Data

Data and code for 'Connectivity over a disease gradient enables recovery of rainforest frogs'

Charles Sturt University
Bell, Sara C. ; Heard, Geoffrey W. ; Berger, Lee ; Skerratt, Lee F.
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5281/zenodo.3402153&rft.title=Data and code for 'Connectivity over a disease gradient enables recovery of rainforest frogs'&rft.identifier=10.5281/zenodo.3402153&rft.publisher=Zenodo&rft.description=This repository provides all data and R code from the analysis presented in the following paper: Bell, S.C., Heard, G.W., Berger, L. and Skerratt, L.F. (in review). Connectivity over a disease risk gradient enables recovery of rainforest frogs. The data are provided as a series of .csv files. R code is provided separately for each of the following components: 1. A script to collate nightly air temperature data from stream-side temperature loggers, plus daily maximum air temperature data from the nearest Australian Bureau of Meteorology recording station to each site. 2. A script to fit a hierarchical linear model to the stream-side air temperature, with the aid of the R2OpenBUGS package. 3. A script to fit a hierarchical logistic regression model to the chytrid infection data, with the aid of the R2OpenBUGS package. 4. A script to fit logistic regression models to the frog occupancy data, with the aid of the R2OpenBUGS package. These files allow all analyses from the paper to be reproduced.&rft.creator=Bell, Sara C. &rft.creator=Heard, Geoffrey W. &rft.creator=Berger, Lee &rft.creator=Skerratt, Lee F. &rft.date=2019&rft_subject=chytrid fungus, frog, disease, recovery, temperature, refuge, recolonisation&rft.type=dataset&rft.language=English Access the data

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This repository provides all data and R code from the analysis presented in the following paper: Bell, S.C., Heard, G.W., Berger, L. and Skerratt, L.F. (in review). Connectivity over a disease risk gradient enables recovery of rainforest frogs. The data are provided as a series of .csv files. R code is provided separately for each of the following components: 1. A script to collate nightly air temperature data from stream-side temperature loggers, plus daily maximum air temperature data from the nearest Australian Bureau of Meteorology recording station to each site. 2. A script to fit a hierarchical linear model to the stream-side air temperature, with the aid of the R2OpenBUGS package. 3. A script to fit a hierarchical logistic regression model to the chytrid infection data, with the aid of the R2OpenBUGS package. 4. A script to fit logistic regression models to the frog occupancy data, with the aid of the R2OpenBUGS package. These files allow all analyses from the paper to be reproduced.

Notes

External Organisations
James Cook University; University of Melbourne
Associated Persons
Sara C. Bell (Creator); Lee Berger (Creator); Lee F. Skerratt (Creator)

Issued: 2019-09-07

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