{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["006:55"], "contactPoint": {"fn": "David Sheen", "hasEmail": "mailto:david.sheen@nist.gov"}, "description": "A python module for consensus analysis in interlaboratory studies", "distribution": [{"accessURL": "https://pages.nist.gov/interlab_py/", "description": "A python module for consensus analysis in interlaboratory studies", "format": "Python module", "title": "Interlab"}, {"accessURL": "https://doi.org/10.18434/T4/1503310", "description": "DOI Access to Interlab: A python module for consensus analysis in interlaboratory studies", "format": "text/html", "title": "DOI Access to Interlab: A python module for consensus analysis in interlaboratory studies"}], "identifier": "75C6467F8B205670E05324570681995A1967", "keyword": ["interlaboratory study", "uncertainty analysis", "outlier detection"], "landingPage": "https://data.nist.gov/od/id/75C6467F8B205670E05324570681995A1967", "language": ["en"], "license": "https://www.nist.gov/open/license", "modified": "2018-09-13 00:00:00", "programCode": ["006:045"], "publisher": {"@type": "org:Organization", "name": "National Institute of Standards and Technology"}, "references": ["https://doi.org/10.1016/j.chemolab.2016.12.010", "https://doi.org/10.1007/s00216-018-1240-2"], "theme": ["Information Technology:Software research", "Mathematics and Statistics"], "title": "Interlab: A python module for consensus analysis in interlaboratory studies"}