Long-Tailed Macaque Social Behavior and Gut Microbiome Data

Multiple datasets and R code accompany a study on how individual social behavior influences gut microbiomes in long-tailed macaques living in human-impacted environments. The data includes files for running Joint Species Distribution Models, phylogenetic distance matrices, and individual-level bipartite networks. The work is authored by Dr. Krishna Balasubramaniam and is under a CC-BY-4.0 license.

Use Cases

• Modeling associations between social behavior and microbial communities using Joint Species Distribution Models (JSDMs).
• Analyzing bacterial co-occurrence patterns via residual correlation matrices.
• Constructing and testing individual-level bipartite networks between hosts and Amplicon Sequence Variants (ASVs).
• Partitioning variance in microbiome composition attributed to different covariates.

Strengths

• Includes multiple complementary data files (JSDM inputs, phylogenetic matrices, network data) for a holistic analysis.
• Provides accompanying R code for reproducibility of statistical and network analyses.
• Released under a permissive CC-BY-4.0 license for open use.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The manuscript is noted as 'in preparation', suggesting the analysis may be preliminary.

Provenance

Source

figshare

Collection Method

Data likely collected from field studies of long-tailed macaques in anthropogenic environments.

Freshness

Last updated 2026-05-20 10:33:47; freshness should be verified.