cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0160454.10fu
title: SH0160454.10FU

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/sh0160455.10fu
title: SH0160455.10FU

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/sh0160456.10fu
title: SH0160456.10FU

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/sh0160457.10fu
title: SH0160457.10FU

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/sh0160458.10fu
title: SH0160458.10FU

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/sh0160459.10fu
title: SH0160459.10FU

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/sh0160460.10fu
title: SH0160460.10FU

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.b42fe9
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Cancrinia tianschanica"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008360-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmdvtd
title: Occurrence Download

description: A dataset containing 2486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-11.10992 35.47079,9.65358 35.47079,9.65358 43.77263,-11.10992 43.77263,-11.10992 35.47079))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Festuca gautieri (Hack.) K.Richt.",
 "Year 1970-2023"
 ]
}

 The dataset includes 2486 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250628-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krup67
title: Occurrence Download

description: A dataset containing 1251 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambystoma altamirani Dugès, 1895"
 ]
}

 The dataset includes 1251 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047481-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqbmyc
title: Occurrence Download

description: A dataset containing 12405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Geometry POLYGON((-76.5465 8.09676,-76.58167 7.79192,-76.62434 7.71313,-76.54227 7.53727,-76.44848 7.22071,-76.49537 7.08002,-76.62434 6.9276,-76.68297 6.69311,-76.49537 6.4,-76.54227 6.20069,-76.49537 5.82551,-76.51882 5.4855,-76.62434 5.23929,-76.54227 5.01652,-76.56572 4.77031,-76.61262 4.50065,-76.72986 4.30134,-76.82366 4.0903,-76.9409 3.82064,-77.16366 3.41028,-77.29263 3.16407,-77.38643 2.82406,-77.64436 2.44888,-78.01955 1.99163,-78.32438 1.593,-78.44162 1.31162,-78.74646 0.92471,-79.05129 0.52608,-79.25061 0.01021,-79.48509 -0.57601,-79.30923 -1.08016,-78.76991 -0.95119,-78.383 -0.13049,-77.9492 0.70195,-77.76161 1.29989,-77.5154 1.51093,-77.04642 2.03853,-76.49537 2.90613,-76.40158 3.35166,-76.24916 4.05512,-76.0733 4.28961,-76.01468 4.571,-75.94433 4.77031,-75.78019 4.89928,-75.65122 5.20411,-75.56915 5.54412,-75.56915 5.82551,-75.76922 6.01461,-75.82784 6.46014,-75.82784 6.90567,-75.54646 7.23812,-75.2768 7.5195,-75.31197 7.81261,-75.32369 7.98848,-75.52301 8.0002,-75.80439 7.87123,-75.85129 8.14089,-76.01543 8.31676,-76.10923 8.18779,-76.15613 8.0471,-76.30854 8.19952,-76.46096 8.19952,-76.5465 8.09676))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rupicola peruvianus (Latham, 1790)",
 "Year 1960-2022"
 ]
}

 The dataset includes 12405 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0138053-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvdndw
title: Occurrence Download

description: A dataset containing 800 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Eventos de monitoreo florístico en Sitios de Monitoreo El Roble y Cantillana, Región Metropolitana de Santiago, Chile - Proyecto GEF Corredores Biológicos de Montaña."
 ]
}

 The dataset includes 800 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122092-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z66xum
title: Occurrence Download

description: A dataset containing 8431 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vitex trifolia L."
 ]
}

 The dataset includes 8431 records from 248 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250651-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4b7b83
title: Occurrence Download

description: A dataset containing 926788 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.31_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 926788 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0167085-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzjyjp
title: Occurrence Download

description: A dataset containing 30478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1030.0",
 "TaxonKey is Triticum aestivum L."
 ]
}

 The dataset includes 30478 records from 226 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135122-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a82x2z
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "GadmGid is RUS.30_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Dryopteris filix-mas (L.) Schott",
 "Year 2013-2022"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122098-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.emyjtj
title: Occurrence Download

description: A dataset containing 6090 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.95629063594875 -0.1925616205880445,-73.95629063594875 -0.1925616205880445,-73.95629063594875 3.8074383794119555,-77.95629063594875 3.8074383794119555,-77.95629063594875 -0.1925616205880445))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Melanerpes formicivorus (Swainson, 1827)"
 ]
}

