cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr29666
title: Annual Parole Survey, 1998
title: Archival Version

description: The 1998 Annual Parole Survey provides a count of the
total number of persons supervised in the community on January 1 and
December 31, 1998, and a count of the number entering and leaving
supervision during the year. The survey also provides counts of the number of parolees by certain characteristics, such as gender, race and Hispanic or Latino origin, supervision status, and cause of death. This survey covers all 50 States, the District of Columbia, and the federal system.
description: Datasets: 
DS1: Annual Parole Survey, 1998
description: All adult parolees conditionally released to parole supervision, whether by parole board decision or by mandatory conditional release, between January 1, 1998, and December 31, 1998. Smallest Geographic Unit: jurisdiction
description: mail questionnaire
DOI: 10.3535/bdj-le5-ahp
title: Erysimum crassistylum subsp. garganicum Peccenini & Polatschek

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xps-my4-5k7
title: Erysimum insubricum Peccenini & Polatschek

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr29667
title: Annual Parole Survey, 1999
title: Archival Version

description: The 1999 Annual Parole Survey provides a count of the
total number of persons supervised in the community on January 1 and
December 31, 1999, and a count of the number entering and leaving
supervision during the year. The survey also provides counts of the number of parolees by certain characteristics, such as gender, race and Hispanic or Latino origin, supervision status, and cause of death. This survey covers all 50 states, the District of Columbia, and the Federal System.
description: Datasets: 
DS1: Annual Parole Survey, 1999
description: All adult parolees conditionally released to parole supervision, whether by parole board decision or by mandatory conditional release, between January 1, 1999, and December 31, 1999. Smallest Geographic Unit: jurisdiction
description: mail questionnaire
DOI: 10.15468/dl.4zgvzm
title: Occurrence Download

description: A dataset containing 74815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psittacula krameri",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 74815 records from 1003 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063033-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/h6d-ea0-tbf
title: Aethionema saxatile subsp. saxatile

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/r2p-bhb-hk0
title: Linum alpinum Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr03883
title: Annual Survey of Jails: Jurisdiction-Level Data, 2001
title: Archival Version

description: This collection provides annual data on jail populations
 across the nation and examines the "spillover" on local jails
 resulting from the dramatic growth in federal and state prison
 populations. These data are used to track growth in the number of
 jails and their capacities nationally, changes in the demographics of
 the jail population (including sex, race, and adult or juvenile
 status), supervision status of persons held, prevalence of crowding
 issues, and a count of non-United States citizens within the jail
population.
description: Based on information from the 1999 Census of Jails, a
 sample of jail jurisdictions was selected for the 2001 survey. The
 sample included all public and private jails in 878 selected jail
 jurisdictions (in which there were a total of 948 reporting units) and
 47 regional jails. The sample selection was designed to yield a
 coefficient of variation of 1 percent of average daily population and
 one-day inmate population. Large jails and regional jails were in the
sample with certainty.
description: Datasets: 
DS1: Annual Survey of Jails: Jurisdiction-Level Data, 2001
description: All jail jurisdictions (i.e., counties, municipalities,
boroughs, etc.) identified through the 1999 Census of Jails.
description: The codebook and data collection instrument are
 provided by ICPSR as Portable Document Format (PDF) files. The PDF
 file format was developed by Adobe Systems Incorporated and can be
 accessed using PDF reader software, such as the Adobe Acrobat
 Reader. Information on how to obtain a copy of the Acrobat Reader is
provided on the ICPSR Web site.
DOI: 10.3535/csr-zqe-eyn
title: Linum alpinum Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1yf-vmj-khk
title: Linum alpinum Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9z1-gde-ksb
title: Aethionema saxatile subsp. saxatile

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jkb-5jy-v7v
title: Linum alpinum Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/avq-9j5-7az
title: Accara elegans (DC.) Landrum

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gyl-wgs-gyd
title: Campomanesia adamantium (Cambess.) O. Berg

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rwf-vb9-t77
title: Blepharocalyx salicifolius (Kunth) O. Berg

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2eb-rey-58z
title: Campomanesia adamantium (Cambess.) O. Berg

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vcl-v7y-z7x
title: Myrcia hypericoides Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4er-2rf-yv2
title: Blepharocalyx salicifolius (Kunth) O. Berg

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5zg-66x-p1a
title: Campomanesia guaviroba (DC.) Bertoni

