Characteristics of the cadastral parcels - Rights of real estate companies corresponds to the dataset describing the legal persons holding real rights on the parcels such as recorded by the FPS Finance for registration purposes. This dataset is composed of seven classes. The first class shows, at the national level, for each cadastral nature and for each type of real right, the number of parcels, their total cadastral income, as well as for each category of economic activity, the number of parcels on which real estate companies hold the concerned real rights (i.e. the companies of L class from NACE classification). The second class includes this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, cadastral divisions and statistical sectors. The dataset can be freely downloaded as a zipped CSV.

The product is made of 6 "high resolution layers" covering all the Belgian territory as part of a European-wide coverage. The 6 layers concern 6 distinct themes: Imperviousness, Tree cover density, Forest type, Permanent grasslands, Wetlands and Permanent waterbodies. The 6 layers were produced by an automatic classification based on satellite images and collateral data and achieved by private companies (EEA service providers), and they were verified and enhanced by Belgium. At the Belgian level, verification and enhancements were made by AGIV for the northern part and SPW for the southern part. The NGI coordinated the project.

Real estate property dynamics corresponds to the dataset describing changes in ownership in Belgium as recorded by the FPS Finance. This dataset comprises seven classes. The first class includes, at national level, for each cadastral nature, the total number of parcels, the number of parcels that have changed ownership at different time intervals, the median and mean duration since the last change of ownership, the 25 and 75 percentiles of the duration since the last change of ownership, and the mean duration of ownership rotation over the entire existence of the parcels. The second class uses this information for all three regions. The following classes do the same for provinces, arrondissements, communes, cadastral divisions and statistical sectors. The dataset is freely downloadable as zipped CSV files.

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 Royal Decree of 22 May 2019 establishing a marine spatial plan defines 11 military use and storage sites for war munition zones: Exercise area for sweeping mines (Buiten Ratel) (Art. 17§1), Exercise area for sweeping mines - NB-01 (Westhinder) (Art. 17§1), Exercise area for sweeping mines - NBH-10 (Wenduine) (Art. 17§1), Exercise area for sweeping mines - QZR 040 (Art. 17§1), Munition destruction area (Art. 17§2), Area for shooting exercises on floating objects (Art. 17§3), Area for exercises in shallow waters (Art. 17§4), Area for shooting exercises from land - big sector (Art. 17§5), Area for shooting exercises from land - medium sector (Art. 17§5), Area for shooting exercises from land - small sector (Art. 17§5), Storage site for war munition Paardenmarkt (Art. 18§1). It replaces the 2014 Marine Spatial Plan, which is included for completeness. The Royal Decree of 20 March 2014 establishing a marine spatial plan defines in its Art. 13. and Art. 14., resp. nine zones for military use and one storage site for war munition: three zones for shooting exercises from land direction sea (Art 13. § 1 small sector, Art 13. § 1 medium sector, Art 13. § 1 large sector), four exercise areas for sweeping mines (Art 13. § 3, Exercise area 1 for sweeping mines, Art 13. § 5, Exercise area 2 for sweeping mines, Art 13. § 9, Exercise area 3 for sweeping mines, Art 13. § 13, Exercise area 4 for sweeping mines), one area for shooting exercises on floating objects (Art 13. § 7), one area for defusing mines (Art 13. § 11) and one zone to safeguard the closed storage site for war munition \"Paardenmarkt\" (Art. 14. § 1). These zones are made available digitally in the resource described by this metadata document. Please refer to the Belgian official gazette (\"Moniteur belge/Belgisch Staatsblad\") for official reference information.

The Scientific Service Management Unit of the Mathematical Model of the North Sea of the Royal Belgian Institute for Natural Sciences has been operating monitoring stations on the Belgian Part of the North Sea since the 1970s. These stations are located in the Scheldt estuary, at open sea and in coastal waters. In 2007, 10 new stations were designated and were placed in the monitoring network needed for the OSPAR convention, the Water Framework Directive and the Marine Strategic Framework Directive. These replaced a series of 54 previous monitoring stations whose data was gathered throughout the years for the Belgian Monitoring Programme and reported according to the recommendations of the OSPAR Convention. This dataset contains information on all monitoring stations ever used by the Scientific Service Management Unit of the Mathematical Model of the North Sea. The dataset provides location, name, operational history and for which reporting obligations they are used.

This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 4, criterion 2. Three distinct datasets are published for this criterion.'Occurrence of breeding seabirds' describes the observation of eight seabird species (Common tern, Black-headed Gull, Herring Gull, Common Gull, Small Black-backed Gull, Yellow-legged gull, Big Stern and Little Stern) on the Belgian coast between 1992 and 2015. 'Density of seabirds' describes the density of seabirds (N birds/km) observed at large in the Belgian part of the North Sea between 1987 and 2016 (three surveys a year). Thirteen species are monitored and the evolution of each species density is shown as diagrams.'Occurrence of important benthic species' describes the results of Van Veen sampling campaigns performed between 2009 and 2014 in the Belgian part of the North Sea. Benthic species are counted and identified (e.g. Annelida, Echinodermata,..).

Mapping plan parcel - statistical sector corresponds to the dataset associating a plan parcel such as defined in article 2 of the Royal Decree of July 30th 2018 with the statistical sector including it. This dataset is composed of a single class mentioning the identifier of the plan parcels as well as the identifier of the statistical sectors. The dataset can be freely downloaded as a zipped CSV.

Characteristics of the cadastral parcels - Exemption from withholding tax on immovable property corresponds to the dataset describing the parcels exempted from withholding tax on immovable property. The first class shows, at the national level, the number of parcels per exemption category, the total amount of cadastral income of these parcels, their surface area as well as the median cadastral income of each category. The second class includes this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, cadastral divisions and statistical sectors. The dataset can be freely downloaded as a zipped CSV.

Real estate sales - Profile of the buyers corresponds to the dataset describing the profile of the buyers (natural persons) of real estate. This dataset is composed of seven classes. The first class shows, at the national level, for each cadastral nature and by price range the number of real estate property that was sold as well as the number of buyers broken down by age and gender categories. The second class includes this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, cadastral divisions and statistical sectors. The dataset can be freely downloaded as a zipped CSV.