GNU General Public License v3 Yes NINET Lab, University of British Columbia NITRC Volume and Surface-based Cortical Morphological Networks in Healthy Young Adults The cortical morphological networks were generated by source-based morphometry using the T1-weighted MRI data from the Human Connectome Project. One volume-based (cortical volume) and four surface-based metrics (cortical thickness, gyrification index, sulcal depth, and fractal dimension) were used to quatify the structural covariance between different brain regions among the population. A manuscript is accepted for publication: R. Ge, X. Liu, D. Long, S. Frangou, and F. Vila-Rodriguez, Sex Effects on Cortical Morphological Networks in Healthy Young Adults, NeuroImage, Accepted. 2020-12-08 cortical morphological networks Volume and Surface-based Cortical Morphological Networks in Healthy Young Adults MR, GNU General Public License v3 http://dev.nitrcce.org/projects/sbn_2020/, http://http://www.nitrc.org/projects/sbn_2020/