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111 results for “Flanders”
Redistribution of the Natura 2000 habitat map of Flanders (version 2023)
<p>This is a <i>redistribution</i> of a <i>subdataset</i> of the data source <a href="https://www.vlaanderen.be/DataCatalogRecord/9fffedd9-5076-4310-a366-198947717725">Biologische Waarderingskaart en Natura 2000 Habitatkaart - Toestand 2023</a>, originally published by the Research Institute for Nature and Forest (INBO) (De Saeger et al. 2023; see also De Saeger et al. 2017) and distributed by 'Digitaal Vlaanderen' under a CC-BY compatible license. It was redistributed in order to make it more easily findable and useful (in the long run) for reproducible, analytical workflows on Flemish Natura 2000 habitats and regionally important biotopes.</p><p>The subdataset is a shapefile of geospatial polygons of BWK and Natura 2000 habitat types in the Flemish Region, identical to the shapefile 'BwkHab' in the original data source.</p>
Organic soil surveys across Flanders
<p>This dataset contains geospatial data of organic soils in wetlands and valleys across the Flemish region (Belgium). It is a compilation of several surveys, mainly commissioned by Agentschap voor Natuur en Bos (ANB), Vlaamse Milieumaatschappij (VMM) and Natuurpunt to map the presence of shallow organic soil layers for conservation purposes. Organic layer depth was mapped by pushing a (pvc) rod into the organic ground until it hits a resistance or mineral layer, then recording the depth and the geographical position with a handheld gps. This method allows a quick and cost-effective survey of large shallow carbon stocks. At several locations additional auger boring sample data and electrical conductivity-probe sample data was included in the dataset.<br><br>Since the majority of the samples were not analysed on carbon content, soils were defined as "organic soils".<br><br>Dataset maintained by the Research Institute for Nature and Forest/INBO</p><p><strong>For any inquiries, please contact </strong><a href="mailto:Tom.dedobbelaer@inbo.be"><strong>Tom.dedobbelaer@inbo.be</strong></a><strong> or </strong><a href="mailto:Cecile.herr@inbo.be"><strong>Cecile.herr@inbo.be</strong></a>. The .csv will be updated as required to correct issues or to add data from additional surveys. Please check for updated versions periodically.</p><p>Data description</p><ul><li>location: inventory location name</li><li>year: year of survey</li><li>Sample_ID: Point-ID given during survey, not unique</li><li>Unique_ID: Unique point-ID created for this dataset</li><li>EPSG_31370_X: X-coordinaat in EPSG 31370 (Lambert72), rounded to the closest meter</li><li>EPSG_31370_Y: Y-coordinaat in EPSG 31370 (Lambert72), rounded to the closest meter</li><li>stratigraphy: stratigraphy of the organic layer (near surface, substrate)</li><li>organic_layer_notation: indicates if depth is a value or within a range</li><li>organic_layer_depth: depth of the organic layer, measured from surface level (in cm)</li><li>sign: certain surveys mention a sign indicating if the actual depth is equal to or bigger then the given depth (e.g. when the measuring rod is too short or damaged during a survey)</li><li>method: method used to define organic layer depth</li><li>source: indicates the source of the data, it can be original field data or derived data from a map.</li><li>comment_soil: field comment given during survey (in Dutch)</li><li>contractor: contractor of the survey</li><li>awarding authority: commissioner of the survey</li></ul><p> </p>
NICHE Flanders: reference values for the (a)biotic requirements of vegetation types in Flanders, Belgium
<p>This dataset contains site requirements/tolerance limits (or "reference values") for 28 vegetation types found in Flanders. It gives the lower and upper limits or the classes within which these vegetation types can occur, for 7 site factors that determine potential vegetation development. These reference values can be used to determine the potential distribution of the different vegetation types with the ecohydrological model NICHE Flanders (<a href="https://purews.inbo.be/ws/portalfiles/portal/5370206/Callebaut_etal_2007_NicheVlaanderen.pdf">Callebaut et al. 2007</a>, in Dutch).</p> <p>See the Technical info (available in English and Dutch) for more information.</p>
Data from 'Tracability of Forest Reproductive Material with the quality label 'Plant van Hier': A DNA database with genetic profiles of native autochthonous tree and shrub species of Flanders, Belgium'
<h2>Background</h2> <p>Indigenous trees and shrubs play an important role in multifunctional forest management. They form a significant part of the biodiversity in our forests. Forest reproductive material (FRM) of autochthonous Flemish origin is sold under the quality label ‘Plant van Hier’, a certification mark of the Agency for Nature and Forests. To ensure the provenance of the seedlings, we developed a DNA-database of genetic profiles of potential parent trees, using species-specific genetic markers. This database enables the traceability of FRM of the ‘Plant van Hier’ label throughout the entire production chain; from seed harvesting and cultivation to planting by the end user.