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111 results for “Flanders”
Figure 3 from: Maes D, Vanreusel W, Herremans M, Vantieghem P, Brosens D, Gielen K, Beck O, Van Dyck H, Desmet P, Vlinderwerkgroep Natuurpunt (2016) A database on the distribution of butterflies (Lepidoptera) in northern Belgium (Flanders and the Brussels Capital Region). ZooKeys 585: 143-156. https://doi.org/10.3897/zookeys.585.8019
Figure 3 - Number of collected records between 1830 and 1985 (left) and between 1986 and 2014 (right) in the two datasets (INBO and Natuurpunt). Each number on the x-axis stands for a period of 5 years (e.g., 1905 = 1901–1905, 1910 = 1906–1910, etc.). Note the different scales on the y-axis for both figures.
Figure 2 from: Maes D, Vanreusel W, Herremans M, Vantieghem P, Brosens D, Gielen K, Beck O, Van Dyck H, Desmet P, Vlinderwerkgroep Natuurpunt (2016) A database on the distribution of butterflies (Lepidoptera) in northern Belgium (Flanders and the Brussels Capital Region). ZooKeys 585: 143-156. https://doi.org/10.3897/zookeys.585.8019
Figure 2 - 10 × 10 km² UTM grid cells in Flanders and in the Brussels Capital Region. The partitioning of 10 × 10 km² UTM grid cells (left) into 5 × 5 km² UTM grid cells is shown on the right. The 5 × 5 km² UTM grid cells were used to georeference the distribution data in Flanders and the Brussels Capital Region.
Figure 4 from: Maes D, Vanreusel W, Herremans M, Vantieghem P, Brosens D, Gielen K, Beck O, Van Dyck H, Desmet P, Vlinderwerkgroep Natuurpunt (2016) A database on the distribution of butterflies (Lepidoptera) in northern Belgium (Flanders and the Brussels Capital Region). ZooKeys 585: 143-156. https://doi.org/10.3897/zookeys.585.8019
Figure 4 - Frequency distribution of the observers per number of records in the datasets of INBO and Natuurpunt.
Like or dislike? The impact of politicians' gender on vertical affective polarization in Flanders (Belgium) (replication data)
<p>Replication data for Devroe, R. & Wauters, B. (2023). Like or dislike? The impact of politicians’ gender on vertical affective polarization in Flanders (Belgium) </p>
Implementation of Hysteroscopy in Flanders and the Netherlands
ClinicalTrials.gov study NCT02853695. IPD Sharing: Not stated. Countries: 0. Publications: 5.
Data to: Enjoying tranquility - Development of ground vegetation after cessation of management in forests on loamy soils in Flanders (Belgium)
Open the record for dataset details and reuse information.
Figure 1 from: Devos K, T'jollyn F, Desmet P, Piesschaert F, Brosens D (2020) Watervogels – Wintering waterbirds in Flanders, Belgium. ZooKeys 915: 127-135. https://doi.org/10.3897/zookeys.915.38265
Figure 1 Top 30 most counted (dwc:individualCount) waterbird taxa in Flanders.
