The dataset of the electoral cantons represents the geographical unit used for the organization of the elections. The electoral cantons were digitised based on the definitions in the Annex of the Electoral Code, which is managed by the FPS Home Affairs. The dataset consists of a single feature type, namely the boundaries of the electoral cantons [electoralcanton]. This dataset can be downloaded via the links in 'Access' at the bottom of this page.

Points Of Interest - Cult elements contains point elements relating to the cult, namely churchs (anglican, catholic, orthodox, protestant), mosques, synanogues, buddhist temples, chapels, abbeys, priories and other religious buildings or small monuments in Belgium.

Points Of Interest - Economy interest contains point elements indicating the location of an economic activity, such as a brewery, wholesale market, (commercial, industrial) building, cooling tower, gas processing/disposal, slagheap, telecommunications, wind turbine, solar panel park in Belgium.

The entities included in the dataset represent the Belgian road transport network in the sense of the Inspire European directive. The dataset comprises several classes. The RoadLink class represents, in a linear manner, all of the road links between each pair of dots for the network considered. The footpaths, cycle paths or carriageways that connect the pairs of dots correspond to as many entities in the class. The RoadServiceArea class represents the sections of space devoted to auxiliary road transport functions, such as service stations or rest areas. In addition to this are two classes without geometry. RoadWidth class describes in metres the width of each segment of the "road links" class. The "functional importance" class ranks the segments of the "road links" class by functional importance on the road transport network.

The entities included in the dataset represent the Belgian rail transport network in the sense of the Inspire European directive. The dataset comprises several classes and is in accordance with the INSPIRE specifications. The RailLink class represents, in a linear manner, all of the rail links between each pair of dots for the network considered. The RailwayStationNode class represents occasionally all of the stations located along the network. In addition to this are two classes without geometry. The RailwatType class ranks the segments according to the type of rail transport for which they were designed. All the segments for this dataset belong to the train category. The "RailwaytElectrification" class lists the segments according to whether they are electrified or not.

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 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.

Landuse-Particular Zone is the INSPIRE 2D vector data set of the "Particular zones" layer originated from the Top10vector product of the National Geographic Institute in Belgium . It includes the "ExistingLandUseDataSet" features and the "ExistingLandUseObject" features in accordance with the INSPIRE specifications.

This dataset contains a set of Points Of Interest (POI) indicating the location of places of interest in Belgium, collected by NGI. The dataset consists of 97 POI types grouped into 6 classes (natural elements, cult elements, patrimonial elements, elements of general interest, infrastructures, economy). POI types that have a link with the NGI topographic reference data are systematically monitored to ensure consistency between these data. But for other POI types, there is no guarantee of completeness and correctness. These are updated ad hoc when an error or incompleteness is noticed.

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.