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

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calocedrus rupestris Aver., Hiep & L.K.Phan"
 ]
}

 The dataset includes 31 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006623-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5hv6m
title: Occurrence Download

description: A dataset containing 2866 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is Different owner institution",
 "OccurrenceStatus is Present",
 "PublishingOrg is 64ee55c9-570a-42af-b7da-3f13c6b4e5a9"
 ]
}

 The dataset includes 2866 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006625-250310093411724/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.28588841
title: Photic-zone euxinia had a major role in the Devonian-Carboniferous boundary mass extinction

description: Sampling information and geochemical data of samples at the Longan section (Supplementary Dataset 1), Duli (Supplementary Dataset 2) and Jura Creek (Supplementary Dataset 3) sections.
DOI: 10.15468/dl.wapmst
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ximenia caffra Sond.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 125 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006626-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwp92z
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is Ambiguous collection",
 "OccurrenceStatus is Present",
 "PublishingOrg is 64ee55c9-570a-42af-b7da-3f13c6b4e5a9"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006627-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dnbx6
title: Occurrence Download

description: A dataset containing 6351 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acanthospermum hispidum DC."
 ]
}

 The dataset includes 6351 records from 357 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006628-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jgumdy
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is SWE.13.19_1",
 "Month is January",
 "OccurrenceStatus is Present",
 "TaxonKey is Chloris chloris (Linnaeus, 1758)",
 "Year 2025-2025"
 ]
}

 The dataset includes 81 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006629-250310093411724/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.28589029
title: Supplementary Material from What kinds of speeches motivate climate action?

description: Data Study 1.dta
DOI: 10.6084/m9.figshare.28589029.v1
title: Supplementary Material from What kinds of speeches motivate climate action?

description: Data Study 1.dta
DOI: 10.6084/m9.figshare.28589035
title: Supplementary Material from What kinds of speeches motivate climate action?

description: Data Study 2.dta
DOI: 10.6084/m9.figshare.28589035.v1
title: Supplementary Material from What kinds of speeches motivate climate action?

description: Data Study 2.dta
DOI: 10.6084/m9.figshare.28589038
title: Supplementary Material from What kinds of speeches motivate climate action?

description: Analysis.do
DOI: 10.6084/m9.figshare.28589038.v1
title: Supplementary Material from What kinds of speeches motivate climate action?

description: Analysis.do
DOI: 10.5281/zenodo.15017278
title: Nation-wide GWAS meta-analysis reveals new genetic locus for early-onset atrial fibrillation

description: Atrial fibrillation (AF) is a common cardiac arrhythmia affecting more than 40 million individuals worldwide. More than 100 genetic loci have been associated with AF in genome-wide association studies (GWAS) based on pooled, heterogeneous populations. However, less is known about population-specific genetic causes of AF and the molecular background of early-onset AF. In this study we aimed to identify population-specific genetic loci associated with AF in a meta-analysis of GWAS from 4 regional and 1 national population-based health-survey in Norway, and to explore the genetic contribution to early-onset AF.
DOI: 10.5281/zenodo.15017279
title: Nation-wide GWAS meta-analysis reveals new genetic locus for early-onset atrial fibrillation

description: Atrial fibrillation (AF) is a common cardiac arrhythmia affecting more than 40 million individuals worldwide. More than 100 genetic loci have been associated with AF in genome-wide association studies (GWAS) based on pooled, heterogeneous populations. However, less is known about population-specific genetic causes of AF and the molecular background of early-onset AF. In this study we aimed to identify population-specific genetic loci associated with AF in a meta-analysis of GWAS from 4 regional and 1 national population-based health-survey in Norway, and to explore the genetic contribution to early-onset AF.
DOI: 10.15468/dl.2dvbzs
title: Occurrence Download

description: A dataset containing 41929 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambrosia trifida L."
 ]
}

 The dataset includes 41929 records from 502 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006630-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2z9v6
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is Ambiguous institution",
 "OccurrenceStatus is Present",
 "PublishingOrg is 64ee55c9-570a-42af-b7da-3f13c6b4e5a9"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006632-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ap6gpw
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xanthocyparis vietnamensis Farjon & Hiep"
 ]
}

 The dataset includes 115 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006633-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6jmsw
title: Occurrence Download

description: A dataset containing 1136 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hagenomyia Banks, 1911"
 ]
}

 The dataset includes 1136 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006634-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rtabn
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is Recorded date unlikely",
 "OccurrenceStatus is Present",
 "PublishingOrg is 64ee55c9-570a-42af-b7da-3f13c6b4e5a9"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006635-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxeppt
title: Occurrence Download

description: A dataset containing 632 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is SWE.13.19_1",
 "Month is January",
 "TaxonKey is Chloris chloris (Linnaeus, 1758)",
 "Year 2020-2025"
 ]
}

 The dataset includes 632 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006636-250310093411724/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.28308869
title: Petrotogaceae

description: Supplementary materials for the chapter Petrotogaceae, Bergey's Manual.
DOI: 10.15468/dl.bwa4pa
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is Country invalid",
 "OccurrenceStatus is Present",
 "PublishingOrg is 64ee55c9-570a-42af-b7da-3f13c6b4e5a9"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006638-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezrbmb
title: Occurrence Download

description: A dataset containing 35613 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthemis cotula L."
 ]
}

 The dataset includes 35613 records from 1011 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006637-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2nh5t5
title: CCDC 2457457: Experimental Crystal Structure Determination

description: Related Article: Lingqiang Zeng|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nhvst
title: CCDC 2458107: Experimental Crystal Structure Determination

description: Related Article: Peng Xu|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nj4t5
title: CCDC 2458387: Experimental Crystal Structure Determination

description: Related Article: Dongjing Hong|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15156/bio/sh1091138.10fu
title: SH1091138.10FU

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/sh1091141.10fu
title: SH1091141.10FU

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/sh1091147.10fu
title: SH1091147.10FU

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/sh1091150.10fu
title: SH1091150.10FU

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/sh1091151.10fu
title: SH1091151.10FU

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/sh1091153.10fu
title: SH1091153.10FU

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/sh1091154.10fu
title: SH1091154.10FU

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/sh1091157.10fu
title: SH1091157.10FU

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/sh1091159.10fu
title: SH1091159.10FU

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/sh1091161.10fu
title: SH1091161.10FU

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.