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    <responseDate>2026-10-14T21:36:50Z</responseDate>
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    <identifier>10.57760/sciencedb.IGA.01196</identifier>
    <datestamp>2026-03-06T15:49:17Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-03-06</dc:date>
  <dc:title>10m Spatial Resolution Farmland Soil Organic Carbon Dataset in the Black Soil Region of Northeast China(2021)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.iga.01196</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>With the support of remote sensing big data and cloud computing platform (Google Earth Engine), a method for rapid mapping of cultivated land SOC content at a large scale was developed in collaboration with Sentinel-2 remote sensing images and environmental variables. The first set of 10 meter spatial resolution cultivated land SOC content spatial distribution maps in Northeast China's black soil region was constructed. In the original text, it refers to soil organic matter (SOM). To be consistent with international standards, the author has converted the dataset to SOC (SOM divided by 1.724). In addition, due to the large amount of floating-point data, this dataset multiplies SOC data by 100 and then integers it. Please convert it before use.</dc:description>
  <dc:subject>Black Soil Region of Northeast; Farmland Soil Organic Carbon; 2021</dc:subject>
  <dc:creator>罗冲</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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