{"@context":{"@language":"en","@vocab":"https://schema.org/","citeAs":"cr:citeAs","column":"cr:column","conformsTo":"dct:conformsTo","cr":"http://mlcommons.org/croissant/","rai":"http://mlcommons.org/croissant/RAI/","data":{"@id":"cr:data","@type":"@json"},"dataType":{"@id":"cr:dataType","@type":"@vocab"},"dct":"http://purl.org/dc/terms/","examples":{"@id":"cr:examples","@type":"@json"},"extract":"cr:extract","field":"cr:field","fileProperty":"cr:fileProperty","fileObject":"cr:fileObject","fileSet":"cr:fileSet","format":"cr:format","includes":"cr:includes","isLiveDataset":"cr:isLiveDataset","jsonPath":"cr:jsonPath","key":"cr:key","md5":"cr:md5","parentField":"cr:parentField","path":"cr:path","recordSet":"cr:recordSet","references":"cr:references","regex":"cr:regex","repeated":"cr:repeated","replace":"cr:replace","sc":"https://schema.org/","separator":"cr:separator","source":"cr:source","subField":"cr:subField","transform":"cr:transform","wd":"https://www.wikidata.org/wiki/"},"@type":"sc:Dataset","conformsTo":"http://mlcommons.org/croissant/1.0","name":"Global land 1° mapping XCO2 dataset using satellite observations of GOSAT and OCO-2 from 2009 to 2020","url":"https://doi.org/10.7910/DVN/4WDTD8","creator":[{"@type":"Person","givenName":"Mengya","familyName":"Sheng","affiliation":{"@type":"Organization","name":"Aerospace Information Research Institute,Chinese Academy of Sciences"},"sameAs":"https://orcid.org/0000-0001-8261-621X","@id":"https://orcid.org/0000-0001-8261-621X","identifier":"https://orcid.org/0000-0001-8261-621X","name":"Sheng, Mengya"},{"@type":"Person","givenName":"Liping","familyName":"Lei","affiliation":{"@type":"Organization","name":"Aerospace Information Research Institute,Chinese Academy of Sciences"},"name":"Lei, Liping"},{"@type":"Person","givenName":"Zhao-Cheng","familyName":"Zeng","affiliation":{"@type":"Organization","name":"Division of Geological and Planetary Sciences, California Institute of Technology"},"sameAs":"https://orcid.org/0000-0002-0008-6508","@id":"https://orcid.org/0000-0002-0008-6508","identifier":"https://orcid.org/0000-0002-0008-6508","name":"Zeng, Zhao-Cheng"},{"@type":"Person","affiliation":{"@type":"Organization","name":"Aerospace Information Research Institute,Chinese Academy of Sciences"},"sameAs":"https://orcid.org/0000-0002-1577-6165","@id":"https://orcid.org/0000-0002-1577-6165","identifier":"https://orcid.org/0000-0002-1577-6165","name":"Weiqiang Rao"},{"@type":"Person","givenName":"Hao","familyName":"Song","affiliation":{"@type":"Organization","name":"China University of Geosciences, Beijing"},"name":"Hao Song"},{"@type":"Person","givenName":"Changjiang","familyName":"Wu","affiliation":{"@type":"Organization","name":"Aerospace Information Research Institute,Chinese Academy of Sciences"},"name":"Wu, Changjiang"}],"description":"The global 1° land mapping XCO2 dataset (Mapping-XCO2) is derived from satellite XCO2 retrievals of GOSAT and OCO-2 spanning the period of April 2009 to December 2020. The data product is provided in GeoTIFF format and include two temporal resolutions: 3 days and month. The 3-day data files include gridded XCO2 and mapping uncertainty, which are named like “MappingXCO2_Date.nc” and “MappingUncertainty_Date.nc”. The flag “Date” is defined as date ID of 1426 time-units started from 20 April 2009. The monthly data files only include XCO2 data and named