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.

本补充数据集包含与该研究手稿相关的全部支撑材料，涵盖分析数据、插图、质量评估文件，以及用于数据分析与建模的Python代码。本数据集同时作为正文章节中所有表格与插图的数据存储库。
内容组织如下：
1. Cacciatore_et_al_GCA_Raw_data_repository.xlsx：该文件包含与正文章节表格完全一致的原始数据。
2. S1_Supplementary_Tables：Excel表格集，全面汇总了实验运行条件与微量元素掺杂信息。本部分包含激光剥蚀电感耦合等离子体质谱法（LA-ICP-MS）与电子探针显微分析仪（EPMA）分析的完整处理后数据，同时附带测量流程的质量控制指标；此外还包含质量平衡计算的输入参数与结果、针对选定样品的定量矿物学评估系统（QEMSCAN）分析对比数据。本部分同时收录了统计建模所用的数值数据集（如相关矩阵、拟合统计量）、代码输入文件，以及正文中所有表格对应的完整原始数据集。
3. S2_Supplement_Quality_of_Experimental_Approach：该文档详细阐述了本研究采用的实验流程的质量控制与可重复性相关信息。
4. S3_Supplementary_Figures：本部分包含展示EPMA与LA-ICP-MS测量精度与准确性的插图，以及统计建模的可视化输出结果，涵盖正文章节与补充材料中引用的全部图表。
5. S4_Supplement_AI_Generated_Python_Codes：本部分包含由AI生成的Python脚本，用于数据处理与统计分析，可复现正文中以公式5与公式6呈现的回归模型。