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                <identifier>oai:data.mendeley.com/xpmtw4xrw9.1</identifier>
                <datestamp>2025-02-26T10:52:44Z</datestamp>
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    <dc:creator>Zeng, Zhaoliang</dc:creator>
    <dc:title>China XCO2 seamless daily data set</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>Based on the observed values of OCO-2 XCO2 concentration, meteorological, vegetation, terrain and other variables, the 0.05° high-precision seamless daily XCO2 dataset in China from January 1, 2015 to March 31, 2024 was constructed by using the XGBoost model through multi-source data fusion.The results of model cross-validation (R²= 0.984, RMSE=0.894ppm) and ground station auxiliary validation (R²=0.912, RMSE= 1.720ppm) indicate that the data set constructed in this study has better accuracy and is an effective supplement to the existing observational data sets of XCO2 concentration.</dc:description>
    <dc:subject>Remote Sensing</dc:subject>
    <dc:subject>Atmospheric Gas</dc:subject>
    <dc:contributor>Wang, Yaqiang</dc:contributor>
    <dc:contributor>Gui, Ke</dc:contributor>
    <dc:contributor>Xie, Peng</dc:contributor>
    <dc:contributor>Liu, Zhaohua</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/xpmtw4xrw9.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/xpmtw4xrw9.1</dc:identifier>
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    <dc:date>2025-02-26T10:52:44Z</dc:date>
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