cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yec642
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hesperis kotschyi Boiss."
 ]
}

 The dataset includes 25 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062895-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111154238
title: List (PNs with unknown quantities), KTU 4.170

description: [Text or Publication Number Note:] KTU 4.170, KTU2 4.170, KTU3 4.170, CTU 4.170, CAT 4.170 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.44sdvp
title: Occurrence Download

description: A dataset containing 5505982 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 5505982 records from 2554 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030055-231120084113126/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.29375153
title: <b>PREVENT-TAHA8 Study Dataset: Prevention of Acute Myocardial Infarction-Induced Heart Failure by Intracoronary Infusion of Mesenchymal Stem Cells: A Phase III Randomized Clinical Trial</b>

description: Recent meta-analyses of clinical trials have indicated that stem cell therapy may reduce the incidence of heart failure (HF) following acute myocardial infarction (AMI). However, no clinical trials have directly investigated this question.<i> </i>The PREVENT-TAHA8 trial is a multicenter, single-blinded, randomized, and superiority phase III trial. Patients with first ST-elevation AMI and a left ventricular ejection fraction (LVEF) below 40% were enrolled and randomized in a 1:2 ratio (intervention to control) to receive either an intracoronary infusion of allogenic Wharton’s jelly-derived mesenchymal stem cells (WJ-MSCs) within 3-7 days post-AMI or standard care. The primary endpoint was rehospitalization due to HF. Secondary endpoints included all-cause mortality, cardiovascular mortality, and rehospitalization due to myocardial infarction (MI). To the best of our knowledge, this is the largest trial in regenerative cardiology involving AMI patients and the only one using mesenchymal stem cells (MSCs) with clinical endpoints, as opposed to surrogate markers such as LVEF. Intracoronary infusion of WJ-MSCs significantly reduced the risk of rehospitalization due to HF, as well as the composite endpoint of mortality and rehospitalization due to HF or MI, in patients following AMI, suggesting that this technique may serve as a valuable adjunctive procedure for post-MI patients to prevent the development of HF and reduce the risk of future adverse events.<b>Trial Registration:</b> The PREVENT-TAHA8 clinical trial is registered on ClinicalTrials.gov under the identifier NCT05043610. Detailed information about the trial can be accessed at https://clinicaltrials.gov/ct2/show/NCT05043610.
DOI: 10.6084/m9.figshare.29375153.v2
title: <b>PREVENT-TAHA8 Study Dataset: Prevention of Acute Myocardial Infarction-Induced Heart Failure by Intracoronary Infusion of Mesenchymal Stem Cells: A Phase III Randomized Clinical Trial</b>

description: Recent meta-analyses of clinical trials have indicated that stem cell therapy may reduce the incidence of heart failure (HF) following acute myocardial infarction (AMI). However, no clinical trials have directly investigated this question.<i> </i>The PREVENT-TAHA8 trial is a multicenter, single-blinded, randomized, and superiority phase III trial. Patients with first ST-elevation AMI and a left ventricular ejection fraction (LVEF) below 40% were enrolled and randomized in a 1:2 ratio (intervention to control) to receive either an intracoronary infusion of allogenic Wharton’s jelly-derived mesenchymal stem cells (WJ-MSCs) within 3-7 days post-AMI or standard care. The primary endpoint was rehospitalization due to HF. Secondary endpoints included all-cause mortality, cardiovascular mortality, and rehospitalization due to myocardial infarction (MI). To the best of our knowledge, this is the largest trial in regenerative cardiology involving AMI patients and the only one using mesenchymal stem cells (MSCs) with clinical endpoints, as opposed to surrogate markers such as LVEF. Intracoronary infusion of WJ-MSCs significantly reduced the risk of rehospitalization due to HF, as well as the composite endpoint of mortality and rehospitalization due to HF or MI, in patients following AMI, suggesting that this technique may serve as a valuable adjunctive procedure for post-MI patients to prevent the development of HF and reduce the risk of future adverse events.<b>Trial Registration:</b> The PREVENT-TAHA8 clinical trial is registered on ClinicalTrials.gov under the identifier NCT05043610. Detailed information about the trial can be accessed at https://clinicaltrials.gov/ct2/show/NCT05043610.
DOI: 10.6084/m9.figshare.29375153.v1
title: <b>PREVENT-TAHA8 study Dataset: Prevention of Acute Myocardial Infarction-Induced Heart Failure by Intracoronary Infusion of Mesenchymal Stem Cells: A Phase III Randomized Clinical Trial </b>

