, the Baltic Sea or Kattegat area. Each of these different marine areas has very distinct hydrological, oceanographic and ecological conditions.urn:ogc:def:crs:EPSG::4326-181.800003051758 -86.440315246582181.800018310547 90.8778228759766BWZee:bwzeevalIntegrated marine biological valuation map for the Belgian part of the North Sea for seabirds, macrobenthos, epibenthos and demersal fish. BWZEE: A Biological Valuation Map for the Belgian Continental Shelfmarinebirdscharacteristicsindicatorsmacrobenthossediment compositionANEBelgiumBelgian Continental Shelf (BCS)biologyvaluation mapBelgian Continental Shelfseabirdsepibenthosdemersal fishdemersalfishBelgian Science Policy (BELSPO)Onderzoeksdomein VisserijUniversiteit GentOnderzoeksgroep Mariene Biologie (MARBIOL)Renard Centre of Marine Geology (RCMG)Vlaams Instituut voor de Zee (VLIZ)Vlaamse overheid; Beleidsdomein LeefmilieuNatuur en Energie; Instituut voor Natuur- en Bosonderzoek (INBO)GISmapsdatalowhighvaluation questionsHabitats and biotopesurn:ogc:def:crs:EPSG::326312.229111270464205 51.0873439299001653.3694094206883576 51.87658190879944Antarctica:marbin_subantThe sub-Antarctic region, here defined as the expanses of water extending from the Polar Front in the south to the Subtropical front in the north (see precisions below), is being progressively covered as well. - True southern limit: the Antarctic Polar Front. - True northern limit: the northernmost limit of the Southern Ocean s.l., i.e. the northern limit of the extension of the sub-Antarctic water masses, which corresponds to the (nearly) circumpolar sub-Tropical Front (30°S to 47°S, convenient average limit: 43°S). In addition to the open ocean zones defined by hydrographic fronts, the SCAR-MarBIN “area of interest” has also to take into account the sub-Antarctic coastal zones, in particular in southern South America (i.e. the sub-Antarctic Magellanic biogeographic province; see e.g. Boltovskoy et al. 1999; Lopez Gappa et al. 2006; De Broyer et al. 2007) and the various islands of the sub-Antarctic region (e.g. the New Zealand sub-Antarctic islands such as The Snares, Antipodes and Bounty; see e.g. Knox 1987). - Operational northern limits for data trawling (see map below): South Atlantic and Indian Ocean: - Between 65°W and 140°E: 43°S Pacific Ocean: - Between 140°E and 176°W: 48°S - Between 176°W and 80°W: 45°S - Between 80°W and 72°W: 41°S Used for SCAR-MarBIN - RAMSRAMSsub-AntarcticPolar frontAntarctic Polar Fronturn:ogc:def:crs:EPSG::4326-180.0 -60.0132055775329180.000000000001 -41.0NorthSea:tidalreductionurn:ogc:def:crs:EPSG::43262.176 51.0433.506 51.648Emodnet:sahfos_hab_timeseriesDataproduct on time-series for the North Sea of standardized anomalies of abundance of 4 HAB taxa (Dinophysis spp., Prorocentrum spp., Noctiluca spp. , Pseudo-nitzchia spp.) from 1958 – 2009. Data from the Continuous Plankton Recorder (CPR).Time seriesDinophysisabundancesahfosDinophysisProrocentrumNoctilucaPseudo-nitzchiaurn:ogc:def:crs:EPSG::4326-3.25 52.010.0000009536743 60.0000038146973HistorischeKaarten:hk_toponiemenDe toponiemen die beschreven werden in de Grote Rede en terug te vinden zijn op de kaarten van het HisGIS Kust projectfeatureshk_toponiemenurn:ogc:def:crs:EPSG::43262.26591539382935 50.77308654785163.42765116691589 51.6438827514648HistorischeKaarten:hk_toponiemen_polyurn:ogc:def:crs:EPSG::43262.1672203540802 49.98451614379885.92841720581055 51.7118721008301Emodnet:sahfos_deliverable2_gridurn:ogc:def:crs:EPSG::4326-4.0 50.08.0 61.0Kustportaal:brutotonnage_06Total gross tonnage of the seagoing vessels per Flemish sea port. Source: Merckx, J.P. (2020). Zeehavens en luchthavens in Vlaanderen. Feiten, statistieken en indicatoren voor 2019. Mobiliteitsraad van Vlaanderen: Brussel. 195 pp.Transport networksurn:ogc:def:crs:EPSG::43262.83020520210266 50.97754669189454.50626516342163 51.3796577453613Emodnet:sahfos_deliverable2Copepodenzoobenthosaanwezigheidurn:ogc:def:crs:EPSG::4326-3.5 50.57.5 60.5Kustportaal:lw_path_cod13730Trajectory of a tagged Atlantic cod (Gadus morhua).fishhabitat usemigration patternsacoustic telemetryelectronic taggingSpecies distributionurn:ogc:def:crs:EPSG::43262.797 51.35361363.79503 51.6717Kustportaal:lw_path_cod14868Trajectory of a tagged Atlantic cod (Gadus morhua).fishhabitat usemigration patternsacoustic telemetryelectronic taggingSpecies distributionurn:ogc:def:crs:EPSG::43262.96833 51.362163.734487 51.4612Kustportaal:lw_path_eel52635Trajectory of a tagged European eel (Anguilla anguilla).fishhabitat usemigration patternsacoustic telemetryelectronic taggingSpecies distributionurn:ogc:def:crs:EPSG::43263.45318 51.00164.3967 51.4225Kustportaal:lw_path_bot34456Trajectory of a tagged European flounder (Platichthys flesus).fishhabitat usemigration patternsacoustic telemetryelectronic taggingSpecies distributionurn:ogc:def:crs:EPSG::43263.107 51.14224.33602 51.46117Kustportaal:lw_path_meeuwhildeSome exemplary trajectories of European Herring Gulls (Larus argentatus Pontoppidan, 1736) and Lesser Black-backed Gulls (Larus fuscus Linnaeus, 1758), tracked with the LifeWatch bird tracking GPS network. Displayed positions are calculated centroid positions of daily tracks.birdGPS trackingmigration patternshabitat useSpecies distributionurn:ogc:def:crs:EPSG::43262.917814326 51.220896892.963745528 51.26099776Kustportaal:lw_path_meeuwjoostSome exemplary trajectories of European Herring Gulls (Larus argentatus Pontoppidan, 1736) and Lesser Black-backed Gulls (Larus fuscus Linnaeus, 1758), tracked with the LifeWatch bird tracking GPS network. Displayed positions are calculated centroid positions of daily tracks.birdGPS trackinghabitat