SoDaH: the SOils DAta Harmonization database, an open-source synthesis of soil data from research networks, version 1.0
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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SoDaH: the SOils DAta Harmonization database, an open-source synthesis of soil data from research networks, version 1.0 ; year:2020 ; pages:1-19
Earth system science data discussions ; (2020), 1-19
- Creator
-
Wieder, William R.
Pierson, Derek
Earl, Stevan
Lajtha, Kate
Baer, Sara
Ballantyne, Ford
Berhe, Asmeret Asefaw
Billings, Sharon
Brigham, Laurel M.
Chacon, Stephany S.
Fraterrigo, Jennifer
Frey, Serita D.
Georgiou, Katerina
de Graaff, Marie-Anne
Grandy, A. Stuart
Hartman, Melannie D.
Hobbie, Sarah E.
Johnson, Chris
Kaye, Jason
Kyker-Snowman, Emily
Litvak, Marcy E.
Mack, Michelle C.
Malhotra, Avni
Moore, Jessica A. M.
Nadelhoffer, Knute
Rasmussen, Craig
Silver, Whendee L.
Sulman, Benjamin N.
Walker, Xanthe
Weintraub, Samantha
- DOI
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10.5194/essd-2020-195
- URN
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urn:nbn:de:101:1-2020081305413815764635
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.12.2023, 9:37 AM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Wieder, William R.
- Pierson, Derek
- Earl, Stevan
- Lajtha, Kate
- Baer, Sara
- Ballantyne, Ford
- Berhe, Asmeret Asefaw
- Billings, Sharon
- Brigham, Laurel M.
- Chacon, Stephany S.
- Fraterrigo, Jennifer
- Frey, Serita D.
- Georgiou, Katerina
- de Graaff, Marie-Anne
- Grandy, A. Stuart
- Hartman, Melannie D.
- Hobbie, Sarah E.
- Johnson, Chris
- Kaye, Jason
- Kyker-Snowman, Emily
- Litvak, Marcy E.
- Mack, Michelle C.
- Malhotra, Avni
- Moore, Jessica A. M.
- Nadelhoffer, Knute
- Rasmussen, Craig
- Silver, Whendee L.
- Sulman, Benjamin N.
- Walker, Xanthe
- Weintraub, Samantha
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Predicting wetland soil properties using machine learning, geophysics, and soil measurement data
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