cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr06387
title: Uniform Crime Reports [United States]: Supplementary Homicide Reports, 1976-1992
title: Archival Version

description: These data provide incident-level information on criminal homicides including date, location, circumstances, and method of offense, as well as demographic characteristics of victims and perpetrators and the relationship between the two. For this dataset, the original Uniform Crime Reports data were completely restructured into a nested, or hierarchical, form with repeating records. Specifically, the file contains one record for each agency per year (record type "A"), nested within which is one record per incident (record type "I"). Victim records (record type "V") are in turn nested within incident records, and offender data are repeated for all offenders on each victim record. Part 3, ORI List, contains Originating Agency Identifier (ORI) codes used by the FBI and the corresponding agency name.
description: Datasets: DS0: Study-Level Files DS1: Data File DS2: SAS Data Definition Statements DS3: ORI List
description: Homicides in the United States from January 1976 through December 1992.
description: The data were provided monthly to the Federal Bureau of Investigation (FBI) by local law enforcement agencies participating in the FBI's Uniform Crime Reporting Program. These data were restructured, reformatted, and cleaned at the College of Criminal Justice, Northeastern University, Boston, Massachusetts.
DOI: 10.3535/jvy-bkl-0q5
title: Marrubium parviflorum Fisch. & C.A.Mey.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nme-9sb-p43
title: Chenopodium suecicum Murr

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e25-2nx-qm6
title: Linum strictum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jm8-c0m-85f
title: Thymus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr06399
title: Homicides in Chicago, 1965-1995
title: Archival Version

description: These datasets contain information on every homicide in the
 murder analysis files of the Chicago Police Department for the years
 1965-1995. For the victim-level file, Part 1, data are provided on the
 relationship of victim to offender, whether the victim or offender had
 previously committed a violent or nonviolent offense, time of
 occurrence and place of homicide, type of weapon used, cause and
 motivation for the incident, whether the incident involved drugs,
 alcohol, gangs, child abuse, or a domestic relationship, if or how the
 offender was identified, and information on the death of the
 offender(s). Demographic variables such as the age, sex, and race of
 each victim and offender are also provided. The victim-level file
 contains one record for each victim. Information for up to five
 offenders is included on each victim record. The same offender
 information is duplicated depending on the number of victims. For
 example, if a sole offender is responsible for five victims, the file
 contains five victim records with the offender's information repeated
 on each record. Part 2, Offender-Level Data, is provided to allow the
 creation of offender rates and risk analysis that could not be
 accurately prepared using the victim-level file due to the repeating
 of the offender information on each victim record. Offender variables
 were reorganized during the creation of the offender file so that each
 known offender is associated with a single record. A majority of the
 variables in the offender-level file are replicas of variables in the
 victim-level file. The offender records contain demographic
 information about the offender, demographic and relationship
 information about the offender's first victim (or sole victim if there
 was only one), and information about the homicide incident.
 Information pertaining to the homicide incident such as location,
 weapon, or drug use are the same as in the victim-level file. In cases
 where the offender data were completely missing in the victim-level
 data, no offender records were generated in the offender-level
 file. The offender-level data do not contain information about the
 victims in these cases. Geographic variables in both files include the
census tract, community area, police district, and police area.
description: Datasets: 
DS0: Study-Level Files
DS1: Victim-Level Data
DS2: Offender-Level Data
description: All homicides in the murder analysis files of the Chicago
Police Department from 1965 through 1995. Smallest Geographic Unit: [city, census tract, police beat, police district, community area]
description: HOMICIDES IN CHICAGO, 1965-1981 (ICPSR 8941) is no
 longer available. Users interested in the data from ICPSR 8941 should
obtain ICPSR 6399 instead.
DOI: 10.3535/78h-4nh-zes
title: Agrostis stolonifera L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/k5g-krc-jc5
title: Chenopodiastrum murale (L.) S. Fuentes, Uotila & Borsch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/961-krp-cde
title: Chenopodium suecicum Murr

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/c23-svj-lan
title: Legousia speculum-veneris (L.) Chaix

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/954-kfj-bhy
title: Chenopodiastrum murale (L.) S. Fuentes, Uotila & Borsch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qnd-pvd-wwp
title: Chenopodiastrum hybridum (L.) S. Fuentes, Uotila & Borsch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5j6-2y6-y9z
title: Cardamine hirsuta L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sen-xsk-6xa
title: Chenopodium album L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/v7g-41t-q16
title: Eleutherospermum cicutarium (M. Bieb.) Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr09335
title: Uniform Crime Reports: County Level Detailed Arrest and Offense Data, 1988
title: Archival Version

