Dataset for 'Identifying Key Drivers of Product Formation in Microbial Electrosynthesis with a Mixed Linear Regression Analysis'

The analysed data and complete scripts for the permutation tests and mixed linear regression models (MLRMs) used in the paper 'Identifying Key Drivers of Product Formation in Microbial Electrosynthesis with a Mixed Linear Regression Analysis'.Python version 3.10.13 with packages numpy, pandas, os, scipy.optimize, scipy.stats, sklearn.metrics, matplotlib.pyplot, statsmodels.formula.api, seaborn are required to run the .py files. Ensure all packages are installed before running the scripts. Data files required to run the code (.xlsx and .csv format) are included in the relevant folders.

本数据集包含论文《基于混合线性回归分析识别微生物电合成过程中产物生成的关键驱动因素》中所使用的分析数据，以及置换检验与混合线性回归模型（MLRMs）的完整运行脚本。运行该.py脚本需使用Python 3.10.13版本，以及numpy、pandas、os、scipy.optimize、scipy.stats、sklearn.metrics、matplotlib.pyplot、statsmodels.formula.api、seaborn等依赖包。请在运行脚本前确保所有依赖包已正确安装。运行代码所需的数据文件（格式为.xlsx与.csv）已存放至相关文件夹中。