2026
Type of resources
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INSPIRE themes
federalThemes
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Provided by
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status
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Top10Vector – Particular zones is the vector dataset of portions of the Belgian territory having a particular attribution which makes them different from the objects in the other Top10Vector-themes. This dataset includes only one class which can be downloaded via the link in 'Access'.
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This web service allows viewing the dataset BeStAddress.
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This webservice allows viewing the Belgian topographical vector data as established by the National Geographic Institute. It gives an overview of the datasets of the Top10Vector-series which can be downloaded.
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Top10Vector – High tension network is the vector dataset of the high tension network in Belgium. The dataset consists of two classes. The first class contains the high-voltage segments and the second class contains the high-voltage pylons. This dataset can be downloaded via the link in 'Access'.
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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'.
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Top10Vector – Hydrography is the dataset of the Belgian hydrography. This dataset includes six classes. First class: waterway kilometer markers of the Belgian navigable waterways. Second class: watercourse surfaces. Third class: watercourse segments. Fourth class: water points, which means points where the water arrives at the surface or disappears into the subsoil. Fifth class: wetlands, which means zones where the soil is saturated or regularly flooded. Sixth class: water surfaces. This dataset can be downloaded via the link in 'Access'.
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Top10Vector - Road network is the vector dataset of the Belgian road network. It contains five classes. First class: dirt roads. Second class: kilometer markers along the road network. Third class: path segments. Fourth class: road obstructions. Fifth class: road segments. This dataset aims at representing the surface area of the road network on the Belgian territory and is not designed for route calculations. This dataset can be downloaded via the hyperlink in 'Access'.
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Top10Vector is Belgium's series of topographic vector data. The dataset contains 35 feature classes, which are divided into eight themes (road network, railway network, high-tension network, constructions, land cover and vegetation, local relief and particular zones). Each theme can be downloaded separately via the metadata page of the relevant theme, or collectively as Top10Vector via the link in 'Access' at the bottom of this page.
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Top10Vector – Local topography is the dataset of the Belgian orography. This dataset consists of eight classes. First class: earth banks. Second class: additional geometry of the slope surface. Third class: dune zone. Fourth class: historic mounds. Fifth class: cave entrances. Sixth class: cone-shaped slag heap. Seventh class: steeps. Eight class: embankments. This dataset can be downloaded via the link in 'Access'.
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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.
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