******** Guide to data files that accompany the following paper: ******** *** Joint effects of hydroperiod, UVR, zooplankton, and host diversity on amphibian chytrid *** Authors: Jessica L. Hite*, Jaime Bosch, Saioa Fernandez-Beaskoetxea, Daniel Medina, and Spencer R. Hall Please contact me if you have suggestions, find errors, or have any questions. IÕll be more than happy to help in any way that I can. Also, please let me know about your uses of these data and send any manuscripts or preprints when available. jlhite@indiana.edu **************************** CONTENTS **************************** (1). README.txt Ñ This file. Includes descriptions of the 5 spreadsheets and the Matlab code that accompany this manuscript. (2). Hite_et_al_Dryad_upload.xls Ñ Main Excel spreadsheet that contains data presented in the main bivariate analyses from the field survey (Figures 2-5). This spreadsheet contains four worksheets: ÒMainÓ: Contains the data presented in the main text for Figures 2-5. ÒRDA_Amphibian_HostsÓ: Host community data used in the Redundancy analyses. ÒRDA_ZooplanktonÓ: Zooplankton data used in the Redundancy analyses. ÒRDA_Habitat_dataÓ: Habitat data used in the Redundancy analyses. (3). Chytrid_Field_Incubation.xlsÑ Data from the in-situ field experiment presented in Figure 2d and accompanying metrics for pond temperature and photosynthetically active radiation (PAR) presented in the full ANOVA model results. Explanation of UVR Treatments: ÒUVR+PARÓ: UVR + PAR = Full Ultraviolet radiation in the UVR wavelengths and longer (less damaging) photosynthetically active (PAR) wavelengths. ÒNo UVRÓ: Control treatment where we blocked out all UVR. (4). Three Matlab files (and their respective data files) for the regression based variation partitioning. These data all come from the Main spreadsheet above Ð but they are presented here in ready-to-use format (i.e., ascii files) for the analyses in Matlab. (a). Partition_Variation_3D.m Ñ This file contains the variation partition presented in the main text (and Table S1) where infection prevalence is explained by host diversity (using SimpsonÕs index), the presence of multi-year larvae of focal hosts, and zooplankton density (L-1). CALLS: Pond_Data_3D.txt' Ñ The ascii data file used in Matlab for the regression based variation partitioning: This file contains data on Infection prevalence, Hostdiversity (SimpsonÕs Index), zooplankton density, and the presence/absence of multi-season larvae of focal hosts. (b). Partition_Variation_3D_v3_focal_host.m Ñ This file runs the same variation partition as in the main text except now, we replace host diversity with the frequency of focal hosts. These results are discussed in the Electronic Supplementary Material and presented in Table S1. CALLS: 'Pond_Data_3D_focal_hosts.txt' Ñ The ascii data file used in Matlab for the regression based variation partitioning: This file contains data on Infection prevalence, the frequency of focal hosts, zooplankton density, and the presence/absence of multi-season larvae of focal hosts. (c). Partition_Variation_3D_v3_newts.m Ñ This file runs the same variation partition as in the main text except now, we replace host diversity with the frequency of the introduced newt. These results are discussed in the Electronic Supplementary Material and presented in Table S1. CALLS: 'Pond_Data_3D_newts.txt' Ñ The ascii data file used in Matlab for the regression based variation partitioning: This file contains data on Infection prevalence, the frequency of the introduced newt, zooplankton density, and the presence/absence of multi-season larvae of focal hosts. In addition, these three Matlab files all call the following worksheets: (5). findR2_OLS.m Ñ calculates the R2 of a OLS regression used in the variation partitioning (6). venn.m Ñ plots the Venn diagram (though this figure was modified in a different program to improve presentation in the manuscript).