Flanders Marine Institute (VLIZ) - Geoserver WMS Service

EMODnet EurOBIS Occurences as Geospatial Grid (Dataportal:eurobis_rasters-obisenv)

The Occurences as Geospatial Grid summarises occurences as the number of occurences in a geospatial grid. There are four grid size levels available, plus the possibility of retrieving each point directly. For more information, please consult: https://github.com/EMODnet/EMODnet-Biology-Guidance.

Topografische kaart van de regio rond Aalst, gemaakt door Depot de la Guerre, 1893 (HistorischeKaarten:DepotDeLaGuerre_Aalst_1893)

Topografische kaart van de Schelde nabij Antwerpen, gemaakt door Depot de la Guerre, 1892 (HistorischeKaarten:DepotDeLaGuerre_Antwerpen_1892)

Topografische kaart van de Schelde nabij Appels, gemaakt door Depot de la Guerre, 1893 (HistorischeKaarten:DepotDeLaGuerre_Appels_1893)

Topografische kaart van de Schelde nabij Berendrecht, gemaakt door Depot de la Guerre, 1892 (HistorischeKaarten:DepotDeLaGuerre_Berendrecht_1892)

Topografische kaart van de Rupel nabij Boom, gemaakt door Depot de la Guerre, 1892 (HistorischeKaarten:DepotDeLaGuerre_Boom_1892)

Topografische kaart van de Schelde nabij Dendermonde, gemaakt door Depot de la Guerre, 1893 (HistorischeKaarten:DepotDeLaGuerre_Dendermonde_1893)

Topografische kaart van de Schelde nabij Destelbergen, gemaakt door Depot de la Guerre, 1893 (HistorischeKaarten:DepotDeLaGuerre_Destelbergen_1893)

Topografische kaart van de Schelde nabij Doel, gemaakt door Depot de la Guerre, 1892 (HistorischeKaarten:DepotDeLaGuerre_Doel_1892)

Topografische kaart van de Schelde nabij Hemixem, gemaakt door Depot de la Guerre, 1892 (HistorischeKaarten:DepotDeLaGuerre_Hemixem_1892)

Topografische kaart van de Schelde nabij Kallo, gemaakt door Depot de la Guerre, 1892 (HistorischeKaarten:DepotDeLaGuerre_Kallo_1892)

Topografische kaart van de regio nabij Lokeren, gemaakt door Depot de la Guerre, 1893 (HistorischeKaarten:DepotDeLaGuerre_Lokeren_1893)

Topografische kaart van de Schelde nabij de NoordlandPolder, gemaakt door Depot de la Guerre, 1881 (HistorischeKaarten:DepotDeLaGuerre_NoordlandPolder_1881)

Topografische kaart van de Schelde nabij Oordegem, gemaakt door Depot de la Guerre, 1893 (HistorischeKaarten:DepotDeLaGuerre_Oordegem_1893)

Topografische kaart van de regio rond Oosterzele, gemaakt door Depot de la Guerre, 1893 (HistorischeKaarten:DepotDeLaGuerre_Oosterzele_1893)

Topografische kaart van de Schelde nabij St Amands, gemaakt door Depot de la Guerre, 1892 (HistorischeKaarten:DepotDeLaGuerre_StAmands_1892)

Topografische kaart van de regio rond St Niklaas, gemaakt door Depot de la Guerre, 1892 (HistorischeKaarten:DepotDeLaGuerre_StNiklaas_1892)

Topografische kaart van de Schelde nabij Temse, gemaakt door Depot de la Guerre, 1892 (HistorischeKaarten:DepotDeLaGuerre_Temse_1892)

Topografische kaart van de Schelde nabij Uitbergen, gemaakt door Depot de la Guerre, 1893 (HistorischeKaarten:DepotDeLaGuerre_Uitbergen_1893)

EMOD-PACE - WP5 Vessel traffic density - Other (EMODPACE:EMOD-PACE_VD_2019_01_st_00)

EMOD-PACE - WP5 Vessel traffic density - Service (EMODPACE:EMOD-PACE_VD_2019_01_st_02)

EMOD-PACE - WP5 Vessel traffic density - Sailing (EMODPACE:EMOD-PACE_VD_2019_01_st_04)

EMOD-PACE - WP5 Vessel traffic density - High Speed Craft (EMODPACE:EMOD-PACE_VD_2019_01_st_06)

EMOD-PACE - WP5 Vessel traffic density - Passenger (EMODPACE:EMOD-PACE_VD_2019_01_st_08)

EMOD-PACE - WP5 Vessel traffic density - Tanker (EMODPACE:EMOD-PACE_VD_2019_01_st_10)

EMOD-PACE - WP5 Vessel traffic density - Unknown (EMODPACE:EMOD-PACE_VD_2019_01_st_12)

EMOD-PACE - WP5 Vessel traffic density - All (EMODPACE:EMODPACE-VD-2019-All)

EMOD-PACE - WP5 Vessel traffic density - All

EMOD-PACE - WP5 Vessel traffic density - Dredging or underwater ops (EMODPACE:EMODPACE-VD-2019-Dredging)

EMOD-PACE - WP5 Vessel traffic density - Dredging or underwater ops

EMOD-PACE - WP5 Vessel traffic density - High Speed Craft (EMODPACE:EMODPACE-VD-2019-Highspeed)

EMOD-PACE - WP5 Vessel traffic density - High Speed Craft

EMOD-PACE - WP5 Vessel traffic density - Other (EMODPACE:EMODPACE-VD-2019-Other)

EMOD-PACE - WP5 Vessel traffic density - Pleasure craft (EMODPACE:EMODPACE-VD-2019-Pleasure)

EMOD-PACE - WP5 Vessel traffic density - Pleasure craft

EMOD-PACE - WP5 Vessel traffic density - Service (EMODPACE:EMODPACE-VD-2019-Service)

EMOD-PACE - WP5 Vessel traffic density - Tug and towing (EMODPACE:EMODPACE-VD-2019-Tug)

EMOD-PACE - WP5 Vessel traffic density - Tug and towing

ETOPO1 global relief model (bedrock) (MarineRegions:ETOPO1_Bed_g_geotiff)

ETOPO1 is a 1 arc-minute global relief model of Earth's surface that integrates land topography and ocean bathymetry. Built from global and regional data sets, it is available in "Ice Surface" (top of Antarctic and Greenland ice sheets) and "Bedrock" (base of the ice sheets). The grid-registered is the authoritative registration. Horizontal datum: WGS 84 geographic Vertical datum: sea level. More specific vertical datums, such as mean sea level, mean high water, and mean low water, differ by less than the vertical accuracy of ETOPO1 (~10 meters at best), and are therefore effectively equivalent.

Gemiddelde hoogste grondwaterstand (cm onder maaiveld) (ecosysteemdiensten:Grondwater_ghg_cm)

Gemiddelde hoogste grondwaterstand (cm onder maaiveld)

Flandria Borealis (HistorischeKaarten:K2_23_2007_271)

Map made by Quad von Kinckelbach, Matthias (graveur); Hogenberg, Frans in the 17° century. More information through the metadata and on the website of HisGISKust.

Flandria (HistorischeKaarten:K3_10_2007_411)

Map made by Mercator, Gerardus; Ortelius, Abraham in the 16° century. More information through the metadata and on the website of HisGISSchelde.

Flandria comit(atus) (HistorischeKaarten:K3_27_2007_420)

Map made by Mercator, Gerardus in the 17° century. More information through the metadata and on the website of HisGISKust.

Flandria (HistorischeKaarten:K3_45_2007_437)

Map made by Van Berckenrode; Balthasars, Floris in the 17° century. More information through the metadata and on the website of HisGISKust.

Celeberrimi Flandriae comitatus typus (HistorischeKaarten:K3_52_2007_462)

Map made by Kaerius, Petrus in the 17° century. More information through the metadata and on the website of HisGISSchelde.

Kaerte van Sluys, het Zwin, ende de schansen aen weder syden (HistorischeKaarten:K3_59_2007_464)

Map made by in the 17° century. More information through the metadata and on the website of HisGISKust.

Caerte van t'Vrye synde een gedeelte van Vlaendren van nieus gecorigeert en met vlijt gebetert (HistorischeKaarten:K3_61_2007_466)

Map made by Visscher, Claes Jansz in the 17° century. More information through the metadata and on the website of HisGISKust.

Pars Flandriae orientalis; Franconatum, insulam Cadsant etc. Civitatesque Gandavum,Brugas, Slusam, Oostendam aliasque continens (HistorischeKaarten:K3_66_2007_468)

Map made by Hondius, Henricus in the 17° century. More information through the metadata and on the website of HisGISKust.

Flandria nova descriptio (HistorischeKaarten:K3_70_2007_470)

Map made by Janssonius, Joannes in the 17° century. More information through the metadata and on the website of HisGISKust.

Flandriae partes duae quarum altera proprietaria altera imperialis vulgo dicitur (HistorischeKaarten:K4_12_2007_509)

Map made by Blaeu, Willem Jansz; Blaeu, Joannes in the 17° century. More information through the metadata and on the website of HisGISKust.

Tabula castelli ad Sandflitam, qua simul inundati agri, alluviones, fossae, alvei, quae Bergas ad Zomam et Antverpiam interjacent, annotantur (HistorischeKaarten:K4_16_2007_513)

Within the HisGISKust initiative, a cooperation agreement was concluded between the Flanders Marine Institute (VLIZ) and the Culture Library (Bruges). Historical maps were selected from the Culture Library collection containing specific information about the coastal zone (dunes, dykes, etc.), the Scheldt estuary and/or the Belgian part of the North Sea (BNZ) (sandbanks, indication bathymetry, etc .). The maps were digitised and georeferenced by VLIZ in order to offer them, together with the necessary metadata in open access, to end users. Shapefiles (eg coastline, dune areas, etc.) based on the georeferened maps are also generated and made freely available.

Flandria et Zeelandia comitatus (HistorischeKaarten:K4_2_2007_499)

Map made by Blaeu, Willem Jansz; Blaeu, Joannes in the 17° century. More information through the metadata and on the website of HisGISKust.

Flandriae Teutonicae pars orientalior (HistorischeKaarten:K4_3_2007_500)

Map made by Blaeu, Willem Jansz; Blaeu, Joannes in the 17° century. More information through the metadata and on the website of HisGISKust.

Westcappelle (HistorischeKaarten:K4_68_2007_606)

Map made by De Lahoese, J.B. (graveur); Mestdagh, J. (graveur); Ongers, J. (graveur) in the 19° century. More information through the metadata and on the website of HisGISKust.

Iprensis episcopatus (HistorischeKaarten:K4_8_2007_505)

Map made by Blaeu, Joannes; Blaeu, Cornelis in the 17° century. More information through the metadata and on the website of HisGISKust.

Plan de la ville de Dunkerque et de ses attaques avec les retranchements des Espagnols faicts en l'an 1648 (HistorischeKaarten:K5_19_2007_1257)

Map made by Blaeu, Joannes; du Plovich, Vedastus in the 17° century. More information through the metadata and on the website of HisGISKust.

K5_42_2007_1517 (HistorischeKaarten:K5_42_2007_1517)

Nieuwe pascaert bevattende in sich de kust van Vlaenderen vande Wielingen tot de Hoofden (HistorischeKaarten:K6_100_2007_2644)

Map made by van Keulen, Johannes in the 17° century. More information through the metadata and on the website of HisGISKust.

Carte du Comté de Flandre. Dressée sur differens morceaux levez sur les lieux fixez par les observations astronomiques (HistorischeKaarten:K6_111_2007_2918)

Map made by de l' Isle, Guillaume in the 18° century. More information through the metadata and on the website of HisGISKust.

Nouvelle carte de la province de Flandre (HistorischeKaarten:K6_130_2007_2924)

Map made by Walch, Jean in the 18° century. More information through the metadata and on the website of HisGISKust.

Le Comté de Flandres divisés en ses chastellenies, balliages etc (B) (HistorischeKaarten:K6_15_2007_1892B)

Map made by Jaillot, Hubert in the 18° century. More information through the metadata and on the website of HisGISKust.

Comitatus Flandriae nova tabula (HistorischeKaarten:K6_1_2007_1883)

Map made by Mariette, Pierre in the 17° century. More information through the metadata and on the website of HisGISKust.

Fiandra parte occidentale. Zelanda e parte orientale della Fiandra (B) (HistorischeKaarten:K6_25_2007_1882B)

Map made by Coronelli, Marc Vincent in the 17° century. More information through the metadata and on the website of HisGISSchelde.

Le comté de Flandre (HistorischeKaarten:K6_30_2007_2125)

Map made by Duval, Pierre in the 17° century. More information through the metadata and on the website of HisGISSchelde.

De cust van Vlaenderen beginnende vande Wielingen tot aen de Hoofden met alle haer sanden en droogten (HistorischeKaarten:K6_36_2007_2128)

Map made by Goos, Pieter in the 17° century. More information through the metadata and on the website of HisGISKust.

De custen van Walcheren: alsmede de Vlaemsche kusten en bancken (HistorischeKaarten:K6_41_2007_2314)

Map made by Colom, Jacob Aertsz in the 17° century. More information through the metadata and on the website of HisGISKust.

Flandriae comitatus in ejusdem subjacentes ditiones accuratissime divisus una cum adjacentibus (HistorischeKaarten:K6_46_2007_2316)

Map made by Visscher, Nicolaas II in the 17° century. More information through the metadata and on the website of HisGISKust.

Flandriae comitatus pars septentrionalis (HistorischeKaarten:K6_48_2007_2118)

Map made by Visscher, Nicolaas II in the 17° century. More information through the metadata and on the website of HisGISKust.

Flandriae comitatus pars Batavia (HistorischeKaarten:K6_52_2007_2122)

Map made by Visscher, Nicolaas II in the 17° century. More information through the metadata and on the website of HisGISSchelde.

Comitatus Flandriae tabula in lucem edita a Frederico De Wit Amsterodami (HistorischeKaarten:K6_65_2007_2712)

Map made by de Wit, Frederick; Deur, Abraham (graveur) in the 17° century. More information through the metadata and on the website of HisGISKust.

Comitatus Flandriae accuratissima descriptio (HistorischeKaarten:K6_85_2007_2910)

Map made by Allard, Carolus in the 18° century. More information through the metadata and on the website of HisGISSchelde.

Novissima ichnographica delineatio munitissimae urbis et celeberrimi emporii Ostendae, in comitatu Flandriae Austriacae sitae (HistorischeKaarten:K6_96_2007_2642)

Map made by Seutter, Matthaeus in the 18° century. More information through the metadata and on the website of HisGISKust.

