cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1186678.10fu
title: SH1186678.10FU

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/sh1186679.10fu
title: SH1186679.10FU

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/sh1186682.10fu
title: SH1186682.10FU

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/sh1186683.10fu
title: SH1186683.10FU

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/sh1186684.10fu
title: SH1186684.10FU

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/sh1186688.10fu
title: SH1186688.10FU

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/sh1186689.10fu
title: SH1186689.10FU

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/sh1186692.10fu
title: SH1186692.10FU

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/sh1186693.10fu
title: SH1186693.10FU

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.cnz59c
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Camellia L."
 ]
}

 The dataset includes 143 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007602-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3e885q
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyatheaceae"
 ]
}

 The dataset includes 25 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007604-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ds7n7j
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Drosera peltata Thunb."
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007605-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2y3ypg
title: Occurrence Download

description: A dataset containing 483584 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "Geometry POLYGON ((148.6693 -30.94765, 149.854 -30.94765, 149.854 -29.94328, 148.6693 -29.94328, 148.6693 -30.94765))",
 "Year is less than 2026"
 ]
}

 The dataset includes 483584 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007567-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrabx8
title: Occurrence Download

description: A dataset containing 10079568 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Victorian Biodiversity Atlas"
 ]
}

 The dataset includes 10079568 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007589-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15110845
title: Global Semiconductor Specialty Gas Market 2025 To 2034

description: Semiconductor Specialty Gas Market Size, Trends and Insights By Type (Nitrogen Trifluoride, Silicon-Precursor Gases, Fluoroalkane., Ammonia, Others), By Application (Consumer Electronics, Automotive Electronics, Networking & Communications, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

Global Semiconductor Specialty Gas Market was valued at in USD 2.71 Billion 2025 and is expected to reach USD 5.34 Billion by 2034, at a CAGR of 7.63% during the forecast period 2025 – 2034.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=68326
DOI: 10.5281/zenodo.15110846
title: Global Semiconductor Specialty Gas Market 2025 To 2034

description: Semiconductor Specialty Gas Market Size, Trends and Insights By Type (Nitrogen Trifluoride, Silicon-Precursor Gases, Fluoroalkane., Ammonia, Others), By Application (Consumer Electronics, Automotive Electronics, Networking & Communications, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

Global Semiconductor Specialty Gas Market was valued at in USD 2.71 Billion 2025 and is expected to reach USD 5.34 Billion by 2034, at a CAGR of 7.63% during the forecast period 2025 – 2034.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=68326
DOI: 10.15468/dl.83sgjc
title: Occurrence Download

description: A dataset containing 319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Enkianthus quinqueflorus Lour."
 ]
}

 The dataset includes 319 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007606-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28692515.v1
title: <b>Molecular mechanism of phenol 2-monooxygenase (FgPhm)</b><b>in regulating virulence and DON biosynthesis in </b><b><i>Fusarium graminearum</i></b>

description: this study has demonstrated that FgPhm1 is crucial for the growth and development of F. graminearum and the production of Deoxynivalenol (DON), and plays an important role in the pathogenicity and stress response processes of F. graminearum. Through depth research on phenol2-monooxygenase, it lays a foundation for fundamentally revealing the mechanism of action of phenol2-monooxygenase during the growth and development process of F. graminearum, and reveals the relationship between phenol metabolism and the pathogenic mechanism in F. graminearum. Thiswill provides a theoretical basis for the development of new pesticides and the prevention and control of Fusarium head blight of wheat.
DOI: 10.15468/dl.sf8aw8
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Illicium L."
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007607-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3kas4u
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is IberArthro: A database compiling taxonomic and distributional data on Ibero-Balearic arthropods",
 "Geometry POLYGON((2.11568 41.49908,2.1154 41.49926,2.11566 41.49951,2.11559 41.49997,2.11528 41.50063,2.11508 41.50082,2.11484 41.50079,2.11466 41.5009,2.11413 41.50104,2.11359 41.5014,2.1135 41.50161,2.11254 41.50233,2.11165 41.50294,2.11108 41.50321,2.11147 41.5047,2.11104 41.5048,2.11022 41.50486,2.10952 41.50537,2.1093 41.50599,2.10916 41.50615,2.109 41.50632,2.10894 41.50669,2.10888 41.50672,2.10885 41.50665,2.10864 41.50652,2.10841 41.50655,2.10752 41.50708,2.1071 41.50735,2.10681 41.50745,2.10529 41.50632,2.1051 41.50652,2.10488 41.50664,2.10479 41.50687,2.10457 41.50705,2.1039 41.50734,2.10325 41.50758,2.10291 41.50786,2.10257 41.50813,2.10211 41.50787,2.10134 41.5083,2.09989 41.50871,2.09797 41.50882,2.09293 41.50851,2.09306 41.50584,2.093 41.50508,2.09281 41.5043,2.09234 41.50306,2.09108 41.50109,2.08779 41.49748,2.08768 41.49726,2.0886 41.49697,2.0889 41.49711,2.0893 41.49715,2.0897 41.49732,2.09056 41.49698,2.09073 41.49697,2.0909 41.49714,2.09111 41.4972,2.09403 41.49677,2.09394 41.49622,2.09434 41.49589,2.09428 41.49559,2.09469 41.49573,2.09511 41.49556,2.09541 41.49523,2.09535 41.49482,2.09517 41.49458,2.09493 41.49437,2.09559 41.49401,2.0966 41.49327,2.09697 41.49314,2.09695 41.49301,2.09812 41.49345,2.09919 41.49373,2.10021 41.49373,2.10126 41.49364,2.10229 41.49361,2.10366 41.49373,2.10526 41.49401,2.10719 41.49449,2.10901 41.49509,2.11009 41.49549,2.11185 41.49646,2.11387 41.49772,2.11462 41.49827,2.11568 41.49908))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 185 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007608-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hyqq4
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paranyssa A.B.Doweld, 2021"
 ]
}

 The dataset includes 236 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007609-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49hhte
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Illigera celebica Miq."
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007610-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j64kte
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Ohio Wesleyan University Paleontology Specimens (Arctos)"
 ]
}

 The dataset includes 378 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007611-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckw6n9
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Papilio polyctor Boisduval, 1836"
 ]
}

 The dataset includes 33 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007612-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79dt86
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Impatiens hongkongensis Grey-Wilson"
 ]
}

 The dataset includes 92 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007613-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15110858
title: Global Green Gas Market 2025 To 2034

description: Green Gas Market Size, Trends and Insights By Type (Biomethane, Biopropane, Hydrogen), By End User (Transportation, Power, Buildings), By Source (Industrial Waste, Agricultural Waste, Sewage Sludge, Energy Crops, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

Global Green Gas Market was valued at USD 1.83 Billion in 2025 and is expected to reach USD 2.81 Billion by 2034, at a CAGR of 6.20% during the Forecast period 2025 – 2034.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=68322
DOI: 10.5281/zenodo.15110859
title: Global Green Gas Market 2025 To 2034

description: Green Gas Market Size, Trends and Insights By Type (Biomethane, Biopropane, Hydrogen), By End User (Transportation, Power, Buildings), By Source (Industrial Waste, Agricultural Waste, Sewage Sludge, Energy Crops, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

Global Green Gas Market was valued at USD 1.83 Billion in 2025 and is expected to reach USD 2.81 Billion by 2034, at a CAGR of 6.20% during the Forecast period 2025 – 2034.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=68322
DOI: 10.15468/dl.xag48v
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Iris speculatrix Hance"
 ]
}

 The dataset includes 33 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007615-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.