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 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.

The entities included in dataset represent the Belgian waterway transport network in the sense of the Inspire European directive. The dataset comprises several classes and is in accordance with the INSPIRE specifications. The class represents, in a linear manner, all of the waterway links between each pair of dots for the network considered. In addition to this is one class without geometry. The RestrictionForWaterCehicles class specifies for each segment the maximum tonnage of the building using the segment.

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 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 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.

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.

Emergency rescue zones corresponds to the dataset of the territorial delimitation of the emergency areas such as defined by the Royal Decree of February 2nd 2009 determining the territorial delimitation of the emergency areas in accordance with the law of May 15th 2007 on civil protection. This dataset is composed of two classes. The first class contains the identifiers, names and geometries of the various areas; the second is a class without geometry and corresponds to the table of Belgian municipalities with the emergency area for each of them. The dataset can be freely downloaded as a zipped shapefiles.