AndreaBozzo/ceres-open-data-index huggingface dataset:
National Judicial Reporting Program, 2006

This data collection provides detailed information on the
sentences and characteristics of convicted felons based on data
collected from state courts. The 2006 survey was based on a sample of
300 counties selected to be nationally representative. The collection
contains sociodemographic information such as age, race, and sex of
the felon. Types of offenses committed include murder, rape, and
robbery. Data can be analyzed at the national level or by individual
counties.
National Judicial Reporting Program, 2004

This data collection provides detailed information on the
sentences and characteristics of convicted felons based on data
collected from state courts. The 2004 survey was based on a sample of
300 counties selected to be nationally representative. The collection
contains sociodemographic information such as age, race, and sex of
the felon. Types of offenses committed include homicide, rape, and
robbery. Data can be analyzed at the national level or by individual
counties.
National Judicial Reporting Program, 2002: [United States]

This data collection provides detailed information on the
sentences and characteristics of convicted felons based on data
collected from state courts. The 2002 survey was based on a sample of
300 counties selected to be nationally representative. The collection
contains sociodemographic information such as age, race, and sex of
the felon. Types of offenses committed include homicide, rape, and
robbery. Data can be analyzed at the national level or by individual
counties.
National Judicial Reporting Program, 2000

This data collection provides detailed information on the
sentences and characteristics of convicted felons based on data
collected from state courts. The 2000 survey was based on a sample of
344 counties selected to be nationally representative. The collection
contains sociodemographic information such as age, race, and sex of
the felon. Types of offenses committed include homicide, rape, and
robbery. Adjudication variables referring to the process between
arrest and sentencing are also a part of this dataset. Data can be
analyzed at the national level or by individual counties.
National Judicial Reporting Program, 1998

This data collection tabulates the number of persons
convicted of felonies in state courts and describes their sentences.
Data were collected from state courts and state prosecutors in 344
counties of the United States. The collection contains
sociodemographic information such as age, race, and sex of the felon.
Types of offenses committed include homicide, rape, and robbery.
Adjudication variables referring to the process between arrest and
sentencing are also a part of this dataset. Data can be analyzed at
the national level or by individual counties.
National Judicial Reporting Program, 1996

This data collection tabulates the number of persons
convicted of felonies in state courts and describes their
sentences. Data were collected from state courts and state prosecutors
in 344 counties of the United States. The collection contains
sociodemographic information such as age, race, and sex of the
felon. Types of offenses committed include homicide, rape, and
robbery. Adjudication variables referring to the process between
arrest and sentencing are also a part of this dataset. Data can be
analyzed at the national level or by individual counties.
National Corrections Reporting Program, 2000:  [United States]

The purpose of this study was to gather data on prisoners
entering and leaving the custody or supervision of state and federal
authorities. Data refer to prisoners who were admitted to prison (Part
1), released from prison (Part 2), or released from parole (Part 3) in
2000. Variables include incarceration history, current offenses, and
total time served. Background information on individuals includes year
of birth, sex, age, race, Hispanic origin, and educational
attainment.
National Corrections Reporting Program, 1999: [United States]

The purpose of this study was to gather data on prisoners
entering and leaving the custody or supervision of state and federal
authorities. Data refer to prisoners who were admitted to prison (Part
1), released from prison (Part 2), or released from parole (Part 3) in
1999. Variables include incarceration history, current offenses, and
total time served. Background information on individuals includes year
of birth, sex, age, race, Hispanic origin, and educational attainment.
National Corrections Reporting Program, 1998

The purpose of this study was to gather data on prisoners
entering and leaving the custody or supervision of state and federal
authorities. Data refer to prisoners who were admitted to prison,
released from prison, or released from parole in 1998. Variables
include incarceration history, current offenses, and total time
served. Background information on individuals includes year of birth,
sex, age, race, Hispanic origin, and educational attainment.
National Corrections Reporting Program, 1997

