Dataset and code used in the temporal seed dispersal multilayer network Costa et al. 2020 Journal of Ecology

Dataset and code supporting the results from Costa et al. (2020) Species temporal persistence promotes the stability of fruit-frugivore interactions across a five-year multilayer network, Journal of Ecology.<br>- Dataset.xlsx: File containing the data used to calculate monolayer species- and network-level descriptors, in statistical analysis, and to create Figures 2, S1, S2, and S3. More details in the file “R script.R”.<br>- R script. R: Contains all the R code used in the study<br>- Multilayer_temporal_data.csv: Used to calculate multilayer modularity<br>- DisperserAbundanceMatrix.txt: Contains the mean number of birds captured per day in each year. It is used to calculate the interlayer link strength for each bird species between sequential networks<br>- SeedsAbundanceMatrix.txt: Contains the mean number of fruits counted in the transects in each year. It is used to calculate the interlayer link strength for each plant species between sequential networks<br>- modularity_weighted_multilayer_obs.m: Matlab code to calculate the observed multilayer modularity.<br>- modularity_weighted_multilayer_null1.m: Matlab code to calculate the multilayer modularity of the null model where observed intralayer links were randomly reshuffled while keeping marginal totals fixed. - GenLouvain2.0.zip: Contains the Matlab code to run the Generalized Louvain algorithm in order to calculate multilayer modularity. The R code used to compute multilayer modularity was adapted from Pilosof et al. (2017) and all Matlab code used here is available in Pilosof (2017). Please, if you use any of these codes, cite (when applicable) the following works:<br>Jutla, I. S., Jeub, L. G. S. &amp; Mucha, P. J. (2014) A generalized Louvain method for community detection implemented in MATLAB, http://netwiki.amath.unc.edu/GenLouvain (2011-2014).<br>Pilosof, S., Porter, M. A., Pascual, M. &amp; Kéfi, S. (2017) The multilayer nature of ecological networks. Nature Ecology &amp; Evolution, 1, 0101. https://doi.org/10.1038/s41559-017-0101<br>Pilosof, Shai (2017): Matlab code for calculating of modularity in bipartite networks. Original publication: Pilosof et al. (2017), Nature Ecology &amp; Evolution. figshare. Dataset. https://doi.org/10.6084/m9.figshare.3472679.v3