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Foreign real estate - Owners' profile corresponds to the dataset describing the profile of Belgian taxpayers (natural persons) holding real estate abroad. This dataset is composed of five classes. The first shows, at national level, by age and sex category, the number of individuals holding a real right that allows enjoyment over foreign property, the total number of foreign properties held by these individuals, and the number of properties by foreign country or territory. The number of properties takes into account the shares actually held. The second class presents this information at the level of the three regions. The following classes do the same for provinces, arrondissements and communes. The dataset is freely downloadable as zipped CSV files.
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Download Service (WFS) for Lidar over Belgium. The data are updated regularly. Only the archives of the last two months are available.
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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
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From multiple observations during the day with UV spectrophotometers a daily value of the ozone column is calculated. This product is not publically available yet.
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RMI operates a network of 17 automatic weather stations in Belgium. These weather stations report meteorological paramaters such as air pressure, temperature, relative humidity, precipitation (quantity,duration), wind (speed, gust, direction), sunshine duration, shortwave solar radiation and infrared radiation every 10 minutes.
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This dataset is part of the Belgian submission for the 2018 Marine Strategic Framework Directive (MSFD) and reports on descriptor 1, criterion 6. This dataset describes the soft benthos analysis performed in the Belgian part of the North Sea between 2010 and 2016. Information on the location, date and procedure used for the sediment sampling is povided as well as the description of the species found in the samples. Based on this dataset, the Belgian MSFD reporting concluded that the benthic habitat quality is clearly lower in areas where a certain activity interferes with the environment in an intensive way.
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This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 5, criterion 2. This dataset contains the average of the 90th percentile chlorophyll a concentration during the growing season (march-october) in the Belgian part of the North Sea for the years 2011-2016. Chlorophyll a concentration (Chl) was generated from satellite daily data from ocean colour sensors. Data is supplied at approximately 1 km resolution on a geographical grid with equal spacing in longitude and latitude covering the described region.
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This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 6, criterion 1. This dataset describes and maps the the physical loss of the seabed in the Belgian part of the North Sea (BPNS) in the period 2011-2016. The dataset combines the different human activities responsible for a loss of seabed, including wrecks, measuring piles and radar stations, pipelines, power and telecommunication cables with their rock dump, and wind farms. The area lost is mapped and quantified per year, per activity and per benthic broad habitat.
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Summer and winter mean relative humidity given in %. The relative humidity fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.