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    <responseDate>2026-10-14T15:06:26Z</responseDate>
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    <identifier>10.57760/sciencedb.IGA.001e8</identifier>
    <datestamp>2026-09-15T13:24:15Z</datestamp>
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  <dc:date>2026-09-15</dc:date>
  <dc:title>XDA28050103 - Intellectual Property Data</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.iga.001e8</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is a collection of PDF electronic documents archived in a single folder, containing no observation-based numerical data. It consists entirely of copies of intellectual property (IP) achievement materials produced by the project, comprising three categories&amp;mdash;academic papers, published patent application texts, and software copyright documents&amp;mdash;with a total of 11 PDF files. The dataset has no quantitative accuracy indicators such as pixel size or sampling parameters. The documents focus on space-based remote sensing monitoring of black soil in Northeast China, covering technical fields including payload parameter simulation, soil organic matter retrieval, satellite platform control, and remote sensing simulation system development. The dataset serves the archival of IP achievements of the &amp;quot;Black Soil Granary&amp;quot; special program, completely preserving the textual materials of the papers, patents, and software copyrights generated by the project research.</dc:description>
  <dc:subject>Academic paper; Patent; Software copyright</dc:subject>
  <dc:creator>高爽</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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