Research Data Leeds Repository

Dataset for 'Fixation and extinction in time-fluctuating spatially structured metapopulations'

Citation

Asker, Matthew and Swailem, Mohamed and Täuber, Uwe C. and Mobilia, Mauro (2025) Dataset for 'Fixation and extinction in time-fluctuating spatially structured metapopulations'. University of Leeds. [Dataset] https://doi.org/10.5518/1660¹

Dataset description

Dataset for 'Fixation and extinction in time-fluctuating spatially structured metapopulations'. A full description of the data, methods, and interpretation may be found in the related publication. Computational data: processed results from several simulations of the stochastic model using the Monte Carlo algorithm defined in the publication and available at: https://github.com/mswailem/Monte_Carlo_Two_Strain

Subjects:	G000 - Mathematical sciences > G100 - Mathematics > G120 - Applied mathematics2
Divisions:	Faculty of Engineering and Physical Sciences > School of Mathematics3
Related resources:	Location Type https://github.com/mswailem/Monte_Carlo_Two_Strain4 Software https://doi.org/10.48550/arXiv.2504.084335 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	15 Apr 2025 15:36
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/13966
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 Swailem, Mohamed https://orcid.org/0000-0002-4590-675X8 Virginia Tech https://ror.org/02smfhw86 ror Täuber, Uwe C. https://orcid.org/0000-0001-7854-22549 Virginia Tech https://ror.org/02smfhw86 ror Mobilia, Mauro https://orcid.org/0000-0002-1424-567X10 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC, NSF Grant numbers: EP/V014439/1, EP/T517860/1, DMS-2128587 Publication date: 2025 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: mmmwa@leeds.ac.uk11 Last Modified: 16 Apr 2025 12:55

Files

Documentation

READ_ME_Asker-et-al_2025.txt [4kB] 12 READ_ME_Asker-et-al_2025.txt [4kB] 13 READ_ME_Asker-et-al_2025.txt [4kB] 14 Security: Anyone File name: READ_ME_Asker-et-al_2025.txt15 Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 4kB

Data

data.zip [45MB] 16 data.zip [45MB] 17 data.zip [45MB] 18 Security: Anyone File name: data.zip19 Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 45MB

• 1. https://doi.org/10.5518/1660
• 2. https://archive.researchdata.leeds.ac.uk/view/subjects/G120.html
• 3. https://archive.researchdata.leeds.ac.uk/view/divisions/SM/
• 4. https://github.com/mswailem/Monte_Carlo_Two_Strain
• 5. https://doi.org/10.48550/arXiv.2504.08433
• 6. https://archive.researchdata.leeds.ac.uk/id/eprint/1396
• 7. https://orcid.org/0009-0003-5548-5535
• 8. https://orcid.org/0000-0002-4590-675X
• 9. https://orcid.org/0000-0001-7854-2254
• 10. https://orcid.org/0000-0002-1424-567X
• 11. mailto:mmmwa@leeds.ac.uk
• 12. https://archive.researchdata.leeds.ac.uk/1396/2/READ_ME_Asker-et-al_2025.txt
• 13. https://archive.researchdata.leeds.ac.uk/1396/2/READ_ME_Asker-et-al_2025.txt
• 14. https://archive.researchdata.leeds.ac.uk/1396/2/READ_ME_Asker-et-al_2025.txt
• 15. https://archive.researchdata.leeds.ac.uk/1396/2/READ_ME_Asker-et-al_2025.txt
• 16. https://archive.researchdata.leeds.ac.uk/1396/1/data.zip
• 17. https://archive.researchdata.leeds.ac.uk/1396/1/data.zip
• 18. https://archive.researchdata.leeds.ac.uk/1396/1/data.zip
• 19. https://archive.researchdata.leeds.ac.uk/1396/1/data.zip