Research Data Leeds Repository
Items where Subject is "G000 - Mathematical sciences > G100 - Mathematics > G120 - Applied mathematics"
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- Joint Academic Coding System (JACS) (944)
- G000 - Mathematical sciences (27)
- G100 - Mathematics (23)
- G120 - Applied mathematics (18)
- G100 - Mathematics (23)
- G000 - Mathematical sciences (27)
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’. University of Leeds. [Dataset] https://doi.org/10.5518/913
Archer, Andrew J. and Dotera, Tomonari and Rucklidge, Alastair (2022) Dataset for "Rectangle-triangle soft-matter quasicrystals with hexagonal symmetry". University of Leeds. [Dataset] https://doi.org/10.5518/1188
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/10.5518/1371
Burge, Christina and Van Loo, Sven and Falle, Samuel and Hartquist, Thomas (2016) Ambipolar-diffusion regulated collapse of filaments. University of Leeds. [Dataset] https://doi.org/10.5518/72
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). University of Leeds. [Dataset] https://doi.org/10.5518/358
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). University of Leeds. [Dataset] https://doi.org/10.5518/359
Evans, Richard M. L. (2018) Ultimatum game steady-state and transient evolution data. University of Leeds. [Dataset] https://doi.org/10.5518/458
Evans, Richard M. L. and Welsh, Tom and Hall, Craig (2016) XY model steady state phase diagram. University of Leeds. [Dataset] https://doi.org/10.5518/124
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. University of Leeds. [Dataset] https://doi.org/10.5518/1360
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'. University of Leeds. [Dataset] https://doi.org/10.5518/1462
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). University of Leeds. [Dataset] https://doi.org/10.5518/355
López-García, Martín and Kypraios, Theodore (2018) A unified stochastic modelling framework for the spread of nosocomial infections (computer codes). University of Leeds. [Dataset] https://doi.org/10.5518/357
Mobilia, Mauro (2023) SimData_Figs3to6. University of Leeds. [Dataset] https://doi.org/10.5518/1311
Subramanian, Priya and Archer, Andrew J. and Knobloch, Edgar and Rucklidge, Alastair (2016) Data associated with 'Three-dimensional Icosahedral Phase Field Quasicrystal'. University of Leeds. [Dataset] https://doi.org/10.5518/95
Ward, Jonathan (2022) Benchmark testing networks and figure files. University of Leeds. [Dataset] https://doi.org/10.5518/1076
Ward, Jonathan (2020) Dimension-reduction of dynamics on real-world networks with symmetry - network data. University of Leeds. [Dataset] https://doi.org/10.5518/911
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). University of Leeds. [Dataset] https://doi.org/10.5518/1026