AndreaBozzo/ceres-open-data-index huggingface dataset:
National Incident-Based Reporting System, 2006: Extract Files

The National Incident-Based Reporting System (NIBRS) is a
part of the Uniform Crime Reporting Program (UCR), administered by the
Federal Bureau of Investigation (FBI). The extract files version of
NIBRS was created to simplify working with NIBRS data. Data management
issues with NIBRS are significant, especially when two or more segment
levels are being merged. These issues require skills separate from
data analysis. NIBRS data as formatted by the FBI are stored in a
single file. These data are organized by various segment levels
(record types). There are six main segment levels: administrative,
offense, property, victim, offender, and arrestee. Each segment level
has a different length and layout. There are other segment levels that
occur with less frequency than the six main levels. Significant
computing resources are necessary to work with the data in its
single-file format. In addition, the user must be sophisticated in
working with data in complex file types. For these reasons and the
desire to facilitate the use of NIBRS data, ICPSR created the extract
files. The data are not a representative sample of crime in the United
States.
Uniform Crime Reporting Program Data [United States]: Hate Crime Data, 2005 [Record-Type Files]

In response to a growing concern about hate crimes, the
United States Congress enacted the Hate Crime Statistics Act of
1990. The Act requires the attorney general to establish guidelines
and collect, as part of the Uniform Crime Reporting (UCR) Program,
data "about crimes that manifest evidence of prejudice based on race,
religion, sexual orientation, or ethnicity, including where
appropriate the crimes of murder and non-negligent manslaughter,
forcible rape, aggravated assault, simple assault, intimidation,
arson, and destruction, damage or vandalism of property." Hate crime
data collection was required by the Act to begin in calendar year 1990
and to continue for four successive years. In September 1994, the
Violent Crime Control and Law Enforcement Act amended the Hate Crime
Statistics Act to add disabilities, both physical and mental, as
factors that could be considered a basis for hate crimes. Although the
Act originally mandated data collection for five years, the Church
Arson Prevention Act of 1996 amended the collection duration "for each
calendar year," making hate crime statistics a permanent addition to
the UCR program. As with the other UCR data, law enforcement agencies
contribute reports either directly or through their state reporting
programs. Information contained in the data includes number of victims
and offenders involved in each hate crime incident, type of victims,
bias motivation, offense type, and location type.
Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, Summarized Yearly, 1999

These data provide information on the number of arrests
reported to the Federal Bureau of Investigation's Uniform Crime
Reporting (UCR) Program each year by police agencies in the United
States. These arrest reports provide data on 43 offenses including
violent crime, drug use, gambling, and larceny. The data received by
ICPSR were structured as a hierarchical file containing, per reporting
police agency: an agency header record, and 1 to 43 detail offense
records containing the counts of arrests by age, sex, and race for a
particular offense. ICPSR restructured the original data to logical
record length format with the agency header record variables copied
onto the detail records. Consequently, each record contains arrest
counts for a particular agency-offense.
Uniform Crime Reporting Program Data [United States]:  Police Employee (LEOKA) Data, 2001   

Since 1930, the Federal Bureau of Investigation has
 compiled the Uniform Crime Reports (UCR) to serve as a periodic
 nationwide assessment of reported crimes not available elsewhere in
 the criminal justice system. Each year, this information is reported
 in four types of files: (1) Offenses Known and Clearances by Arrest,
 (2) Property Stolen and Recovered, (3) Supplementary Homicide Reports
 (SHR), and (4) Police Employee (LEOKA) Data. The Police Employee
 (LEOKA) Data provide information about law enforcement officers killed
 or assaulted (hence the acronym, LEOKA) in the line of duty. The
 variables created from the LEOKA forms provide in-depth information on
 the circumstances surrounding killings or assaults, including type of
 call answered, type of weapon used, and type of patrol the officers
were on.
Uniform Crime Reporting Program Data: Arson, United States, 2001  

