The entities included in dataset represent the Belgian waterway transport network in the sense of the Inspire European directive. The dataset comprises several classes and is in accordance with the INSPIRE specifications. The class represents, in a linear manner, all of the waterway links between each pair of dots for the network considered. In addition to this is one class without geometry. The RestrictionForWaterCehicles class specifies for each segment the maximum tonnage of the building using the segment.

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

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.

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.

Geodetic markers of which the 3D coordinates are precisely known in common Belgian reference systems.

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 present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.

Annual, seasonal and monthly precipitation amounts given in respectively mm/year, mm/3 months and mm/month. The precipitation amounts 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 to respectively the 50th, and 5th or 95th percentiles of the change factors.

The Copernicus Urban Atlas (UA) provides European, comparable and detailed land use and land cover maps for the main Functional Urban Areas (FUAs). The Urban Atlas Street Tree Layer (UA-STL) is a separate layer of the Urban Atlas 2012. It includes contiguous rows or patches of trees covering 500 m² or more with a minimum width of 10 m within the urban mask of the Urban Atlas 2012. Gaps between tree patches or within a larger patch that are less than 10m wide are included in the Street Tree Layer. There is no thematic content other than the presence or absence of trees. The UA-STL is a new product and no accuracy threshold was provided as part of the Urban Atlas specifications. The UA STL product validated currently covers just over 7% of the total UA2012 area.

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.