usemigration patternsSpecies distributionurn:ogc:def:crs:EPSG::43262.345405233 50.681735863.761146448 51.2771627Kustportaal:lw_path_meeuwfaySome exemplary trajectories of European Herring Gulls (Larus argentatus Pontoppidan, 1736) and Lesser Black-backed Gulls (Larus fuscus Linnaeus, 1758), tracked with the LifeWatch bird tracking GPS network. Displayed positions are calculated centroid positions of daily tracks.birdGPS trackingmigration patternshabitat useSpecies distributionurn:ogc:def:crs:EPSG::43262.667153021 50.070527254.116607013 51.45326982Kustportaal:lw_path_meeuwpeterSome exemplary trajectories of European Herring Gulls (Larus argentatus Pontoppidan, 1736) and Lesser Black-backed Gulls (Larus fuscus Linnaeus, 1758), tracked with the LifeWatch bird tracking GPS network. Displayed positions are calculated centroid positions of daily tracks.birdGPS trackinghabitat usemigration patternsSpecies distributionurn:ogc:def:crs:EPSG::43262.877770995 51.21538923.17443707 51.34967478Kustportaal:lw_path_fint28277Trajectory of a tagged twaite shad (Alosa fallax).fishhabitat usemigration patternsacoustic telemetryelectronic taggingSpecies distributionurn:ogc:def:crs:EPSG::43262.9215 51.032094.33602 51.4112MarineRegions:worldheritagemarineprogramme_v1featuresworldheritagemarineprogramme_v1urn:ogc:def:crs:EPSG::4326-179.99995761751242 -55.00038889215538179.9999576768446 71.80583034684673MarineRegions:worldheritagemarineprogrammeThis file contains the shapefile of the 50 marine sites inscribed on the UNESCO World Heritage List (as of 1 January 2023). Launched in 2005, the mission of the World Heritage Marine Programme is to establish effective conservation of existing and potential marine areas of Outstanding Universal Value to make sure they will be maintained and thrive for generations to come. In order to create the data, information from the UNESCO World Heritage Marine Programme and Protected Planet were collected and compiled. Citable as data publication UNESCO (2023). Boundaries of UNESCO World Heritage Marine Sites (v02). Available online at https://www.marineregions.org/. https://doi.org/10.14284/592featuresworldheritagemarineprogrammeurn:ogc:def:crs:EPSG::4326-179.99999999999997 -55.32281999999998179.99999889800006 71.81380971500005World:usa_stateshttp://www.arcgis.com/home/group.html?owner=esri&title=ESRI%20Data%20%26%20Maps&content=all Sources: Esri, TomTom, Department of Commerce, Census Bureau, U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS)usa_statesfeaturesurn:ogc:def:crs:EPSG::4326-179.14734 17.881242179.778465 71.3904820644061Kustportaal:kansarmebuurtenThe geographical level, at which the work is carried out, are the statistical sectors as defined by the former National Institute of Statistics. For convenience, these are called "neighbourhoods". For each neighbourhood, a score was calculated for each dimension (demography, housing, education and unemployment). These dimension scores are than used to carry out a analysis of the socio-economic deprivation. Analogously with the socio-economic deprivation atlas of Kesteloot, a threshold value of 15% was used. In concrete terms: for each dimension of socio-economic deprivation (demography, housing, education and job-seekers), the 1,297 neighbourhoods are ranked from high to low. For this purpose, the dimension scores were used. The threshold value for each dimension is thus obtained by taking the value at which 15% of all neighbourhoods have a higher value than this threshold value. In order to determine whether or not a neighbourhood can be described as vulnerable, we state that all neighbourhoods that have exceeded the threshold values on 3 or 4 of the dimensions can be considered potentially disadvantaged.kansarmoedekansarme buurtenWest-Vlaanderensocio-economischPopulation distribution and demographyurn:ogc:def:crs:EPSG::43262.57963871955872 50.76406097412113.45707964897156 51.3565063476562Europe:europeurbanSpread of major urban areas in Europe.polygonurbanized areascitiescapitalsWorldAdministrative unitsurn:ogc:def:crs:EPSG::4326-22.008 28.08764.117 69.903Kustportaal:benuttingsgraad_38Share (%) of non-residential properties. Source: FOD Financiën, Administratie van het kadaster, de registratie en de domeinensecond homesresidentspropertyAdministrative unitsurn:ogc:def:crs:EPSG::43262.53705191612244 50.90118408203123.40357565879822 51.3751335144043NorthSea:vaarroutesvaarroutesNoordzeeBCPurn:ogc:def:crs:EPSG::43262.181 51.2113.397 51.886Kustportaal:valueatseaValue@Sea (2017-2019) aims to test the technical, ecological and economic feasibility of the integrated cultivation of extractive aquaculture species such as the European flat oyster, scallop and sugar kelp.maricultuurmariculturevalueatseaAgricultural and aquaculture facilitiesurn:ogc:def:crs:EPSG::43262.66146421432495 51.1810798645022.6686692237854 51.1849212646484Scheldemonitor:vegetatieopnames_pqIn the salt marsh areas, the diversity of higher plants is followed through vegetation recordings. These are made from existing permanent squares and supplemented with loose vegetation recordings which are stratified random localised according to their current vegetation types or target vegetation types.soortenrijkdomoppervlakte-eenheidvegetatietypeschorgebieddiversiteitindicesfloristische kwaliteitsindexvegetatieopnamesoortenlijstbedekkingspercentagesspecies richnesssurface unitvegetation typesalt marsh areadiversity indicesfloristic quality assessment indexvegetation recordspecies listcoverage ratesLand coverurn:ogc:def:crs:EPSG::313003.782 51.0064.374 51.368Scheldemonitor:vegetatieopnames_pq_2015In the salt marsh areas, the