Sampling framework for the common breeding bird survey in Flanders, Belgium
<p>The sampling framework is based on 1 x 1 km UTM squares in Flanders. We determined the landscape composition of every square at the start of the survey in 2007. The Biological Valuation Map (Vriens et al., 2011) served as the basis for the landscape composition.</p><p>The file contains the following fields</p><ul><li>`UTM`: the UTM code of the square</li><li>`Stratum`: the stratum assigned to the square</li><li>`Oppervlakte`: the surface area of the square (in km²) contained within Flanders.</li><li>`Landbouw`: the fraction of aggriculture land use within `Oppervlakte`.</li><li>`Urbaan`: the fraction of urban land use within `Oppervlakte`.</li><li>`Bos`: the fraction of forest land use within `Oppervlakte`.</li><li>`Suburbaan`: the fraction of suburban land use within `Oppervlakte`.</li><li>`HeideDuin`: the fraction of heather or dunes land use within `Oppervlakte`.</li><li>`MoerasWater`: the fraction of heather or dunes land use within `Oppervlakte`.</li></ul><p>We distinguish six different strata based on the rules below.</p><ol><li>`Landbouw`: at least 80% `Landbouw`.</li><li>`Urbaan`: at least 80% `Urbaan`.</li><li>`Bos`: at least 80% `Bos`.</li><li>`Suburbaan`: at least 80% `Suburbaan`.</li><li>`Heide en duin`: at least 20% `HeideDuin`.</li><li>`Moeras en water`: at least 20% `MoerasWater`.</li></ol><p><strong>References</strong></p><p>Vriens L., Bosch H., De Knijf G., De Saeger S., Guelinckx R., Oosterlynck P., Van Hove M. & Paelinckx D. (2011). De biologische waarderingskaart: biotopen en hun verspreiding in vlaanderen en het Brussels Hoofdstedelijk Gewest. Mededelingen van het Instituut voor Natuur- en Bosonderzoek, Nr. INBO.M.2011.1. Instituut voor Natuur- en Bosonderzoek, België.</p><p> </p>
Figure 3 from: Steeman R, Vanreusel W, Barendse R, Verloove F, Wysmantel N, Van den Bussche W, Gyselinck T, Hendrickx P, Zwaenepoel A, Van Vooren P, Jacobs S, Desmet P, Gielen K, Herremans M, Swinnen K, all plant working groups and plant observers (2017) Waarnemingen.be – Plant occurrences in Flanders and the Brussels Capital Region, Belgium. PhytoKeys 85: 1-10. https://doi.org/10.3897/phytokeys.85.14925
Figure 3 - 4 × 4 km2 IFBL grid cells in Flanders and the Brussels capital region.
Figure 2 from: Vannevel R, Brosens D, De Cooman W, Gabriels W, Lavens F, Mertens J, Vervaeke B (2018) The inland water macro-invertebrate occurrences in Flanders, Belgium. ZooKeys 759: 117-136. https://doi.org/10.3897/zookeys.759.24810
Figure 2 The VMM monitoring network for surface water quality assessments.
Figure 5 from: Vannevel R, Brosens D, De Cooman W, Gabriels W, Lavens F, Mertens J, Vervaeke B (2018) The inland water macro-invertebrate occurrences in Flanders, Belgium. ZooKeys 759: 117-136. https://doi.org/10.3897/zookeys.759.24810
Figure 5 Sampling effort of the sediment quality network (number of samples per year).
Figure 4 from: Vannevel R, Brosens D, De Cooman W, Gabriels W, Lavens F, Mertens J, Vervaeke B (2018) The inland water macro-invertebrate occurrences in Flanders, Belgium. ZooKeys 759: 117-136. https://doi.org/10.3897/zookeys.759.24810
Figure 4 The VMM monitoring network for sediment quality assessments.
Figure 3 from: Vannevel R, Brosens D, De Cooman W, Gabriels W, Lavens F, Mertens J, Vervaeke B (2018) The inland water macro-invertebrate occurrences in Flanders, Belgium. ZooKeys 759: 117-136. https://doi.org/10.3897/zookeys.759.24810
Figure 3 Sampling effort of the water quality network (number of samples per year).