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr37911
title: Uniform Crime Reporting Program Data: Offenses Known and Clearances by Arrest, United States, 2018
title: Archival Version

description: The UNIFORM CRIME REPORTING PROGRAM DATA: OFFENSES KNOWN AND CLEARANCES BY ARREST, 2018 dataset is a compilation of offenses reported to law enforcement agencies in the United States. Due to the vast number of categories of crime committed in the United States, the FBI has limited the type of crimes included in this compilation to those crimes which people are most likely to report to police and those crimes which occur frequently enough to be analyzed across time. Crimes included are criminal homicide, forcible rape, robbery, aggravated assault, burglary, larceny-theft, and motor vehicle theft. Much information about these crimes is provided in this dataset. The number of times an offense has been reported, the number of reported offenses that have been cleared by arrests, and the number of cleared offenses which involved offenders under the age of 18 are the major items of information collected.
description: Datasets: DS1: Uniform Crime Reporting Program Data: Offenses Known and Clearances by Arrest, United States, 2018
description: Index crimes reported by law enforcement agencies in the United States. Smallest Geographic Unit: US states, counties, and cities
description: self-enumerated questionnaireStarting with the year 1998, each of the four types of UCR summary data archived by ICPSR is released as a separate study under its own study number. Offenses Known and Clearances by Arrest data for the years 1975-1997 can be found in UNIFORM CRIME REPORTING PROGRAM DATA: [UNITED STATES]: 1975-1997 (ICPSR 9028).These studies are 'static data snapshots' of the data available on the FBI website via the Crime Data Explorer, which is continuously updated. For additional information on the Uniform Crime Reporting (UCR) Program, please visit the UCR website.
DOI: 10.3535/7j4-7jc-ra6
title: Campomanesia aurea O. Berg

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wzc-wbx-1e6
title: Campomanesia adamantium (Cambess.) O. Berg

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9rg-yd1-m7l
title: Blepharocalyx salicifolius (Kunth) O. Berg

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xgs-071-e8w
title: Campomanesia adamantium (Cambess.) O. Berg

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/eje-yjt-m55
title: Eugenia astringens Cambess.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6fa-3jf-y49
title: Bellucia pentamera Naudin

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xzt-qbd-jkt
title: Campomanesia adamantium (Cambess.) O. Berg

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/8nh8t63ygm.1
title: Tinder Experiment Do you like me

description: This repository contains an R script (`Regression_Repo.R`) that performs a detailed logistic regression analysis on user preferences in Tinder profiles, based on survey data.
DOI: 10.15468/dl.dpm7ax
title: Occurrence Download

description: A dataset containing 968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "Geometry POLYGON((127 37,129.5 37,129.5 38.8,127 38.8,127 37))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Continent derived from coordinates)",
 "OccurrenceStatus is Present",
 "TaxonKey is Apidae",
 "Year 2015-2024"
 ]
}

 The dataset includes 968 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007372-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1374438.10fu
title: SH1374438.10FU

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/sh1374439.10fu
title: SH1374439.10FU

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/sh1374443.10fu
title: SH1374443.10FU

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/sh1374446.10fu
title: SH1374446.10FU

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/sh1374451.10fu
title: SH1374451.10FU

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: 10.6084/m9.figshare.29554202
title: Classification of soil heavy metal fraction

description: soil heavy metal fraction
DOI: 10.6084/m9.figshare.29554202.v5
title: Classification of soil heavy metal fraction

description: soil heavy metal fraction
DOI: 10.15156/bio/sh1374452.10fu
title: SH1374452.10FU

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: 10.6084/m9.figshare.29554202.v4
title: Classification of soil heavy metal fraction

description: soil heavy metal fraction
DOI: 10.15156/bio/sh1374458.10fu
title: SH1374458.10FU

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/sh1374463.10fu
title: SH1374463.10FU

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: 10.15468/dl.3bxx5k
title: Occurrence Download

description: A dataset containing 482345 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Linaria vulgaris"
 ]
}

 The dataset includes 482345 records from 2190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005563-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc25xczg
title: CCDC 2023276: Experimental Crystal Structure Determination

description: Related Article: Jie Li, Shuxia Shang, Zhengguo Lin, Zishuo Yao, Ni Zhen, Zhen Li, Yingnan Chi, Changwen Hu|2020|Frontiers in Chemistry|8|598961|doi:10.3389/fchem.2020.598961
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25xd0j
title: CCDC 2023277: Experimental Crystal Structure Determination

description: Related Article: Jie Li, Shuxia Shang, Zhengguo Lin, Zishuo Yao, Ni Zhen, Zhen Li, Yingnan Chi, Changwen Hu|2020|Frontiers in Chemistry|8|598961|doi:10.3389/fchem.2020.598961
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25xd1k
title: CCDC 2023278: Experimental Crystal Structure Determination

description: Related Article: Jie Li, Shuxia Shang, Zhengguo Lin, Zishuo Yao, Ni Zhen, Zhen Li, Yingnan Chi, Changwen Hu|2020|Frontiers in Chemistry|8|598961|doi:10.3389/fchem.2020.598961
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25xd2l
title: CCDC 2023279: Experimental Crystal Structure Determination

description: Related Article: Jie Li, Shuxia Shang, Zhengguo Lin, Zishuo Yao, Ni Zhen, Zhen Li, Yingnan Chi, Changwen Hu|2020|Frontiers in Chemistry|8|598961|doi:10.3389/fchem.2020.598961
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25xd3m
title: CCDC 2023280: Experimental Crystal Structure Determination

description: Related Article: Jie Li, Shuxia Shang, Zhengguo Lin, Zishuo Yao, Ni Zhen, Zhen Li, Yingnan Chi, Changwen Hu|2020|Frontiers in Chemistry|8|598961|doi:10.3389/fchem.2020.598961
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.