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Machine Learning Investigation of Clinopyroxene Compositions to Evaluate and Predict Mantle Metasomatism Worldwide

Authors :
Ben Qin
Fang Huang
Shichun Huang
Andre Python
Yunfeng Chen
J ZhangZhou
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