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Netherlands"}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2024,"subjects":[{"subject":"Soils","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"9614"},{"subject":"Ecological Applications","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0501"},{"subject":"FOS: Earth and related environmental sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Land and Water Management","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"9609"},{"subject":"Environmental and Natural Resource Evaluation","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"9606"},{"subject":"Environmental Policy, Legislation and 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The raster data are comprised of covariates related to the soil-forming factors (climate, organism/land use/land cover, relief/topography, parent material/geology) for the purpose of using them for digital soil mapping. However, since the covariates cover a wide range of environmental variables, they can potentially be used for spatial modelling in the Netherlands also outside the field of soil science. All covariates can also be found from the original source, but the potential strength and practicality of this dataset lies in the broad range of readily available, collected, prepared and harmonized raster data.\u003cbr\u003eThe metadata of all the covariates in this dataset can be found in the \"00_covariates_metadata.csv\" file, including information about the names, category, value types, specific value types, type of geospatial data, file type, whether its static or dynamic, temporal coverage, date/version, resolution (all 25m), origin, source, access/license, description, processing steps and comments. The dataset includes 3 different types of files:GeoTIFF (.tif): the covariates as raster data at 25m resolution in the EPSG:28992 (Amersfoort / RD New) spatial projectionText (.txt): README files for each covariate with additional metadata information (filename ending in \"_readme.txt\")Tabular data (.csv): Classification and re-classification table for categorical covariates (filename ending in \"_reclassify.csv\")\u003cbr\u003eNote that the reclassification tables contain potential ways to reclassify the data provided, but can be altered by the user. Reclassification may be useful for categorical covariates with a large number of classes/categories. Note that covariates with CC BY-ND 4.0 licenses, covariates that are not open data or for which the license was unknown are not shared in this dataset.\u003cbr\u003eMore information about these covariates can be found in the associated scientific paper \"BIS-4D: Mapping soil properties and their uncertainties at 25m resolution in the Netherlands\" (Helfenstein et al., 2024, under review). Different ways of pre-processing and preparing the covariates for subsequent modelling can be found in R scripts 20-25 in the associated code repository on GitLab. This includes assembling and preparing covariates using GDAL (\"20_cov_prep_gdal.R\"), computing digital elevation model (DEM) derivatives using SAGA GIS (\"21_cov_dem_deriv_saga.R\"), deriving spectral indices from RGBNIR bands of Sentinel 2 images (\"22_cov_sensing_deriv.R\"), preparing categorical covariates using GDAL (\"23_cov_cat_recl_gdal.R\"), deriving dynamic covariates (\"24_cov_dyn_prep_gdal.R\") and exploratory analysis of the covariates (\"25_cov_expl_analysis_clorpt.Rmd\", \"25_cov_expl_analysis_cont_cat.Rmd\").","descriptionType":"Abstract"}],"geoLocations":[{"geoLocationPlace":"the Netherlands (national scale)"}],"fundingReferences":[{"awardTitle":"Soil Property mapping","funderName":"Wageningen Environmental Research, Wageningen University \u0026 Research, Dutch Ministry of Agriculture, Nature and Food Quality","awardNumber":"WOT-04-013-010"}],"xml":"<?xml version="1.0" encoding="UTF-8"?>
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  <identifier identifierType="DOI">10.4121/6AF610ED-9006-4AC5-B399-4795C2AC01EC.V3</identifier>
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      <creatorName nameType="Personal">Anatol Helfenstein</creatorName>
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    <creator>
      <creatorName nameType="Personal">Vera L. Mulder</creatorName>
      <givenName>Vera L.</givenName>
      <familyName>Mulder</familyName>
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    <creator>
      <creatorName nameType="Personal">Mirjam J.D. Hack-ten Broeke</creatorName>
      <givenName>Mirjam J.D.</givenName>
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    <creator>
      <creatorName nameType="Personal">Maarten van Doorn</creatorName>
      <givenName>Maarten</givenName>
      <familyName>van Doorn</familyName>
      <nameIdentifier nameIdentifierScheme="https://orcid.org/">0000-0001-9197-5687</nameIdentifier>
