Dataset of alpha (i.e., S.rar.z, H.rar.z, TD.z) and beta (PhBD.z, LCBD.z, BC.d.z) diversity metrics, environmental variables (i.e., Pond_size, ECELS, TRIX) and centrality metrics (i.e., degree, closeness, betweenness) for 6 different set of regression models (i.e., 2 network approaches x 3 community datasets) from 4 pondscapes (i.e., Albera, Giara, Guils and Vila Nova). The first Excel sheet named “entire com-contingent” contains both the explanatory and response variables used to run the regression models for alpha and beta diversity metrics using the entire community dataset and the community-contingent approach. The second sheet named “entire com-percola” contains both the explanatory and response variables used to run the regression models for alpha and beta diversity metrics using the entire community dataset and the percolation approach. The third sheet named “act disp-contingent” contains both the explanatory and response variables used to run the regression models for alpha and beta diversity metrics using the active dispersers community dataset and the community-contingent approach. The fourth sheet named “act disp-percola” contains both the explanatory and response variables used to run the regression models for alpha and beta diversity metrics using the active dispersers community dataset and the percolation approach. The fifth sheet named “pass disp-contingent” contains both the explanatory and response variables used to run the regression models for alpha and beta diversity metrics using the passive dispersers community dataset and the community-contingent approach. The sixth sheet named “pass disp-percola” contains both the explanatory and response variables used to run the regression models for alpha and beta diversity metrics using the passive dispersers community dataset and the percolation approach. From the seventh to the tenth sheet, you can find the UTM coordinates for each of the waterbodies that encompass the spatial network in each pondscape: Albera (AL), Giara di Gesturi (GG), Guils de Cerdanya (GU) and Vila Nova de Milfontes (VM), respectively.

RStudio, R version 4.2.2