Luchtfoto Mariakerke (HistorischeKaarten:MosaicMariakerke)

Luchtfoto Middelkerke, voor bombardement (HistorischeKaarten:MosaicMiddelkerke_voorbombardement)

Nieuwpoort_vroeg (HistorischeKaarten:Nieuwpoort_vroeg)

EMODnet OOPS products (Emodnetbio:OOPS_products)

Shapefile 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).

EMODnet OOPS regions (Emodnetbio:OOPS_regions)

Shapefile containing ICES ecoregions and Western Atlantic Hydrographic regions for the development of ICES operational Oceanographic Products and Services.

Sea Surface Temperature, st deviation 2003-2010 (MarineHeritage:Overal-stdev-2003-2010)

Carte de la Belgique d'après Ferraris, augmentée des plans des six villes principales et de l'indication des routes, canaux et autres traveaux exécutés depuis 1777 jusqu'en 1831. 42 feuilles. II - Berg-op-Zoom (HistorischeKaarten:P05e_2008_187b)

Map made by Ferraris, Joseph Jean François (de) in the 19° century. More information through the metadata and on the website of HisGISKust.

Carte de la Belgique d'après Ferraris, augmentée des plans des six villes principales et de l'indication des routes, canaux et autres traveaux exécutés depuis 1777 jusqu'en 1831. 42 feuilles. II - Bruxelles (HistorischeKaarten:P05e_2008_187d)

Map made by Ferraris, Joseph Jean François (de) in the 19° century. More information through the metadata and on the website of HisGISKust.

Carte de la Belgique d'après Ferraris, augmentée des plans des six villes principales et de l'indication des routes, canaux et autres traveaux exécutés depuis 1777 jusqu'en 1831. 42 feuilles. II - Gand (HistorischeKaarten:P05e_2008_187f)

Map made by Ferraris, Joseph Jean François (de) in the 19° century. More information through the metadata and on the website of HisGISKust.

Carte de la Belgique d'après Ferraris, augmentée des plans des six villes principales et de l'indication des routes, canaux et autres traveaux exécutés depuis 1777 jusqu'en 1831. 42 feuilles. II - Ypres (HistorischeKaarten:P05e_2008_187h)

Map made by Ferraris, Joseph Jean François (de) in the 19° century. More information through the metadata and on the website of HisGISKust.

Naeukeurige nieuwe land-caert des graefschaps Zeeland (HistorischeKaarten:P08d_2008_2136a)

Map made by Meertens, Joannes (drukker) in the 17° century. More information through the metadata and on the website of HisGISKust.

Descrittione ...di tutti i Paesi Bassi… - Oostende (HistorischeKaarten:P09g_2009_2177a)

Map made by Guicciardini, Lodovico in the 16° century. More information through the metadata and on the website of HisGISKust.

The English Atlas Volume IV. Containing the descroption of the Seventeen Provinces of the Low-Countries, or Netherlands236 : Flandria nova descriptio (HistorischeKaarten:P21a_2008_401a)

Map made by Janssonius van Waesbergen (uitgever); Pitt, Moses (auteur); Swart, Stephanus (uitgever) in the 17° century. More information through the metadata and on the website of HisGISKust.

The English Atlas Volume IV. Containing the descroption of the Seventeen Provinces of the Low-Countries, or Netherlands241 : Flandriae Teutonicae pars orientalior (HistorischeKaarten:P21a_2008_401c)

Map made by Janssonius van Waesbergen (publisher); Pitt, Moses (author); Swart, Stephanus (publisher) in the 17° century. More information through the metadata and on the website of HisGISKust.

Carte chorographique de la Belgique dédiée à la Convention NationaleKaart: 10 Ostende (HistorischeKaarten:P25a_2008_261b)

Map made by in the 18° century. More information through the metadata and on the website of HisGISKust.

Carte chorographique de la Belgique dédiée à la Convention NationaleKaart: 11 Sas-de-Gand (Ardenbourg) (HistorischeKaarten:P25a_2008_261d)

Map made by Louis Capitaine in the 18° century. More information through the metadata and on the website of HisGISKust.

Carte chorographique de la Belgique dédiée à la Convention NationaleKaart: 4 Berg-op-Zoom (HistorischeKaarten:P25a_2008_261f)

Map made by Louis Capitaine in the 18° century. More information through the metadata and on the website of HisGISKust.

De Groote Nieuwe Vermeerderde Zee-atlas ofte Water-werelt.Pas Caerte van Texel tot aende Hoofden Begrypende in sich de Zee-custen van Vries-land, Holland, Zeeland, Flaenderen; ende Oost-cust van Engeland (HistorischeKaarten:P38a_2011_2013b)

Map made by van Keulen, Johannes in the 17° century. More information through the metadata and on the website of HisGISKust.

Toonneel der steden van 's Konings Nederlanden, met hare beschrijvingen, Uytgegeven by Joan Blaeu Siege de Gravelines. 1644 (HistorischeKaarten:P38b_2013_1356b)

Map made by Blaeu, Joannes; de Langres in the 17° century. More information through the metadata and on the website of HisGISKust.

Toonneel der steden van 's Konings Nederlanden, met hare beschrijvingen, Uytgegeven by Joan Blaeu Duynkercka (HistorischeKaarten:P38b_2013_1356f)

Map made by Blaeu, Joannes in the 17° century. More information through the metadata and on the website of HisGISKust.

Toonneel der steden van 's Konings Nederlanden, met hare beschrijvingen, Uytgegeven by Joan Blaeu - Furna vernacule Veurne (HistorischeKaarten:P38b_2013_1356h)

Map made by Blaeu, Joannes; du Plovich, Vedastus in the 17° century. More information through the metadata and on the website of HisGISKust.

Zelandia comitatus (HistorischeKaarten:P38c_2011_1950a)

Map made by Mercator, Gerardus in the 16° century. More information through the metadata and on the website of HisGISKust.

Novus Atlas [1/2], das ist Weltbeschreibung...Ersten Theils ander Stuck17 : Pars Flandriae Teutonicae occidentalior (HistorischeKaarten:P39a_2013_2711b)

Map made by Blaeu, Joannes; Blaeu, Willem Jansz in the 17° century. More information through the metadata and on the website of HisGISKust.

Nouvelle carte du département de la Lys divisée en 39 cantons. Kaart Leiedepartement. (HistorischeKaarten:PAWV_K1)

Map made by J. Maillart et Soeur in the 18° century. More information through the metadata and on the website of HisGISKust.

Cartes topographiques et militaires de la Belgique - Blankenberghe (HistorischeKaarten:PAWV_K115_1)

Map made by De Lahoese, J.B.; Ongers, J. in the 19° century. More information through the metadata and on the website of HisGISKust.

Cartes topographiques et militaires de la Belgique - Oost-Dunkerke (HistorischeKaarten:PAWV_K115_3)

Map made by De Lahoese, J.B. in the 19° century. More information through the metadata and on the website of HisGISKust.

Cartes topographiques et militaires de la Belgique - Bruges (HistorischeKaarten:PAWV_K115_5)

Map made by De Lahoese, J.B.; Ongers, J.; Labargé, V. in the 19° century. More information through the metadata and on the website of HisGISKust.

Cartes topographiques et militaires de la Belgique - Roulers (HistorischeKaarten:PAWV_K115_7)

Map made by De Lahoese, J.B.; Ongers, J.; De Raedemaeker, F.; Labargé, V. in the 19° century. More information through the metadata and on the website of HisGISKust.

La Flandre Occidentale divisée en Arrondissemens et Cantons de Justice de Paix. Kaart van de Provincie West-Vlaanderen. (HistorischeKaarten:PAWV_K134)

Map made by G. Van Baarsel et fils in the 19° century. More information through the metadata and on the website of HisGISKust.

Stafkaart van Ostende (Oostende), 12. (HistorischeKaarten:PAWV_K1956)

Map made by De Lahoese, J.B.; Ongers, J.; Labargé, V. in the 20° century. More information through the metadata and on the website of HisGISKust.

Stafkaart van Westcapelle (Westkapelle), 5. (HistorischeKaarten:PAWV_K1959)

Map made by the Military Chartographic Institute in the 20° century. More information through the metadata and on the website of HisGISKust.

Stafkaart van Ostende (Oostende). (HistorischeKaarten:PAWV_K2039)

Map made by in the 20° century. More information through the metadata and on the website of HisGISKust.

North Sea - C. Griz Nez to Westkapelle. Kaart om zeeligging te bepalen in de Noordzee, behorend bij het schoolboek Plaatsbepaling op Zee, in Scheepvaart- en Zeevisserijreeks nr. 2 (Menen, 1949). (HistorischeKaarten:PAWV_K5)

Map made by in the 20° century. More information through the metadata and on the website of HisGISKust.

Atlas of tides and tidal streams - British Islands and adjacent waters. 3 hours after H.W. Dover (HistorischeKaarten:PAWV_K6_11)

Map made by in the 20° century. More information through the metadata and on the website of HisGISKust.

Atlas of tides and tidal streams - British Islands and adjacent waters. 5 hours after H.W. Dover (HistorischeKaarten:PAWV_K6_13)

Map made by in the 20° century. More information through the metadata and on the website of HisGISKust.

Atlas of tides and tidal streams - British Islands and adjacent waters. 6 hours before H.W. Dover (HistorischeKaarten:PAWV_K6_2)

Map made by in the 20° century. More information through the metadata and on the website of HisGISKust.

Atlas of tides and tidal streams - British Islands and adjacent waters. 4 hours before H.W. Dover (HistorischeKaarten:PAWV_K6_4)

Map made by in the 20° century. More information through the metadata and on the website of HisGISKust.

Atlas of tides and tidal streams - British Islands and adjacent waters. 2 hours before H.W. Dover (HistorischeKaarten:PAWV_K6_6)

Map made by in the 20° century. More information through the metadata and on the website of HisGISKust.

Atlas of tides and tidal streams - British Islands and adjacent waters. H.W. Dover (HistorischeKaarten:PAWV_K6_8)

Map made by in the 20° century. More information through the metadata and on the website of HisGISKust.

Département de la Lys, divisé en 4 arrondissements et en 36 cantons gravé par P.A.F. Tardieu. (HistorischeKaarten:PAWV_K7)

Map made by in the 18° century. More information through the metadata and on the website of HisGISKust.

Carte topographique de la Belgique, dressée sous la direction de Ph.Vander Maelen […] - Anvers (HistorischeKaarten:PK9_2004_1078a)

Map made by Vander Maelen, Philippe in the 19° century. More information through the metadata and on the website of HisGISKust.

Carte topographique de la Belgique, dressée sous la direction de Ph.Vander Maelen […] - Calloo (HistorischeKaarten:PK9_2004_1078c)

Map made by Vander Maelen, Philippe in the 19° century. More information through the metadata and on the website of HisGISKust.

Carte topographique de la Belgique, dressée sous la direction de Ph.Vander Maelen […] - Dunkerque (HistorischeKaarten:PK9_2004_1078e)

Map made by Vander Maelen, Philippe in the 19° century. More information through the metadata and on the website of HisGISKust.

Carte topographique de la Belgique, dressée sous la direction de Ph.Vander Maelen […] - Ghistelles (HistorischeKaarten:PK9_2004_1078g)

Map made by Vander Maelen, Philippe in the 19° century. More information through the metadata and on the website of HisGISKust.

Carte topographique de la Belgique, dressée sous la direction de Ph.Vander Maelen […] - L'Ecluse (HistorischeKaarten:PK9_2004_1078i)

Map made by Vander Maelen, Philippe in the 19° century. More information through the metadata and on the website of HisGISKust.

Carte topographique de la Belgique, dressée sous la direction de Ph.Vander Maelen […] - Nieuport (HistorischeKaarten:PK9_2004_1078k)

Map made by Vander Maelen, Philippe in the 19° century. More information through the metadata and on the website of HisGISKust.

Carte topographique de la Belgique, dressée sous la direction de Ph.Vander Maelen […] - Santvliet (HistorischeKaarten:PK9_2004_1078m)

Map made by Vander Maelen, Philippe in the 19° century. More information through the metadata and on the website of HisGISKust.

Carte topographique de la Belgique, dressée sous la direction de Ph.Vander Maelen […] - Tamise (HistorischeKaarten:PK9_2004_1078o)

Map made by Vander Maelen, Philippe in the 19° century. More information through the metadata and on the website of HisGISKust.

Carte topographique de la Belgique, dressée sous la direction de Ph.Vander Maelen, fondateur de l'établissement géographique de Bruxelles, à l'échelle de 1 à 20.000, en 250 feuilles. le dessin et les levés topographiques par J.F.De Keyser, J.B.Vander Wee, (HistorischeKaarten:PK9_2004_1078q)

Map made by Vander Maelen, Philippe in the 19° century. More information through the metadata and on the website of HisGISKust.

Escaut. Partie comprise entre Burght et Anvers. Levée et sondée en 1875, par orde de Mr Beernaert, Ministre des Travaux Publics, par Mr. L. Petit, Lieutenant de Vaisseau de 1re classe. (HistorischeKaarten:Petit_1875_Hemiksem)

Escaut. Partie comprise entre Tamise et les Briqueteries de Rupelmonde. Levée et sondée en 1876, , par ordre de Mr. Beernaert, Ministre des Travaux Publics, par Mr. L. Petit, Lieutenant de Vaisseau de 1re classe. (HistorischeKaarten:Petit_1875_Temse)

Escaut. Partie comprise entre Tamise et le Moulin de pierre de Mariakerke. Levée et sondée en 1875 et 1876, par ordre de Mr. Beernaert, Ministre des Travaux Publics, par Mr. L. Petit, Lieutenant de Vaisseau de 1re classe. (HistorischeKaarten:Petit_1876_Temse)

Escaut. Partie comprise entre le Fort la Perle et Lillo. Levée et sondée en 1877. Par ordre de Mr Beernaert, Ministre des Travaux Publics, par Mr L. Petit, Lieutenant de Vaisseau de 1re classe. (HistorischeKaarten:Petit_1877_Lillo)

The piscatorial atlas (Olsen, 1883) - Norway and Sweden - The set of tides at half ebb and half flood (HistorischeKaarten:PiscAtl_01)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - North Sea soundings (HistorischeKaarten:PiscAtl_03)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Herring (HistorischeKaarten:PiscAtl_05)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Shad (HistorischeKaarten:PiscAtl_07)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Sprat (HistorischeKaarten:PiscAtl_09)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Garfish (HistorischeKaarten:PiscAtl_11)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Mackerel (HistorischeKaarten:PiscAtl_13)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Whiting (HistorischeKaarten:PiscAtl_15)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Haddock (HistorischeKaarten:PiscAtl_17)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Hake (HistorischeKaarten:PiscAtl_19)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Tusk (HistorischeKaarten:PiscAtl_21)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Conger (HistorischeKaarten:PiscAtl_23)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Wolf (HistorischeKaarten:PiscAtl_25)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Bass (HistorischeKaarten:PiscAtl_27)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Red gurnard (HistorischeKaarten:PiscAtl_29)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Surmullet (HistorischeKaarten:PiscAtl_31)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Wrasse (HistorischeKaarten:PiscAtl_33)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Sole (HistorischeKaarten:PiscAtl_35)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Dab (HistorischeKaarten:PiscAtl_37)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Plaice (HistorischeKaarten:PiscAtl_39)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Turbot (HistorischeKaarten:PiscAtl_41)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Thornback ray (HistorischeKaarten:PiscAtl_43)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Lobster (HistorischeKaarten:PiscAtl_45)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Shrimp (HistorischeKaarten:PiscAtl_47)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

The piscatorial atlas (Olsen, 1883) - Whelk (HistorischeKaarten:PiscAtl_49)

Map made by Olsen, O.T. in the 19° century. More information through the metadata and on the website of HisGISKust.