</p> <p>This database contains the genetic profiles of almost all possible parent trees present within 27 Flemish autochthonous seed orchards of eight ecologically important tree and shrub species: <em>Carpinus betulus</em>, <em>Corylus avellana</em>, <em>Frangula alnus</em>, <em>Populus tremula</em>, <em>Sorbus aucuparia</em>, <em>Tilia cordata</em>, <em>Tilia platyphyllos,</em> and <em>Ulmus laevis</em>. The profiles were established using microsatellite markers (11 to 24 markers per species). New genetic markers were developed for <em>Carpinus betulus</em> and <em>Ulmus laevis</em>. PCR products were run on an ABI 3500 Genetic Analyser (Thermo Fisher Scientific).</p> <h2>Files</h2> <p>The files will be updated when new genotypes are added to the seed orchards. The current data files contain data from genotypes collected in the period 2018-2023. </p> <h3>Species_genotypes</h3> <p>These files contain the genetic fingerprints of the parent trees of autochthonous Flemish seed orchards. Missing data is indicated as ‘MD’. For <em>Carpinus betulus</em>, an octoploid species, the allelic phenotype is given instead of the genotype as the number of times that an allele occurs on a specific locus is not known.</p> <p>The next metadata is additionally given:<br>- Species: the Latin name of the species<br>- Seed_orchard: the name of the seed orchard in which the genotypes are located<br>- Code_seed_orchard: the code of the seed orchard in which the genotypes are located as given in the Register of Flemish Forest Reproductive Material (‘Register bosbouwkundig uitgangsmateriaal’; inbo.be)<br>- Genotype: the fieldname given to the genotype<br>- Origin: the location where the genotype was collected in Flanders, Belgium. Genotypes were collected from natural stands which are assumed to have an autochthonous origin. When the specific location is unknown, the location ‘Flanders’ is given. <br>- Year_sampled: the year in which the genotypes were sampled in the respective seed orchard for genetic analysis.</p> <h3>Species_binsets</h3> <p>These files contain the binsets and allele names that are used to score the alleles of the genotypes in the programme Geneious Prime 2019.3.2 (<a href="https://www.geneious.com">https://www.geneious.com</a>). For <em>Tilia platyphyllos </em>and <em>Tilia cordata</em>, the same binsets were used.</p>
GRTS master sample for habitat monitoring in Flanders
<p>Spatially balanced sample for the whole of Flanders and the Brussels Capital Region based on the Generalized Random-Tessellation Stratified (GRTS) method (Stevens and Olsen, 2004). The sample consists of a grid of 32 meter x 32 meter cells, each having a unique ranking number. This so-called master sample is used as a basis to draw samples for different Natura 2000 habitat types in Flanders. A sample with sample size <em>n</em> for a certain habitat type is selected as follows: (1) select all grid cells of the master sample that overlap with the sampling frame of the target habitat type and (2) select the <em>n</em> grid cells with the lowest ranking number.</p>
Standardized map of habitat types and regionally important biotopes in Flanders
<p>The <code>habitatmap_stdized.gpkg</code> file is a processed version of the <a href="https://www.vlaanderen.be/datavindplaats/catalogus/biologische-waarderingskaart-en-natura-2000-habitatkaart-toestand-2023">Natura 2000 habitat map of Flanders</a> (De Saeger et al., 2023; see also De Saeger et al. 2017). It contains all polygons with Natura 2000 habitat types or regional important biotopes (RIB). This file is used as a basis for designing monitoring schemes in Flanders. </p> <p>In the original habitat map, every polygon can consist of maximum 5 different types (habitat (sub)types and regionally important biotopes). This information is stored in the columns <code>HAB1</code>, <code>HAB2</code>,..., <code>HAB5</code> of the attribute table. The fraction of each type within the polygons is stored in the columns <code>PHAB1</code>, <code>PHAB2</code>, ..., <code>PHAB5</code>.</p> <p>The <code>habitatmap_stdized.gpkg</code> file is a GeoPackage that contains:</p> <ul> <li><code>habitatmap_polygons</code>: a spatial layer with every habitat map polygon that contains a Natura 2000 habitat or RIB type.</li> <li><code>habitatmap_types</code>: a table with information on the habitat and RIB types (HAB1, HAB2,..., HAB5) that occur within each polygon of <code>habitatmap_polygons.</code></li> </ul> <p>The processing of the habitatmap_types table included following adjustments:</p> <ul> <li>For some polygons the type is uncertain, and the type code in the raw habitatmap data source consists of 2 or 3 possible types, separated with a ','. The different possible types are split up and one row is created for each of them, with <code>phab</code> for each new row simply set to the original value of <code>phab</code>. The variable <code>certain</code> will be <code>FALSE</code> if the original type code consists of 2 or 3 possible types, and <code>TRUE</code> if only one type is provided.</li> <li>Some polygons contain both a standing water habitat type and <code>rbbmr</code>: <ul> <li><code>3130_rbbmr</code>,</li> <li><code>3140_rbbmr</code>,</li> <li><code>3150_rbbmr</code>, and</li> <li><code>3160_rbbmr</code>.</li> </ul> </li> <li>Since <code>habitatmap_stdized_2020_v1</code>, the two types <code>31xx</code> and <code>rbbmr</code> are split up and one row is created for each of them, with <code>phab</code> for each new row simply set to the original value of <code>phab</code>. The variable certain in this case will be <code>TRUE</code> for both types.