cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29143595
title: Final SWOT analysis 24.05.2025

description: The SWOT analysis of OCOP and rural tourism integration using secondary data from 50 articles across 29 provinces and cities in Vietnam
DOI: 10.34740/kaggle/dsv/11930790
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.34740/kaggle/dsv/11930759
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.15468/dl.4rtrp3
title: Occurrence Download

description: A dataset containing 1572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Caracal caracal (Schreber, 1776)"
 ]
}

 The dataset includes 1572 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016439-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.suu8k7
title: Occurrence Download

description: A dataset containing 361805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pyrops clavatus (Westwood, 1839), Pyrops itoi (Satô & Nagai, 1994), Pyrops karenius (Distant, 1891), Pyrops viridirostris (Westwood, 1848), Pyrops ducalis (Stål, 1863), Rhipiphorothrips cruentatus Hood, 1919, Cornegenapsylla sinica Yang & Li, 1982, Ceroplastes rubens Maskell, 1893, Acytolepis puspa gisca (Fruhstorfer, 1910), Tessaratoma papillosa (Drury, 1770), Polistes rothneyi Cameron, 1900, Vespa ducalis Smith, 1852, Trichogramma taiwanense Chan & Chou, 2000, Norbanus scabriculus (Nees, 1834), Penthicodes quadrimaculata Lallemand, 1963, Platycheirus stegnus (Say, 1829), Cucullia terensis Felder, 1874, Xylophanes tersa Linnaeus, 1771, Euzopherodes vapidella Mann, 1857, Adoxophyes melia Clarke, 1976, Tagiades trebellius (Hopffer, 1874), Tagiades litigiosa ultra Evans, 1932, Tagiades toba de Nicéville, 1896, Lilioceris cheni Gressitt & Kimoto, 1961, Daimio tethys (Ménétriés, 1857), Alectura lathami J.E.Gray, 1831, Leidyula floridana (Leidy, 1851), Acrolepia vesperella Zeller, 1850, Platytetranychus libocedri (McGregor, 1936), Pammene juniperana (Millière, 1858), Thera cognata (Thunberg, 1792), Coleotechnites juniperella (Kearfott, 1903), Dichomeris juniperella (Linnaeus, 1761), Thera otisi (Dyar, 1904), Bucculatrix inusitata Braun, 1963, Cydia interscindana (Möschler, 1866), Argyresthia annettella Busck, 1907, Coleotechnites gibsonella (Kearfott, 1907), Argyresthia praecocella Zeller, 1839, Dendrolimus pini (Linnaeus, 1767), Eupithecia pusillata (Denis & Schiffermüller), 1775, Issus coleoptratus (Fabricius, 1781), Anogmoides fumipennis Askew, 1970, Mesopolobus aspilus (Walker, 1835), Dicladocerus euryalus (Haliday, 1844), Leptomastidea bifasciata (Mayr, 1876), Achrysocharoides nigricoxae (Delucchi, 1954), Megastigmus bipunctatus (Swederus, 1795), Torymus juniperi (Linnaeus, 1758), Cryptosporium tami Grove)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 361805 records from 766 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016438-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1373909.10fu
title: SH1373909.10FU

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/sh1373911.10fu
title: SH1373911.10FU

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/sh1373912.10fu
title: SH1373912.10FU

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.j3sd3q
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.12.81_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/0005600-260108223611665/datasets/export for details.
DOI: 10.15156/bio/sh1373914.10fu
title: SH1373914.10FU

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/sh1373918.10fu
title: SH1373918.10FU

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/sh1373920.10fu
title: SH1373920.10FU

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/sh1373921.10fu
title: SH1373921.10FU

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/sh1373922.10fu
title: SH1373922.10FU

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.y3am2k
title: Occurrence Download

description: A dataset containing 2681 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données des collections du MNHN - Données de la collection d'herbiers de Nouvelle-Calédonie du MNHN"
 ]
}

 The dataset includes 2681 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002344-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ba3v4v
title: Occurrence Download

description: A dataset containing 16528159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Notiophilus biguttatus (Fabricius, 1779), Kali gobicolum (Iljin) Brullo & Hrusa, Sterna hirundo Linnaeus, 1758, Plegadis chihi (Vieillot, 1817), Sesuvium humifusum (Turpin) Bohley & G.Kadereit, Sporobolus foliosus (Trin.) P.M.Peterson & Saarela, Arthroceras subterminale (Parish) Piirainen & G.Kadereit, Rallus longirostris Boddaert, 1783, Artemisia tridentata (Nutt.) W.A.Weber, Phalacrocorax brasilianus (Gmelin, 1789), Baccharis plummerae (A.Gray) F.H.Hellw., Piratula uliginosa (Thorell, 1856), Agelaius phoeniceus (Linnaeus, 1766))",
 "BasisOfRecord is one of (Human Observation, Literature Occurrence, Living Specimen, Observation, Specimen, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2021",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 16528159 records from 1494 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276203-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rvjtj2
title: Occurrence Download

description: A dataset containing 4087009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year 2000-2023"
 ]
}

 The dataset includes 4087009 records from 3016 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0272065-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62r3ns
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Puccinellia tenuissima",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 168 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012456-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4v63ce
title: Occurrence Download

description: A dataset containing 1480 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Freshwater Fishes of Guyana"
 ]
}

 The dataset includes 1480 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012455-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18667731
title: Genotyping Data of 251 Wheat Samples for Population Structure and GWAS Analysis
title: SNP Genotyping Data of 251 Wheat Samples

description: This dataset encompasses genotyping results for a collection of 251 wheat samples. The genotyping was conducted using the Illumina iSelect 90K SNP array at Trait Genetics, Gatersleben (Germany), using Illumina Inc., San Diego, USA.

