V/Ti-in-Olivine Oxybarometer Dataset for Machine Learning

Supplementary tables and materials for a manuscript presenting a machine learning–based oxybarometer. The dataset is 309.6 KB in size and was authored by HU Wenjun. It was last updated on April 17, 2026.

Use Cases

• Train a machine learning model to estimate oxygen fugacity based on V/Ti ratios in olivine.
• Benchmark new oxybarometry methods against the published machine learning approach.
• Reproduce the results of the associated manuscript using the provided supplementary materials.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Includes supplementary materials in multiple formats (XLSX, DOCX, PDF).

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

HU Wenjun

Collection Method

Likely compiled for a scientific manuscript on geochemical analysis.

Freshness

Last updated 2026-04-17 03:16:17; freshness should be verified.