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    <identifier>10.57760/sciencedb.j00001.01116</identifier>
    <datestamp>2025-02-17T11:16:40Z</datestamp>
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  <dc:date>2025-02-17</dc:date>
  <dc:title>A 30m/5d GPP dataset for Hulunbuir, China (2023)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00001.01116</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset was generated based on EC-LUE model using harmolized Landsat-Sentinel-2 dataset(HLS) and ERA5-Land dataset. First, the Savitzky-Golay filter was applied to reconstruct time-series Normalized Difference Vegetation Index (NDVI) data with a spatial resolution of 30m and a temporal resolution of 5 days. Then, climate parameters were calculated based on ERA5-Land data. Finally, we computed GPP using EC-LUE model. This dataset contains a total of 49 GeoTiff files, including Hulunbeier's March-October 2023 GPP data with a spatial resolution of 30m and a temporal resolution of 5 days.&amp;nbsp;</dc:description>
  <dc:subject>Gross Primary Productivity; Grassland; Hulunbuir; EC-LUE</dc:subject>
  <dc:creator>Liu Jia</dc:creator>
  <dc:creator>Lu Wei</dc:creator>
  <dc:creator>Cui Chenxi</dc:creator>
  <dc:creator>Hu Yunfeng</dc:creator>
  <dc:creator>Li Hao</dc:creator>
  <dc:creator>Hu Lizhi</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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