</li> <li>After those steps, a given polygon could contain the same type with the same value for <code>certain</code> repeated several times, e.g. when <code>31xx_rbbmr</code> is present with <code>phab</code> = yy% and <code>31xx</code> is present with <code>phab</code> = zz%. In that case the rows with the same <code>polygon_id</code>, <code>type</code> and <code>certain</code> were gathered into one row and the respective phab values were added up.</li> </ul> <p>The R-code for creating the <code>habitatmap_stdized</code> data source can be found in the GitHub repository <a href="https://github.com/inbo/n2khab-preprocessing/tree/abf596e/src/generate_habitatmap_stdized">'n2khab-preprocessing' at commit abf596e</a>.</p> <p>A reading function to return the data source in a standardized way into the R environment is provided by the R-package <a href="https://github.com/inbo/n2khab">n2khab</a>.</p> <p>Attributes of <code>habitatmap_polygons</code>:</p> <ul> <li><code>polygon_id</code></li> <li><code>description_orig</code>: polygon description based on the original type codes in the raw habitatmap </li> </ul> <p>Attributes of <code>habitatmap_types</code>:</p> <ul> <li><code>polygon_id</code></li> <li><code>type</code>: the interpreted habitat or RIB type</li> <li><code>certain</code>: <code>TRUE</code> when type is certain and <code>FALSE</code> when type is uncertain</li> <li><code>code_orig</code>: original type code in raw habitatmap</li> <li><code>phab</code>: proportion of polygon covered by type, as a percentage.</li> </ul> <p>Since version <code>habitatmap_stdized_2020_v1</code>, rows are unique only by the combination of the <code>polygon_id</code>, <code>type</code> and <code>certain</code> columns.</p>
Digitalised dry heathlands on historical Ferraris Map of Flanders
<p>Dataset description</p> <p>Dataset contains GIS vector layers with the polygons of regions, in the Esri shapefile format. Polygons have been drawn manually using QGIS software according to the borders of paths and roads, capturing schematic patterns of dry heathland from De Coene et al. (2012).<br> CRS: EPSG:3857 - WGS 84 / Pseudo-Mercator<br> Charset Encoding: UTF-8</p>
Ecological soil map NICHE Flanders - Ecologische NICHE bodemkaart Vlaanderen
<p>NL</p> <p><strong>ECOLOGISCHE NICHE BODEMKAART VLAANDEREN</strong></p> <p>De NICHE bodemkaart voor Vlaanderen is een ecologisch getinte vereenvoudigde bodemkaart die als input dient voor het ecohydrologisch model NICHE Vlaanderen (<a href="https://purews.inbo.be/ws/portalfiles/portal/5370206/Callebaut_etal_2007_NicheVlaanderen.pdf">Callebaut et al. 2007</a>). </p> <p>De bodem speelt een belangrijke rol voor standplaatscondities en het voorkomen van plantengemeenschappen. In NICHE Vlaanderen worden zogenaamde ‘ecologische bodemtypes’ gedefinieerd. De bodemkenmerken worden daarbij vereenvoudigd tot een paar ecologisch relevante kenmerken: de korrelgrootte en de aanwezigheid van organische stof, die bepalend zijn voor de vochtcondities, zuurgraad en het trofieniveau in de bodem.</p> <p>De NICHE bodemkaart onderscheidt 12 klassen:</p> <table> <tbody> <tr> <td>Cijfercode</td> <td>Lettercode</td> <td>Omschrijving</td> </tr> <tr> <td>2</td> <td>K1</td> <td>alluviale kleigronden, arm aan organisch materiaal</td> </tr> <tr> <td>3</td> <td>KV</td> <td>alluviale kleigronden, rijk aan organisch materiaal, venige klei, klei op veen</td> </tr> <tr> <td>5</td> <td>Le</td> <td>eolische leemgronden</td> </tr> <tr> <td>6</td> <td>MK</td> <td>maritieme klei</td> </tr> <tr> <td>7</td> <td>P</td> <td>trilveen</td> </tr> <tr> <td>8</td> <td>V</td> <td>veen</td> </tr> <tr> <td>11</td> <td>Z1</td> <td>humusarme zandgronden (dunne humuslaag), podzol</td> </tr> <tr> <td>12</td> <td>Z2</td> <td>humusrijke zandgronden (dikke humuslaag)</td> </tr> <tr> <td>13</td> <td>ZV</td> <td>venige zandgronden, moerige zandgronden, zandige veengronden</td> </tr> <tr> <td>14</td> <td>L1</td> <td>alluviale leemgronden, arm aan organisch materiaal</td> </tr> <tr> <td>15</td> <td>LV</td> <td>alluviale leemgronden, rijk aan organisch materiaal, venige leemgronden</td> </tr> <tr> <td>10</td> <td> </td> <td>gronden die niet in aanmerking komen voor NICHE Vlaanderen:</td> </tr> <tr> <td> </td> <td>NG</td> <td>niet gespecifieerd</td> </tr> <tr> <td> </td> <td>B</td> <td>bebouwde of sterk beïnvloede gronden</td> </tr> <tr> <td> </td> <td>D</td> <td>droge gronden</td> </tr> <tr> <td> </td> <td>W</td> <td>open water</td> </tr> </tbody> </table> <p>De NICHE bodemkaart is afgeleid van de digitale bodemkaart van Vlaanderen (Digitale versie van de Bodemkaart van Vlaanderen, uitgave 20/06/2017, Databank Ondergrond Vlaanderen). De stappen om een eenheid van de bodemkaart van Vlaanderen in een NICHE bodemtype om te zetten worden in detail beschreven in het NICHE rapport (Callebaut et al. 2007: hoofdstuk 3 pp 32-45 en bijlage 3.3).</p> <p>Als er terreingegevens beschikbaar zijn, kan er afgeweken worden van deze (NICHE) bodemkaart: hoofdstuk 3.4 van het NICHE rapport (Callebaut et al. 2007) licht toe hoe een NICHE bodemtype toegekend kan worden aan een bodemprofiel op basis van de textuur, de dikte en de opeenvolging van de verschillende horizonten.