cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/wthm-c116-2178
title: Firefighter George Cornelson, photograph, circa 1909

description: A cabinet card photograph portrait of firefighter George Cornelson, Los Angeles, California, USA, circa 1909. The view shows Cornelson in uniform from about the knees up and he has some insignias on this flat cap and on the wide belt. On the reverse in pencil are the initials "GHC," while on item .1 of this accession, he is identified. There are a few small stains and minor edge rubbing on the matte and the item is in good condition.
DOI: 10.6084/m9.figshare.16575402
title: Additional file 9 of Mitonuclear mismatch alters nuclear gene expression in naturally introgressed Rhinolophus bats

description: Additional file 9: Table S6. List of 77 nuclear-encoded OXPHOS genes used in Shen et al. (2010).
DOI: 10.5281/zenodo.8226064
title: Individual multilocus genotypes from four populations of Helichrysum arenarium (Asteraceae) from Belgium and Germany

description: Individual multilocus genotypes based on 11 microsatellites loci from four populations of Helichrysum arenarium (Asteraceae) from Belgium and Germany. For more details, see Van Rossum et al. 2024 "Genetic diversity assessment of Helichrysum arenarium (Asteraceae) for the genetic restoration of declining populations" in Ecology and Evolution
DOI: 10.5281/zenodo.8226065
title: Individual multilocus genotypes from four populations of Helichrysum arenarium (Asteraceae) from Belgium and Germany

description: Individual multilocus genotypes based on 11 microsatellites loci from four populations of Helichrysum arenarium (Asteraceae) from Belgium and Germany. For more details, see Van Rossum et al. 2024 "Genetic diversity assessment of Helichrysum arenarium (Asteraceae) for the genetic restoration of declining populations" in Ecology and Evolution
DOI: 10.6084/m9.figshare.16575332
title: Additional file 2 of Genomic basis underlying the metabolome-mediated drought adaptation of maize

description: Additional file 2. A master file for Table S1-13, about the information of the association population, the metabolomes, mGWAS, candidate genes and their genetic control.
DOI: 10.25574/30523
title: Chandra X-ray Observatory ObsId 30523

description: Study of the CrA Dark Cloud
DOI: 10.3886/icpsr38420.v1
title: National Drug Abuse Treatment System Survey, Waves V-IX, [United States], 2000-2017
title: Version 1

description: The National Drug Abuse Treatment System Survey (NDATSS) is a longitudinal program of research into organizational structures, operating characteristics, and treatment practices of outpatient drug treatment programs in the United States. This is done through interviews with program directors and clinical supervisors. In some publications, this research is referred to as the Outpatient Drug Abuse Treatment Studies (ODATS). Data in this collection include Wave V, Wave VI, Wave VII, Wave VIII, and Wave IX. NDATSS includes four prior waves of data collection from substance abuse treatment programs surveyed in 1984, 1988, 1990, and 1995. Waves II through IV can be found at ICPSR here. Wave I is not planned for public release because it had a significantly different sample design than the other waves.
description: The purpose of the study is to help understand factors that promote the delivery of effective services in health care organizations.
description: Weight variables are included in the data.
description: Response Rates: 2005: 76% 2013: 86%
description: Datasets: DS0: Study-Level Files DS1: Wave V, 1999-2000, Public-Use Data DS2: Wave V, 1999-2000, Restricted-Use Data DS3: Wave VI, 2005, Public-Use Data DS4: Wave VI, 2005, Restricted-Use Data DS5: Wave VII, 2011, Public-Use Data DS6: Wave VII, 2011, Restricted-Use Data DS7: Wave VIII, 2013, Public-Use Data DS8: Wave VIII, 2013, Restricted-Use Data DS9: Wave IX, 2017, Public-Use Data DS10: Wave IX, 2017, Restricted-Use Data DS11: Linking Dataset 1 DS12: Linking Dataset 2
description: Programs that treat substance abuse, including at least some drug abuse, in the United States. Smallest Geographic Unit: Zip Code
description: computer-assisted telephone interview (CATI); telephone interview
DOI: 10.3886/icpsr37987.v1
title: Monitoring of Federal Criminal Sentences, [United States], 2017-2018
title: Version 1

