geo.be Metadata Catalog
dataset
Type of resources
Available actions
Topics
INSPIRE themes
federalThemes
Keywords
Contact for the resource
Provided by
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status
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The national wastewater-based epidemiological surveillance of influenza (commonly known as flu) monitors the influenza presence in several wastewater treatment plants across Belgium. This dataset contains the results per treatment plant since the beginning of the surveillance in January 2024. The results consist of the influenza 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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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 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 product is made of 5 "high resolution layers" covering all the Belgian territory as part of a European-wide coverage for the reference year 2015. The 5 layers concern 4 distinct themes: Imperviousness, Forest, Grasslands, Wetness and Water. The 5 layers were produced by an automatic classification based on satellite images and collateral data and achieved by private companies (EEA service providers), and they were verified by Belgium. At the Belgian level, verification and enhancements were made by IV for the northern part and SPW for the outhern part. The NGI coordinated the project. Data was produced with funding by the European Union. Copyright Copernicus Programme DISCLAIMER: National Geographic Institute has undertaken to distribute the data on behalf of EEA under Specific Contract No 3436/R0-Copernicus/EEA.57005 implementing Framework service contract No EEA/IDM/R0/16/009/Belgium. National Geographic Institute accepts no responsibility or liability whatsoever with regard to the content and use of these data.” The European Environment Agency accepts no responsibility or liability whatsoever with regard to the information on this site and the information does not necessarily reflect the official opinion of the EEA or other European Communities bodies and institutions.
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The localised unemployment rate calibrated on the labour force survey (LFS), by administrative unit (region, province, district and municipality) for Belgium.
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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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Govroam is a " wifi roaming " solution. This service offers to the users a simple and secure access to the wireless network of their institution, but also to networks of other participating institutions. A user from an organization that participates in govroam will be able to connect to any wireless access point broadcasting govroam. The data provided here makes it possible to locate these access points.
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The Belgian gravimetric database consists of 69,000 measurements, made using relative spring gravimeters. This database is managed by the Royal Observatory of Belgium since 1925. Two superconducting gravimeters measure elusive gravity variations at the stations of Membach and Rochefort, with a precision better than 1E-10 of gravity at the surface of the Earth (g). Since 1996, an absolute gravimeter performs repeated gravity measurements at selected sites, with an accuracy of 1E-9 g.
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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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The data set contains a seamless polygonal layer representing the land cover in Belgium for the year 2006 and the year 2012. The polygons are spread over 32 classes from the CORINE Land Cover legend which are present un Belgium. The minimum map unit is 25 ha. The conceptual scale is 1:100 000. The data set also contains a polygon layer showing changes of more than 5 ha in the land cover between 2006 and 2012.
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MapIndex is a regular grid of rectangular or square cells coded with alphanumeric characters. It has been defined for the Belgian territory and allows geolacating several events. The present version is a beta (v2)version which is submitted to the emergency services. It will evolve to a standard cartographic grid.