Dataset for Identify structures underlying out-of-equilibrium reaction networks with random graph analysis
doi:10.4121/ac3c7c42-f367-41d7-bd3b-fa54714b3a1b.v1
The doi 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/ac3c7c42-f367-41d7-bd3b-fa54714b3a1b
doi: 10.4121/ac3c7c42-f367-41d7-bd3b-fa54714b3a1b
Datacite citation style:
Da Cunha, Éverton F.; Kraakman, Yanna J.; Kriukov, Dmitrii; van Poppel, Thomas; Stegehuis, Clara et. al. (2025): Dataset for Identify structures underlying out-of-equilibrium reaction networks with random graph analysis. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ac3c7c42-f367-41d7-bd3b-fa54714b3a1b.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
categories
licence
CC BY 4.0
Python scripts were developed to analyze and visualize data encoded in the provided .txt files. MATLAB scripts generate the raw time series data. Two examples of simulated results are provided Graphics Interchange Format files. For more details, two READ ME files are included:
- 20241129_EF_YK_ChemSci_Networks_DatasetREADME.txt provides description of this dataset
- README.txt provides instructions on use of the scripts included.
history
- 2025-01-08 first online, published, posted
publisher
4TU.ResearchData
format
*.ipynb; *.m; *.py; *.gif, *.txt, *.yml
associated peer-reviewed publication
Identify structures underlying out-of-equilibrium reaction networks with random graph analysis
organizations
University of Twente, Faculty of Science and Technology, Department of Molecules & Materials, Section of Molecular Nanofabrication; MESA+ Institute and BRAINS (Center for Brain-inspired Nano Systems);
University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Mathematical Operation Research
DATA
files (11)
- 3,308 bytesMD5:
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README.txt - 102,817 bytesMD5:
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Complex Network analysis of oscillatory CRN.ipynb - 5,118 bytesMD5:
d013058273627e307f508294a7e39bfa
ConfigModel_EdgeSwapping_multidigraph.py - 7,361 bytesMD5:
e716712b1ef511bbc84d346ca64daca7
Create_null_model_data.py - 28,134 bytesMD5:
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CRN_network_tools.py - 9,509 bytesMD5:
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CRN_network_tools_env.yml - 192 bytesMD5:
aea5e2b2056d0fcf2c2cae31e5295194
enzy_CRN_re_eqs_batch.txt - 332 bytesMD5:
1a65380d2ebe92c1b1693f30ea031efb
enzy_CRN_re_eqs_flow.txt - 2,803 bytesMD5:
55433376c47d7478a56d11fccea04634
enzymatic oscillator.zip - 10,260,167 bytesMD5:
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SupplementaryInformation_FigS3.gif - 10,246,788 bytesMD5:
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SupplementaryInformation_FigS4.gif -
download all files (zip)
20,666,529 bytes unzipped