'Top10Vector – Local topography' is the dataset of the Belgian orography. This dataset consists of 8 feature types. The embankments [LR_embankment], earth banks [LR_earthbank] and steeps [LR_steep] are described by a linear element at the height of the ridge line. Cone-shaped slag heaps [LR_coneshapedslagheap], historic mounds [LR_historicmound] and cave entrances [LR_caveentrance] are represented by points. For the embankments, earth banks and slag heaps with a sufficiently large horizontal occupation, the additional slope surface [LR_additionalslopesurface] is also shown. Finally, dune zones [LR_dunezone] are also indicated. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

Points Of Interest - patrimonial elements contains point elements relating to the patrimony, namely (water and wind)mill, (historic, commemoration, fortified) building, historic mound, ice house, castle, kiosk, shoring, non-religious monument, monumental stairs in Belgium.

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.

‘Top10Vector – Land cover and Vegetation’ is the vector dataset of the land use categories of undeveloped land areas in Belgium. This dataset comprises 3 feature types, namely isolated [LC_isolatedvegetation] and linear [LC_linearvegetation] vegetation and land cover zones [LC_landcoverzone]. This dataset can be downloaded via the links in ‘Access’ at the bottom of this page.

The national wastewater-based epidemiological surveillance of influenza (commonly known as flu) monitors the influenza presence in several wastewater treatment plants across Belgium. This dataset contains the results per treatment plant since the beginning of the surveillance in January 2024. The results consist of the influenza concentrations over time as well as other data needed for the interpretations such as the flow rates of the treatment plants and the population covered.

The national wastewater-based epidemiological surveillance of psychoactive substances monitors the presence of various psychoactive substances in several wastewater treatment plants across Belgium. This dataset contains the results per treatment plant since the beginning of the surveillance in 2025. The results consist of the psychoactive substances concentrations over time as well as other data needed for the interpretations such as the flow rates of the treatment plants and the population covered.

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.

The national wastewater-based epidemiological surveillance of respiratory syncytial virus (RSV) monitors the RSV presence in several wastewater treatment plants across Belgium. This dataset contains the results per treatment plant since the beginning of the surveillance in January 2024. The results consist of the RSV concentrations over time as well as other data needed for the interpretations such as the flow rates of the treatment plants and the population covered.

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 national wastewater-based epidemiological surveillance of SARS-CoV-2 monitors the SARS-CoV-2 presence in several wastewater treatment plants across Belgium. This dataset contains the results per treatment plant since the beginning of the surveillance in September 2020. The results consist of the SARS-CoV-2 concentrations over time as well as other data needed for the interpretations such as the flow rates of the treatment plants and the population covered.