 The dataset includes 6090 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0167142-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a592vc
title: Occurrence Download

description: A dataset containing 1139 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Noccaea corymbosa (J.Gay) F.K.Mey."
 ]
}

 The dataset includes 1139 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0148909-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pb4rav
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kapalana durraween Berents & Lowry, 2018"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122093-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hc7dv3
title: Occurrence Download

description: A dataset containing 189288 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melanerpes rubricapillus (Cabanis, 1862)"
 ]
}

 The dataset includes 189288 records from 249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0167137-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5aeby5
title: Occurrence Download

description: A dataset containing 272 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alveopora allingi Hoffmeister, 1925"
 ]
}

 The dataset includes 272 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135104-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gf6hh
title: Occurrence Download

description: A dataset containing 106969 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Myristicaceae)"
 ]
}

 The dataset includes 106969 records from 584 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160906-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rukdgj
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ixanthus viscosus (Aiton) Griseb."
 ]
}

 The dataset includes 206 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122094-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqygfc
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alpheus cristatus Coutière, 1897"
 ]
}

 The dataset includes 36 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112163-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pd8rwx
title: Occurrence Download

description: A dataset containing 680 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Naccariaceae)"
 ]
}

 The dataset includes 680 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160920-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3kyfft
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Primula matthioli, Primula matthioli, Primula matthioli, Cortusa matthioli)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 317 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017587-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/5r8cho
title: 01_Hedi_Kyle_blizzard_box_template_01_tray

description: 01_Hedi_Kyle_blizzard_box_template_01_tray
DOI: 10.15468/dl.e3er5x
title: Occurrence Download

description: A dataset containing 52718 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helianthus tuberosus"
 ]
}

 The dataset includes 52718 records from 870 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017575-260129131611470/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.31286467
title: Estimating heritability of survival traits using censored multiple variance component model

description: Characterizing the genetic basis of survival traits, such as age at disease onset, is critical for risk stratification, early intervention, and elucidating biological mechanisms that can inform therapeutic development. However, time‐to‐event outcomes in human cohorts are frequently right‐censored, complicating both the estimation and partitioning of total heritability. Modern biobanks linked to electronic health records offer the unprecedented power to dissect the genetic basis of age-at-diagnosis traits at large scale. Yet, few methods exist for estimating and partitioning the total heritability of censored survival traits. Existing methods impose restrictive distributional assumptions on genetic and environmental effects and are not scalable to large biobanks with a million subjects. We introduce a censored multiple variance component model to robustly estimate the total heritability of survival traits under right-censoring. We demonstrate through extensive simulations that the method provides accurate total heritability estimates of right-censored traits at censoring rates up to $80\%$ given sufficient sample size. The method is computationally efficient in estimating one hundred genetic variance components of a survival trait using large-scale biobank genotype data consisting of a million subjects and a million SNPs in nine hours, including uncertainty quantification. We apply our method to estimate the total heritability of four age-at-diagnosis traits from the UK Biobank study. Our results establish a scalable and robust framework for heritability analysis of right-censored survival traits in large-scale genetic studies.
DOI: 10.6084/m9.figshare.31286467.v2
title: Estimating heritability of survival traits using censored multiple variance component model

description: Characterizing the genetic basis of survival traits, such as age at disease onset, is critical for risk stratification, early intervention, and elucidating biological mechanisms that can inform therapeutic development. However, time‐to‐event outcomes in human cohorts are frequently right‐censored, complicating both the estimation and partitioning of total heritability. Modern biobanks linked to electronic health records offer the unprecedented power to dissect the genetic basis of age-at-diagnosis traits at large scale. Yet, few methods exist for estimating and partitioning the total heritability of censored survival traits. Existing methods impose restrictive distributional assumptions on genetic and environmental effects and are not scalable to large biobanks with a million subjects. We introduce a censored multiple variance component model to robustly estimate the total heritability of survival traits under right-censoring. We demonstrate through extensive simulations that the method provides accurate total heritability estimates of right-censored traits at censoring rates up to $80\%$ given sufficient sample size. The method is computationally efficient in estimating one hundred genetic variance components of a survival trait using large-scale biobank genotype data consisting of a million subjects and a million SNPs in nine hours, including uncertainty quantification. We apply our method to estimate the total heritability of four age-at-diagnosis traits from the UK Biobank study. Our results establish a scalable and robust framework for heritability analysis of right-censored survival traits in large-scale genetic studies.