4 datasets found
  1. Female Active Duty Military Personnel, Officers and Enlisted, 1945-2015

    • catalog.data.gov
    • data.va.gov
    • +2more
    Updated Aug 2, 2025
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    Department of Veteran Affairs (2025). Female Active Duty Military Personnel, Officers and Enlisted, 1945-2015 [Dataset]. https://catalog.data.gov/dataset/female-active-duty-military-personnel-officers-and-enlisted-1945-2015
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    Dataset updated
    Aug 2, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    NOTE: 2001-2013 enlisted totals include "cadets-midshipmen" so officer+enlisted=total. This may not be the correct assumption, but the historical tables only have "officer" and "enlisted" totals.

  2. d

    Military Recruits by 3 Digit ZIP

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Christensen, Garret (2023). Military Recruits by 3 Digit ZIP [Dataset]. http://doi.org/10.7910/DVN/27764
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Christensen, Garret
    Time period covered
    Jan 1, 2001 - Jan 1, 2010
    Description

    This data consists of three files:lists of all enlisted applicants, contracts, and accessions to the US military from October 2000 to September 2010, as well as a small Excel file that serves as a data dictionary. Individuals are identified only by 3 digit ZIP codes, and do not contain an individual identifier so they cannot be reliably tracked across stages of enlistment. The data was obtained through Freedom of Information Act request 11-F-0024, filed by Garret Christensen in 2010. The only documentation provided with the request is included here, in the Excel file.

  3. H

    Black Civil War Veterans and the Records of Incarceration: Slavery, Race,...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Apr 3, 2024
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    Chuck Sherrill; Jim Schindling; Jessica Sutton; Jessica Fletcher (2024). Black Civil War Veterans and the Records of Incarceration: Slavery, Race, and the Tennessee State Penitentiary, 1850-1870 [Dataset]. http://doi.org/10.7910/DVN/FE4RLC
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 3, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Chuck Sherrill; Jim Schindling; Jessica Sutton; Jessica Fletcher
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/FE4RLChttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/FE4RLC

    Time period covered
    1850 - 1870
    Area covered
    Tennessee
    Description

    This dataset documents the records of mainly Black people incarcerated in the Tennessee State Penitentiary in the period directly before, during, and after the Civil War, from 1850-1870. It includes a staggering amount of formerly enslaved Civil War soldiers and veterans who had enlisted in the segregated regiments of the United States Military, the U.S.C.T. This demographic information of over 1,400 inmates incarcerated in an occupied border state allows us to examine trends, patterns, and relationships that speak to the historic ties between the US military and the TN State Penitentiary, and more broadly, the role of enslavement’s legacies in the development of punitive federal systems. Further analysis of this dataset reveals the genesis of many modern trends in incarceration and law. The dataset of this article and its historiographical implications will be of interest to scholars who study the regional dynamics of antebellum and post-Civil War prison systems, convict leasing and the development of the modern carceral state, Black resistance in the forms of fugitivity and participation in the Civil War, and pre-war era incarceration of free Black men and women and non-Black people convicted of crimes related to enslavement.

  4. H

    Replication Data for: Military Attitudes on the Chemical Weapons Taboo:...

    • datasetcatalog.nlm.nih.gov
    Updated May 31, 2023
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    Blair, Christopher; Horowitz, Michael (2023). Replication Data for: Military Attitudes on the Chemical Weapons Taboo: Evidence from the Pacific Theater [Dataset]. http://doi.org/10.7910/DVN/AIDUDC
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    Dataset updated
    May 31, 2023
    Authors
    Blair, Christopher; Horowitz, Michael
    Description

    Little is known about military attitudes toward weapons taboos, or the durability of non-use norms in wartime. Chemical weapons are a key case given public revulsion and clear international prohibitions. We explore soldiers’ attitudes in a salient setting: the Pacific theater of World War II. We draw on a declassified survey covering a representative sample of enlisted US soldiers in Hawai‘i in 1944. This unique context, during a total war against an adversary that had employed chemical weapons, represents a hard test for the chemical weapons taboo. Up to 91% of soldiers supported using chemical weapons against Japan, including 24% who favored initiation and 67% who favored retaliatory use. To understand the influence of military instruction, we exploit a novel regimen still used in basic training, which saw some troops exposed to lachrymatory gas. We find exposure to chemical weapons in training reduced support for use. Visceral experiences can mobilize support for weapons taboos in otherwise permissive environments.

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Department of Veteran Affairs (2025). Female Active Duty Military Personnel, Officers and Enlisted, 1945-2015 [Dataset]. https://catalog.data.gov/dataset/female-active-duty-military-personnel-officers-and-enlisted-1945-2015
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Female Active Duty Military Personnel, Officers and Enlisted, 1945-2015

Explore at:
Dataset updated
Aug 2, 2025
Dataset provided by
United States Department of Veterans Affairshttp://va.gov/
Description

NOTE: 2001-2013 enlisted totals include "cadets-midshipmen" so officer+enlisted=total. This may not be the correct assumption, but the historical tables only have "officer" and "enlisted" totals.

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