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

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Lindernia purpurea (Lebrun & Touss.) Germ.",
 "TaxonKey is Craterostigma purpureum Lebrun & Touss."
 ]
 }
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165377-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d7baxs
title: Occurrence Download

description: A dataset containing 453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oenothera cespitosa Nutt.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 453 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165402-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhwgdr
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia lateriflora Schumach."
 ]
}

 The dataset includes 60 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023238-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9d66p
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyrtochilum macranthum (Lindl.) Kraenzl."
 ]
}

 The dataset includes 144 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023239-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5kgse5
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scutellaria nervosa Pursh",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 33 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0175960-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.388vav
title: Occurrence Download

description: A dataset containing 5024627 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Squamata"
 ]
}

 The dataset includes 5024627 records from 1513 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023239-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xztvs
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus fruticosus Sm."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045208-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14540133
title: REVIEW OF A STUDY ON MEXICO AND NIGERIA'S LEVEL OF DEVELOPMENT: THE NEW METHODOLOGY, FINDINGS & RECOMMENDATIONS

description: Adekanbi's (2024) study analyzes economic development in Mexico and Nigeria using an innovative methodology combining regression analysis and structural change detection. Key findings for Mexico reveal that while external debt has minimal impact on GNI, welfare spending significantly boosts growth, and FDI offers moderate benefits with potential for greater local impact. The study addresses violence as a critical challenge, proposing reforms in housing, urban planning, anti-corruption measures, and societal re-orientation campaigns. With actionable, data- driven recommendations, the research provides policymakers with practical strategies to enhance Mexico’s economic resilience and address social challenges.
DOI: 10.5281/zenodo.14540134
title: REVIEW OF A STUDY ON MEXICO AND NIGERIA'S LEVEL OF DEVELOPMENT: THE NEW METHODOLOGY, FINDINGS & RECOMMENDATIONS

description: Adekanbi's (2024) study analyzes economic development in Mexico and Nigeria using an innovative methodology combining regression analysis and structural change detection. Key findings for Mexico reveal that while external debt has minimal impact on GNI, welfare spending significantly boosts growth, and FDI offers moderate benefits with potential for greater local impact. The study addresses violence as a critical challenge, proposing reforms in housing, urban planning, anti-corruption measures, and societal re-orientation campaigns. With actionable, data- driven recommendations, the research provides policymakers with practical strategies to enhance Mexico’s economic resilience and address social challenges.
DOI: 10.15468/dl.a8vjpg
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nyctereutes procyonoides (Gray, 1834)",
 "Country is Lithuania",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 34 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045209-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxtf8b
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus fruticosus Ledeb."
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045210-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e383w4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus fruticosus Hegetschw."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045211-241126133413365/datasets/export for details.
DOI: 10.15468/dl.fdmdea
title: Occurrence Download

description: A dataset containing 114765 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aira caryophyllea L."
 ]
}

 The dataset includes 114765 records from 1432 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045207-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sf7rcw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus fruticosus Gremli"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045212-241126133413365/datasets/export for details.
DOI: 10.15468/dl.q6mcjc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aira caryophyllea Bertol."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045214-241126133413365/datasets/export for details.
DOI: 10.15468/dl.fq7y2b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus fruticosus P.Gaertn., B.Mey. & Scherb."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045215-241126133413365/datasets/export for details.
DOI: 10.15468/dl.vvmhf6
title: Occurrence Download

description: A dataset containing 18422 species occurrences available in GBIF matching the query:
{
 "StateProvince" : [
 "is FUKUOKA Pref."
 ]
}

 The dataset includes 18422 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045213-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n57ad8
title: Occurrence Download

description: A dataset containing 9192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.34234 45.02236,14.01493 45.93497,14.12943 46.99472,12.8201 47.30312,9.85673 47.45273,8.16814 47.02339,7.00171 46.41265,6.48709 45.7771,6.44785 45.02943,6.66077 44.3301,7.41172 43.73832,7.76663 42.44921,6.97154 38.08948,9.41947 37.8477,13.49524 36.76222,14.92128 36.45189,15.7556 36.47735,17.81609 37.81765,18.45504 39.22742,18.96727 40.30773,17.47369 41.77981,13.81788 43.939,12.91105 44.84794,13.34234 45.02236))",
 "TaxonKey is Apis mellifera Linnaeus, 1758"
 ]
}

 The dataset includes 9192 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045216-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kkfy7p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus fruticosus J.Fisch."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045218-241126133413365/datasets/export for details.
DOI: 10.15468/dl.cau8je
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus fruticosus Weihe & Nees"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045219-241126133413365/datasets/export for details.
DOI: 10.15468/dl.7p6b4s
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus fruticosus L. ex Dierb."
 ]
}

 The dataset includes 73 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045220-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7t74d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus fruticosus Makino & Nemoto"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045221-241126133413365/datasets/export for details.
DOI: 10.15468/dl.y6w2h2
title: Occurrence Download

description: A dataset containing 131528 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Procyon lotor (Linnaeus, 1758)"
 ]
}

 The dataset includes 131528 records from 467 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045217-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pekkz
title: Occurrence Download

description: A dataset containing 129416130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((117.66761 -14.14052,109.03961 -20.82723,110.87306 -32.90643,118.09901 -39.37744,129.09972 -42.61294,142.25743 -41.75014,145.60078 -40.13239,149.15983 -39.91669,155.09158 -34.52418,158.32708 -25.57263,152.71888 -17.26817,145.70863 -12.41492,139.88472 -9.71867,134.16867 -8.85587,126.18777 -10.58147,117.66761 -14.14052))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 129416130 records from 2280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002639-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1167800.10fu
title: SH1167800.10FU

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/sh1167803.10fu
title: SH1167803.10FU

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/sh1167808.10fu
title: SH1167808.10FU

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/sh1167812.10fu
title: SH1167812.10FU

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/sh1167816.10fu
title: SH1167816.10FU

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/sh1167817.10fu
title: SH1167817.10FU

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/sh1167820.10fu
title: SH1167820.10FU

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/sh1167821.10fu
title: SH1167821.10FU

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/sh1167822.10fu
title: SH1167822.10FU

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/sh1167823.10fu
title: SH1167823.10FU

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.