cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13026/z9zv-g542
title: A Brazilian Multilabel Ophthalmological Dataset (BRSET)

description: The Brazilian Multilabel Ophthalmological Dataset (BRSET) is a multi-labeled
ophthalmological dataset designed to improve scientific community development
and validate machine learning models. In ophthalmology, ancillary exams
support medical decisions and can be used to develop algorithms; however, the
availability and representativeness of ophthalmological datasets are limited.
This dataset consists of 16,266 images from 8,524 Brazilian patients.
Demographics, macula, optic disc, and vessels anatomical parameters, focus,
illumination, image field, and artifacts as quality control, and multi-labels
are included alongside color fundus retinal photos. This dataset enables
computer vision models to predict demographic characteristics and multi-label
disease classification using retinal fundus photos.
DOI: 10.6084/m9.figshare.26669013
title: Additional file 2 of Glutathione peroxidase LtGPX3 contributes to oxidative stress tolerance, virulence, and plant defense suppression in the peach gummosis fungus Lasiodiplodia theobromae

description: Additional file 2: Table S1. Primer sequences used in this study.
DOI: 10.6084/m9.figshare.26669013.v1
title: Additional file 2 of Glutathione peroxidase LtGPX3 contributes to oxidative stress tolerance, virulence, and plant defense suppression in the peach gummosis fungus Lasiodiplodia theobromae

description: Additional file 2: Table S1. Primer sequences used in this study.
DOI: 10.13026/1pht-2b69
title: A Brazilian Multilabel Ophthalmological Dataset (BRSET)

description: The Brazilian Multilabel Ophthalmological Dataset (BRSET) is a multi-labeled
ophthalmological dataset designed to improve scientific community development
and validate machine learning models. In ophthalmology, ancillary exams
support medical decisions and can be used to develop algorithms; however, the
availability and representativeness of ophthalmological datasets are limited.
This dataset consists of 16,266 images from 8,524 Brazilian patients.
Demographics, macula, optic disc, and vessels anatomical parameters, focus,
illumination, image field, and artifacts as quality control, and multi-labels
are included alongside color fundus retinal photos. This dataset enables
computer vision models to predict demographic characteristics and multi-label
disease classification using retinal fundus photos.
DOI: 10.15468/dl.nm2dct
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-142.98372 31.76715,-117.73532 31.76715,-117.73532 66.11002,-142.98372 66.11002,-142.98372 31.76715))",
 "HasCoordinate is true",
 "TaxonKey is Solidobalanus hesperius (Pilsbry, 1916)"
 ]
}

 The dataset includes 83 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066991-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8s7wdn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.427893 -32.506227, 148.427893 -32.510718, 148.423401 -32.510718, 148.423401 -32.51521, 148.427893 -32.51521, 148.427893 -32.521947, 148.423401 -32.521947, 148.423401 -32.526439, 148.421155 -32.526439, 148.421155 -32.528685, 148.423401 -32.528685, 148.423401 -32.53093, 148.427893 -32.53093, 148.427893 -32.528685, 148.43463 -32.528685, 148.43463 -32.53093, 148.439122 -32.53093, 148.439122 -32.542159, 148.436876 -32.542159, 148.436876 -32.544405, 148.43463 -32.544405, 148.43463 -32.548897, 148.439122 -32.548897, 148.439122 -32.544405, 148.443613 -32.544405, 148.443613 -32.542159, 148.450351 -32.542159, 148.450351 -32.551143, 148.452596 -32.551143, 148.452596 -32.544405, 148.457088 -32.544405, 148.457088 -32.542159, 148.452596 -32.542159, 148.452596 -32.537668, 148.450351 -32.537668, 148.450351 -32.535422, 148.457088 -32.535422, 148.457088 -32.53093, 148.46158 -32.53093, 148.46158 -32.526439, 148.459334 -32.526439, 148.459334 -32.51521, 148.457088 -32.51521, 148.457088 -32.519701, 148.452596 -32.519701, 148.452596 -32.521947, 148.436876 -32.521947, 148.436876 -32.512964, 148.43463 -32.512964, 148.43463 -32.510718, 148.430138 -32.510718, 148.430138 -32.506227, 148.427893 -32.506227), (148.445859 -32.526439, 148.450351 -32.526439, 148.450351 -32.53093, 148.445859 -32.53093, 148.445859 -32.526439)), ((148.43463 -32.548897, 148.430138 -32.548897, 148.430138 -32.551143, 148.43463 -32.551143, 148.43463 -32.548897)), ((148.450351 -32.551143, 148.443613 -32.551143, 148.443613 -32.560126, 148.439122 -32.560126, 148.439122 -32.564617, 148.436876 -32.564617, 148.436876 -32.573601, 148.439122 -32.573601, 148.439122 -32.566863, 148.443613 -32.566863, 148.443613 -32.564617, 148.450351 -32.564617, 148.450351 -32.551143)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066990-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13323765
title: Humid Summers Promote Urban Aqueous-Phase Production of Oxygenated Organic Aerosol in the Northeastern United States

