Points Of Interest - Natural elements contains point elements relating to nature, namely remarkable trees and underground cavities 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.

The contour lines are the set of lines connecting all points at the same elevation in a model used to represent the relief on a large scale.

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.

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'.

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.

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.

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.

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.