description: The files in this collection contain counts of arrests and
 offenses for Part I and Part II offenses: murder, rape, robbery,
 assault, burglary, larceny, auto theft, arson, forgery, fraud,
 embezzlement, vandalism, weapons violations, sex offenses, drug and
 alcohol abuse violations, gambling, vagrancy, curfew violations, and
runaways. County populations are also reported.
description: Datasets: 
DS0: Study-Level Files
DS1: Arrests, All Ages, 1988
DS2: Arrests, Adults, 1988
DS3: Arrests, Juveniles, 1988
DS4: Crimes Reported, 1988
description: County law enforcement agencies in the United States.
description: Data have been aggregated to the county level. Within
 each county, data for agencies reporting 6 to 11 months of information
 were weighted to produce 12-month equivalents. Data from agencies
 reporting only statewide figures were allocated to counties
proportionate to their share of the state population.
DOI: 10.15468/dl.j3qfsn
title: Occurrence Download

description: A dataset containing 137963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pachyramphus aglaiae)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 137963 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062838-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/7fj-6qv-0r7
title: Chenopodium album L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9kp-qpj-4wy
title: Centaurium pulchellum (Sw.) Druce

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/g3q-nen-jvw
title: Galium elongatum C.Presl

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/r0j-jgn-hjy
title: Chenopodium album var. missouriense (Aellen) Bassett & Crompton

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/l54-qy3-lre
title: Atriplex patens (Litv.) Iljin

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/en1-j2l-zms
title: Lagochilus Bunge ex Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/z5f-2xq-mfn
title: Tetraena simplex (L.) Beier & Thulin

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ek9-sf5-mt1
title: Taraxacum Weber

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gm7-8t9-pfn
title: Echium vulgare L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/czj-m78-s46
title: Helianthemum nummularium subsp. obscurum (Pers. ex Wahlenb.) Holub

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/p50-wtx-nb0
title: Chenopodium album L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.7nn8ac
title: Occurrence Download

description: A dataset containing 576 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alestes macrophthalmus)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 576 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062878-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/d0l-9g1-nps
title: Bromus erectus Huds.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/66l-jkr-js9
title: Festuca Tourn. ex L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y1s-l59-ra9
title: Senna italica Mill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5281/zenodo.16541943
title: Political Socialization Before and After Migration: How Origin-Country Political Culture Shapes Immigrant Voting in Europe
DOI: 10.5281/zenodo.16541944
title: Political Socialization Before and After Migration: How Origin-Country Political Culture Shapes Immigrant Voting in Europe
DOI: 10.3535/h19-hlf-wms
title: Vicia sativa subsp. nigra Ehrh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/htr-aq1-w2p
title: Chenopodium album L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.cn4bqq
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leporinus jamesi)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 34 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062879-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/dkl-n21-lfw
title: Chenopodium album L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/t59-2t7-8v8
title: Potentilla sterilis (L.) Garcke

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jxm-2pl-h3l
title: Dysphania multifida (L.) Mosyakin & Clemants

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qne-7g6-tx3
title: Chenopodium suecicum Murr

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15156/bio/sh1371954.10fu
title: SH1371954.10FU

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/sh1371955.10fu
title: SH1371955.10FU

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/sh1371958.10fu
title: SH1371958.10FU

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: 10.57760/sciencedb.ecodb.00251
title: A dataset of carbon and water fluxes of the forest ecosystem at Daxinganling Station from 2010 to 2016
title: 2010-2016年大兴安岭森林生态系统碳水通量观测数据集

description: This dataset is a standardized dataset of ecosystem carbon and water fluxes and key meteorological elements developed based on the ChinaFLUX data processing standards. The raw observation data were collected at the Inner Mongolia Greater Khingan Mountains Forest Ecosystem National Observation and Research Station from 2010 to 2016. In this dataset, the data for each year consists of 8 Excel data files, divided into two categories: LITE, which includes major fluxes and meteorological variables, and ALL, which adds data quality and interpolation indicators on the basis of LITE. Each category has four data files, including data files at four scales: half-hour (HH), day (DD), month (MM), and year (YY).
description: This dataset is a standardized dataset of ecosystem carbon and water fluxes and key meteorological elements developed based on the ChinaFLUX data processing standards. The raw observation data were collected at the Inner Mongolia Greater Khingan Mountains Forest Ecosystem National Observation and Research Station from 2010 to 2016. In this dataset, the data for each year consists of 8 Excel data files, divided into two categories: LITE, which includes major fluxes and meteorological variables, and ALL, which adds data quality and interpolation indicators on the basis of LITE. Each category has four data files, including data files at four scales: half-hour (HH), day (DD), month (MM), and year (YY).
DOI: 10.15156/bio/sh1371961.10fu
title: SH1371961.10FU

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/sh1371963.10fu
title: SH1371963.10FU

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/sh1371964.10fu
title: SH1371964.10FU

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/sh1371967.10fu
title: SH1371967.10FU

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/sh1371968.10fu
title: SH1371968.10FU

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.