cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.44cgsw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Taeniothrips simplex",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032095-250920141307145/datasets/export for details.
DOI: 10.15468/dl.u2jr4s
title: Occurrence Download

description: A dataset containing 23172 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrochoerus hydrochaeris"
 ]
}

 The dataset includes 23172 records from 270 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032096-250920141307145/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.30239437
title: Monetary Integration and Purchasing Power Parity between Singapore and Britain during the Nineteenth Century<b></b><b></b><b></b><b></b><b></b><b></b><b></b><b></b>

description: This is the online data for the article 'Monetary Integration and Purchasing Power Parity between Singapore and Britain during the Nineteenth Century' authored by Atsushi KOBAYASHI.
DOI: 10.6084/m9.figshare.30239437.v3
title: Monetary Integration and Purchasing Power Parity between Singapore and Britain during the Nineteenth Century<b></b><b></b><b></b><b></b><b></b><b></b><b></b><b></b>

description: This is the online data for the article 'Monetary Integration and Purchasing Power Parity between Singapore and Britain during the Nineteenth Century' authored by Atsushi KOBAYASHI.
DOI: 10.6084/m9.figshare.30239437.v2
title: Monetary Integration and Purchasing Power Parity between Singapore and Britain during the Nineteenth Century<b></b><b></b><b></b><b></b><b></b><b></b><b></b><b></b>

description: This is the online data for the article 'Monetary Integration and Purchasing Power Parity between Singapore and Britain during the Nineteenth Century' authored by Atsushi KOBAYASHI.
DOI: 10.15468/dl.pahyn4
title: Occurrence Download

description: A dataset containing 20444229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Japan, Korea (Democratic People’s Republic of), Korea, Republic of, Mongolia, Russian Federation)",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 20444229 records from 1752 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032069-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrxqwc
title: Occurrence Download

description: A dataset containing 1188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prunus sargentii Rehder"
 ]
}

 The dataset includes 1188 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069469-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0192155.10fu
title: SH0192155.10FU

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/sh0192156.10fu
title: SH0192156.10FU

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: 10.6084/m9.figshare.31040890
title: Estimating minimal clinically important difference in cataract surgical outcome

description: This dataset contains the raw data from a prospective cohort study conducted to evaluate the Minimal Important Difference (MID) for cataract surgery outcomes in a Ghanaian population. The study compares clinical and patient-reported outcomes between two surgical techniques: Phacoemulsification (PHACO) and Manual Small Incision Cataract Surgery (SICS).
DOI: 10.6084/m9.figshare.31040890.v1
title: Estimating minimal clinical important difference in cataract surgical outcome

description: This dataset contains the raw data from a prospective cohort study conducted to evaluate the Minimal Important Difference (MID) for cataract surgery outcomes in a Ghanaian population. The study compares clinical and patient-reported outcomes between two surgical techniques: Phacoemulsification (PHACO) and Manual Small Incision Cataract Surgery (SICS).
DOI: 10.6084/m9.figshare.31040890.v2
title: Estimating minimal clinically important difference in cataract surgical outcome

description: This dataset contains the raw data from a prospective cohort study conducted to evaluate the Minimal Important Difference (MID) for cataract surgery outcomes in a Ghanaian population. The study compares clinical and patient-reported outcomes between two surgical techniques: Phacoemulsification (PHACO) and Manual Small Incision Cataract Surgery (SICS).
DOI: 10.15156/bio/sh0192157.10fu
title: SH0192157.10FU

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/sh0192158.10fu
title: SH0192158.10FU

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/sh0192159.10fu
title: SH0192159.10FU

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/sh0192160.10fu
title: SH0192160.10FU

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/sh0192161.10fu
title: SH0192161.10FU

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/sh0192162.10fu
title: SH0192162.10FU

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/sh0192163.10fu
title: SH0192163.10FU

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/sh0192164.10fu
title: SH0192164.10FU

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.qgbq9m
title: Occurrence Download

description: A dataset containing 46487 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microtus agrestis (Linnaeus, 1761)"
 ]
}

 The dataset includes 46487 records from 244 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008046-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrvwbp
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Beilschmiedia argentata Kosterm."
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048165-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.za6vg7
title: Occurrence Download

description: A dataset containing 1548 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Dicaeum aureolimbatum (Wallace, 1865)"
 ]
}

 The dataset includes 1548 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038403-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4sqgz
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Meloe cavensis Petagna, 1819"
 ]
}

 The dataset includes 31 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008034-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kkabah
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Begonia kemumuensis M.Hughes"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054268-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79p9yt
title: Occurrence Download

description: A dataset containing 6621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cardellina rubrifrons (Giraud Jr, 1841)",
 "Year 2022-2024"
 ]
}

 The dataset includes 6621 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038505-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fi2cvk
title: Occurrence Download

description: A dataset containing 2037 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erinaceus europaeus europaeus"
 ]
}

 The dataset includes 2037 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008037-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.md3sm9
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crepidula protea d'Orbigny, 1841",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 43 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048164-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wunwck
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crataegus laciniata Ucria"
 ]
}

 The dataset includes 511 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070339-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcwr3d
title: Occurrence Download

description: A dataset containing 235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Alouatta palliata (Gray, 1849)"
 ]
}

 The dataset includes 235 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063485-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xc89qa
title: Occurrence Download

description: A dataset containing 645 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Teucrium webbianum Boiss."
 ]
}

 The dataset includes 645 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070351-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bcgwvh
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Year 2010-2010",
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Icterus galbula (Linnaeus, 1758)"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008409-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qw2fg
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Kazakhstan",
 "Country is Kyrgyzstan",
 "Country is Tajikistan",
 "Country is Uzbekistan"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Elaeagnus angustifolia L."
 ]
}

 The dataset includes 86 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070613-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ojj7el
title: Occurrence Download

description: A dataset containing 3941187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Year 2010-2018",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3941187 records from 311 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009033-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.