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    <identifier>10.57760/sciencedb.12691</identifier>
    <datestamp>2023-10-26T10:27:57Z</datestamp>
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  <dc:date>2023-10-26</dc:date>
  <dc:title>Time Series Decomposition of Carbon Emission Data in Chinese Cities（2019-2022）</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.12691</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is the results of time series decomposition of CO2 emissions from 31 cities in China from 2019 to 2022. Raw data were generated at https://carbonmonitor-graced.com/. The method used is STL(Seasonal-Trend decomposition based on LOESS) and implemented in the R software (version 4.2.1). This data is time accurate in months and include CO2 emissions from Total, Power and Industry sectors(Harbin and Xining only have data from Total sector due to missing data).</dc:description>
  <dc:subject>Time Series Decomposition; STL; CO2 Emission</dc:subject>
  <dc:creator>赵越</dc:creator>
  <dc:creator>冯雨宁</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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