</p> <p><strong>Formaat</strong></p> <p>Vectoriële geografische informatie ter beschikking gesteld als:</p> <ul> <li>shapefile (.shp, .dbf, .shx) met projectiebeschrijving (.prj), ruimtelijke indexen (.sbn, . sbx), geospatial metadata in XML formaat (.shp.xml) en stijlen (ArcView Layer Format .lyr, Styled Layer Descriptor Format .sld)</li> <li>geopackage (.gpkg) met stijlen (Styled Layer Descriptor Format .sld)</li> </ul> <p>Geografische referentiesysteem: Belge 1972 / Belgian Lambert 72 (<a href="https://epsg.io/31370">EPSG-code 31370</a>)</p> <p>Hoogtereferentiesysteem: Tweede Algemene Waterpassing (<a href="https://www.ngi.be/website/tweede-algemene-waterpassing/">TAW</a>)</p> <p><strong>Attributen</strong></p> <ul> <li>fid- Id NICHE bodemkaart (geopackage)</li> <li>gid- Id digitale bodemkaart 2017</li> <li>Bodemtype- Bodemkaarteenheden volgens het Belgische bodemclassificatiesysteem (digitale bodemkaart 2017)</li> <li>Bodemser_c- Bodemserie bestaande uit 3 letters die staan voor textuur, drainage en profiel (digitale bodemkaart 2017)</li> <li>Bodemserie - Bodemserie: beschrijving voor textuur, drainage en profiel (digitale bodemkaart 2017)</li> <li>Unitype - Bodemkaarteenheden met zeepolders omgezet naar de bodemclassificatie van de rest van Vlaanderen (digitale bodemkaart 2017)</li> <li>Grove_leg - Gegeneraliseerde legende van de bodemkaart (digitale bodemkaart 2017)</li> <li>Substr_V_c - Substraten waarvan de lithologische aard verschilt van die van de oppervlakkige laag (lithologische discontinuiteit) (digitale bodemkaart 2017)</li> <li>Textuur_c - Grondsoort, aard van het moedermateriaal (digitale bodemkaart 2017)</li> <li>Drainage_c - Natuurlijke draineringsklasse, natuurlijke drainage (digitale bodemkaart 2017)</li> <li>Profontw_c - Profielontwikkeling (digitale bodemkaart 2017)</li> <li>Fase_c - Secundaire bodemkenmerken (digitale bodemkaart 2017)</li> <li>Varimoma_c - Variant van het moedermateriaal (digitale bodemkaart 2017)</li> <li>Variprof_c - Variant van de profielontwikkeling (digitale bodemkaart 2017)</li> <li>Streek - Landbouwstreek (digitale bodemkaart 2017)</li> <li>NICHE_let - Lettercode van het NICHE bodemtype</li> <li>NICHE_cijf - Cijfercode van het NICHE bodemtype</li> </ul> <p><strong>Wijzigingen sinds vorige versie</strong></p> <p>Sinds vorige versie (1.1):</p> <ul> <li>NICHE bodemkaart niet meer gebaseerd op versie 2001 van de bodemkaart, maar op versie 20/06/2017 incl. een update met enkele militaire domeinen (Beverlo, Kleine Brogel, Brasschaat) en met een unibodemtype voor de classificatie van de zeepolders, alsook een verbetering van verschillende fouten.</li> <li>namen van de velden veranderd</li> <li>cijfercode van de NICHE bodemtypes aangepast (2 t.e.m. 15 i.p.v. 20 000 t.e.m. 150 000)</li> <li>enkele verbeteringen van de vertaling tussen bodemtypes en NICHE bodemtypes: <ul> <li>sV, sV(o): ZV (i.p.v. V in v1.1)</li> <li>uvPep: LV (i.p.v. L1 in v1.1)</li> <li>GDa3x: LV (i.p.v. L1 in v1.1)</li> <li>v-Zdpb(z): Z1 (i.p.v. ZV in v1.1)</li> </ul> </li> </ul> <p><strong>Disclaimer</strong></p> <p>Deze kaart geeft de best beschikbare informatie maar is een vereenvoudiging van de werkelijkheid op terrein. Ten allen tijde geldt de reële situatie op terrein voor toepassing t.b.v. het beleidsmatig en wettelijk kader.</p> <p>EN</p> <p><strong>ECOLOGICAL SOIL MAP NICHE FLANDERS</strong></p> <p>The NICHE soil map for Flanders is an ecologically tinted simplified soil map that serves as input for the ecohydrological model NICHE Flanders (<a href="https://purews.inbo.be/ws/portalfiles/portal/5370206/Callebaut_etal_2007_NicheVlaanderen.pdf">Callebaut et al. 2007</a>).</p> <p>Soil plays an important role for habitat conditions and the occurrence of plant communities. In NICHE Flanders, so-called 'ecological soil types' are defined. The soil characteristics are thereby simplified to a few ecologically relevant characteristics: the grain size and the presence of organic matter, which determine the moisture conditions, acidity and the trophy level in the soil.</p> <p>The NICHE soil map distinguishes 12 classes:</p> <table> <tbody> <tr> <td>Numerical code</td> <td>Letter code</td> <td>Description</td> </tr> <tr> <td>2</td> <td>K1</td> <td>alluvial clay soils, poor in organic matter</td> </tr> <tr> <td>3</td> <td>KV</td> <td>alluvial clay soils, rich in organic matter, peaty clay, clay on peat</td> </tr> <tr> <td>5</td> <td>Le</td> <td>aeolian loamy soils</td> </tr> <tr> <td>6</td> <td>MK</td> <td>maritime clay</td> </tr> <tr> <td>7</td> <td>P</td> <td>quaking bog</td> </tr> <tr> <td>8</td> <td>V</td> <td>peat</td> </tr> <tr> <td>11</td> <td>Z1</td> <td>humus-poor sandy soils (thin humus layer), podzol</td> </tr> <tr> <td>12</td> <td>Z2</td> <td>humus-rich sandy soils (thick humus layer)</td> </tr> <tr> <td>13</td> <td>ZV</td> <td>peaty sandy soils, swampy sandy soils, sandy peat soils</td> </tr> <tr> <td>14</td> <td>L1</td> <td>alluvial loamy soils, poor in organic matter</td> </tr> <tr> <td>15</td> <td>LV</td> <td>alluvial loamy soils, rich in organic matter, peaty loams</td> </tr> <tr> <td>10</td> <td> </td> <td>grounds that do not qualify for NICHE Flanders:</td> </tr> <tr> <td> </td> <td>NG</td> <td>not specified</td> </tr> <tr> <td> </td> <td>B</td> <td>built-up or heavily influenced soils</td> </tr> <tr> <td> </td> <td>D</td> <td>dry soils</td> </tr> <tr> <td> </td> <td>W</td> <td>open water</td> </tr> </tbody> </table> <p>The NICHE soil map is derived from the digital soil map of Flanders (Digital version of the Soil map of Flanders, published on 20/06/2017, Database of the Subsoil in Flanders/Databank Ondergrond Vlaanderen). The steps to convert a unit of the soil map of Flanders into a NICHE soil type are described in detail in the NICHE report (Callebaut et al. 2007: chapter 3 pp 32-45 and appendix 3.3).