DOI: 10.5061/dryad.013d5
title: Data from: Family network size and survival across the lifespan of female macaques

description: Two decades of research suggest social relationships have a common
 evolutionary basis in humans and other gregarious mammals. Critical to the
 support of this idea is growing evidence that mortality is influenced by
 social integration, but when these effects emerge and how long they last
 is mostly unknown. Here, we report in adult female macaques that the
 impact of number of close adult female relatives, a proxy for social
 integration, on survival is not experienced uniformly across the life
 course; prime-aged females with a greater number of relatives had better
 survival outcomes compared with prime-aged females with fewer relatives,
 whereas no such effect was found in older females. Group size and
 dominance rank did not influence this result. Older females were less
 frequent targets of aggression, suggesting enhanced experience navigating
 the social landscape may obviate the need for social relationships in old
 age. Only one study of humans has found age-based dependency in the
 association between social integration and survival. Using the largest
 dataset for any non-human animal to date, our study extends support for
 the idea that sociality promotes survival and suggests strategies employed
 across the life course change along with experience of the social world.
description: Brent et al.
 Survival_FamilySizeData Frame, 9 columns: A
 = Animal ID, B = year, C= survival outcome, D = age at time X, E = age at
 time X+1, F = number of adult female relatives (r &gt; 0.063) at timeX, G
 = number of adult female reltiaves (r &gt; 0.125) at timeX, H = number of
 adult female reltiaves (r &gt; 0.25) at timeX, I = number of adult female
 reltiaves (r = 0.5) at timeX.Brent et al.
 Survival_GroupSizeData frame for survival
 relative to group size, 11 columns: A = animal ID, B = year, C = group
 size, including all animals, D = group size, adult females only, E =
 survival outcome, F = age at time X, G = age at time X+1, H = number of
 adult female reltiaves (r &gt; 0.063) at timeX, I = number of adult female
 reltiaves (r &gt; 0.125) at timeX, J = number of adult female reltiaves (r
 &gt; 0.25) at timeX, K = number of adult female reltiaves (r =0.5 ) at
 timeX,Brent et al.
 Survival_MatrilinealRankDataframe for survival
 relative to matrilineal rank, 10 columns: A = animal ID, B = year, C =
 survival status, D = age at time X, E = age at time X+1, F = matrilineal
 rank (L = low rank, H = high rank), G = number of adult female reltiaves
 (r &gt; 0.063) at timeX, H = number of adult female reltiaves (r &gt;
 0.125) at timeX, I = number of adult female reltiaves (r &gt; 0.25) at
 timeX, J = number of adult female reltiaves (r =0.5) at
 timeX,Brent et al. Behaviour
 vs AgeDataframe for social
 behaviours relative to age, 9 columns: A = animal ID, B = year, C = age in
 year, D = number of adult female relatives (r &gt; 0.063), E = dominance
 rank in year (L = low ranking, H = high ranking), F = z-score for rate of
 grooming received from others, G = z-score for rate of grooming given to
 others, H = z-score for rate of aggression received from others, I =
 z-score for rate of aggression given to others.