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OpenLandMap-soildb: global soil information at 30 m spatial resolution for 2000–2022+ based on spatiotemporal Machine Learning and harmonized legacy soil samples and observations.

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Title: OpenLandMap-soildb: global soil information at 30 m spatial resolution for 2000–2022+ based on spatiotemporal Machine Learning and harmonized legacy soil samples and observations.
Authors: Hengl, Tomislav1 (AUTHOR) tom.hengl@opengeohub.org, Consoli, Davide1 (AUTHOR), Tian, Xuemeng1 (AUTHOR), Nauman, Travis W.2 (AUTHOR), Nussbaum, Madlene3 (AUTHOR), Isik, Mustafa Serkan1 (AUTHOR), Parente, Leandro1 (AUTHOR), Ho, Yu-Feng1 (AUTHOR), Simoes, Rolf1 (AUTHOR), Gupta, Surya4 (AUTHOR), Samuel-Rosa, Alessandro5 (AUTHOR), Zborowski Horst, Taciara6 (AUTHOR), Safanelli, José L.7 (AUTHOR), Harris, Nancy8 (AUTHOR)
Source: Earth System Science Data. 2026, Vol. 18 Issue 2, p989-1036. 48p.
Database: Academic Search Ultimate
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An: 192320648
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  Data: OpenLandMap-soildb: global soil information at 30 m spatial resolution for 2000–2022+ based on spatiotemporal Machine Learning and harmonized legacy soil samples and observations.
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  Data: <searchLink fieldCode="JN" term="%22Earth+System+Science+Data%22">Earth System Science Data</searchLink>. 2026, Vol. 18 Issue 2, p989-1036. 48p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192320648
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      – Type: doi
        Value: 10.5194/essd-18-989-2026
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      – Code: eng
        Text: English
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        PageCount: 48
        StartPage: 989
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      – TitleFull: OpenLandMap-soildb: global soil information at 30 m spatial resolution for 2000–2022+ based on spatiotemporal Machine Learning and harmonized legacy soil samples and observations.
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              Text: 2026
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              Y: 2026
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