Data from: Opening the file drawer: Unexpected insights from a chytrid infection experiment

Allison Q. Byrne, Thomas J. Poorten, Jamie Voyles, Craig K.R. Willis, Erica Bree Rosenblum & Craig K. R. Willis
Infection experiments are critical for understanding wildlife disease dynamics. Although infection experiments are typically designed to reduce complexity, disease outcomes still result from complex interactions between host, pathogen, and environmental factors. Cryptic variation across factors can lead to decreased repeatability of infection experiments within and between research groups and hinder research progress. Furthermore, studies with unexpected results are often relegated to the “file drawer” and potential insights gained from these experimental outcomes are lost. Here,...
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These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?