{
  "@type": "dcat:Dataset",
  "accessLevel": "public",
  "bureauCode": [
    "006:55"
  ],
  "contactPoint": {
    "fn": "William D. Ratcliff",
    "hasEmail": "mailto:william.ratcliff@nist.gov"
  },
  "description": "This is a repository for using semi-supervised learning to classify diffraction patterns",
  "distribution": [
    {
      "accessURL": "https://doi.org/10.18434/mds2-2496",
      "title": "DOI Access for Semi-Supervised-Learning-for-Diffraction"
    },
    {
      "accessURL": "https://github.com/usnistgov/semi-supervised-neutron",
      "description": "Semi-supervised Learning for neutron diffraction",
      "title": "Semi-supervised Learning for neutron diffraction"
    }
  ],
  "identifier": "ark:/88434/mds2-2496",
  "issued": "2021-11-09",
  "keyword": [
    "artificial intelligence",
    "crystallography",
    "neutron"
  ],
  "landingPage": "https://data.nist.gov/od/id/mds2-2496",
  "language": [
    "en"
  ],
  "license": "https://www.nist.gov/open/license",
  "modified": "2021-10-26 00:00:00",
  "programCode": [
    "006:045"
  ],
  "publisher": {
    "@type": "org:Organization",
    "name": "National Institute of Standards and Technology"
  },
  "theme": [
    "Neutron Research"
  ],
  "title": "Semi-Supervised-Learning-for-Diffraction"
}