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49 record(s)
 
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From 1 - 10 / 49
  • Points Of Interest - Elements of general interest contains point elements that are classified as being of general interest, namely embassies, (federal, regional, provincial, municipality) buildings, Govroam, court houses, prisons, police stations, post offices, education, sports buildings and infrastructure, cultural places and centres, libraries and archives, attraction-, recreation-, water- and wildlife parks, camp sites, museum, provincial domains, observatory, observation points, swimming pools, chemist's, crematorium, fire station, civil defence and healthcare in Belgium.

  • Points Of Interest - Infrastructures interest contains point elements indicating the location of a infrastructure, such as a container depot, incinerator, brunnel (bridges and tunnels), rail traffic, subway access, subway and tram stops, heli- and airport, control tower, light mast, lighthouse, water tower, flashing-lamp, breakwater, harbour area, marina, ship lift, dock, embankment, sluice, stilt structure and water point in Belgium.

  • 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'.

  • The national wastewater-based epidemiological surveillance monitors public health parameters in several wastewater treatment plants across Belgium. This dataset contains the catchment areas per treatment plant since the beginning of the surveillance in September 2020.

  • The dataset shows in the form of polygons the sand and gravel extraction sites in the Belgian marine areas as defined by the successive marine spatial plans. A 2014 version illustrates the 2014-2020 plan while the 2020 version illustrates the 2020-2026 plan.

  • Categories  

    Administrative Units - INSPIRE corresponds to the dataset of the Belgian administrative units that complies with the INSPIRE specifications. This dataset is composed of two classes. The first class contains administrative units and the second class contains administrative boundaries. The class are composed of the following administrative level: Kingdom, Regions, Provinces, and arrondissements, and municipalities. The entire dataset can be downloaded via the ad hoc WFS.

  • 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'.

  • Top10Vector – Land cover and vegetation is the vector dataset of the land use of unbuilt land areas in Belgium. This data set includes three classes. First class: isolated vegetation. Second class: land cover zones. Third class: linear vegetation. This dataset can be downloaded via the link in 'Access'.

  • The Royal Observatory of Belgium maintains several continuously observing GNSS tracking stations in Belgium. The stations are also belonging to EUREF Permanent Network (EPN) used to maintain the ETRS89 and the observation data are available to the public through https://doi.org/10.24414/FST8-P256.

  • The Solar Ultraviolet - Visible Irradiance Monitoring network (SUVIM) is formed of observation stations operated by the Royal Belgian Institute for Space Aeronomy (IASB-BIRA). At each station, UV solar radiation is measured by several instruments. The network produces UV indices, solar irradiances and ancillary measurements such as meteorological conditions at the stations in quasi-real time. The SUVIM Station Network dataset includes information on the stations. It does not include the measured data, which form the SUVIM Observations dataset.