Simulated Combat Reports Dataset

Citation Author(s):
Harry
Tunnell
Indiana University (IUPUI)
Submitted by:
Harry Tunnell
Last updated:
Tue, 08/18/2020 - 21:44
DOI:
10.21227/0j9d-6h49
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Abstract 

This simulated combat reports dataset combines fictional headings, reporting units, and attack times with real data from 551 records of terrorist attacks in Afghanistan (2009–2010) [1]. The dataset combines selected attributes from the DA Form 1594 [2] and U.S. Army Spot Report [3]. The dataset also includes additional attributes for tactical context.

A common use for the DA Form 1594 is for personnel in U.S. Army small unit command posts to record reports of combat action. This dataset was used in a prototype of a modified and modernized DA Form 1594 created as a Relational Database Management System (RDBMS). The prototype was designed to demonstrate how to use data science techniques to analyze tactical data captured in small unit command posts. The RDBMS was created using Microsoft Access. The .xlsx dataset was exported from the final version of the prototype.

References

[1] National Consortium for the Study of Terrorism and Responses to Terrorism, "Global Terrorism Database," University of Maryland, 2019. [Online]. Available: https://www.start.umd.edu/gtd/. [Accessed 23 November 2019].

[2] Department of the Army, "Appendix E: Daily Staff Journal or Duty Officer's Log," in TC 3-22.6: Guard Duty, Washington, DC: Department of the Army, 2017 (w/Change 1, 2019), pp. E-1 - E-3.

[3] Department of the Army, "U.S. Army Spot Report," in FM 6-99.2: U.S. Army Report and Message Formats, Washington, DC: Department of the Army, 2007, pp. 219 - 219.1.

 

 

Instructions: 

The dataset reflects fictional military operations. Even though real Taliban attack data is included in the dataset and the fictional reporting unit designations are based upon real U.S. Army units, the dataset is not a real record of U.S. Army operations in Afghanistan. Dataset published with permission of National Consortium for the Study of Terrorism and Responses to Terrorism.

The dataset author's Military Review article "Tactical Data Science" reports on this dataset.