Published January 19, 2023
| Version 1.2
Dataset
Open
Identifying serpentine minerals by their chemical compositions with machine learning (dataset and python code)
Creators
- 1. Guangzhou Institute of Geochemistry, Chinese Academy of Sciences
- 2. CSIRO, Mineral Resources
- 3. Ohio University
- 4. Indian Institute of Technology, Kharagpur
- 5. University of Minnesota
- 6. University of California, Los Angeles
- 7. University of Toronto
- 8. State University of New York at Fredonia
- 9. Zhejiang University
Description
The dataset and python code for the manuscript of Identifying serpentine minerals by their chemical compositions with machine learning (submitted to American Geologist)
Files
Distribution_plot.ipynb
Files
(10.8 MB)
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