SERENA EJPSOIL BE Flanders SOCLOSS SOC 0-20cm cookbook
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <p>This SERENA dataset (100 m resolution) of soil orgnanic carbon concentration (0-20 cm soil layer) for Flanders was mainly produced to test the methodology of the SERENA SOC LOSS cookbook of the European SERENA EJP SOIL project. The data was prepared according to the methodology of SERENA SOC LOSS cookbook. The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. Soil organic carbon concentration was used as an indicator for soil organic carbon loss (ST). The map was based on digital soil mapping according to the method used in the EJP SOIL project WP6: Digital soil mapping approach with random forest using ISRIC workflow seedling. To create the soil organic carbon concentration map, we used soil organic carbon data of the regional <a href="https://omgeving.vlaanderen.be/nl/klimaat-en-milieu/bodem-en-ondergrond/vlaamse-koolstofmonitoring-hoeveel-koolstof-zit-er-in-de-bodem">soil organic carbon monitoring network Cmon</a> in Flanders (0-10 and 10-30 cm soil layer) from the period 2021-2024. The soil organic carbon concentration of the 0-20 cm was derived from the 0-10 and 10-30 cm Cmon data. The following auxiliary data was used: Digitale bodemkaart van het Vlaams Gewest: bodemtypes; Regional climate data; Landgebruik - Vlaanderen - toestand 2022; Tertiair geologische kaart (1/50.000); Bodembedekkingskaart (BBK), 1m resolutie, opname 2021; WRB Soil Units 40k: Bodemkaart van het Vlaamse Gewest volgens het internationale bodemclassificatiesysteem World Reference Base op schaal 1:40.000; Digitaal Hoogtemodel Vlaanderen II, DSM, raster, 1 m. The dataset will be mostly useful as a reference result for actors that want to learn to implement the part of the soil organic carbon loss cookbook of SERENA dealing with the creation of a SOC concentration map. It can have limited use as an interim SOC concentration map for Flanders until a better map becomes available using an optimised methodology and/or new data from the regional soil organic carbon monitoring network that was not yet available when this map was created.</p> <p>This dataset is originally hosted at DOV (<a href="https://www.dov.vlaanderen.be/">https://www.dov.vlaanderen.be/</a>), for the most up to date version of the dataset access the data from the DOV repository through the DOV services. The original metdata is accesible through the DOV metadata catalog: <a href="https://www.dov.vlaanderen.be/geonetwork/srv/dut/catalog.search#/metadata/37337449-8bee-420e-9943-81f074c4cbe8">SERENA EJPSOIL BE Flanders SOC 0-20cm cookbook.</a></p> <p>The DOV services:</p> <ul> <li><a href="https://www.dov.vlaanderen.be/geoserver/bodem/wms?SERVICE=WMS&version=1.3.0&request=GetMap">WMS </a>( OGC:WMS-1.3.0-http-get-map ) </li> <li><a href="https://www.dov.vlaanderen.be/geoserver/bodem/wcs?SERVICE=WCS&version=2.0.1&request=GetCoverage">WCS </a>( OGC:WCS )</li> </ul>
Figure 1 from: Brosens D, Van Landuyt W, Vanhecke L (2012) Florabank1: a grid-based database on vascular plant distribution in the northern part of Belgium (Flanders and the Brussels Capital region). PhytoKeys 12: 59-67. https://doi.org/10.3897/phytokeys.12.2849
Figure 1 - Taxonomic coverage of Florabank1
Figure 1 from: Brosens D, Breine J, Van Thuyne G, Belpaire C, Desmet P, Verreycken H (2015) VIS – A database on the distribution of fishes in inland and estuarine waters in Flanders, Belgium. ZooKeys 475: 119-145. https://doi.org/10.3897/zookeys.475.8556
Figure 1 - The logo of VIS.
Figure 9 from: Brosens D, Breine J, Van Thuyne G, Belpaire C, Desmet P, Verreycken H (2015) VIS – A database on the distribution of fishes in inland and estuarine waters in Flanders, Belgium. ZooKeys 475: 119-145. https://doi.org/10.3897/zookeys.475.8556
Figure 9 - Preview of the Darwin Core SQL view of the inland waters dataset.
5 Years of Eye Screening for ARF in Children Aged <3 Years in Flanders
ClinicalTrials.gov study NCT05612568. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of the Safety and Effectiveness of Switching From Humira® to Imraldi® in Flanders
ClinicalTrials.gov study NCT04045782. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Definition, Assessment and Treatment of Spasticity According to Physiotherapists and Occupational Therapists in Flanders, Belgium: A Cross-sectional Qualitative Study.
ClinicalTrials.gov study NCT06956534. IPD Sharing: YES. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.