Attribution Yes Vanderbilt University NITRC Pandora White Matter Atlas Kurt Schilling This is a population-based collection of white matter atlases represented in both volumetric and surface coordinates in a standard space. These atlases are based on 2443 subjects, and include 216 white matter fascicles derived from 6 different state-of-the-art tractography techniques: Automated Fiber-tract Quantification, Automated Fiber-tract Quantification clipped, Recobundles, Tracula, TractSeg, and Xtract. This work is licensed under a Creative Commons Attribution 4.0 International License. 2020-6-18 v1.0 Pandora White Matter Atlas MR, Attribution http://dev.nitrcce.org/projects/pandora_atlas/, http://http://www.nitrc.org/projects/pandora_atlas/ kurt.g.schilling@vanderbilt.edu.nospam