Published March 24, 2021
| Version v1.0
Software
Open
carbonatefan/OPT3MAL: First release of OPT3MAL
Contributors
Researchers:
- 1. University of Birmingham
- 2. Monash University
Description
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
Files
carbonatefan/OPT3MAL-v1.0.zip
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Additional details
Related works
- Is supplement to
- https://github.com/carbonatefan/OPT3MAL/tree/v1.0 (URL)
Funding
- Rethinking carbonate diagenesis: clues to past carbon cycling from an overlooked carbon sink NE/L011050/1
- UK Research and Innovation