Carte de Belgique. Réduction des plans cadastraux. Commune d'Anvers. Province d'Anvers. Arrondissement d'Anvers. Canton d'Anvers. N°2 (HistorischeKaarten:RedKad_Anvers_1852)

Carte de Belgique. Réduction des plans cadastraux. Commune de Austruweel. Province d'Anvers. Arrondissement d'Anvers. Canton d'Anvers (HistorischeKaarten:RedKad_Austruweel_1852)

Carte de Belgique. Réduction des plans cadastraux. Commune de Basel. (HistorischeKaarten:RedKad_Basel)

Carte de Belgique. Réduction des plans cadastraux. Commune de Berlaere. Province de Flandre Orientale. Arrondissement de Termonde. Canton de Wetteren (HistorischeKaarten:RedKad_Berlaere)

Carte de Belgique. Réduction des plans cadastraux. Commune de Bornhem. Province d'Anvers (HistorischeKaarten:RedKad_Bornhem_noord_1852)

Carte de Belgique. Réduction des plans cdastraux. Commune de Buggenhout. Province de Fl Orientale. Arrondissement de Termonde. Canton de Termonde. N°39 (HistorischeKaarten:RedKad_Buggenhout_1852)

Carte de Belgique. Réduction des plans cadastraux. Commune de Calcken. Province de Fl Orientale. Arrondissement de Termonde. Canton de Wetteren. N°42 (HistorischeKaarten:RedKad_Calcken_1852)

Carte de Belgique. Réduction des plans cadastraux. Commune de Calloo. Province de Fl. Orientale. Arrondissement de St Nicolas, Canton de Bèveren. N° 43. (HistorischeKaarten:RedKad_Calloo_1852)

Carte de Belgique. Réduction des plans cadastraux. Commune de Destelbergen. Province de Flandre Orientale. Arrondissement de Gand (HistorischeKaarten:RedKad_Destelbergen)

Carte de Belgique. Réduction des plans cadastraux. Commune de Elversele. Province de Flandre Orientale. Arrondissement de St Nicolas. Canton de Tamise (HistorischeKaarten:RedKad_Elversele)

Carte de Belgique. Réduction des plans cadastraux. Commune de Grembergen (HistorischeKaarten:RedKad_Grembergen)

Carte de Belgique. Réduction des plans cadastraux. Commune d'Hemixem. Province d'Anvers. Arrondissement d'Anvers. Canton de Contich. N°45 (HistorischeKaarten:RedKad_Hemixem_1851)

Carte de Belgique. Réduction des plans cadastraux. Commune de Heyndonck. Province d' Anvers. Arrondissement de Malines. Canton de Malines. N°48 (HistorischeKaarten:RedKad_Heyndonck_1851)

Carte de Belgique. Réduction des plans cadastraux. Commune d' Hoboken. Province d' Anvers. Arrondissement d' Anvers. Canton de Wilryck. N°51 (HistorischeKaarten:RedKad_Hoboken_1851)

Carte de Belgique. Réduction des plans cadastraux. Commune de Lokeren (1re Partie). Province de Fl. Orientale. Arrondissement de St Nicolas. Canton de Lokeren. (HistorischeKaarten:RedKad_Lokeren)

Carte de Belgique. Réduction des plans cadastraux. Commune de Mariekerke. Province d'Anvers (HistorischeKaarten:RedKad_Mariekerke)

Carte de Belgique. Réduction des plans cadastraux. Commune de Melsele. Province de Flandre Orientale. Arrondissement de St Nicolas. Canton de Beveren (HistorischeKaarten:RedKad_Melsele)

Carte de Belgique. Réduction des plans cadastraux. Commune de Moerzeke. Province de Flandre Orientale. Arrondissement de Termonde. Carton de Hamme. N°165 (HistorischeKaarten:RedKad_Moerzeke_1852)

Carte de Belgique. Réduction des plans cadastraux. Commune de Oorderen (HistorischeKaarten:RedKad_Oorderen)

Carte de Belgique. Réduction des plans cadastraux. Commune de Rumpst et Terhaegen. Province d'Anvers. Arrondissement d'Anvers. Canton de Contich. N°99 (HistorischeKaarten:RedKad_Rumpst_1851)

Carte de Belgique. Réduction des plans cadastraux. Commune de Saint-Amand. Province d'Anvers. (HistorischeKaarten:RedKad_SaintAmand)

Carte de Belgique. Réduction des plans cadastraux. Commune de Schelle. Province d'Anvers. Arrondissement d'Anvers. Canton de Contich. N°107 (HistorischeKaarten:RedKad_Schelle_1851)

Carte de Belgique. Réduction des plans cadastraux. Commune de Steendorp. Province de Flandre Orientale. Arrondissement de St Nicolas (HistorischeKaarten:RedKad_Steendorp_1852)

Carte de Belgique. Réduction des plans cadastraux. Commune de Termonde. Province de Flandre Oriental. Arrondissement de Termonde. Canton de Termonde (HistorischeKaarten:RedKad_Termonde)

Carte de Belgique. Réduction des plans cadastraux. Commune de Uytbergen. Province de Flandre Orientale. Arrondissement de Termonde. Canton de Wetteren (HistorischeKaarten:RedKad_Uytbergen)

Carte de Belgique. Réduction des plans cadastraux. Commune de Weert. Province d'Anvers. Arrondissement de Boom (HistorischeKaarten:RedKad_Weert)

Carte de Belgique. Réduction des plans cadastraux. Commune de Wichelen et Schoonaerde. Province de Flandre Orientale. Arrondissement de Termonde. Canton de Wetteren (HistorischeKaarten:RedKad_Wichelen_Schoonaerde_1852)

Carte de Belgique. Réduction des plans cadastraux. Commune de Wilmarsdonk. Province d'Anvers. Arrondissement d'Anvers (HistorischeKaarten:RedKad_Wilmarsdonk)

Carte de Belgique. Réduction des plans cadastraux. Commune de Zele. Province de Flandre Orientale. Arrondissement de Termonde. Canton de Lokeren (HistorischeKaarten:RedKad_Zele_zuid_1852)

Sondages effectués en 1888 par le service de l'hydrographie. Partie de l'Escaut entre le Roupel et Tamise. (HistorischeKaarten:Rochet_1888_Rupelmonde)

Escaut. Partie comprise entre le Doel et la boueéblanche 32. Sondée en mai 1893 (HistorischeKaarten:Rochet_1893_Oudendijk)

EMODnet Gridded abundances of marine species (10 year average) (Emodnetbio:Species_gridded_abundances_10year)

This 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.

EMODnet Gridded abundances of marine species (3 year average) (Emodnetbio:Species_gridded_abundances_3year)

This 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.

De Burght à Austruweel. Sondages du 1e au 5 juillet 1873, par le soussigné Capitaine Lt de vaisseau A. Stessels. (HistorischeKaarten:Stessels_1873_BurchtOosterweel)

Escaut. Etat des passes, du balisage et de l'éclairage, à la suite d' unde reconnaissance faite par ordre du gouvernement belge par A. Stessels, Capitaine-lieutenant de vaisseau, Chef du service hydrographique. (HistorischeKaarten:Stessels_1875_VlissingenAntwerpen)

Luchtfoto Westkust (HistorischeKaarten:Westkust_mosaic)

Luchtfoto Zeebrugge, geen raid (HistorischeKaarten:ZB_noRaid)

Dataportal - Abiotic observations (Dataportal:abiotic_observations)

EMODnet Relative abundance Acartia spp. masked with relative error 0.3 (North Atlantic, 1958-2016) (Emodnetbio:aca_spp_19582016_L1)

Gridded abundance map of Acartia spp. This product was developed with DIVA (Data-Interpolating Variational Analysis). Data was provided by SAHFOS (Continuous Plankton Recorder) for use as an ICES operational oceanographic product.

Antarctic Conservation Biogeographic Regions (ACBRs, Antarctica, 2017) (Antarctica:acbr_v2_2016)

Citation: Terauds, A. (2016, updated 2017) An update of the Antarctic Conservation Biogeographic Regions (ACBRs) Australian Antarctic Data Centre - doi:10.4225/15/5729930925224

Administrative boundaries IZemouren, Al Hoceima, Youssed Ou Ali, Imzouren, Bni Bouyach, Trougout (Morocco:admin_boundary)

Administrative boundaries Al Hoceima, Trougout, Izemouren, Youssed Ou Ali, BNI Bouyach, Imzouren

Aéroport Charif Idrissi, Al Hoceima (Morocco:airoport)

Airport Al Hoceima CASE - PEGASOproject

Temporal Turnover in European Macrobenthos Communities (Emodnetbio:all_diversity_measures)

This 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.

TBD - Ankerplaatsen Noordzee (NorthSea:ankerplaats)

Antarctic territorial claims (Antarctica:antarctica_claims)

This 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 VLIZ

Share of appartments (Belgian coastal area, 2018-2022) (Kustportaal:appartementen_37)

The proportion of appartments against the different types of housing. Source: FOD Financiën, Administratie van het kadaster, de registratie en de domeinen

Arctic Marine Areas (MarineRegions:arcticmarineareas)

There 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-bba0aec50582

Bathing areas (Belgian coast, 2013) (Kustportaal:badzones_buffer250m)

The displayed bathing areas are based on the Provincial Spatial Implementation Plan 'Strand en Dijk 2013'.

Dredging and dumping sites (Belgian part of North Sea, 2013) (Kustportaal:baggerlocaties_2013)

The location of dredging and dumping sites in the BNS for the year 2013.

Dredging and dumping sites (Belgian part of North Sea, 2015) (Kustportaal:baggerlocaties_2015)

The location of dredging and dumping sites in the BNS for the year 2015.

Dredging Zone, Belgian Continental Shelf (NorthSea:baggerzonesbcp)

Sub-watershed Drainage Basins for Baltic Sea drainage basin region (Pesi:basinsbalticsea)

The 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.

MARSPEC: global marine bathymetry (MARSPEC:bathy_30s1)

Footprints bathymetric surveys wrecks VLIZ (Belgian part of North Sea, 2012-2018) (Kustportaal:bathy_vliz_wrecks)

This 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.

Bathymetric difference map (unit: dm, Paardenmarkt, 1855-1825) (Paardenmarkt:bathymetry_diff_1855-1825)

The difference map between 1825 and 1855 is created based on depth measurements of the two historical bathymetry maps ‘Water depths Cotes-des-Pays-Bas, Reprductie Beautemps-Beaupré 1825’ and ‘L' Embouchure de L' Escaut, Marine Néerlandaise 1855’. This map is created to further look into the dynamics and evolution of the seabed. Red colours indicate erosion whereas green colours indicate sedimentation (in decimeters). For the interpolation process the same mask layer was used. to make sure that the resolutions of the new depth layers were similar. This was done in order to perform raster calculations with the new depth maps to further observe changes on the seabed between these maps. Thus, the difference map represents the height differences over time of the seabed between an older and a newer map. There are three time series: (1) period 1825 – 1996 in ~10-year steps; (2) period 1968-1980 in 1-4-year steps; (3) period 1904-1996 in ~50-year steps.

Bathymetric difference map (unit: dm, Paardenmarkt, 1878-1865) (Paardenmarkt:bathymetry_diff_1878-1865)

The difference map between 1865 and 1878 is created based on depth measurements of the two historical bathymetry maps ‘L' Embouchure de L' Escaut, Marine Néerlandaise 1865’ and ‘L' Embouchure de L' Escaut, Marine Néerlandaise 1878’. This map is created to further look into the dynamics and evolution of the seabed. Red colours indicate erosion whereas green colours indicate sedimentation (in decimeters). For the interpolation process the same mask layer was used. to make sure that the resolutions of the new depth layers were similar. This was done in order to perform raster calculations with the new depth maps to further observe changes on the seabed between these maps. Thus, the difference map represents the height differences over time of the seabed between an older and a newer map.

Bathymetric difference map (unit: dm, Paardenmarkt, 1904-1895) (Paardenmarkt:bathymetry_diff_1904-1895)

The difference map between 1895 and 1904 is created based on depth measurements of the two historical bathymetry maps ‘Zeegat van Vlissingen, J. M. Phaff, H. O. W. Planten en E. E. Dullemond 1895’ and ‘Rade de Heyst 1904’. This map is created to further look into the dynamics and evolution of the seabed. Red colours indicate erosion whereas green colours indicate sedimentation (in decimeters). For the interpolation process the same mask layer was used. to make sure that the resolutions of the new depth layers were similar. This was done in order to perform raster calculations with the new depth maps to further observe changes on the seabed between these maps. Thus, the difference map represents the height differences over time of the seabed between an older and a newer map.

Bathymetric difference map (unit: dm, Paardenmarkt, 1954-1904) (Paardenmarkt:bathymetry_diff_1954-1904)

The difference map between 1904 and 1954 is created based on depth measurements of the two historical bathymetry maps ‘Rade de Heyst 1904’ and ‘De Haan - Nederlandse grens, Hydrografische dienst der Kust Oostende’. This map is created to further look into the dynamics and evolution of the seabed. Red colours indicate erosion whereas green colours indicate sedimentation (in decimeters). For the interpolation process the same mask layer was used. to make sure that the resolutions of the new depth layers were similar. This was done in order to perform raster calculations with the new depth maps to further observe changes on the seabed between these maps. Thus, the difference map represents the height differences over time of the seabed between an older and a newer map.

