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These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

The study aimed to develop and empirically test a dynamic risk assessment model of radicalization process characteristics of homegrown terrorists inspired by Al Qaeda's ideology. The New York Police Department (NYPD) model developed by Mitchell D. Silber and Arvin Bhatt was chosen as the basis for creating a typology of overt and detectable indicators of individual behaviors widely thought to be associated with extremism. Specific behavioral cues associated with each stage of radicalization were coded and used to estimate the sequencing of behaviors and the duration of the average radicalization trajectory. Out of 331 homegrown American Jihadists (Group A), 135 were selected for further examination of their radicalization (Group B). Data were collected from public records ranging from social media postings by the offenders themselves to evidence introduced in the adjudication of the offenses for which the offenders were incarcerated. Life histories were compiled for Group B, whose detailed biographies were used to chart the timelines of their radicalization trajectories.

The collection includes an Excel file which contains one data table for Group A (10 variables, n=331) and two data tables for Group B (32 variables, n=135 and 5 variables, n=135, respectively). An accompanying codebook file details the variables in these tables. There is also a document with approximately 1 page narratives for each of the 135 individuals in Group B. A file containing a key indicating the names of the subjects is not available with this collection.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

This study attempted to be the first of its kind to evaluate a U.S. community-based Countering Violent Extremism (CVE) Program. Conducted in Montgomery County, Maryland, the evaluation judged the relative effectiveness of various community programs on CVE-relevant outcomes. The collection contains 2 SPSS data files, Archive-ready, survey 1st phase.sav (n=67; 292 variables) and Archive-ready, survey final phase.sav (n=421; 232 variables). The qualitative data are not available as part of this data collection at this time.

This project examined the multidimensional pathways that led to extremism and extremist behaviors. The focus of the research was to examine risk and protective factors that either directly, or in combination, interact to increase or mitigate the risk of radicalization and terrorism.

This project comparatively examined the presence/absence of risk and protective factors across three groups:

1. extremist individuals who committed ideologically motivated violent (fatal and non-fatal violent attacks) and nonviolent (financial) crimes
2. extremists who did not break the law and only engaged in legal extremist activities
3. persons who committed non-ideological motivated homicides and other violent attacks

Thus, researchers accomplished four major goals/objectives in this project. First, although there has been a good amount of radicalization and risk assessment-related research on risk and protective factors, researchers expanded this work with comparative analyses that have not been previously explored. Second, few studies compared violent or nonviolent criminal extremists to nonoffending extremists or other types of violent offenders. Third, researchers used a case-control approach to provide an empirically robust understanding of categorical differences across groups that have not yet been achieved. Fourth, researchers examined differences in participation of warning behaviors across the groups studied.

The data file includes 971 cases.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

Typically, NACJD's Fast Track Release requires all direct identifiers to be removed or masked. As the sources of information for this collection are publicly available, direct identifiers were left within the collection.

This study created the largest and most comprehensive database ever created to date on lone wolf terrorism. It includes 1 Excel data file (LONEWOLF_NIJ_HAMM_SPAAIJ_2014_unlocked.xlsx; n=98, 23 variables). The information was gathered from an extensive review of previous research, biographies and memoirs, journalistic sources, government reports, court documents, encyclopedias and documentary films.

Qualitative interviews were conducted as part of this research, but these interviews were not made available for archiving.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator if further information is needed.

This study examined the longevity of individual terrorists using data from the American Terrorism Study (ATS).

Using these data, researchers examined the longevity of individual terrorists in relationship to five major factors: 1) the possible effects of changes in the Attorney General's Guidelines for terrorism investigations; 2) the impact of ideology, which may indirectly affect longevity through perpetrator and incident characteristics; 3) lone actors versus group participation; 4) the extent of participation in preparatory activity; and 5) the sophistication of the incidents in which the person participated.

Previous ATS research funded through National Institute of Justice (NIJ) by focusing on individual terrorists, instead of terrorist groups.

The collection includes 1 SPSS data file: ICPSR_Data_File_Edit.sav (n=346; 15 variables).

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

The Empirical Assessment of Domestic Radicalization (EADR) project seeks to provide practitioners, researchers, and the public with an empirical foundation for understanding the radicalization processes of United States-based extremists. Project researchers utilized a mixed-method, nested approach to explore a number of key research questions related to radicalization, including:

• what are the demographic, background, and radicalization differences between and within the different ideological milieus?
• are there important contextual, personal, ideological, or experiential differences between radicals who commit violent acts and those who do not?
• is it possible to identify sufficient pathways to violent extremism?
• are the causal mechanisms highlighted by extant theories of radicalization supported by empirical evidence?

The collection includes 5 SPSS datasets and 2 SPSS syntax files:

• PIRUS_full_dataset_ICPSR_archive.sav (n=1,473; 113 variables)
• PIRUS_expected_maximization_version.sav (n=16,203; 27 variables)
• PIRUS_fixed_value_imputation_version.sav (n=1,473; 27 variables)
• PIRUS_regression_based_imputation_version.sav (n=16,203; 28 variables)
• PIRUS_subgroup_mean_substitution_version.sav (n=1,473; 27 variables)
• quantitative_analysis_syntax.sps
• variable_prep_syntax.sps

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

This study identified the temporal dimensions of terrorists' precursor conduct to determine if these behaviors occurred in a logically sequenced pattern, with a particular focus on the identification of sequenced patterns that varied by group type, group size, and incident type. The study specifically focused on how these pre-incident activities were associated with the successful completion or prevention of terrorist incidents and how they differed between categories of terrorism. Data utilized for this study came from the American Terrorism Study (ATS), a database that includes "officially designated" federal terrorism cases from 1980-October 1, 2016, collected for the National Institute of Justice.

The project focused on three major issues related to terrorists' precursor behaviors:

• A subgroup analysis of temporal, crime-specific patterns by group type,
• The nature of the planning process, and
• Factors associated with the outcomes of terrorist incidents (success or failure).

The collection contains 2 SPSS data files, Final_Hypothesis_Data_Set.sav (n=550; 16 variables) and Final_Sequencing_Antecedent_Temporal.sav (n=2354; 16 variables), and 1 plain text file, Recode_Syntax.txt.