cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ke58zx
title: Occurrence Download

description: A dataset containing 416185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-116.69716 32.55593,-115.90204 32.55593,-115.90204 33.03717,-116.69716 33.03717,-116.69716 32.55593))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2010-2023"
 ]
}

 The dataset includes 416185 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016538-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnkpac
title: Occurrence Download

description: A dataset containing 17933 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Livistona alfredii F.Muell., Livistona australis (R.Br.) Mart., Livistona benthamii F.M.Bailey, Livistona boninensis (Becc.) Nakai, Livistona carinensis (Chiov.) J.Dransf. & N.W.Uhl, Livistona chinensis (Jacq.) R.Br. ex Mart., Livistona concinna Dowe & Barfod, Livistona decora (W.Bull) Dowe, Livistona drudei F.Muell. ex Drude, Livistona eastonii C.A.Gardner, Livistona endauensis J.Dransf. & K.M.Wong, Livistona exigua J.Dransf., Livistona fulva Rodd, Livistona halongensis T.H.Nguyên & Kiew, Livistona humilis R.Br., Livistona inermis R.Br., Livistona jenkinsiana Griff., Livistona lanuginosa Rodd, Livistona leichhardtii F.Muell., Livistona mariae F.Muell., Livistona muelleri F.M.Bailey, Livistona nasmophila Dowe & D.L.Jones, Livistona nitida Rodd, Livistona saribus (Lour.) Merr. ex A.Chev., Livistona speciosa Kurz, Livistona tahanensis Becc., Livistona victoriae Rodd)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17933 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016571-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gd9yrs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Robinsonella pilosa Rose)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016572-250127130748423/datasets/export for details.
DOI: 10.15468/dl.wx649q
title: Occurrence Download

description: A dataset containing 909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Geometry POLYGON((-124 31,-100 31,-100 52,-124 52,-124 31))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bouteloua dactyloides (Nutt.) Columbus",
 "Year 1975-2025"
 ]
}

 The dataset includes 909 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016575-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.epyp6d
title: Occurrence Download

description: A dataset containing 2262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada)",
 "Geometry POLYGON((-124 31,-100 31,-100 52,-124 52,-124 31))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sporobolus cryptandrus (Torr.) A.Gray",
 "Year 1975-2025"
 ]
}

 The dataset includes 2262 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016577-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qs4tje
title: Occurrence Download

description: A dataset containing 3230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Country is United States of America",
 "Geometry POLYGON((-124 31,-100 31,-100 52,-124 52,-124 31))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bouteloua curtipendula (Michx.) Torr.",
 "Year 1975-2025"
 ]
}

 The dataset includes 3230 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016576-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5a97b
title: Occurrence Download

description: A dataset containing 1581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-124 31,-100 31,-100 52,-124 52,-124 31))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Schizachyrium scoparium (Michx.) Nash",
 "Year 1975-2025"
 ]
}

 The dataset includes 1581 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016574-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phz487
title: Occurrence Download

description: A dataset containing 905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "Geometry POLYGON((-124 31,-100 31,-100 52,-124 52,-124 31))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bouteloua eriopoda (Torr.) Torr.",
 "Year 1975-2025"
 ]
}

 The dataset includes 905 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016578-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dwhn3
title: Occurrence Download

description: A dataset containing 3983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Olax candida (Poepp.) Christenh. & Byng, Olax crassa (Monach.) Christenh. & Byng, Olax egleri (J.O.Rangel) Christenh. & Byng, Olax gardneriana Benth., Olax guianensis (Engl.) Christenh. & Byng, Olax inopiflora (Miers) Christenh. & Byng, Olax macrophylla Benth., Olax papillosa (Bastos) Christenh. & Byng, Olax pauciflora Benth., Olax redmondii (Steyerm.) Christenh. & Byng, Olax singularis (Vell.) Christenh. & Byng, Olax tepuiensis (Steyerm.) Christenh. & Byng, Olax antsiranensis Z.S.Rogers, Malécot & Sikes, Olax capuronii Z.S.Rogers, Malécot & Sikes, Olax dissitiflora Oliv., Olax emirnensis Baker, Olax gossweileri Exell & Mendonça, Olax hypoleuca Baill., Olax imbricata Roxb., Olax lanceolata Cavaco & Keraudren, Olax madagascariensis (Thouars ex DC.) Valeton, Olax obtusifolia De Wild., Olax pentandra Sleumer, Olax psittacorum (Lam.) Vahl, Olax subscorpioidea Oliv., Olax thouarsii (DC.) Valeton, Olax zeylanica L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3983 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016579-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds005903.v1.0.0
title: Neural correlates of attentional shifts driven by the gaze of others
DOI: 10.15468/dl.ukp9pe
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Robinsonella pilosissima Fryxell)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016580-250127130748423/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.28307060
title: DNA methylation data

