{"data":{"id":"10.5281/zenodo.3539349","type":"dois","attributes":{"doi":"10.5281/zenodo.3539349","prefix":"10.5281","suffix":"zenodo.3539349","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Wei, Jing","nameType":"Personal","givenName":"Jing","familyName":"Wei","affiliation":["University of Maryland, College Park"],"nameIdentifiers":[{"nameIdentifier":"0000-0002-8803-7056","nameIdentifierScheme":"ORCID"}]},{"name":"Li, Zhanqing","nameType":"Personal","givenName":"Zhanqing","familyName":"Li","affiliation":["University of Maryland, College Park"],"nameIdentifiers":[{"nameIdentifier":"0000-0001-6737-382X","nameIdentifierScheme":"ORCID"}]}],"titles":[{"title":"ChinaHighPM₂.₅: Daily Seamless 1 km Ground-Level PM₂.₅ Dataset for China (2000–Present)"}],"publisher":"Zenodo","container":{},"publicationYear":2019,"subjects":[{"subject":"CHAP"},{"subject":"ChinaHighPM2.5"},{"subject":"1 km"},{"subject":"Big Data"},{"subject":"Artificial intelligence"}],"contributors":[],"dates":[{"date":"2019-11-12","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.4660858","relatedIdentifierType":"DOI"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.6398971","relatedIdentifierType":"DOI"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.3539350","relatedIdentifierType":"DOI"},{"relationType":"HasVersion","relatedIdentifier":"10.5281/zenodo.3753614","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"4","rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"ChinaHighPM2.5 is part of a series of long-term, seamless, high-resolution, and high-quality datasets of air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data sources (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence, taking into account the spatiotemporal heterogeneity of air pollution.\n\nHere is the big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 1 km (i.e., D1K, M1K, and Y1K) ground-level PM2.5 dataset for China from 2000 to the present. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.92, a root-mean-square error (RMSE) of 10.76 µg m-3, and a mean absolute error (MAE) of 6.32 µg m-3 on a daily basis.\n\nIf you use the ChinaHighPM2.5 dataset in your scientific research, please cite the following references (Wei et al., RSE, 2021; Wei et al., ACP, 2020):\n\n\n\n\n\nWei, J., Li, Z., Lyapustin, A., Sun, L., Peng, Y., Xue, W., Su, T., and Cribb, M. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications. Remote Sensing of Environment, 2021, 252, 112136. https://doi.org/10.1016/j.rse.2020.112136\n\n\n\n\nWei, J., Li, Z., Cribb, M., Huang, W., Xue, W., Sun, L., Guo, J., Peng, Y., Li, J., Lyapustin, A., Liu, L., Wu, H., and Song, Y. Improved 1 km resolution PM2.5 estimates across China using enhanced space-time extremely randomized trees. Atmospheric Chemistry and Physics, 2020, 20(6), 3273–3289. https://doi.org/10.5194/acp-20-3273-2020\n\n\n\nThe data is continuously updated, and\n\n        all (including daily) data for the year 2022 is accessible at: ChinaHighPM2.5 (2022)\n\n        all (including daily) data for the year 2023 is accessible at: ChinaHighPM2.5 (2023)\n\n        all (including daily) data for the year 2024 is accessible at: ChinaHighPM2.5 (2024)\n\n        more data is coming soon...