description: Recent meta-analyses of clinical trials have indicated that stem cell therapy may reduce the incidence of heart failure (HF) following acute myocardial infarction (AMI). However, no clinical trials have directly investigated this question.<i> </i>The PREVENT-TAHA8 trial is a multicenter, single-blinded, randomized, and superiority phase III trial. Patients with first ST-elevation AMI and a left ventricular ejection fraction (LVEF) below 40% were enrolled and randomized in a 1:2 ratio (intervention to control) to receive either an intracoronary infusion of allogenic Wharton’s jelly-derived mesenchymal stem cells (WJ-MSCs) within 3-7 days post-AMI or standard care. The primary endpoint was rehospitalization due to HF. Secondary endpoints included all-cause mortality, cardiovascular mortality, and rehospitalization due to myocardial infarction (MI). To the best of our knowledge, this is the largest trial in regenerative cardiology involving AMI patients and the only one using mesenchymal stem cells (MSCs) with clinical endpoints, as opposed to surrogate markers such as LVEF. Intracoronary infusion of WJ-MSCs significantly reduced the risk of rehospitalization due to HF, as well as the composite endpoint of mortality and rehospitalization due to HF or MI, in patients following AMI, suggesting that this technique may serve as a valuable adjunctive procedure for post-MI patients to prevent the development of HF and reduce the risk of future adverse events.<b>Trial Registration:</b> The PREVENT-TAHA8 clinical trial is registered on ClinicalTrials.gov under the identifier NCT05043610. Detailed information about the trial can be accessed at https://clinicaltrials.gov/ct2/show/NCT05043610.
DOI: 10.15468/dl.ar4iyu
title: Occurrence Download

description: A dataset containing 1232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Salvia fruticosa Mill.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1232 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012268-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bv8mnj
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hipparchia autonoe Esper, 1783",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 318 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068031-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e25gha
title: Occurrence Download

description: A dataset containing 33437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salmo salar Linnaeus, 1758",
 "Year 2000-2020"
 ]
}

 The dataset includes 33437 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110680-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vqour
title: Occurrence Download

description: A dataset containing 638 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthus nilghiriensis Sharpe, 1885"
 ]
}

 The dataset includes 638 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022805-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mcr5s6
title: Occurrence Download

description: A dataset containing 823035 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ghana"
 ]
}

 The dataset includes 823035 records from 835 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068030-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.su8e3a
title: Occurrence Download

description: A dataset containing 554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((74.25076 31.45386,74.35375 31.47446,74.45623 31.44905,74.49778 31.49334,74.50344 31.55067,74.50361 31.59565,74.45881 31.61659,74.44868 31.61453,74.35152 31.60767,74.29831 31.59119,74.25608 31.54552,74.25196 31.539,74.23685 31.50776,74.23513 31.49883,74.23067 31.47789,74.25076 31.45386))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC0 1.0",
 "OccurrenceStatus is Present",
 "Year 2015-2020"
 ]
}

 The dataset includes 554 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127806-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lpjp53
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Viet Nam",
 "TaxonKey is Macrothelypteris torresiana (Gaudich.) Ching"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012267-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mutxqn
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erebia wanga Bremer, 1864",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 167 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068021-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6x9xx6
title: Occurrence Download

description: A dataset containing 211731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is University of Michigan Museum of Zoology, Division of Birds"
 ]
}

 The dataset includes 211731 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0118647-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpty9l
title: Occurrence Download

description: A dataset containing 304112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Rubus idaeus L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 304112 records from 398 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012221-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8ugpf
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Kenya",
 "TaxonKey is Tuta absoluta (Meyrick, 1917)"
 ]
}

 The dataset includes 177 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068037-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kh95hh
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Eleocharis densa Benth."
 ]
}

 The dataset includes 314 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002405-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6t7r3k
title: Occurrence Download

description: A dataset containing 435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hestina persimilis (Westwood)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 435 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068029-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3ddso
title: Occurrence Download

description: A dataset containing 66684 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juglans regia L."
 ]
}

 The dataset includes 66684 records from 516 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012237-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1058260.10fu
title: SH1058260.10FU

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/sh1058261.10fu
title: SH1058261.10FU

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/sh1058262.10fu
title: SH1058262.10FU

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/sh1058264.10fu
title: SH1058264.10FU

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/sh1058269.10fu
title: SH1058269.10FU

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/sh1058270.10fu
title: SH1058270.10FU

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/sh1058272.10fu
title: SH1058272.10FU

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.