Supplement 1. Scripts and multi-colony Atlantic Puffin data for running the mixed model for survival at the multi-population scale.
File List marrayp1_Fair.dat - M-arrays for the first trap-dependence age class in Fair Isle marrayp1_May.dat - M-arrays for the first trap-dependence age class in Isle of May marrayp1_Rost.dat - M-arrays for the first trap-dependence age class in Røst marrayp1_Skomer.dat - M-arrays for the first tra...
Main Authors: | , , , , , , |
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Format: | Dataset |
Language: | unknown |
Published: |
Wiley
2016
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Subjects: | |
Online Access: | https://dx.doi.org/10.6084/m9.figshare.3532094.v1 https://wiley.figshare.com/articles/dataset/Supplement_1_Scripts_and_multi-colony_Atlantic_Puffin_data_for_running_the_mixed_model_for_survival_at_the_multi-population_scale_/3532094/1 |
Summary: | File List marrayp1_Fair.dat - M-arrays for the first trap-dependence age class in Fair Isle marrayp1_May.dat - M-arrays for the first trap-dependence age class in Isle of May marrayp1_Rost.dat - M-arrays for the first trap-dependence age class in Røst marrayp1_Skomer.dat - M-arrays for the first trap-dependence age class in Skomer marrayp2_Fair.dat - M-arrays for the second trap-dependence age class in Fair Isle marrayp2_May.dat - M-arrays for the second trap-dependence age class in Isle of May marrayp2_Rost.dat - M-arrays for the second trap-dependence age class in Røst marrayp2_Skomer.dat - M-arrays for the second trap-dependence age class in Skomer SST.dat - covariate values = sea surface temperature in the vicinity of the breeding colonies multipoppuffins.R - R script which reads in the data and calls WinBUGS multipoppuffins.bug - The WinBUGS script which runs the model with sea surface temperature (SST) as a covariate and both global- and local-scale variances multipoppuffins.zip - All files at once Description All the .dat files are text files containing the data, in the form of M-arrays, described and analyzed in the original paper; multipoppuffins.R and multipoppuffins.bug are the scripts with which the model described in the original paper and in Appendix A can be built and fitted to these data. |
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