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  <identifier identifierType="DOI">10.7910/DVN/B3HR8X</identifier>
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      <creatorName nameType="Personal">Butcher, Charles</creatorName>
      <givenName>Charles</givenName>
      <familyName>Butcher</familyName>
      <affiliation>Norwegian University of Science and Technology</affiliation>
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    <creator>
      <creatorName nameType="Personal">Goldsmith, Benjamin E.</creatorName>
      <givenName>Benjamin E.</givenName>
      <familyName>Goldsmith</familyName>
      <affiliation>Australian National University</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Nanlohy, Sascha</creatorName>
      <givenName>Sascha</givenName>
      <familyName>Nanlohy</familyName>
      <affiliation>University of Sydney</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Sowmya, Arcot</creatorName>
      <givenName>Arcot</givenName>
      <familyName>Sowmya</familyName>
      <affiliation>University of New South Wales</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Muchlinski, David</creatorName>
      <givenName>David</givenName>
      <familyName>Muchlinski</familyName>
      <affiliation>Georgia Institute of Technology</affiliation>
    </creator>
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  <titles>
    <title>Targeted Mass Killing (TMK) Dataset, Version 1.0</title>
  </titles>
  <publisher>Harvard Dataverse</publisher>
  <publicationYear>2024</publicationYear>
  <subjects>
    <subject>Social Sciences</subject>
    <subject>Genocide</subject>
    <subject>Politicide</subject>
    <subject>Atrocities</subject>
  </subjects>
  <contributors>
    <contributor contributorType="Producer">
      <contributorName nameType="Personal">Discovery Project “Advancing Genocide Forecasting: New Definition, Methods, and Forecasts” (DP160101122)</contributorName>
      <affiliation>Australian Research Council</affiliation>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Katz, Emily</contributorName>
      <givenName>Emily</givenName>
      <familyName>Katz</familyName>
      <affiliation>Harvard University</affiliation>
    </contributor>
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  <dates>
    <date dateType="Submitted">2024-06-24</date>
    <date dateType="Available">2024-08-01</date>
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    <relatedIdentifier relationType="IsSupplementTo" schemeURI="https://politicsir.cass.anu.edu.au" relatedIdentifierType="URL">/sites/default/files/docs/2020/6/TMK_Dataset_Paper_postprint.pdf</relatedIdentifier>
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  <version>1.0</version>
  <rightsList>
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    <rights rightsURI="http://creativecommons.org/publicdomain/zero/1.0" rightsIdentifier="CC0-1.0" rightsIdentifierScheme="SPDX" schemeURI="https://spdx.org/licenses/" xml:lang="en">Creative Commons CC0 1.0 Universal Public Domain Dedication.</rights>
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  <descriptions>
    <description descriptionType="Abstract">The Targeted Mass Killing (TMK) dataset is intended to contribute to the study and prevention of genocide, politicide, and similar atrocities. Version 1.0 (2019) provides data on 201 TMK episodes for the period 1946-2017 with annualised information on perpetrator intent, severity, targeted groups and a host of additional variables. It includes a pre-coded ordinal indicator of TMK that aggregates evidence of intent and severity into a 7-point scale and a new binary indicator of genocide and politicide that can serve as an alternative to existing measures. Users are able to construct their own indicators from the dataset, based on their research questions or preferred definitions.</description>
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