diversity of higher plants is followed up through vegetation recordings. These are made from existing permanent squares and supplemented with loose vegetation recordings which are stratified random localised according to their current vegetation types or target vegetation types.soortenrijkdomoppervlakte-eenheidvegetatietypeschorgebieddiversiteitindicesfloristische kwaliteitsindexvegetatieopnamesoortenlijstbedekkingspercentagesspecies richnesssurface unitvegetation typesalt marsh areadiversity indicesfloristic quality assessment indexvegetation recordspecies listcoverage ratesLand coverurn:ogc:def:crs:EPSG::43263.78646180625702 51.01475476420944.31278293635489 51.3363051383569Scheldemonitor:vegetatieopnames_lossevegetatiekarteringvegetatiebedekkingsoortecologieScheldeplantaeplantenverspreidingurn:ogc:def:crs:EPSG::313003.761 51.0054.312 51.373Scheldemonitor:vegetatie_1980_mergedVegetation map (planes) of Western Scheldt 1980 based on aerial photographs and fieldwork. The individual shapefiles of Baarland, Bath & Zimmermanpolder and the Emmanuelpolder were combined into 1 map layer.volledige topologieGIS-bewerkingenluchtfotospositional accuracyabsolute horizontal accuraceymax 5 mluchtfotoveldwerkkarteringland van Saeftinghecomplete topologyGIS editsaerial photosposition accuracyabsolute horizontal accuracymax 5 maerial viewfieldworkmappingSaeftinghe countryLand coverurn:ogc:def:crs:EPSG::289923.862 51.3914.205 51.411Scheldemonitor:vegetatiekaart2013The vegetation map contains the enclosing polygons of areas whose vegetation belongs to the same ecotope. The diversity, distribution and surface of ??the different vegetation types in the salt marshes is monitored by means of vegetation marks. For the classic vegetation mapping, vegetation units are distinguished based on false colour IR aerial images. When mapping occurs through remote sensing, hyperspectral images are made. A classification based on pixel properties provides a typology associated with vegetation types.vegetatiediversiteitspreidingoppervlaktevegetatietypetypeschorrekarteringIRinfraroodeengeidremote sensinghyperspectraal beeldclassificatiepixelsgrond datasoortenpolygonenvegetationdiversitydistributionsurfacevegetation typetypesalt marshmappingIRinfraredunitremote sensinghyperspectral imageclassificationpixelsground dataspeciespolygonsLand coverurn:ogc:def:crs:EPSG::43264.23230670801684 51.12538035237394.40160250066093 51.3748713510704Scheldemonitor:vegetatie_1935_saeftingheVegetation map (planes) of the Western Scheldt - Verdronken Land van Saeftinghe 1935 based on aerial photographs and fieldwork.volledige topologieGIS-bewerkingenluchtfotospositional accuracyabsolute horizontal accuraceymax 5 mluchtfotoveldwerkkarteringland van Saeftinghecomplete topologyGIS editsaerial photospositional accuracyabsolute horizontal accuracymax 5 maerial viewfieldworkmappingland of SaeftingheLand coverurn:ogc:def:crs:EPSG::289924.109 51.3274.231 51.382Scheldemonitor:vegetatie_1957_saeftingheVegetation map (planes) of Western Scheldt - Verdronken Land van Saeftinghe 1957 based on fieldwork and aerial photographs.Verdronken Land van Saeftingheshape gebiedspecifiekvolledige topologieGIS-bewerkingenluchtfoto'spositional accuracyabsolute horizontal accuracy1:10000max 5mVerdronken land van Saeftingheshape area specificcomplete topologyGIS editsaerial photospositional accuracyabsolute horizontal accuracy1: 10000max 5mLand coverurn:ogc:def:crs:EPSG::289924.084 51.3274.232 51.383Scheldemonitor:vegetatie_1971_saeftingheVegetation map (planes) of Western Scheldt - Verdronken Land van Saeftinghe 1971 based on aerial photographs and fieldwork.Verdronken Land van SaeftingheNAPRD_Newluchtfoto'sveldwerkVerdronken Land van SaeftingheNAPRD_Newaerial photographsfieldworkLand useurn:ogc:def:crs:EPSG::289924.086 51.3274.234 51.382Scheldemonitor:vegetatie_1979_saeftingheVegetation map (planes) Westerschelde - Verdronken Land van Saeftinghe 1971 based on aerial photographs and fieldwork.volledige topologieGIS-bewerkingenluchtfotospositional accuracyabsolute horizontal accuraceymax 5 mluchtfotoveldwerkkarteringland van Saeftinghecomplete topologyGIS editsaerial photosposition accuracyabsolute horizontal accuracymax 5 maerial viewfieldworkmappingLand van SaeftingheLand coverurn:ogc:def:crs:EPSG::289924.086 51.3274.234 51.385Scheldemonitor:vegetatie_1992_saeftingheVegetation map (planes) of the Western Scheldt - Verdronken Land van Saeftinghe 1992 based on aerial photographs and fieldwork.Verdronken Land van Saeftingheshape gebiedspecifiekvolledige topologieGIS-bewerkingenluchtfoto'svegetatiekaartVerdronken Land van Saeftingheshape area specificcomplete topologyGIS editingaerial photosvegetationmapLand coverurn:ogc:def:crs:EPSG::289924.087 51.3274.22 51.377Scheldemonitor:vegetatie_1993_westerscheldeVegetation map (planes) of various areas of the Western Scheldt 1993 based on aerial photographs and fieldwork.WesterscheldeRammekenshoekKalootZuidgorsSchor bij BaarlandBiezelingse HamSchor bij WaardeSchor bij BathAppelzak (Ossendrecht)HoofdplaatPaulinapolderHellegatspolderBaalhoekVerdronken land van SaeftingheHooge PlatenPlaten van Valkenissevolledige topologieWestern ScheldtRammekenshoekKalootZuidgorsBaarlandBiezelingse HamWaardeBathAppelzak (Ossendrecht)HoofdplaatPaulinapolderHellegatspolderBaalhoekVerdronken land van SaeftingheHooge PlatenPlaten van Valkenissecomplete topologyLand coverurn:ogc:def:crs:EPSG::289923.337 51.3174.249 51.468Scheldemonitor:vegetatiekaart1992_v2017The vegetation map contains the enclosing polygons of areas whose vegetation belongs to the same ecotope. The diversity, distribution and surface of ??the different