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A Collection of Dwellings to Represent the U.S. Housing Stock (2024 Update) Associated Python Scripts

This is a compilation of Python scripts used when developing the Collection of Dwellings to Represent the U.S. Housing Stock (2024 Update) NIST TN.

About this Dataset

Updated: 2026-09-19
Metadata Last Updated: 2024-06-03 00:00:00
Date Created: N/A
Data Provided by:
Dataset Owner: N/A

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Title A Collection of Dwellings to Represent the U.S. Housing Stock (2024 Update) Associated Python Scripts
Description This is a compilation of Python scripts used when developing the Collection of Dwellings to Represent the U.S. Housing Stock (2024 Update) NIST TN.
Modified 2024-06-03 00:00:00
Publisher Name National Institute of Standards and Technology
Contact mailto:[email protected]
Keywords Database; dwelling; indoor air quality; modeling; residential buildings; ventilation; Python; CONATM
{
    "identifier": "ark:\/88434\/mds2-3488",
    "accessLevel": "public",
    "contactPoint": {
        "hasEmail": "mailto:[email protected]",
        "fn": "Nathan Lima"
    },
    "programCode": [
        "006:045"
    ],
    "landingPage": "https:\/\/data.nist.gov\/od\/id\/mds2-3488",
    "title": "A Collection of Dwellings to Represent the U.S. Housing Stock (2024 Update) Associated Python Scripts",
    "description": "This is a compilation of Python scripts used when developing the Collection of Dwellings to Represent the U.S. Housing Stock (2024 Update) NIST TN.",
    "language": [
        "en"
    ],
    "distribution": [
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-3488\/characteristic_distribution.py",
            "format": "Python script",
            "description": "This script handles most of the data wrangling of the AHS and RECS dataset and produces simplified CSV files",
            "mediaType": "text\/x-python",
            "title": "dwelling characteristic distribution"
        },
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-3488\/recs20_sqft_weighted_average.py",
            "format": "Python script",
            "description": "Python script to calculate the recs20 sq. ft. weighted averages",
            "mediaType": "text\/x-python",
            "title": "recs20_sqft_weighted_average"
        },
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-3488\/update_values_recs97.py",
            "format": "Python Script",
            "description": "This script updated the current RECS and AHS dwelling data for comparison to the RECS97 data.",
            "mediaType": "text\/x-python",
            "title": "Update current RECS and AHS dwelling representation to the RECS97"
        },
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-3488\/wap_calc.py",
            "format": "Python Script",
            "description": "This python script was used to analyzed the RECS and AHS database for Weatherization Assistance Program (WAP) household eligibility.",
            "mediaType": "text\/x-python",
            "title": "Weatherization Assistance Program (WAP) calculations"
        },
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-3488\/ahs21_weighted_average.py",
            "format": "Python Script",
            "description": "This script performed ahs21 weighted average calculations",
            "mediaType": "text\/x-python",
            "title": "ahs21 weighted average calculations"
        },
        {
            "downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-3488\/ahs_recs_data_comparison.py",
            "format": "Python Script",
            "description": "This script performed the initial AHS and RECS data comparisons.",
            "mediaType": "text\/x-python",
            "title": "ahs recs data comparison"
        }
    ],
    "bureauCode": [
        "006:55"
    ],
    "modified": "2024-06-03 00:00:00",
    "publisher": {
        "@type": "org:Organization",
        "name": "National Institute of Standards and Technology"
    },
    "theme": [
        "Environment:Environmental health",
        "Mathematics and Statistics:Modeling and simulation research",
        "Buildings and Construction:Air conditioning and heating equipment",
        "Buildings and Construction:Indoor air quality"
    ],
    "keyword": [
        "Database; dwelling; indoor air quality; modeling; residential buildings; ventilation; Python; CONATM"
    ]
}