https://publish.geo.be/geonetwork/Q9wwk52P/api/records/
type: PagedCollection
type: PartialCollectionView
last page: https://publish.geo.be/geonetwork/Q9wwk52P/api/records/
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geo.be Metadata Catalog
type: Catalog
label: geo.be Metadata Catalog (National Geographic Institute)
open search description: eng/portal.opensearch
uri lookup endpoint: eng/rdf.search?any=
publisher: National Geographic Institute
themes: Data.gov.be themes
themes: GEMET
themes: INSPIRE glossary
themes: Belgian Federal Thesaurus
themes: Classification of spatial data services
themes: Spatial scope
themes: INSPIRE media-types register
themes: GEMET - INSPIRE themes, version 1.0
themes: Continents, countries, sea regions of the world.
themes: INSPIRE priority data set
themes: INSPIRE layer register
themes: INSPIRE feature concept dictionary
language: eng
dataset: wideumont hail
record: RMI DATASET WIDEUMONT HAIL
dataset: bmdc.be:dataset:2032
record: bmdc.be:dataset:2032
dataset: commune forecast 12h
record: RMI DATASET COMMUNE FORECAST 12H
dataset: bmdc.be:dataset:3060
record: bmdc.be:dataset:3060
dataset: National Geographic Institute
dataset: Data.gov.be themes
dataset: GEMET
dataset: INSPIRE glossary
dataset: Belgian Federal Thesaurus
dataset: Classification of spatial data services
dataset: Spatial scope
dataset: INSPIRE media-types register
dataset: GEMET - INSPIRE themes, version 1.0
dataset: Continents, countries, sea regions of the world.
dataset: INSPIRE priority data set
dataset: INSPIRE layer register
dataset: INSPIRE feature concept dictionary
dataset: RMI DATASET WIDEUMONT HAIL
dataset: Risk of hail - Wideumont weather radar
dataset: Adverse effects of significant pollution events on species and habitats dataset in support of the Marine Strategy Framework Directive (MSFD) Descriptor 8 (D08C04, 2018 Reporting)
dataset: RMI DATASET COMMUNE FORECAST 12H
dataset: Daily commune forecasts
dataset: Seasonal physiological and carbon‑related measurements of suspension feeders (Mytilus edulis and Balanus crenatus) from laboratory experiments in the Belgian marine environment
dataset: Atmospheric conditions
dataset: WWW:LINK-1.0-http--link-
dataset: Digital Object Identifier (DOI)
dataset: WWW:DOWNLOAD-1.0-http--download-
dataset: OGC:WMS-
dataset: Federal download service
dataset: ATOM-
dataset: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/ngi-standard-open/Specifications/Vectordata/Top10Vector ProductSpecification EN.pdf
dataset: precipitationindices-2085
dataset: OGC:WMTS-
dataset: WWW:LINK-1.0-http--link-https://ngi.be/aanbod/kaarten-en-fotos/luchtfotos-orthofotos/
dataset: Royal Meteorological Institute of Belgium
dataset: Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
dataset: Instituut voor Landbouw- en Visserijonderzoek - Visserij (ILVO)
dataset: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature)
dataset: Royal Belgian Institute of Natural Sciences (RBINS)
dataset: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Management Unit of the North Sea Mathematical Models (MUMM)
dataset: Marinecomponent / Composante marine / Belgian Navy
dataset: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
dataset: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Ecosystems Physico-Chemistry (ECOCHEM)
dataset: Walloon Institute for Evaluation, Foresight and Statistics
dataset: Belgian Climate Centre
dataset: BE.NGI-IGN
dataset: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), GeoCell
dataset: http://localhost:8080/geonetwork/srv/resources/persons/d175850265e19650

National Geographic Institute
type: Organization

Data.gov.be themes
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

GEMET
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE glossary
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Belgian Federal Thesaurus
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Classification of spatial data services
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Spatial scope
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download?ref=external.theme.httpinspireeceuropaeumetadatacodelistSpatialScope-SpatialScope (2)