vegetation types in the salt marshes is monitored by means of vegetation maps. For the classic vegetation mapping, vegetation units are distinguished based on false colour IR aerial images. When mapping occurs through remote sensing, hyperspectral images are made. A classification based on pixel properties provides a typology associated with vegetation types.vegetatiediversiteitspreidingoppervlaktevegetatietypetypeschorrekarteringIRinfraroodeengeidremote sensinghyperspectraal beeldclassificatiepixelsgrond datasoortenpolygonenvegetationdiversitydistributionsurfacevegetation typetypesalt marshmappingIRinfraredunitremote sensinghyperspectral imageclassificationpixelsground dataspeciespolygonsLand coverurn:ogc:def:crs:EPSG::43263.74684005609334 50.99291689615154.44356691003171 51.3749965594823Scheldemonitor:vegetatiekaart1996_v2017The vegetation map contains the enclosing polygons of areas whose vegetation belongs to the same ecotope. The diversity, spread and surface of ??the different vegetation types in the salt marshes is monitored by means of vegetation maps. For the classic vegetation mapping, vegetation units are distinguished based on false colour IR aerial images. When mapping through remote sensing, hyperspectral images are made. A classification based on pixel properties provides a typology associated with vegetation types.vegetatiediversiteitspreidingoppervlaktevegetatietypetypeschorrekarteringIRinfraroodeengeidremote sensinghyperspectraal beeldclassificatiepixelsgrond datasoortenpolygonenvegetationdiversitydistributionsurfacevegetation typetypesalt marshmappingIRinfraredunitremote sensinghyperspectral imageclassificationpixelsground dataspeciespolygonsLand coverurn:ogc:def:crs:EPSG::43263.7469786602654 50.99291176129464.44339044759407 51.37496602883Scheldemonitor:vegetatiekaart2003The vegetation map contains the enclosing polygons of areas whose vegetation belongs to the same ecotope. The diversity, distribution and surface of the different vegetation types in the salt marshes is monitored by means of vegetation maps. For the classic vegetation mapping, vegetation units are distinguished based on false colour IR aerial images. When mapping through remote sensing, hyperspectral images are made. A classification based on pixel properties provides a typology associated with vegetation types.vegetatiediversiteitspreidingoppervlaktevegetatietypetypeschorrekarteringIRinfraroodeengeidremote sensinghyperspectraal beeldclassificatiepixelsgrond datasoortenpolygonenvegetationdiversitydistributionsurfacevegetation typetypesalt marshmappingIRinfraredunitremote sensinghyperspectral imageclassificationpixelsground dataspeciespolygonsLand coverurn:ogc:def:crs:EPSG::313703.741601810290871 50.991799511782894.420665998692009 51.37467608823203Scheldemonitor:vegetatiekaart2011The diversity and spread of several types of vegetation have been monitored by vegetation mappings. These mappings are done by both classic methods and remote sensing techniques. Classic methods use false colour IR aerial images to distinguish vegetation units, which receive a specific type based on the physiognomic system of dominant structural and species-related features. Remote sensing techniques use hyperspectral images. Here, a classification is made based on the properties of the pixels, which results in a typology to which different vegetation types can be connected. This connection is aided by collected ground data. The overhead flights are preferably done in August or September.vegetatiediversiteitspreidingoppervlaktevegetatietypetypeschorrekarteringIRinfraroodeengeidremote sensinghyperspectraal beeldclassificatiepixelsgrond datasoortenpolygonenLand coverurn:ogc:def:crs:EPSG::313704.192695615116608 51.1129601392853064.415491504989494 51.378763148141736Scheldemonitor:vegetatie_1995_mergedThis map illustrates the created vegetation map, based on aerial photographs and fieldwork, of the areas "Verdronken Zwarte Polder" and "Zwin" along the Zeeuws-Flemish coast. A previous vegetation mapping was performed for the Zwin in 1986. For the "Verdronken Zwarte Polder" this is the first mapping under the VEGWAD monitoring program. The dry dunes within the area are characterised by landscape characteristics instead of vegetation characteristics according to the Grove Standard Typology (GST).florafauweklweldersvegetatieveldwerk digitalisatie naar GISstereo-interpretatieluchtfoto'sGIS-bewerkringenvolledige topologieFlorafaunasalt marshesvegetationfieldwork digitalisation to GISstereo interpretationaerial photosGIS editingcomplete topologyLand coverurn:ogc:def:crs:EPSG::289923.362 51.3224.23 51.401Scheldemonitor:vegetatiekaart2013_bozThe vegetation map contains the enclosing polygons of areas whose vegetation belongs to the same ecotope. The diversity, distribution and surface of ??the different vegetation types in the salt marshes is monitored by means of vegetation marks. For the classic vegetation mapping, vegetation units are distinguished based on false colour IR aerial images. When mapping occurs through remote sensing, hyperspectral images are made. A classification based on pixel properties provides a typology associated with vegetation types.vegetatiediversiteitspreidingoppervlaktevegetatietypetypeschorrekarteringIRinfraroodeengeidremote sensinghyperspectraal beeldclassificatiepixelsgrond datasoortenpolygonenvegetationdiversitydistributionsurfacevegetation typetypesalt marshmappingIRinfraredunitremote sensinghyperspectral imageclassificationpixelsground dataspeciespolygonsLand coverurn:ogc:def:crs:EPSG::43263.7232935341787 50.99277998899594.42076250516446 