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Machine Learning Investigation of Clinopyroxene Compositions to Evaluate and Predict Mantle Metasomatism Worldwide
- Publication Year :
- 2021
- Publisher :
- Zenodo, 2021.
-
Abstract
- Dataset 1 Parent dataset of global mantle clinopyroxene compositions. Dataset 2 Labeled dataset for training the ML model to classify clinopyroxene compositions as affected or unaffected by metasomatism. Dataset 3 Application dataset. For details, please see the corresponding manuscript that describes the study and readme txt in the dataset file.<br />For more details and updated version code see https://github.com/ZJUEarthData/BenQin_mantle-matesomatism-machine-learning
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....01f2f2522c0bc38fdac9147934d87afa
- Full Text :
- https://doi.org/10.5281/zenodo.6466993