cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.j4ysa2
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aloe versicolor Guillaumin"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026461-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-3666
title: Report of the Governor's Panel to Review Police Training Programs, 1989-05

description: Reports - Report of the Governor's Panel to Review Police Training Programs, 1989 May. Also John M. Callahan (Growhoski, Callahan, MIles & Kundl), 60 State Street, Northampton, Massachusetts, letter, 1991 April 10, to Warren Christopher (O'Melveny & Myers), 400 South Hope Street, Los Angeles, California. PART OF A SERIES: The series consists of miscellaneous source materials that were collected and analyzed over the course of the Independent Commission's investigation. Included are the following: article clippings pertaining to the Rodney King incident; legal materials related to the Gates v. Board of Los Angeles Police Commissioners case, including appellate documents, court transcripts, preliminary injunctions, and briefs; black-and-white photographs; essays and articles related to police misconduct; issues of The Thin Blue Line, the Los Angeles Police Protective League's monthly publication, and Perspectives on Policing, a newsletter published by the United States Department of Justice; materials regarding policing issues in other major United States cities, including commission reports and Pate and Hamilton's book The Big Six: Policing America's Largest Cities; supplemental materials and appendices to the Independent Commission's report; requests for copies of the Commission report; transcripts from public hearings conducted by members of the Commission; and instructional materials related to the Video Incident Capture System, a video camera system that provides video and audio records of police officers' activities while on patrol.
DOI: 10.15468/dl.amzyxs
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Megascops vermiculatus Ridgway, 1887"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002272-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-42425
title: Claims (GX 14638 - GX 15135), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.q3qqqt
title: Occurrence Download

description: A dataset containing 5791057 species occurrences available in GBIF matching the query:
{
 "GadmGid" : [
 "is IND.17_1"
 ]
}

 The dataset includes 5791057 records from 397 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051450-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqguyf
title: Occurrence Download

description: A dataset containing 135656 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bird Conservation Targeting Project (BCTP) in the UK, 2006-2011"
 ]
}

 The dataset includes 135656 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020485-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.reb7rz
title: Occurrence Download

description: A dataset containing 133126 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is VIT-Coleopterotheca (The Natural History Museum of Álava)"
 ]
}

 The dataset includes 133126 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020486-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1049051.10fu
title: SH1049051.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1049053.10fu
title: SH1049053.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1049054.10fu
title: SH1049054.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1049057.10fu
title: SH1049057.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1049061.10fu
title: SH1049061.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1049063.10fu
title: SH1049063.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1049064.10fu
title: SH1049064.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1049065.10fu
title: SH1049065.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1049069.10fu
title: SH1049069.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1049070.10fu
title: SH1049070.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.15200209
title: 증명 완료
DOI: 10.5281/zenodo.15200210
title: 증명 완료
DOI: 10.15468/dl.pt2z5x
title: Occurrence Download

description: A dataset containing 23341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cistus clusii Dunal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23341 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018397-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9vhau
title: Occurrence Download

description: A dataset containing 16971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anthoxanthum aristatum Boiss.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16971 records from 334 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007316-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9wbx3
title: Occurrence Download

description: A dataset containing 26001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Thunnus obesus (Lowe, 1839)",
 "Year 2000-2025"
 ]
}

 The dataset includes 26001 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007380-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rj4huc
title: Occurrence Download

description: A dataset containing 42891 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Argentina, Paraguay)",
 "TaxonKey is Chloroceryle americana (J.F.Gmelin, 1788)",
 "Year 1000-2024"
 ]
}

 The dataset includes 42891 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007381-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr39234
title: National Corrections Reporting Program, 1991-2021: Selected Variables
title: Archival Version

description: The National Corrections Reporting Program (NCRP) compiles offender-level data on admissions and releases from state and federal prisons and post-confinement community supervision. The data are used to monitor the nation's correctional population and address specific policy questions related to recidivism, prisoner reentry, and trends in demographic characteristics of the incarcerated and community supervision populations. The Bureau of Justice Statistics (BJS) has administered the NCRP since 1983. Abt Associates has served as the NCRP data collection agent since October 2010.
This version of the NCRP contains selected variables making it suitable for public release.
This version of the NCRP data contains data for term records, prison admissions, prison releases, and year-end prison population counts. The data files have selected variables making the data suitable for public release. The complete version of NCRP data is classified as restricted access. Please search for (ICPSR No. 39233) to find the analogous complete version of this file.
description: Datasets: 
DS0: Study-Level Files
DS1: Term Records
DS2: Prison Admissions
DS3: Prison Releases
DS4: Year-end Population
description: All persons admitted to state prison, released from state prison, or in state prison at year-end from 1991 to 2021 in the United States. Smallest Geographic Unit: State
description: mail questionnaireSome values in the date variables are likely entry mistakes by the state. Users should run frequencies prior to analysis to identify outliers.
DOI: 10.3886/icpsr39234.v1
title: National Corrections Reporting Program, 1991-2021: Selected Variables
title: Version 1

description: The National Corrections Reporting Program (NCRP) compiles offender-level data on admissions and releases from state and federal prisons and post-confinement community supervision. The data are used to monitor the nation's correctional population and address specific policy questions related to recidivism, prisoner reentry, and trends in demographic characteristics of the incarcerated and community supervision populations. The Bureau of Justice Statistics (BJS) has administered the NCRP since 1983. Abt Associates has served as the NCRP data collection agent since October 2010.
This version of the NCRP contains selected variables making it suitable for public release.
This version of the NCRP data contains data for term records, prison admissions, prison releases, and year-end prison population counts. The data files have selected variables making the data suitable for public release. The complete version of NCRP data is classified as restricted access. Please search for (ICPSR No. 39233) to find the analogous complete version of this file.
description: Datasets: 
DS0: Study-Level Files
DS1: Term Records
DS2: Prison Admissions
DS3: Prison Releases
DS4: Year-end Population
description: All persons admitted to state prison, released from state prison, or in state prison at year-end from 1991 to 2021 in the United States. Smallest Geographic Unit: State
description: mail questionnaireSome values in the date variables are likely entry mistakes by the state. Users should run frequencies prior to analysis to identify outliers.
DOI: 10.5281/zenodo.14984106
title: Electron Heating by Parallel Electric Fields in Magnetotail Reconnection
DOI: 10.5281/zenodo.14984107
title: Electron Heating by Parallel Electric Fields in Magnetotail Reconnection
DOI: 10.15468/dl.x94qaz
title: Occurrence Download

description: A dataset containing 4385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Paraguay, Argentina)",
 "TaxonKey is Chloroceryle inda (Linnaeus, 1766)",
 "Year 1000-2024"
 ]
}

 The dataset includes 4385 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007317-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v873f3
title: Occurrence Download

description: A dataset containing 16511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Argentina, Paraguay)",
 "TaxonKey is Momotus momota (Linnaeus, 1766)",
 "Year 1000-2024"
 ]
}

 The dataset includes 16511 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007383-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.karn7v
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Other Arachnida collection of National Museum of Nature and Science"
 ]
}

 The dataset includes 148 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007318-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.