INSPIRE media-types register
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

GEMET - INSPIRE themes, version 1.0
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Continents, countries, sea regions of the world.
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Continents, countries, sea regions of the world.
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE priority data set
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE layer register
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

INSPIRE feature concept dictionary
type: ConceptScheme
uri: https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download

Risk of hail - Wideumont weather radar
type: Dataset
abstract: Hail products are derived from the observed vertical profiles of radar reflectivity and the NWP vertical profiles of temperature. Three types of products are generated. poh : probability of hail of any size (larger than 0.5 cm diameter)expressed in %. posh : probability of severe hail(larger than 2cm)expressed in %. mesh : maximum expected size of hailexpressed in mm of hailstone diameter. All products are generated every 5 minutes. This product is not publically available yet.
keyword: federal government
keyword: hail
keyword: observation
theme: Atmospheric conditions
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.0103 47.6612, 2.0103 52.1658, 8.9985 52.1658, 8.9985 47.6612, 2.0103 47.6612))
temporal: 2016-04-01T00:00:00 /
updated: 2025-10-07
publisher: Royal Meteorological Institute of Belgium
accrual periodicity: continual
language: eng
license: No limitations on public access
license: Creative Commons Attribution 4.0 International (CC BY 4.0) This is a human-readable summary of (and not a substitute for) the license. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
distribution: WWW:LINK-1.0-http--link-
data quality: Hail detection module is an implementation of two hail detection algorithms: of Witt and of Waldvogel (Waldvogelet al., 1979). The module takes radar observations and temperature information and estimates probability of hail (POH, %), probability of severe hail (POSH, %) and maximum expected size of hail (MESH, mm). The implementation of the Waldvogel algorithm is based on the Holleman's equation (I. Holleman, 2001), which was verified for Belgium by Delobbe et al. (2003). The POH is derived in the algorithm from the presence of a substantial updraft detected above the freezing level (0º-isoterm). The implementation of the Witt algorithm is based on the weighted integration of the reflectivity values between the heights of 0º-isoterm and -20º-isotherm (Witt et al., 1998). This algorithm provides POSH and MESH estimates.

bmdc.be:dataset:2032
type: CatalogRecord
primary topic: bmdc.be:dataset:2032
conforms to: 32557.html
issued: 2026-04-10
modified: 2026-04-10

Adverse effects of significant pollution events on species and habitats dataset in support of the Marine Strategy Framework Directive (MSFD) Descriptor 8 (D08C04, 2018 Reporting)
type: Dataset
abstract: This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 8, criterion 4. This dataset contains measurements on the 7-Ethoxyresorufin-O-deethylase (EROD) activity in Limanda limanda, Imposex (organotin in Mytilus edulis), fish diseases and counts of oiled common guillemots in the Belgian part of the North Sea.
keyword: Federal government
keyword: Reporting INSPIRE
keyword: Oceanographic geographical features
theme: Oceanographic geographical features
theme: Commission Implementing Regulation (EU) 2023/138 of 21 December 2022 laying down a list of specific high-value datasets and the arrangements for their publication and re-use (Text with EEA relevance)
theme: Marine Strategy Framework Directive
theme: Belgian part of the North Sea
theme: Greater North Sea, incl. the Kattegat and the English Channel
theme: Directive 2008/56/EC
theme: National
theme: Oceanographic Geographical Features
theme: Health
theme: (Criteria) D8C4 - Adverse effect of significant acute pollution events
theme: oceans
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.24642 51.0941, 2.24642 51.83082, 3.36315 51.83082, 3.36315 51.0941, 2.24642 51.0941))
temporal: 2012-01-01 / 2016-12-31
issued: 2018-09-07
updated: 2021-12-08
publisher: Instituut voor Landbouw- en Visserijonderzoek - Visserij (ILVO)
publisher: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature)
publisher: Royal Belgian Institute of Natural Sciences (RBINS)
publisher: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Management Unit of the North Sea Mathematical Models (MUMM)
publisher: Marinecomponent / Composante marine / Belgian Navy
publisher: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
publisher: Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
publisher: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Ecosystems Physico-Chemistry (ECOCHEM)
language: eng
license: No conditions apply to access and use
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access.
distribution: Digital Object Identifier (DOI)
data quality: Data on EROD activity and tributyltin are gathered by ILVO, those on oiled Guillemots by INBO, and are presented to BMDC as excel files. The headers of the excel files are normalized and quality managed as Common-Layout files, and are awaiting import into IDOD.

