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federalThemes
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Share of the cadastral surface area that is not artificially developed in the cadastral and not unknown surface area to the administrative entity (region, province, district and municipality) for Wallonia
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Owners' origin - Natural persons corresponds to the dataset describing the origin of the natural persons holders of real rights over immovable properties located in Belgium according to the municipality of residence for residents and according to the country or territory of residence for the non-residents. This dataset is made up of seven classes. The first class shows, at national level, for each type of property, the total number of parcels, the number of parcels held by holders from each Belgian municipality and the number of parcels held by holders from each country or territory. The number of parcels takes into account the shares actually held. The second class shows this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, land register divisions and statistical sectors. The dataset is freely downloadable, in the form of zipped CSV files.
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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.
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The number of inhabitants according to official statistics per age group of 5 years and gender by administrative entity (region, province, district and municipality) for Flanders and the Brussels Capital Region
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Notifications of the cadastral income corresponds to the dataset describing the new cadastral incomes of property located in Belgium that has been notified to the taxpayer. This dataset is made up of seven classes. The first class includes, at national level, by fiscal status, by nature of cadastral income and by category of motivations, the number of cadastral incomes notified, the total amount of cadastral incomes notified, the median cadastral income notified, the 25th and 75th percentiles of cadastral incomes notified and the standard deviation of cadastral incomes notified. 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.
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Annual temperature extremes given in number of days: 1/ Total number of heatwaves occurring once in 20 years; 2/ Maximum length of the heatwaves occurring once in 20 years; 3/ Hot days: Mean annual number of days with maximum temperature > 25°C; 4/ Tropical days: Mean annual number of days with maximum temperature > 30°C; 5/ Frost days: Mean annual number of days with minimum temperature < 0°C. Heatwaves are defined according to the Royal Meteorological Institute of Belgium when the maximum temperature in Uccle is >= 25°C during at least 5 consecutive days, during which at least 3 days the maximum temperature is >= 30°C. The temperature extremes 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.
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The national wastewater-based epidemiological surveillance monitors public health parameters in several wastewater treatment plants across Belgium. The PMMoV virus is an indicator of human faecal contamination used to estimate the population load in wastewater samples. The results of this dataset consist of PMMoV concentrations over time as well as other data needed for the interpretations such as the flow rates of the treatment plants and the population covered.
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The earthquake catalogue and database of the Royal Observatory of Belgium contains source parameters of earthquakes that occurred in and around Belgium since 1350. Similar to most other seismic catalogues in the world, the ROB catalogue is heterogeneous, as it is based on the analysis of two different types of data: - Historical data: concern the period from about 1350 to 1910, for which only local reports about damage and felt effects (i.e. intensity) of earthquakes are available (“macroseismic” observations); - Instrumental data: concern the period from 1911 onward, the year continuous seismic recordings in Belgium started, up to the present day. For earthquakes during this period both intensity data (from macroseismic enquiries with the local authorities and, since 2000, on the internet) and seismic recordings are available. The earthquake catalogue is a list of earthquakes with the following parameters: origin time (year, month, day, hour, minute, second), geographic coordinates of the hypocenter (latitude, longitude, focal depth), magnitude (local magnitude ML, surface-wave magnitude Ms and/or moment magnitude Mw), maximum observed intensity, and the name of the locality. The ROB catalogue is considered to be complete: - Since 1350 for earthquakes with Mw>=5.0; - Since 1905 for earthquakes with Mw>=4.0 (seismic station in Uccle and neighboring countries); - Since 1960 for earthquakes with Mw>=3.0 (4 stations in Belgium); - Since 1985 for earthquakes with Mw>=2.0 (modern digital network consisting of 20+ stations).
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Annual, summer and winter mean potential evapotranspiration given in respectively mm/year and mm/3 months and based on the Penman-Monteith definition. The potential evapotranspiration fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
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Summer and winter mean wind speed given in m/s. The wind speed 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.
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