The repository contains example data used in tutorial of HEIG v1.2.0. Note, this data is not compatible with v1.0.0, and some options are supported in v1.1.0. HEIG is a statistical framework for efficiently conducting joint analysis for large-scale imaging and genetic data. The dataset has the following file structures: input images1: 500 simulated images images2: 500 simulated images genotype: genotype data in PLINK bfile misc: miscellaneous files ldr_sumstats: 19 LDR GWAS summary statistic files of the superior fronto-occipital fasciculus ld_regu8580: LD matrices with regularization {85%,80%}, including ~460,000 genotype array SNPs ld_regu7570: LD matrices with regularization {75%,70%}, including ~460,000 genotype array SNPs visualization: example files for visualization output fpca: results of functional PCA genotype: hail.MatrixTable of genotype data gwas: LDR GWAS results generated by HEIG herigc: results of heritability and (cross-trait) genetic correlation analysis images: preprocessed 1000 images in H5DF file ldr: LDRs constructed from 1000 images sumstats: preprocessed 19 LDR GWAS summary statistic files of the superior fronto-occipital fasciculus visualization: visualization results voxelgwas: voxel-level GWAS results The results in ouput are produced by data in input, which can verify if the user runs the code correctly.