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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        <foaf:name>Tomislav Hengl</foaf:name>
            <foaf:name>EnvirometriX Ltd</foaf:name>
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        <foaf:name>Ichsani Wheeler</foaf:name>
            <foaf:name>EnvirometriX Ltd</foaf:name>
    <dct:title>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</dct:title>
    <dct:issued rdf:datatype="">2018</dct:issued>
    <dcat:keyword>soil carbon</dcat:keyword>
    <dct:issued rdf:datatype="">2018-12-24</dct:issued>
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    <dct:description>&lt;p&gt;Soil organic carbon stock in kg/m&lt;sup&gt;2&lt;/sup&gt; for 5 standard depth intervals (0&amp;ndash;10, 10&amp;ndash;30, 30&amp;ndash;60, 60&amp;ndash;100 and 100&amp;ndash;200 cm) at 250 m resolution. To convert to t/ha multiply by 10.&amp;nbsp;Derived using soil organic carbon content (&lt;a href=""&gt;;/a&gt;), bulk density (&lt;a href=""&gt;;/a&gt;) and coarse fragments (&lt;a href=""&gt;;/a&gt;), predicted from point data at 6 standard depths. Depth to bed rock has been ignored, hence total stocks might be about 10&amp;ndash;15% lower then reported.&amp;nbsp;Processing steps are described in detail &lt;strong&gt;&lt;a href=""&gt;here&lt;/a&gt;&lt;/strong&gt;. Antartica is not included.&lt;/p&gt; &lt;p&gt;To access and visualize maps use:&amp;nbsp;&lt;a href=""&gt;&lt;strong&gt;;/strong&gt;&lt;/a&gt;&lt;/p&gt; &lt;p&gt;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:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Technical issues and questions about the code:&amp;nbsp;&lt;a href=""&gt;;/a&gt;&amp;nbsp;&lt;/li&gt; &lt;li&gt;General questions and comments:&amp;nbsp;&lt;a href=""&gt;;/a&gt;&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;All files internally compressed using &amp;quot;COMPRESS=DEFLATE&amp;quot; creation&amp;nbsp;option in GDAL. File naming convention:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;sol = theme: soil,&lt;/li&gt; &lt;li&gt;organic.carbon.stock = variable: soil organic carbon stock in kg/m2,&lt;/li&gt; &lt;li&gt;msa.kgm2 = determination method: derived from organic carbon content, bulk density and coarse fragments,&lt;/li&gt; &lt;li&gt;m = mean value,&lt;/li&gt; &lt;li&gt;250m = spatial resolution / block support: 250 m,&lt;/li&gt; &lt;li&gt;b0..10cm = vertical reference: 0-10 cm layer below surface,&lt;/li&gt; &lt;li&gt;1950..2017 = time reference: period 1950-2017,&lt;/li&gt; &lt;li&gt;v0.2 = version number: 0.2,&lt;/li&gt; &lt;/ul&gt;</dct:description>
    <dct:description xml:lang="">{"references": ["Sanderman, J., Hengl, T., Fiske, G., (2017). The soil carbon debt of 12,000 years of human land use. PNAS,", "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.", "Hengl, T., MacMillan, R.A., (2019). Predictive Soil Mapping with R. OpenGeoHub foundation, Wageningen, the Netherlands, 370 pages,, ISBN: 978-0-359-30635-0."]}</dct:description>
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            <rdfs:label>Creative Commons Attribution Share Alike 4.0 International</rdfs:label>
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