cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/w8f-ss1-0n0
title: Artemisia annua L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7pc-814-7w5
title: Acacia acanthoclada F.Muell.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/k9x-588-a90
title: Melica uniflora Retz.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sye-pqy-yh6
title: Leersia oryzoides (L.) Sw.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ybj-5z1-g2m
title: Equisetum bogotense Kunth

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/b3m-xa5-jww
title: Artemisia annua L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jwb-t5j-550
title: Onosma dasytricha Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7jl-b8n-3e2
title: Onosma troodi Kotschy

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7je-p9e-r3z
title: Dicliptera squarrosa Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bqs-g32-khp
title: Artemisia annua L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vdh-tde-zwv
title: Dicliptera squarrosa Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7j1-ba6-rww
title: Dicliptera heterostegia Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/78f-w0g-cw5
title: Dicliptera squarrosa Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ayy-trh-sbm
title: Dicliptera squarrosa Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.ge43e3
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",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pelophylax perezi)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063039-250717081556266/datasets/export for details.
DOI: 10.3535/6lx-cng-997
title: Dicliptera squarrosa Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/czp-27h-rx1
title: Gymnadenia miniata (Crantz) Hayek

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4g1-mwb-6dv
title: Pera bicolor (Klotzsch) Müll.Arg.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/q84-sdy-vcr
title: Themeda triandra Forssk.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr35022
title: Uniform Crime Reporting Program Data: Property Stolen and Recovered, 2012
title: Archival Version

description: The UNIFORM CRIME REPORTING PROGRAM DATA: PROPERTY STOLEN AND RECOVERED,
2012 file (also known as the Supplement to Return A) is collected at the agency level and includes detailed monthly data on the nature of crime and the value and type of property stolen and recovered incident to each crime. The Return A Supplement requires that a value be established for property stolen and recovered in each Crime Index category except aggravated assault. It is designed to record the value of property stolen and recovered in the following eleven classifications: Currency/notes, Jewelry and Precious Metals, Clothing and Furs, Locally Stolen Motor Vehicles, Office Equipment, Televisions/Radios, Firearms, Household Goods, Consumable Goods, Livestock, and Miscellaneous. The determination of the value of property stolen is an obligation of the investigating officer, and such information is essential to assure the completeness of a law enforcement investigative report on stolen property. The data were originally assembled by the Federal Bureau of Investigation (FBI) from reports submitted by agencies participating in the UCR. The ICPSR file was processed from Return A Supplement files provided by the FBI.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data: Property Stolen and Recovered, 2012
description: Property crimes reported by law enforcement agencies in the United States.
description: self-enumerated questionnaireStarting with the year 1998, each of the four parts of the UCR data collection archived by ICPSR is released as a separate study under its own study number. The Property Stolen and Recovered data for the years 1975-1997 can be found in UNIFORM CRIME REPORTING PROGRAM DATA: 1975-1997 (ICPSR 9028).
DOI: 10.3535/j4j-w5g-gjy
title: Nassella laevissima (Phil.) M.E.Barkworth

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pfg-pj3-071
title: Leptochloa crinita (Lag.) P.M.Peterson & N.Snow

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr35086
title: Uniform Crime Reporting Program Data: Hate Crime Data, 2012 [Record-Type Files]
title: Archival Version

description: In response to a growing concern about hate crimes, the
United States Congress enacted the Hate Crime Statistics Act of
1990. The Act requires the attorney general to establish guidelines
and collect, as part of the Uniform Crime Reporting (UCR) Program,
data "about crimes that manifest evidence of prejudice based on race,
religion, sexual orientation, or ethnicity, including where
appropriate the crimes of murder and non-negligent manslaughter,
forcible rape, aggravated assault, simple assault, intimidation,
arson, and destruction, damage or vandalism of property." Hate crime
data collection was required by the Act to begin in calendar year 1990
and to continue for four successive years. In September 1994, the
Violent Crime Control and Law Enforcement Act amended the Hate Crime
Statistics Act to add disabilities, both physical and mental, as
factors that could be considered a basis for hate crimes. Although the
Act originally mandated data collection for five years, the Church
Arson Prevention Act of 1996 amended the collection duration "for each
calendar year," making hate crime statistics a permanent addition to
the UCR program. As with the other UCR data, law enforcement agencies
contribute reports either directly or through their state reporting
programs. Information contained in the data includes number of victims
and offenders involved in each hate crime incident, type of victims,
bias motivation, offense type, and location type.
description: Datasets: 
DS0: Study-Level Files
DS1: Batch Header File
DS2: Incident Record File
description: Hate crime incidents reported by law enforcement agencies
in the United States. Smallest Geographic Unit: state, county, jurisdiction
description: computer-assisted self interview (CASI); self-enumerated questionnaireThe original hierarchical file has been split into two files: a Batch Header File and an Incident Record File. The Batch Header File contains a record for each law enforcement agency whether or not they reported an incident. The Batch Header File variables are merged into the Incident Record File for those agencies that reported an incident.Each victim-type variable has been split into eight separate flag variables to record each victim type. Previously, the variables were eight-character strings that contained the first letter of each victim type in any order.
DOI: 10.3535/2qa-h4v-2en
title: Tricholaena teneriffae (L.f.) Link

