Weather model INCA. Available parameters : 2m Temperature, 2m Dewpoint, 2m Relative Humidity, Snowfall level, Freezing level, 3D Temperature, 3D Humidity, 3D Wind, 10m Wind, 10m Gusts, Ground temperature, Wind chill, Precipitation, Precipitation type, Lightning, Collection of convective analysis fields:CAPE, CIN, LCL, Level of free convection,Lifted Index, Showalter Index, Deep ConvectionIndex, Trigger temperature, Trigger temperaturedeficit, Equivalent Pot. temperature, Moistureconvergence, Flow divergence, Precipitable water, Cloudiness, Visibility. This product is not publicly available yet

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.

The composite is produced every 5 minutes using the reflectivity data from the Wideumont and Jabbeke weather radars. This product is not publicly available yet.

This dataset comprises historical orthophotos from the 1960s to 1969, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images ranges from 10 to 50 cm. The mosaics were created using aerial photography campaigns dating from 1961, 1966 and 1969. The original photographs were digitised and orthorectified in the Lambert 2008 coordinate system. The spatial coverage for each year corresponds to the areas for which photographs were available. High-resolution data can be ordered via https://shop.ngi.be/fr/photos-aeriennes/

This dataset comprises historical orthophotos from the 1980s to 1989, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images is 10 cm. The mosaics were created using aerial photography campaigns dating from 1989. The original photographs were digitised and orthorectified in the Lambert 2008 coordinate system. The spatial coverage for each year corresponds to the areas for which photographs were available. High-resolution data can be ordered via https://shop.ngi.be/fr/photos-aeriennes/

This dataset comprises historical orthophotos from the 2000s to 2009, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images ranges from 25 to 100 cm. The mosaics were created using aerial photography campaigns dating from 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008 and 2009. The original photographs were digitised and orthorectified in the Lambert 2008 coordinate system. The spatial coverage for each year corresponds to the areas for which photographs were available. High-resolution data can be ordered via https://shop.ngi.be/fr/photos-aeriennes/

This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 8, criterion 2. This dataset contains measurements on the 7-Ethoxyresorufin-O-deethylase (EROD) activity in Limanda limanda, Imposex (OTIN in Mytilus edulis), fish diseases and counts of oiled common guillemots in the Belgian part of the North Sea.

This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 7, criterion 1. This dataset describes the impact of an offshore windmills farm on the hydrodynamics in the Belgian part of the North Sea (BPNS). Originally, it is a NetCDF file with the results of the reference simulation made with the COHERENS (COupled Hydrodynamical Ecological model for REgioNal Shelf seas) hydrodynamic model only forced by tides (no wind effect). Model resolution : ~ 12.5m. It contains both the reference situation which is a simulation without any windmill and the modeling result of the influence by the windmills on the hydrodynamic in the BPNS. The dataset contains the results on the most inner nested grid level for one reference spring-neap cycle: - hourly sea surface elevation - hourly bottom shear stress - hourly 3D horizontal velocity components (u,v) - hourly 3D eddy viscosity - time-averaged bottom shear stress over the reference spring-neap cycle - percentile 90 of the bottom shear stress for the reference spring-neap cycle - percentile 90 of the specific kinetic energy at the sea bed - accumulated time during which sedimentation processes are dominant - accumulated time during which re-suspension processes are dominant.

This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 10, criterion 1. The seafloor dataset describes the litter gathered between 2012 and 2014 during beam trawl (BTS) fishery surveys in the Belgian part of the North Sea (BPNS). It provides the date, location and haul information, type of litter found and information in the size of the items. Additionally the ship name and cruise references are reported. The data is recorded following ICES guidelines allowing future inclusion in the ICES online database DATRAS (Database of Trawl Survery). The sludge dataset describes the litter found between 2013 and 2016 on dredge disposal sites located in the coastal area of the Belgian part of the North Sea (BPNS). It provides the date, location, amount and type of litter as well as methodological information (e.g. mesh size). Additionally, the ship name and cruise references are reported. The beach litter dataset contains information on beach litter for the period 2012-2016 washed ashore on two reference beaches (Oostende Halve Maan & Oostende Raversijde). 40 surveys (100m transects) have been executed until January 2017. Monitoring & data recording has been done according to the OSPAR Guideline for Monitoring Marine Litter on the beaches in the OSPAR maritime area (OSPAR, 2010). Besides the number of litter items, the category is also noted. The dataset is characterized by a high variation in the number of items. The data are reported to OSPAR beach litter database. Conclusions: see https://odnature.naturalsciences.be/msfd/nl/assessments/2018/page-d10

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.