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    <responseDate>2026-10-13T00:50:23Z</responseDate>
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    <identifier>10.57760/sciencedb.30442</identifier>
    <datestamp>2026-01-12T17:36:16Z</datestamp>
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  <dc:date>2026-01-12</dc:date>
  <dc:title>A long-term and high-resolution hourly downward surface solar radiation dataset in China using a Transformer-based deep learning model (2005-2023)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.30442</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This hourly full coverage downward surface solar radiation dataset at&amp;nbsp;0.1&amp;deg;&amp;thinsp;&amp;times;&amp;thinsp;0.1&amp;deg;&amp;nbsp;resolution in China during 2005&amp;ndash;2023 was generated using multi-source data (e.g., ground-based measurements, ERA5 reanalysis datasets, satellite products, etc.) through a Transformer-based deep learning model.</dc:description>
  <dc:subject>multi-source data; deep learning; downward surface solar radiation</dc:subject>
  <dc:creator>Jiaxin Zhang</dc:creator>
  <dc:creator>Lili Wang</dc:creator>
  <dc:creator>Lei Zhang</dc:creator>
  <dc:creator>Bo Hu</dc:creator>
  <dc:creator>Wupeng Du</dc:creator>
  <dc:creator>Minghui Tao</dc:creator>
  <dc:creator>Tao Qin</dc:creator>
  <dc:creator>Xin Jin</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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