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2026
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| Online Access: | https://doi.org/10.5281/zenodo.19614207 |
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| _version_ | 1866901852821389312 |
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| author | Schönberger, Daniel |
| author_facet | Schönberger, Daniel |
| contents | <p>This dataset contains 11 regional ZIP archives of soil raster subsets derived from the global soil layers represented as a 9-layer environmental predictor set derived from SoilGrids (https://isric.org/explore/soilgrids) at 30 arc-second resolution, using mean values for the 0–5 cm soil depth interval. The original global rasters were obtained with the <code>geodata</code> package and stored as individual GeoTIFF files.</p> <p>The included soil variables are: Bulk density, Coarse fragments volume, Clay fraction, Nitrogen content, Organic carbon density, pH in H2O, Sand fraction, Silt fraction, and Soil organic carbon. In the source workflow, these correspond to the following raster file names and source variable codes: <code>soil_bdod.tif</code>, <code>soil_cfvo.tif</code>, <code>soil_clay.tif</code>, <code>soil_nitrogen.tif</code>, <code>soil_ocd.tif</code>, <code>soil_phh2o.tif</code>, <code>soil_sand.tif</code>, <code>soil_silt.tif</code>, and <code>soil_soc.tif</code>.</p> <p>The upload is organized into 11 regional archives: Europe, Asia, North America, South America, Africa, Australia, Indo-Pacific, Eurasia, Holarctic, New World, and Old World. Each ZIP archive contains 9 GeoTIFF layers, one for each soil variable. These regional subsets were created by cropping the global soil rasters to predefined continental and combined biogeographic extents so that users can download only the subset relevant to their study area rather than the full global layers.</p> <p><strong>Spatial reference system</strong><br>Geographic longitude/latitude coordinates in decimal degrees, with cropping extents defined in decimal degrees.</p> <p><strong>Regional extents used for cropping</strong><br>Europe: xmin = -26, xmax = 65, ymin = 34, ymax = 83.<br>Asia: xmin = 21, xmax = 180, ymin = -13, ymax = 84; plus xmin = -180, xmax = -168, ymin = 50, ymax = 75.<br>North America: xmin = -180, xmax = -10, ymin = 5, ymax = 85.<br>South America: xmin = -92, xmax = -30, ymin = -56, ymax = 15.<br>Africa: xmin = -26, xmax = 57, ymin = -36, ymax = 39.<br>Australia: xmin = 90, xmax = 180, ymin = -56, ymax = 25; plus xmin = -180, xmax = -170, ymin = -56, ymax = 25.<br>Indo-Pacific = Asia + Australia.<br>Eurasia = Europe + Asia.<br>Holarctic = Europe + Asia + North America.<br>New World = North America + South America.<br>Old World = Europe + Africa + Asia + Australia.</p> <p>These files are intended for environmental data extraction, ecological niche modeling, species distribution modeling, macroecological analyses, and related spatial workflows requiring consistent soil predictors across continental and broad biogeographic regions. The regional ZIP structure makes the dataset easier to distribute, archive, and reuse in analyses that do not require the full global raster set.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19614207 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Soil variable rasters (SoilGrids) - continental subsets Schönberger, Daniel <p>This dataset contains 11 regional ZIP archives of soil raster subsets derived from the global soil layers represented as a 9-layer environmental predictor set derived from SoilGrids (https://isric.org/explore/soilgrids) at 30 arc-second resolution, using mean values for the 0–5 cm soil depth interval. The original global rasters were obtained with the <code>geodata</code> package and stored as individual GeoTIFF files.</p> <p>The included soil variables are: Bulk density, Coarse fragments volume, Clay fraction, Nitrogen content, Organic carbon density, pH in H2O, Sand fraction, Silt fraction, and Soil organic carbon. In the source workflow, these correspond to the following raster file names and source variable codes: <code>soil_bdod.tif</code>, <code>soil_cfvo.tif</code>, <code>soil_clay.tif</code>, <code>soil_nitrogen.tif</code>, <code>soil_ocd.tif</code>, <code>soil_phh2o.tif</code>, <code>soil_sand.tif</code>, <code>soil_silt.tif</code>, and <code>soil_soc.tif</code>.</p> <p>The upload is organized into 11 regional archives: Europe, Asia, North America, South America, Africa, Australia, Indo-Pacific, Eurasia, Holarctic, New World, and Old World. Each ZIP archive contains 9 GeoTIFF layers, one for each soil variable. These regional subsets were created by cropping the global soil rasters to predefined continental and combined biogeographic extents so that users can download only the subset relevant to their study area rather than the full global layers.</p> <p><strong>Spatial reference system</strong><br>Geographic longitude/latitude coordinates in decimal degrees, with cropping extents defined in decimal degrees.</p> <p><strong>Regional extents used for cropping</strong><br>Europe: xmin = -26, xmax = 65, ymin = 34, ymax = 83.<br>Asia: xmin = 21, xmax = 180, ymin = -13, ymax = 84; plus xmin = -180, xmax = -168, ymin = 50, ymax = 75.<br>North America: xmin = -180, xmax = -10, ymin = 5, ymax = 85.<br>South America: xmin = -92, xmax = -30, ymin = -56, ymax = 15.<br>Africa: xmin = -26, xmax = 57, ymin = -36, ymax = 39.<br>Australia: xmin = 90, xmax = 180, ymin = -56, ymax = 25; plus xmin = -180, xmax = -170, ymin = -56, ymax = 25.<br>Indo-Pacific = Asia + Australia.<br>Eurasia = Europe + Asia.<br>Holarctic = Europe + Asia + North America.<br>New World = North America + South America.<br>Old World = Europe + Africa + Asia + Australia.</p> <p>These files are intended for environmental data extraction, ecological niche modeling, species distribution modeling, macroecological analyses, and related spatial workflows requiring consistent soil predictors across continental and broad biogeographic regions. The regional ZIP structure makes the dataset easier to distribute, archive, and reuse in analyses that do not require the full global raster set.</p> |
| title | Soil variable rasters (SoilGrids) - continental subsets |
| url | https://doi.org/10.5281/zenodo.19614207 |