These datasets constitute host, environmental, and picobirnaviral (PbV) co-occurrence on populations of wild rhesus macaques across multiple urban and peri-urban/rural locations in Bangladesh of varying anthropogenic impact. Spreadsheets in .csv format represent (items 1-6) bipartite matrices of picobirnavirus Operational Taxonomic Units (OTUs, assigned based on sequence similarity cut-offs of both 96% and 88%) in the columns, and hosts' social organisational entities (individual macaques, groups, and sites) in the rows, and with binary (1/0) entries in the cells indicating the occurrence versus non-occurrence of specific OTUs within specific hosts. Items 7 - 12 indicate unipartite PbV co-occurrence networks represented as square matrices obtained from each of the bipartite networks. Items 13-15 are host networks or matrices that indicate macaque groups located within the same (1) versus across different (0) sites, as well as inter-site geographic distances. Items 16 and 17 indicate phylogenetic distance matrices of PbV OTUs. Items 18-27 indicate datasets used in Joint Species Distributions Models (JSDMs) to evaluate the effects of host, environmental, and viral co-variates on PbV OTU assemblages. Items 28 and 29 constitute the R code used to conduct SNA and JSDM analyses in support of testing our predictions related to the deterministic host, environmental, and microbial factors that influence viral co-occurrence and community ecology.

These datasets constitute host, environmental, and picobirnaviral (PbV) co-occurrence on populations of wild rhesus macaques across multiple urban and peri-urban/rural locations in Bangladesh of varying anthropogenic impact. Spreadsheets in .csv format represent (items 1-6) bipartite matrices of picobirnavirus Operational Taxonomic Units (OTUs, assigned based on sequence similarity cut-offs of both 96% and 88%) in the columns, and hosts' social organisational entities (individual macaques, groups, and sites) in the rows, and with binary (1/0) entries in the cells indicating the occurrence versus non-occurrence of specific OTUs within specific hosts. Items 7 - 12 indicate unipartite PbV co-occurrence networks represented as square matrices obtained from each of the bipartite networks. Items 13-15 are host networks or matrices that indicate macaque groups located within the same (1) versus across different (0) sites, as well as inter-site geographic distances. Items 16 and 17 indicate phylogenetic distance matrices of PbV OTUs. Items 18-27 indicate datasets used in Joint Species Distributions Models (JSDMs) to evaluate the effects of host, environmental, and viral co-variates on PbV OTU assemblages. Items 28 and 29 constitute the R code used to conduct SNA and JSDM analyses in support of testing our predictions related to the deterministic host, environmental, and microbial factors that influence viral co-occurrence and community ecology.

These datasets constitute host, environmental, and picobirnaviral (PbV) co-occurrence on populations of wild rhesus macaques across multiple urban and peri-urban/rural locations in Bangladesh of varying anthropogenic impact. Spreadsheets in .csv format represent (items 1-6) bipartite matrices of picobirnavirus Operational Taxonomic Units (OTUs, assigned based on sequence similarity cut-offs of both 96% and 88%) in the columns, and hosts' social organisational entities (individual macaques, groups, and sites) in the rows, and with binary (1/0) entries in the cells indicating the occurrence versus non-occurrence of specific OTUs within specific hosts. Items 7 - 12 indicate unipartite PbV co-occurrence networks represented as square matrices obtained from each of the bipartite networks. Items 13-15 are host networks or matrices that indicate macaque groups located within the same (1) versus across different (0) sites, as well as inter-site geographic distances. Items 16 and 17 indicate phylogenetic distance matrices of PbV OTUs. Items 18-27 indicate datasets used in Joint Species Distributions Models (JSDMs) to evaluate the effects of host, environmental, and viral co-variates on PbV OTU assemblages. Items 28 and 29 constitute the R code used to conduct SNA and JSDM analyses in support of testing our predictions related to the deterministic host, environmental, and microbial factors that influence viral co-occurrence and community ecology.

These datasets constitute host, environmental, and picobirnaviral (PbV) co-occurrence on populations of wild rhesus macaques across multiple urban and peri-urban/rural locations in Bangladesh of varying anthropogenic impact. Spreadsheets in .csv format represent (items 1-6) bipartite matrices of picobirnavirus Operational Taxonomic Units (OTUs, assigned based on sequence similarity cut-offs of both 96% and 88%) in the columns, and hosts' social organisational entities (individual macaques, groups, and sites) in the rows, and with binary (1/0) entries in the cells indicating the occurrence versus non-occurrence of specific OTUs within specific hosts. Items 7 - 12 indicate unipartite PbV co-occurrence networks represented as square matrices obtained from each of the bipartite networks. Items 13-15 are host networks or matrices that indicate macaque groups located within the same (1) versus across different (0) sites, as well as inter-site geographic distances. Items 16 and 17 indicate phylogenetic distance matrices of PbV OTUs. Items 18-27 indicate datasets used in Joint Species Distributions Models (JSDMs) to evaluate the effects of host, environmental, and viral co-variates on PbV OTU assemblages. Items 28 and 29 constitute the R code used to conduct SNA and JSDM analyses in support of testing our predictions related to the deterministic host, environmental, and microbial factors that influence viral co-occurrence and community ecology.