Mean key indicators on future climate for Belgium for precipitation, temperature, relative humidity, wind speed, global solar radiation and potential evapotranspiration (spatial distributions are available through the WMS view service). The key indicators are derived from a multi-model ensemble of climate change signals or factors for a mean and high impact scenario (corresponding to respectively the 50th, and 5th or 95th percentile of the change factors), and for multiple future target years (2030, 2050, 2085, 2100).

The data set includes three types of breakdown: Cities, Larger Urban zones or Functional Urban areas. BE_StatisticsBelgium_SH_SU_UA_CITY presents in the form of polygons the borders of the Belgian cities participating to the Urban Audit of the European Commission. Some cities consist in only one municipality (LAU2) while the others are the result of the aggregation of several municipalities (LAU2). Several versions of the breakdown (2001, 2002, 2010, 2019) follow one another because over the years new cities have taken part in it. The files can be linked to the statistical data collected for the Urban Audit. BE_StatisticsBelgium_SH_SU_UA_LUZ and BE_StatisticsBelgium_SH_SU_UA_FUA present in the form of polygons the areas of influence of the Urban Audit cities on the surrounding municipalities. The initial concept of Larger Urban Zones (LUZ) was replaced by the concept of Functional Urban areas (FUA) to take into account the movement of workers to the Urban Audit cities. LUZ / FUA are an aggregation of municipalities (LAU2). Several versions of the breakdown (2001, 2002, 2010, 2019) follow one another because over the years new LUZ / FUA have appeared or have seen their extension modified. The files can be linked to the statistical data collected for the Urban Audit.

Distribution of real estate assets - real estate companies corresponds to the dataset relating to the distribution of real estate assets owned by legal entities such as recorded by the FPS Finance for tax purposes. This dataset is composed of eight classes. The first class mentions, at national level, for each cadastral income bracket, the number of legal entities with real estate activity (that is to say, registered under the code L of NACE nomenclature) and with real estate capital valued in the relevant bracket as well as the total and median cadastral income of the parcels held by these entities. The assessment of the cadastral income takes into account the shares actually held. 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, municipalities, land register divisions and statistical sectors. The last class includes this information at the level of the countries for the legal entities which are not settled in Belgium but wich are nevertheless reigstred at the Carrefour Banque of the Entreprises.The dataset can be freely downloaded as a zipped CSV.

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

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.

This datasets is a summary of the CTD profiles measured with the RV Belgica. It provides general meta-information such as the campaign code, the date of measurement and the geographical information. An important information is the profile quality flag that describes the validity of the data. A quality flag = 2 means the data is generally good although some outliers can still be present. A quality flag = 4 means the data should not be trusted. 1 meter binned data can be download on the SeaDataNet CDI portal (enter the cruise_id in the search bar) ONLY for the good quality profiles. Full acquisition frequency datasets are available on request to BMDC.

This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 11, criterion 1. This dataset describes the impulsive noise generated during percussion pile emplacement for offshore wind farm construction and unexploded ordnance (UxO) explosions. Impulsive underwater sound (pressure) was measured during pile driving operations in Belgian waters, for different types of foundations (monopiles of different diameters, foundations of ducts with a smaller diameter) and hydraulic hammers with different energy powers. The results of measurements at Bligh Bank and Thornton Bank, with a resulting extrapolation of zero to peak noise level (Lz-p) at 750m and Sound Exposure Level (SEL) (no mitigation measures deployed), are presented (Norro et al., 2013).

This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 1, criterion 2. The Raja clavata dataset describes the results of the Offshore Beam Trawl Surveys (BTS) in the Belgian part of the North Sea (BPNS) between 2010 and 2017. Occurrences of Raja Clavata, along with dates and locations, are reported. The codes used in the attached file are based on the ICES DATRAS (Database of Trawl Surveys) standard. The seabirds dataset describes the density of seabirds (N birds/km) observed in the BPNS between 1987 and 2016 (three surveys a year).

This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 8, criterion 1. This dataset describes the contaminant concentrations in biota. The priority substances mercury, hexachlorobutadiene and hexachlorobenzene are measured in mussels and flounder in the BPNS. Results for other parameters that are part of the OSPAR Coordinated Environmental Monitoring Program are also included: polychlorinated biphenyls (PCBs), polycyclic aromatic hydrocarbons (PAHs), heavy metals, organotin-compounds and polybrominated diphenyl ethers (PBDEs) for the period 2011-2016. The analyses are performed by ILVO and KBIN-OD Nature that both participate in the Quasimeme ring tests for additional quality control. Bird eggs of 2008, 2010 and 2015 are measured for mercury (Hg), dichlorodiphenyltrichloroethane (DDT), hexachlorobenzene (HCB) and hexachlorocyclohexane (HCH). Eggs from the are measured and compared with OSPAR norms Common Tern (Sterna hirundo) are gathered in Zeebrugge and are analyzed by the Insitut für vogelforschung in Wilhelmshaven according to a standard protocol.