Research Data Leeds Repository

Dataset for 'Coexistence of Competing Microbial Strains under Twofold Environmental Variability and Demographic Fluctuations'

Citation

Asker, Matthew and Hernández-Navarro, Lluís and Mobilia, Mauro (2023) Dataset for 'Coexistence of Competing Microbial Strains under Twofold Environmental Variability and Demographic Fluctuations'. University of Leeds. [Dataset] https://doi.org/10.5518/1371¹

Dataset description

Dataset for 'Coexistence of Competing Microbial Strains under Twofold Environmental Variability and Demographic Fluctuations'. A full description of the data, methods, and interpretation may be found in the related publication. Computational data: raw results from stochastic simulations of our full model and of the effective Moran model at fixed total population.

Subjects:	G000 - Mathematical sciences > G100 - Mathematics > G120 - Applied mathematics2
Divisions:	Faculty of Engineering and Physical Sciences > School of Mathematics > Department of Applied Mathematics3
Related resources:	Location Type https://doi.org/10.1088/1367-2630/ad0d364 Publication https://eprints.whiterose.ac.uk/213922/5 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	14 Jul 2023 10:38
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/11316
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Asker, Matthew https://orcid.org/0009-0003-5548-55357 University of Leeds https://ror.org/024mrxd33 ror Hernández-Navarro, Lluís https://orcid.org/0000-0002-7272-75978 University of Leeds https://ror.org/024mrxd33 ror Mobilia, Mauro https://orcid.org/0000-0002-1424-567X9 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC Grant numbers: EP/T517860/1, EP/V014439/1 Publication date: 2023 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: mmmwa@leeds.ac.uk10 Last Modified: 28 Nov 2024 14:01

Files

Documentation

readme [3kB] 11 readme [3kB] 12 readme [3kB] 13 Security: Anyone File name: README_Asker-etal_2023.txt14 Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

Data

data [1MB] 15 data [1MB] 16 data [1MB] 17 Security: Anyone File name: data.zip18 Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1MB

• 1. https://doi.org/10.5518/1371
• 2. https://archive.researchdata.leeds.ac.uk/view/subjects/G120.html
• 3. https://archive.researchdata.leeds.ac.uk/view/divisions/DAM/
• 4. https://doi.org/10.1088/1367-2630/ad0d36
• 5. https://eprints.whiterose.ac.uk/213922/
• 6. https://archive.researchdata.leeds.ac.uk/id/eprint/1131
• 7. https://orcid.org/0009-0003-5548-5535
• 8. https://orcid.org/0000-0002-7272-7597
• 9. https://orcid.org/0000-0002-1424-567X
• 10. mailto:mmmwa@leeds.ac.uk
• 11. https://archive.researchdata.leeds.ac.uk/1131/2/README_Asker-etal_2023.txt
• 12. https://archive.researchdata.leeds.ac.uk/1131/2/README_Asker-etal_2023.txt
• 13. https://archive.researchdata.leeds.ac.uk/1131/2/README_Asker-etal_2023.txt
• 14. https://archive.researchdata.leeds.ac.uk/1131/2/README_Asker-etal_2023.txt
• 15. https://archive.researchdata.leeds.ac.uk/1131/1/data.zip
• 16. https://archive.researchdata.leeds.ac.uk/1131/1/data.zip
• 17. https://archive.researchdata.leeds.ac.uk/1131/1/data.zip
• 18. https://archive.researchdata.leeds.ac.uk/1131/1/data.zip