https://publish.geo.be:/geonetwork/records/1e7084c0-e8c3-11ec-a3e2-186571a04de2
type: CatalogRecord
conforms to: 32557.html
issued: 2023-03-14
modified: 2023-03-14

Share of the cadastral land take - Wallonia
type: Dataset
abstract: Share of the cadastral surface area that is artificially developed in the cadastral surface area and not unknown to the administrative entity (region, province, district and municipality) for Wallonia
keyword: Interreg
keyword: TransStat
keyword: Cross-border
keyword: Land Use
keyword: Artificialization
keyword: Region
keyword: Province
keyword: District
keyword: Municipality
theme: Land use
theme: Population statistics
theme: Statistical Distribution
theme: land planning
theme: land occupation
theme: artificial land
theme: Regional
theme: society
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.80 49.49, 2.80 50.80, 6.41 50.80, 6.41 49.49, 2.80 49.49))
issued: 2022-09-07
updated: 2023-03-03
publisher: Walloon Institute for Evaluation, Foresight and Statistics
accrual periodicity: annually
language: fre
license: •The custodian of the resource holds the rights of property (including the rights of intellectual property) to the geographic files •The custodian grants the user the right to use the data for his internal use. •Commercial use of the data under any form is strictly forbidden •Custodian’s name must be mentioned each time the data are being used publically.
license: No limitations on public access
distribution: WWW:LINK-1.0-http--link-
distribution: WWW:DOWNLOAD-1.0-http--download-
data quality: The land use and land cover data used by IWEPS for Wallonia are taken from the Belgian Cadastre (SPF Finance). A cadastral parcel includes the buildings, annexes, outbuildings, accesses and gardens that are contiguous to it, provided that the whole forms an indivisible whole and is assigned to the same use (SPF Finance, 2014). For each cadastral parcel, the surface area and the cadastral nature are available. The latter corresponds to the main use of the parcel at the time of its last cadastral registration (e.g. house, farm, business, etc.). In 2008, a land use nomenclature was developed on the basis of a joint reflection by the standing conference on territorial development, the SPW Environment and the IWEPS. The cadastral natures were grouped into 16 land use categories. These 16 categories can be grouped together to distinguish between artificial and non-artificial land. This grouping of parcels is based on the work of the European CORINE Land Cover (CLC) project in order to facilitate comparisons with other European regions. The land registry data are not exhaustive. In 2021, 5.2% of Wallonia's territory is not registered and/or of unknown nature. The unregistered areas are part of the public space (roads, squares, railways, rivers and canals, etc.). These areas of unknown nature are not homogeneously distributed over the Walloon territory. The proportion of unknown areas varies from 2% (larger or rural municipalities) to over 20% (Liège and Visé). The Sambre-et-Meuse region accounts for a large proportion of this area.

https://publish.geo.be:/geonetwork/records/1f4296b0-76f6-4f1b-8880-315406b367e1
type: CatalogRecord
conforms to: 32557.html
issued: 2026-02-19
modified: 2026-02-19

