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The city-level time-series CO\n                    <jats:sub>2<\/jats:sub>\n                    emission inventories of the GBA region are crucial for the formulation of policies on climate change mitigation pathways. However, the region lacked a consistent and comparable time-series city-level CO\n                    <jats:sub>2<\/jats:sub>\n                    emissions inventory dataset. In this study, we provided CO\n                    <jats:sub>2<\/jats:sub>\n                    emission and socioeconomic inventories of the GBA cities and their surrounding twelve Guangdong cities from 2000 to 2022. The CO\n                    <jats:sub>2<\/jats:sub>\n                    emission inventories were compiled by 47 economic sectors, 17 types of fossil fuels, and four industrial processes. The dataset provides temporal emissions estimates that support the design of regions\u2019 mitigation strategies, and help China achieve its goal of peaking carbon emissions before 2030.\n                  <\/jats:p>","DOI":"10.1038\/s41597-025-06076-4","type":"journal-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T15:27:12Z","timestamp":1763134032000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["CO2 emission and socioeconomic inventories of Guangdong-Hong Kong-Macao Greater Bay Area and surrounding cities 2000-2022"],"prefix":"10.1038","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1960-8900","authenticated-orcid":false,"given":"Ya","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pingda","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-6176-7974","authenticated-orcid":false,"given":"Aiqun","family":"Guan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5215-8657","authenticated-orcid":false,"given":"Yuli","family":"Shan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dabo","family":"Guan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhifeng","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,11,14]]},"reference":[{"key":"6076_CR1","doi-asserted-by":"publisher","unstructured":"IEA (International Energy Agency). 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