Data for: Quantifying dynamic pressure and temperature conditions on fault asperities during earthquake slip

# Raw data

Raw Raman spectra for Maps 1-3 are provided.

# Codes for replicating data presented

Figure 2 b, c, d; 6 a, b; 7 a , b - Supporting Data > Python Codes > Data_treatment.ipynb
Figure 8 a, b - Supporting Data > Matlab Codes > Fictivetempcalib.m

Figure 8 c - Supporting Data > Matlab Codes > Coolingrates.m
Supporting Data > Matlab Codes > fdheat1d.m
Figure 9 a, b - Supporting Data > Matlab Codes > Fictive.m

# Requirements

Python code was tested with:

- Python 3.7
- Scipy version 1.4.1
- matplotlib version 3.1.3
- numpy version 1.18.1
- pandas version 1.0.3
- rampy version 0.4.5

To run the code, install all the above dependencies (we recommend using Anaconda Python
as it provides most of them bundled together), then using a terminal (best in Linux or Mac OS
as we used Unix relative paths) and type:

>>> python Data_treatment.py

This runs the code and generates the figures, which are saved in ./Python Codes/figures/ . You
will need to create this folder in the same directory that the python script is saved.

Matlab code was run with Matlab 2018b.

# 原始数据
本次提供了Map 1至Map 3的原始拉曼光谱（Raman spectra）。

# 复现已展示数据的代码
图2b、c、d，图6a、b，图7a、b的复现代码位于：辅助数据（Supporting Data）> Python代码 > Data_treatment.ipynb
图8a、b的复现代码位于：辅助数据 > MATLAB（Matlab）代码 > Fictivetempcalib.m
图8c的复现代码包含：辅助数据 > MATLAB代码 > Coolingrates.m 以及 辅助数据 > MATLAB代码 > fdheat1d.m
图9a、b的复现代码位于：辅助数据 > MATLAB代码 > Fictive.m

# 运行环境要求
本次测试所用Python代码的运行环境如下：
- Python 3.7
- SciPy库版本1.4.1
- matplotlib库版本3.1.3
- NumPy库版本1.18.1
- pandas库版本1.0.3
- rampy库版本0.4.5

如需运行代码，请先安装上述所有依赖库（我们推荐使用Anaconda Python，因其已预装大部分依赖库），随后在终端中执行操作（建议使用Linux或Mac OS系统，因本次采用Unix相对路径），并运行以下命令：
>>> python Data_treatment.py

运行该代码即可生成对应图表，生成的图表将保存至./Python Codes/figures/ 路径下。请确保在Python脚本所在的同级目录中预先创建该文件夹。

本次MATLAB代码的运行环境为MATLAB 2018b。