This data package consists of 2 zipped folders (variableSh2data.zip [15000 files] and variablepopSizenumLocidata.zip [2400 files]) containing the simulated data sets used to give maximum likelihood estimates reported in the paper by McClure and Whitlock entitled "Multilocus estimation of selfing and its heritability". ID's: popSize = population size or sample size of data set numLoci = number of loci sampled for each individual in popSize Some package details: 1. Please see the paper for details of simulations. 2. Each data set is saved as a .csv file: The first column is not used in analysis but is used here to provide id's of the individuals in the data set. The first row (header) is also not used in analysis but gives the column names (Li_1/2 for locus i at position 1 or 2). Each row from row2 to row(popSize+1) is the genotype of an individual. The allelic information of a locus (in numLoci) is reported by a pair of columns in the data set starting from column2 and finishing at column(numLoci*2+1) {locus1 = column2 and column3, locus2 = column4 and column5, ...., locus(n) = column(numLoci*2) and column(numLoci*2+1)}. At each locus, allelic information is stored by entering "0" for type1 allele and "1" for type2 allele. There are no missing values. The last column (named ParentSelfed) indicates whether the parent of each individual in the data set reproduced by outcrossing (=0) or selfing (=1). 3. All variable S and h2 data sets from variableSh2data.zip use the naming scheme: variable_Sh2data_SX_h2Y_numLoci10_popSize1000_repJof1000_withScoringError.csv This data was used to give estimates of bias and RMSE reported in Tables 1 and 4. 4. All variable population size and number of loci data data sets from (variablepopSizenumLocidata.zip) use the naming scheme: variable_popSizenumLocidata_S0.1_h20.5_numLociL_popSizeN_repJof100_withScoringError.csv This data was used to give estimates of bias and RMSE reported in Tables 2 and 3. 5. R code for MESH is provided in the supplementary information. Thanks for your interest. Feel free to email me any comments, suggestions or questions you may have. -Nathan McClure Primary email: nsmcclure@gmail.com alternatively: nathan.mcclure@queensu.ca (for now)