Alkaline Basaltic Liquid Geothermobarometer Regression Dataset

A compiled dataset for running multiple linear regression to acquire equations for an alkaline basaltic liquid geothermobarometer. The dataset is 77.3 KB in size and was authored by Rachael Baxter. It was last updated on May 28, 2026.

Use Cases

• Calibrating a geothermobarometer based on alkaline basaltic liquid composition.
• Training a regression model to predict pressure and temperature conditions from geochemical data.
• Validating thermodynamic models for magmatic processes using empirical equations.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 77.3 KB, facilitating quick download and inspection.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Rachael Baxter

Collection Method

Compiled for a PhD thesis appendix.

Freshness

Last updated 2026-05-28 07:14:38; freshness should be verified.