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762 results for “Belgium”
Figure 1 in A reassessment of the morphology and taxonomic status of 'Crocodylus' depressifrons Blainville, 1855 (Crocodylia, Crocodyloidea) based on the Early Eocene remains from Belgium
Figure 1. 'Crocodylus' depressifrons Blainville, 1855, type specimens from 'Soissonnais', original drawings by Blainville (1855: plate 6), A, B, skull in dorsal and ventral view; C, D, right lower jaw in lateral view and enlarged detail of the symphysis in dorsal view, the arrows in (D) indicate the small and nearly confluent eight and ninth alveoli; E, F, skull in occipital and right lateral view; note that the reconstructed squamosal 'horns' are moderately developed in (E) but nearly flat in (F). The scale was not reported in the original drawing by Blainville but, on the basis of the remains still preserved in Paris (MNHN G 156, MNHN G 160), the total skull length can be estimated to be about 500 mm.
Figure 13 in A reassessment of the morphology and taxonomic status of 'Crocodylus' depressifrons Blainville, 1855 (Crocodylia, Crocodyloidea) based on the Early Eocene remains from Belgium
Figure 13. 'Crocodylus' depressifrons Blainville, 1855, specimen IRSNB R253 from Orp-le-Grand. A, fragment (corresponding to the suborbital fenestra) of the right maxilla showing the position of the occlusal pits; B, detail of the symphysary area of the right lower jaw showing the splenial reaching but not entering the symphysis. See main text for abbreviations.
MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany
<p><em>MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany</em> is a camera trap observations dataset published by the <a href="https://inbo.be">Research Institute of Nature and Forest (INBO)</a>. It is part of the <a href="https://lifemica.eu/">LIFE project MICA</a>, in which innovative techniques are tested for a more efficient control of muskrat and coypu populations, both invasive species. The dataset contains camera trap observations of muskrat and coypu, as well as many other observed species.</p> <p>Data in this package are exported from the camera trap management system Agouti (<a href="https://agouti.eu">https://agouti.eu</a>) and formatted as a <a href="https://tdwg.github.io/camtrap-dp/">Camera Trap Data Package (Camtrap DP)</a>.</p> <p><strong>Files</strong></p> <p>Files are structured as a <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Package</a>. You can access all data in R via <code>https://zenodo.org/record/5590881/files/datapackage.json</code> using <a href="https://frictionlessdata.github.io/frictionless-r/">frictionless</a>.</p> <ul> <li><strong>datapackage.json</strong>: technical description of the data files.</li> <li><strong>deployments.csv</strong>: camera trap deployments. Includes <code>deploymentID</code>, start, end, location and camera setup information.</li> <li><strong>media.csv</strong>: media files (images/videos) captured by the camera traps. Associated with deployments (<code>deploymentID</code>) and organized in sequences (<code>sequenceID</code>). Includes timestamp and file path.</li> <li><strong>observations.csv</strong>: observations based on the media files. Associated with deployments (<code>deploymentID</code>) and sequences (<code>sequenceID</code>). Observations can mark non-animal events (camera setup, human, blank) or one or more animal observations (<code>observationType</code> = <code>animal</code>) of a certain taxon, count, age, sex, behaviour and/or individual.</li> </ul>
Observational rainfall data of the 2021 mid-July flood event in Belgium – Part 2. Radar product RADFLOOD21
<p>From July 13th to 16th 2021, a long period of sustained and heavy rainfall affected Central Europe producing extreme rainfall amounts in western Germany, eastern Belgium, Luxembourg and The Netherlands. In Belgium, this unusual event induced massive flooding on a large part of the country and was responsible for 39 fatalities and strong damages to buildings and infrastructures.</p><p>Such extremely rare event needs to be documented as much as possible and data must be made available for further studies in hydrology, in urban planning and, more generally, in all multi-disciplinary studies aiming at identifying and understanding all factors leading to such disaster.</p><p>The observational rainfall data available for Belgium during the period from July 13th to July 16th 2021 are here shared with the scientific community. These data are twofold and provided in 2 parts:</p><p><br><strong>Part 1. </strong><a href="https://doi.org/10.5281/zenodo.7739983"><strong>Observations from high-quality rain gauges</strong></a></p><p>The dataset includes daily precipitation accumulation recorded by 323 weighing and manual rain gauges in Belgium as well as 5-min precipitation data recorded by 168 weighing rain gauges. These data were checked for possible errors and inconsistencies.