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dataset

173 record(s)
 
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  • Settlement area is defined here in terms of land use. Settelement area is the space occupy to live, work, relax and move around. This includes everything that seals the soil but also includes various forms of non-paved green space, such as gardens and parks or sports grounds and these are therefore not counted as open space. These indicators show the total settelement area expressed in m² and the part of the settlement area in relation to the total area per administrative entity (region, province, district and municipality) for Flanders.

  • The number of inhabitants according to official statistics by age group (<20 years, >=65 years, >=80 years) and by administrative entity (region, province, district and municipality) for Wallonia.

  • The DTM 1m, digital terrain model at 1m-resolution, is a homogeneous and regular point grid indicating the height of the ground level in order to model its surface, without taking into account objects on the surface such as buildings and vegetation. DTM 1m is achieved by interpolating in Lambert 2008 source data in Lambert 72 and at a 1m-resolution from the Flemish (2013-2015) and Brussels (2021) Regions, and by adding Lambert 2008 data at 1m-resolution from the Walloon Region (2021-2022).

  • Natura 2000 (N2K) is a network of core breeding and resting sites for rare and threatened species, as well as for some rare natural habitat types which are protected in their own right. It stretches across all 28 EU countries, both on land and at sea. The aim of the network is to ensure the long-term survival of Europe's most valuable and threatened species and habitats that are listed under the Birds Directive and the Habitats Directive. This dataset contains the sites in Belgium.

  • 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.

  • Categories  

    The Belgian seismic network of the Royal Observatory of Belgium (ROB), with about 45 permanent stations, is mainly dedicated to the monitoring and the scientific study of the seismic activity in Belgium. The ROB is also managing 3 stations in the Grand-Duchy of Luxemburg (in cooperation with the European Center for Geodynamics and Seismology). Earthquakes worldwide with magnitude greater than 4.5 – 5.0 are routinely recorded by the Belgian seismic network. The measurements on these recordings are sent to international seismological centers (EMSC and ISC) where data from stations worldwide are analyzed to furnish a global catalogue of earthquakes and phase arrival time models. We also provide real-time seismic signals from some Belgian stations to data exchange centers like ORFEUS (Observatories and Research Facilities for European Seismology) and IRIS (Incorporated Research Institutions for Seismology).To complement the seismic network, the Belgian accelerometric network was installed early in the 2000ies to furnish reliable data when strong ground motions saturate traditional seismometers. This network consists of 19 stations, is sensitive to accelerations of 1E-5 g (g is gravity at the Earth’s surface) and is an important tool for professionals in the field of earthquake engineering and engineering seismology (seismic hazard assessment). Currently, since 2014 the service is installing another network (“AcceleROB“) of 90 low-cost accelerometers. These sensors are calibrated to be sensitive to accelerations of 1E-3 g, which should be observed during any earthquake of local magnitude ML=3 or larger.

  • Summer and winter mean relative humidity given in %. The relative humidity fields are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding respectively to the 50th and 5th percentiles of the change factors.

  • Distribution of real estate assets - real estate companies corresponds to the dataset relating to the distribution of real estate assets owned by legal entities such as recorded by the FPS Finance for tax purposes. This dataset is composed of eight classes. The first class mentions, at national level, for each cadastral income bracket, the number of legal entities with real estate activity (according to the NACE nomenclature) and with real estate capital valued in the relevant bracket as well as the total and median cadastral income of the parcels held by these entities. The assessment of the cadastral income takes into account the shares actually held. The second class includes this information at the level of the three regions. The following classes do the same at the level of provinces, districts, municipalities, land register divisions and statistical sectors. The last class includes this information at the level of the countries for the legal entities which are not settled in Belgium but wich are nevertheless reigstred at the Carrefour Banque of the Entreprises.The dataset can be freely downloaded as a zipped CSV.

  • Characteristics of cadastral parcels - Concentration of cadastral income corresponds to the dataset measuring the concentration of cadastral income for parcels of a housing-like nature. This dataset is composed of seven classes. The first class shows, at the national level, for each category of parcels dedicated to housing, the number of parcels and the total cadastral income of the parcels by cadastral income bracket. 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.

  • Annual, summer and winter mean temperature given in °C. The temperature fields are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding respectively to the 50th and 95th percentiles of the change factors.