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Data from: Can pathogens optimise both proliferation and dispersal by leveraging the sex of their infected hosts?

dataset
posted on 08.03.2019 by Louise Nørgaard, Ben Phillips, Matthew Hall
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:

Title: Nörgaard-et-al-prob-dispersal.csv
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).

Title: Nörgaard-et-al-cumul-patches.csv
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).

Title: Nörgaard-et-al-spore-tot-dist.csv
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).

Funding

A model system for evolution on invasion fronts

Australian Research Council

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