Since 1930, the Federal Bureau of Investigation has
 compiled the Uniform Crime Reports (UCR) to serve as periodic
 nationwide assessments of reported crimes not available elsewhere in
 the criminal justice system. Seven main classifications of crime were
 chosen to gauge fluctuations in the overall volume and rate of
 crime. These seven classifications that eventually became known as the
 Crime Index included the violent crimes of murder and nonnegligent
 manslaughter, forcible rape, robbery, and aggravated assault, and the
 property crimes of burglary, larceny-theft, and motor vehicle
 theft. By congressional mandate, arson was added as the eighth Index
 offense in 1979. Arson is defined as any willful or malicious burning
 or attempt to burn, with or without intent to defraud, a dwelling
 house, public building, motor vehicle or aircraft, personal property
 of another, etc. The arson data files include monthly data on the
 number of arson offenses reported and the number of offenses cleared
 by arrest or other means. The counts include all reports of arson
 received from victims, officers who discovered infractions, or other
sources.
Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, Summarized Yearly, 2001

These data provide information on the number of arrests
reported to the Federal Bureau of Investigation's Uniform Crime
Reporting (UCR) Program each year by police agencies in the United
States. These arrest reports provide data on 43 offenses including
violent crime, drug use, gambling, and larceny. The data received by
ICPSR were structured as a hierarchical file containing, per reporting
police agency: an agency header record, and 1 to 43 detail offense
records containing the counts of arrests by age, sex, and race for a
particular offense. ICPSR restructured the original data to logical
record length format with the agency header record variables copied
onto the detail records. Consequently, each record contains arrest
counts for a particular agency-offense.
Uniform Crime Reporting Program Data [United States]:  Offenses Known and Clearances by Arrest, 2001  

Since 1930, the Federal Bureau of Investigation has
compiled the Uniform Crime Reports (UCR) to serve as periodic
nationwide assessments of reported crimes not available elsewhere in
the criminal justice system. Law enforcement agencies contribute
reports either directly or through their state reporting
programs. Each year, summary data are reported in four types of files:
(1) Offenses Known and Clearances by Arrest, (2) Property Stolen and
Recovered, (3) Supplementary Homicide Reports (SHR), and (4) Police
Employee (LEOKA) Data. The Offenses Known and Clearances by Arrest
data files include monthly data on the number of Crime Index offenses
reported and the number of offenses cleared by arrest or other
means. The counts include all reports of Index Crimes (excluding
arson) received from victims, officers who discovered infractions, or
other sources.
Federal Justice Statistics Program: Suspects in Federal Criminal Matters, 2011

The data contain records of suspects in federal criminal matters received by United States attorneys or filed before the United States magistrates during fiscal year 2011. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Table 1.1. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
Federal Justice Statistics Program: Offenders Released From Prison, 2002

The data contain records of sentenced offenders released from the custody of the Bureau of Prisons (BOP) during fiscal year 2002. The data include commitments of United States District Court, violators of conditions of release (e.g., parole, probation, or supervised release violators), offenders convicted in other courts (e.g., military or District of Columbia courts), and persons admitted to prison as material witnesses or for purposes of treatment, examination, or transfer to another authority. Records of offenders who exit federal prison temporarily, such as for transit to another location, to serve a weekend sentence, or for health care, are not included in the exiting cohort. These data include variables that describe the offender, such as age, race, citizenship, as well as variables that describe the sentences and expected prison terms. The data file contains original variables from the Bureau of Prisons' SENTRY database, as well as "SAF" variables that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 7.9-7.16. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, Summarized Yearly, 1998

These data provide information on the number of arrests
reported to the Federal Bureau of Investigation's Uniform Crime
Reporting (UCR) Program each year by police agencies in the United
States. These arrest reports provide data on 43 offenses including
violent crime, drug use, gambling, and larceny. The data received by
ICPSR were structured as a hierarchical file containing, per reporting
police agency: an agency header record, and 1 to 43 detail offense
records containing the counts of arrests by age, sex, and race for a
particular offense. ICPSR restructured the original data to logical
record length format with the agency header record variables copied
onto the detail records. Consequently, each record contains arrest
counts for a particular agency-offense.
Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, Summarized Yearly, 1997

These data provide information on the number of arrests
reported to the Federal Bureau of Investigation's Uniform Crime
Reporting (UCR) Program each year by police agencies in the United
States. These arrest reports provide data on 43 offenses including
violent crime, drug use, gambling, and larceny. The data received by
ICPSR were structured as a hierarchical file containing, per reporting
police agency: an agency header record, and 1 to 43 detail offense
records containing the counts of arrests by age, sex, and race for a
particular offense. ICPSR restructured the original data to logical
record length format with the agency header record variables copied
onto the detail records. Consequently, each record contains arrest
counts for a particular agency-offense.
Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, Summarized Yearly, 1995

