Dataset Open Access

Soil organic carbon stock in kg/m2 for 5 standard depth intervals (0–10, 10–30, 30–60, 60–100 and 100–200 cm) at 250 m resolution

Tomislav Hengl; Ichsani Wheeler


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    "description": "<p>Soil organic carbon stock in kg/m<sup>2</sup> for 5 standard depth intervals (0&ndash;10, 10&ndash;30, 30&ndash;60, 60&ndash;100 and 100&ndash;200 cm) at 250 m resolution. To convert to t/ha multiply by 10.&nbsp;Derived using soil organic carbon content (<a href=\"https://doi.org/10.5281/zenodo.1475457\">https://doi.org/10.5281/zenodo.1475457</a>), bulk density (<a href=\"https://doi.org/10.5281/zenodo.1475970\">https://doi.org/10.5281/zenodo.1475970</a>) and coarse fragments (<a href=\"https://doi.org/10.5281/zenodo.2525681\">https://doi.org/10.5281/zenodo.2525681</a>), predicted from point data at 6 standard depths. Depth to bed rock has been ignored, hence total stocks might be about 10&ndash;15% lower then reported.&nbsp;Processing steps are described in detail <strong><a href=\"https://github.com/Envirometrix/LandGISmaps/tree/master/soil\">here</a></strong>. Antartica is not included.</p>\n\n<p>To access and visualize maps use:&nbsp;<strong><a href=\"https://landgis.opengeohub.org\">https://landgis.opengeohub.org</a></strong></p>\n\n<p>If you discover a bug, artifact or inconsistency in the LandGIS maps, or if you have a question please use some of the following channels:</p>\n\n<ul>\n\t<li>Technical issues and questions about the code:&nbsp;<a href=\"https://github.com/Envirometrix/LandGISmaps/issues\">https://github.com/Envirometrix/LandGISmaps/issues</a>&nbsp;</li>\n\t<li>General questions and comments:&nbsp;<a href=\"https://disqus.com/home/forums/landgis/\">https://disqus.com/home/forums/landgis/</a></li>\n</ul>\n\n<p>All files internally compressed using &quot;COMPRESS=DEFLATE&quot; creation&nbsp;option in GDAL. File naming convention:</p>\n\n<ul>\n\t<li>sol = theme: soil,</li>\n\t<li>organic.carbon.stock = variable: soil organic carbon stock in kg/m2,</li>\n\t<li>msa.kgm2 = determination method: derived from organic carbon content, bulk density and coarse fragments,</li>\n\t<li>m = mean value,</li>\n\t<li>250m = spatial resolution / block support: 250 m,</li>\n\t<li>b0..10cm = vertical reference: 0-10 cm layer below surface,</li>\n\t<li>1950..2017 = time reference: period 1950-2017,</li>\n\t<li>v0.2 = version number: 0.2,</li>\n</ul>", 
    "license": {
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    "title": "Soil organic carbon stock in kg/m2 for 5 standard depth intervals (0\u201310, 10\u201330, 30\u201360, 60\u2013100 and 100\u2013200 cm) at 250 m resolution", 
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    "references": [
      "Sanderman, J., Hengl, T., Fiske, G., (2017). The soil carbon debt of 12,000 years of human land use. PNAS, https://dx.doi.org/10.1073/pnas.1706103114", 
      "Hengl, T., de Jesus, J.M., Heuvelink, G.B., Gonzalez, M.R., Kilibarda, M., Blagoti\u0107, A., Shangguan, W., Wright, M.N., Geng, X., Bauer-Marschallinger, B. and Guevara, M.A., (2017). SoilGrids250m: Global gridded soil information based on machine learning. PLoS one, 12(2), p.e0169748. https://doi.org/10.1371/journal.pone.0169748", 
      "Hengl, T., MacMillan, R.A., (2019). Predictive Soil Mapping with R. OpenGeoHub foundation, Wageningen, the Netherlands, 370 pages, www.soilmapper.org, ISBN: 978-0-359-30635-0."
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    "keywords": [
      "LandGIS", 
      "soil carbon"
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    "publication_date": "2018-12-24", 
    "creators": [
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        "orcid": "0000-0002-9921-5129", 
        "affiliation": "EnvirometriX Ltd", 
        "name": "Tomislav Hengl"
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