The SNP dataset underwent rigorous quality filtering. Markers with a minor allele frequency (MAF) below 5% and those with more than 10% missing data were excluded. Following this filtering process, a total of 17,093 high-quality SNP markers were retained for the subsequent GWAS analysis. These data enable research focused on understanding the genetic basis of traits in wheat, investigating population structure within this collection, and identifying genomic regions associated with important agronomic characteristics.

Crucially, this high-density genotypic data has served as a valuable resource across multiple research projects, enabling diverse investigations into wheat genetics under various stress conditions (e.g., drought, heat, salinity) and across different field environments. It facilitates a deeper understanding of the genetic basis for traits relevant to crop improvement and adaptation. 

)This dataset supports the manuscript Genome-Wide Association Study Reveals Key SNP Markers for Component Yield-Related Traits in Bread Wheat (Triticum aestivum L.), ', currently under peer-review. It's uploaded at the editor's request. Upon publication, the article's DOI will be added to this record for trace ability(
DOI: 10.5281/zenodo.18667730
title: Genotyping Data of 251 Wheat Samples for Population Structure and GWAS Analysis
title: SNP Genotyping Data of 251 Wheat Samples

description: This dataset encompasses genotyping results for a collection of 251 wheat samples. The genotyping was conducted using the Illumina iSelect 90K SNP array at Trait Genetics, Gatersleben (Germany), using Illumina Inc., San Diego, USA.

The SNP dataset underwent rigorous quality filtering. Markers with a minor allele frequency (MAF) below 5% and those with more than 10% missing data were excluded. Following this filtering process, a total of 17,093 high-quality SNP markers were retained for the subsequent GWAS analysis. These data enable research focused on understanding the genetic basis of traits in wheat, investigating population structure within this collection, and identifying genomic regions associated with important agronomic characteristics.

Crucially, this high-density genotypic data has served as a valuable resource across multiple research projects, enabling diverse investigations into wheat genetics under various stress conditions (e.g., drought, heat, salinity) and across different field environments. It facilitates a deeper understanding of the genetic basis for traits relevant to crop improvement and adaptation. 

)This dataset supports the manuscript Genome-Wide Association Study Reveals Key SNP Markers for Component Yield-Related Traits in Bread Wheat (Triticum aestivum L.), ', currently under peer-review. It's uploaded at the editor's request. Upon publication, the article's DOI will be added to this record for trace ability(
DOI: 10.60600/yu/clawet/upkycf
title: 1137.wav

description: :unav
DOI: 10.15468/dl.5pw2zh
title: Occurrence Download

description: A dataset containing 6122 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Danaus eresimus (Cramer)"
 ]
}

 The dataset includes 6122 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092166-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/gmqnyv
title: 1129.wav

description: :unav
DOI: 10.60600/yu/clawet/sbyzxr
title: 1157.TextGrid

description: :unav
DOI: 10.15468/dl.zk6ypf
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Babiana tubulosa (Burm.f.) Ker Gawl.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 105 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092167-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/a31tu5
title: 1128.TextGrid

description: :unav
DOI: 10.15468/dl.wqkcq2
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceratocaulon Jungersen, 1892"
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092168-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nu5p8a
title: Occurrence Download

description: A dataset containing 1229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Living Specimen, Occurrence evidence, Material citation, Material sample)",
 "DatasetKey is one of (Vertebrate Zoology Division - Herpetology, Yale Peabody Museum, NMNH Extant Specimen Records (USNM, US), Museum of Comparative Zoology, Harvard University, International Barcode of Life project (iBOL), Babilla del Apaporis (Caiman crocodilus apaporiensis) en la cuenca media del río Apaporis, municipio de Pacoa, INSDC Sequences, Colección de Tejidos del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-CT), USGS Nonindigenous Aquatic Species database, LACM Vertebrate Collection, University of Florida Herpetology)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (2e167bb0-4441-11db-9ba2-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862, b4640710-8e03-11d8-b956-b8a03c50a862, b3bf3a83-1f68-4541-a03f-330d30d567f5, ada9d123-ddb4-467d-8891-806ea8d94230, ec11396a-66ab-4e57-b9c1-a8aff1cb7a1d, 2a7e3080-28a9-11dd-97cd-b8a03c50a862, c3ad790a-d426-4ac1-8e32-da61f81f0117, 493fe050-055d-11d8-b84f-b8a03c50a862, 8483a1f0-1032-11db-ae00-b8a03c50a862)",
 "TaxonKey is Caiman crocodilus (Linnaeus, 1758)"
 ]
}

 The dataset includes 1229 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092169-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t68r5u
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canarya Ocaña & van Ofwegen, 2003"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092170-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/mjy8ws
title: 1317.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/aweqct
title: 1229.TextGrid

description: :unav