2026-10-14T08:55:44Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33965932 2026-09-22T15:21:20Z category_25828 item_type_3 month_year_09_2026

CorrosionAI supplementary dataset Tianhao Yan (25090660) Sedimentology mineral corrosion optical microscopy CorrosionAI <p dir="ltr">This dataset contains the seven supplementary tables used in the manuscript “Objective determination of mineral corrosion features in sand and sandstone by deep learning.” Table S1 contains sample information and amphibole corrosion classifications used for model development. Tables S2–S4 contain independent validation data from the lower Indus and Ganga-Brahmaputra rivers, the Thar Desert, and Nile Delta cores. Table S5 summarizes the training, validation, and test datasets. Table S6 reports model performance metrics, and Table S7 provides model-predicted class probabilities for grains showing overprinted corrosion features. Together, these tables provide the underlying tabular data used to evaluate CorrosionAI and calculate the refined Corrosion Index.</p> 2026-09-22T15:21:20Z Dataset Dataset 10.6084/m9.figshare.33965932.v1 https://figshare.com/articles/dataset/CorrosionAI_supplementary_dataset/33965932 CC BY 4.0