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    <creator>
      <creatorName>Kees Teuling</creatorName>
      <givenName>Kees</givenName>
      <familyName>Teuling</familyName>
    </creator>
    <creator>
      <creatorName nameType="Personal">Dennis J.J. Walvoort</creatorName>
      <givenName>Dennis J.J.</givenName>
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    <creator>
      <creatorName nameType="Personal">Gerard B.M. Heuvelink</creatorName>
      <givenName>Gerard B.M.</givenName>
      <familyName>Heuvelink</familyName>
      <nameIdentifier nameIdentifierScheme="https://orcid.org/">0000-0003-0959-9358</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Spatially explicit environmental variables at 25m resolution for spatial modelling in the Netherlands</title>
  </titles>
  <publisher>4TU.ResearchData</publisher>
  <publicationYear>2024</publicationYear>
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    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="9614">Soils</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0501">Ecological Applications</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="9609">Land and Water Management</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="9606">Environmental and Natural Resource Evaluation</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="9607">Environmental Policy, Legislation and Standards</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0503">Soil Sciences</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0705">Forestry Sciences</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0602">Ecology</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="2103">Historical Studies</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0403">Geology</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0502">Environmental Science and Management</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="2101">Archaeology</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="9699">Other Environment</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="9605">Ecosystem Assessment and Management</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0701">Agriculture, Land and Farm Management</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="8298">Environmentally Sustainable Plant Production</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="9608">Flora, Fauna and Biodiversity</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0406">Physical Geography and Environmental Geoscience</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="8299">Other Plant Production and Plant Primary Products</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="8201">Forestry</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0703">Crop and Pasture Production</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="0499">Other Earth Sciences</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="04">Earth Sciences</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="07">Agricultural and Veterinary Sciences</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="21">History and Archaeology</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="82">Plant Production and Plant Primary Products</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="06">Biological Sciences</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="05">Environmental Sciences</subject>
    <subject subjectScheme="Australian and New Zealand Standard Research Classification (ANZSRC), 2008" classificationCode="96">Environment</subject>
    <subject>raster</subject>
    <subject>high-resolution</subject>
    <subject>the Netherlands</subject>
    <subject>land use</subject>
    <subject>gridded data</subject>
    <subject>geospatial data</subject>
    <subject>climate</subject>
    <subject>soil</subject>
    <subject>topography</subject>
    <subject>relief</subject>
    <subject>Time: 9000 B.C. (v.Chr) until 2023</subject>
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    <contributor contributorType="Other">
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  <dates>
    <date dateType="Issued">2024-09-16</date>
  </dates>
  <language>en</language>
