Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Data and code for 'Synergies between disease and urbanization drive the decline of threatened amphibian populations'

Authors: Heard, Geoffrey; Robertson, Peter; Scroggie, Michael; Parris, Kirsten; McCarthy, Michael; Keely, Claire; West, Matt; +1 Authors

Data and code for 'Synergies between disease and urbanization drive the decline of threatened amphibian populations'

Abstract

This archive provides all code and data necessary to reproduce the analyses in Heard et al. (submitted). 'Synergies between disease and urbanization drive the decline of threatened amphibian populations'. All code is in the form of R scripts, with scripts for the occupancy modelling itself, plus the fitting of the sub-models that contribute covariates to the occupancy model; namely, scripts for fitting the model of seasonal chytrid prevalence, site hydrology and dispersal probability between sites. An R script is also provided to complete the simulations to estimate equilibrium occupancy under the alternate scenarios considered in the paper. Model fitting relies on the MultiBUGS package, called from R. MultiBUGS is a parallel implementation of OpenBUGS (formerly WinBUGS) and allows for parallel computation of MCMC sampling. MultiBUGS can be found here: https://www.multibugs.org/

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average