Top10Vector – Constructions
type: Dataset
abstract: Top10Vector – Constructions is the vector dataset of constructions in Belgium. It includes seven classes. First class: brunnels. Second class: buildings. Third class: particular line constructions. Fourth class: particular polygonal constructions. Fifth class: particular point constructions. Sixth class: towers on buildings. Seventh class: additional polygon geometries. This dataset can be downloaded via the link in 'Access'.
keyword: HVD_cat_buildings
theme: Science and technology
theme: Land and natural area cover and use
theme: National
theme: Buildings
theme: federal government
theme: building
theme: tunnel
theme: engineering work
theme: bridge
theme: structure
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.52232 49.48926, 2.52232 51.50983, 6.42323 51.50983, 6.42323 49.48926, 2.52232 49.48926))
updated: 2026-01-23
publisher: National Geographic Institute
accrual periodicity: continual
granularity: 10000
language: dut
license: No limitations on public access
license: https://creativecommons.org/licenses/by/4.0/
distribution: OGC:WMS-
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: Federal download service
distribution: ATOM-
distribution: WWW:LINK-1.0-http--link-https://ac.ngi.be/remoteclient-open/ngi-standard-open/Specifications/Vectordata/Top10Vector ProductSpecification EN.pdf
data quality: The data have been collected in two different ways: on the one hand, by field survey, writing down the attribute data on mat-pale photographs, followed by the photogrammetric stereo restitution of the geometry in a CAD-file (with Lambert72 xyz-coordinates) and finally the topological cleaning up and the import of the attribute data in a 2D-database. On the other hand, by photogrammetric stereo restitution of the geometry in a CAD-file (with Lambert72 xyz-coordinates), followed by the import (on-site) of the attribute data in the CAD-files and finally the topological cleaning up in a 2D-database.During the dataloading into the new ITGI-model, the contents of the 2D-database have been mapped and converted into a database with Lambert2008-coordinates. The z-coordinate was recovered from the photogrammetric restitution's CAD-files or calculated on the basis of the DTM.

https://publish.geo.be:/geonetwork/records/350f1ade-ca79-11ee-bfb1-847b573ec00f
type: CatalogRecord
conforms to: 32557.html
issued: 2026-02-03
modified: 2026-02-03

Precipitation indices - 2085
type: Dataset
abstract: Annual and seasonal precipitation indices given in number of days: 1/ Wet days: Number of days with precipitation > 0.1 mm/day for winter, autumn, spring, summer; 2/ Dry days: Number of days with precipitation < 0.1 mm/day for winter, autumn, spring, summer; 3/ Average length of dry spells: Mean duration of minimum three consecutive days with precipitation < 0.1 mm/day; 4/ Maximum length of dry spells: Longest period of minimum three consecutive days with precipitation < 0.1 mm/day, occurring once in 20 years. The precipitation indices are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding respectively to the 50th, and 5th or 95th percentiles of the change factors.
keyword: climate projections,Belgium,Representative Concentration Pathway,high resolution
theme: Atmospheric conditions
theme: Environmental data
theme: Meteorology, weather and radiation conditions
theme: Environment
theme: Abstract Monitoring Object
theme: atmospheric model
theme: climatic change
theme: climate change impact
theme: National
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.54 49.49, 2.54 51.51, 6.41 51.51, 6.41 49.49, 2.54 49.49))
issued: 2021-03-15
updated: 2021-03-15
publisher: Belgian Climate Centre
accrual periodicity: asNeeded
language: eng
license: •The custodian of the resource holds the rights of property (including the rights of intellectual property) to the geographic files •The custodian grants the user the right to use the data for his internal use. •Commercial use of the data under any form is strictly forbidden •Custodian’s name must be mentioned each time the data are being used publically.
license: No limitations on public access
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: precipitationindices-2085
data quality: In the follow-up Belspo funded 'CICADA' project (2019-2021, https://www.belspo.be/belspo/brain-be/projects/FinalReports/CICADAbe_FinRep.pdf), these Belgian climate model projections were used to adjust the spread of climate change signals based on the larger model ensemble of all available CMIP5 Global Climate Model runs (https://pcmdi.llnl.gov/mips/cmip5/) and EURO-CORDEX Regional Climate Model runs (https://euro-cordex.net/060378/index.php.en). This multi-model ensemble of climate change signals or factors were used to apply a statistical downscaling or more specifically a quantile perturbation method on the observational climate grid from the Royal Meteorological Institute of Belgium. From those ensembles, 5th, 50th, and 95th percentiles of changes, corresponding to a mean (50th percentiles) and high (5th or 95th percentiles) impact scenario, were obtained for the variables: precipitation, temperature, relative humidity, wind speed, global solar radiation and potential evapotranspiration.