51.1282070771675Scheldemonitor:vegetatie_1982_mergedVegetation map (planes) of Western Scheldt 1982 based on aerial photographs and fieldwork. The individual shapefiles of Appelzak, Ossendrecht, Biezelingse Ham, Hellegatspolder, Hoofdplaat, Kaloot, Paulinapolder, Rammekenshoek and Zuidgors were combined into 1 map layer.volledige topologieGIS-bewerkingenluchtfotospositional accuracyabsolute horizontal accuraceymax 5 mluchtfotoveldwerkkarteringland van Saeftinghecomplete topologyGIS editsaerial photosposition accuracyabsolute horizontal accuracymax 5 maerial viewfieldworkmappingLand van SaeftingheLand coverurn:ogc:def:crs:EPSG::289923.644 51.3474.249 51.468Scheldemonitor:vegetatiekaart2013_zenedijThe vegetation map contains the enclosing polygons of areas whose vegetation belongs to the same ecotope. The diversity, distribution and surface of ??the different vegetation types in the salt marshes is monitored by means of vegetation marks. For the classic vegetation mapping, vegetation units are distinguished based on false colour IR aerial images. When mapping occurs through remote sensing, hyperspectral images are made. A classification based on pixel properties provides a typology associated with vegetation types.vegetatiediversiteitspreidingoppervlaktevegetatietypetypeschorrekarteringIRinfraroodeengeidremote sensinghyperspectraal beeldclassificatiepixelsgrond datasoortenpolygonenvegetationdiversitydistributionsurfacevegetation typetypesalt marshmappingIRinfraredunitremote sensinghyperspectral imageclassificationpixelsground dataspeciespolygonsLand coverurn:ogc:def:crs:EPSG::43264.41824512003498 50.96925920861584.75422064179202 51.1945136251707Scheldemonitor:vegetatie_2001_mergedFile with the points of the Verdronken Zwarte Polder and Zwin 2001 based on coordinates with GPS adjusted with selected points on aerial photographs.volledige topologiemonitoringmax. 3mGIS-bewerkingenveldwerkdigitalisatieGISluchtfotobeeldencomplete topologymonitoringmax. 3mGIS editsfieldworkdigitalisationGISaerial photographic viewsLand coverurn:ogc:def:crs:EPSG::289923.364 51.3573.45 51.391Scheldemonitor:vegetatie_1986_hetzwinVegetation map (planes) of Zwin 1986 based on aerial photographs and fieldwork .volledige topologieGIS-bewerkingenluchtfotospositional accuracyabsolute horizontal accuraceymax 5 mluchtfotoveldwerkkarteringzwinComplete topologyGIS editsaerial photospositional accuracyabsolute horizontal accuracymax 5 maerial viewfieldworkmappingzwinLand coverurn:ogc:def:crs:EPSG::289923.341 51.3573.379 51.374Scheldemonitor:vogeltellingen19792010vogeltellingen19792010featuresurn:ogc:def:crs:EPSG::43263.74556517601013 50.99021148681644.6685004234314 51.3749008178711NorthSea:vuurtorensvuurtorenslocatieurn:ogc:def:crs:EPSG::43262.738 51.1563.235 51.335Scheldemonitor:nl_chem_toest_lThe Water Framework Directive (Directive 2000/60 / EC) stipulates that all European surface waters must be at least in a good chemical state (natural waters, heavily modified and artificial waters) by 2015. The main objective of the Long-Term Vision 2030 of the Scheldt Estuary was to otbtain a healthy estuarine ecosystem in which water quality is no longer limiting. This measurement indicates the evolution, in whether or not achieving the European objective, which is further juridically mentioned in the Water Act in the Netherlands and the Decree Integrated Water Policy (DIW) in Flanders.ScheldemonitorKRW2009chemische toestandlijnenlangetermijnScheldeestuariumpotentieelScheldemonitorWFD2009ecological statelineslong termScheldtestuarypotentialHydrographyurn:ogc:def:crs:EPSG::289923.265 50.7417.228 53.478Scheldemonitor:nl_chem_toest_vThe Water Framework Directive (Directive 2000/60 / EC) stipulates that all European surface waters must be at least in a good chemical state (natural waters, heavily modified and artificial waters) by 2015. The main objective of the Long-Term Vision 2030 of the Scheldt Estuary was to otbtain a healthy estuarine ecosystem in which water quality is no longer limiting. This measurement indicates the evolution, in whether or not achieving the European objective, which is further juridically mentioned in the Water Act in the Netherlands and the Decree Integrated Water Policy (DIW) in Flanders.ScheldemonitorKRW2009chemische toestandlijnenlangetermijnScheldeestuariumpotentieelScheldtmonitorWFD2009ecological statelineslong termScheldtestuarypotentialHydrographyurn:ogc:def:crs:EPSG::289922.962 50.7367.235 53.77Scheldemonitor:owl_ciw_lijn_v09The Water Framework Directive (Directive 2000/60 / EC) stipulates that all European surface waters must be at least in a good chemical state (natural waters, heavily modified and artificial waters) by 2015. The main objective of the Long-Term Vision 2030 of the Scheldt Estuary was to otbtain a healthy estuarine ecosystem in which water quality is no longer limiting. This measurement indicates the evolution, in whether or not achieving the European objective, which is further juridically mentioned in the Water Act in the Netherlands and the Decree Integrated Water Policy (DIW) in Flanders.ScheldemonitorKRW2009ecologische toestandlijnenlangetermijnScheldeestuariumpotentieelScheldtmonitorWFD2009ecological statelineslong termScheldtestuarypotentialHydrographyurn:ogc:def:crs:EPSG::313002.543 50.6825.867 51.505Scheldemonitor:nl_ecol_toest_lThe Water Framework Directive (Directive 2000/60 / EC) stipulates that all European surface waters must be at least in a good ecological state (natural waters) or have a good ecological potential (highly modified or artificial waters) by 2015. The main objective of the Long-Term Vision 2030 of the Scheldt Estuary was to obtain a healthy