cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25572363
title: Pseudogenome of <i>Spea multiplicata</i> and supplement for Isdaner et al., 2024

description: This dataset primarily consists of a new pseudogenome assembly of the Mexican spadefoot toad, <i>S. multiplicata</i>. The previous, fragmentary genome assembly was improved by the alignment of newly generated Hi-C sequencing data. This assembly was then scaffolded along the existing genome of a congener, <i>S. bombifrons</i>. This dataset additionally contains supplemental data for a manuscript in preparation that reports the first QTL identified in <i>S. multiplicata</i> associated with phenotypic plasticity in tadpoles. These datasets include the output from each QTL scan, and the BLAST results reporting the best match from three species for each gene or transcript found in the 200 Kb window around each identified QTL.
DOI: 10.6084/m9.figshare.25572363.v1
title: Pseudogenome of <i>Spea multiplicata</i> and supplement for Isdaner et al., 2024

description: This dataset primarily consists of a new pseudogenome assembly of the Mexican spadefoot toad, <i>S. multiplicata</i>. The previous, fragmentary genome assembly was improved by the alignment of newly generated Hi-C sequencing data. This assembly was then scaffolded along the existing genome of a congener, <i>S. bombifrons</i>. This dataset additionally contains supplemental data for a manuscript in preparation that reports the first QTL identified in <i>S. multiplicata</i> associated with phenotypic plasticity in tadpoles. These datasets include the output from each QTL scan, and the BLAST results reporting the best match from three species for each gene or transcript found in the 200 Kb window around each identified QTL.
DOI: 10.15468/dl.f3q3ds
title: Occurrence Download

description: A dataset containing 19753 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"in","key":"TAXON_KEY","values":["2977273","2977121","2977141","2977222","2977252","2977187","2977261","2977171","2977192","3970567","2977280","3970556","2977098","3970531","2977198","10687747","3970478","2977283","2977128","3970430","2977194","3970409","2977095","3970389","2977274","2977282","2977200","3970356","2977135","2977289","2977232","2977140","2977293","3970251","3970217","2977096","2977218","2977291","2977176","2977208","2977294","2977229","3970076","2977270","2977211","2977125","2977292","3970031","2977234","2977210","2977123","2977204","2977117","2977262","2977212","3969935","2977228","2977119","2977278","2977124","2977281","2977214","2977250","2977133","2977213","2977207","2977131","8939932","2977120","2977279","3969704","2977111","2977115","2977276","2977149","2977206","3969607","3969604","2977277","2977209","2977272","10831598","2977196","3969553","2977099","2977275","2977146","2977105","2977197"],"matchCase":false},{"type":"equals","key":"BASIS_OF_RECORD","value":"PRESERVED SPECIMEN","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false}]}

 The dataset includes 19753 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0241564-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4b9t7y
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Mongolia)",
 "TaxonKey is Eucalyptus camaldulensis Denham"
 ]
}

 The dataset includes 174 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016570-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr24644
title: National Crime Victimization Survey: Unbounded Data, 2006 [Record-Type Files]
title: Archival Version