The purpose of this study was to gather data on prisoners
entering and leaving the custody or supervision of state and federal
authorities. Data refer to prisoners who were admitted to prison,
released from prison, or released from parole in 1997. Variables
include incarceration history, current offenses, and total time
served. Background information on individuals includes year of birth,
sex, age, race, Hispanic origin, and educational attainment.
National Corrections Reporting Program, 1996

The purpose of this study was to gather data on prisoners
entering and leaving the custody or supervision of state and federal
authorities. Data refer to prisoners who were admitted to prison,
released from prison, or released from parole in 1996. Variables
include incarceration history, current offenses, and total time
served. Background information on individuals includes year of birth,
sex, age, race, Hispanic origin, and educational attainment.
National Corrections Reporting Program, 1995

The purpose of this study was to gather data on prisoners
entering and leaving the custody or supervision of state and federal
authorities. Data refer to prisoners who were admitted to prison,
released from prison, or released from parole in 1995. Variables
include incarceration history, current offenses, and total time
served. Background information on individuals includes year of birth,
sex, age, race, Hispanic origin, and educational attainment.
National Corrections Reporting Program, 1994

The purpose of this study was to gather data on prisoners
entering and leaving the custody or supervision of state and federal
authorities. Data refer to prisoners who were admitted to prison,
released from prison, or released from parole in 1994. Variables
include incarceration history, current offenses, and total time
served. Background information on individuals includes year of birth,
sex, age, race, Hispanic origin, and educational attainment.
National Corrections Reporting Program, 1993

This study was conducted to provide a consistent and
comprehensive description of convicted persons' entrance into and departure
from correctional custody and correctional supervision. To accomplish
this goal, data were gathered from official state prison records on
topics such as race, sex, and age of inmates, length of time in jail,
length of time in prison, and type of offense committed. The data were
collected from the state prison systems of 38 states, as well
as the Federal Prison System, the California Youth Authority, and the
District of Columbia.
Multi-User Database on the Attributes of United States District Court Judges, 1801-2000

This project was undertaken to compile a definitive database on the personal, social, economic, career, and political attributes of judges who served on the United States District Courts from 1801 to 2000. The database includes conventional social background variables such as the name of the appointing president, the judge's religion, political party affiliation, education, and prior experience. In addition, unique items are provided: the temporal sequence of prior career experiences, the timing of and reason for leaving the bench, gender, race and ethnicity, position numbering analogous to the scheme used for the Supreme Court, American Bar Association rating, and net worth (for judges who began service on the bench after 1978). The second objective of this project was to merge these data with a multi-user database on United States District Court decisions. The database is headed by Donald Songer and funded by the National Science Foundation. It includes a unique identification number for each judge participating in a particular decision. The combined databases should enable scholars to explore: (1) intra- and inter-circuit fluctuation in the distribution of social background characteristics, (2) generational and presidential cohort variation in these attributes, and (3) state and partisan control of seats. The collection also facilitates the construction of models that examine the effects of personal attributes on decision making, while controlling for the conditions above. See also MULTI-USER DATABASE ON THE ATTRIBUTES OF UNITED STATES APPEALS COURT JUDGES, 1801-1994 (ICPSR 6796).
Offender Based Transaction Statistics (OBTS), 1984: Alaska, California, Delaware, Georgia, Minnesota, Missouri, Nebraska, New York, Ohio, Pennsylvania, and Virginia

Offender Based Transaction Statistics (OBTS) studies are
 designed to collect information by tracking adult offenders from the
 point of entry into the criminal justice system (typically by arrest)
 through final disposition, regardless of whether the offender is
 convicted or acquitted. Information is provided on arrest, police
 action, prosecutor action, level of charges, charges filed by the
 prosecutor, type of counsel, pretrial status, type of trial, sentence
 type, and sentence length. This allows researchers to examine how the
 criminal justice system processes offenders, to measure the changing
 volume of offenders moving through the different segments of the
 criminal justice system, to calculate processing time intervals
 between major decision-making events, and to assess the changing
structure of the offender population.
Executions in the United States, 1608-2002:  The ESPY File 