estuarine ecosystem in which water quality is no longer the limiting factor. The ecological condition / potential indicates the evolution, whether or not the European objective is achieved, which is further juridically mentioned in the Water Act in the Netherlands and the Decree on Integrated Water Policy (DIW) in Flanders.ScheldemonitorKRW2009ecologische toestandlijnenlangetermijnScheldeestuariumpotentieelScheldemonitorWFD2009ecological statelineslong termScheldtestuarypotentialHydrographyurn:ogc:def:crs:EPSG::289923.265 50.7417.228 53.478Scheldemonitor:owl_ciw_vlak_v09The Water Framework Directive (Directive 2000/60 / EC) stipulates that all European surface waters must be at least in a good chemical state (natural waters, heavily modified and artificial waters) by 2015. The main objective of the Long-Term Vision 2030 of the Scheldt Estuary was to otbtain a healthy estuarine ecosystem in which water quality is no longer limiting. This measurement indicates the evolution, in whether or not achieving the European objective, which is further juridically mentioned in the Water Act in the Netherlands and the Decree Integrated Water Policy (DIW) in Flanders.ScheldemonitorKRW2009ecologische toestandlijnenlangetermijnScheldeestuariumpotentieelScheldtmonitorWFD2009ecological statelineslong termScheldtestuarypotentialHydrographyurn:ogc:def:crs:EPSG::313002.715 50.8265.861 51.376Scheldemonitor:nl_ecol_toest_vThe Water Framework Directive (Directive 2000/60 / EC) stipulates that all European surface waters must be at least in a good ecological state (natural waters) or have a good ecological potential (highly modified or artificial waters) by 2015. The main objective of the Long-Term Vision 2030 of the Scheldt Estuary was to obtain a healthy estuarine ecosystem in which water quality is no longer the limiting factor. The ecological condition / potential indicates the evolution, whether or not the European objective is achieved, which is further juridically mentioned in the Water Act in the Netherlands and the Decree on Integrated Water Policy (DIW) in Flanders.ScheldemonitorKRW2009ecologische toestandlijnenlangetermijnScheldeestuariumpotentieelScheldemonitorWFD2009ecological statelineslong termScheldtestuarypotentialHydrographyurn:ogc:def:crs:EPSG::289922.962 50.7367.235 53.77Scheldemonitor:water2Basic map of the Belgian and Dutch water areas based on ESRI European Water bodies. The map includes rivers, lakes and other water bodies.hydrografierivierenwaterlopenhydrographyriverswater courseswater bodiesHydrographyurn:ogc:def:crs:EPSG::43262.56 49.5267.217 53.475Paardenmarkt:watersamplingsites_2020Water samples from 9 sites in the dumpsite (Niskin), combined with CTD-profiling and in-situ methane measurements (Piccaro). Data acquisition by VLIZ.featureswatersamplingsites_2020urn:ogc:def:crs:EPSG::43263.217083215713501 51.3542480468753.272483348846436 51.390052795410156Europe:lowcountrieswaterBelgiëNederlandwaterlichamenwaterlopenurn:ogc:def:crs:EPSG::43262.56 49.5267.217 53.475Europe:francewaterfrankrijkwaterlichamenwaterlopenurn:ogc:def:crs:EPSG::4326-4.615 41.4229.556 51.071Scheldemonitor:waterwaterScheldeMonitorurn:ogc:def:crs:EPSG::43262.045 49.885.632 52.027Scheldemonitor:rwswvtel_vdvogelswatervogelsWesterscheldewatervogeltellingdiversiteiturn:ogc:def:crs:EPSG::43263.265 51.3593.601 51.608Europe:uk_countiesWatsonian Vice County Boundaries, more information avaiable on <a href='http://www.nbn.org.uk/SpecialPages/WVCB-Download.aspx' target='_blank'>http://www.nbn.org.uk/SpecialPages/WVCB-Download.aspx</a>featuresuk_countiesurn:ogc:def:crs:EPSG::4326-8.64923913225285 49.8640157873991.76496147070169 60.861379484106NorthSea:werkgebied_thorntonThorntonbankwindmolenparkwindmolenwerkgebiedurn:ogc:def:crs:EPSG::43262.872 51.5133.031 51.592Kustportaal:wierenwindIn this project, companies Seaweed Harvest Nordsea, AtSeaNova, Murre Technologies and GEOxyz want to significantly increase the production of seaweed. The seaweed collective Stichting Noordzeeboerderij and knowledge institutions Ugent and HZ University of Applied Science will support them in this. The partners will jointly develop a large-scale and automated seaweed cultivation system that is reliable at sea and that can be deployed within the many wind farms in the North Sea. The project thus contributes to the multiple use of space of the wind farms.maricultuurmariculturecoastbustersAgricultural and aquaculture facilitiesurn:ogc:def:crs:EPSG::43262.97627830505371 51.49582290649412.98056221008301 51.4985427856445Scheldemonitor:watervogels_winter2014_groupedvogelswatervogelsWesterscheldewatervogeltellingdiversiteiturn:ogc:def:crs:EPSG::43263.74556525708937 50.99021453255474.4937919377054 51.3749000001285Scheldemonitor:watervogeltelgeb_winterurn:ogc:def:crs:EPSG::313703.7413110724368726 50.986439067661824.473766894903497 51.374673025906844MarineRegions:world_bay_gulfurn:ogc:def:crs:EPSG::4326-181.800003051758 -76.2468948364258181.800003051758 83.0441513061523MarineRegions:world_estuary_deltaurn:ogc:def:crs:EPSG::4326-164.880794763168 -43.5730568169184175.663969159249 63.2619590762504World:worldgazetteerWorld Gazetteer represents the locations and proper names for map features around the world. The gazetteer includes attribute and annotation name information from various layers of the Digital Chart of the World.worldgazetteerWorldurn:ogc:def:crs:EPSG::4326-179.989 -86.906180.0 85.214MarineHeritage:mergedsites201205http://www.vliz.be/projects/marineworldheritage/mergedsites201205featuresurn:ogc:def:crs:EPSG::432629.4100933074951 -49.724975585937570.5675048828125 -1.63035595417023World:worldlakesWorld Lakes