https://publish.geo.be:/geonetwork/records/9f1ccdf0-ca7a-11ee-8c7a-847b573ec00f
type: CatalogRecord
conforms to: 32557.html
issued: 2024-05-15
modified: 2024-05-15

Wind speed - 2085
type: Dataset
abstract: Summer and winter mean wind speed given in m/s. The wind speed fields are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding respectively to the 50th and 95th percentiles of the change factors.
keyword: climate projections,Belgium,Representative Concentration Pathway,high resolution
theme: Atmospheric conditions
theme: Meteorology, weather and radiation conditions
theme: Environmental data
theme: Environment
theme: Abstract Monitoring Object
theme: atmospheric model
theme: climatic change
theme: climate change impact
theme: National
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.54 49.49, 2.54 51.51, 6.41 51.51, 6.41 49.49, 2.54 49.49))
issued: 2021-03-15
updated: 2021-03-15
publisher: Belgian Climate Centre
accrual periodicity: asNeeded
language: eng
license: •The custodian of the resource holds the rights of property (including the rights of intellectual property) to the geographic files •The custodian grants the user the right to use the data for his internal use. •Commercial use of the data under any form is strictly forbidden •Custodian’s name must be mentioned each time the data are being used publically.
license: No limitations on public access
distribution: WWW:DOWNLOAD-1.0-http--download-
distribution: WWW:LINK-1.0-http--link-windspeed-2085
data quality: In the follow-up Belspo funded 'CICADA' project (2019-2021, https://www.belspo.be/belspo/brain-be/projects/FinalReports/CICADAbe_FinRep.pdf), these Belgian climate model projections were used to adjust the spread of climate change signals based on the larger model ensemble of all available CMIP5 Global Climate Model runs (https://pcmdi.llnl.gov/mips/cmip5/) and EURO-CORDEX Regional Climate Model runs (https://euro-cordex.net/060378/index.php.en). This multi-model ensemble of climate change signals or factors were used to apply a statistical downscaling or more specifically a quantile perturbation method on the observational climate grid from the Royal Meteorological Institute of Belgium. From those ensembles, 5th, 50th, and 95th percentiles of changes, corresponding to a mean (50th percentiles) and high (5th or 95th percentiles) impact scenario, were obtained for the variables: precipitation, temperature, relative humidity, wind speed, global solar radiation and potential evapotranspiration.

Daily commune forecasts
type: Dataset
abstract: Daily forecasts for each Belgian commune, from current day up to the next 14 days. Available parameters are : min temperature, max temperature, weather type, wind speed, wind direction, maximum hust speed, quantity of precipitation. This product is not publicly available.
keyword: federal government
keyword: forecast
keyword: nowcasting
keyword: temperature
keyword: wind
keyword: precipitation
keyword: rain
keyword: snow
keyword: dewpoint temperature
keyword: cloud cover
keyword: relative humidity
keyword: specific humidity
keyword: visibility
keyword: wind chill
theme: Atmospheric conditions
theme: National
theme: climatologyMeteorologyAtmosphere
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.44 49.43, 2.44 51.55, 6.60 51.55, 6.60 49.43, 2.44 49.43))
temporal: 2000-04-01T00:00:00 /
issued: 2000-04-01
publisher: Royal Meteorological Institute of Belgium
accrual periodicity: continual
language: eng
license: No limitations on public access
license: Creative Commons Attribution 4.0 International (CC BY 4.0) This is a human-readable summary of (and not a substitute for) the license. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
distribution: WWW:LINK-1.0-http--link-
data quality: RMI forecasters analyze all the available numeric models and choose those reflecting the situation in Belgium best. These model forecasts are then corrected by the forecasters themselves. Monthly statistics are generated to evaluate the quality of the model data and the accuracy of the corrections applied by the forecasters.