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8vb-vg1-cq9
title: Acantholimon tenuiflorum Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/p61-5wh-5p6
title: Themeda triandra Forssk.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr34580
title: Uniform Crime Reporting Program Data: Arrests by Age, Sex, and Race, United States, 2011
title: Archival Version

description: These data provide information on the number of arrests reported to the Federal Bureau of Investigation's (FBI) Uniform Crime Reporting (UCR) Program each month by police agencies in the United States. Although not as well known as the ''Crimes Known to the Police'' data drawn from the Uniform Crime Report's Return A form, the arrest reports by age, sex, and race provide valuable data on 43 offenses including violent, drug, gambling, and larceny crimes. The data received by ICPSR were structured as a hierarchical file containing (per reporting police agency) an agency header record, and 1 to 12 monthly header reports, and 1 to 43 detail offense records containing the counts of arrests by age, sex, and race for a particular offense. ICPSR restructured the original data to a rectangular format.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data: Arrests by Age, Sex, and Race, United States, 2011
description: Arrests reported by law enforcement agencies to the Federal Bureau of Investigation's Uniform Crime Reporting program. Smallest Geographic Unit: states, counties, cities
description: mail questionnaire; on-site questionnaire
DOI: 10.3535/eyt-y98-9av
title: Tricholaena teneriffae (L.f.) Link

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/v22-kdx-sa9
title: Equisetum ramosissimum var. huegelii (Milde) Christenh. & Husby

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xa3-xts-cbb
title: Baeckea brevifolia (Rudge) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/zys-2gr-cfa
title: Athenaea pogogena (Moric.) Sendtn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr36115
title: Uniform Crime Reporting Program Data: Arrests by Age, Sex, and Race, United States, 2013
title: Archival Version

description: These data provide information on the number of arrests reported to the Federal Bureau of Investigation's (FBI) Uniform Crime Reporting (UCR) Program each month by police agencies in the United States. Although not as well known as the "Crimes Known to the Police" data drawn from the Uniform Crime Report's Return A form, the arrest reports by age, sex, and race provide valuable data on 43 offenses including violent, drug, gambling, and larceny crimes. The data received by ICPSR were structured as a hierarchical file containing (per reporting police agency) an agency header record, and 1 to 12 monthly header reports, and 1 to 43 detail offense records containing the counts of arrests by age, sex, and race for a particular offense. ICPSR restructured the original data to a rectangular format.
description: The data for the Uniform Crime Reports are submitted voluntarily by city, county, and state law enforcement agencies. Some agencies receive forms directly from the FBI and return them directly to the FBI. Many others receive forms from state collecting programs and return the reports to those programs. The state programs, in turn, forward the reports to the FBI. Reports are sent out and collected on a monthly basis.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data: Arrests by Age, Sex, and Race, United States, 2013
description: Arrests reported by law enforcement agencies to the Federal Bureau of Investigation's Uniform Crime Reporting program. Smallest Geographic Unit: states, counties, cities
description: mail questionnaire; on-site questionnaire
DOI: 10.3535/e3h-hjt-bga
title: Aristida divulsa Andersson

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yxf-fn2-lxw
title: Moussonia deppeana (Schltdl. & Cham.) Hanst.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr33529
title: Uniform Crime Reporting Program Data: Property Stolen and Recovered, 2010
title: Archival Version

description: The UNIFORM CRIME REPORTING PROGRAM DATA: PROPERTY STOLEN AND RECOVERED,
2010 file (also known as the Supplement to Return A) is collected at the agency level and includes detailed monthly data on the nature of crime and the value and type of property stolen and recovered incident to each crime. The Return A Supplement requires that a value be established for property stolen and recovered in each Crime Index category except aggravated assault. It is designed to record the value of property stolen and recovered in the following eleven classifications: Currency/notes, Jewelry and Precious Metals, Clothing and Furs, Locally Stolen Motor Vehicles, Office Equipment, Televisions/Radios, Firearms, Household Goods, Consumable Goods, Livestock, and Miscellaneous. The determination of the value of property stolen is an obligation of the investigating officer, and such information is essential to assure the completeness of a law enforcement investigative report on stolen property. The data were originally assembled by the Federal Bureau of Investigation (FBI) from reports submitted by agencies participating in the UCR. The ICPSR file was processed from Return A Supplement files provided by the FBI.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data: Property Stolen and Recovered, 2010
description: Property crimes reported by law enforcement agencies in the United States.
description: self-enumerated questionnaireStarting with the year 1998, each of the four parts of the UCR data collection archived by ICPSR is released as a separate study under its own study number. The Property Stolen and Recovered data for the years 1975-1997 can be found in UNIFORM CRIME REPORTING PROGRAM DATA: 1975-1997 (ICPSR 9028).
DOI: 10.15156/bio/sh1374306.10fu
title: SH1374306.10FU

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/sh1374309.10fu
title: SH1374309.10FU

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/sh1374311.10fu
title: SH1374311.10FU

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.42zsyh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"BRA.12.83_2","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005608-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh1374314.10fu
title: SH1374314.10FU

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/sh1374318.10fu
title: SH1374318.10FU

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/sh1374319.10fu
title: SH1374319.10FU

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/sh1374321.10fu
title: SH1374321.10FU

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: 10.3535/1w3-03x-ev4
title: †Lepidocyclina Gümbel, 1870

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v6x-dbw-fxc
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/672-5np-950
title: †Hippodiplosia perforata Canu & Lecointre, 1930

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6ev-etc-ywm
title: Cupuladria canariensis (Busk, 1859)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.