Research Data Leeds Repository
Items where Subject is "G000 - Mathematical sciences > G100 - Mathematics > G120 - Applied mathematics"
![]() | Up a level2 |
- Joint Academic Coding System (JACS)9 (975)
- G000 - Mathematical sciences10 (29)
- G100 - Mathematics11 (24)
- G120 - Applied mathematics (19)
- G100 - Mathematics11 (24)
- G000 - Mathematical sciences10 (29)
Dataset
Alrihieli, Haifaa and Rucklidge, Alastair and Subramanian, Priya (2020) Data for `Spatial localisation beyond steady states in the neighbourhood of the Takens-Bogdanov bifurcation’.14 University of Leeds. [Dataset] https://doi.org/10.5518/91315
Archer, Andrew J. and Dotera, Tomonari and Rucklidge, Alastair (2022) Dataset for "Rectangle-triangle soft-matter quasicrystals with hexagonal symmetry".16 University of Leeds. [Dataset] https://doi.org/10.5518/118817
Asker, Matthew and Hernández-Navarro, Lluís and Mobilia, Mauro (2023) Dataset for 'Coexistence of Competing Microbial Strains under Twofold Environmental Variability and Demographic Fluctuations'.18 University of Leeds. [Dataset] https://doi.org/10.5518/137119
Burge, Christina and Van Loo, Sven and Falle, Samuel and Hartquist, Thomas (2016) Ambipolar-diffusion regulated collapse of filaments.20 University of Leeds. [Dataset] https://doi.org/10.5518/7221
Carruthers, Jonathan and López-García, Martín and Gillard, Joseph J. and Laws, Thomas R. and Lythe, Grant and Molina-París, Carmen (2018) A novel stochastic multi-scale model of Francisella tularensis infection to predict risk of infection in a laboratory (computer codes).22 University of Leeds. [Dataset] https://doi.org/10.5518/35823
Castro, Mario and López-García, Martín and Lythe, Grant and Molina-París, Carmen (2018) First passage events in biological systems with non-exponential inter-event times (computer codes).24 University of Leeds. [Dataset] https://doi.org/10.5518/35925
Castro, Sofia B. S. D. and Postlethwaite, Claire M. and Rucklidge, Alastair (2025) Dataset for 'Visibility of heteroclinic networks'.26 University of Leeds. [Dataset] https://doi.org/10.5518/165227
Evans, Richard M. L. (2018) Ultimatum game steady-state and transient evolution data.28 University of Leeds. [Dataset] https://doi.org/10.5518/45829
Evans, Richard M. L. and Welsh, Tom and Hall, Craig (2016) XY model steady state phase diagram.30 University of Leeds. [Dataset] https://doi.org/10.5518/12431
Hernández-Navarro, Lluís and Asker, Matthew and Mobilia, Mauro (2023) Data set of the manuscript: Coupled environmental and demographic fluctuations shape the evolution of cooperative antimicrobial resistance.32 University of Leeds. [Dataset] https://doi.org/10.5518/136033
Hernández-Navarro, Lluís and Asker, Matthew and Mobilia, Mauro (2023) Dataset for 'Eco-evolutionary dynamics of cooperative antimicrobial resistance in a population of fluctuating volume and size'.34 University of Leeds. [Dataset] https://doi.org/10.5518/146235
López-García, Martín and King, Marco-Felipe and Noakes, Catherine J. (2019) A multicompartment SIS stochastic model with zonal ventilation for the spread of nosocomial infections: detection, outbreak management and infection control (Computer codes).36 University of Leeds. [Dataset] https://doi.org/10.5518/35537
López-García, Martín and Kypraios, Theodore (2018) A unified stochastic modelling framework for the spread of nosocomial infections (computer codes).38 University of Leeds. [Dataset] https://doi.org/10.5518/35739
Mobilia, Mauro (2023) SimData_Figs3to6.40 University of Leeds. [Dataset] https://doi.org/10.5518/131141
Subramanian, Priya and Archer, Andrew J. and Knobloch, Edgar and Rucklidge, Alastair (2016) Data associated with 'Three-dimensional Icosahedral Phase Field Quasicrystal'.42 University of Leeds. [Dataset] https://doi.org/10.5518/9543
Ward, Jonathan (2022) Benchmark testing networks and figure files.44 University of Leeds. [Dataset] https://doi.org/10.5518/107645
Ward, Jonathan (2020) Dimension-reduction of dynamics on real-world networks with symmetry - network data.46 University of Leeds. [Dataset] https://doi.org/10.5518/91147
Williams, Bevelynn and López-García, Martín and Gillard, Joseph J. and Laws, Thomas R. and Lythe, Grant and Carruthers, Jonathan and Finnie, Thomas and Molina-París, Carmen (2021) A stochastic intracellular model of anthrax infection with spore germination heterogeneity (Computer Codes).48 University of Leeds. [Dataset] https://doi.org/10.5518/102649
- 1. ./
- 2. ./
- 3. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/G120/Atom/G120.xml
- 4. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/G120/Atom/G120.xml
- 5. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/G120/RSS/G120.rss
- 6. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/G120/RSS/G120.rss
- 7. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/G120/RSS2/G120.xml
- 8. https://archive.researchdata.leeds.ac.uk/cgi/exportview/subjects/G120/RSS2/G120.xml
- 9. subjects.html
- 10. G000.html
- 11. G100.html
- 12. G121.html
- 13. G120.html
- 14. https://archive.researchdata.leeds.ac.uk/776/
- 15. https://doi.org/10.5518/913
- 16. https://archive.researchdata.leeds.ac.uk/1007/
- 17. https://doi.org/10.5518/1188
- 18. https://archive.researchdata.leeds.ac.uk/1131/
- 19. https://doi.org/10.5518/1371
- 20. https://archive.researchdata.leeds.ac.uk/82/
- 21. https://doi.org/10.5518/72
- 22. https://archive.researchdata.leeds.ac.uk/375/
- 23. https://doi.org/10.5518/358
- 24. https://archive.researchdata.leeds.ac.uk/425/
- 25. https://doi.org/10.5518/359
- 26. https://archive.researchdata.leeds.ac.uk/1382/
- 27. https://doi.org/10.5518/1652
- 28. https://archive.researchdata.leeds.ac.uk/444/
- 29. https://doi.org/10.5518/458
- 30. https://archive.researchdata.leeds.ac.uk/97/
- 31. https://doi.org/10.5518/124
- 32. https://archive.researchdata.leeds.ac.uk/1128/
- 33. https://doi.org/10.5518/1360
- 34. https://archive.researchdata.leeds.ac.uk/1209/
- 35. https://doi.org/10.5518/1462
- 36. https://archive.researchdata.leeds.ac.uk/513/
- 37. https://doi.org/10.5518/355
- 38. https://archive.researchdata.leeds.ac.uk/372/
- 39. https://doi.org/10.5518/357
- 40. https://archive.researchdata.leeds.ac.uk/1080/
- 41. https://doi.org/10.5518/1311
- 42. https://archive.researchdata.leeds.ac.uk/72/
- 43. https://doi.org/10.5518/95
- 44. https://archive.researchdata.leeds.ac.uk/945/
- 45. https://doi.org/10.5518/1076
- 46. https://archive.researchdata.leeds.ac.uk/795/
- 47. https://doi.org/10.5518/911
- 48. https://archive.researchdata.leeds.ac.uk/875/
- 49. https://doi.org/10.5518/1026