bmdc.be:dataset:3060
type: CatalogRecord
primary topic: bmdc.be:dataset:3060
conforms to: 32557.html
issued: 2026-04-09
modified: 2026-04-09

Seasonal physiological and carbon‑related measurements of suspension feeders (Mytilus edulis and Balanus crenatus) from laboratory experiments in the Belgian marine environment
type: Dataset
abstract: UNDER EMBARGO - This dataset contains seasonal physiological measurements from controlled laboratory experiments on two dominant suspension-feeding species expected to colonise floating offshore structures: the blue mussel (Mytilus edulis; AphiaID 140480) and the wrinkled barnacle (Balanus crenatus; AphiaID 106215). The measured parameters include clearance rates, respiration rates, faecal pellet production rates, and faecal pellet sinking velocities. Mussels were collected from an aquaculture longline at the Westdiep SeaFarm, while barnacles were manually retrieved from the intertidal beachhead at Raversijde (Oostende, Belgium). All experiments were conducted using natural seawater collected from offshore sites in the Belgian part of the North Sea. Measurements were repeated across multiple seasons to capture temporal variability in physiological performance. The dataset was produced within the SWiM and EcoMPV projects and is suitable for reuse in ecosystem and biogeochemical modelling, including simulations of phytoplankton dynamics associated with large-scale offshore marine photovoltaic (MPV) developments.
keyword: Reporting INSPIRE
keyword: Federal government
keyword: Suspension feeder
keyword: marine environment
keyword: Offshare floating structure
theme: dissolved organic carbon
theme: organic carbon
theme: Greater North Sea, incl. the Kattegat and the English Channel
theme: Belgian part of the North Sea
theme: marine monitoring
theme: marine environment
theme: Mytilus edulis
theme: Balanus crenatus
theme: oceans
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.636867 51.16951, 2.636867 51.20591, 2.84989 51.20591, 2.84989 51.16951, 2.636867 51.16951))
temporal: 2024-10-18 / 2025-09-10
issued: 2026-01-14
updated: 2026-01-15
publisher: Royal Belgian Institute of Natural Sciences (RBINS)
publisher: Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
language: eng
license: No conditions apply to access and use
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access.
distribution: Digital Object Identifier (DOI)
data quality: Physiological measurements were obtained from controlled laboratory incubations following standardised protocols. After an acclimation period, faecal pellets were collected using a vacuum-based siphoning system and subsequently used to determine sinking velocity in still-water columns by timing their descent over fixed distances. Pellet lengths were measured from microscope images analysed in ImageJ. Respiration rates were derived from changes in dissolved oxygen concentration, which were continuously monitored using calibrated Firesting optical oxygen sensors placed in stirred incubation chambers. Clearance rates were calculated from changes in particle concentration measured with a Coulter counter, and faecal pellet production was quantified from the dry mass and carbon content of pellets collected over known time intervals. All physiological rates were standardised to organism dry weight and carbon content, determined after drying soft tissues. Quality control procedures included calibration of sensors prior to measurements, the use of replicates and procedural controls, verification of calculation procedures, and the dataset underwent standard quality checks before harmonisation and archiving.