</p><p>The rain gauges observations are provided in csv format in 2 files:</p><ul><li>RainGaugesData_FLOOD21_daily.csv</li><li>RainGaugesData_FLOOD21_5min.csv</li></ul><p><br><strong>Part 2. </strong><a href="https://doi.org/10.5281/zenodo.7740059"><strong>Radar-based quantitative precipitation estimation (RADFLOOD21)</strong></a></p><p>This product provides a quantitative precipitation estimation of the event at high spatial (i.e., 1 km) and temporal (i.e., 5 min and hourly) resolutions. It is obtained after a careful processing of the weather radar measurements and a merging with rain gauge measurements. The data is provided in hdf5 format. In addition, an animation of the 5-min RADFLOOD21 data is also made available.</p><p> </p><p>These data are exposed and discussed in <a href="https://hess.copernicus.org/articles/27/3169/2023/">https://hess.copernicus.org/articles/27/3169/2023/</a>. In particular, several analyses of these data are performed to describe the spatial and temporal distribution of rainfall during the event and to illustrate its exceptional character.</p><p> </p>
FIG. 1 in Species of Puccinia Pers. nom. sanct. (rust fungi) on Bambusoideae in Belgium and in Europe
FIG. 1. — Puccinia longicornis Pat. & Har.: A, teleutosores in February (AF 3760); B, teleutosores in May (covered with a layer of basidia and basidiospores) with an erumpent uredosore (AF 3739). – Puccinia deutziae (Dietel) Fraiture & Vanderweyen, comb. nov. (AF 3738): C, teleutosore and uredosore – Puccinia phyllostachydis Kusano (AF 3761); D, teleutosore growing from the centre of an uredosore. – Puccinia deutziae (AF 3738): E, uredosores parasitized by Sphaerellopsis filum (Biv.) Sutton (pycnidia and cirrhi); F, basidium with a basidiospore; G, conidia of Sphaerellopsis filum. Scale bars: A-E, 500 µm; F, 20 µm; G, 10 µm.
FIG. 2 in Species of Puccinia Pers. nom. sanct. (rust fungi) on Bambusoideae in Belgium and in Europe
FIG. 2. — Puccinia deutziae (Dietel) Fraiture & Vanderweyen, comb. nov. (AF 3738): A, teleutospores; B, basidiospores. – Puccinia longicornis Pat. & Har. (AF 3739): C, basidiospores; D, teleutospores; E, paraphyses. – Puccinia phyllostachydis Kusano: F, teleutospores (AF 3743); G, paraphyses (AF 3749). Scale bars: B, C, 10 µm; A, D-G, 20 µm.
2022 electricity and heat demand data for a city district (Belgium)
<p>Dataset of electricity and heat demand in 2022 in a city district in Belgium (similar data for 2021 is available on Zenodo as well, https://doi.org/10.5281/zenodo.5155659). For the time period of the data, the district was still under construction and no full inhabitation of the buildings was present. Electricity data include electricity demand for:</p> <ul> <li>Individual households</li> <li>EV charging stations</li> <li>Decentralised waste water treatment</li> <li>Heat pump</li> <li>District heating pumps</li> <li>Vacuum network pumps</li> <li>Miscellaneous</li> </ul> <p>'Total' in the electricity dataset (ElectricPower) refers to the sum of the separate time series. 'Total measured' is a measurement of the total electricity use (in W). Data is averaged out over 15 minutes and expressed in Watt. </p> <p>The electricity demand for the individual households (ElectricPowerPrivateUnits) is expressed in Watt for the complete period. Column names have the form x.y in which x is a random number assigned to an apartment and y refers to the electricity consumption during the day (1) or at night (2).</p> <p>The heat demand data (HeatDemand) describes the heat demand of the complete district, i.e. all private living units as well as common areas, office buildings, sports hall... Like electricity demand data, heat demand data is averaged out over 15 minutes and expressed in Watt.</p> <div> </div>
Appendix of the manuscript: The burden of disease attributable to high body mass index in Belgium
<p>These datasets are part of the Appendix of the manuscript: <em>The burden of disease attributable to high body mass index in Belgium </em>from Gorasso et al.</p> <p>Appendix 3 includes the relative risks by age, sex and disease extracted from GBD 2019 used in the manuscript;</p> <p>Appendix 4 includes the results of the population attributable fractions of high body mass index by age, sex and disease derived in the manuscript.</p>
High spatial resolution dataset of downscaled LUH2 land use scenarios for Belgium (10 m and 100 m)
