cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1374171.10fu
title: SH1374171.10FU

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/sh1374172.10fu
title: SH1374172.10FU

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/sh1374174.10fu
title: SH1374174.10FU

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/sh1374176.10fu
title: SH1374176.10FU

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/sh1374178.10fu
title: SH1374178.10FU

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/sh1374179.10fu
title: SH1374179.10FU

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: 10.5519/qd.9b1e120p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7 records)
DOI: 10.15468/dl.rw548a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Leptochloa uniflora"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023888-260208012135463/datasets/export for details.
DOI: 10.3886/icpsr34582
title: Uniform Crime Reporting Program Data: County-Level Detailed Arrest and Offense Data, United States, 2011
title: Archival Version

description: This data collection contains county-level counts of arrests and offenses for Part I offenses (murder, rape, robbery, aggravated assault, burglary, larceny, auto theft, and arson) and counts of arrests for Part II offenses (forgery, fraud, embezzlement, vandalism, weapons violations, sex offenses, drug and alcohol abuse violations, gambling, vagrancy, curfew violations, and runaways).
description: Datasets: DS0: Study-Level Files DS1: Arrests, All Ages DS2: Arrests, Adult DS3: Arrests, Juveniles DS4: Crimes Reported DS5: Allocated Statewide Data for Arrests, All Ages DS6: Allocated Statewide Data for Arrests, Adults DS7: Allocated Statewide Data for Arrests, Juveniles DS8: Allocated Statewide Data for Crimes Reported
description: County law enforcement agencies in the United States. Smallest Geographic Unit: county
description: self-enumerated questionnaireTwo major changes to the Uniform Crime Reports (UCR) county-level files were implemented beginning with the 1994 data. A new imputation algorithm to adjust for incomplete reporting by individual law enforcement jurisdictions was adopted. Within each county, data from agencies reporting 3 to 11 months of information were weighted to yield 12-month equivalents. Data for agencies reporting less than three months of data were replaced with data estimated by rates calculated from agencies reporting 12 months of data located in the agency's geographic stratum within its state. Secondly, a new Coverage Indicator was created to provide users with a diagnostic measure of aggregated data quality in a particular county. Data from agencies reporting only statewide figures were allocated to the counties in the state in proportion to each county's share of the state population.In the arrest files (Parts 1-3 and 5-7), data were estimated for agencies reporting zero months based on the procedures mentioned above. However, due to the structure of the data received from the Federal Bureau of Investigation (FBI), estimations could not be produced for agencies reporting zero months in the crimes reported files (Parts 4 and 8). Offense data for agencies reporting one or two months are estimated using the above procedures. Users are encouraged to refer to the codebook for more information.No arrest data were provided for Alabama, Florida, or Illinois. Limited crimes reported data were available for Alaska.UCR program staff at the Federal Bureau of Investigation (FBI) were consulted in developing the new adjustment procedures. However, these UCR county-level files are not official FBI UCR releases and are being provided for research purposes only. Users with questions regarding these UCR county-level data files can contact the National Archive of Criminal Justice Data at ICPSR.
DOI: 10.3535/698-4xn-1e8
title: Thinopyrum elongatum (Host) D.R.Dewey

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dxk-b26-qjg
title: Erica tetrathecoides Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr34586
title: Uniform Crime Reporting Program Data: Offenses Known and Clearances by Arrest, 2011
title: Archival Version

description: The UNIFORM CRIME REPORTING PROGRAM DATA: OFFENSES KNOWN AND CLEARANCES BY ARREST, 2011 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, 2011
description: Index crimes reported by law enforcement agencies in the
United States.
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).
DOI: 10.3535/nbm-322-874
title: Erica trichophora Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/by5-1t8-1wr
title: Elymus longearistatus (Boiss.) Tzvelev

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/cnr-x8q-lf2
title: Moorochloa eruciformis (Sm.) Veldkamp

