cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1401389.10fu
title: SH1401389.10FU

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/sh1401392.10fu
title: SH1401392.10FU

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/sh1401393.10fu
title: SH1401393.10FU

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/sh1401395.10fu
title: SH1401395.10FU

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/sh1401400.10fu
title: SH1401400.10FU

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/sh1401402.10fu
title: SH1401402.10FU

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/sh1401403.10fu
title: SH1401403.10FU

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/sh1401404.10fu
title: SH1401404.10FU

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/sh1401405.10fu
title: SH1401405.10FU

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.tfnr3j
title: Occurrence Download

description: A dataset containing 8946 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Sweden",
 "DatasetKey is one of (NABU|naturgucker, Southern African Bird Atlas Project 2, Macro-moth distribution records for the UK from Butterfly Conservation, up to 2019, Norwegian Species Observation Service, DOF/BirdLife Denmark - Observations from DOFbasen, Observation.org, Nature data from around the World, INPN - Données flore des CBN agrégées par la FCBN, iNaturalist Research-grade Observations, EOD – eBird Observation Dataset)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 8946 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003600-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.er9af3
title: Occurrence Download

description: A dataset containing 470515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is Parus major",
 "Year 1990-2020"
 ]
}

 The dataset includes 470515 records from 586 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009817-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13395322
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.3gvvj9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tinamiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((20 80,30 80,30 90,20 90,20 80))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024480-251009101135966/datasets/export for details.
DOI: 10.6084/m9.figshare.30165967
title: Source data for Williams et al, 2025. Pre-print: https://doi.org/10.1101/2025.08.20.671259.

description: This is the source data for a recent pre-print (https://doi.org/10.1101/2025.08.20.671259). The manuscript has now been accepted in the American Journal of Physiology (Cell Physiology).
DOI: 10.6084/m9.figshare.30165967.v1
title: Source data for Williams et al, 2025. Pre-print: https://doi.org/10.1101/2025.08.20.671259.

description: This is the source data for a recent pre-print (https://doi.org/10.1101/2025.08.20.671259). The manuscript has now been accepted in the American Journal of Physiology (Cell Physiology).
DOI: 10.5255/ukda-sn-858085
title: Trade Union Use of Digital Communications Technology: Interview data, 2023-2024

description: This research was designed to investigate the ways in which trade unions use digital communications technology to communicate with and amongst their members, and at how digitally-enabled communications fit in with wider campaigning and organising practices, including industrial action such as strikes. The use of digital communications technologies in established and mainstream trade union settings has been (and, to date, continues to be) significantly under-researched. The data in this collection comprises transcripts of a series of interviews from a case study of the National Education Union (NEU). There are two groups of interview transcripts. One comes from individual interviews with five full-time officers (FTOs) and staff at NEU head office (HQ), who work in and/or have responsibility for national digital communications and associated data-analysis and data-management functions. The second group comes from group interviews (GIs) carried out with seven groups of local union reps and branch officers from different parts of England. We focussed on England because the management of schools is now different in each of the four devolved nations of the UK, and England has the most fragmented system, which provides the greatest challenges to the NEU's traditional organising model. Sites for GIs were selected for geographical spread (three in London, one in the North of England and one in the South), plus we selected for different school governance models; specifically, we wanted to interview reps from Multi-Academy Trusts, a relatively new type of school that presents novel challenges for teaching unions. The selection of sites for rep interviews was also significantly influenced by access considerations, being wholly dependent on arrangements made by NEU FTOs and branch officers, as well as the willingness of reps to give up their time during a period of intense union activity – notably, a national pay campaign, including strikes, which followed a period of significant stress and workplace conflict over school closures and related issues during the COVID-19 pandemic – in addition to the usual heavy workloads associated with classroom teaching. As a result, the GIs carried out were varied in terms of the number and composition of reps present (varying between two and 13 participants), and were always pressed for time (which significantly restricted the gathering of demographic data). The data is therefore somewhat patchy and unrepresentative, but nevertheless generated rich insights and achieved a reasonable degree of saturation on important issues. Key findings include overlapping but sometimes different approaches between NEU HQ and local reps, as well as sophisticated understandings by reps of the use of different digital communications technologies for different purposes, the relationship between technological and in-person communications, and the place of each in wider union campaigning and activism.
DOI: 10.3535/p71-lbj-aft
title: Eriophorum vaginatum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/cnl-ylc-q80
title: Daphne oleoides Schreb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vza-w4p-gc6
title: Pilosella verruculata subsp. verruculata

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ad0-7vn-kky
title: Polygonatum glaberrimum K.Koch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xvs-kd1-h86
title: Veronica spicata L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ev1-vdd-1e2
title: Torminalis glaberrima (Gand.) Sennikov & Kurtto

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/l54-v49-mvy
title: Allium pseudoflavum Vved.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5zd-3ln-9a3
title: Allium woronowii Miscz. ex Grossh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gls-myc-dex
title: Daphne glomerata Lam.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5s2-hty-2r9
title: Tilia cordata Mill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.daf8q3
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 (Incilius periglenes)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075662-250717081556266/datasets/export for details.
DOI: 10.3535/q9j-8dh-1qr
title: Hieracium cincinnatum Fr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yfh-0mx-chc
title: Thymus armeniacus Klokov & Des.-Shost.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/krt-smm-eqk
title: Diarthron vesiculosum (Fisch. & C. A. Mey.) C. A. Mey.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lb0-vdb-qkm
title: Carex melanostachya M.Bieb. ex Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/240-7rd-62a
title: Veronica hederifolia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e0s-wpm-zyc
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3he-jaa-vls
title: Teucrium polium L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9cd-2qp-a1y
title: Teucrium polium L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ts0-khg-hlp
title: Teucrium chamaedrys L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.46xmxe
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 (Incilius periglenes)",
 "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/0075663-250717081556266/datasets/export for details.
DOI: 10.3535/7zb-65e-9d4
title: Carex halleriana Asso

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/87d-czv-zjw
title: Pyrus calleryana Decne.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/78t-tx9-rsr
title: Alchemilla inconcinna Buser

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ab4-ek5-2qw
title: Abies concolor (Gordon) Lindl. ex. Hildebr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/c1v-891-vkr
title: Alchemilla straminea Buser

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hw6-1vz-x85
title: Polygonum marinense T. R. Mert. & P. H. Raven

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.5r594b
title: Occurrence Download

description: A dataset containing 3 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 (Incilius periglenes)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075664-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/awc-wvc-4l2
title: Senega scoparioides (Chodat) J. F. B. Pastore & J. R. Abbott

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2ad-frm-892
title: Pseudoheterocaryum szovitsianum (Fisch. & C. A. Mey.) Kaz. Osaloo & Saadati

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3p8-wef-qnx
title: Alchemilla micans Buser

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hh9-qqb-yl5
title: Fumaria asepala Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tne-aga-fwa
title: Malva multiflora (Cav.) Soldano, Banfi & Galasso

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