description: This data was generated as a result of research on the effects of meditation on DNA methylation in inflammation-related genes. This data is on the methylation of CXCL8, TNFa, IFNr, COX2, IL6 genes.
DOI: 10.6084/m9.figshare.28307060.v1
title: DNA methylation data

description: This data was generated as a result of research on the effects of meditation on DNA methylation in inflammation-related genes. This data is on the methylation of CXCL8, TNFa, IFNr, COX2, IL6 genes.
DOI: 10.15468/dl.bncshc
title: Occurrence Download

description: A dataset containing 11868 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Zoología Invertebrados - Malacología"
 ]
}

 The dataset includes 11868 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016582-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r35kbw
title: Occurrence Download

description: A dataset containing 310408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PhylumKey is one of (Tracheophyta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada)",
 "StateProvince is one of (Alberta)"
 ]
}

 The dataset includes 310408 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016553-250127130748423/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.30933625.v1
title: Age-Specific Prevalence of Multiple Human Papillomavirus Infections in a Clinical Cohort of Men: A Cross-Sectional Study in Shenzhen, China

description: Currently, 9-valent Human Papillomavirus (HPV) vaccines are recommended for males aged 16-26 years in China. Herein, we evaluated the impact of Human Immunodeficiency Virus (HIV) on the prevalence of multiple HPV infections across different age groups of males, including men who have sex with men (MSM), to inform future vaccination strategies. A cohort of 5,033 HPV-infected males were selected from Shenzhen Third People's Hospital between 2018 and 2023. HIV status and basic clinical information were collected. Among this cohort, 766 individuals were identified as MSM. Increasing age was associated with a higher prevalence of multiple HPV infections among HIV<sup>+</sup> males. In contrast, among HIV<sup>-</sup> males, the prevalence of multiple HPV infections demonstrated a bimodal distribution with age. The highest prevalence was observed in the ≤20 years group (49.3%), followed by a second peak in the &gt;50 years group (47.3%). Among HPV-infected individuals over 50 years old, the prevalence of infection with at least one vaccine-covered HPV type was higher in HIV<sup>+</sup> men (97.8%) than the average level across all groups. Our analysis revealed distinct age-related patterns of multiple HPV infections between HIV<sup>+</sup> and HIV<sup>-</sup> males. Furthermore, HPV types covered by the vaccine remained highly prevalent among older adults in both HIV<sup>+</sup> and HIV<sup>-</sup> males. These findings support expanding the age eligibility criteria for male HPV vaccination programs in China and underscore the need to prioritize vaccination for high-risk groups, including HIV<sup>+</sup> men, MSM, and older males.
DOI: 10.15156/bio/sh0181406.10fu
title: SH0181406.10FU

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/sh0181407.10fu
title: SH0181407.10FU

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/sh0181408.10fu
title: SH0181408.10FU

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/sh0181409.10fu
title: SH0181409.10FU

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/sh0181410.10fu
title: SH0181410.10FU

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/sh0181411.10fu
title: SH0181411.10FU

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/sh0181412.10fu
title: SH0181412.10FU

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/sh0181413.10fu
title: SH0181413.10FU

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/sh0181414.10fu
title: SH0181414.10FU

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: 10.7910/dvn/0j0gq3
title: Air Quality System (AQS)

description: The EPA's Air Quality System (AQS) is a comprehensive network of monitoring stations that collects and distributes data on various air pollutants. The monitoring stations provide hourly measurements of pollutants such as nitrogen dioxide (NO2), ozone (O3), and particulate matter (PM) (Lamsal et al., 2008). The data are considered the gold standard for measuring air pollutants (Considine et al., 2023). The EPA's efforts to improve air quality are guided by the Clean Air Act, which requires the agency to evaluate the costs and benefits of new rules and regulations to reduce pollution (McGuffey, 2016).
DOI: 10.15156/bio/sh0181415.10fu
title: SH0181415.10FU

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.