cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0179068.10fu
title: SH0179068.10FU

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/sh0179069.10fu
title: SH0179069.10FU

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/sh0179070.10fu
title: SH0179070.10FU

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/sh0179071.10fu
title: SH0179071.10FU

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/sh0179072.10fu
title: SH0179072.10FU

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/sh0179073.10fu
title: SH0179073.10FU

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/sh0179074.10fu
title: SH0179074.10FU

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/sh0179075.10fu
title: SH0179075.10FU

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.7k5h3g
title: Occurrence Download

description: A dataset containing 981304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Filipendula ulmaria (L.) Maxim."
 ]
}

 The dataset includes 981304 records from 2070 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002088-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.84mz42
title: Occurrence Download

description: A dataset containing 532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Portugal)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (September, October, November)",
 "TaxonKey is Malpolon monspessulanus (Hermann, 1804)",
 "Year 2019-2022"
 ]
}

 The dataset includes 532 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037205-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43wgky
title: Occurrence Download

description: A dataset containing 1268639 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Coelogyne viscosa Rchb.f.",
 "TaxonKey is Plantae"
 ]
 },
 "TypeStatus is not null"
 ]
}

 The dataset includes 1268639 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007797-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yacdt9
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sinopodophyllum emodi (Wall. ex Honigberger) T.S.Ying"
 ]
}

 The dataset includes 193 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044731-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7w9p5a
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Keetia lukei Bridson"
 ]
}

 The dataset includes 33 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037194-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36hd8t
title: Occurrence Download

description: A dataset containing 867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "DatasetKey is Pl@ntNet automatically identified occurrences",
 "OccurrenceStatus is Present",
 "TaxonKey is Asplenium scolopendrium L."
 ]
}

 The dataset includes 867 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044733-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxvt59
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Nannofossil abundance of Hole 94-609B"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007797-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hd4emp
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ixia purpureorosea G.J.Lewis"
 ]
}

 The dataset includes 37 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037221-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4bwmzy
title: Occurrence Download

description: A dataset containing 78412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stellaria nemorum L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 78412 records from 554 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044732-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6u8uza
title: Occurrence Download

description: A dataset containing 10843 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cordyline Comm. ex R.Br.",
 "HasCoordinate is TRUE",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Literature Occurrence"
 ]
 }
 ]
}

 The dataset includes 10843 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007797-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87year
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lannea antiscorbutica (Hiern) Engl."
 ]
}

 The dataset includes 172 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037231-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43ygbz
title: Occurrence Download

description: A dataset containing 19048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Streptopus amplexifolius (L.) DC.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19048 records from 334 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044756-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ve3tgf
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Coilia nasus Temminck & Schlegel, 1846",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 38 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016564-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2yf5bc
title: Occurrence Download

description: A dataset containing 82990 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Globicephala melas (Traill, 1809), Grampus griseus (G.Cuvier, 1812), Hyperoodon ampullatus (Forster, 1770), Hyperoodon planifrons Flower, 1882, Indopacetus pacificus (Longman, 1926), Kogia breviceps (Blainville, 1838), Kogia sima (Owen, 1866), Lagenodelphis hosei Fraser, 1956, Lagenorhynchus acutus (Gray, 1828), Lagenorhynchus albirostris (Gray, 1846), Lagenorhynchus australis (Peale, 1848), Lagenorhynchus cruciger (Quoy & Gaimard, 1824), Lagenorhynchus obliquidens Gill, 1865)"
 ]
}

 The dataset includes 82990 records from 528 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044735-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17395289
title: Impact of Renal Function on Serum Neurofilament Light Chain Levels in Acute Ischemic Stroke Patients: An Observational Cohort Study

description: Introduction

This database includes the raw data linked with the paper “Impact of Renal Function on Serum Neurofilament Light Chain Levels in Acute Ischemic Stroke Patients: An Observational Cohort Study”.

Neurofilament light chain (NfL) is a sensitive biomarker of axonal injury with established prognostic value in acute ischemic stroke. However, circulating NfL concentrations can be influenced by renal function, potentially affecting their interpretability. This study aimed to investigate the impact of renal function on serum NfL levels in acute ischemic stroke patients and to identify clinical determinants influencing NfL dynamics in the early post-stroke phase.

Methods

In this prospective, single-center observational study, we enrolled 97 adult patients with radiologically confirmed acute ischemic stroke within 24 hours of onset, admitted to the IRCCS Mondino Foundation Stroke Unit (May 2022–August 2024). Serum NfL was quantified using the Ella™ automated immunoassay system at admission (T0), 5±3 days (T1), and 8±3 days (T2). Renal function was assessed by serum creatinine and estimated glomerular filtration rate (eGFR, CKD-EPI formula). Clinical variables included NIHSS at admission, vascular risk factors, and pre-stroke mRS. Linear mixed-effects models were used to evaluate longitudinal predictors of serum NfL, with time, eGFR, and stroke severity as fixed effects.

Results (in brief)

Serum NfL concentrations increased significantly over time after stroke onset (median 27.4 → 118 pg/mL from T0 to T2, p < 0.001). Lower eGFR was independently associated with higher NfL levels, with a 2.4% decrease in NfL for each unit increase in eGFR (p < 0.001). Time from onset and NIHSS score were additional independent predictors: NfL rose by 26% per day and 4% per NIHSS point. These findings indicate that renal function, stroke severity, and time since onset jointly influence serum NfL dynamics, underscoring the need to adjust for renal function when interpreting NfL levels in acute stroke.
DOI: 10.5281/zenodo.17395288
title: Impact of Renal Function on Serum Neurofilament Light Chain Levels in Acute Ischemic Stroke Patients: An Observational Cohort Study

description: Introduction

This database includes the raw data linked with the paper “Impact of Renal Function on Serum Neurofilament Light Chain Levels in Acute Ischemic Stroke Patients: An Observational Cohort Study”.

Neurofilament light chain (NfL) is a sensitive biomarker of axonal injury with established prognostic value in acute ischemic stroke. However, circulating NfL concentrations can be influenced by renal function, potentially affecting their interpretability. This study aimed to investigate the impact of renal function on serum NfL levels in acute ischemic stroke patients and to identify clinical determinants influencing NfL dynamics in the early post-stroke phase.

Methods

In this prospective, single-center observational study, we enrolled 97 adult patients with radiologically confirmed acute ischemic stroke within 24 hours of onset, admitted to the IRCCS Mondino Foundation Stroke Unit (May 2022–August 2024). Serum NfL was quantified using the Ella™ automated immunoassay system at admission (T0), 5±3 days (T1), and 8±3 days (T2). Renal function was assessed by serum creatinine and estimated glomerular filtration rate (eGFR, CKD-EPI formula). Clinical variables included NIHSS at admission, vascular risk factors, and pre-stroke mRS. Linear mixed-effects models were used to evaluate longitudinal predictors of serum NfL, with time, eGFR, and stroke severity as fixed effects.

Results (in brief)

Serum NfL concentrations increased significantly over time after stroke onset (median 27.4 → 118 pg/mL from T0 to T2, p < 0.001). Lower eGFR was independently associated with higher NfL levels, with a 2.4% decrease in NfL for each unit increase in eGFR (p < 0.001). Time from onset and NIHSS score were additional independent predictors: NfL rose by 26% per day and 4% per NIHSS point. These findings indicate that renal function, stroke severity, and time since onset jointly influence serum NfL dynamics, underscoring the need to adjust for renal function when interpreting NfL levels in acute stroke.