This file explains all of the variables in each of the datasets that accompany: Hunt TN, Allem SJ, Bejder L, Parra GJ. 2019. Assortative interactions revealed in a fission-fusion society of Australian humpback dolphins Dataset: SOCPROGinput.xls Date = date on which sighting occurred (format dd/mm/yyyy) Group = identifer for separate dolphin group sighting on a given day (e.g. 1,2,3, 4) ID = identifier of individual dolphins (e.g. S001 = 1, S111 = 111); note that ID numbers are not consecutive NB1. Input for SOCPROG contains 84 individual IDs, but note that primary GAI analyses for manuscript involved only 50 IDs (i.e. sighted greater than or equal to 5 times, 'numrec>4' NB2. This is the SOCPROG input file from which Standardised Lagged Association Rates were derived (using all 84 IDs). Dataset: SOCPROG_SuppMaterial.xls ID = identifier of individual dolphins (e.g. S001 = 1, S111 = 111); note that ID numbers are not consecutive Sex = M (male) or F (female) AHC_R = Agglomerative Hierarchical Structuring (AHC) Residency clusters (from Hunt et al. 2017), where individuals are either: 1 = long-term residents (LTR; Group A); 2 = part-time residents (PTR; Group B); or 3 = occasional residents (OCR; Group C) EW_ID = geographical coding based on an 'East West' border line in the study area, and using the Intersect tool in ArcMap we split the sightings and assigned indivduals as either: E = East, where ≥90% of an individuals’ sightings were to the east of the border line; W = West, where ≥90% of an individuals’ sightings were to the west of the border line; or EW = East-West, individuals with sightings on both sides of the border line. NB. This file is a separate file uploaded in SOCPROG to link with the primary 'SOCPROGinput.xls' file. Dataset: GAI_Home_range_overlap_Adehabitat_input.xls Latitude = GPS location in WGS84 format Longitude = GPS location in WGS84 format ID = identifier of individual dolphins (note format is 1, 2... 111; the prefix 'S' and zero's have been removed but is the same IDs as 'SOCPROGinput.xls; NB1. This is the input file for the ‘AdehabitatHR’ package (Calenge 2006) in R v 3.3.1 (R Core Team 2015) to look at individual home range overlap in the study area for use in Generalised Affiliation Indices (GAI) anlayses NB2. The 'h' smoothing factor (href) can be adjusted, and outputs imported in ArcMap 10.3 to visually assess individual home range R code: Adehabitat.R NB1. This is the R code to install the 'AdehabitatHR' package, then run the code on on the above 'GAI_Home_range_overlap_Adehabitat_input.xls'. NB2. R code contains notes and should be easily followed Dataset: GAI_Home_range overlap_UDOIh1000_SOCPROG_input.csv NB1. This file is a matrix of individuals and displays a utilization distribution overlap index (UDOI; (Fieberg et al. 2005) value, where values range from zero (no overlap) to one (uniformly distributed and 100% overlap). This UDOI provides a single measure of overlap (based on 95% UD) between two individuals, . NB2. This file has used a value of 1000 as the 'h' smoothing factor explored in 'AdehabitatHR' package (hence UDOI1000 in the filename) NB3. This file is the output from the anlaysis and code run from the'AdehabitatHR' package NB4. This file is input into SOCPROG as a predictor variable during the beginning of the GAI analysis process. Dataset: GAI_Temp_overlap_SOCPROG_input.xls Date = six separate date codings (i.e. 1/05/2013, 1/08/2013, 1/05/2014, 1/08/2014, 1/05/2015, 1/08/2015) to indicate each season across survey years (format dd/mm/yyyy) Group = single group identifier (i.e. 1) for SOCPROG input purposes, as the segragation by season is derived from the six 'Date' groups ID = identifier of individual dolphins (e.g. S001 = 1, S111 = 111); note that ID numbers are not consecutive NB.The matrix of co-occurrence referred to in mansucript is created in SOCPROG from this input file, then exported from SOCPROG (MATLAB frmat), then re-imported in to SOCPROG as a predictor variable during the beginning of the GAI analyses