Dataset for 'Novel miniaturised microbial electrosynthesis reactor: A study on replicability'
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
Version 2 - 2025-10-06 (latest)
Version 1 - 2025-05-23
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.ResearchDataFormat
.xlsx, .csv, .pyAssociated peer-reviewed publication
Novel miniaturised microbial electrosynthesis reactor: A study on replicabilityFunding
- 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 BiotechnologyTU Delft, Delft Institute of Applied Mathematics
DATA
Files (21)
- 3,697 bytesMD5:
1eaa7a231537d9c37fd8196c72295c42README.txt - 132,988 bytesMD5:
284a6c39b858b5b2bff01f7bed029306CV_data.xlsx - 6,756 bytesMD5:
414a8423e45a3c68a084712a05d836e9CV_DTW.py - 4,302 bytesMD5:
08a763407d0b33742a8855474606bec3ECSA_calc.py - 10,054 bytesMD5:
0233f716ab84b1541b0a0c6305b9866dECSA_data.xlsx - 47,356 bytesMD5:
afda44cd7d6b0677cbbee326a52fb87eelectrode1_fibres_area.csv - 46,545 bytesMD5:
e76f76f93c95ef8800ad861abdd99cf9electrode1_total_area.csv - 47,687 bytesMD5:
bbc5eb67e671e8a388411508c681ea57electrode2_fibres_area.csv - 46,865 bytesMD5:
5406ce434222034210c1b4df6d660925electrode2_total_area.csv - 48,827 bytesMD5:
e6dc154620bd21f4ffa4420173150094electrode3_fibres_area.csv - 47,999 bytesMD5:
a55b8dcb01322588273f62bdc79f406eelectrode3_total_area.csv - 48,863 bytesMD5:
96408e710c7940e5a5ef147ff6b7b224electrode4_fibres_area.csv - 48,100 bytesMD5:
139c9e09d565cd2d389468e8ccf1a056electrode4_total_area.csv - 47,199 bytesMD5:
57027ad581de122e7c91e067dcb9e24eelectrode5_fibres_area.csv - 46,623 bytesMD5:
31eaa39f0b0cc01d10a700e9ad308d85electrode5_total_area.csv - 47,558 bytesMD5:
aa089995d057b87c89f9a648586e16c7electrode6_fibres_area.csv - 46,846 bytesMD5:
c2c2cbaf5bc92e6f18d8ff9802915294electrode6_total_area.csv - 7,457 bytesMD5:
24bd37939f013245b30ab611f07622eamicro_ct_analysis.py - 3,206 bytesMD5:
71702053fe00c9d970e3cad47251d7daonset_potential_determination.py - 14,197 bytesMD5:
31694be7e7b387507a56b67ec696d236polarisation_curve_data.xlsx - 6,825 bytesMD5:
22dc8fc83ff6feaec7f6ae0e4db70e19polarisation_curve_DTW.py -
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