<p>This dataset comprises high-resolution land use data downscaled from LUH2 scenarios for Belgium at both 10 m and 100 m resolutions. These datasets were generated based on research conducted by Rashidi et al. in 2023 and published in the Land Journal. We employed the GLOBIO land allocation routine to downscale fractional land use data, originally at a 0.25° resolution (approximately 25 km), into discrete land use maps at 10 m and 100 m resolutions. This process utilized three distinct reference land cover maps: ESA WorldCover at 10 m resolution, ESA WorldCover upscaled to 100 m resolution, and CORINE land cover at 100 m resolution.</p> <p>During the downsizing process, we considered three SSP-RCP scenarios to model land use trends for both the present and the year 2050 on a national scale in Belgium. Key components of the model included regional land use demand, an assessment of grid cells' suitability for various land use types, and a reference land cover map. It's important to note that the classification system used in the reference maps differs from that of LUH2. To ensure comparability for land use simulations, we conducted a reclassification process following the methodologies outlined by Pérez-Hoyos et al. (2012), Dong et al. (2018), and Liao et al. (2020). This reclassification consolidated land use classes, except for water, into seven general categories: 1) urban, 2) cropland, 3) pasture, 4) forestry, 5) secondary vegetation, 6) undefined, and 7) natural.</p> <p>The raw data consists of three folders corresponding to the three reference maps, each containing four TIFF files (.tif), one for each scenario type.</p>
Fitness measures of maternal transplants (seed fitness) and of the F1 generation (rosette diameter) of three translocated populations of Arnica montana in southern Belgium
<p>Fitness data measured in the framework of a genetic monitoring of translocated populations of the critically endangered Arnica montana. See Van Rossum et al. (2020) in Molecular Ecology for more details.</p>
Individual multilocus genotypes of three translocated and two source populations of Arnica montana in southern Belgium
<p>Individual multilocus genotypes based on nine microsatellite loci measured in the framework of a genetic monitoring of translocated populations of the critically endangered Arnica montana. See Van Rossum et al. (2020) in Molecular Ecology for more details.</p>
Processed data of grasshoppers, butterflies and moths for analyses of species trend models for the regional WWF Living Planet Index for Belgium
<p>This archive contains pre-processed datasets used for the analysis of species occupancy models, the results of which were used in the calculation of multi-species indices as part of the regional WWF Living Planet Index for Belgium.</p> <p>The datasets are csv files (comma separated and . as decimal mark). </p> <p>For each species group (moths, butterflies and grasshoppers), the following files are available:</p> <ul> <li>a species list (files with 'species' in the name)</li> <li>an observations list (files with 'observations' in the name - for butterfly or moth species with two distinct flight periods, also a file with the data for the second generation is available)</li> </ul> <p>For one species, <em>Fabriciana adippe</em>, separate files are available with corrected data.</p> <p>The species list files contain the following variables:</p> <ul> <li>species_id (unique species id)</li> <li>scientific_name (accepted scientific name according to the GBIF taxonomic backbone)</li> <li>species_name_NL (Dutch species name)</li> <li>species_name_FR (French species name)</li> <li>season_start (n-th day of the year that marks the beginning of the first -and possibly only- generation)</li> <li>season_end (n-th day of the year that marks the end of the first -and possibly only- generation)</li> </ul> <p>The observations files contain the following variables:</p> <ul> <li>species_id (a unique identifier)</li> <li>year (year of observation)</li> <li>month (month of observation)</li> <li>day (day of observation)</li> <li>julian_day (n-th day of the year)</li> <li>site_id (unique identifier for the 1 km x 1km EEA 1 km x 1 km reference grid square <a href="https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-2">https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-2</a>)</li> <li>source (name of data provider)</li> <li>count (max number of sightings for the species for that day and site</li> </ul>
FIG. 1 in The worked bone industry and intrusive fauna associated with the prehistoric cave burials of Abri des Autours (Belgium)
FIG. 1. — Location of Abri des Autours and other Belgian sites mentioned in the text.
