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dc.contributor.author Pestilli, Franco en
dc.contributor.author Caiafa, Cesar F en
dc.date.accessioned 2016-09-15T16:21:10Z en
dc.date.available 2016-09-15T16:21:10Z en
dc.date.issued 2016-09 en
dc.identifier.uri http://hdl.handle.net/2022/20995
dc.description.abstract This data set contains derivatives files (MatLab objects) generated using the encode toolbox (github.com/brain-life/encode). Files are meant to be used in combination with demo files at https://github.com/brain-life/encode/tree/toshare_sub01/scripts/demos to show how to encode a brain connectome estimated using diffusion-weighted magnetic resonance imaging technology and fiber tractography into a multidimensional array (tensor). en
dc.description.sponsorship NSF IIS 1636893, NIH ULTTR001108 en
dc.language.iso en_US en
dc.relation.uri http://purl.dlib.indiana.edu/iusw/data/2022/20995/Demo_Data_for_Multidimensional_Encoding_of_Brain_Connectomes.tar.gz en
dc.rights You are free to share under the following terms: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. en
dc.rights.uri https://creativecommons.org/licenses/by/3.0/ en
dc.subject Neuroscience en
dc.subject White matter en
dc.subject diffusion imaging en
dc.subject Magnetic resonance imaging en
dc.subject Tractography en
dc.subject Brain en
dc.title Demo Data for Multidimensional Encoding of Brain Connectomes en
dc.type Dataset en
dc.identifier.doi https://doi.org/10.5967/K8SF2T3M


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