https://publish.geo.be:/geonetwork/records/380df80f-29fe-11f1-a136-20c19bc9b64c
type: CatalogRecord
conforms to: 32557.html
issued: 2026-03-31
modified: 2026-03-31

Historical orthophotos 1990s
type: Dataset
abstract: This dataset comprises historical orthophotos from the 1990s to 1999, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images ranges from 25 to 100 cm. The mosaics were created using aerial photography campaigns dating from 1995, 1997, 1998 and 1999. The original photographs were digitised and orthorectified in the Lambert 2008 coordinate system. The spatial coverage for each year corresponds to the areas for which photographs were available. High-resolution data can be ordered via https://shop.ngi.be/fr/photos-aeriennes/
keyword: historical orthophotos, aerial photographs, 1995, 1997, 1998, 1999, panchromatic, black and white, 25 cm resolution, 50 cm resolution, 100 cm resolution
theme: Orthoimagery
theme: Aerial photographs and orthophotographs
theme: Federal viewer
theme: Environment
theme: Mosaic Element
theme: Orthoimage Coverage
theme: federal government
theme: National
theme: imageryBaseMapsEarthCover
spatial: Polygon
  as WKT: <http://www.opengis.net/def/crs/OGC/1.3/CRS84> Polygon((2.54 49.49, 2.54 51.51, 6.41 51.51, 6.41 49.49, 2.54 49.49))
issued: 1990-01-01
publisher: National Geographic Institute
accrual periodicity: asNeeded
language: fre
license: •The custodian of the resource holds the rights of property (including the rights of intellectual property) to the geographic files •The custodian grants the user the right to use the data for his internal use. •Commercial use of the data under any form is strictly forbidden •Custodian’s name must be mentioned each time the data are being used publically.
license: No limitations on public access
distribution: OGC:WMTS-
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distribution: OGC:WMS-
data quality: A compléter

https://publish.geo.be:/geonetwork/records/ee056fd6-995e-40a7-8ebf-b145ea0a30e0
type: CatalogRecord
conforms to: 32557.html
issued: 2026-04-14
modified: 2026-04-14

Electricity cables as built in the Belgian Part of the North Sea
type: Dataset
abstract: This dataset represents the exact location of electrical cables installed in the Belgian Part of the North Sea, including these for for the wind farms.
keyword: Federal government
keyword: marine spatial planning
keyword: Reporting INSPIRE
keyword: Marine essentials
theme: Utility and governmental services
theme: Belgian part of the North Sea
theme: Greater North Sea, incl. the Kattegat and the English Channel
theme: Land and natural area cover and use
theme: Energy
theme: National
theme: oceans
theme: utilitiesCommunication
spatial: Polygon
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temporal: 2014-01-01 /
issued: 2021-11-18
updated: 2025-01-06
publisher: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature)
publisher: Royal Belgian Institute of Natural Sciences (RBINS)
publisher: Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), GeoCell
publisher: Royal Belgian Institute of Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
language: eng
license: No conditions apply to access and use
license: https://creativecommons.org/licenses/by/4.0/
license: No limitations on public access.
distribution: Digital Object Identifier (DOI)
data quality: This dataset represents the location of each electricity cables laid down in the Belgian Part of the North Sea and has not been modified or altered.

Atmospheric conditions
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Royal Meteorological Institute of Belgium
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Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature)
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Royal Belgian Institute of Natural Sciences (RBINS)
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Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Management Unit of the North Sea Mathematical Models (MUMM)
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Marinecomponent / Composante marine / Belgian Navy
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Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Belgian Marine Data Centre (BMDC)
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Royal Belgian Institute for Natural Sciences (RBINS), Directorate Natural Environment (OD Nature), Ecosystems Physico-Chemistry (ECOCHEM)
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Belgian Climate Centre
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BE.NGI-IGN
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OGC:WMTS-
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precipitationindices-2085
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OGC:WMTS-
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precipitationindices-2085
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OGC:WMTS-
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OGC:WMTS-
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