description: Temporary private repository for peer review only. One file for Queens site and one file for Manhattan site measurements are included.
DOI: 10.5281/zenodo.13323764
title: Humid Summers Promote Urban Aqueous-Phase Production of Oxygenated Organic Aerosol in the Northeastern United States

description: Temporary private repository for peer review only. One file for Queens site and one file for Manhattan site measurements are included.
DOI: 10.15468/dl.tcw8ah
title: Occurrence Download

description: A dataset containing 2375 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Alchornea discolor Poepp., Alchornea schomburgkii Klotzsch, Alchornea brachygyne Pax & K.Hoffm., Alchornea gardneri Müll.Arg., Alchornea glaziovii Pax & K.Hoffm.)"
 ]
}

 The dataset includes 2375 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066992-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xaburq
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cainia"
 ]
}

 The dataset includes 121 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066994-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wuxt6c
title: Occurrence Download

description: A dataset containing 15718951 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is International Barcode of Life project (iBOL)"
 ]
}

 The dataset includes 15718951 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066938-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13314762
title: databases inf test
DOI: 10.5281/zenodo.13314763
title: databases inf test
DOI: 10.15468/dl.ccd3xk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.558149 -32.55788, 148.558149 -32.560126, 148.551412 -32.560126, 148.551412 -32.566863, 148.553657 -32.566863, 148.553657 -32.564617, 148.560395 -32.564617, 148.560395 -32.55788, 148.558149 -32.55788))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066995-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ckaxkb
title: Occurrence Download

description: A dataset containing 1419 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Joinvilleaceae)"
 ]
}

 The dataset includes 1419 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032481-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chgfqb
title: Occurrence Download

description: A dataset containing 1774 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aratinga nana (Vigors, 1830)"
 ]
}

 The dataset includes 1774 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012976-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjpcrp
title: Occurrence Download

description: A dataset containing 31709 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is PPEAO - Pêches scientifiques. Peuplements de poissons des écosystèmes estuariens, lagunaires et continentaux d'Afrique de l'Ouest"
 ]
}

 The dataset includes 31709 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044605-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwwuvb
title: Occurrence Download

description: A dataset containing 309300 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Capsella bursa-pastoris (L.) Medik."
 ]
}

 The dataset includes 309300 records from 995 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012989-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3z46q
title: Occurrence Download

description: A dataset containing 579 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Jackiellaceae)"
 ]
}

 The dataset includes 579 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032458-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hxhf9
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Begonia galeolepis Ardi & D.C.Thomas"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053284-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9t90t
title: Occurrence Download

description: A dataset containing 774287 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aythya ferina (Linnaeus, 1758)"
 ]
}

 The dataset includes 774287 records from 469 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013007-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eptggf
title: Occurrence Download

description: A dataset containing 26726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "Country is Indonesia",
 "GadmGid is IDN.32_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 26726 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064788-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/85z8c6
title: Chasitermes pax, a new genus and species of soldierless termite (Termitidae, Apicotermitinae) from the island of Trinidad

description: This dataset contains the digitized treatments in Plazi based on the original journal article Scheffrahn, Rudolf H., Carrijo, Tiago F. (2023): Chasitermes pax, a new genus and species of soldierless termite (Termitidae, Apicotermitinae) from the island of Trinidad. ZooKeys 1139: 127-136, DOI: http://dx.doi.org/10.3897/zookeys.1139.94972, URL: http://dx.doi.org/10.3897/zookeys.1139.94972
DOI: 10.15156/bio/sh0187660.10fu
title: SH0187660.10FU

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/sh0187661.10fu
title: SH0187661.10FU

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/sh0187662.10fu
title: SH0187662.10FU

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/sh0187663.10fu
title: SH0187663.10FU

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/sh0187664.10fu
title: SH0187664.10FU

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/sh0187665.10fu
title: SH0187665.10FU

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/sh0187666.10fu
title: SH0187666.10FU

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/sh0187667.10fu
title: SH0187667.10FU

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/sh0187668.10fu
title: SH0187668.10FU

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/sh0187669.10fu
title: SH0187669.10FU

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.