Supplementary Data for "A novel experimental V-Sc olivine-melt oxybarometer for arc magmas"

This supplementary dataset contains all supporting materials associated with the manuscript, including analytical data, figures, quality assessments, and Python code used for data analysis and modeling. It also serves as the data repository for all tables and figures presented in the main manuscript.
The contents are organized as follows:
1. Cacciatore_et_al_GCA_Raw_data_repository.xlsx: This file contains the same data as presented in the tables of the main manuscript.
2. S1_Supplementary_Tables: Excel spreadsheets providing a comprehensive summary of the experimental run conditions and trace element doping information. This section includes complete, processed data from LA-ICP-MS and EPMA analyses, along with quality control metrics for the measurements. It also contains the inputs and results of mass balance calculations, as well as comparisons with QEMSCAN analyses for selected samples. Additionally, this section includes numerical datasets used in statistical modeling (e.g., correlation matrices, fitting statistics), coding inputs, and the full dataset underlying the tables presented in the main manuscript.
3. S2_Supplement_Quality_of_Experimental_Approach: A document providing detailed information on the quality and reproducibility of the experimental procedures used in the study.
4. S3_Supplementary_Figures: Figures illustrating the precision and accuracy of EPMA and LA-ICP-MS measurements, along with graphical outputs of the statistical modeling. This section includes figures referenced in both the main manuscript and supplementary material.
5. S4_Supplement_AI_Generated_Python_Codes: Python scripts (AI-generated) used for data processing and statistical analysis, which produced the regression models presented as Equations 5 and 6 in the main manuscript.