1. ABOUT THE DATASET -------------------- Title: Dataset for 'Coexistence of Competing Microbial Strains under Twofold Environmental Variability and Demographic Fluctuations' Creator(s): Asker, Matthew; Hernández-Navarro, Lluís; and Mobilia, Mauro Organisation(s): Department of Applied Mathematics, School of Mathematics, University of Leeds, Leeds LS2 9JT, U.K. Rights-holder(s): Copyright 2023 University of Leeds Publication Year: 2023 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. Cite as: Asker, Matthew; 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] doi Related publication: Asker, Matthew; Hernández-Navarro, Lluís; and Mobilia, Mauro (2023) Coupled environmental and demographic fluctuations shape the evolution of cooperative antimicrobial resistance. To be submitted. Contact: mmmwa@leeds.ac.uk, M.Mobilia@leeds.ac.uk 2. TERMS OF USE --------------- Copyright 2023 University of Leeds. This dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/ 3. PROJECT AND FUNDING INFORMATION ---------------------------------- Title: DMS-EPSRC Eco-Evolutionary Dynamics of Fluctuating Populations Dates: 2022-2025 Funding organisation: EPSRC Grant no.: EP/V014439/1 L.H.N., A.M.R and M.M. gratefully acknowledge funding from the EPSRC via the grant No. EP/V014439/1 for the project ’DMS-EPSRC Eco-Evolutionary Dynamics of Fluctuating Populations’. The support of the EPSRC Ph.D. scholarship EP/T517860/1 to M.A. is also thankfully acknowledged. 4. CONTENTS ----------- File listing Each of the files titled "Fig*.npy" (where *=2a, 2b, 2c, 3-1, 3-2, 4, 5-1, 5-2, 6-1, 6-2) provides the data used to generate the corresponding figure in the original manuscript. The number following the hyphen (where applicable) indicates the component of the figure the file corresponds to, where *-1 indicates the uppermost result, and *-2 the lowermost. To load the data: -Copy the files "Fig*.npy" to a folder in your computer. -Start a Python session running from that folder. -Import numpy and use numpy.load('Fig*.npy, allow_pickle=True) to load the data. How is data saved in each case: - Fig2a.npy, Fig2b.npy -- array of size 2, first element contains theoretical result and second contains simulation result. - Fig2c.npy -- array of size 3, first element contains theoretical result, second contains simulation result, and third contains approximate Moran result. - Fig3-1.npy, Fig3-2.npy, Fig5-1.npy, Fig5-2.npy, Fig6-1.npy, Fig6-2.npy, Fig7a.npy, Fig7b.npy -- arrays containing the corresponding heatmaps. These arrays have the structure such that array[0][i] gives the heatmap corresponding to the ith 's' value in ascending order. array[0][i][j] gives then jth 'delta_T' value in ascending order. Similarily, array[0][i][j][k] gives then the kth 'nu_T' value in ascending order. These should be plotted with the matplotlib.pyplot 'imshow' method. Fig3-2.npy and Fig5-2.npy store results as detailed in the manuscript in RGB format. Fig3-1.npy, Fig5-1.npy, Fig6-1.npy, and Fig6-2.npy store results in BGR format. Fig7a.npy and Fig7b.npy assign single values to each point corresponding to the colourbar given in the manuscript. 5. METHODS ---------- Full details of methods provided in Asker et al. (2023) Coexistence of Competing Microbial Strains under Twofold Environmental Variability and Demographic Fluctuations (to be submitted).