like “MappingXCO2_YYYY_MM.tif”. The number of “YYYY” and “MM” represent year and month, respectively. The domain of the dataset covers global land ranging from 56° S to 65° N and 169° W to 180° E. The spatial reference of the dataset is Geographic Lat/Lon. The unit of XCO2 data is ppm while the nodata values were assigned to NaN.","keywords":["Earth and Environmental Sciences"],"license":"http://creativecommons.org/publicdomain/zero/1.0","datePublished":"2021-03-26","dateModified":"2021-08-17","includedInDataCatalog":{"@type":"DataCatalog","name":"Harvard Dataverse","url":"https://dataverse.harvard.edu"},"publisher":{"@type":"Organization","name":"Harvard Dataverse"},"version":"4.0","citeAs":"@data{DVN/4WDTD8_2021,author = {Sheng, Mengya and Lei, Liping and Zeng, Zhao-Cheng and Weiqiang Rao and Hao Song and Wu, Changjiang},publisher = {Harvard Dataverse},title = {Global land 1° mapping XCO2 dataset using satellite observations of GOSAT and OCO-2 from 2009 to 2020},year = {2021},url = {https://doi.org/10.7910/DVN/4WDTD8}}","funder":[{"@type":"Organization","name":"The National Key Research and Development Program of China"},{"@type":"Organization","name":"The National Key Research and Development Program of China"}],"citation":[{"@type":"CreativeWork","name":"Zeng, Z.C.; Lei, L.; Hou, S.; Ru, F.; Guan, X.; Zhang, B. A Regional Gap-Filling Method Based on Spatiotemporal Variogram Model of Columns. IEEE Trans. Geosci. Remote Sens. 2014, 52, 3594–3603."},{"@type":"CreativeWork","name":"Guo, L.J.; Lei, L.P.; Zeng, Z.C.; Zou, P.F.; Liu, D.; Zhang, B. Evaluation of Spatio-Temporal Variogram Models for Mapping XCO2 Using Satellite Observations: A Case Study in China. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 2015, 8, 376–385."},{"@type":"CreativeWork","name":"Zeng, Z.C.; Lei, L.; Strong, K.; Jones, D.B.A.; Guo, L.; Liu, M.; Deng, F.; Deutscher, N.M.; Dubey, M.K.; Griffith, D.W.T.; et al. Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics. Int. J. Digit. Earth 2017, 10, 426–456."},{"@type":"CreativeWork","name":"He, Z.; Lei, L.; Welp, L.R.; Zeng, Z.C.; Bie, N.; Yang, S.; Liu, L. Detection of Spatiotemporal Extreme Changes in Atmospheric CO2 Concentration Based on Satellite Observations. Remote Sens. 2018, 10, 839."},{"@type":"CreativeWork","name":"He, Z.; Lei, L.; Zhang, Y.; Sheng, M.; Wu, C.; Li, L.; Zeng, Z.-C.; Welp, L.R. Spatio-Temporal Mapping of Multi-Satellite Observed Column Atmospheric CO2 Using Precision-Weighted Kriging Method. Remote Sens. 2020, 12, 576."},{"@type":"CreativeWork","name":"He, Z.; Lei, L.; Zeng, Z.C.; Sheng, M.; Welp, L.R. Evidence of Carbon Uptake Associated with Vegetation Greening Trends in Eastern China. Remote Sens. 2020, 12, 718."}],"temporalCoverage":["2009-04/2020-12"],"distribution":[{"@type":"cr:FileObject","@id":"MappingXCO2_3days/MappingXCO2_3days.rar","name":"MappingXCO2_3days.rar","encodingFormat":"application/x-rar-compressed","md5":"b745c15aff716b5088d3a58f459ea47f","contentSize":"311796223","description":"","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/4986575"},{"@type":"cr:FileObject","@id":"MappingXCO2_month/MappingXCO2_month.rar","name":"MappingXCO2_month.rar","encodingFormat":"application/x-rar-compressed","md5":"a3150ba125743507b9405ede7073c5a1","contentSize":"14768917","description":"","contentUrl":"https://dataverse.harvard.edu/api/access/datafile/4986574"}]}