carbonatefan/OPT3MAL: First release of OPT3MAL
This is the first release of OPT3MAL, a machine learning approach to predict mean annual air temperatures (MAAT) and pH from the relative abundances of 3-hydroxy fatty acids in soils, as described in: Global calibration of novel 3-hydroxy fatty acid based temperature and pH proxies Canfa Wang, James A. Bendle, Huan Yang, Yi Yang, Alice Hardman, Afrifa Yamoah, Amy Thorpe, Ilya Mandel, Sarah E. Greene, Junhua Huang, and Shucheng Xie, Geochimica et Cosmochimica Acta (2021) doi:10.1016/j.gca.2021.03.010
Resource information
- Format
- zip
- Original repository
- 4633574
- DOI
- 10.5281/zenodo.4633574
- Credit basis
- Creators in Zenodo record metadata
- Access
- Open files available from the original Zenodo deposit
- Last checked
- Nov 5, 2026
- License
- mit-license
- Last record update
- Nov 5, 2026
About this resource
This is the first release of OPT3MAL, a machine learning approach to predict mean annual air temperatures (MAAT) and pH from the relative abundances of 3-hydroxy fatty acids in soils, as described in: Global calibration of novel 3-hydroxy fatty acid based temperature and pH proxies Canfa Wang, James A. Bendle, Huan Yang, Yi Yang, Alice Hardman, Afrifa Yamoah, Amy Thorpe, Ilya Mandel, Sarah E. Greene, Junhua Huang, and Shucheng Xie, Geochimica et Cosmochimica Acta (2021) doi:10.1016/j.gca.2021.03.010