{"@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"}