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Discriminating chert origins using machine-learning approaches

Figshare2022-11-12 更新2026-04-28 收录

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https://figshare.com/articles/dataset/Discriminating_chert_origins_using_machine-learning_approaches/21546207 数据链接链接失效反馈

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Table S1 Major and trace elements of different cherts

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创建时间：

2022-11-12

考古学产地溯源

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Supplementary material – Sedimentary organic matter accumulation provinces in the Santos Basin, SW Atlantic: insights from multiple bulk proxies and machine learning analysis

有机质沉积

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Table S1 - Supplementary material: a complete dataset of the bulk and isotopic composition of organic matter, pigments, biopolymers, and related indices obtained in surface sediments from the Santos B

Zenodo2022-09-08 更新00

Input Files and Code for: Machine learning can accurately assign geologic basin to produced water samples using major geochemical parameters

油气产出水溯源

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As more hydrocarbon production from hydraulic fracturing and other methods produce large volumes of water, innovative methods must be explored for treatment and reuse...

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Supplementary Files for "Apatite Constraints on Archean TTG Magmatism Using Machine Learning"

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磷灰石成因分类

This supplementary file contains data and python code for in the manuscript "Apatite Constraints on Archean TTG Magmatism Using Machine Learning" by Qianbin Liang, Guoxiong Chen, Timothy Kusky, Qiumin

NIAID Data Ecosystem00

Discriminating chert origins using machine-learning approaches

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