Bathymetric difference map (unit: dm, Paardenmarkt, 1968-1959) (Paardenmarkt:bathymetry_diff_1968-1959)

The difference map between 1959 and 1968 is created based on depth measurements of the two historical bathymetry maps ‘Vlaamse Banken - Hydrografische Dienst der Kust Oostende (metingen 1935-1965)’ and ‘Vlaamse Banken - Hydrografische Dienst der Kust Oostende (metingen 1935-1967)’. This map is created to further look into the dynamics and evolution of the seabed. Red colours indicate erosion whereas green colours indicate sedimentation (in decimeters). For the interpolation process the same mask layer was used. to make sure that the resolutions of the new depth layers were similar. This was done in order to perform raster calculations with the new depth maps to further observe changes on the seabed between these maps. Thus, the difference map represents the height differences over time of the seabed between an older and a newer map.

Bathymetric difference map (unit: dm, Paardenmarkt, 1972-1904) (Paardenmarkt:bathymetry_diff_1972-1904)

The difference map between 1904 and 1972 is created based on depth measurements of the two historical bathymetry maps ‘Rade de Heyst 1904’ and ‘Belgische- Ne kust, Monding der Westerschelde, Dienst der Kust Oostende 1972’. This map is created to further look into the dynamics and evolution of the seabed. Red colours indicate erosion whereas green colours indicate sedimentation (in decimeters). For the interpolation process the same mask layer was used. to make sure that the resolutions of the new depth layers were similar. This was done in order to perform raster calculations with the new depth maps to further observe changes on the seabed between these maps. Thus, the difference map represents the height differences over time of the seabed between an older and a newer map.

Bathymetric difference map (unit: dm, Paardenmarkt, 1973-1972) (Paardenmarkt:bathymetry_diff_1973-1972)

The difference map between 1972 and 1973 is created based on depth measurements of the two historical bathymetry maps ‘Belgische- Ne kust, Monding der Westerschelde, Dienst der Kust Oostende 1972’ and ‘Vlaamse Banken - Hydrografische Dienst der Kust Oostende (metingen 1959-1972)’. This map is created to further look into the dynamics and evolution of the seabed. Red colours indicate erosion whereas green colours indicate sedimentation (in decimeters). For the interpolation process the same mask layer was used. to make sure that the resolutions of the new depth layers were similar. This was done in order to perform raster calculations with the new depth maps to further observe changes on the seabed between these maps. Thus, the difference map represents the height differences over time of the seabed between an older and a newer map.

Bathymetric difference map (unit: dm, Paardenmarkt, 1980-1974) (Paardenmarkt:bathymetry_diff_1980-1974)

The difference map between 1974 and 1980 is created based on depth measurements of the two historical bathymetry maps ‘Vlaamse Banken - Hydrografische Dienst der Kust Oostende (metingen 1959-1973)’ and ‘Vlaamse Banken - Hydrografische Dienst der Kust Oostende (metingen 1959-1979)’. This map is created to further look into the dynamics and evolution of the seabed. Red colours indicate erosion whereas green colours indicate sedimentation (in decimeters). For the interpolation process the same mask layer was used. to make sure that the resolutions of the new depth layers were similar. This was done in order to perform raster calculations with the new depth maps to further observe changes on the seabed between these maps. Thus, the difference map represents the height differences over time of the seabed between an older and a newer map.

Bathymetric difference map (unit: dm, Paardenmarkt, 1996-1904) (Paardenmarkt:bathymetry_diff_1996-1904)

The difference map between 1904 and 1996 is created based on depth measurements of the two historical bathymetry maps ‘Rade de Heyst 1904’ and ‘Vlaamse Banken - Hydrografische Dienst der Kust Oostende 1996’. This map is created to further look into the dynamics and evolution of the seabed. Red colours indicate erosion whereas green colours indicate sedimentation (in decimeters). For the interpolation process the same mask layer was used. to make sure that the resolutions of the new depth layers were similar. This was done in order to perform raster calculations with the new depth maps to further observe changes on the seabed between these maps. Thus, the difference map represents the height differences over time of the seabed between an older and a newer map.

Bathymetric difference map (unit: dm, Paardenmarkt, 1996-1972) (Paardenmarkt:bathymetry_diff_1996-1972)

The difference map between 1972 and 1996 is created based on depth measurements of the two historical bathymetry maps ‘Belgische- Ne kust, Monding der Westerschelde, Dienst der Kust Oostende 1972’ and ‘Vlaamse Banken - Hydrografische Dienst der Kust Oostende 1996’. This map is created to further look into the dynamics and evolution of the seabed. Red colours indicate erosion whereas green colours indicate sedimentation (in decimeters). For the interpolation process the same mask layer was used. to make sure that the resolutions of the new depth layers were similar. This was done in order to perform raster calculations with the new depth maps to further observe changes on the seabed between these maps. Thus, the difference map represents the height differences over time of the seabed between an older and a newer map.

Bathymetry (unit: dm/reference plane: GLLWS, Paardenmarkt, 1811) (Paardenmarkt:bathymetry_gllws_1811)

Water depths of the Paardenmarkt area in the year 1811. Bathymetry map is based on the georeferenced historical maps ‘Water depths Cotes-des-Pays-Bas, Reprductie Beautemps-Beaupré’ containing depth measurements. The depth values on all the maps are measured from the chart datum mean lowest low water spring (GLLWS = ‘gemiddelde laag-laagwaterspring’). Interpolations of the vector points layers to raster layers was done with the GRASS function ‘v.surf.rst’ to create the bathymetrie map. The GRASS function interpolates a vector point maps, using splines, with a raster layer used as mask (https://grass.osgeo.org/grass78/manuals/v.surf.rst.html).

Bathymetry (unit: dm/reference plane: GLLWS, Paardenmarkt, 1842) (Paardenmarkt:bathymetry_gllws_1842)

Water depths of the Paardenmarkt area in the year 1842. Bathymetry map is based on the georeferenced historical ‘L' Embouchure de L' Escaut, Marine Néerlandaise’ containing depth measurements. The depth values on all the maps are measured from the chart datum mean lowest low water spring (GLLWS = ‘gemiddelde laag-laagwaterspring’). Interpolations of the vector points layers to raster layers was done with the GRASS function ‘v.surf.rst’ to create the bathymetrie map. The GRASS function interpolates a vector point maps, using splines, with a raster layer used as mask (https://grass.osgeo.org/grass78/manuals/v.surf.rst.html).

Bathymetry (unit: dm/reference plane: GLLWS, Paardenmarkt, 1865) (Paardenmarkt:bathymetry_gllws_1865)

Water depths of the Paardenmarkt area in the year 1865. Bathymetry map is based on the georeferenced historical maps ‘L' Embouchure de L' Escaut, Marine Néerlandaise’ containing depth measurements. The depth values on all the maps are measured from the chart datum mean lowest low water spring (GLLWS = ‘gemiddelde laag-laagwaterspring’). Interpolations of the vector points layers to raster layers was done with the GRASS function ‘v.surf.rst’ to create the bathymetrie map. The GRASS function interpolates a vector point maps, using splines, with a raster layer used as mask (https://grass.osgeo.org/grass78/manuals/v.surf.rst.html).

Bathymetry (unit: dm/reference plane: GLLWS, Paardenmarkt, 1895) (Paardenmarkt:bathymetry_gllws_1895)

Water depths of the Paardenmarkt area in the year 1895. Bathymetry map is based on the georeferenced historical maps ‘Zeegat van Vlissingen, J. M. Phaff, H. O. W. Planten en E. E. Dullemond’ containing depth measurements. The depth values on all the maps are measured from the chart datum mean lowest low water spring (GLLWS = ‘gemiddelde laag-laagwaterspring’). Interpolations of the vector points layers to raster layers was done with the GRASS function ‘v.surf.rst’ to create the bathymetrie map. The GRASS function interpolates a vector point maps, using splines, with a raster layer used as mask (https://grass.osgeo.org/grass78/manuals/v.surf.rst.html).

Bathymetry (unit: dm/reference plane: GLLWS, Paardenmarkt, 1949) (Paardenmarkt:bathymetry_gllws_1949)

Water depths of the Paardenmarkt area in the year 1949. Bathymetry map is based on the georeferenced historical maps ‘Gravelines - Westkapelle, Hydrografie Noordzee’ containing depth measurements. The depth values on all the maps are measured from the chart datum mean lowest low water spring (GLLWS = ‘gemiddelde laag-laagwaterspring’). Interpolations of the vector points layers to raster layers was done with the GRASS function ‘v.surf.rst’ to create the bathymetrie map. The GRASS function interpolates a vector point maps, using splines, with a raster layer used as mask (https://grass.osgeo.org/grass78/manuals/v.surf.rst.html).

Bathymetry (unit: dm/reference plane: GLLWS, Paardenmarkt, 1959) (Paardenmarkt:bathymetry_gllws_1959)

Water depths of the Paardenmarkt area in the year 1959. Bathymetry map is based on the georeferenced historical maps ‘Vlaamse Banken - Hydrografische Dienst der Kust Oostende (metingen 1935-1965)’ containing depth measurements. The depth values on all the maps are measured from the chart datum mean lowest low water spring (GLLWS = ‘gemiddelde laag-laagwaterspring’). Interpolations of the vector points layers to raster layers was done with the GRASS function ‘v.surf.rst’ to create the bathymetrie map. The GRASS function interpolates a vector point maps, using splines, with a raster layer used as mask (https://grass.osgeo.org/grass78/manuals/v.surf.rst.html).

Bathymetry (unit: dm/reference plane: GLLWS, Paardenmarkt, 1966) (Paardenmarkt:bathymetry_gllws_1966)

Water depths of the Paardenmarkt area in the year 1966. Bathymetry map is based on the georeferenced historical maps ‘Vlaamse Banken - Hydrografische Dienst der Kust Oostende (metingen 1935-1965)’ containing depth measurements. The depth values on all the maps are measured from the chart datum mean lowest low water spring (GLLWS = ‘gemiddelde laag-laagwaterspring’). Interpolations of the vector points layers to raster layers was done with the GRASS function ‘v.surf.rst’ to create the bathymetrie map. The GRASS function interpolates a vector point maps, using splines, with a raster layer used as mask (https://grass.osgeo.org/grass78/manuals/v.surf.rst.html).

Bathymetry (unit: dm/reference plane: GLLWS, Paardenmarkt, 1971) (Paardenmarkt:bathymetry_gllws_1971)

Water depths of the Paardenmarkt area in the year 1971. Bathymetry map is based on the georeferenced historical maps ‘Vlaamse Banken - Hydrografische Dienst der Kust Oostende (metingen 1959-1971)’ containing depth measurements. The depth values on all the maps are measured from the chart datum mean lowest low water spring (GLLWS = ‘gemiddelde laag-laagwaterspring’). Interpolations of the vector points layers to raster layers was done with the GRASS function ‘v.surf.rst’ to create the bathymetrie map. The GRASS function interpolates a vector point maps, using splines, with a raster layer used as mask (https://grass.osgeo.org/grass78/manuals/v.surf.rst.html).

Bathymetry (unit: dm/reference plane: GLLWS, Paardenmarkt, 1973) (Paardenmarkt:bathymetry_gllws_1973)

Water depths of the Paardenmarkt area in the year 1973. Bathymetry map is based on the georeferenced historical maps ‘Vlaamse Banken - Hydrografische Dienst der Kust Oostende (metingen 1959-1972)’ containing depth measurements. The depth values on all the maps are measured from the chart datum mean lowest low water spring (GLLWS = ‘gemiddelde laag-laagwaterspring’). Interpolations of the vector points layers to raster layers was done with the GRASS function ‘v.surf.rst’ to create the bathymetrie map. The GRASS function interpolates a vector point maps, using splines, with a raster layer used as mask (https://grass.osgeo.org/grass78/manuals/v.surf.rst.html).

Bathymetry (unit: dm/reference plane: GLLWS, Paardenmarkt, 1980) (Paardenmarkt:bathymetry_gllws_1980)

Water depths of the Paardenmarkt area in the year 1980. Bathymetry map is based on the georeferenced historical maps ‘Vlaamse Banken - Hydrografische Dienst der Kust Oostende (metingen 1959-1979)’ containing depth measurements. The depth values on all the maps are measured from the chart datum mean lowest low water spring (GLLWS = ‘gemiddelde laag-laagwaterspring’). Interpolations of the vector points layers to raster layers was done with the GRASS function ‘v.surf.rst’ to create the bathymetrie map. The GRASS function interpolates a vector point maps, using splines, with a raster layer used as mask (https://grass.osgeo.org/grass78/manuals/v.surf.rst.html).

Bathymetry (unit: dm/reference plane: GLLWS, Paardenmarkt, 1982) (Paardenmarkt:bathymetry_gllws_1982)

Water depths of the Paardenmarkt area in the year 1982. Bathymetry map is based on the georeferenced historical maps ‘Vlaamse Banken - Hydrografische Dienst der Kust Oostende (metingen 1959-1981)’ containing depth measurements. The depth values on all the maps are measured from the chart datum mean lowest low water spring (GLLWS = ‘gemiddelde laag-laagwaterspring’). Interpolations of the vector points layers to raster layers was done with the GRASS function ‘v.surf.rst’ to create the bathymetrie map. The GRASS function interpolates a vector point maps, using splines, with a raster layer used as mask (https://grass.osgeo.org/grass78/manuals/v.surf.rst.html).

Bathymetry (unit: dm/reference plane: GLLWS, Paardenmarkt, 1985) (Paardenmarkt:bathymetry_gllws_1985)

Water depths of the Paardenmarkt area in the year 1985. Bathymetry map is based on the georeferenced historical maps ‘Monding van de Westerschelde - Hydrografische Dienst der Kust Oostende’ containing depth measurements. The depth values on all the maps are measured from the chart datum mean lowest low water spring (GLLWS = ‘gemiddelde laag-laagwaterspring’). Interpolations of the vector points layers to raster layers was done with the GRASS function ‘v.surf.rst’ to create the bathymetrie map. The GRASS function interpolates a vector point maps, using splines, with a raster layer used as mask (https://grass.osgeo.org/grass78/manuals/v.surf.rst.html).

Bathymetry (unit: dm/reference plane: GLLWS, Paardenmarkt, 1988) (Paardenmarkt:bathymetry_gllws_1988)

Water depths of the Paardenmarkt area in the year 1988. Bathymetry map is based on the georeferenced historical maps ‘Vlaamse Banken - Hydrografische Dienst der Kust Oostende’ containing depth measurements. The depth values on all the maps are measured from the chart datum mean lowest low water spring (GLLWS = ‘gemiddelde laag-laagwaterspring’). Interpolations of the vector points layers to raster layers was done with the GRASS function ‘v.surf.rst’ to create the bathymetrie map. The GRASS function interpolates a vector point maps, using splines, with a raster layer used as mask (https://grass.osgeo.org/grass78/manuals/v.surf.rst.html).