This collection furnishes data on executions performed under
civil authority in the United States between 1608 and 2002. The dataset
describes each individual executed and the circumstances surrounding
the crime for which the person was convicted. Variables include age,
race, name, sex, and occupation of the offender, place, jurisdiction,
date, and method of execution, and the crime for which the offender was
executed. Also recorded are data on whether the only evidence for the
execution was official records indicating that an individual
(executioner or slave owner) was compensated for an execution.
National Incident-Based Reporting System, 2004: 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.
National Incident-Based Reporting System, 2004

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). In the late 1970s, the law
 enforcement community called for a thorough evaluative study of the
 UCR with the objective of recommending an expanded and enhanced UCR
 program to meet law enforcement needs into the 21st century. The FBI
 fully concurred with the need for an updated program to meet
 contemporary needs and provided its support, formulating a
 comprehensive redesign effort. Following a multiyear study, a
 "Blueprint for the Future of the Uniform Crime Reporting Program" was
 developed. Using the "Blueprint," and in consultation with local and
 state law enforcement executives, the FBI formulated new guidelines
 for the Uniform Crime Reports. The National Incident-Based Reporting
 System (NIBRS) was implemented to meet these guidelines. NIBRS data
 are archived at ICPSR as 13 separate data files per year, which may be
 merged by using linkage variables. The data focus on a variety of
 aspects of a crime incident. Part 4, Administrative Segment, offers
 data on the incident, itself (date and time). Each crime incident is
 delineated by one administrative segment record. Also provided are
 Part 5, Offense Segment (offense type, location, weapon use, and bias
 motivation), Part 6, Property Segment (type of property loss, property
 description, property value, drug type and quantity), Part 7, Victim
 Segment (age, sex, race, ethnicity, and injuries), Part 8, Offender
 Segment (age, sex, and race), and Part 9, Arrestee Segment (arrest
 date, age, sex, race, and weapon use). The Batch Header Segment (Parts
 1-3) separates and identifies individual police agencies by
 Originating Agency Identifier (ORI). Batch Header information, which
 is contained on three records for each ORI, includes agency name,
 geographic location, and population of the area. Part 10, Group B
 Arrest Report Segment, includes arrestee data for Group B crimes.
 Window Segments files (Parts 11-13) pertain to incidents for which the
 complete Group A Incident Report was not submitted to the FBI. In
 general, a Window Segment record will be generated if the incident
 occurred prior to January 1 of the previous year or if the incident
 occurred prior to when the agency started NIBRS reporting. As with the
 UCR, participation in NIBRS is voluntary on the part of law
 enforcement agencies. The data are not a representative sample of
crime in the United States.
Uniform Crime Reporting Program Data [United States]:  Offenses Known and Clearances by Arrest, 1972  

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.
Uniform Crime Reporting Program Data [United States]:  Offenses Known and Clearances by Arrest, 1971  

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.
Uniform Crime Reporting Program Data [United States]:  Offenses Known and Clearances by Arrest, 1970  

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.
Uniform Crime Reporting Program Data [United States]:  Offenses Known and Clearances by Arrest, 1969  

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.
Uniform Crime Reporting Program Data [United States]:  Offenses Known and Clearances by Arrest, 1968  

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.
Uniform Crime Reporting Program Data [United States]:  Offenses Known and Clearances by Arrest, 1967  

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.
Uniform Crime Reporting Program Data [United States]:  Offenses Known and Clearances by Arrest, 1966  

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.
Uniform Crime Reporting Program Data [United States]:  Offenses Known and Clearances by Arrest, 1965  

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.
Uniform Crime Reporting Program Data [United States]:  Offenses Known and Clearances by Arrest, 1964  

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.