</p> <p>If field data is available, it is possible to deviate from this (NICHE) soil map: chapter 3.4 of the NICHE report (Callebaut et al. 2007) explains how a NICHE soil type can be assigned to an observed soil profile based on the texture, the thickness and the succession of the different horizons.</p> <p><strong>Format</strong></p> <p>Vectorial geographic information provided as:</p> <ul> <li>shapefile (.shp, .dbf, .shx) with a description of the projection (.prj), spatial indexes (.sbn, .sbx), geospatial metadata in XML format (.shp.xml) and styles (ArcView Layer Format .lyr, Styled Layer Descriptor Format .sld)</li> <li>geopackage (.gpkg) with styles (Styled Layer Descriptor Format .sld)</li> </ul> <p>Geographical reference system: Belge 1972 / Belgian Lambert 72 (<a href="https://epsg.io/31370">EPSG code 31370</a>)</p> <p>Elevation Reference System: Second General Leveling (<a href="https://www.ngi.be/website/tweede-algemene-waterpassing/">Tweede Algemene Waterpassing - TAW</a>)</p> <p><strong>Attributes</strong></p> <ul> <li>fid - Id NICHE soil map (geopackage)</li> <li>gid - Id digital soil map 2017</li> <li>Bodemtype - Soil map units according to the Belgian soil classification system (digital soil map 2017)</li> <li>Bodemser_c - Core soil series: soil series consisting of 3 letters that stand for texture, drainage and profile (digital soil map 2017)</li> <li>Bodemserie - Core soil series: description for texture, drainage and profile (digital soil map 2017)</li> <li>Unitype - Soil map units with sea polders converted to the soil classification of the rest of Flanders (digital soil map 2017)</li> <li>Grove_leg - Generalized legend of the soil map (digital soil map 2017)</li> <li>Substr_V_c - Substrates whose lithological nature differs from that of the superficial layer (lithological discontinuity) (digital soil map 2017)</li> <li>Textuur_c - Soil type, nature of the parent material (digital soil map 2017)</li> <li>Drainage_c - Natural drainage class, natural drainage (digital soil map 2017)</li> <li>Profontw_c - Profile development (digital soil map 2017)</li> <li>Fase_c - Secondary soil features (digital soil map 2017)</li> <li>Varimoma_c - Variant of the parent material (digital soil map 2017)</li> <li>Variprof_c - Variant of the profile development (digital soil map 2017)</li> <li>Streek - Agricultural region (digital soil map 2017)</li> <li>NICHE_let - Letter code of the NICHE soil type</li> <li>NICHE_cijf - Numerical code of the NICHE soil type</li> </ul> <p><strong>Changes since previous version</strong></p> <p>Since previous version (1.1):</p> <ul> <li>NICHE soil map no longer based on version 2001 of the soil map, but on version 20/06/2017, including an update with some military domains (Beverlo, Kleine Brogel, Brasschaat) and with a uni-soil type for the classification of the sea polders, as well as the correction of various errors.</li> <li>names of the fields changed</li> <li>numerical code of the NICHE soil types changed (2-15 instead of 20 000-150 000)</li> <li>a few improvements to the translation between soil types and NICHE soil types: <ul> <li>sV, sV(o): ZV (instead of V in v1.1)</li> <li>uvPep: LV (instead of L1 in v1.1)</li> <li>GDa3x: LV (instead of L1 in v1.1)</li> <li>v-Zdpb(z): Z1 (instead of ZV in v1.1)</li> </ul> </li> </ul> <p><strong>Disclaimer</strong></p> <p>This map provides the best available information but is a simplification of the reality on the field. The real situation on the field prevails at all times over the NICHE soil map for all policy and legal applications.</p>
CURLEW_VLAANDEREN - Eurasian curlews (Numenius arquata, Scolopacidae) breeding in Flanders (Belgium)
<p><em>CURLEW_VLAANDEREN - Eurasian curlews (Numenius arquata, Scolopacidae) breeding in Flanders (Belgium)</em> is a bird tracking dataset published by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href="http://lifewatch.be/en/gps-tracking-network-large-birds">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <strong>CURLEW_VLAANDEREN</strong>, using trackers developed by Ornitela (<a href="https://www.ornitela.com">https://www.ornitela.com</a>). The study has been operational since 2020. In total 5 individuals of Eurasian curlew (<em>Numenius arquata</em>) have been tagged at several locations in Flanders (Belgium), mainly to study their habitat use and migration behaviour. Data are automatically synced with Movebank and from there periodically archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>).</p> <h2>Files</h2> <p>Data in this package are exported from Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1841091905">1841091905</a>. Fields in the data follow the <a href="http://vocab.nerc.ac.uk/collection/MVB">Movebank Attribute Dictionary</a> and are described in <code>datapackage.json</code>. 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/records/15696532/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>CURLEW_VLAANDEREN-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>CURLEW_VLAANDEREN-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> </ul> <h2>Acknowledgements</h2> <p>This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch. Additional funding was provided by Provincie Vlaams-Brabant. Data were collected in collaboration with Natuurpunt Studie.</p>
SPOONBILL_VLAANDEREN - Eurasian spoonbills (Platalea leucorodia, Threskiornithidae) in Flanders (Belgium)
