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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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 . 2022
License: CC BY
Data sources: ZENODO
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Data and code for 'Age structure of amphibian populations with endemic chytridiomycosis, across climatic regions with markedly different infection risk'

Authors: Turner, Anna; Heard, Geoffrey; Hall, Andrew; Wassens, Skye;

Data and code for 'Age structure of amphibian populations with endemic chytridiomycosis, across climatic regions with markedly different infection risk'

Abstract

This repository provides all data and R code from the analysis presented in the following paper: Turner, A., Heard, G., Hall, A., Wassens, S. (in review). Age structure of amphibian populations with endemic chytridiomycosis, across climatic regions with markedly different infection risk. The data are provided as a series of .csv files, R script and two zip folders of R packages (Surv_mod and VB_mod) 1. Skeleto_dat_ready_Jan2021.csv Data from frog surveys conducted by Anna Turner 2. Geoffs_data.csv Data from frog surveys conducted by Geoff Heard 3. Environmental_variables_skeleto.csv Environmental data collected during surveys 4. sk.dat_July21.csv Collated data from Anna and Geoff - created by 'Data_collation_for_analysis_2.R' ready for analysis 5. Variables_that_are_highly_correlated_with_each_other_season_wide.csv Testing for correlation 6. Model_structure_skeleto_2.csv creates model structure for analysis 7. Model_selection_statistics_June_21.csv Output from model R code is provided seperately for each of the following components: 1. Data_collation_for_analysis_2.R Collating data from Anna and Geoffs datasets 2. Skeleto_analysis_5.R - First uses regression modelling to explore factors correlated with variation in age - Following Scheele et al. (2016) regression models with a poisson distribution - Use bayesian non-linear regression to fit the Von Bertalanffy growth model to size-at-age data - Plots male and female growth curves - Uses catch curve approach to estimate survival from best fitting regression model following Scroggie (2012) but with bayesian implementation

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Keywords

survival rate, disease, growth model, population demographics, age structure, chytrid fungus, Von Bertalanffy, frog

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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.
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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.
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