Data and Code for: Food distribution, but not market forces, predict behavioral social tolerance in rhesus macaques

Social inequality in primates is marked by dominance-based resource monopolization. Yet, high-ranking individuals sometimes yield to lower-ranking individuals to promote group stability, indicative of behavioral social tolerance. Social tolerance is dynamic and is shaped by resource availability, group structure, hierarchy steepness, and kinship. Increasing social tolerance around resource access may promote group stability and improve individual well-being. The multifaceted nature of behavioral social tolerance means we still lack a full understanding of its temporal, individual, and social drivers and whether modifications in resource distribution promote or hinder tolerant behavior in unequal societies. We tested whether decentralizing food resources improved behavioral social tolerance via two measures: reduced aggression and increased co-feeding through the study of a large group of outdoor-housed rhesus macaques (Macaca mulatta), a macaque species typified by low social tolerance...., , # Data and Code for: Food distribution, but not market forces, predict behavioral social tolerance in rhesus macaques

Dataset DOI: [10.5061/dryad.rjdfn2zr1](https://doi.org/10.5061/dryad.rjdfn2zr1)

## Description of the data and file structure

Four data files and an R Notebook used in the publication are included. Each of the two model sets has two data files: one for the Fall iteration of the study and one for the Spring iteration of the study.

### Files and variables

#### File: fall_mod1.csv

**Description:** 

Data file used for Model Set 1: *Temporal variation and rank effects in co-feeding and aggression dynamics*

Study Iteration = Fall

##### Variables

* ID: Individual ID
* Period: Study period (Baseline, Experimental, Followup)
* Iteration: Replicate (Fall or Spring)
* AM_PM: Time of day (AM or PM)
* conf_deg: Aggression degree centrality
* coF_deg: Co-feeding degree centrality
* Rank: Dominance rank
* Sex: Sex (M or F)
* Age: Age (Years)
* Obs_days: Count of individual-l...,