AndreaBozzo/ceres-open-data-index huggingface dataset:
Quantities of dredged material dumped per dumping site (Belgian part of North Sea, 2007-2015)

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.
Anomaly vessel density (other, Belgian part of North Sea & Western Scheldt, April 2019-2020)

Anomaly vessel density for vessels categorized as 'Other' 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/
Anomaly vessel density (passenger, Belgian part of North Sea & Western Scheldt, April 2019-2020)

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/
Anomaly average vessel density (cargo, Belgian part of North Sea & Western Scheldt, February-April 2019-2020)

Anomaly average vessel density for cargo 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 (tanker, Belgian part of North Sea & Western Scheldt, February-April 2019-2020)

Anomaly average vessel density for tankers 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)

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

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/
Number of private households (Belgian coastal area, 2010-2022)

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

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
Chlorophyll a (Belgian part of North Sea, 2014-2017)

Pigment analysis is performed for each of the 9 monthly and 8 seasonal LifeWatch stations. Water is sampled with Niskin bottles at 3 meters depth and filtered directly. The Ghent University Protistology & Aquatic Ecology research group (PAE) then applies High Pressure Liquid Chromatography (HPLC) to determine pigment composition.
Total gross tonnage of seagoing vessels per seaport (Belgium, 1980-2020)

Total gross tonnage of the seagoing vessels per Flemish sea port.

Source: Merckx, J.P. (2020). Zeehavens en luchthavens in Vlaanderen. Feiten, statistieken en indicatoren voor 2019. Mobiliteitsraad van Vlaanderen: Brussel. 195 pp.
Footprints bathymetric surveys VLIZ (Belgian part of North Sea, 2012-2022)

This layer contains the footprints of bathymetric surveys performed by VLIZ in the period 2012-2022 in the Belgian part of the North Sea. The bathymetric data gathered during these surveys is available for download in the Marine Data Archive (mda.vliz.be). For more information on the data acquisition, contact infrastructuur@vliz.be. For access to MDA, contact data@vliz.be.
Footprints bathymetric surveys wrecks VLIZ (Belgian part of North Sea, 2012-2018)

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.
Scheldt basin (Scheldt, 2009)

The basin of the Scheldt has an area of 21,860 km2 and is bordered by the North Sea, by a number of coastal basins north of the Seine and the Meuse and IJzer basin. The natural boundary of the basin on land is created by the topography of the area: the differences in elevation of the soil determine how and to which basin the water runs off and give it the boundary of the basin
Topo-bathymetry (unit: m/reference plane: NAP, Western Scheldt, 2014)

Compound ground grid Western Scheldt 2014. Total grid of height and 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.
Depth profiles (Sea Scheldt, 2015)

In the Sea Scheldt and tributaries the profiles of 28 mud flat and salt marsh zones are measured annually on lines perpendicular to the shore. For each profile detailed measurements are made with sedimentation erosion plots as well (reference pole with 16 measurements around it) to statistically detect changes to profiles too. The measurements take place from the toe of the dyke to the low water line. While being measured the profiles are described on morphodynamic features and documented on fixed points with photographs. Granulometry is also determined for microdynamics on those lines.
Topo-bathymetry (unit: m/reference plane: NAP, Western Scheldt, 2013)

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.
Topo-bathymetry (unit: m/reference plane: NAP, Western Scheldt, 2012)

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.
Physiotopic map (Sea Scheldt, 2010)

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)

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.
Physiotopic map (Sea Scheldt, 2011)

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.
Ecotope map (Sea Scheldt, Rupel & Durme, 2016)

These maps were constructed based on the descriptions given in Van Braeckel et al. (2012), as well as earlier MONEOS reports. The ecotope map the result of the merger of two separate layers, being an fysiotopic and a geomorphologic layer. The maps of the lower Sea Scheldt, upper Sea Scheldt, Rupel and Durme were actualised in 2016. The geomorphologic layer is a polygon map that was actualized in 2016 using ARCGIS, based on 'false colour' imagery from the lower Sea Scheldt (source: nv De Vlaamse Waterweg) and 'true colour' orthoimagery from the upper Sea Scheldt, Rupel and Durme. Because the time at which the images were collected does not precisely match low tide, interpretation of the substrate in low lying areas has also been done based on 'true colour' orthoimagery from march 2017 (source: GDI-Vlaanderen AGIV), as well as field observations and digital height models.
Global Oceans and Seas (v1)

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).
The intersect of the Exclusive Economic Zones and IHO areas (v5)

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.
ICES Ecoregions (2015)

Delineation of the ICES Ecoregions was originally described in ICES Advice ACFM/ACE report(2004).

In the present updated version, the delineation has been updated to account for additional policy objectives and reconciling of legislation (eg the MSFD and the EU water and habitats directives)

The differences are based on the four principles:
1. Within the EU accept the MSFD regional and sub-regional definitions.
2. Separate Icelandic Seas from those around Greenland.
3. Use Large Marine Ecosystem units to define the Arctic Ocean.
4. Use the accepted Norwegian regional management plans definitions of the Norwegian and Barents Seas.

The Ecoregions were proposed to assist the implementation of the ecosystem approach in European waters
SeaVoX - Sea Areas Polygons (v18, 2021)

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,BRISTOL CHANNEL,CELTIC SEA,CORAL SEA,ENGLISH CHANNEL,GULF OF MAINE,INNER SEAS OFF THE WEST COAST OF SCOTLAND,IRISH SEA,JAPAN SEA,NORTH SEA,TASMAN SEA,YELLOW SEA 
Attribute: LEVEL_4: CARDIGAN BAY,DOVER STRAIT,FIRTH OF CLYDE,LIVERPOOL BAY,NORTH CHANNEL,POOLE BAY,SOLENT,SOLWAY FIRTH 
Attribute: SUB_REGION: This is the lowest level in the structure. 
This version of the shapefile corresponds to version 18 of the SeaVoX Salt and Fresh Water Body Gazetteer. This version includes the following updates: addition of 1 new level 3 area (Gulf of Maine) and 1 new sub-region (Gulf of Maine)
Credits
Polygon data set of the extent of water bodies from the SeaVoX Salt and Fresh Water Body Gazetteer, http://vocab.nerc.ac.uk/collection/C19/current/
Use limitations
The source of the data set should be attributed as: "polygon data set of the extent of water bodies from the SeaVoX Salt and Fresh Water Body Gazetteer, http://vocab.nerc.ac.uk/collection/C19/current/"
land_v9 (coastline for Maritime Boundaries v9, without attribute information)

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
Offshore mineral rights areas Norway

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.
Offshore mineral rights areas United Kingdom

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.
The 66 Large Marine Ecosystems of the World

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)

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.
Italian marine biogeographic sector (Bianchi, 2004)

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.