<p><em>SPOONBILL_VLAANDEREN - Eurasian spoonbills (Platalea leucorodia, Threskiornithidae) in Flanders (Belgium)</em> is a bird tracking dataset published by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href="http://lifewatch.be/en/gps-tracking-network-large-birds">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <strong>SPOONBILL_VLAANDEREN</strong>, using trackers developed by Ornitela (<a href="https://www.ornitela.com/">https://www.ornitela.com</a>). The study has been operational since 2022. In total 10 individuals of Eurasian spoonbill (<em>Platalea leucorodia</em>) have been tagged at several locations in Flanders (Belgium), mainly to study their flight behaviour in a hostile environment of wind turbines and high-voltage power lines. Data are automatically synced with Movebank and from there periodically archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>).</p> <h2>Files</h2> <p>Data in this package are exported from Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study2313947453">2313947453</a>. Fields in the data follow the <a href="http://vocab.nerc.ac.uk/collection/MVB">Movebank Attribute Dictionary</a> and are described in <code>datapackage.json</code>. 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/records/15696453/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>SPOONBILL_VLAANDEREN-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>SPOONBILL_VLAANDEREN-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> </ul> <h2>Acknowledgements</h2> <p>This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.</p>
O_WESTERSCHELDE - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding in East Flanders (Belgium)
<p><em>O_WESTERSCHELDE - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding in East Flanders (Belgium)</em> is a bird tracking dataset published by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href="http://lifewatch.be/en/gps-tracking-network-large-birds">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <strong>O_WESTERSCHELDE</strong>, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, <a href="http://www.uva-bits.nl">http://www.uva-bits.nl</a>). The study was operational from 2018 to 2020. In total 13 individuals of Eurasian oystercatchers (<em>Haematopus ostralegus</em>) have been tagged in their breeding area in East Flanders (Belgium), west of the river Scheldt, mainly to study their habitat use on mudflats of the Western Scheldt (the Netherlands). Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>). No new data are expected.</p> <p>See van der Kolk et al. (2022, <a href="https://doi.org/10.3897/zookeys.1123.90623">https://doi.org/10.3897/zookeys.1123.90623</a>) for a more detailed description of this dataset.</p> <h2>Files</h2> <p>Data in this package are exported from Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1099562810">1099562810</a>. Fields in the data follow the <a href="http://vocab.nerc.ac.uk/collection/MVB">Movebank Attribute Dictionary</a> and are described in <code>datapackage.json</code>. 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/records/10053702/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>O_WESTERSCHELDE-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>O_WESTERSCHELDE-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> <li><strong>O_WESTERSCHELDE-acceleration-yyyy.csv.gz</strong>: acceleration data recorded by the tags, grouped by year.</li> </ul> <h2>Acknowledgements</h2> <p>This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch. Additional funding was provided by the Sovon Dutch Centre for Field Ornithology.</p>
Redistribution of the Natura 2000 habitat map of Flanders, partim habitat type 3260 (version 2023)
<p>This is a redistribution of a subdataset of the data source '<a href="https://www.vlaanderen.be/datavindplaats/catalogus/biologische-waarderingskaart-en-natura-2000-habitatkaart-toestand-2023">Biologische Waarderingskaart en Natura 2000 Habitatkaart - Toestand 2023</a>', originally published by the Research Institute for Nature and Forest (INBO) and distributed by 'Digitaal Vlaanderen' under a CC-BY compatible license. It is redistributed for reproducible, analytical workflows on Flemish Natura 2000 habitats and regionally important biotopes.</p><p>The subdataset is a shapefile of line segments of the Natura 2000 habitat type 3260 (Watercourses of plain to montane levels with the <i>Ranunculion fluitantis</i> and <i>Callitricho-Batrachion</i> vegetation) that correspond with its presence in watercourses in the Flemish Region, identical to the shapefile Hab3260 in the original data source.</p><p>The data source is produced, owned and administered by the Research Institute for Nature and Forest (INBO, Department of Environment of the Flemish government).</p>
Moth trends and traits in Flanders (northern Belgium)
<p>This code is related to the investigation of species traits as a guidance for moth conservation in the highly anthropogenic European region of Flanders (northern part of Belgium) based on Multi-Species Change Indices (MSCIs).</p> <p><strong>Abstract</strong></p> <ol> <li>Insects appear to decline rapidly in recent decades. This so-called sixth mass extinction garnered significant media attention, raising public awareness.</li> <li>Macro-moths—a species-rich and ecologically diverse insect group—face severe declines, particularly in urbanised and intensively farmed areas.