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    <responseDate>2026-10-14T13:02:42Z</responseDate>
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    <identifier>10.57760/sciencedb.43133</identifier>
    <datestamp>2026-07-28T14:37:47Z</datestamp>
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  <dc:date>2026-07-28</dc:date>
  <dc:title>Seasonal water storage change of global lakes and reservoirs</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.43133</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The datasets, provided in the files lake.csv and reservoir.csv, are the associated data for the research paper titled &amp;quot;Satellites reveal contrasting seasonal buffering patterns of global lakes and reservoirs&amp;quot; (DOI: 10.1016/j.scib.2026.06.024). It provides data on the seasonal water storage (SWS) variations of global lakes and reservoirs with a surface area greater than 1 km&amp;sup2;. The SWS variations were estimated using multi-source remote sensing techniques; detailed information regarding the production methodology can be found in the associated paper. The provided table includes the latitude and longitude coordinates of the lakes and reservoirs, along with their corresponding SWS remote sensing estimates. The datasets can be easily opened, viewed, and analyzed using standard statistical software or Geographic Information System (GIS) tools.</dc:description>
  <dc:subject>lake; reservoir; seasonal water storage change</dc:subject>
  <dc:creator>Tan Chen</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:relation>http://www.doi.org/10.1016/j.scib.2026.06.024</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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