MapIndex is a regular grid of rectangular or square cells coded with alphanumeric characters. It has been defined for the Belgian territory and allows geolacating several events. The present version is a beta (v2)version which is submitted to the emergency services. It will evolve to a standard cartographic grid.

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.

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.

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.

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

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'.

Vector dataset of aeronautical obstacles with a height of 60 meters or more above the ground. The update of this dataset takes place on a multi-year cycle; for each obstacle and for each location, the situation is indicated as applicable at the time of its last update. Based on the horizontal range of an obstacle, it is classified into one of three classes: polygonal obstacle if the smallest rectangular area enclosing the obstacle has a length and width of more than 100 meters; line obstacle if the smallest rectangular area enclosing the obstacle has a length of more than 100 meters, but a width of less than 100 meters; point obstruction in other cases.

The data set has been established according to the INSPIRE format. It presents in the form of polygons the breakdown of Belgium in almost 20,000 statistical sectors. The statistical sector is the basic territorial unit resulting from the subdivision of the territory of municipalities by STATBEL since 1970 for the dissemination of its statistics at a finer level than the municipal level. A statistical sector cannot extend over two municipalities and any point in the municipal territory is part of one and the same statistical sector. The 1970 and 1981 versions are shown in analogue format while the 2001, 2011, 2018, 2019 etc. versions are available in digital vector format. The files can be linked to the data on population, housing and disposable income on the website of Statbel.

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.