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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Discrimination of Quartz Genesis Based on Explainable Machine Learning

Authors: , ZHUGUODONG;

Discrimination of Quartz Genesis Based on Explainable Machine Learning

Abstract

The investigation of trace elements in quartz samples was conducted via ambient laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). The sampled deposits encompassed diverse geological formations, namely porphyry, pegmatite, granite, skarn, epithermal, carlin, greisen, and orogenic deposits. The objective of the study was to employ eight specific trace elements (Al, Ti, Li, Ge, Fe, Na, K, and P) for the characterization of the training samples.

If you find this repository useful in your research, please consider citing the following paper: @article{zhu2023discrimination, title={Discrimination of Quartz Genesis Based on Explainable Machine Learning}, author={Zhu, Guo-Dong and Niu, Yun-Yun and Liao, Shu-Bing and Ruan, Long and Zhang, Xiao-Hao}, journal={Minerals}, volume={13}, number={8}, pages={997}, year={2023}, publisher={MDPI} }

{"references": ["https://doi.org/10.3390/min13080997"]}

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Keywords

Quartz、trace elements

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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