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  • UV Index derived from spectral measurements with a Brewer UV spectrophotometer. This product is not publically available yet.

  • The ceilometer CL51 employs a pulsed diode laser LIDAR technology, where short, powerful laser pulses are sent out in a vertical or near-vertical direction. The reflection of light (backscatter) caused by clouds, precipitation or other obscuration is analysed and used to determine the cloud base height, the cloud layer height and the amount of clouds (in octas) in different layers.

  • 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.

  • Population density and area of administrative entities (region, province, district and municipality) for Flanders and the Brussels Capital Region

  • Bird density profiles are derived from weather radar volume data in real time, by the vol2bird algorithm as described in Dokter et al. (2011, 2019). The vol2bird algorithm exploits the radar reflectivity characteristics of different scatterers in the atmosphere, in order to distinguish biological from non-biological radar echoes. Once biological scatterers are isolated in the volume files, the reflectivity of these scatterers is converted in an estimate of the bird density per vertical layer of 200m, using a mean cross section of 11 cm2. The vbird profiles are provided for the following radars, with the radar owner in parentheses: Jabbeke (RMI), Wideumont (RMI), Helchteren (VMM), Zaventem (Skeyes), Herwijnen (KNMI), Den Helder (KNMI), Neuheilenbach (DWD), Essen (DWD), Abbeville (Météo-France) and Avesnois (Météo-France). References: - Dokter A.M., Liechti F., Stark H., Delobbe L., Tabary P., Holleman I., Bird migration flight altitudes studied by a network of operational weather radars, J. R. Soc. Interface, 8, 30–43, 2011, DOI 10.1098/rsif.2010.0116 - Dokter A.M., Desmet P., Spaaks J.H., van Hoey S., Veen L., Verlinden L., Nilsson C., Haase G., Leijnse H., Farnsworth A., Bouten W., Shamoun-Baranes J., bioRad: biological analysis and visualization of weather radar data, Ecography, 42, 852-860, 2019, DOI 10.1111/ecog.04028

  • Categories  

    Characteristics of the cadastral parcels - Rights of legal persons 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 the number of parcels on which legal persons from the concerned NACE code hold the concerned real rights. 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.

  • 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,..).

  • 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 (that is to say, registered under the code L of 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.

  • 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 Flanders and the Brussels Capital Region

  • The climate projections for Belgium are available as different data types: 1/ Daily climate model simulations and projections at a high spatial resolution of 0.025° or 2.8km for 3 Regional Climate Models (download service with NetCDF files): - ALARO-0 forced with the Global Climate Model ‘CNRM-CERFACS-CNRM-CM5’, calculated by RMIB-UGent; - COSMO-CLM5.0-TERRA-URB forced with the Global Climate model ‘ICHEC-EC-EARTH’, calculated by KULeuven; - COSMO-CLM5.0 forced with the Global Climate Model ‘MPI-M-MPI-ESM-LR’, calculated by UCLouvain. 2/ Climate indicators for a present (1975) and future (2085) target year under a mean and high impact scenario (view and download service with raster files). The climate indicators for Belgium were obtained by a statistical downscaling based on the high-resolution Belgian climate model projections, as well as on a large set of both Global Climate Model runs (CMIP5) and Regional Climate Model runs for Europe (EURO-CORDEX).