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr30766
title: Uniform Crime Reporting Program Data: Offenses Known and Clearances by Arrest, 2009
title: Archival Version

description: Since 1930, the Federal Bureau of Investigation has
compiled the Uniform Crime Reports (UCR) to serve as periodic
nationwide assessments of reported crimes not available elsewhere in
the criminal justice system. Law enforcement agencies contribute
reports either directly or through their state reporting programs.
Each year, summary data are reported in four types of files: (1)
Offenses Known and Clearances by Arrest, (2) Property Stolen and
Recovered, (3) Supplementary Homicide Reports (SHR), and (4) Police
Employee (LEOKA) Data. The Offenses Known and Clearances by Arrest
data files include monthly data on the number of Crime Index offenses
reported and the number of offenses cleared by arrest or other means.
The counts include all reports of Index crimes (excluding arson)
received from victims, officers who discovered infractions, or other
sources.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data: Offenses Known and Clearances by Arrest, 2009
description: Index crimes reported by law enforcement agencies in the
United States. Smallest Geographic Unit: states, counties, 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).
DOI: 10.3535/fwd-cae-myr
title: Pseudoroegneria gmelinii (Trin. ex Schrad.) Sennikov

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zdm-d2p-pf7
title: Elymus longearistatus (Boiss.) Tzvelev

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kqg-5t2-6aw
title: Elymus repens (L.) Gould

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mpm-56q-2as
title: Erica umbelliflora Klotzsch ex Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dd3-wq0-qhp
title: Elymus × apiculatus (F.A.Tscherning) Barina

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y12-d8l-3ld
title: Elymus longearistatus (Boiss.) Tzvelev

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7hs-g1t-863
title: Lasiacis ligulata Hitchc. & Chase

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rft-ptj-0f6
title: Elymus pungens (Pers.) Melderis

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/d4x-l14-c8r
title: Urochloa mutica (Forssk.) T.Q.Nguyen

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/v4n-l53-m5r
title: Eriochloa barbatus (Trin.) S.Yadav & M.R.Almeida

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nv5-6td-79p
title: Eragrostis japonica (Thunb.) Trin.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr35339
title: Monitoring of Federal Criminal Sentences, [United States], 2010-2011
title: Archival Version

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, 2010, and September 30, 2011, 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, 2010, and September 30, 2011, 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: 10.3535/9er-mq7-xek
title: Erica gnaphaloides Thunb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vzb-6fk-js0
title: Erica crassisepala Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pjg-lcn-rqz
title: Panicum auritum J.Presl ex Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xbk-7xm-qwf
title: Eragrostis japonica (Thunb.) Trin.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/g71-9pm-2g7
title: Pteris L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zq1-day-j93
title: Erica cristata Dulfer

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.9wvzpn
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gymnarchus niloticus)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 180 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063007-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/149-f8y-glj
title: Elymus repens (L.) Gould

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8fn-7k1-qbr
title: Erica uberiflora E. G. H. Oliv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ttg-a7e-c09
title: Elymus repens (L.) Gould

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/67s-jq0-er0
title: Elymus repens (L.) Gould

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fwz-lpf-heg
title: Elymus repens (L.) Gould

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hxd-ym1-jbx
title: Erica sitiens Klotzsch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ksq-smn-m14
title: Erica axillaris Thunb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2ba-qlr-cgy
title: Erica spectabilis Klotzsch ex Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7z3-azc-110
title: Lasiacis ligulata Hitchc. & Chase

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0fx-q6s-02w
title: Erica urceolata (Klotzsch) E. G. H. Oliv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dc9-ev1-3v6
title: Tricholepis amplexicaulis C. B. Clarke

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.pkpzux
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psittacula krameri",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063008-250717081556266/datasets/export for details.
DOI: 10.3535/lcc-qrh-krj
title: Erica serrata Thunb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/px7-bhq-m98
title: Lasiacis divaricata (L.) Hitchc.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ccm-pg4-6p3
title: Erica serrata Thunb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vj4-fm6-b0v
title: Elymus repens (L.) Gould

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2dv-meq-ffd
title: Erica pilosiflora E. G. H. Oliv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/prh-qb9-fn9
title: Crataegus azarolus var. pontica (Koch) K. I. Chr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x9b-jl2-ppt
title: Pteris L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr36122
title: Uniform Crime Reporting Program Data: Offenses Known and Clearances by Arrest, 2013
title: Archival Version

description: The UNIFORM CRIME REPORTING PROGRAM DATA: OFFENSES KNOWN AND CLEARANCES BY ARREST, 2013 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, 2013
description: Index crimes reported by law enforcement agencies in the
United States. Smallest Geographic Unit: US states, counties, 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).
DOI: 10.3535/1js-n43-q9q
title: Erica senilis Klotzsch ex Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.