Bathymetry (unit: dm/reference plane: GLLWS, Paardenmarkt, 1996) (Paardenmarkt:bathymetry_gllws_1996)

Water depths of the Paardenmarkt area in the year 1996. Bathymetry map is based on the georeferenced historical maps ‘Vlaamse Banken - Hydrografische Dienst der Kust Oostende’ containing depth measurements. The depth values on all the maps are measured from the chart datum mean lowest low water spring (GLLWS = ‘gemiddelde laag-laagwaterspring’). Interpolations of the vector points layers to raster layers was done with the GRASS function ‘v.surf.rst’ to create the bathymetrie map. The GRASS function interpolates a vector point maps, using splines, with a raster layer used as mask (https://grass.osgeo.org/grass78/manuals/v.surf.rst.html).

Bathymetry (unit: m/reference plane: LAT, Paardenmarkt, 2013) (Paardenmarkt:bathymetry_lat_2013)

Water depth of the dumpsite area (2013). Multibeam survey performed by Magelas.

Bathymetry (unit: m/reference plane: LAT, Paardenmarkt, 2023) (Paardenmarkt:bathymetry_lat_2023)

Water depth of the central dumpsite area (500x1000m area) (2023). Multibeam survey performed by GEOxyz.

North Sea bathymetry (polygons) (NorthSea:bathympoly)

Belgian Continental Shelf (NorthSea:bcs)

24 nautical mile limit (Belgian part of North Sea, 2015) (Belgium:be_24nm_2015)

Parallel line to the baseline at 24 nautical miles seaward. Source: Vlaamse Hydrografie

Baseline (Belgium, 2015) (Belgium:be_basislijn_2015)

The low-water mark (0 m depth line) and ends of permanent harbour works extending beyond the low-water mark. Source: Flemish Hydrography

Beach width along the Gulf of Al Hoceima (in meters) (Morocco:beach_width)

Beach width; Al Hoceima CASE - PEGASOproject

Arrondissements (Belgium, 2014) (Belgium:belgium_arrondissements)

This 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 Belux

Provinces (Belgium, 2014) (Belgium:belgium_provinces)

This 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 Belux

Summary presence/absence maps of macro-endobenthos in European Seas, based on the EMODNET Biology database (Emodnetbio:benthos_europe)

The 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.

Population density (Scheldt municipalities, 2008) (Scheldemonitor:bevolking2008)

Population density of the Scheldt municipalities in 2008 as calculated in the project 'Indicators of the Long-Term Vision 2030 (LTV) of the Scheldt Estuary'.

Evolution of population (Belgian coastal area, 2000-2022) (Kustportaal:bevolkingsevolutie_14)

Evolution of the population in the coastal area (coastal municipalities + hinterland municipalities). Source: rijksregister, processed by the province of West Flanders

Population centers in the Netherlands in 2001 (Scheldemonitor:bevolkingskernen2001)

Bathymetry (unit: m/reference plane: LAT, Lower Sea Scheldt, 2018) (Scheldemonitor:bez_bth_lat_mt_2018_1m1)

Bathymetric grid of the Beneden-Zeeschelde (Belgian border - Rupelmonde). Depths have positive values, heights negative. The resolution of the grid is 1 meter. The reference plane is LAT.

Dataportal - Biotic observations (Dataportal:biotic_observations)

Boeien Vloot (2013) (NorthSea:boeien_vloot)

Bathymetry (unit: m/reference plane: TAW, Upper Sea Scheldt, 2017) (Scheldemonitor:boz_bth_taw_mt_2017_1m)

Bathymetric grid of the Upper Sea Scheldt, between Rupelmonde and Ghent. Depths have positive values, heights negative. The resolution of the grid is 1 meter. The reference plane is TAW.

Brazil States & Regions (World:brazil_states)

Count of birds, Western Scheldt (2012/2013 -2019/2020) (Scheldemonitor:broedvogels_ws)

Counting areas of the counted or estimated numbers of non breeding birds in the Western Scheldt from 2012/2013 till 2019/2020.

Buffer (500 m) boeien MT (2010) (NorthSea:buffer_boeien_mt)

Neighbourhoods in the Netherlands (Scheldemonitor:buurten2008)

EMODnet Relative abundance Calanus finmarchicus masked with relative error 0.3 (North Atlantic, 1958-2016) (Emodnetbio:cal_fin_19582016_L1_err)

Gridded abundance map of Calanus finmarchicus. This product was developed with DIVA (Data-Interpolating Variational Analysis). Data was provided by SAHFOS (Continuous Plankton Recorder) for use as an ICES operational oceanographic product.

Spatial interpolation of Calanus finmarchicus and Calanus helgolandicus observations in the North Sea (Emodnetbio:calanus_year_abundance)

Camping grounds (Flanders, 2018) (Kustportaal:campings_20180813)

Campsites 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.

Canadian provinces (World:canada_poly)

Installation de Stockage des Déchets Non Dangereux (France) (Lifewatch:centrestockage_sinoe)

Source: Sinoe

Chemical sampling points (Paardenmarkt, 2005) (Paardenmarkt:chemsamplingpoints_2005)

Chemical sampling points (Paardenmarkt, 2008) (Paardenmarkt:chemsamplingpoints_2008)

Chemical sampling points (Paardenmarkt, 2010) (Paardenmarkt:chemsamplingpoints_2010)

Chemical sampling points (Paardenmarkt, 2013) (Paardenmarkt:chemsamplingpoints_2013)

Chemical sampling points (Paardenmarkt, 2015) (Paardenmarkt:chemsamplingpoints_2015)

Chemical sampling points (Paardenmarkt, 2017) (Paardenmarkt:chemsamplingpoints_2017)

Chemical sampling points (Paardenmarkt, 2019) (Paardenmarkt:chemsamplingpoints_2019)

Surface sediment sampling and bottom water sampling (2019). In total 19 points were sampled. Sampling performed by DOVO. 

Chemical sampling points (Paardenmarkt, 2022) (Paardenmarkt:chemsamplingpoints_2022)

Surface sediment sampling and bottom water sampling (2022). In total 30 points were sampled. Sampling performed by DOVO.

EMODnet Relative abundance chlorophyll index masked with relative error 0.3 (North Atlantic, 1958-2016) (Emodnetbio:chli_19582016_L1_err)

Gridded map of the abundance of the chlorophyll index. This product was developed with DIVA (Data-Interpolating Variational Analysis). Data was provided by SAHFOS (Continuous Plankton Recorder) for use as an ICES operational oceanographic product.

Chlorophyll A (mean) [mol/m^3] (Bio-Oracle:chlomean)

Chlorophyll A concentration indicates the concentration of photosynthetic pigment chlorophyll A (the most common "green" chlorophyll) in oceans. Please note that in shallow water these values may reflect any kind of autotrophic biomass. Derivation of metric: Mean Period: 2002-2009 Units: mol/m^3 Primary type: Satellite (Aqua-MODIS), monthly climatologies Spatial resolution: 5 arcmin (9.2 km) Reference: (Feldman & McClain 2010) URL: http://oceancolor.gsfc.nasa.gov/

Chlorophyll A (range) [mol/m^3] (Bio-Oracle:chlorange)

Chlorophyll A concentration indicates the concentration of photosynthetic pigment chlorophyll A (the most common "green" chlorophyll) in oceans. Please note that in shallow water these values may reflect any kind of autotrophic biomass. Derivation of metric: Range Period: 2002-2009 Units: mol/m^3 Primary type: Satellite (Aqua-MODIS), monthly climatologies Spatial resolution: 5 arcmin (9.2 km) Reference: (Feldman & McClain 2010) URL: http://oceancolor.gsfc.nasa.gov/

Seasonal chlorophyll point values for 1980-2008 (Emodnet:chlorophyllpoints)

Chlorophyll 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.

Cloud fraction (maximum) [%] (Bio-Oracle:cloudmax)

Cloud fraction indicates how much of the earth is covered by clouds. A bilinear interpolation was used to convert the data from 6 arcminutes to 5 arcminutes. Derivation of metric: Maximum Period: 2005-2010 Units: % Primary type: Satellite (Terra-MODIS), monthly images Spatial resolution: 6 arcmin Reference: (NASA 2010) URL: http://neo.sci.gsfc.nasa.gov/Search.html

Cloud fraction (minimum) [%] (Bio-Oracle:cloudmin)

Cloud fraction indicates how much of the earth is covered by clouds. Derivation of metric: Minimum Period: 2005-2012 Units: % Primary type: Satellite (Terra-MODIS), monthly images Spatial resolution: 6 arcmin Reference: (NASA 2010) URL: http://neo.sci.gsfc.nasa.gov/Search.html

TBD_Coastline 2006 (NorthSea:coastline_2006)

Coasts Subnational Level (20150814) (MarineRegions:coasts_subnational)

Concessie Thorntonbank (NorthSea:concessie_thornton)

Concessiezones BCP (Feb2014) (NorthSea:concessiezones_201402)

Contour lines (zone 08, West-Groenendijk, 1983-1996) (Crestproject:contour_miwe08)

The contour lines of the map series 'Topography beach Flemish coast' were digitized by the Flanders Marine Institute, within the framework of the CREST-project . 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.

Coral reefs (MarineHeritage:coralreefs)

SAHFOS CPR standard areas (Emodnet:cprgrid)

CPR 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 Ocean

Test locations (CREST, Belgian coast, 2015-2019) (Crestproject:crest_testlocaties)

Two 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.

Percentage of agricultural area relative to total area (Belgian coastal area, 1985-2021) (Kustportaal:cultuurgrond_22)

Percentage 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 – Statbel

Diffuse attenuation coefficient at 490 nm (maximum) [m^-1] (Bio-Oracle:damax)

The diffuse attenuation coefficient is an indicator of water clarity. It expresses how deeply visible light in the blue to the green region of the spectrum penetrates in to the water column. Derivation of metric: Maximum Period: 2002-2009 Units: m^-1 Primary type: Satellite (Aqua-MODIS), monthly climatologies Spatial resolution: 5 arcmin (9.2 km) Reference: (Feldman & McClain 2010) URL: http://oceancolor.gsfc.nasa.gov/

Diffuse attenuation coefficient at 490 nm (minimum) [m^-1] (Bio-Oracle:damin)

The diffuse attenuation coefficient is an indicator of water clarity. It expresses how deeply visible light in the blue to the green region of the spectrum penetrates in to the water column. Derivation of metric: Minimum Period: 2002-2011 Units: m^-1 Primary type: Satellite (Aqua-MODIS), monthly climatologies Spatial resolution: 5 arcmin (9.2 km) Reference: (Feldman & McClain 2010) URL: http://oceancolor.gsfc.nasa.gov/

Deep water shipping route Western Scheldt approach (IMO, Belgian part of North Sea, 2017) (Kustportaal:deepwater_appscheldt)

Deep water shipping route Western Scheldt approach. IMO (2017)

Digital elevation model (zone 08, West-Groenendijk, 1983-1996) (Crestproject:dem_miwe08)

The digital elevation model was calculated through a linear interpolation of digitized contour lines. The resolution of the model is 1x1m.

Regions of Denmark (Europe:denmark)

Europe Level 1 Provinces represents the first level (or highest level available) subnational administrative units for Denmark.

Density map marine recreational fishery (beach angling, Belgian part of North Sea, 2016-2017) (Kustportaal:density_hengelstrand)

Density map based on 34 aerial observations in the period November 2016 - November 2017 in the framework of the Belgian marine recreational fisheries monitoring (www.recreatievezeevisserij.be).

Density map marine recreational fishery (wading using a small shrimp net, Belgian part North Sea, 2016-2017) (Kustportaal:density_kruien)

Density map based on 34 aerial observations in the period November 2016 - November 2017 in the framework of the Belgian marine recreational fisheries monitoring (www.recreatievezeevisserij.be).

Density map marine recreational fishery (passive nets, Belgian part of North Sea, 2016-2017) (Kustportaal:density_passievevisserij)

Density map based on 34 aerial observations in the period November 2016 - November 2017 in the framework of the Belgian marine recreational fisheries monitoring (www.recreatievezeevisserij.be).

ETN - Deployments (ETN:deployments)

dissolved_gshhs (World:dissolved_gshhs)

drifts (World:drifts)

(update 2018)

e_k_gl_aonb (SAIL:e_k_gl_aonb)

e_k_gl_sssi (SAIL:e_k_gl_sssi)

Emission Control Areas (ECAs) designated under regulation 14 of MARPOL Annex VI (SOx and particulate matter emission control) (MarineRegions:eca_reg14_sox_pm)

Polygon 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/10.14284/397

Ecotope map (Sea Scheldt, 1870-1880) (Scheldemonitor:ecotoop1870_1880_bez_boz)

An 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.

Ecotope map (Sea Scheldt, Rupel & Durme, 1960) (Scheldemonitor:ecotoop1960)

An 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.

Ecotope map (Sea Scheldt, Rupel & Durme, 2010) (Scheldemonitor:ecotoop2010)

An 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.

Ecotope map (Sea Scheldt, Rupel & Durme, 2013) (Scheldemonitor:ecotoop2013)

An 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.

Ecotope map (Lower Sea Scheldt, 2015) (Scheldemonitor:ecotoop2015_bez)

An 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.

Ecotope map (Lower Sea Scheldt, 2017) (Scheldemonitor:ecotoop2017_bez)

An 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.

Ecotope map (Sea Scheldt, Rupel & Durme, 2019) (Scheldemonitor:ecotoop2019)

An 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.

Ecotope map (Lower Sea Scheldt, 2021) (Scheldemonitor:ecotoop2021_bez)

An 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.

Extended Continental Shelves (v01, world, 2022) (MarineRegions:ecs)

This 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) or deposited 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).

EDULIS mariculture project (Belwind, Belgian part of North Sea, 2016-2018) (Kustportaal:edulis_belwind)

The 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.

Exclusive Economic Zones (200 NM) (v12, world, 2023) (MarineRegions:eez)

Version 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.

Contiguous Zones (24 NM) (v4, world, 2023) (MarineRegions:eez_24nm)

Version 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.

Maritime Boundaries (v12, world, 2023) (MarineRegions:eez_boundaries)

Version 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.

Marineregions: the intersect of the Exclusive Economic Zones and IHO areas (MarineRegions:eez_iho_union_v2)

The 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. Therefore, by combining the information on regional seas and national maritime boundaries, we can include both a environmental and managerial factor. We propose to overlay the information from the maritime boundaries (the Exclusive Economic Zones) with the IHO Sea Areas (IHO, 1953). This map including the global oceans and seas, has been drafted for hydrographic purposes, but also gives an unequivocal and acceptable distinction of the regional seas and oceans from an oceanographic point of view. The combination of these two boundaries allows us for example to create national regional sea areas for the global ocean.

