More dominant baboons have less and lower quality sleep
Data files
Apr 16, 2026 version files 171.15 MB
-
mc_data.csv
171.15 MB
-
README.md
2.46 KB
Abstract
The amount and quality of sleep individuals get can impact various aspects of human and non-human animal health, ultimately affecting fitness. For wild animals that sleep in groups, individuals may disturb one another, influencing sleep quality and quantity, but this aspect of social sleep has been understudied due to methodological challenges. Here, we test the hypothesis that individual’s social dominance can affect sleep opportunities, by studying sleep patterns in a troop of wild chacma baboons (Papio ursinus), a species with a strong hierarchical social structure. First, we show that the troop’s night-time sleep (determined by 40Hz acceleration data) is highly synchronised. Next, we link night-time sleep dynamics to daytime spatial networks and dominance hierarchy (from 1Hz GPS data and direct observations). We show that baboon sleep synchrony is higher between similarly ranked individuals, and unexpectedly, more dominant baboons experience less and lower-quality sleep. We propose that this hierarchy effect is explained by higher-ranked baboons resting closer to more group members, which also leads them exerting greater influence on each other’s night-time behaviour compared to lower-ranked individuals. Our study provides the first empirical evidence for the impact of social hierarchies on sleep in a wild primate, suggesting that dominance status may impose trade-offs between social rank and the quality and quantity of sleep.
Dataset DOI: 10.5061/dryad.0rxwdbsc9
Description of the data and file structure
Data about resting active/states
Data is contained in mc_data.csv
Columns explanation
id: focal individual name (12 total)
date_start_night: date the night starts dd/mm/year
id_night: night identifier (one different arbitrary value for each night)
state: false (active) true (resting)
period: if its night, dusk or morning
group_composition: string of 12 0 and 1, with 1 indicating the resting individuals (individuals are sorted by dominance)
transition: what happened: p_aa -> probability active to active, p_as -> probability active to resting, p_sa -> probability resting to active, p_ss -> probability resting to resting
tot_obs: how many observations corresponding to specific combination of response (transition) and explanatory covariate (other columns)
tot_transition: how many transitions
freq_transition: frequency of that transition (given starting state)
number_sleeping: number of resting individuals
dominance: social dominance of focal id
sex: sex of focal id
baboon: identifier id individual
name:name of baboon
fraction: fraction of resting individuals
night_duration: duration of night in seconds
mean_temp: average night temperature (Celsius)
mn_temp: minumun night temperature (Celsius)
precipitation: mm of rainfall during night
is_rain: whether it rained during the night
previous_sleep: how much rest in previous night
previous_sleep.z: standardized previous_sleep
sum_dominace: sum of dominance of resting individuals
number_sleeping_excluding_focus: number sleeping excluding focus
sum_dominance_sleep_excluding_focus: sum of dominance of resting individuals excluding focal
maximum_dominance_sleep: sum of total dominance excluding focal
proportion_dominance_sleep_excluding_focus; sum_dominance_sleep_excluding_focus/maximum_dominance_sleep
avg_dominance_sleep: sum of dominance of resting individuals / number resting
id_median_VeDBA: median individual vector of dynamic body acceleration (VeDBA)
id_mean_VeDBA: mean individual vector of dynamic body acceleration (VeDBA)
date_median_VeDBA_night: median VDBA for the night for a date
date_median_VeDBA_day: median VDBA for the day for a date
date_mean_VeDBA_night: mean VDBA for the night for a date
date_mean_VeDBA_day: mean VDBA for the day for a date
