cff-version: 1.2.0 abstract: "
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.
" authors: - family-names: Zegers given-names: Marika orcid: "https://orcid.org/0009-0008-0170-3310" - family-names: Augustijn given-names: Eva orcid: "https://orcid.org/0009-0008-4947-1926" - family-names: Jongbloed given-names: Geurt orcid: "https://orcid.org/0000-0003-4708-5868" - family-names: Jourdin given-names: Ludovic orcid: "https://orcid.org/0000-0002-6572-1154" title: "Dataset for 'Novel miniaturised microbial electrosynthesis reactor: A study on replicability'" keywords: version: 1 identifiers: - type: doi value: 10.4121/2d14c7a1-e707-4adb-939d-1556a19d9f76.v1 license: CC BY 4.0 date-released: 2025-05-23