description: This collection contains information on federal criminal cases sentenced under the Sentencing Guidelines and Policy Statements of the Sentencing Reform Act of 1984. The data files include all cases received by the United States Sentencing Commission that had sentencing dates between October 1, 2017, and September 30, 2018, and were assessed as constitutional. Constitutionality compares each case's sentencing date, circuit, district, and judge to provide uniformity in reporting the cases. In 1999, the United States Sentencing Commission added more variables from its databases to this collection, so the data are now provided in two files. Several variables iterate to include multiple occurrences of the same event. Part 1, Main Data, includes all noniterating variables plus the highest occurrences of each iterating variable. Part 2, Supplementary Data, includes the remaining iterations.
description: Datasets: DS0: Study-Level Files DS1: Main Data DS2: Supplemental Data
description: All cases received by the United States Sentencing Commission that had sentencing dates between October 1, 2017, and September 30, 2018, and were assessed as constitutional. Smallest Geographic Unit: Federal court district
description: Starting with the 1999 data, ICPSR archives MONITORING OF FEDERAL CRIMINAL SENTENCES under a new study number for each year of data. Data for the years 1993-1998 are archived in MONITORING OF FEDERAL CRIMINAL SENTENCES, 1987-1998 (ICPSR 9317).The data producer is the United States Sentencing Commission, Washington, DC.
DOI: 10.3886/icpsr38148.v1
title: Southwestern Madagascar Markers Study, 2019
title: Version 1

description: This study is about ethnic markers in Southwestern Madagascar in 2019. It includes Norms and Experiments datasets. The survey for the Norms data included questions about social organization and gender, subsistence knowledge, supernatural knowledge, and taboos. The collection for Experiments data is about four photo sorting experiments. The purpose of the experiments was to discover whether Masikoro, Mikea, and Vezo people can tell one another apart according to their dress, and to discover whether they prefer to cooperate with those of their same ethnicity.
description: The purpose of the experiments was to discover whether Masikoro, Mikea, and Vezo people can tell one another apart according to their dress, and to discover whether they prefer to cooperate with those of their same ethnicity.
description: Two versions of a questionnaire were constructed (version A and version B) and administered in two Masikoro villages (Antaimbalabo and Tsiloakarivo), two Mikea communities (Bevondrorano and the Namonte Basin habitations), and two Vezo villages (Beangolo and Ampasilava). The questionnaire was administered to 25 adults per version per site, or 150 per version for the Norm dataset 1. Questions covered many domains: social organization and gender, subsistence knowledge, supernatural knowledge, and taboos. One hundred and seventy eight adults in six villages were asked to classify photos of unfamiliar southwestern Malagasy people by either ethnicity (experiments 1-3), or by with whom they would, or would not, choose to cooperate (experiment 4). These data make up the Experiments dataset 2. Please see the PI's codebooks for more detailed information for both datasets.
description: Datasets: DS0: Study-Level Files DS1: Norms Dataset DS2: Experiments Dataset
description: Smallest Geographic Unit: village
description: on-site questionnaireThese data and analysis files correspond to a study of ethnic markers in Southwestern Madagascar, conducted by Bram Tucker, Tsiazonera, Jaovola Tombo, Patricia Hajasoa, Soanahary Gérard, and Rolland Lahiniriko, Angelah Halatiana Garçon in 2019, as organized an analyzed by Erik Ringen. A manuscript based on these analyses has been submitted to the journal Human Nature, entitled, "Ethnic markers without ethnic conflict: Why do interdependent Masikoro, Mikea, and Vezo of Madagascar signal their ethnic differences?"For more information about the variable "NAME" (Question name), see PI questionnaire document.
DOI: 10.3886/icpsr38148
title: Southwestern Madagascar Markers Study, 2019
title: Archival Version

