Data underlying the publication titled: "Cooperator intermixing is an effective competitive strategy against cheaters"

DOI:10.4121/fd53421f-738a-4b60-836e-f8c68ae6a1c3.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/fd53421f-738a-4b60-836e-f8c68ae6a1c3

Datacite citation style

Idema, Timon; Los, Rachel (2025): Data underlying the publication titled: "Cooperator intermixing is an effective competitive strategy against cheaters". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/fd53421f-738a-4b60-836e-f8c68ae6a1c3.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Data from individual-based simulations interacting spherocylindrical particles growing and dividing on a surface. We simulate a cross-feeding consortium of two cooperating species and a cheater species. We look at how the parameters of the interaction result in patterning of the colony, where stronger cooperation leads to more mixing between the cooperators. We try this for different combinations of shapes, interaction strengths and When cheaters are added they do not mix with the cooperators.

History

  • 2025-01-31 first online, published, posted

Publisher

4TU.ResearchData

Format

.json, .txt, .xyz

Organizations

Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology

DATA

Files (5)