represents the major lakes and inland seas within the world.worldlakesWorldurn:ogc:def:crs:EPSG::4326-125.123 -16.606109.965 67.047World:grid5degWorld Latitude and Longitude Grids represents a 5 by 5 degree latitude/longitude grid covering the world with attributes that allow you to display grids at intervals of 5, 10, 15, 20, and 30 degrees. To display a grid with a 5-degree interval, simply display all of the lines. To display a coarser grid, for example, a 15-degree interval, define the theme properties as lines with the Degree15 attribute equal to Y.Worldgrid5degurn:ogc:def:crs:EPSG::4326-180.0 -89.498180.0 89.498World:world_quadrants_20150805world_quadrants_20150805featuresBearingNorthSouthEastWestWESNurn:ogc:def:crs:EPSG::4258-180.0 -55.97963333013916180.0 83.66549110372489World:world_rectangleworld_rectanglefeaturesurn:ogc:def:crs:EPSG::4326-180.0 -90.0180.000015258789 90.0World:worldregionsWorld Regions represents the boundaries for the regions of the world. There are 25 commonly recognized world regions.Worldworldregionsurn:ogc:def:crs:EPSG::4326-180.0 -89.9180.0 83.624World:worldcitiesstedenwereldnomenclatuururn:ogc:def:crs:EPSG::4326-176.152 -54.792179.222 78.2World:worldcountriesWereldlandengrenzenbegrenzingurn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 83.624MarineRegions:worldcountries_esri_2014This dataset is the World Countries 2014 database from ESRI (data from DeLorme, 2014), adapted to be consistent with the Maritime Boundaries v11 dataset (Flanders Marine Institute, 2019). Changes to the original World Countries database include adapting the coastline such as adding reefs extracted from the Coral Reef Distribution UNEP for the countries where reefs were fundamental for the correct calculation of the maritime areas, and removing rocks. Several territories with overlapping claims have been added to be consistent with the Exclusive Economic Zones. ISO and M49 UN country codes have been included in the attributes for territories and sovereigns. The original World Countries database is redistributable with proper metadata and source/copyright attribution (esri.com). The Maritime Boundaries dataset is available under a CC-BY license at http://marineregions.orgworldcountriesesriboundariesadministrativeAdministrative unitsurn:ogc:def:crs:EPSG::4326-181.800003051758 -90.8683242797852181.800003051758 84.533821105957World:world_platesThe dataset is representing the different lithospheric plates on the earth's surface.featuresworld_platesurn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 90.0World:worldriversrivierenbegrenzingwaterlichamenurn:ogc:def:crs:EPSG::4326-164.887 -36.969160.764 71.392Scheldemonitor:zeehonden20062011zeehondenzeezoogdierenzeelandzeehondentellingurn:ogc:def:crs:EPSG::43263.47161459922791 51.35723876953124.21888017654419 51.9110488891602Scheldemonitor:zeehonden20062010urn:ogc:def:crs:EPSG::43263.472 51.3574.219 51.911Scheldemonitor:zeez9308zeezoogdierenzeehondendeltagebiedScheldeluchtmonitoringvliegtuigmammaliaurn:ogc:def:crs:EPSG::43263.453 51.3494.146 51.913Scheldemonitor:zoneringzoneringzoetzoutsaliniteitzoutgehalteScheldeatlasurn:ogc:def:crs:EPSG::43263.543 51.2854.315 51.463Kustportaal:geslotenzone_zgrThe maximum extraction depth for the exploration of sand and gravel in the Belgian sea areas was established by Ministerial Decree on 28 September 2020. On the basis of this new reference level, subzones within the control zones are delineated where this level has globally been reached or exceeded. These will be closed for exploitation as of 1 January 2026. Each year, these zones will be re-evaluated and, if necessary, adjusted. The area THBREF has been closed for exploitation since 1 October 2010 and serves as a reference area for biological monitoring. Sectors 3a and 3b are alternately open for exploitation. Currently, sector 3b is used as an unloading quay. This will remain the case until the area has become too shallow for dredgers who are used for maintenance dredging or until another economic or ecological criterion encourages the government to relocate this quay. Source: FPS EconomyzandgrindextractiegeslotenArea management / restriction / regulation zones & reporting unitsurn:ogc:def:crs:EPSG::43262.59612 51.2896173.0569896697998 51.5473Kustportaal:lw_zoo_seasonZooplankton is sampled with a WP2 vertical plankton net at each of the 9 monthly and 8 seasonal LifeWatch stations. Digital images of the zooplankton are generated with the ZooSCAN to be processed for automatic classification. Finally, these data are validated by an expert.RV Simon StevinstationsamplingplanktonplanktonSpecies distributionurn:ogc:def:crs:EPSG::43262.25117468833923 51.18301010131843.22584223747253 51.8030738830566Dataportal:abiotic_observations_countfeaturesabiotic_observations_counturn:ogc:def:crs:EPSG::4326-1.0 -1.00.0 0.0Dataportal:abiotic_observations_summaryfeaturesabiotic_observations_summaryurn:ogc:def:crs:EPSG::4040000.0 0.01.0 1.0World:aquamapsfeaturesaquamapsurn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 90.0Scheldemonitor:bevolkingskern_2011featuresbevolkingskern_2011urn:ogc:def:crs:EPSG::289923.282382601348653 50.745845498853627.230275098124264 53.484899058118046Dataportal:biotic_observations_countfeaturesbiotic_observations_counturn:ogc:def:crs:EPSG::4326-1.0 -1.00.0 0.0Dataportal:biotic_observations_summaryfeaturesbiotic_observations_summaryurn:ogc:def:crs:EPSG::4040000.0 0.01.0 1.0Dataportal:biotic_observations_summary_aphiaidfeaturesbiotic_observations_summary_aphiaidurn:ogc:def:crs:EPSG::4040000.0 0.01.0 1.0Dataportal:categoriesfeaturescategoriesurn:ogc:def:crs:EPSG::4326-1.0 -1.00.0 