Projects per year
Description
This dataset contains data generated by individual-based simulations described in the paper 'Population viscosity promotes altruism under density-dependent dispersal' by Jasmeen Kanwal and Andy Gardner. Twenty-five separate simulations were run: five different values of patch size (n = 1, 2, 3, 5, 10) each with five different values of cost of dispersal (c = 0, 0.2, 0.4, 0.6, 0.8).
The dataset consists of a compressed folder which must be unzipped to extract 50 CSV files (which can then be opened with any text editor). Each simulation generated two CSV files. The files are named using the following formats.
n_[value]_c_[value]_[date & time generated].csv - One line per generation, each with six values: population MEDIAN values for gene 1 (dispersal intercept 1), gene 2 (dispersal intercept 2), and gene 3 (level of altruism), and population MEAN values for genes 1, 2, and 3.
n_[value]_c_[value]_[date & time generated]_disp.csv - Detailed dispersal data for the last 1000 generations of a simulation run. One line per patch, each with three values: generation number, number of surviving offspring in patch, number of these that disperse.
The python code used to generate the data, and the Jupyter notebook used to analyse it, are both freely available at https://github.com/jkanwal/viscosity-promotes-altruism.
The dataset consists of a compressed folder which must be unzipped to extract 50 CSV files (which can then be opened with any text editor). Each simulation generated two CSV files. The files are named using the following formats.
n_[value]_c_[value]_[date & time generated].csv - One line per generation, each with six values: population MEDIAN values for gene 1 (dispersal intercept 1), gene 2 (dispersal intercept 2), and gene 3 (level of altruism), and population MEAN values for genes 1, 2, and 3.
n_[value]_c_[value]_[date & time generated]_disp.csv - Detailed dispersal data for the last 1000 generations of a simulation run. One line per patch, each with three values: generation number, number of surviving offspring in patch, number of these that disperse.
The python code used to generate the data, and the Jupyter notebook used to analyse it, are both freely available at https://github.com/jkanwal/viscosity-promotes-altruism.
Date made available | 8 Dec 2021 |
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Publisher | University of St Andrews |
Date of data production | 23 Mar 2021 - 26 Mar 2021 |
Projects
- 2 Finished
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SOCIOCOMPLEXITY - New Paradigms: H2020 ERC Consolidator Grant 2017
Gardner, A. (PI)
1/05/18 → 31/10/24
Project: Standard
-
NERC Fellowship: Understanding major transitions in individuality
Gardner, A. (PI)
31/03/14 → 30/04/22
Project: Standard
Research output
- 1 Article
-
Population viscosity promotes altruism under density-dependent dispersal
Kanwal, J. & Gardner, A., 9 Mar 2022, In: Proceedings of the Royal Society of London Series B: Biological Sciences. 289, 1970, 8 p., 20212668.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Datasets
-
Population viscosity promotes altruism under density-dependent dispersal (code)
Kanwal, J. K. (Creator) & Gardner, A. (Creator), GitHub, 2022
https://github.com/jkanwal/viscosity-promotes-altruism
Dataset: Software