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    <identifier>10.57760/sciencedb.07264</identifier>
    <datestamp>2023-02-16T16:23:52Z</datestamp>
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  <dc:date>2023-02-16</dc:date>
  <dc:title>A global streamflow indices time series dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.07264</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This new time series dataset on global streamflow indices is calculated from daily streamflow records after data quality control and includes 79 indices over seven components of streamflow regime (i.e., magnitude, frequency, duration, changing rate, timing, variability, and recession) of 5548 river reaches globally. The indices time series in the dataset are available until 2021, the lengths of which vary from 30 to 215 years with an average of around 66 years.&amp;nbsp;Restricted-access streamflow data of typical river basins in China are included in the dataset. Compared to existing global datasets, this global dataset covers more indices, especially indices characterizing the frequency, duration, changing rate, and recession of streamflow regime. With the dataset, research on streamflow regime will become easier without spending time handling raw streamflow records. This comprehensive dataset will be a valuable resource to the hydrology community to facilitate a wide range of studies, such as studies of hydrological behaviour of a catchment, streamflow regime prediction in data-scarce regions, as well as variations in streamflow regime from a global perspective.&amp;nbsp;</dc:description>
  <dc:subject>streamflow regime; magnitude; frequency; duration; changing rate; timing; variability; recession; large sample; signature</dc:subject>
  <dc:creator>Xinyu Chen</dc:creator>
  <dc:creator>Liguang Jiang</dc:creator>
  <dc:creator>Yuning Luo</dc:creator>
  <dc:creator>Junguo Liu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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