cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7xrr4h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mesitornithiformes)",
 "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((-180 30,-150 30,-150 60,-180 60,-180 30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057117-250920141307145/datasets/export for details.
DOI: 10.15468/dl.p8h6wx
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dignathia hirtella",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057116-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4s2sb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mesitornithiformes)",
 "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((150 60,180 60,180 90,150 90,150 60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057118-250920141307145/datasets/export for details.
DOI: 10.15468/dl.ssbr5t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mesitornithiformes)",
 "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((120 60,150 60,150 90,120 90,120 60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057119-250920141307145/datasets/export for details.
DOI: 10.15468/dl.3rv9m6
title: Occurrence Download

description: A dataset containing 4809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Camphora officinarum",
 "Year 1970-2025"
 ]
}

 The dataset includes 4809 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057121-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3rqpz
title: Occurrence Download

description: A dataset containing 107069 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cobitis elongatoides, Hucho hucho, Gobio obtusirostris, Cobitis elongata, Romanogobio vladykovi, Romanogobio uranoscopus, Phoxinus csikii, Coregonus bezola, Coregonus lavaretus, Romanogobio kesslerii, Phoxinus marsilii, Alburnoides thessalicus, Alburnoides strymonicus, Thymallus ligericus, Romanogobio skywalkeri, Chondrostoma nasus, Barbus euboicus, Oncorhynchus kawamurae, Microphysogobio pseudoelongatus, Harttia rhombocephala, Salvelinus faroensis, Bryconamericus lambari, Pseudolaguvia inornata, Allomogurnda montana, Mesopristes kneri, Anablepsoides tocantinensis, Polycentrus jundia, Rachovia fransvermeuleni, Laimosemion kirovskyi, Simpsonichthys margaritatus, Chaetostoma floridablancaensis, Pachyula conorhynchus, Potamosilurus, Pseudomugil paskai, Nematalosa papuensis, Thryssa rastrosa, Rhodeus lighti, Melanorivulus formosensis, Simpsonichthys parallelus, Hyphessobrycon piabinhas, Enigmatochromis lucanusi, Esox aquitanicus, Leuciscus burdigalensis, Cottus duranii, Gobio alverniae, Leuciscus oxyrrhis, Rhabdolichops jegui, Satanoperca rhynchitis, Nannacara aureocephalus, Leptodoras marki, Gasterosteus crenobiontus, Coptodon polycentra, Distoechodon compressus, Spinibarbus caldwelli, Cyclopharynx fwae, Poropanchax pepo, Aphyosemion microphtalmum, Labeobarbus semireticulatus, Chrysichthys persimilis, Triplophysa zamegacephala, Rasbora adisi, Placogobio bacmeensis, Balitora vanlongi, Parailia spiniserrata, Parailia somalensis, Lepidocephalichthys annandalei, Garra prashadi, Psilorhynchus nudithoracicus, Devario aequipinnatus, Acanthocobitis pavonacea, Erethistes jerdoni, Gogangra viridescens, Systomus clavatus, Conta conta, Gagata sexualis, Erethistes hara, Nangra nangra, Acanthocobitis longipinnis, Danio dangila, Batasio batasio, Nangra bucculenta, Pseudecheneis suppaetula, Sisor rheophilus, Pseudecheneis eddsi, Pseudecheneis serracula, Erethistoides ascita, Sisor rabdophorus, Psilorhynchus balitora, Psilorhynchus sucatio, Sinocyclocheilus luopingensis, Telestes metohiensis, Microsynodontis polli, Garra geba, Coregonus renke, Mastacembelus praensis, Notoglanidium walkeri, Glyptothorax strabonis, Schistura scripta)",
 "HasCoordinate is true",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 107069 records from 262 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057080-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54sn7p
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Burhinus oedicnemus distinctus)",
 "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 42 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057122-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrgwz8
title: Occurrence Download

description: A dataset containing 2677 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ilex chinensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2677 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057123-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpj4ea
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mesitornithiformes)",
 "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((90 60,120 60,120 90,90 90,90 60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057125-250920141307145/datasets/export for details.
DOI: 10.15468/dl.duq8u8
title: Occurrence Download

description: A dataset containing 27061 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ludwigia peploides)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27061 records from 681 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057124-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgmt89
title: Occurrence Download

description: A dataset containing 86096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Eusynthemis tillyardi Theischinger, 1995, Telephlebia godeffroyi Selys, 1883, Tramea loewii Kaup, 1866, Orthetrum migratum Lieftinck, 1951, Antipodophlebia asthenes (Tillyard, 1916), Eusynthemis aurolineata (Tillyard, 1913), Austroaeschna parvistigma Martin, 1901, Austrogomphus amphiclitus (Selys, 1873), Austroaeschna cooloola Theischinger, 1991, Austroaeschna pulchra Tillyard, 1909, Hemigomphus heteroclytus Selys, 1854, Hemigomphus gouldii (Selys, 1854), Eusynthemis guttata (Selys, 1871), Anax papuensis (Burmeister, 1839), Nannophya australis Brauer, 1865, Rhyothemis graphiptera (Rambur, 1842), Diplacodes haematodes (Burmeister, 1839), Diplacodes bipunctata (Brauer, 1865), Crocothemis nigrifrons (Kirby, 1894), Synthemis eustalacta (Burmeister, 1839), Eusynthemis brevistyla (Selys, 1871), Cordulephya montana Tillyard, 1911, Austrogomphus ochraceus (Selys, 1869), Austrogomphus guerini (Rambur, 1842), Hemicordulia tau Selys, 1871, Choristhemis flavoterminata (Martin, 1901), Austroaeschna inermis Martin, 1901, Orthetrum caledonicum (Brauer, 1865), Adversaeschna brevistyla (Rambur, 1842), Orthetrum villosovittatum (Brauer, 1868), Orthetrum sabina (Drury, 1773), Hemicordulia australiae (Rambur, 1842))"
 ]
}

 The dataset includes 86096 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001788-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h27bvk
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plagiomnium vesicatum (Besch.) T.J.Kop."
 ]
}

 The dataset includes 30 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001789-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6vxen
title: Occurrence Download

description: A dataset containing 759314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anthriscus sylvestris (L.) Hoffm.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 759314 records from 2427 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001781-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5a384
title: Occurrence Download

description: A dataset containing 34039722 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 34039722 records from 3586 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005250-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycnu6e
title: Occurrence Download

description: A dataset containing 4617838 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Malaysia"
 ]
}

 The dataset includes 4617838 records from 2167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071933-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0213916.10fu
title: SH0213916.10FU

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/sh0213917.10fu
title: SH0213917.10FU

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/sh0213918.10fu
title: SH0213918.10FU

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/sh0213919.10fu
title: SH0213919.10FU

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/sh0213920.10fu
title: SH0213920.10FU

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/sh0213921.10fu
title: SH0213921.10FU

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/sh0213922.10fu
title: SH0213922.10FU

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/sh0213923.10fu
title: SH0213923.10FU

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/sh0213924.10fu
title: SH0213924.10FU

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/sh0213925.10fu
title: SH0213925.10FU

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.