Marine and land zones: the union of world country boundaries and EEZ's (MarineRegions:eez_land)

This 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 11 dataset.

10 meter elevation line (Morocco:elevation_10m)

Ratio NO3/PO4 in shellfish aquaculture facilities (European North West Shelf, January 2022) (Europe:emodnet_shellfish_rationpjan22)

Source 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-8971a3c2d2cc

European Marine Waters (ERMS Scope) (Europe:erms)

The 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.

European Pollutant Release and Transfer Register (E-PRTR) (version 7) (Lifewatch:eu_eprtrfacilities)

http://www.eea.europa.eu/data-and-maps/data/member-states-reporting-art-7-under-the-european-pollutant-release-and-transfer-register-e-prtr-regulation-10

EMODnet EurOBIS Full Occurrence Data and Parameters (Dataportal:eurobis-obisenv)

The 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.

EMODnet EurOBIS Occurences as Geospatial Grid (15x15 minute) (Dataportal:eurobis_grid_15m-obisenv)

The 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.

EMODnet EurOBIS Occurences as Geospatial Grid (30x30 minute) (Dataportal:eurobis_grid_30m-obisenv)

The 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.

EMODnet EurOBIS Occurences as Geospatial Grid (points) (Dataportal:eurobis_points-obisenv)

The 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.

EEA reference grid 100K (Europe:europe_100km)

This 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.

European reference grid 25K (Europe:europe_25km)

Europe NUTS Level 0 [2013] (Europe:europe_nuts_l0_2013)

Europe NUTS Level 2 [2013] (Europe:europe_nuts_l2_2013)

European provinces, level 1 (Europe:europe_prov1_2008)

European Countries (Europe:europecountries)

Europe Countries represents the countries of Europe.

European Major Rivers (Europe:europemajorrivers)

Europe Water contains other rivers/lakes for Europe.

Urban areas (Europe, 2008) (Europe:europeurban)

Spread of major urban areas in Europe.

FAO Statistical Areas for Fishery Purposes (MarineRegions:fao)

FAO Major Fishing Areas for Statistical Purposes are arbitrary areas, the boundaries of which were determined in consultation with international fishery agencies on various considerations, including (i) the boundary of natural regions and the natural divisions of oceans and seas; (ii) the boundaries of adjacent statistical fisheries bodies already established in inter-governmental conventions and treaties; (iii) existing national practices; (iv) national boundaries; (v) the longitude and latitude grid system; (vi) the distribution of the aquatic fauna; and (vii) the distribution of the resources and the environmental conditions within an area. 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.

Fish landings at Al Hoceima port (1983-2012) (Morocco:fishlandings)

Fish landings at Al Hoceima port (1983-2012)

Physiotopic map (Sea Scheldt, 2010) (Scheldemonitor:fysiotoop2010)

The 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.

Physiotopic map (Sea Scheldt, 2012) (Scheldemonitor:fysiotoop2012)

The 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.

Topo-bathymetry (unit: m/reference plane: NAP, Western Scheldt, 2009) (Scheldemonitor:ga20092)

Total grid of height-depth data from the Western Scheldt to produce different soil maps. Laser altimetry data combined with singlebeam load cell data where laser altimetry data has a higher priority than the sounder data. In order to fill the entire grid, it is then supplemented with multibeam soundings and additional data in Flemish territory.

Topo-bathymetry (unit: m/reference plane: NAP, Western Scheldt, 2011) (Scheldemonitor:ga2011)

Total grid of height-depth data from the Western Scheldt to produce different ground maps. Laser altimetry data combined with singlebeam sounding data where laser alimetry data has a higher priority than the sounding data. In order to fill the entire grid, it is then supplemented with multibeam soundings and additional data in Flemish territory.

Topo-bathymetry (unit: m/reference plane: NAP, Western Scheldt, 2013) (Scheldemonitor:ga2013)

Total grid of height-depth data from the Western Scheldt to produce different ground maps. Laser altimetry data combined with singlebeam sounding data where laser altimetry data has a higher priority than the sounding data. In order to fill the entire grid, it is then supplemented with multibeam soundings and additional data in Flemish territory.

Gas pipes (Belgian part of North Sea, 2018) (Kustportaal:gasleidingen)

The 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.

Miscellaneous polygons Marine Regions gazetteer (world, 2019) (MarineRegions:gazetteer_polygon)

Miscellaneous 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

GEANS data: Data sets generated in the framework of Genetic tools for ecosystem assessment in the North Sea Region (2019-2023) (NorthSea:geans_datasets)

Sustainable 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.

GEBCO global bathymetry (2014) (World:gebco_2014)

Spatial subdivision Scheldt estuary EMSE T2021 (Scheldt estuary, 2021) (Scheldemonitor:gebiedsindeling_emse)

Actual geographical distribution (2022) of polygons used in the Evaluation Methodology of the Scheldt Estuary (EMSE), as well as in the T2021 evaluation.

Municipalities in the Netherlands, 2008 (Scheldemonitor:gemeenten2008)

Electrical resistivity survey (Paardenmarkt, 2007) (Paardenmarkt:geoelectricprofiles_2007)

Network of geoelectric profiles (2007). Data acquisition by G-Tec.

geoobjects (Dataportal:geoobjects)

Bestortingen (Scheldemonitor:geulwand_moneos_t0)

RWS Moneos T0

Global Oceans and Seas (v1) (MarineRegions:goas)

Global 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).

Geulwandverdedigingen (Ossenisse) (Scheldemonitor:goss_1009_wgs84)

Om de gevolgen van de aanleg van de verdediging morfologische en ecologische aspecten te kunnen volgen wordt per verdediging in het kader van de WVOvergunning een monitoringsprogramma uitgevoerd. De lodinggegevens worden verwerkt tot een rasterkaart.

A 3x3 degree grid for the European Marine Waters (Emodnet:grid)

A 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).

Location GPRS loggers groundwater monitoring (INBO, Flanders) (Lifewatch:groundwaterloggers)

Fluctuations 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.

Gulf of Maine (World:gulf_of_maine)

The 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.

HAB monitoring grids (polygons, world, 2018) (MarineRegions:haedatgrids_polygon)

Height difference map (zone 08, West-Groenendijk, 1996-1983) (Crestproject:heightdiff_miwe08)

The height difference map was calculated by subtracting the 1983 digital elevation model from the 1996 digital elevation model. It depicts the evolution of the beach. The resolution of this map is 1x1m.

High Seas (v1, world, 2020) (MarineRegions:high_seas)

High 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 (2020). Maritime Boundaries Geodatabase: High Seas, version 1. Available online at http://www.marineregions.org/ https://doi.org/10.14284/418. Methodology: https://www.marineregions.org/eezmethodology.php

Grondcontrolepunten HisGIS (HistorischeKaarten:hk_referentiepunten)

Toponiemen Historische kaarten (polygonen) (HistorischeKaarten:hk_toponiemen_poly)

Hotels (Flanders, 2019) (Kustportaal:hotels_20191209)

Hotels 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.

Sectoren voor huisvuilophaling in Oostende (2017) (Lifewatch:huisvuilophaling_oostende)

ICES Statistical Areas (MarineRegions:ices_areas)

The ICES Statistical Areas delineates the divisions and subdivisions of FAO Major Fishing area 27. The ICES Statistical Areas are used as bounding areas for calculation of fish statistics, e.g. catch per unit effort (CPUE) and stock estimates.

ICES Statistical Rectangles (MarineRegions:ices_statistical_rectangles)

IHO quadrants (20150810) (MarineRegions:iho_quadrants_20150810)

Direct investments per seaport (Belgium, 2011-2019) (Kustportaal:investeringen_12)

Direct 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.

Clarion Clipperton Zone (ISA Environmental Management Area, 2023) (MarineRegions:isa_ccz_managementarea)

Preferred 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).

Italian marine biogeographic sector (Bianchi, 2004) (MarineRegions:itmarbiogeogsector_bianchi)

Subdivision 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.

JERICO_Bio_area (Emodnet:jerico_bio_area)

Areas where biological data was collected under the framework of the JERICO-Next project

JERICO_Bio_transects (Emodnet:jerico_bio_transects)

Transects where biological data was collected under the framework of the JERICO-Next project

Kilometer markers (Belgian coast, 2017) (Crestproject:kilometerpalen)

The 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 Kust

Species distribution model of invasive macroalgae (Emodnetbio:kuenm_models)

The 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.

land_v9 (coastline for Maritime Boundaries v9, without attribute information) (MarineRegions:land_v9)

The 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.php

Number of agricultural and horticultural enterprises (Belgian coastal area, 1994-2021) (Kustportaal:landtuinbouw_23)

Number 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 – Statbel

Length of OMES segments (R&M, Scheldt, 2015) (Scheldemonitor:lengte_segmenten_gebiedsindeling)

Based on the O&M geographical distribution of the Scheldt estuary and the centerline of the river, the length of each area was determined.

TDWG (Taxonomic Database Working Group), level 2 (TDWG:level2)

In 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)

TDWG (Taxonomic Database Working Group), level 4 (TDWG:level4)

In 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)

BirdCam stations (Lifewatch:lfbirdcams)

Currently 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.

LifeWatch Partners (Lifewatch:lfinstitutes)

Belgium 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.

Bat tracking network Motus – Antennas (Lifewatch:lfmotus)

As 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.

C-PODS - Cetacean passive acoustic network (C-PODS) (Lifewatch:lfstations_cpod)

As 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.

The 66 Large Marine Ecosystems of the World (MarineRegions:lme)

LMEs 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.

Global Biogeochemical Provinces (Longhurst) (MarineRegions:longhurst)

The 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.

GOODS Lower Bathyal Provinces (World:lowerbathyalprovinces)

The 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 0079-6611

Physical properties seawater (nitrite + nitrate + ammonium, Belgian part of North Sea, 2014-2017) (Kustportaal:lw_fys_season_nitramm)

Nutrient 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).

Physical properties seawater (temperature + salinity, Belgian part of North Sea, 2014-2017) (Kustportaal:lw_fys_season_tempsal)

At 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.

Trajectory European flounder (34456, Belgian part of North Sea + Western Scheldt, 2015-2016) (Kustportaal:lw_path_bot34456)

Trajectory of a tagged European flounder (Platichthys flesus).

Trajectory Atlantic cod (14868, Belgian part of North Sea + Western Scheldt, 2015-2016) (Kustportaal:lw_path_cod14868)

Trajectory of a tagged Atlantic cod (Gadus morhua).

Trajectory twaite shad (28277, Belgian part of North Sea + Scheldt, 2016) (Kustportaal:lw_path_fint28277)

Trajectory of a tagged twaite shad (Alosa fallax).

Trajectory European herring gull (Hilde, Belgium, 2016) (Kustportaal:lw_path_meeuwhilde)

Some 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.

Trajectory lesser black-backed gull (Peter, Belgium, 2016) (Kustportaal:lw_path_meeuwpeter)

Some 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.

Number of individual fish per station (Belgium, 2011-2018) (Kustportaal:lw_vissen_aantal)

Detections of tagged fish by the LifeWatch acoustic receiver network from 2011 until now. Both detections of the permanent network and temporary deployments are shown.

Marine biological valuation map of macrobenthos of the Belgian Part of the North Sea (BWZee:macro)

A marine biological valuation map for macrobenthos for the Belgian part of the North Sea BWZEE: A Biological Valuation Map for the Belgian Continental Shelf

Distinctive/unique communities - macrobenthos of the Belgian Part of the North Sea (BWZee:macro8)

Map 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.

Magnetometry - residual field anomaly (unit: nT, Paardenmarkt, 1996) (Paardenmarkt:magnetism_fieldanomaly_1996)

Map of residual magnetic field (unit: nT) (1996). Data acquisition by G-Tec.

Magnetometry - vertical magnetic gradient (unit: nT/m, Paardenmarkt, 2005) (Paardenmarkt:magnetism_verticalgradient_2005)

Map of vertical magnetic gradient (unit: nT/m) (2005). Data acquisition by G-Tec.

Magnetometry - vertical magnetic gradient (unit: nT/m, Paardenmarkt, 2023) (Paardenmarkt:magnetism_verticalgradient_2023)

Map of vertical magnetic gradient (unit: nT/m), central dumpsite area (500x1000m area) (2023). Data acquisition by GEOxyz.

Mangrove forests distributions of the world (World:mangroves)

From: 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.x

The Antarctic region (Marbin) (Antarctica:marbin_ant)

The 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 - RAMS

Cargo traffic per seaport (Belgium, 2000-2020) (Kustportaal:margoedoverslag_07)

Cargo 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.

EMODnet Absences of coralligenous outcrop (points) (Emodnetbio:mediseh_cor_abs_pnt)

Coral 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.

EMODnet Occurrences of coralligenous outcrop (points) (Emodnetbio:mediseh_cor_pnt)

Coralligenous 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.

EMODnet Modelled Spatial Distributions of Coralligenous Habitats (2014) (Emodnetbio:mediseh_coral_model)

This 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.

EMODnet Halophila stipulacea beds distribution (Emodnetbio:mediseh_halophila_pnt)

Halophila 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.

EMODnet Maërl bed occurences (points) in the Mediterranean Sea (Emodnetbio:mediseh_maerl_pnt)

Maërl 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.

EMODnet Posidonia oceanica meadows distribution - Coastline of Known Absence (line) (Emodnetbio:mediseh_posidonia_abs)

Coastline 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.

EMODnet Posidonia oceanica meadows distribution - Current Distribution (polygons) (Emodnetbio:mediseh_posidonia_current_shape)

Current 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.

EMODnet Posidonia oceanica meadows distribution - Historical Distribution (polygons) (Emodnetbio:mediseh_posidonia_historical_shape)

Historical 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.

EMODnet Posidonia oceanica meadows distribution - Coastline of No Data (line) (Emodnetbio:mediseh_posidonia_nodata)

Coastline 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.

EMODnet Ruppia maritima beds distribution (Emodnetbio:mediseh_ruppia_m_pnt)

Ruppia 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.

EMODnet Zostera noltii beds distribution (Emodnetbio:mediseh_zostera_n_pnt)

Zostera 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.

World Heritage marine sites in the Western Indian Ocean (MarineHeritage:mergedsites201205)

http://www.vliz.be/projects/marineworldheritage/

EMODnet Relative abundance Metridia lucens masked with relative error 0.3 (North Atlantic, 1958-2016) (Emodnetbio:met_luc_19582016_L1_err)

Gridded abundance map of Metridia lucens. This product was developed with DIVA (Data-Interpolating Variational Analysis). Data was provided by SAHFOS (Continuous Plankton Recorder) for use as an ICES operational oceanographic product.

