Data from: Can pathogens optimise both proliferation and dispersal by leveraging the sex of their infected hosts?
datasetposted on 08.03.2019, 08:37 by Louise Nørgaard, Ben Phillips, Matthew Hall
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Data for an upcoming publication:
Nørgaard, L. S., Phillips, B. L. and M. D. Hall. Can pathogens optimise both proliferation and dispersal by leveraging the sex of their infected hosts?
Files in this package:
Description: Data for the probability of dispersal from a crowded patch to an empty neighbouring patch. Listed are each population (Population_ID), the number of successful dispersal events (Successes), the total number of individuals (Total), the sex of the host (Sex, M or F), and their infection status (Inf, Y or N).
Description: The cumulative number of patches (Cumul_patch) host travelled in the continuous microcosms as a function of time (number of days, Day_number), pathogen genotype (Pathogen_genotype) and host sex (Sex).
Description: Overall spore loads and total distance traveled at host death or the end of the experiment. Variables include, Individual ID, total patches travelled (total_patch), mean spore loads (mean_spores), pathogen genotype (Pathogen_genotype) and host sex (Sex).
A model system for evolution on invasion fronts
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