These data provide information on the number of arrests
reported to the Federal Bureau of Investigation's Uniform Crime
Reporting (UCR) Program each year by police agencies in the United
States. These arrest reports provide data on 43 offenses including
violent crime, drug use, gambling, and larceny. The data received by
ICPSR were structured as a hierarchical file containing, per reporting
police agency: an agency header record, and 1 to 43 detail offense
records containing the counts of arrests by age, sex, and race for a
particular offense. ICPSR restructured the original data to logical
record length format with the agency header record variables copied
onto the detail records. Consequently, each record contains arrest
counts for a particular agency-offense.
Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, Summarized Yearly, 1994

These data provide information on the number of arrests
reported to the Federal Bureau of Investigation's Uniform Crime
Reporting (UCR) Program each year by police agencies in the United
States. These arrest reports provide data on 43 offenses including
violent crime, drug use, gambling, and larceny. The data received by
ICPSR were structured as a hierarchical file containing, per reporting
police agency: an agency header record, and 1 to 43 detail offense
records containing the counts of arrests by age, sex, and race for a
particular offense. ICPSR restructured the original data to logical
record length format with the agency header record variables copied
onto the detail records. Consequently, each record contains arrest
counts for a particular agency-offense.
Criminal Victimization of District of Columbia Residents and Capitol Hill Employees, 1982-1983

This data collection contains information about the
 victimization of District of Columbia residents. The primary objective
 was to measure the extent of crime in the District of Columbia and the
 impact of crime on the quality of life in the District. Researchers
 also studied the degree to which congressional employees working in
 the Capitol Hill area were subject to victimization and the extent to
 which fear of crime affected their productivity. However, to protect
 the confidentiality of the respondents, the data on Capitol Hill
 employees are not present in these files. The Capitol Hill employees
 data are archived at the Research Triangle Institute and, as of
 December 1984, a public-use data file did not exist. The three data
 files archived at the ICPSR contain information about District of
 Columbia residents only. The first data file includes person-level
 data including residential mobility, crime prevention measures, and
 sociodemographic characteristics such as race, age, income, and
 location and duration of current residence. Each record in Part 2, In
 Scope Crimes File, represents a reported criminal victimization. The
 third data file, Out of Scope File, contains data on crimes that were
 either outside the analysis time period of May 1, 1982, to April 30,
1983, or not crimes of interest for this study.
Prosecutor's Management Information System (PROMIS), St. Louis, 1979

The Prosecutor's Management Information System (PROMIS) is
 a computer-based information system for public prosecution agencies.
 PROMIS was initially developed with funds from the United States Law
 Enforcement Assistance Administration (LEAA) to cope with problems of
 a large, urban prosecution agency where mass production operations had
 superceded the traditional practice of a single attorney preparing and
 prosecuting a given case from inception to final disposition. The
 combination of massive volumes of cases and assembly-line
 fragmentation of responsibility and control had created a situation in
 which one case was indistinguishable from another and the effects of
 problems at various stages in the assembly line on ultimate case
 disposition went undetected and uncorrected. One unique feature of
 PROMIS that addresses these problems is the automated evaluation of
 cases.  Through the application of a uniform set of criteria, PROMIS
 assigns two numerical ratings to each case: one signifying the gravity
 of the crimes through the measurement of the amount of harm done to
 society, and the other signifying the gravity of the prior record of
 the accused. These ratings make it possible to select the more
 important cases for intensive, pre-trial preparation and to assure
 even-handed treatment of cases with similar degrees of gravity. A
 complementary feature of PROMIS is the automation of reasons for
 decisions made or actions taken along the assembly line. Reasons for
 dismissing cases prior to trial on their merits can be related to
 earlier cycles of postponement for various reasons and the reasoning
 behind intake and screening decisions. The PROMIS data include
 information about the defendant, case characteristics and processes,
 charge, sentencing and continuance processes, and the witness/victims
 involved in the case. PROMIS was first used in 1971 in the United
 States Attorney's Office for the District of Columbia. To enhance the
 ability to transfer the concepts and software to other communities,
 LEAA awarded a grant to the Institute for Law and Social Research
 (INSLAW) in Washington, DC. The St. Louis PROMIS data collection is a
product of this grant.
Prosecutor's Management and Information System (PROMIS), New Orleans, 1979

The Prosecutor's Management and Information System (PROMIS)
 is a computer-based management information system for public
 prosecution agencies. PROMIS was initially developed with funds from
 the United States Law Enforcement Assistance Administration (LEAA) to
 cope with the problems of a large, urban prosecution agency where mass
 production operations had superseded the traditional practice of a
 single attorney preparing and prosecuting a given case from inception
 to final disposition. The combination of massive volumes of cases and
 the assembly-line fragmentation of responsibility and control had
 created a situation in which one case was indistinguishable from
 another and the effects of problems at various stages in the assembly
 line on ultimate case disposition went undetected and uncorrected. One
 unique feature of PROMIS that addresses these problems is the
 automated evaluation of cases. Through the application of a uniform
 set of criteria, PROMIS assigns two numerical ratings to each case:
 one signifying the gravity of the crime through a measurement of the
 amount of harm done to society, and the other signifying the gravity
 of the prior criminal record of the accused. These ratings make it
 possible to select the more important cases for intensive, pre-trial
 preparation and to assure even-handed treatment of cases of like
 gravity. A complementary feature of PROMIS is the automation of
 reasons for decisions made or actions taken along the assembly
 line. Reasons for dismissing cases prior to trial on their merits can
 be related to earlier cycles of postponements for various reasons and
 to the reasoning behind intake and screening decisions. The PROMIS
 data include information about the defendant, case characteristics and
 processes, charge, sentencing and continuance processes, and the
 witnesses/victims involved with a case. PROMIS was first used in 1971
 in the United States Attorney's Office for the District of
 Columbia. To enhance the ability to transfer the PROMIS concepts and
 software to other communities, LEAA awarded a grant to the Institute
 for Law and Social Research (INSLAW) in Washington, DC. The New
Orleans PROMIS data collection is a product of this grant.
Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, Summarized Yearly, 1996

These data provide information on the number of arrests
reported to the Federal Bureau of Investigation's Uniform Crime
Reporting (UCR) Program each year by police agencies in the United
States. These arrest reports provide data on 43 offenses including
violent crime, drug use, gambling, and larceny. The data received by
ICPSR were structured as a hierarchical file containing, per reporting
police agency: an agency header record, and 1 to 43 detail offense
records containing the counts of arrests by age, sex, and race for a
particular offense. ICPSR restructured the original data to logical
record length format with the agency header record variables copied
onto the detail records. Consequently, each record contains arrest
counts for a particular agency-offense.
Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, Summarized Yearly, 1993

These data provide information on the number of arrests
reported to the Federal Bureau of Investigation's Uniform Crime
Reporting (UCR) Program each year by police agencies in the United
States. These arrest reports provide data on 43 offenses including
violent crime, drug use, gambling, and larceny. The data received by
ICPSR were structured as a hierarchical file containing, per reporting
police agency: an agency header record, and 1 to 43 detail offense
records containing the counts of arrests by age, sex, and race for a
particular offense. ICPSR restructured the original data to logical
record length format with the agency header record variables copied
onto the detail records. Consequently, each record contains arrest
counts for a particular agency-offense.
Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, 1993

These data provide information on the number of arrests
reported to the Federal Bureau of Investigation's Uniform Crime
Reporting (UCR) Program each year by police agencies in the United
States. These arrest reports provide data on 43 offenses including
violent crime, drug use, gambling, and larceny. The data received by
ICPSR were structured as a hierarchical file containing (per reporting
police agency) an agency header record, 1 to 12 monthly header
records, and 1 to 43 detail offense records containing the counts of
arrests by age, sex, and race for a particular offense. ICPSR
restructured the original data to a rectangular format.
Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, Summarized Yearly, 1992

These data provide information on the number of arrests
reported to the Federal Bureau of Investigation's Uniform Crime
Reporting (UCR) Program each year by police agencies in the United
States. These arrest reports provide data on 43 offenses including
violent crime, drug use, gambling, and larceny. The data received by
ICPSR were structured as a hierarchical file containing, per reporting
police agency: an agency header record, and 1 to 43 detail offense
records containing the counts of arrests by age, sex, and race for a
particular offense. ICPSR restructured the original data to logical
record length format with the agency header record variables copied
onto the detail records. Consequently, each record contains arrest
counts for a particular agency-offense.