UNDER EMBARGO - This dataset contains seasonal physiological measurements from controlled laboratory experiments on two dominant suspension-feeding species expected to colonise floating offshore structures: the blue mussel (Mytilus edulis; AphiaID 140480) and the wrinkled barnacle (Balanus crenatus; AphiaID 106215). The measured parameters include clearance rates, respiration rates, faecal pellet production rates, and faecal pellet sinking velocities. Mussels were collected from an aquaculture longline at the Westdiep SeaFarm, while barnacles were manually retrieved from the intertidal beachhead at Raversijde (Oostende, Belgium). All experiments were conducted using natural seawater collected from offshore sites in the Belgian part of the North Sea. Measurements were repeated across multiple seasons to capture temporal variability in physiological performance. The dataset was produced within the SWiM and EcoMPV projects and is suitable for reuse in ecosystem and biogeochemical modelling, including simulations of phytoplankton dynamics associated with large-scale offshore marine photovoltaic (MPV) developments.

The national wastewater-based epidemiological surveillance monitors public health parameters in several wastewater treatment plants across Belgium. This dataset contains the catchment areas per treatment plant since the beginning of the surveillance in September 2020.

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.

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. Hourly AWS data are computed from the 10-min observations.

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.

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.

Inheritances corresponds to the dataset describing declarations of estate and the value of the assets included therein. This dataset is composed of five classes. The first class includes, at the national level, by age group, gender, and type of property, the number of deceased persons, the total value of the property, the median value of the property, the 25th and 75th percentiles of the value of the property, and the standard deviation of the value of the property. 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, and municipalities. The geographical distribution is based on the deceased's tax domicile. Since January 1, 2015, the FPS Finance is no longer responsible for the estates of deceased persons with a tax domicile in Flanders. Only data for tax domiciles located in the Walloon Region and the Brussels-Capital Region are included in the dataset. The dataset can be downloaded free of charge in zipped CSV format.

Total lightning observations, i.e., cloud-to-ground (CG) strokes and intra/inter-cloud (IC) pulses, in Belgium. BELLS data is given in Universal Time! (local time winter = UT +1; local time summer = UT + 2). Each record contains following fields: 1. Network type, 0 = LF, 1 = VHF-TOA, 2 = VHF-ITF, 3 = VLF 2. Year, 1970 to 2032. 3. Month, with January as 1 and December as 12. 4. Day of the month, 1 to 31. 5. Hour, 0 to 23. 6. Minute, 0 to 59. 7. Second, 0 to 60. 8. Nanosecond, 0 to 999999999. 9. Latitude of the calculated location in decimal degrees, to 4 decimal places, -90.0 to 90.0. 10. Longitude of the calculated location in decimal degrees, to 4 decimal places, -180.0 to 180.0. 11. Altitude in meters, -4950 to +60535. This field will be 0 if the altitude is not provided in the lightning data. 12. The altitude uncertainty in meters. This field will be 0 if the altitude uncertainty is not provided in the lightning data. 13. Estimated peak current in kiloamps, -9999 to 9999. 14. VHF Range normalized power, -9999.0 to 9999.0 15. Multiplicity for flash data (1 to 99) or 0 for strokes. 16. Cloud pulse count for the lightning record. This field will be -1 if the lightning did not contain the cloud pulse count attribute. 17. Number of sensors participating in the solution, 2 to 99. 18. Degrees of freedom when optimizing location, 0 to 99. 19. The error ellipse angle as a clockwise bearing from 0 degrees north, 0 to 180.0 degrees 20. The error ellipse semi-major axis length in kilometers, 0 to 50.0km. 21. The error ellipse semi-minor axis length in kilometers, 0 to 50.0km. 22. Chi-squared value from location optimization, 0 to 999.99 23. Rise time of the waveform in microseconds, 0 to 99.9 24. Peak-to-zero time of the waveform in microseconds, 0 to 999.9 25. Maximum rate-of-rise of the waveform in kA/usec (will be a negative rate if discharge is negative), -999.9 to 999.9 26. Cloud indicator, 1 if Cloud-to-cloud discharge, 0 for Cloud-to-ground 27. Angle indicator, 1 if sensor angle data used to compute position, 0 otherwise 28. Signal indicator, 1 if sensor signal data used to compute position, 0 otherwise 29. Timing indicator, 1 if sensor timing data used to compute position, 0 otherwise 30. Flash ID, a unique integer value identifying the flash grouping a stroke belongs to or 0 if not set. This product is not publically available yet.

Since August 2019, users of the RMI smartphone app are able to send an observation of the meteorological conditions at a certain place and a certain time. The observations provide information about the weather conditions and potentially severe weather to the other users and to RMI. The collection of citizen weather reports is a valuable complement to the information obtained with the classical instruments like stations, radar and satellite. The data can be exploited for nowcasting, warnings and model verification, and eventually in assimilation. A general introduction of the data and their characteristics can be found in Reyniers et al. (2023). A basic quality control is implemented on the received observations via a plausibility check. This plausibility check determines whether an observation is plausible, suspicious or false, by comparing it to the INCA-BE nowcasting system using a simple thresholding scheme. INCA-BE is RMI's operational nowcasting system described in Reyniers et al. (2021). There is no strict spatial extent since there is no restriction at the input side: users can send observations from all over the globe. The bulk of the observations are received from within Belgium. Note that the plausibility check is not available for reports from outside Belgium.

Characteristics of the cadastral parcels - Rights of real estate companies 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 for each category of economic activity, the number of parcels on which real estate companies hold the concerned real rights (i.e. the companies of L class from NACE classification). 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.