</li> <li>Flanders is a highly anthropogenic region, serving as a case study where the impact on macro-moths of stressors like intensive agriculture, industrialization and urbanization has been quantified through a recently compiled Red List. Here, for 717 macro-moth species, we calculated relative changes in distribution area between a reference period (1980-2012) and the subsequent period (2013-2022). By correlating these species-specific trends with ten key ecological and life-history traits, we calculated more general Multi-Species Change Indices (MSCIs).</li> <li>These MSCIs showed that species associated with wet biotopes and heathlands declined on average by 20-25%, while (sub)urban species increased by more than 60%. Species feeding on lichens or mosses increased by 31%, while grass-feeding species decreased by 20%. Both very small (+34%) and very large species (+15%) increased, whereas medium-sized species decreased by 5%. Monophagous (+17%), migrant (+88%), and colour-invariable species (+5%) increased, while colour-variable species decreased (-8%). Finally, Holarctic (-21%) and Palearctic species (-5%) decreased, while Mediterranean (+27%) and Western-Palearctic species (+9%) increased.</li> <li>Our trait-based approach identifies key threats and mitigation strategies for moths in anthropogenic regions, offering evidence-based insights for crafting efficient management recommendations and informed conservation policies to safeguard moth communities.</li> </ol>
Map of standing water habitat types and regionally important biotopes in Flanders
<p>This map is a combination of the <a href="https://zenodo.org/records/13865531">standardized habitat map of Flanders</a> (version habitatmap_stdized_2023_v1) and <a href="https://zenodo.org/records/14203168">the watersurface map of Flanders</a> (version watersurfaces_2024). It contains standing water Natura 2000 habitat types (2190_a and 31xx) and regionally important biotopes (rbbah) in Flanders.</p> <p>The polygons with 2190_a habitat (dune slack ponds) are generated by selecting all watersurface polygons that overlap with dune habitat polygons (21xx) of the standardized habitat map.</p> <p>For each of the other aquatic habitat types (31xx and rbbah) we select the watersurface polygons that overlap with the selected habitat type polygons of the standardized habitat map. We also select polygons of the standardized habitat map containing standing water types but that do not overlap with polygons of the watersurface map.</p> <p>The <code>watersurfaces_hab.gpkg</code> file is a GeoPackage that contains:</p> <ul> <li><code>watersurfaces_hab_polygons</code>: a spatial layer with the selected polygons that contain standing water habitat types or regionally important biotopes. </li> <li><code>watersurfaces_hab_types</code>: a table with information on standing water habitat types and regionally important biotopes in each watersurface polygon.</li> </ul> <p>The R-code for creating the <code>watersurfaces_hab</code> data source can be found in the GitHub repository <a href="https://github.com/inbo/n2khab-preprocessing/tree/58138a8/src/generate_watersurfaces_hab">'n2khab-preprocessing' at commit 58138a8</a>.</p> <p>A reading function to return the data source in a standardized way into the R environment is provided by the R-package <a href="https://github.com/inbo/n2khab">n2khab</a>.</p>
Hexagonal grid in Flanders, Belgium
<p>As part of the annual partridge spring counts in Flanders, hunters are required to count partridges in all areas that have <a href="https://doi.org/10.5281/zenodo.5814833">suitable habitat</a> for partridges (<em>Perdix perdix</em>). Since it is assumed that visibility is around 200 meters, this hexagonal grid with a distance of 400 meters between parallel sides, helps volunteers in choosing observation points.</p>
Arnold Flander (f1209)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Arnold Flander<br><u>musiXplora-ID</u>: f1209<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/f1209">https://musixplora.de/mxp/f1209</a><br><u>Gender</u>: m<br><u>Confessions</u>: römisch-katholisch<br><u>First Mentioned</u>: 1595<br><u>Last Mentioned</u>: 1611<br><u>Sectors</u>: Instrumentenbau, Kirche<br><u>Professions (Musical)</u>: Komponist, Orgelbauer, Sänger<br><u>Professions (Non-Musical)</u>: Mönch<br><u>Main Place of Activity</u>: Mainz<br><u>Other Places of Activity</u>: Bamberg, Dillingen/Donau, Frankreich, Tolmezzo<br><br><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Bernhard 2003a</td><td>Orgeldatenbank Bayern</td><td><a href="https://musixplora.de/mxp/5001131">5001131</a></td></tr></tbody></table><br><u>Ereignisse:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Hersteller</td><td></td><td>Herstellung</td><td><a href="https://musixplora.de/mxp/6003527">6003527</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
BOP_RODENT - Rodent specialized birds of prey (Circus, Asio, Buteo) in Flanders (Belgium)
<p><em>BOP_RODENT - Rodent specialized birds of prey (Circus, Asio, Buteo) in Flanders (Belgium)</em> is a bird tracking dataset published by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href="http://lifewatch.be/en/gps-tracking-network-large-birds">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <strong>BOP_RODENT</strong>, using trackers developed by Ornitela (<a href="https://www.ornitela.com">https://www.ornitela.com</a>). The study has been operational since 2020. In total 35 individuals of 5 bird of prey species have been tagged at several locations in Flanders (Belgium), mainly to study their habitat use and migration behaviour. Data are automatically synced with Movebank and from there periodically archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>).</p> <h2>Files</h2> <p>Data in this package are exported from Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1278021460">1278021460</a>. Fields in the data follow the <a href="http://vocab.nerc.ac.uk/collection/MVB">Movebank Attribute Dictionary</a> and are described in <code>datapackage.json</code>. 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/records/12567894/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>BOP_RODENT-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>BOP_RODENT-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> </ul> <h2>Acknowledgements</h2> <p>This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch. Additional funding was provided by Agentschap voor Natuur en Bos (ANB).</p>
