Timescale reverses the relationship between host density and infection risk
Data files
Jul 11, 2022 version files 111.89 KB
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master_SIN_field_density_and_prevalence.xlsx
17.91 KB
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master_SIN_lab_infection_prevalence.xlsx
48.06 KB
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master_SIN_lab_spore_counts.xlsx
17.97 KB
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master_SIN_microscopic_evaluations.xlsx
15.08 KB
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README.docx
12.87 KB
Abstract
All methods related to the present data can be found in the methods and supplementary materials of Stewart Merrill et al. 2022 Proc R Soc B.
All files can be opened in Excel and contain a "metadata" tab with additional information regarding the column headers and notes for interpretation. The files (which follow the order of the methods and results in the manuscript) include:
master_SIN_lab infection prevalence.xlsx: The dataset containing infection statuses of Daphnia to experimentally assess how host density influences infection risk over time.
master_SIN_spore counts.xlsx: The dataset containing spore counts following Metschnikowia reproduction to assess the parasite's numerical response over time.
master_SIN_microscopic evaluations.xlsx: The dataset in which individual Daphnia were assessed under high magnification to groundtruth assumptions regarding safety in numbers.
master_SIN_field density and prevalence.xlsx: The dataset containing field infections used to explore safety in numbers and density-dependent transmission in the natural environment.