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    <identifier>10.11922/sciencedb.j00115.00001</identifier>
    <datestamp>2021-10-21T11:24:08Z</datestamp>
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  <dc:date>2021-10-21</dc:date>
  <dc:title>Reprocessing data of sea level anomaly of aviso altimeter from 1993 to 2019</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.j00115.00001</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Download the sea level anomaly data from aviso website from January 1, 1993 to December 31, 2019, and divide it into training set, verification set and test set. Each data set contains several sub data sets with different time series lengths. Each sub data set is the daily sea level anomaly data, and the file format is .npz, The format file is read using Python's numpy package.</dc:description>
  <dc:subject>aviso; sea level anomaly; reprocessing</dc:subject>
  <dc:creator>LIU SHUANG</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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