description: The National Crime Victimization Survey: Unbounded Data (also referred to as the All Rotations Data) are now being made available to the public for analytic use. These data differ from the "regular" National Crime Victimization Survey (NCVS) data in that they contain the first interview with respondents. The National Crime Victimization Survey Series, previously called the National Crime Surveys (NCS), has been collecting data on personal and household victimization through an ongoing survey of a nationally-representative sample of residential addresses since 1973. The NCVS was designed with four primary objectives: (1) to develop detailed information about the victims and consequences of crime, (2) to estimate the number and types of crimes not reported to the police, (3) to provide uniform measures of selected types of crimes, and (4) to permit comparisons over time and types of areas. The survey categorizes crimes as "personal" or "property." Personal crimes include rape and sexual attack, robbery, aggravated and simple assault, and purse-snatching/pocket-picking, while property crimes include burglary, theft, motor vehicle theft, and vandalism. Each respondent is asked a series of screen questions designed to determine whether she or he was victimized during the six-month period preceding the first day of the month of the interview. A "household respondent" is also asked to report on crimes against the household as a whole (e.g., burglary, motor vehicle theft). The data include type of crime, month, time, and location of the crime, relationship between victim and offender, characteristics of the offender, self-protective actions taken by the victim during the incident and results of those actions, consequences of the victimization, type of property lost, whether the crime was reported to police and reasons for reporting or not reporting, and offender use of weapons, drugs, and alcohol. Basic demographic information such as age, race, gender, and income is also collected to enable analysis of crime by various subpopulations.
description: The data files include three weight variables: household, person, and incident. To use the weights correctly they must be adjusted. See the codebook for information on how to adjust the weights to calculate household, population, and victimization estimates.
description: Stratified multistage cluster sample.
description: Datasets: DS0: Study-Level Files DS1: Address Record-Type File DS2: Household Record-Type File DS3: Person Record-Type File DS4: Incident Record-Type File DS5: 2006 Incident-Level Extract File
description: All persons in the United States aged 12 and over. Smallest Geographic Unit: region
description: computer-assisted telephone interview (CATI); face-to-face interviewThe NCVS data are organized by year, with six collection quarters comprising an annual file: the four quarters of the current year plus the first two quarters of the following year.
DOI: 10.3886/icpsr02660
title: National Judicial Reporting Program, 1996
title: Archival Version

description: 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.
description: A two-stage stratified cluster sampling design was employed. At the first stage, 344 counties were selected from the 3,195 total counties in the nation. At the second stage, a systematic sample of felons sentenced for murder/nonnegligent manslaughter, rape, robbery, aggravated assault, burglary, felony larceny/motor vehicle theft, drug trafficking, and other offenses were selected from each county's official records.
description: Datasets: DS1: National Judicial Reporting Program, 1996
description: Sentenced felons in the United States.
description: Compiled by the United States Department of Commerce, Bureau of the Census.
DOI: 10.3886/icpsr06038
title: National Judicial Reporting Program, 1990
title: Archival Version

description: 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 100 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 the individual counties.
description: A two-stage stratified cluster sampling design was employed. At the first stage, 300 counties were selected from the 3,109 total counties in the nation. At the second stage, a systematic sample of felons sentenced for murder/non-negligent manslaughter, rape, robbery, aggravated assault, burglary, felony larceny/motor vehicle theft, drug trafficking, and other offenses were selected from each county's official records.
description: Datasets: DS1: National Judicial Reporting Program, 1990
description: Sentenced felons in the United States.
description: The data were compiled by the United States Department of Commerce, Bureau of the Census.
DOI: 10.3886/icpsr06509
title: National Judicial Reporting Program, 1992
title: Archival Version

description: 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 100 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 the individual counties.
description: A two-stage stratified cluster sampling design was employed. At the first stage, 300 counties were selected from the 3,109 total counties in the nation. At the second stage, a systematic sample of felons sentenced for murder/non-negligent manslaughter, rape, robbery, aggravated assault, burglary, felony larceny/motor vehicle theft, drug trafficking, and other offenses were selected from each county's official records.
description: Datasets: DS1: National Judicial Reporting Program, 1992
description: Sentenced felons in the United States.
description: The data were compiled by the United States Department of Commerce, Bureau of the Census.
DOI: 10.3886/icpsr06855
title: National Judicial Reporting Program, 1994
title: Archival Version

description: 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 100 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.
description: A two-stage stratified cluster sampling design was employed. At the first stage, 300 counties were selected from the 3,109 total counties in the nation. At the second stage, a systematic sample of felons sentenced for murder/nonnegligent manslaughter, rape, robbery, aggravated assault, burglary, felony larceny/motor vehicle theft, drug trafficking, and other offenses were selected from each county's official records.
description: Datasets: DS1: National Judicial Reporting Program, 1994
description: Sentenced felons in the United States.
description: The data were compiled by the United States Department of Commerce, Bureau of the Census.
DOI: 10.15468/dl.2pm2wx
title: Occurrence Download

description: A dataset listing the 916 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.36.63_1",
 "Year is 2023"
 ]
}

