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    <identifier>10.57760/sciencedb.19991</identifier>
    <datestamp>2025-01-26T20:01:51Z</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>2025-01-26</dc:date>
  <dc:title>ASTEN: Global 1&amp;deg;x 1&amp;deg; Monthly Ocean Subsurface Temperature Dataset (1960-2022) Generated by Spatio-Temporal Interpolation</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.19991</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This product is a global ocean subsurface (5-1000 m) temperature dataset (ASTEN) reconstructed from 1960 to 2022 using spatio-temporal interpolation. The vertical interpolation and spatio-temporal interpolation in horizontal space were performed using ocean in-situ observation data after CODCv1 quality control. The high accuracy of the reconstruction is demonstrated by the independent validation set. Furthermore, our reconstructed temperature dataset has a good consistency in comparison with the international IAPv4, EN4 analyses, and ORAS5 model data, with a significant ocean warming trend.</dc:description>
  <dc:subject>subsurface temperature; ocean warming; global climate change; time series change</dc:subject>
  <dc:creator>Hua Su</dc:creator>
  <dc:creator>An Wang</dc:creator>
  <dc:creator>Feiyan Zhang</dc:creator>
  <dc:creator>Jianchen Teng</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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