Dataset for 'Novel miniaturised microbial electrosynthesis reactor: A study on replicability'

DOI:10.4121/2d14c7a1-e707-4adb-939d-1556a19d9f76.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/2d14c7a1-e707-4adb-939d-1556a19d9f76

Datacite citation style

Zegers, Marika; Augustijn, Eva; Jongbloed, Geurt; Jourdin, Ludovic (2025): Dataset for 'Novel miniaturised microbial electrosynthesis reactor: A study on replicability'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/2d14c7a1-e707-4adb-939d-1556a19d9f76.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

The analysed data and full scripts for the ECSA determination, onset potential determination, micro-CT data analysis and DTW distance calculation used in the paper 'Novel Miniaturised Microbial Electrosynthesis Reactor: A Study on Replicability'.

Python version 3.10.13 with packages numpy, pandas, os, scipy.optimize, scipy.stats, sklearn.metrics, dtaidistance, math, skfda, kneed, matplotlib.pyplot 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.

History

  • 2025-05-23 first online, published, posted

Publisher

4TU.ResearchData

Format

.xlsx, .csv, .py

Funding

  • This project is funded by the Department of Biotechnology of Delft University of Technology as part of the Zero Emission Biotechnology programme. [more info...] Delft University of Technology

Organizations

TU Delft, Faculty of Applied Sciences, Department of Biotechnology
TU Delft, Delft Institute of Applied Mathematics

DATA

Files (21)