Heat Stress Maps - Urban Planning Scenarios 1986-2005 / 2026 - 2045: Antwerp, Belgium
<p>Heat stress maps for Antwerp representing<br /> * the average number of heatwave days<br /> (1986 – 2005 | 2026 – 2045 | 2081 – 2100)<br /> per statistical unit or per grid</p> <p>The heat stress parameter considered has been modelled over the reference period 2026 - 2045 using the present land use / cover situation for the city but combined urban planning projects information until 2030. Hence, the urban morphology has been updated accordingly.</p>
Heat Stress Exposure Maps - Urban Planning Scenario 2026 - 2045: Antwerp, Belgium
<p><strong>Antwerp heat stress exposure map: average number of heatwave days per year versus socio economic data - urban planning scenario (2026-2045)</strong></p> <p>Heat stress exposure maps for Antwerp representing the average number of heatwave days per year versus socio economic data per statistical unit. The average number of heatwave days per year has been modeled over the reference period 2026-2045 using the present land use / cover situation for the city but combined with urban planning projects information until 2030. Hence, the urban morphology has been updated accordingly.</p> <p><strong>Exposure mapping variable include:</strong><br /> * Total population 2030<br /> * Population density inhabitants per hectare 2030</p>
Heat Stress Maps - Base Scenarios 1986-2005 / 2026 - 2045 / 2081 - 2100: Antwerp, Belgium
<p>Heat stress maps for Antwerp representing<br /> * the average number of heatwave days<br /> (1986 – 2005 | 2026 – 2045 | 2081 – 2100)<br /> per statistical unit or per grid</p> <p>* The Urban Heat Island effect at 11pm per year<br /> (1986 - 2005) per statistical unit or per grid</p> <p>The heat stress parameter considered has been modelled over the reference period using the present land use / cover situation for the city.</p> <p>Please note that only the base scenario 1986-2005 has got maps with the 2 heat stress parameters:<br /> * Average number of heat wave days per year<br /> * Urban Heat Island effect at 11pm per year</p>
Heat Stress Exposure Maps - Base Scenario 1986 - 2005: Antwerp, Belgium
<p>Average number of heatwave days per year versus socio economic data - base scenario (1986-2005)</p> <p>Heat stress exposure maps for the city of Antwerp representing the average number of heatwave days per year versus socio economic data per statistical unit. The average number of heatwave days per year has been modelled over the reference period 1986-2005 using the present land use / cover situation for the city.</p> <p><strong>Exposure mapping variable include the following: </strong></p> <p>Total population 2014</p> <p>Population density inhabitants per hectare 2014</p> <p>Number of inhabitants aged 0 to 4 years 2014</p> <p>Number of inhabitants aged 0 to 17 years 2014</p> <p>Number of inhabitants aged 18 to 65 years 2014</p> <p>Number of inhabitants aged +65 years 2014</p> <p>Number of schools 2014</p> <p>Number of childcare centers 2014</p> <p>Number of hospitals 2014</p> <p>Number of elderly stay facilities 2014</p>
Belgium
[Belgium](https://en.wikipedia.org/wiki/Belgium) is a country in Western Europe bordered by the Netherlands to the north, Germany to the east, Luxembourg to the southeast, France to the southwest, and the North Sea to the northwest. It covers an area of 30,689 km2 (11,849 sq mi) and has a population of more than 11.5 million, making it the 22nd most densely populated country in the world and the 6th most densely populated country in Europe, with a density of 376 per square kilometre (970/sq mi). The capital and largest city is Brussels; other major cities are Antwerp, Ghent, Charleroi, Liège, Bruges, Namur, and Leuven. Source: Objaverse 1.0 / Sketchfab
Bronze public fountain in Bruges, Belgium
Bronze figurehead what originally functioned as a public fountain. Bruges (Brugge), Belgium. Rendered from 175 images, captured by a Fujifilm XT-2 camera. Mesh simplified in ZBrush. Source: Objaverse 1.0 / Sketchfab
FLAMINGo video: EU Web Awards 2022 winner, Mechelen, Belgium
<p>The FLAMINGo official website was recognized as the winner at the EU Web Awards 2022 held in Mechelen, Belgium. This prestigious award highlights the excellence and innovation demonstrated by the FLAMINGo project in its website presentation.</p>
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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