Metal concentrations in sediments (Belgian part of North Sea, 2007-2015) (Kustportaal:metaalsediment_29)

Metal concentrations in sediments. MUMM (RBINS - OD Nature)

Missing geoterms in Marine Gazetteer for PESI (Pesi:missingareaspesi)

Combination 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.

MONEOS monitoring (points, Scheldt, 2009-2016) (Scheldemonitor:moneos_monitoring_points)

MONEOS monitoring activities in the Schelde represented as stations (points)

MONEOS monitoring (polygons, Scheldt, 2009-2016) (Scheldemonitor:moneos_monitoring_polygons)

MONEOS monitoring activities in the Schelde represented as polygons

Offshore mineral rights areas Norway (MarineRegions:mra_nor_blocks)

Mineral 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.

Dredging sites in the Scheldt Estuary (Scheldemonitor:mt_baggerzones_20090909)

Contour lines of the Scheldt Estuary (Scheldemonitor:mt_contour_20100115)

Dumping zones in the Scheldt (Scheldemonitor:mt_stortzones_20090909)

North America Coastal Water Bodies (MarineRegions:na_coastalwaterbodies)

This 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.pdf

NAFO (Northwest Atlantic Fisheries Organization) Divisions (World:nafo_divisions)

The Nekor and Ghis Plain along the Nekor and Ghis rivers (Morocco:nekor_and_ghis_plain)

Nekor and Ghis Plain; Al Hoceima CASE - PEGASOproject

Nitrate [µmol/l] (Bio-Oracle:nitrate)

This layer contains both [NO3] and [NO3+NO2] data. By this we mean chemically reactive dissolved inorganic nitrate and nitrate or nitrite. (It is important to note that data reported as [NO3] in the WOD09 should be used with caution because it is difficult to verify that the [NO3] (nitrate) data are [NO3+NO2] or [NO3]. (Boyer et al. 2009)) Manipulation: DIVA interpolation Period: 1928-2008 Units: µmol/l Primary type: in situ measurement Spatial resolution: World Ocean Database (2009) Reference: (Boyer et al. 2009) URL: http://www.nodc.noaa.gov/

Water Framework Directive chemical state of surface waters (lines, The Netherlands, 2009) (Scheldemonitor:nl_chem_toest_l)

The 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.

Ecological head structures in The Netherlands, 2009 (Scheldemonitor:nl_ecol_hfdstruct)

Water Framework Directive ecological state of surface waters (polygons, The Netherlands, 2009) (Scheldemonitor:nl_ecol_toest_v)

The 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.

National landscapes in the Netherlands, 2009 (Scheldemonitor:nl_nat_landsch)

TBD - Vogelrichtlijngebieden (NL) 2009 (Scheldemonitor:nl_vogel)

Annual mean nitrogen dioxide (NO2) concentrations (Belgian coastal area, 2018) (Kustportaal:no2_anmean_2018_coastalzone)

The yearly average atmospheric NO2-concentration in um/m³. Source: VMM

TBD - NOPSE Westerschelde (2003, SigmaPlan 2005) (Scheldemonitor:nopsenl)

np_abp (SAIL:np_abp)

np_rn (SAIL:np_rn)

np_siteinsc_region (SAIL:np_siteinsc_region)

Shoals North Sea (NorthSea:ondiepte_detail)

Shapefile van de ondieptes in de Noordzee, layer gebruikt in het kader van het project 'Zee van Toen'

Extraction volumes - gridded (Belgian part of North Sea, 2015-2020) (Kustportaal:ontginintensiteit_03_grid)

This raster represents the yearly extracted volume of sand (m³ / ha) based on data derived from the Electronic Monitoring System located on board of the trailing suction hopper dredgers active in the Belgian Part of the North Sea. For the mapping of the extracted volume presented here, it is assumed that the hopper of the trailing suction hopper dredger is completely filled during each extraction (i.e. filled at maximum capacity). Source: FPS Economy, Continental Shelf Service

OSPAR Regions (North-East Atlantic, 2014) (MarineRegions:ospar_regions)

Shapefile 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.

Government spending per seaport (Belgium, 1989-2020) (Kustportaal:overheidsuitgaven_13)

Government 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.

Water Framework Directive ecological state of surface waters (lines, Flanders, 2009) (Scheldemonitor:owl_ciw_lijn_v09)

The 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.

Paardenmarkt (NorthSea:paardenmarkt)

Large 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.

EMOD-PACE - WP3 T3.0 Ocean reanalysis and modelling Yellow Sea (EMODPACE:pace_wp3_t30_yellowsea_reanalysis_modelling)

EMOD-PACE - WP3 T3.0 Ocean reanalysis and modelling Yellow Sea

EMOD-PACE - WP3 T3.1 Observation dataset for validation North East Atlantic (EMODPACE:pace_wp3_t31_neatlantic_observationdataset)

EMOD-PACE - WP3 T3.1 Observation dataset for validation North East Atlantic

EMOD-PACE - WP4 T4.1 Habitat mapping for an Asian sea-basin (EMODPACE:pace_wp4_t41_asianseabasin_habitat)

EMOD-PACE - WP4 T4.1 Habitat mapping for an Asian sea-basin

EMOD-PACE - WP5 T5.1, 5.2, 5.3 Sea level changes, coastal erosion, wetland degradation (EMODPACE:pace_wp5_t5123_slc_ce_wd)

EMOD-PACE - WP5 T5.1, 5.2, 5.3 Sea level changes, coastal erosion, wetland degradation

PAH concentrations in sediments (Belgian part of North Sea, 2007-2012) (Kustportaal:pakssediment_30_tot)

Polycyclic 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)

Paleogeografische reconstructie 3500 jaar geleden (HistorischeKaarten:paleo3500)

Map made by De Clercq, Maikel (RCMG, Ugent) in the ° century. More information through the metadata and on the website of HisGISKust.

Paleogeografische reconstructie 7500 jaar geleden (HistorischeKaarten:paleo7500)

Map made by De Clercq, Maikel (RCMG, Ugent) in the ° century. More information through the metadata and on the website of HisGISKust.

Paleogeografische reconstructie vroege middeleeuwen (HistorischeKaarten:paleomid)

Map made by De Clercq, Maikel (RCMG, Ugent) in the ° century. More information through the metadata and on the website of HisGISKust.

Photosynthetically available radiation (mean) [Einstein/m²/day] (Bio-Oracle:parmean)

Photosynthetically Available Radiation (PAR) indicates the quantum energy flux from the Sun (in the spectral range 400-700 nm) reaching the ocean surface. Derivation of metric: Mean Period: 1997-2009 Units: Einstein/m²/day Primary type: Satellite (SeaWIFS), monthly climatologies Spatial resolution: 5 arcmin (9.2 km) Reference: (Feldman & McClain 2010) URL: http://oceancolor.gsfc.nasa.gov/

Patagonia (WoRMS:patagonia)

PCB concentrations in biota (Belgian part of North Sea, 2002-2016) (Kustportaal:pcsbiota_27)

Polychlorinated biphenyl (PCB) concentrations in biota at fixed sampling points at Knokke, Ostend and Nieuwpoort. Source: ILVO

Phosphate [µmol/l] (Bio-Oracle:phosphate)

Reactive ortho-phosphate concentration [HPO4^-2] in the ocean. Manipulation: DIVA interpolation Period: 1922-1986 Units: µmol/l Primary type: in situ measurement Spatial resolution: World Ocean Database (2009) Reference: (Boyer et al. 2009) URL: http://www.nodc.noaa.gov/

points (WoRMS:points)

Precautionary area 'At Gootebank' (IMO, Belgian part of North Sea, 2017) (Kustportaal:precarea_gootebank)

Precautionary area 'At Gootebank'. IMO (2017) IMO (2017). IMO (2017)

Precautionary area 'In the vicinity of Thornton and Blighbank' (IMO, Belgian part of North Sea, 2017) (Kustportaal:precarea_thornton)

Precautionary 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 2012

Number of private households (Belgian coastal area, 2010-2022) (Kustportaal:privatehuish_39)

The 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.be

Diepteprofielen Zeeschelde 2011 (Scheldemonitor:profielen_2011)

Diepteprofiellijnen Zeeschelde 2008-2009 (Scheldemonitor:profiellijnen_20082009)

Ramsar site boundaries (World:ramsar)

Ratio NO3/PO4 (European North West Shelf, January 1993) (Europe:ratio_1993-01-16)

Source data: - https://data.marine.copernicus.eu/product/NWSHELF_MULTIYEAR_BGC_004_011/description

EMODnet Ratio of large to small copepods masked with relative error 0.3 (North Atlantic, 1958-2016) (Emodnetbio:ratio_large_to_small_19582016_L1_err)

Gridded map of the large to small copepods ratio. This product was developed with DIVA (Data-Interpolating Variational Analysis). Data was provided by SAHFOS (Continuous Plankton Recorder) for use as an ICES operational oceanographic product.

MSP 2020-2026: Commercial and industrial areas (zone B, Belgian part of North Sea, 2020) (MSP_BPNS:rd20190522_art23_1_zoneb)

Source: marineatlas.be

MSP 2020-2026: Commercial and industrial areas (zone D, Belgian part of North Sea, 2020) (MSP_BPNS:rd20190522_art23_1_zoned)

Source: marineatlas.be

MSP 2020-2026: Area for renewable energy (windfarms, east zone, Belgian part of North Sea, 2019) (MSP_BPNS:rd20190522_art8_1_zone1)

MSP 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.

MSP 2020-2026: Area for renewable energy (windfarms, Noordhinder south, Belgian part of North Sea, 2019) (MSP_BPNS:rd20190522_art8_3_zone3)

MSP 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.

Marine Ecoregions of the World - realms (Ecoregions:realm)

rechttrekkingen (Scheldemonitor:rechttrekkingen)

Average Chlorophyll a content in winter (January-March 2013-2017, Belgian part of North Sea) (Kustportaal:remsem_Chl_jan_mar_1317)

Distribution of the average chlorophyl-a values in the Belgian part of the North Sea, measured during winter (January - March) from 2013 until 2017.

Average Chlorophyll a content in fall (October-December 2013-2017, Belgian part of North Sea) (Kustportaal:remsem_Chl_oct_dec_1317)

Distribution of the average chlorophyl-a values in the Belgian part of the North Sea, measured during autumn (October - December) from 2013 until 2017.

Average SPM concentration in winter (January-March 2013-2017, Belgian part of North Sea) (Kustportaal:remsem_SPM_jan_mar_1317)

Distribution of the average amount of suspended matter in the Belgian part of the North Sea, measured during winter (january - march) from 2013 until 2017.

Average SPM concentration in fall (October-December 2013-2017, Belgian part of North Sea) (Kustportaal:remsem_SPM_oct_dec_1317)

Distribution of the average amount of suspended matter in the Belgian part of the North Sea, measured during autumn (october - december) from 2013 until 2017.

Oostende research tower (Belgian part of North Sea, 2019) (Kustportaal:researchtower)

Ostend 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.

Al Hoceima road network (Morocco:roads)

Roads Al Hoceima CASE - PEGASOproject

Watervogeltellingen Westerscheldemonding (Scheldemonitor:rwswvtel_vd)

Total traverse copepods (< 2 mm) 1958-2006 (Emodnet:sahfos_deliverable2)

Annual mean abundance Diatoms 1958-2006 (Emodnet:sahfos_diatoms)

Dataproduct 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.

Time-series of 4 HAB taxa from 1958-2009 (Emodnet:sahfos_hab_timeseries)

Dataproduct 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).

Districts of the SAIL region (SAIL:sailalldistricts)

Region of the SAIL area (SAIL:sailregions)

Salinity [PSS] (Bio-Oracle:salinity)

Salinity indicates the dissolved salt content in the ocean. Manipulation: DIVA interpolation Period: 1961-2009 Units: PSS Primary type: in situ measurement Spatial resolution: World Ocean Database (2009) Reference: (Boyer et al. 2009) URL: http://www.nodc.noaa.gov/

Lijst Scheepswrakken 2015 (NorthSea:scheepswrakken_20150922)

Location 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.

Distance from Vlissingen as raster (Scheldemonitor:schelde_distvlissingen_width4km)

Provide parameters for the distance to vlissingen: * distance_km: distance * scheldezone_id: One of the defined IDs Negative numbers mean no data is avalable, as you are too far from the Schelde

Sandbanks and shoals (Scheldt, 2003) (Scheldemonitor:scheldtbanks)

Sandbanks and shoals in the Western Scheldt and Lower Sea Scheldt

Gullies (Western Scheldt, 2003) (Scheldemonitor:scheldtswales)

Gullies in the Western Scheldt.

Lands of Sweden (Europe:se_landsdelar)

Europe Level 1 Provinces were grouped to create the three Swedish districts.

Seagrass Data - points (MarineHeritage:seagrass_pnt)

Seagrass Data supplied by UNEP World Conservation Monitoring Centre (UNEP-WCMC)

Seamounts (MarineHeritage:seamounts)

http://seamounts.sdsc.edu/

SeaVoX - Sea Areas Polygons (v17, 2019) (MarineRegions:seavox_v17)

SeaVoX 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/"

SeaVoX - Sea Areas Polygons (v19, 2023) (MarineRegions:seavox_v19)

SeaVoX 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/10.14284/590

Seismic survey (Paardenmarkt, 2017) (Paardenmarkt:seismicprofiles_2017)

Network of seismic profiles, central dumpsite (2017). 2D data, parametric echosounder. Data acquisition by UGhent/RCMG.

Seismic survey (Paardenmarkt, 1997) (Paardenmarkt:seismoelectricprofiles_1997)

Network of seismic profiles (1997).  2D data, Seistec boomer, 30 lines.  Data acquisition by UGhent/RCMG.

