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    <identifier>10.11922/sciencedb.923</identifier>
    <datestamp>2020-06-22T15:50:15Z</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>2020-06-22</dc:date>
  <dc:title>Constructing dataset of classified drainage areas based on surface water-supply patterns in High Mountain Asia</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.923</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The High Mountain Asia (HMA) region is a geographical unit, holds&amp;nbsp;the largest reservoir of glaciers and snow outside Earth poles. Four datasets were thus obtained: Glacier- and Stream-fed Drainage Area (GSDA), Glacier-fed and stream-free Drainage Area(GDA), glacier-free and Stream-fed Drainage Area(SDA), and the Glacier- and Stream-free Drainage Area (NGSDA), with the numbers of 87, 107, 32, and 448 separately. The statistical results show GSDA has the largest surface area, accounting for 82.2% of the total basin area in HMA, mainly in the region of the outflow basin. Dominated by small basins, the GDA area accounts for the smallest surface area, only 3.86% of the total, the SDA accounts for 5.62%. For NGSDA, most of these are with small areas, accounting for 8.32%, and mainly distributes in the inflow basin of the Qiangtang Plateau.</dc:description>
  <dc:subject>High Asia;  water resources;  glacier supply;  watershed classification;  surface water system</dc:subject>
  <dc:creator>Yubao Qiu</dc:creator>
  <dc:creator>Jieyu Lu</dc:creator>
  <dc:creator>Xingxing Wang</dc:creator>
  <dc:creator>Massimo Menenti</dc:creator>
  <dc:creator>Dongshui Zhang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1080/20964471.2020.1766180</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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