1. study1_data.mat, variables:

	-'study1_vars' = structure containing fields which correspond to names of other variables in the file (e.g., 'demographics1')
		-each field contains a cell array, with each cell denoting a column name of the matrix stored in the variable

	-'demographics1' = matrix (nSubjects x nDemographicVars) of demographic data (ethnicity, sex, age, education, income, relationship status, # in household)

	-'covariates1' = matrix (nSubjects x nVars) of control covariates (objective isolation, depressive symptomatology, and anxiety)

	-X1 = loneliness data (nSubjects x loneliness dimension (intimate, relational, collective, total))

	-Y1 = interpersonal distance preferences (nSubjects x space dimension (intimate, relational, collective, stranger)

	-circle_num1 = the # of individuals each subject includes in social dimensions (nSubjects x nDimensions (intimate, relational, collective, stranger))

	-circle_cats1 = a structure containing counts of relationship types for each social dimension

2. study2_data.mat, variables are the same as study1_data, except '2' is used instead of '1' to denote Study 2

	-Y2b is the same as Y2, except that data comes from a continuous sliding scale measure of interpersonal distance preference, rather than an ordinal scale

3. study1_data_4R.txt:

	-a comma delimited text file for importing filtered Study 1 data to R

	-columns include: y (Interpersonal Distance Preference), subject (subject number), circle (social dimension), 
		lone (total loneliness scores), iso (objective isolation), dep (depressive symptomatology), anx (anxiety), 
		married (1 = married/civil union/cohabiting, 2 = single/divorced/widowed/separated), lonefactor (intimate, relational, & collective loneliness factors),
		sex (0 = female, 1 = male), age, edu (education level, see manuscript), income, romantic (1 = has romantic partner, 0 = does not)

4. study2_data_4R_wStranger.txt:

	-a comma delimited text file for importing filtered Study 2 data to R

	-in addition to variables/columns included for study1_data_4R, also includes:

		y_interval (interval scale interpersonal distance preference), close (social closeness - feeling close), prefClose (preference for social closeness),
		freqCont (frequency of contact - behaving close), prefCont (contact frequency preference), IOS (self-other overlap)
        
5. study2_ind_data_4R.txt:

	-a comma delimited text file for importing filtered Study 2 data to R, w/ similarly named columns to the previous 2 .txt data files
    
    	-notably, this data was only used for the Supplementary Materials section, "Extension of Findings to Individual-specific Measures"
    
    	-each observation represents ratings provided in relation to a specific individual in a participant's life, rather than to aggregate social dimensions (as in previous analyses)