description: This study is about ethnic markers in Southwestern Madagascar in 2019. It includes Norms and Experiments datasets. The survey for the Norms data included questions about social organization and gender, subsistence knowledge, supernatural knowledge, and taboos. The collection for Experiments data is about four photo sorting experiments. The purpose of the experiments was to discover whether Masikoro, Mikea, and Vezo people can tell one another apart according to their dress, and to discover whether they prefer to cooperate with those of their same ethnicity.
description: The purpose of the experiments was to discover whether Masikoro, Mikea, and Vezo people can tell one another apart according to their dress, and to discover whether they prefer to cooperate with those of their same ethnicity.
description: Two versions of a questionnaire were constructed (version A and version B) and administered in two Masikoro villages (Antaimbalabo and Tsiloakarivo), two Mikea communities (Bevondrorano and the Namonte Basin habitations), and two Vezo villages (Beangolo and Ampasilava). The questionnaire was administered to 25 adults per version per site, or 150 per version for the Norm dataset 1. Questions covered many domains: social organization and gender, subsistence knowledge, supernatural knowledge, and taboos. One hundred and seventy eight adults in six villages were asked to classify photos of unfamiliar southwestern Malagasy people by either ethnicity (experiments 1-3), or by with whom they would, or would not, choose to cooperate (experiment 4). These data make up the Experiments dataset 2. Please see the PI's codebooks for more detailed information for both datasets.
description: Datasets: DS0: Study-Level Files DS1: Norms Dataset DS2: Experiments Dataset
description: Smallest Geographic Unit: village
description: on-site questionnaireThese data and analysis files correspond to a study of ethnic markers in Southwestern Madagascar, conducted by Bram Tucker, Tsiazonera, Jaovola Tombo, Patricia Hajasoa, Soanahary Gérard, and Rolland Lahiniriko, Angelah Halatiana Garçon in 2019, as organized an analyzed by Erik Ringen. A manuscript based on these analyses has been submitted to the journal Human Nature, entitled, "Ethnic markers without ethnic conflict: Why do interdependent Masikoro, Mikea, and Vezo of Madagascar signal their ethnic differences?"For more information about the variable "NAME" (Question name), see PI questionnaire document.
DOI: 10.3886/icpsr38552.v1
title: Monitoring of Federal Criminal Sentences, [United States], 2020-2021
title: Version 1

description: This collection contains information on federal criminal cases sentenced under the Sentencing Guidelines and Policy Statements of the Sentencing Reform Act of 1984. The data files include all cases received by the United States Sentencing Commission that had sentencing dates between October 1, 2020, and September 30, 2021, and were assessed as constitutional. Constitutionality compares each case's sentencing date, circuit, district, and judge to provide uniformity in reporting the cases. In 1999, the United States Sentencing Commission added more variables from its databases to this collection, so the data are now provided in two files. Several variables iterate to include multiple occurrences of the same event. Part 1, Main Data, includes all noniterating variables plus the highest occurrences of each iterating variable. Part 2, Supplementary Data, includes the remaining iterations.
description: Datasets: DS0: Study-Level Files DS1: Main Data DS2: Supplemental Data
description: All cases received by the United States Sentencing Commission that had sentencing dates between October 1, 2020, and September 30, 2021, and were assessed as constitutional. Smallest Geographic Unit: federal court district
description: Starting with the 1999 data, ICPSR archives MONITORING OF FEDERAL CRIMINAL SENTENCES under a new study number for each year of data. Data for the years 1993-1998 are archived in MONITORING OF FEDERAL CRIMINAL SENTENCES, 1987-1998 (ICPSR 9317).The data producer is the United States Sentencing Commission, Washington, DC.
DOI: 10.3886/icpsr37975.v1
title: Monitoring of Federal Criminal Sentences, [United States], 2016-2017
title: Version 1