 The dataset's 916 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022808-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14844518
title: Doppler lidar measurements from Albbruck, Swabian MOSES 2023, Level 0 netCDF files

description: Original Doppler lidar measurements from the Doppler lidar Leosphere WLS200s_172 located at Albbruck, Germany (47.5858°N, 8.13°E), sampled during the Swabian MOSES 2023 field campaign from June to August 2023. An instrument failure occurred on 24th August 2023. Measurements after this failure are not valid.
description: Instrument: Doppler lidar Leosphere WLS200s
DOI: 10.5281/zenodo.14844519
title: Doppler lidar measurements from Albbruck, Swabian MOSES 2023, Level 0 netCDF files

description: Original Doppler lidar measurements from the Doppler lidar Leosphere WLS200s_172 located at Albbruck, Germany (47.5858°N, 8.13°E), sampled during the Swabian MOSES 2023 field campaign from June to August 2023. An instrument failure occurred on 24th August 2023. Measurements after this failure are not valid.
description: Instrument: Doppler lidar Leosphere WLS200s
DOI: 10.3886/icpsr22880
title: National Incident-Based Reporting System, 1995: Extract Files
title: Archival Version

description: 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.
description: Datasets: DS0: Study-Level Files DS1: Incident-Level File DS2: Victim-Level File DS3: Offender-Level File DS4: Arrestee-Level File
description: Law enforcement agencies in the United States participating in the National Incident-Based Reporting System.
description: self-enumerated questionnaire
DOI: 10.3886/icpsr22881
title: National Incident-Based Reporting System, 1996: Extract Files
title: Archival Version

description: 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.
description: Datasets: DS0: Study-Level Files DS1: Incident-Level File DS2: Victim-Level File DS3: Offender-Level File DS4: Arrestee-Level File
description: Law enforcement agencies in the United States participating in the National Incident-Based Reporting System.
description: self-enumerated questionnaire
DOI: 10.3886/icpsr22882
title: National Incident-Based Reporting System, 1997: Extract Files
title: Archival Version

description: 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.
description: Datasets: DS0: Study-Level Files DS1: Incident-Level File DS2: Victim-Level File DS3: Offender-Level File DS4: Arrestee-Level File
description: Law enforcement agencies in the United States participating in the National Incident-Based Reporting System.
description: self-enumerated questionnaire
DOI: 10.3886/icpsr22883
title: National Incident-Based Reporting System, 1998: Extract Files
title: Archival Version

description: 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.
description: Datasets: DS0: Study-Level Files DS1: Incident-Level File DS2: Victim-Level File DS3: Offender-Level File DS4: Arrestee-Level File
description: Law enforcement agencies in the United States participating in the National Incident-Based Reporting System.
description: self-enumerated questionnaire
DOI: 10.3886/icpsr04634
title: Law Enforcement Agency Identifiers Crosswalk [United States], 2005
title: Archival Version

description: The crosswalk file is designed to provide geographic and other identification information for each record included in either the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program files or in the Bureau of Justice Statistics' Census of State and Local Law Enforcement Agencies (CSLLEA). The main variables each record contains are the alpha state code, county name, place name, government agency name, police agency name, government identification number, Federal Information Processing Standards (FIPS) state, county, and place codes, and Originating Agency Identifier (ORI) code. These variables allow a researcher to take agency-level data, combine it with Bureau of the Census and BJS data, and perform place-level and government-level analyses.
description: Datasets: DS1: Law Enforcement Agency Identifiers Crosswalk [United States], 2005
description: Law enforcement agencies included in either the Federal Bureau of Investigation's Uniform Crime Reporting Program files or in the Bureau of Justice Statistics' Census of State and Local Law Enforcement Agencies. Smallest Geographic Unit: city
DOI: 10.3886/icpsr25863
title: National Incident-Based Reporting System, 1993: Extract Files
title: Archival Version

description: 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.
description: Datasets: DS0: Study-Level Files DS1: Incident-Level File DS2: Victim-Level File DS3: Offender-Level File DS4: Arrestee-Level File
description: Law enforcement agencies in the United States participating in the National Incident-Based Reporting System.
description: self-enumerated questionnaire