Data from: Biological and statistical processes jointly drive population aggregation: using host–parasite interactions to understand Taylor's power law

Johnson PTJ, Wilber MQ

Date Published: August 16, 2017

DOI: https://doi.org/10.5061/dryad.r08t9

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title Feasible set analysis for host-parasite Taylor's Power Law
Downloaded 17 times
Download prsb_datafiles.zip (54.22 Kb)
Download README.txt (2.574 Kb)
Details View File Details

When using this data, please cite the original publication:

Johnson PTJ, Wilber MQ (2017) Biological and statistical processes jointly drive population aggregation: using host–parasite interactions to understand Taylor's power law. Proceedings of the Royal Society B 284(1863): 20171388. https://doi.org/10.1098/rspb.2017.1388

Additionally, please cite the Dryad data package:

Johnson PTJ, Wilber MQ (2017) Data from: Biological and statistical processes jointly drive population aggregation: using host–parasite interactions to understand Taylor's power law. Dryad Digital Repository. https://doi.org/10.5061/dryad.r08t9
Cite | Share
Download the data package citation in the following formats:
   RIS (compatible with EndNote, Reference Manager, ProCite, RefWorks)
   BibTex (compatible with BibDesk, LaTeX)

Search for data

Be part of Dryad

We encourage organizations to: