.zenodo.json

{
  "contributors": [
    {
      "affiliation": "The University of Washington, eScience Institute",
      "name": "Kruper, John",
      "type": "Researcher"
    },
    {
      "affiliation": "The University of Washington, eScience Institute",
      "name": "Richie-Halford, Adam",
      "orcid": "0000-0001-9276-9084",
      "type": "Researcher"
    },
    {
      "affiliation": "Montreal Neurological Institute",
      "name": "Kiar, Greg",
      "orcid": "0000-0001-8915-496X",
      "type": "Researcher"
    },
    {
      "affiliation": "The University of Washington, eScience Institute",
      "name": "Keshavan, Anisha",
      "orcid": "0000-0003-3554-043X",
      "type": "Researcher"
    },
    {
      "affiliation": "Champalimaud Center for the Unknown",
      "name": "Neto Henriques, Rafael",
      "type": "Researcher"
    },
    {
      "affiliation": "The University of Washington",
      "name": "Huber, Libby",
      "type": "Researcher"
    },
    {
      "name": "Cipollini, Ben",
      "type": "Researcher"
    },
    {
        "name": "Neef, Andreas",
        "type": "Researcher"
    }
  ],
  "creators": [
    {
      "affiliation": "Stanford University",
      "name": "Yeatman, Jason",
      "orcid": "0000-0002-2686-1293"
    },
    {
      "affiliation": "The University of Washington eScience Institute",
      "name": "Rokem, Ariel",
      "orcid": "0000-0003-0679-1985"
    }
  ],
  "description": "<p>pyAFQ is a program and software library for analysis of white matter connections in the human brain measured with diffusion MRI</p>",
  "keywords": [
    "neuroimaging",
    "dMRI",
    "tractography"
  ],
  "license": "BSD-3-Clause",
  "related_identifiers": [
    {
      "identifier": "http://yeatmanlab.github.io/pyAFQ",
      "relation": "isPartOf",
      "scheme": "url"
    }
  ],
  "title": "pyAFQ: Automated Fiber Quantification in Python",
  "upload_type": "software"
}