Separation zone TSS North Hinder South (IMO, Belgian part of North Sea, 2017) (Kustportaal:sep_northhindersouth)

Separation zone TSS North Hinder South. IMO (2017)

Separation zone TSS At Westhinder (IMO, Belgian part of North Sea, 2017) (Kustportaal:sep_westhinder)

Anomaly average vessel density (all vessel types, Belgian part of North Sea & Western Scheldt, February-April 2019-2020) (Kustportaal:shippinganomaly_all_20192020_febapr)

Anomaly average vessel density for all vessel types for the Belgian part of the North Sea and the Western Scheldt for the period February-April 2019 compared to the period February-April 2020 (unit: number of routes per square km per month). Positive values indicate an increase in marine traffic for the period February-April 2020, negative values indicate a decrease in marine traffic for the period February-April 2020. Source data: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ More information: https://vlizbe.github.io/Vessel_route_densities/

Anomaly average vessel density (fishing, Belgian part of North Sea & Western Scheldt, February-April 2019-2020) (Kustportaal:shippinganomaly_fishing_20192020_febapr)

Anomaly average vessel density for fishing vessels for the Belgian part of the North Sea and the Western Scheldt for the period February-April 2019 compared to the period February-April 2020 (unit: number of routes per square km per month). Positive values indicate an increase in marine traffic for the period February-April 2020, negative values indicate a decrease in marine traffic for the period February-April 2020. Source data: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ More information: https://vlizbe.github.io/Vessel_route_densities/

Anomaly vessel density (passenger, Belgian part of North Sea & Western Scheldt, April 2019-2020) (Kustportaal:shippinganomaly_passenger_20192020_apr)

Anomaly vessel density for passenger vessels for the Belgian part of the North Sea and the Western Scheldt for the period April 2019 compared to the period April 2020 (unit: number of routes per square km per month). Positive values indicate an increase in marine traffic for the period April 2020, negative values indicate a decrease in marine traffic for the period April 2020. Source data: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ More information: https://vlizbe.github.io/Vessel_route_densities/

Average vessel density (all vessel types, Belgian part of North Sea & Western Scheldt, February-April 2019) (Kustportaal:shippingdensity_all_2019_febapr)

Average vessel density for all vessel types for the Belgian part of the North Sea and the Western Scheldt for the period April-February 2019 (unit: number of routes per square km per month). Source data: https://www.emodnet-humanactivities.eu/search-results.php?dataname=Vessel+Density+ More information: https://vlizbe.github.io/Vessel_route_densities/

Nationally defined shipping routes to harbours (Belgian part of North Sea, 2018) (Kustportaal:shippingroutes)

In 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.

Side-scan sonar of sampling points (Paardenmarkt, 2013) (Paardenmarkt:sidescansconar_2013)

Side-scan sonar maps of 10 sampling locations  (2013). Data acquisition by Magelas.

Sigma areas (Flanders, 2016) (Scheldemonitor:sigmaplan_20160406)

The 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.

TBD - Gemeenten (selectie) (Scheldemonitor:sm_gemeenten)

Special Protection Area for birds zone 3 (NorthSea:spa3_bcp)

Capa de los Municipios españoles (Europe:spain_municipios_spain)

http://www.arcgis.com/home/item.html?id=2e47bb12686d4b4b9d4c179c75d4eb78

Sea surface temperature (mean) [Celsius] (Bio-Oracle:sstmean)

Sea surface temperature is the temperature of the water at the ocean surface. This parameter indicates the temperature of the topmost meter of the ocean water column. Derivation of metric: Mean Period: 2002-2009 Units: Celsius Primary type: Satellite (Aqua-MODIS), monthly climatologies Spatial resolution: 5 arcmin (9.2 km) Reference: (Feldman & McClain 2010) URL: http://oceancolor.gsfc.nasa.gov/

Sea surface temperature (range) [Celsius] (Bio-Oracle:sstrange)

Sea surface temperature is the temperature of the water at the ocean surface. This parameter indicates the temperature of the topmost meter of the ocean water column. Derivation of metric: Range Period: 2002-2009 Units: Celsius Primary type: Satellite (Aqua-MODIS), monthly climatologies Spatial resolution: 5 arcmin (9.2 km) Reference: (Feldman & McClain 2010) URL: http://oceancolor.gsfc.nasa.gov/

ETN - Active (deployment) network grouped by project (ETN:stations_projects_ETN)

Annual net sediment transport capacity in m³/year/m (Scheldt estuary, 2011) (Scheldemonitor:stc_run2011_Netto_NatNeigh_5m_clip)

Annual net sediment transport capacity in m³/year/m Volume includes sediment porosity (default 0.4)

Annual net sediment transport capacity in m³/year/m (Scheldt estuary, 2013) (Scheldemonitor:stc_run2013_Netto_NatNeigh_5m_clip)

Annual net sediment transport capacity in m³/year/m Volume includes sediment porosity (default 0.4)

Annual net sediment transport capacity in m³/year/m (Scheldt estuary, 2016) (Scheldemonitor:stc_run2016_Netto_NatNeigh_5m_clip)

Annual net sediment transport capacity in m³/year/m Volume includes sediment porosity (default 0.4)

Annual net sediment transport capacity in m³/year/m (Scheldt estuary, 2019) (Scheldemonitor:stc_run2019_Netto_NatNeigh_5m_clip)

Annual net sediment transport capacity in m³/year/m Volume includes sediment porosity (default 0.4)

Quantities of dredged material dumped per dumping site (Belgian part of North Sea, 2007-2015) (Kustportaal:stortintensiteit_02)

Quantities 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.

Stroomletters (NorthSea:stroomletters)

Swales of the Southern Bight of the North Sea (NorthSea:swales)

Telecommunication cables (active, Belgian part of North Sea, 2018) (Kustportaal:telecom_ingebr)

The location of the active telecommunication cables on the Belgian continental shelf.

EMODnet Relative abundance Temora longicornis masked with relative error 0.3 (North Atlantic, 1958-2016) (Emodnetbio:tem_lon_19582016_L1_err)

Gridded abundance map of Temora longicornis. This product was developed with DIVA (Data-Interpolating Variational Analysis). Data was provided by SAHFOS (Continuous Plankton Recorder) for use as an ICES operational oceanographic product.

Amplitude of Tidal Reduction on BCS (NorthSea:tidalredstrl)

Average time differences between high tide in Antwerp and Vlissingen (Western Scheldt, 2009) (Scheldemonitor:tijdsverschilhw)

The 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.

Terrestrial ecoregions (TNC) (World:tnc_terr_eco_realms)

Developed 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.

Direct added value per seaport (Belgium, 2011-2017) (Kustportaal:toegevwaarde_11)

The 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.

EMODnet Relative abundance small copepods masked with relative error 0.3 (North Atlantic, 1958-2016) (Emodnetbio:tot_sma_19582016_L1_err)

Gridded map of the relative abundance of small copepods. This product was developed with DIVA (Data-Interpolating Variational Analysis). Data was provided by SAHFOS (Continuous Plankton Recorder) for use as an ICES operational oceanographic product.

Shipping route Off Northhinder (IMO, Belgian part of North Sea, 2017) (Kustportaal:tss_offnorthhinder)

Shipping route Off Northhinder. IMO (2017)

Coordinates of wind turbines built in windmill concession area C-POWER (phase 1) (NorthSea:turbines_phase1)

Bathymetric Position Index (zones) : large scale slopes, crests, flats and depressions on the Belgian continental shelf (UG_RCMG_BPI_z) (BWZee:ug_rcmg_bpi_z)

Large 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.

Silt-clay percentage on the Belgian continental shelf (UG_RCMG_sicl) (BWZee:ug_rcmg_sicl)

Silt-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.

Al Hoceima urban roads (Morocco:urbain_roads)

Urbain Roads; Al Hoceima CASE - PEGASOproject

USA States (2015, ESRI) (World:usa_states)

http://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)

Holiday parks (Flanders, 2018) (Kustportaal:vakantieparken_20180828)

Information about the holiday parks in Flanders. Adapted version 2 as a result of the new Accommodation Decree.

Value@Sea mariculture project (Belgian part of North Sea, 2017-2019) (Kustportaal:valueatsea)

Value@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.

Vegetation map (Saeftinghe, 1957) (Scheldemonitor:vegetatie_1957_saeftinghe)

Vegetation map (planes) of Western Scheldt - Verdronken Land van Saeftinghe 1957 based on fieldwork and aerial photographs.

Vegetation map (Saeftinghe, 1979) (Scheldemonitor:vegetatie_1979_saeftinghe)

Vegetation map (planes) Westerschelde - Verdronken Land van Saeftinghe 1971 based on aerial photographs and fieldwork.

Vegetation map (Western Scheldt, 1982) (Scheldemonitor:vegetatie_1982_merged)

Vegetation 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.

Vegetation map (Saeftinghe, 1992) (Scheldemonitor:vegetatie_1992_saeftinghe)

Vegetation map (planes) of the Western Scheldt - Verdronken Land van Saeftinghe 1992 based on aerial photographs and fieldwork.

Vegetation map (Sieperda, Zwin & Zwin Polder, 1995) (Scheldemonitor:vegetatie_1995_merged)

This 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).

Vegetation map (Sea Scheldt, 1992) (Scheldemonitor:vegetatiekaart1992_v2017)

The 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.

Vegetation map (Sea Scheldt, 2003) (Scheldemonitor:vegetatiekaart2003)

The 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.

Vegetation map (Lower Sea Scheldt, 2013) (Scheldemonitor:vegetatiekaart2013)

The 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.

Vegetation map (Zenne, Nete, Dijle, 2013) (Scheldemonitor:vegetatiekaart2013_zenedij)

The 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.

Vegetation coverage per species in % (Sea Scheldt, 1995-2007) (Scheldemonitor:vegetatieopnames_pq)

In 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.

Share of persons with supplemented refunds (Belgian coastal area, 2017) (Kustportaal:verhoogdetegemoetk_35)

The proportion of citizens (%) of the municipality who receive additional financial assistance. Source: Statistiek Vlaanderen

Bathymetrie Beneden-Zeeschelde, dieptecontouren (MDK) (Scheldemonitor:vh_dieptecontouren)

Land area (Sea Scheldt, unknown) (Scheldemonitor:vh_landgebied)

The demarcation of the land area around the Sea Scheldt. The information is used by the Flemish Hydrography in the ECS for the Scheldt pilots.

(Historical) fishing areas of Belgian sea fisheries (Visgronden:visgronden)

The 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.

Vogeltellingen Zeeschelde en zijrivieren (Scheldemonitor:vogeltellingen19792010)

w_marinehabitatd (SAIL:w_marinehabitatd)

Water bodies (ESRI, Belgium & the Netherlands, 2004) (Scheldemonitor:water2)

Basic map of the Belgian and Dutch water areas based on ESRI European Water bodies. The map includes rivers, lakes and other water bodies.

Coastal water sports clubs (Belgian coast, 2019) (Kustportaal:watersportclubs_32)

Overview of the location of water sport clubs and yacht clubs along the Belgian coast.

Winterwatervogel data (Zeeschelde) (Scheldemonitor:watervogeltelgeb_winter)

Werkgebied Thorntonbank (NorthSea:werkgebied_thornton)

Employment rate (Belgian coastal area, 2003-2019) (Kustportaal:werkzaamheid_19)

Evolution of the employment and unemployment rate in the coastal and hinterland municipalities. Source: WSE Support Centre, Processing: Department of DSA POM West Flanders

Bathymetry (unit: m/reference plane: LAT, Western Scheldt, 2018) (Scheldemonitor:wes_bth_lat_mt_2018_1m1)

Bathymetric grid of the Westerschelde (mouth - Belgian border). Depths have positive values, heights negative. The resolution of the grid is 1 meter. The reference plane is LAT.

Shipping route Westpit (IMO, Belgian part of North Sea, 2017) (Kustportaal:westpitshippingroute)

Shipping route Westpit. IMO (2017)

Quarters in the Netherlands (Scheldemonitor:wijk2008)

Isobaths - Western Indian Ocean (MarineHeritage:wio_contours)

Nobelwind turbines (NorthSea:wmp_nobelwind)

Rentel turbines (NorthSea:wmp_rentel)

World Bays, Gulfs, Lagoons, Inlets, Coves, Fjords, Creeks, .... (MarineRegions:world_bay_gulf)

World Estuaries and deltas (MarineRegions:world_estuary_delta)

World Quadrants (20150805) (World:world_quadrants_20150805)

World cities (World:worldcities)

World countries (2008) (World:worldcountries)

World Gazetteer (World:worldgazetteer)

World 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.

UNESCO World Heritage Marine Sites (v02, 2023) (MarineRegions:worldheritagemarineprogramme)

This 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/10.14284/592

World Lakes (World:worldlakes)

World Lakes represents the major lakes and inland seas within the world.

World rivers (World:worldrivers)

Broedvogeltellingen Westerschelde en Voordelta (Scheldemonitor:wsbrv2010)

Soundings (unit: m/reference plane: NAP, Western Scheldt, 2010) (Scheldemonitor:wsch10lo20)

Soundings of lower-lying areas in the Western Scheldt. (unit: m/reference plane: NAP)

Soundings (unit: m/reference plane: NAP, Western Scheldt, 2011) (Scheldemonitor:wsch11lo20)

Soundings of lower-lying areas in the Western Scheldt. (unit: m/reference plane: NAP)

Elevation map (unit: m/reference plane: NAP, Western Scheldt, 2013) (Scheldemonitor:wsch13TTGD20)

Elevation map of the Western Scheldt, containing both the sand banks, shoals and river depths. (unit: m/reference plane: NAP)

Elevation map (unit: m/reference plane: NAP, Western Scheldt, 2014) (Scheldemonitor:wsch14TTGD20)

Elevation map of the Western Scheldt, containing both the sand banks, shoals and river depths. (unit: m/reference plane: NAP)

Elevation map (unit: m/reference plane: NAP, Western Scheldt, 2015) (Scheldemonitor:wsch15TTGD20)

Elevation map of the Western Scheldt, containing both the sand banks, shoals and river depths. (unit: m/reference plane: NAP)

Height sandbanks and shoals (unit: m/reference plane: NAP, Western Scheldt, 2010) (Scheldemonitor:wschelde_2010)

Height sandbanks and shoals (unit: m/reference plane: NAP, Western Scheldt, 2012) (Scheldemonitor:wschelde_2012)

Height sandbanks and shoals (unit: m/reference plane: NAP, Western Scheldt, 2014) (Scheldemonitor:wschelde_2014)

Count of coastal breeding birds Westerschelde (Scheldemonitor:wskbr)

Information on accommodation facilities - B&B's (West-Flanders, 2016) (Belgium:wt_logies_20160729)

This 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.

z_nbwet (SAIL:z_nbwet)

Monitoring zones sand extraction (Belgian part of North Sea) (Kustportaal:zand_monitoring)

Main 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 Service

Zeehondentellingen provincie Zeeland 2006-2010 (Scheldemonitor:zeehonden20062010)

Count of seals in the province Zeeland (NL) (Scheldemonitor:zeehondentellingen_zeeland)

Number of seagoing vessels per seaport (Belgium, 1980-2020) (Kustportaal:zeeschepen_05)

The 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.

Zonering zoutgehalte (WS) (Scheldemonitor:zonering)

Bathing quality in Europe (Scheldemonitor:zwemwaterkwaliteit)