TY - DATA
T1 - Dataset for 'Identifying Key Drivers of Product Formation in Microbial Electrosynthesis with a Mixed Linear Regression Analysis'
PY - 2025/10/06
AU - Marika Zegers
AU - Moumita Roy
AU - Ludovic Jourdin
UR - 
DO - 10.4121/5e840d08-55f6-4daa-a639-048cebcd8266.v1
KW - Microbial electrosynthesis
KW - CO2 valorisation
KW - Biofilm
KW - Mixed culture
KW - Carboxylic acids
KW - Chain elongation
KW - Statistical analysis
KW - Design of experiments
KW - Mixed linear regression modelling
KW - Reactor variance
N2 - <p>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'.</p><p>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.</p>
ER -