2026-10-12T10:10:36Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33918760 2026-09-18T03:56:28Z category_25816 item_type_3 month_year_09_2026

<b>Machine learning-based discrimination of ore-bearing potential in rare-metal pegmatites using muscovite elemental geochemistry</b> Fang-Fang Li (24713482) Mineralogy and crystallography muscovite geochemistry rare-metal pegmatites machine learning temporal holdout validation mineral exploration explainable machine learning <p dir="ltr">This dataset contains the supplementary geochemical data associated with the manuscript entitled “Machine learning-based discrimination of ore-bearing potential in rare-metal pegmatites using muscovite elemental geochemistry”. The Excel file includes major- and trace-element compositions of muscovite samples and derived geochemical parameters used in the study. These data provide the geochemical basis for the statistical and machine-learning analyses presented in the manuscript and are made available to facilitate reproducibility and further research.</p> 2026-09-18T03:56:28Z Dataset Dataset 10.6084/m9.figshare.33918760.v1 https://figshare.com/articles/dataset/_b_Machine_learning-based_discrimination_of_ore-bearing_potential_in_rare-metal_pegmatites_using_muscovite_elemental_geochemistry_b_/33918760 CC BY 4.0