\n\nMore CHAP datasets for different air pollutants are available at: https://weijing-rs.github.io/product.html","descriptionType":"Abstract"},{"description":"Note that the data are recorded in local time (i.e., Beijing time: GMT+8).\n\nThis dataset is continuously updated. If you require additional data for related scientific research, please contact us (weijing_rs@163.com or weijing.rs@gmail.com).","descriptionType":"Other"}],"geoLocations":[],"fundingReferences":[],"xml":"PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0iVVRGLTgiPz4KPHJlc291cmNlIHhtbG5zOnhzaT0iaHR0cDovL3d3dy53My5vcmcvMjAwMS9YTUxTY2hlbWEtaW5zdGFuY2UiIHhtbG5zPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCIgeHNpOnNjaGVtYUxvY2F0aW9uPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCBodHRwOi8vc2NoZW1hLmRhdGFjaXRlLm9yZy9tZXRhL2tlcm5lbC00L21ldGFkYXRhLnhzZCI+CiAgPGlkZW50aWZpZXIgaWRlbnRpZmllclR5cGU9IkRPSSI+MTAuNTI4MS9aRU5PRE8uMzUzOTM0OTwvaWRlbnRpZmllcj4KICA8Y3JlYXRvcnM+CiAgICA8Y3JlYXRvcj4KICAgICAgPGNyZWF0b3JOYW1lIG5hbWVUeXBlPSJQZXJzb25hbCI+V2VpLCBKaW5nPC9jcmVhdG9yTmFtZT4KICAgICAgPGdpdmVuTmFtZT5KaW5nPC9naXZlbk5hbWU+CiAgICAgIDxmYW1pbHlOYW1lPldlaTwvZmFtaWx5TmFtZT4KICAgICAgPG5hbWVJZGVudGlmaWVyIG5hbWVJZGVudGlmaWVyU2NoZW1lPSJPUkNJRCIgc2NoZW1lVVJJPSIiPjAwMDAtMDAwMi04ODAzLTcwNTY8L25hbWVJZGVudGlmaWVyPgogICAgICA8YWZmaWxpYXRpb24gYWZmaWxpYXRpb25JZGVudGlmaWVyPSJodHRwczovL3Jvci5vcmcvMDQ3czJjMjU4IiBhZmZpbGlhdGlvbklkZW50aWZpZXJTY2hlbWU9IlJPUiI+VW5pdmVyc2l0eSBvZiBNYXJ5bGFuZCwgQ29sbGVnZSBQYXJrPC9hZmZpbGlhdGlvbj4KICAgIDwvY3JlYXRvcj4KICAgIDxjcmVhdG9yPgogICAgICA8Y3JlYXRvck5hbWUgbmFtZVR5cGU9IlBlcnNvbmFsIj5MaSwgWmhhbnFpbmc8L2NyZWF0b3JOYW1lPgogICAgICA8Z2l2ZW5OYW1lPlpoYW5xaW5nPC9naXZlbk5hbWU+CiAgICAgIDxmYW1pbHlOYW1lPkxpPC9mYW1pbHlOYW1lPgogICAgICA8bmFtZUlkZW50aWZpZXIgbmFtZUlkZW50aWZpZXJTY2hlbWU9Ik9SQ0lEIiBzY2hlbWVVUkk9IiI+MDAwMC0wMDAxLTY3MzctMzgyWDwvbmFtZUlkZW50aWZpZXI+CiAgICAgIDxhZmZpbGlhdGlvbiBhZmZpbGlhdGlvbklkZW50aWZpZXI9Imh0dHBzOi8vcm9yLm9yZy8wNDdzMmMyNTgiIGFmZmlsaWF0aW9uSWRlbnRpZmllclNjaGVtZT0iUk9SIj5Vbml2ZXJzaXR5IG9mIE1hcnlsYW5kLCBDb2xsZWdlIFBhcms8L2FmZmlsaWF0aW9uPgogICAgPC9jcmVhdG9yPgogIDwvY3JlYXRvcnM+CiAgPHRpdGxlcz4KICAgIDx0aXRsZT5DaGluYUhpZ2hQTeKCgi7igoU6IERhaWx5IFNlYW1sZXNzIDEga20gR3JvdW5kLUxldmVsIFBN4oKCLuKChSBEYXRhc2V0IGZvciBDaGluYSAoMjAwMOKAk1ByZXNlbnQpPC90aXRsZT4KICA8L3RpdGxlcz4KICA8cHVibGlzaGVyPlplbm9kbzwvcHVibGlzaGVyPgogIDxwdWJsaWNhdGlvblllYXI+MjAxOTwvcHVibGljYXRpb25ZZWFyPgogIDxyZXNvdXJjZVR5cGUgcmVzb3VyY2VUeXBlR2VuZXJhbD0iRGF0YXNldCIvPgogIDxzdWJqZWN0cz4KICAgIDxzdWJqZWN0PkNIQVA8L3N1YmplY3Q+CiAgICA8c3ViamVjdD5DaGluYUhpZ2hQTTIuNTwvc3ViamVjdD4KICAgIDxzdWJqZWN0PjEga208L3N1YmplY3Q+CiAgICA8c3ViamVjdD5CaWcgRGF0YTwvc3ViamVjdD4KICAgIDxzdWJqZWN0PkFydGlmaWNpYWwgaW50ZWxsaWdlbmNlPC9zdWJqZWN0PgogIDwvc3ViamVjdHM+CiAgPGRhdGVzPgogICAgPGRhdGUgZGF0ZVR5cGU9Iklzc3VlZCI+MjAxOS0xMS0xMjwvZGF0ZT4KICA8L2RhdGVzPgogIDxsYW5ndWFnZT5lbmc8L2xhbmd1YWdlPgogIDxyZWxhdGVkSWRlbnRpZmllcnM+CiAgICA8cmVsYXRlZElkZW50aWZpZXIgcmVsYXRlZElkZW50aWZpZXJUeXBlPSJET0kiIHJlbGF0aW9uVHlwZT0iSGFzVmVyc2lvbiI+MTAuNTI4MS96ZW5vZG8uNDY2MDg1ODwvcmVsYXRlZElkZW50aWZpZXI+CiAgICA8cmVsYXRlZElkZW50aWZpZXIgcmVsYXRlZElkZW50aWZpZXJUeXBlPSJET0kiIHJlbGF0aW9uVHlwZT0iSGFzVmVyc2lvbiI+MTAuNTI4MS96ZW5vZG8uNjM5ODk3MTwvcmVsYXRlZElkZW50aWZpZXI+CiAgICA8cmVsYXRlZElkZW50aWZpZXIgcmVsYXRlZElkZW50aWZpZXJUeXBlPSJET0kiIHJlbGF0aW9uVHlwZT0iSGFzVmVyc2lvbiI+MTAuNTI4MS96ZW5vZG8uMzUzOTM1MDwvcmVsYXRlZElkZW50aWZpZXI+CiAgICA8cmVsYXRlZElkZW50aWZpZXIgcmVsYXRlZElkZW50aWZpZXJUeXBlPSJET0kiIHJlbGF0aW9uVHlwZT0iSGFzVmVyc2lvbiI+MTAuNTI4MS96ZW5vZG8uMzc1MzYxNDwvcmVsYXRlZElkZW50aWZpZXI+CiAgPC9yZWxhdGVkSWRlbnRpZmllcnM+CiAgPHNpemVzLz4KICA8Zm9ybWF0cy8+CiAgPHZlcnNpb24+NDwvdmVyc2lvbj4KICA8cmlnaHRzTGlzdD4KICAgIDxyaWdodHMgcmlnaHRzVVJJPSJodHRwczovL2NyZWF0aXZlY29tbW9ucy5vcmcvbGljZW5zZXMvYnkvNC4wL2xlZ2FsY29kZSIgcmlnaHRzSWRlbnRpZmllcj0iY2MtYnktNC4wIiByaWdodHNJZGVudGlmaWVyU2NoZW1lPSJzcGR4Ij5DcmVhdGl2ZSBDb21tb25zIEF0dHJpYnV0aW9uIDQuMCBJbnRlcm5hdGlvbmFsPC9yaWdodHM+CiAgPC9yaWdodHNMaXN0PgogIDxkZXNjcmlwdGlvbnM+CiAgICA8ZGVzY3JpcHRpb24gZGVzY3JpcHRpb25UeXBlPSJBYnN0cmFjdCI+Q2hpbmFIaWdoUE0yLjUgaXMgcGFydCBvZiBhIHNlcmllcyBvZiBsb25nLXRlcm0sIHNlYW1sZXNzLCBoaWdoLXJlc29sdXRpb24sIGFuZCBoaWdoLXF1YWxpdHkgZGF0YXNldHMgb2YgYWlyIHBvbGx1dGFudHMgZm9yIENoaW5hIChpLmUuLCBDaGluYUhpZ2hBaXJQb2xsdXRhbnRzLCBDSEFQKS4gSXQgaXMgZ2VuZXJhdGVkIGZyb20gYmlnIGRhdGEgc291cmNlcyAoZS5nLiwgZ3JvdW5kLWJhc2VkIG1lYXN1cmVtZW50cywgc2F0ZWxsaXRlIHJlbW90ZSBzZW5zaW5nIHByb2R1Y3RzLCBhdG1vc3BoZXJpYyByZWFuYWx5c2lzLCBhbmQgbW9kZWwgc2ltdWxhdGlvbnMpIHVzaW5nIGFydGlmaWNpYWwgaW50ZWxsaWdlbmNlLCB0YWtpbmcgaW50byBhY2NvdW50IHRoZSBzcGF0aW90ZW1wb3JhbCBoZXRlcm9nZW5laXR5IG9mIGFpciBwb2xsdXRpb24uCgpIZXJlIGlzIHRoZSBiaWcgZGF0YS1kZXJpdmVkIHNlYW1sZXNzIChzcGF0aWFsIGNvdmVyYWdlID0gMTAwJSkgZGFpbHksIG1vbnRobHksIGFuZCB5ZWFybHkgMSBrbSAoaS5lLiwgRDFLLCBNMUssIGFuZCBZMUspIGdyb3VuZC1sZXZlbCBQTTIuNSBkYXRhc2V0IGZvciBDaGluYSBmcm9tIDIwMDAgdG8gdGhlIHByZXNlbnQuIFRoaXMgZGF0YXNldCBleGhpYml0cyBoaWdoIHF1YWxpdHksIHdpdGggYSBjcm9zcy12YWxpZGF0aW9uIGNvZWZmaWNpZW50IG9mIGRldGVybWluYXRpb24gKENWLVIyKSBvZiAwLjkyLCBhIHJvb3QtbWVhbi1zcXVhcmUgZXJyb3IgKFJNU0UpIG9mIDEwLjc2IMK1ZyBtLTMsIGFuZCBhIG1lYW4gYWJzb2x1dGUgZXJyb3IgKE1BRSkgb2YgNi4zMiDCtWcgbS0zwqBvbiBhIGRhaWx5IGJhc2lzLgoKSWYgeW91IHVzZSB0aGUgQ2hpbmFIaWdoUE0yLjUgZGF0YXNldCBpbiB5b3VyIHNjaWVudGlmaWMgcmVzZWFyY2gsIHBsZWFzZSBjaXRlIHRoZSBmb2xsb3dpbmcgcmVmZXJlbmNlcyAoV2VpIGV0IGFsLiwgUlNFLCAyMDIxOyBXZWkgZXQgYWwuLCBBQ1AsIDIwMjApOgoKCgoKCldlaSwgSi4sIExpLCBaLiwgTHlhcHVzdGluLCBBLiwgU3VuLCBMLiwgUGVuZywgWS4sIFh1ZSwgVy4sIFN1LCBULiwgYW5kIENy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