{
    "identifier": "ark:\/88434\/mds2-4153",
    "accessLevel": "public",
    "contactPoint": {
        "hasEmail": "mailto:[email protected]",
        "fn": "Nathan Lima"
    },
    "programCode": [
        "006:045"
    ],
    "landingPage": "https:\/\/data.nist.gov\/od\/id\/mds2-4153",
    "title": "Repository for NIST-EPA Legionella study Python tools.",
    "description": "Repository for NIST-EPA Legionella study Python tools. Includes scripts for aerosol particle size distribution analysis, emission-rate calculations, data cleaning, visualization, and statistical modeling of shower-generated aerosols under varying temperature, humidity, and exhaust-fan conditions.",
    "language": [
        "en"
    ],
    "distribution": [
        {
            "accessURL": "https:\/\/github.com\/usnistgov\/EPA_Legionella",
            "description": "Repository for NIST-EPA Legionella study Python tools. Includes scripts for aerosol particle size distribution analysis, emission-rate calculations, data validation, visualization, and statistical modeling of shower-generated aerosols under varying temperature, humidity, and exhaust-fan conditions.",
            "title": "NIST-EPA Legionella Study GitHub Repository"
        },
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-4153\/README.md",
            "format": "Markdown",
            "description": "This README file provides comprehensive documentation for the NIST-EPA Legionella study analysis tools, including project overview, installation instructions, usage guidelines for analysis scripts, repository structure details, and explanations of the CO\u2082 decay, particle decay, and environmental analysis workflows.",
            "mediaType": "text\/markdown",
            "title": "GitHub repo README file"
        }
    ],
    "bureauCode": [
        "006:55"
    ],
    "modified": "2026-03-20 00:00:00",
    "publisher": {
        "@type": "org:Organization",
        "name": "National Institute of Standards and Technology"
    },
    "theme": [
        "Buildings and Construction:Indoor air quality"
    ],
    "keyword": [
        "Bioaerosols",
        "Indoor Air Quality",
        "Premise Plumbing",
        "Multi-sensor Data Fusion",
        "Environmental Characterization",
        "Aerosol Emission Rates",
        "Time-series Analysis",
        "Measurement Science"
    ]
}