description: This collection contains information on federal criminal cases sentenced under the Sentencing Guidelines and Policy Statements of the Sentencing Reform Act of 1984. The data files include all cases received by the United States Sentencing Commission that had sentencing dates between October 1, 2016, and September 30, 2017, and were assessed as constitutional. Constitutionality compares each case's sentencing date, circuit, district, and judge to provide uniformity in reporting the cases. In 1999, the United States Sentencing Commission added more variables from its databases to this collection, so the data are now provided in two files. Several variables iterate to include multiple occurrences of the same event. Part 1, Main Data, includes all noniterating variables plus the highest occurrences of each iterating variable. Part 2, Supplementary Data, includes the remaining iterations.
description: Datasets: DS0: Study-Level Files DS1: Main Data DS2: Supplemental Data
description: All cases received by the United States Sentencing Commission that had sentencing dates between October 1, 2016, and September 30, 2017, and were assessed as constitutional. Smallest Geographic Unit: federal court district
description: Starting with the 1999 data, ICPSR archives MONITORING OF FEDERAL CRIMINAL SENTENCES under a new study number for each year of data. Data for the years 1993-1998 are archived in MONITORING OF FEDERAL CRIMINAL SENTENCES, 1987-1998 (ICPSR 9317).The data producer is the United States Sentencing Commission, Washington, DC.
DOI: 10.3886/icpsr38038.v1
title: Mortality in Correctional Institutions: Jail Population Distributions, 2000-2019
title: Version 1

description: The Mortality in Correctional Institutions series (MCI), formerly Deaths in Custody Reporting Program (DCRP), is an annual data collection conducted by the Bureau of Justice Statistics (BJS). The DCRP began in 2000 under the Death in Custody Reporting Act of 2000 (P.L. 106-297). It is the only national statistical collection that obtains detailed information about deaths in adult correctional facilities. The MCI collects data on persons dying in state prisons, local jails and in the process of arrest. Each collection is a separate subcollection, but each is under the umbrella of the MCI collection. This deals with the local jails subcollection, which includes a jail populations file. The jails portion of the Mortality in Correctional Institutions began in 2000 after the passage of the Deaths in Custody Reporting Act of 2000 in October of 2000. The original law lapsed at year-end 2006, but BJS continued to collect the data on a voluntary basis until the reauthorization of the Deaths in Custody Reporting Act in December of 2014. The jails component of the MCI collects data on deaths of inmates occurring in local jail facilities while inmates are in the physical custody of jail facility officials, even if they are being held for other jurisdictions. This longitudinal dataset includes year-end estimates of the demographic characteristics of all jail populations at the national level. It does not include death data. Users interested in that data should refer to Mortality in Correctional Institutions: Local Jails, 2000-2019 (ICPSR 38036).
description: Population-level demographic data are calculated from national surveys of local jail inmate populations.
description: Datasets: DS1: Mortality in Correctional Institutions: Jail Population Distributions, 2000-2019
description: Individuals incarcerated in local jail facilities. Smallest Geographic Unit: national
DOI: 10.3886/icpsr38038
title: Mortality in Correctional Institutions: Jail Population Distributions, 2000-2019
title: Archival Version

description: The Mortality in Correctional Institutions series (MCI), formerly Deaths in Custody Reporting Program (DCRP), is an annual data collection conducted by the Bureau of Justice Statistics (BJS). The DCRP began in 2000 under the Death in Custody Reporting Act of 2000 (P.L. 106-297). It is the only national statistical collection that obtains detailed information about deaths in adult correctional facilities. The MCI collects data on persons dying in state prisons, local jails and in the process of arrest. Each collection is a separate subcollection, but each is under the umbrella of the MCI collection. This deals with the local jails subcollection, which includes a jail populations file. The jails portion of the Mortality in Correctional Institutions began in 2000 after the passage of the Deaths in Custody Reporting Act of 2000 in October of 2000. The original law lapsed at year-end 2006, but BJS continued to collect the data on a voluntary basis until the reauthorization of the Deaths in Custody Reporting Act in December of 2014. The jails component of the MCI collects data on deaths of inmates occurring in local jail facilities while inmates are in the physical custody of jail facility officials, even if they are being held for other jurisdictions. This longitudinal dataset includes year-end estimates of the demographic characteristics of all jail populations at the national level. It does not include death data. Users interested in that data should refer to Mortality in Correctional Institutions: Local Jails, 2000-2019 (ICPSR 38036).
description: Population-level demographic data are calculated from national surveys of local jail inmate populations.
description: Datasets: DS1: Mortality in Correctional Institutions: Jail Population Distributions, 2000-2019
description: Individuals incarcerated in local jail facilities. Smallest Geographic Unit: national
DOI: 10.3886/icpsr38649.v1
title: National Neighborhood Data Archive (NaNDA): Crimes by County, United States, 2002-2014
title: Version 1