Redistribution of the map with the ecoregions of Flanders (version 2002)
<p>This is a redistribution of the data source '<a href="http://www.geopunt.be/catalogus/datasetfolder/5/58279e22-b9c0-4bcc-a774-95eb76208e7e">Ecodistricten en Ecoregio's</a>', originally published by the Research Institute for Nature and Forest (INBO) and distributed by 'Informatie Vlaanderen' under a CC-BY compatible license. It is redistributed for reproducible, analytical workflows on Flemish Natura 2000 habitats and regionally important biotopes.</p> <p>A first version of the ecodistricts of the Flemish region was made by the Institute of Nature Conservation and included in the ‘Flemish Structure Plan, part Open Space (1993)’ (Structuurplan Vlaanderen, deelfacet Open Ruimte). The former division in ecodistricts was partly based on the partition in ‘traditional landscapes’. Ecodistricts were defined as spatial entities, homogeneous with respect to abiotic characteristics which are slowly changing in time, as there are geology-lithology, soil, geomorphology-relief, (geo)hydrology. However, a well defined hierarchy linked to a policy level as well as to an ecological level was missing. Moreover, the internal heterogeneity in certain ecodistricts was relatively high and no unambiguous method was used to define the boundaries of the ecodistricts. For the delimitation of the new ecodistricts in Flanders in 2002 the following abiotic components were considered (in hierarchical order): climatology, geology, relief, geomorphology, geohydrology, hydrology of surface water, soil. Ecodistricts were defined on the basis of their homogeneity for most of these abiotic components. On a higher hierarchical level, ecodistricts were grouped into ecoregions, based on the similarity of their geological and geomorphological properties. The 36 ecodistricts were grouped into 12 ecoregions. The data source was produced as part of action 134 of the Flemish environmental policy plan for the period 1997-2001 and is managed by the Research Institute for Nature and Forest.</p> <p>The dataset is a shapefile of geospatial polygons that describe the ecoregions of the Flemish region, identical to the shapefile <code>hb_ecoreg_inbo</code> in the original data source.</p>
Beaver territory locations in Flanders 2014-2022
<p>Data compiled by the Agency For Nature and Forest (ANB) on beaver territories in Flanders (Belgium) as reported by various persons and organisations. A first version of this dataset was compiled over the years 2014-2019. This second version also includes the situation up to 2022. The dataset contains geographical coordinates (WGS84) for each territory, the year in which the territory was first reported and the years thereafter in which this territory was occupied.</p>
Distribution of the Natura 2000 habitat type 7220 (Cratoneurion) in Flanders and Brussels Capital Region, Belgium (version 2025)
<p>The dataset is a geospatial collection of points that correspond with the presence or absence of the Natura 2000 habitat type <code>7220</code> (Petrifying springs with tufa formation (<em>Cratoneurion</em>)) in springs and streaming water segments in the Flemish and Brussels Capital Region, Belgium. The dataset also contains a number of locations that were visited during mapping projects but where <code>7220</code> was found absent, or where additional survey is needed to decide on presence/absence of the habittype. The file is a GeoJSON format RFC7946 (WGS84).</p> <p>The data source is produced, owned and administered by the Research Institute for Nature and Forest (INBO, Department of Environment of the Flemish government).</p> <p>Headers are: </p> <ul> <li><code>id</code>; </li> <li><code>source</code>: original data source;</li> <li><code>validity status</code>: field inventory carried out (<code>gecontroleerd</code>) or not (<code>niet gecontroleerd</code>);</li> <li><code>name</code>: unique name of the site;</li> <li><code>system_type</code>: stream type (<code>rivulet</code>), mire type (<code>mire</code>), unknown (<code>unknown</code>) or na (<code>NA</code>);</li> <li><code>habitattype</code>: <code>7220</code>, no Natura 2000 type <code>(gh)</code>, unconfirmed <code>7220</code> <code>(7220, gh)</code>, alkaline fen<code>(7230)</code>;</li> <li><code>unit_id</code>: spatially related sites are identified by a common identifier</li> <li><code>area_m2</code>: area in square meters;</li> <li><code>year</code>: year of field inventory;</li> <li><code>sbz</code>: inside (1) or outside (0) special area of conservation;</li> <li><code>geometry</code>: latitude, longitude in decimal degrees.</li> </ul>
ScienceDex guides
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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.