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 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.

Buildings is the INSPIRE 2D vector data set of the "Constructions" layer originated from the Top10vector product of the National Geographic Institute in Belgium . It includes the "Building" features and the "OtherConstruction" features in accordance with the INSPIRE specifications.

The entities included in the dataset represent the physical network in the sense of the Inspire European directive. The dataset comprises several classes and is in accordance with the INSPIRE specifications. The Wetland class represents poorly drained or periodically flooded portions of land, the soil of which is saturated with water but where vegetation is nevertheless able to develop. The StandingWater class represents flooded areas that are, nevertheless, completely surrounded by land.

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.

Top10Vector – Railway network is the dataset of the railway network in Belgium. This data set includes three classes. First class: rail network kilometer markers. Second class: railway stop. Third class: railway track segments. This dataset can be downloaded via the hyperlink in 'Access'.

This dataset contains the administrative units for the organisation of elections, within their boundaries as established by Annex I of the Electoral Code.

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'.

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'.

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.