0.0Dataportal:categories2featurescategories2urn:ogc:def:crs:EPSG::4040000.0 0.01.0 1.0Dataportal:categories_get_by_datatypecategories_get_by_datatypefeaturesurn:ogc:def:crs:EPSG::4326-1.0 -1.00.0 0.0Dataportal:datafiches_get_by_datasource_and_dataorigin_and_datatypefeaturesdatafiches_get_by_datatypeurn:ogc:def:crs:EPSG::4326-1.0 -1.00.0 0.0Dataportal:dataorigin_get_by_datasource_and_datatypefeaturesdataorigin_get_by_datatypeurn:ogc:def:crs:EPSG::4326-1.0 -1.00.0 0.0Dataportal:dataportal_get_observations_wherebioticobservations_searchfeaturesurn:ogc:def:crs:EPSG::43262.913889 3.5833333333333351.4583333333333 51.657788Dataportal:dataproviders_get_by_datatypefeaturesdataproviders_get_by_datatypeurn:ogc:def:crs:EPSG::4326-1.0 -1.00.0 0.0Dataportal:datasetsdatasetsfeaturesurn:ogc:def:crs:EPSG::4326-1.0 -1.00.0 0.0World:dissolved_gshhsdissolved_gshhsfeaturesurn:ogc:def:crs:EPSG::4326-180.0 -90.0180.000015258789 83.6333923339844MarineRegions:distritos_ecologicosfeaturesdistritos_ecologicosurn:ogc:def:crs:EPSG::4326-84.96965077499993 19.817866450000054-74.08788377499997 23.306988450000063World:drifts(update 2018)featuresdriftsurn:ogc:def:crs:EPSG::4326-180.016665381645 -73.4054463611856179.999922674346 77.9399223881428SAIL:e_k_gl_aonbe_k_gl_aonbfeaturesurn:ogc:def:crs:EPSG::4326-0.303403338594143 50.85581115529151.4053876565855 52.0225025878024SAIL:e_k_gl_nnrfeaturese_k_gl_nnrurn:ogc:def:crs:EPSG::4326-0.465166400714641 50.91090993164471.40515409565302 52.04163671898SAIL:e_k_gl_sssie_k_gl_sssifeaturesurn:ogc:def:crs:EPSG::4326-0.50553724517438 50.91046631051881.45194768287615 52.0897940345841Dataportal:geoobjectsgeoobjectsfeaturesurn:ogc:def:crs:EPSG::4326-180.000000258 -85.470290577180.0 89.9968610477613Dataportal:geoobjects_get_by_namefeaturesgeoobjects_get_by_nameurn:ogc:def:crs:EPSG::4326-180.000000258 -85.470290577180.0 89.9968610477613MarineRegions:land_v9The ESRI Countries 2014 was the primary source for the Maritime Boundaries v9 baseline. The coastline was extracted from the ESRI Countries 2014 and then combined with reefs data extracted from Coral Reef Distribution UNEP for the countries where reefs were fundamental for the correct calculation of the maritime areas, as intended by the coastal state. Several other fixes were made to the coastline to ensure that the coastline could be used as an appropriate normal baseline for the drawing of the multiple Maritime Boundaries areas. More information: http://www.marineregions.org/eezmethodology.phpfeaturesland_v9Maritime boundarieslandcoastlineurn:ogc:def:crs:EPSG::4326-181.771850585938 -80.0242614746094181.646286010742 84.1555099487305Scheldemonitor:moneos_monitoring_points_clusterMONEOS monitoring activities in the Schelde represented as clustered-standardized stations (points)featuresmoneos_monitoring_points_clusterurn:ogc:def:crs:EPSG::43263.1635 50.937228034.74237 51.657788SAIL:np_abpfeaturesnp_abpurn:ogc:def:crs:EPSG::43261.61482529863082 50.4007245531812.94049152941476 50.9842183060291SAIL:np_pnrfeaturesnp_pnrurn:ogc:def:crs:EPSG::43261.56309186930927 49.96902625976454.23143026724397 50.9621622119768SAIL:np_rnnp_rnfeaturesurn:ogc:def:crs:EPSG::43261.58611727672874 50.52840437837822.51156063985502 51.0764543324036SAIL:np_siteclas_regionnp_siteclas_regionfeaturesurn:ogc:def:crs:EPSG::43261.55838813327591 50.12025721713033.93671048014519 51.092819281598SAIL:np_siteinsc_regionfeaturesnp_siteinsc_regionurn:ogc:def:crs:EPSG::43261.55838813327591 50.05276769669924.20284195233086 51.079290959682Dataportal:parametersfeaturesurn:ogc:def:crs:EPSG::4326-1.0 -1.00.0 0.0Dataportal:parameters_get_by_name_and_categoryfeaturesparameters_get_by_name_and_categoryurn:ogc:def:crs:EPSG::4326-1.0 -1.00.0 0.0WoRMS:pointsfeaturespointsurn:ogc:def:crs:EPSG::4326-180.0 -90.0180.0 90.0Scheldemonitor:rechttrekkingenfeaturesrechttrekkingenurn:ogc:def:crs:EPSG::313703.7416457409622588 50.966821264548724.754330623766876 51.3736287643804Dataportal:rshiny_waveheights_statisticsfeaturesrshiny_waveheights_statisticsurn:ogc:def:crs:EPSG::43263.242039999999069 51.35144999998584.210150000000056 51.502700000001155SAIL:sail_touristfeaturessail_touristurn:ogc:def:crs:EPSG::4326-0.507767081255988 49.969064.27966000847632 52.09277Sealevels:sealevelsfeaturessealevelsurn:ogc:def:crs:EPSG::4326-178.1602285632045 -69.00777938015557179.195203583904 82.49000164979999Dataportal:smparametersSee https://vliz.atlassian.net/wiki/spaces/IT/pages/969375844/Dataportal+-+Supported+parameters+per+layer?featuressmparametersurn:ogc:def:crs:EPSG::43263.001967850827604 3.163551.5955 52.99945003633966Dataportal:taxafeaturestaxa_get_by_functional_group2urn:ogc:def:crs:EPSG::4326-1.0 -1.00.0 0.0Dataportal:taxa_child_synonymfeaturestaxa_child_synonymurn:ogc:def:crs:EPSG::4040000.0 0.01.0 1.0Scheldemonitor:telgeb_niet_brvogels_wsfeaturestelgeb_niet_brvogels_wsurn:ogc:def:crs:EPSG::289923.490291593687986 51.285575420660244.250166612002312 51.4872131260466OpenAIS:vessel_densityVessel Density for OpenAIS dataset. Data is for 1km^2 hexagon grid that has the time that a class of vessels have spent within the grid per month. There is also an "average" and "all" aggregate for the month and class variables. This allows a yearly average of classes, or all ships, to be displayed.featuresvessel_densityurn:ogc:def:crs:EPSG::43260.182806330043474 49.492169936880197.018304547757198 53.809729126658354SAIL:w_marinehabitatdw_marinehabitatdfeaturesurn:ogc:def:crs:EPSG::43262.50322984552686 51.09262709706652.91754447504125 51.2786210562141SAIL:z_nbwetfeaturesz_nbweturn:ogc:def:crs:EPSG::43263.37283313357907 51.28304945120984.39676751049021 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