description: This dataset contains county-level totals for the years 2002-2014 for eight types of crime: murder, rape, robbery, aggravated assault, burglary, larceny, motor vehicle theft, and arson. These crimes are classed as Part I criminal offenses by the United States Federal Bureau of Investigations (FBI) in their Uniform Crime Reporting (UCR) program. Each record in the dataset represents the total of each type of criminal offense reported in (or, in the case of missing data, attributed to) the county in a given year.
description: The purpose of this study was to aggregate county-level Uniform Crime Reporting (UCR) data for the years 2002-2014.
description: Data were compiled from the Universal Crime Reporting (UCR) Program Data Series at the National Archive of Criminal Justice Data (NACJD) Inter-university Consortium for Political and Social Research (ICPSR). Specifically, the data come from dataset 4, "Crimes Reported," in NACJD's County-level Detailed Arrest and Offense Data studies for the years 2002-2014. The Federal Bureau of Investigations (FBI) collects crime statistics from participating United States law enforcement agencies and provides it to ICPSR, which aggregates data and imputes or calculates missing data for use by researchers. Additional information on the FBI source data, along with methods used by NACJD to impute missing observations and allocate crimes reported by multi-jurisdiction reporting agencies, can be found in the codebooks that accompany the original NACJD studies. In NACJD, UCR county-level crime data are split up by year and archived alongside agency-level arrest data, data on Phase II offenses, and more detailed data on certain criminal offenses (such as homicide and hate crimes). In this dataset, researchers have aggregated county-level Phase I crime data for multiple years, for the convenience of researchers investigating crime longitudinally or for use with multi-year datasets.
description: Datasets: DS1: National Neighborhood Data Archive (NaNDA): Crimes by County, United States, 2002-2014
description: All counties in the United States, excluding US island territories. Smallest Geographic Unit: county
description: Data and documentation for this study were originally deposited in openICPSR 115006.For additional information, see the National Neighborhood Data Archive (NaNDA).
DOI: 10.3886/icpsr38554.v1
title: Organizations Convicted in Federal Criminal Courts, 2021
title: Version 1

description: These data, collected to assist in the development of sentencing guidelines, describe offense and sentencing characteristics for organizations sentenced in federal district courts in 2021. The United States Sentencing Commission's primary function is to inform federal courts of sentencing policies and practices that include guidelines prescribing the appropriate form and severity of punishment for offenders convicted of federal crimes. Court-related variables include primary offense type, pecuniary offense loss and gain, dates of disposition and sentencing, method of determination of guilt, number of counts pled and charged, and dates and types of sentencing and restitution. Defendant organization variables include ownership structure, number of owners and employees, highest level of corporate knowledge of the criminal offense, highest level of corporate indictment and conviction for participation in the criminal offense, annual revenue, equity and financial status, whether it was a criminal organization, duration of criminal activity, and risk to national security. Organizational defendants data, 2021, covers fiscal year October 1, 2020, through September 30, 2021.
description: Datasets: DS1: Organizations Convicted in Federal Criminal Courts, 2021
description: All cases received by the United States Sentencing Commission that had sentencing dates between October 1, 2020 and September 30, 2021 and were assessed as constitutional. Smallest Geographic Unit: federal court district
description: Starting with the 1999 data, ICPSR archives ORGANIZATIONS CONVICTED IN FEDERAL CRIMINAL COURTS under a new study number for each year of data. Data for the years 1987-1998 are archived in ORGANIZATIONS CONVICTED IN FEDERAL CRIMINAL COURTS, 1987-1998 (ICPSR 9513).