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Global OMI HCHO Level-3 oversampling dataset: high spatial resolution and lightweight uncertainty.

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Title: Global OMI HCHO Level-3 oversampling dataset: high spatial resolution and lightweight uncertainty.
Authors: Xia H; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China., Wang D; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China. wangdk@gzhu.edu.cn.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China. wangdk@gzhu.edu.cn., Yang X; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China., Li X; School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China., Zhu L; School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China., Lu T; College of Science, Northeastern University, Boston, MA02115, USA., Song Z; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China., Mo Y; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China., Yan C; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China., Pu D; School of Architecture & Urban Planning, Shenzhen University, Shenzhen, 518060, China., Zuo X; Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands.; Department of Geoscience & Remote Sensing, Delft University of Technology (TUD), Delft, the Netherlands., Sun W; Division of Atmospheric Composition, Royal Belgian Institute for Space Aeronomy (BIRAIASB), Brussels, 1180, Belgium., Wang J; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China., Gu X; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China.
Source: Scientific data [Sci Data] 2026 Jan 19; Vol. 13 (1), pp. 253. Date of Electronic Publication: 2026 Jan 19.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Global OMI HCHO Level-3 oversampling dataset: high spatial resolution and lightweight uncertainty.
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  Data: <searchLink fieldCode="AU" term="%22Xia+H%22">Xia H</searchLink>; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China.<br /><searchLink fieldCode="AU" term="%22Wang+D%22">Wang D</searchLink>; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China. wangdk@gzhu.edu.cn.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China. wangdk@gzhu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Yang+X%22">Yang X</searchLink>; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China.<br /><searchLink fieldCode="AU" term="%22Li+X%22">Li X</searchLink>; School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.<br /><searchLink fieldCode="AU" term="%22Zhu+L%22">Zhu L</searchLink>; School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.<br /><searchLink fieldCode="AU" term="%22Lu+T%22">Lu T</searchLink>; College of Science, Northeastern University, Boston, MA02115, USA.<br /><searchLink fieldCode="AU" term="%22Song+Z%22">Song Z</searchLink>; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China.<br /><searchLink fieldCode="AU" term="%22Mo+Y%22">Mo Y</searchLink>; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China.<br /><searchLink fieldCode="AU" term="%22Yan+C%22">Yan C</searchLink>; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China.<br /><searchLink fieldCode="AU" term="%22Pu+D%22">Pu D</searchLink>; School of Architecture & Urban Planning, Shenzhen University, Shenzhen, 518060, China.<br /><searchLink fieldCode="AU" term="%22Zuo+X%22">Zuo X</searchLink>; Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands.; Department of Geoscience & Remote Sensing, Delft University of Technology (TUD), Delft, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Sun+W%22">Sun W</searchLink>; Division of Atmospheric Composition, Royal Belgian Institute for Space Aeronomy (BIRAIASB), Brussels, 1180, Belgium.<br /><searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China.<br /><searchLink fieldCode="AU" term="%22Gu+X%22">Gu X</searchLink>; School of Geography and Remote Sensing, Guangzhou University, Guangzhou, 510006, China.; Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou, 510006, China.
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  Data: <searchLink fieldCode="JN" term="%22101640192%22">Scientific data</searchLink> [Sci Data] 2026 Jan 19; Vol. 13 (1), pp. 253. <i>Date of Electronic Publication: </i>2026 Jan 19.
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              Text: 2026 Jan 19
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