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    <description descriptionType="Abstract">&lt;p&gt;This dataset contains 206 spatially explicit environmental variables, also termed covariates, at 25m resolution that cover the entire Netherlands (national scale). The raster data are comprised of covariates related to the soil-forming factors (climate, organism/land use/land cover, relief/topography, parent material/geology) for the purpose of using them for digital soil mapping. However, since the covariates cover a wide range of environmental variables, they can potentially be used for spatial modelling in the Netherlands also outside the field of soil science. All covariates can also be found from the original source, but the potential strength and practicality of this dataset lies in the broad range of readily available, collected, prepared and harmonized raster data.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;The metadata of all the covariates in this dataset can be found in the "&lt;span style="color: rgb(0, 0, 0);"&gt;00_covariates_metadata.csv&lt;/span&gt;" file, including information about the names, category, value types, specific value types, type of geospatial data, file type, whether its static or dynamic, temporal coverage, date/version, resolution (all 25m), origin, source, access/license, description, processing steps and comments. The dataset includes 3 different types of files:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;GeoTIFF (.tif): the covariates as raster data at 25m resolution in the &lt;a href="https://epsg.io/28992" target="_blank" style="color: rgb(102, 102, 102);"&gt;EPSG:28992 (Amersfoort / RD New)&lt;/a&gt; spatial projection&lt;/li&gt;&lt;li&gt;Text (.txt): README files for each covariate with additional metadata information (filename ending in "_readme.txt")&lt;/li&gt;&lt;li&gt;Tabular data (.csv): Classification and re-classification table for categorical covariates&lt;span style="background-color: rgb(255, 250, 234);"&gt; (filename ending in "_reclassify.csv")&lt;/span&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="background-color: rgb(255, 250, 234);"&gt;Note that the reclassification tables contain potential ways to reclassify the data provided, but can be altered by the user. Reclassification may be useful for categorical covariates with a large number of classes/categories. Note that covariates with &lt;/span&gt;CC BY-ND 4.0 licenses, covariates that are not open data or for which the license was unknown are not shared in this dataset.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="background-color: rgb(255, 250, 234);"&gt;More information about these covariates can be found in the associated scientific paper "BIS-4D: Mapping soil properties and their uncertainties at 25m resolution in the Netherlands" (Helfenstein et al., 2024, under review). Different ways of pre-processing and preparing the covariates for subsequent modelling can be found in R scripts 20-25 in the associated code repository on &lt;/span&gt;&lt;a href="https://git.wur.nl/helfe001/bis-4d" target="_blank" style="background-color: rgb(255, 250, 234);"&gt;GitLab&lt;/a&gt;&lt;span style="background-color: rgb(255, 250, 234);"&gt;. This includes assembling and preparing covariates using GDAL ("&lt;/span&gt;&lt;a href="https://git.wur.nl/helfe001/bis-4d/-/blob/master/20_cov_prep_gdal.R?ref_type=heads" target="_blank" style="background-color: rgb(255, 250, 234);"&gt;20_cov_prep_gdal.R&lt;/a&gt;&lt;span style="background-color: rgb(255, 250, 234);"&gt;"), computing digital elevation model (DEM) derivatives using SAGA GIS ("&lt;/span&gt;&lt;a href="https://git.wur.nl/helfe001/bis-4d/-/blob/master/21_cov_dem_deriv_saga.R?ref_type=heads" target="_blank" style="background-color: rgb(255, 250, 234);"&gt;21_cov_dem_deriv_saga.R&lt;/a&gt;&lt;span style="background-color: rgb(255, 250, 234);"&gt;"), deriving spectral indices from RGBNIR bands of Sentinel 2 images ("&lt;/span&gt;&lt;a href="https://git.wur.nl/helfe001/bis-4d/-/blob/master/22_cov_sensing_deriv.R?ref_type=heads" target="_blank" style="background-color: rgb(255, 250, 234);"&gt;22_cov_sensing_deriv.R&lt;/a&gt;&lt;span style="background-color: rgb(255, 250, 234);"&gt;"), preparing categorical covariates using GDAL ("&lt;/span&gt;&lt;a href="https://git.wur.nl/helfe001/bis-4d/-/blob/master/23_cov_cat_recl_gdal.R?ref_type=heads" target="_blank" style="background-color: rgb(255, 250, 234);"&gt;23_cov_cat_recl_gdal.R&lt;/a&gt;&lt;span style="background-color: rgb(255, 250, 234);"&gt;"), deriving dynamic covariates ("&lt;/span&gt;&lt;a href="https://git.wur.nl/helfe001/bis-4d/-/blob/master/24_cov_dyn_prep_gdal.R?ref_type=heads" target="_blank" style="background-color: rgb(255, 250, 234);"&gt;24_cov_dyn_prep_gdal.R&lt;/a&gt;&lt;span style="background-color: rgb(255, 250, 234);"&gt;") and exploratory analysis of the covariates ("&lt;/span&gt;&lt;a href="https://git.wur.nl/helfe001/bis-4d/-/blob/master/25_cov_expl_analysis_clorpt.Rmd?ref_type=heads" target="_blank" style="background-color: rgb(255, 250, 234);"&gt;25_cov_expl_analysis_clorpt.Rmd&lt;/a&gt;&lt;span style="background-color: rgb(255, 250, 234);"&gt;", "&lt;/span&gt;&lt;a href="https://git.wur.nl/helfe001/bis-4d/-/blob/master/25_cov_expl_analysis_cont_cat.Rmd?ref_type=heads" target="_blank" style="background-color: rgb(255, 250, 234);"&gt;25_cov_expl_analysis_cont_cat.Rmd&lt;/a&gt;&lt;span style="background-color: rgb(255, 250, 234);"&gt;").&lt;/span&gt;&lt;/p&gt;</description>
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