cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1379334.10fu
title: SH1379334.10FU

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/sh1379337.10fu
title: SH1379337.10FU

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/sh1379342.10fu
title: SH1379342.10FU

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/sh1379344.10fu
title: SH1379344.10FU

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/sh1379345.10fu
title: SH1379345.10FU

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/sh1379347.10fu
title: SH1379347.10FU

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/sh1379349.10fu
title: SH1379349.10FU

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: 10.5281/zenodo.18229334
title: photo-thermal
DOI: 10.5281/zenodo.18229335
title: photo-thermal
DOI: 10.6084/m9.figshare.31055418
title: Risk factors of venous thromboembolism in ICU patients: a systematic review and meta-analysis

description: This study aimed to identify risk factors associated with the development of VTE in patients admitted to the intensive care unit (ICU). A systematic literature search was conducted <i>via</i> PubMed, Embase, Web of Science, and Cochrane databases up to 25 April 2025, to identify studies examining the association between risk factors and the occurrence of venous thromboembolism (VTE) in ICU patients. Data were pooled using odds ratios (ORs) and 95% confidence intervals (CIs). A total of 2465 relevant studies were identified through the systematic search, of which 30 were included in the meta-analysis. The pooled data showed that the following were significant risk factors for venous thromboembolism (VTE) in ICU patients: central venous catheterization (OR = 2.67, 95% CI: 1.67–4.28; <i>I</i><sup>2</sup> = 28%), invasive mechanical ventilation (OR = 2.08, 95% CI: 1.46–2.96; <i>I</i><sup>2</sup> = 0%), advanced age (OR = 2.06, 95% CI: 1.28–3.31; <i>I</i><sup>2</sup> = 86%), length of ICU stay (OR = 4.24, 95% CI: 1.43–12.57; <i>I</i><sup>2</sup> = 98%), malignancy (OR = 2.30, 95% CI: 1.03–5.12; <i>I</i><sup>2</sup> = 67%), elevated D-dimer levels (OR = 2.46, 95% CI: 1.37–4.40; <i>I</i><sup>2</sup> = 34%), and a history of VTE (OR = 2.84, 95% CI: 1.45–5.55; <i>I</i><sup>2</sup> = 51%). According to the GRADE assessment, the quality of evidence was rated as moderate for invasive mechanical ventilation, low for central venous catheterization and D-dimer levels, and very low for the remaining factors. Invasive mechanical ventilation, central venous catheterization, and elevated D-dimer levels are associated with VTE risk, supported by relatively high-quality evidence. These findings may help identify ICU patients at higher risk of VTE, inform the development of risk assessment models for patient stratification, and ultimately contribute to improved prognosis through optimal screening and management strategies.
DOI: 10.6084/m9.figshare.31055418.v1
title: Risk factors of venous thromboembolism in ICU patients: a systematic review and meta-analysis

description: This study aimed to identify risk factors associated with the development of VTE in patients admitted to the intensive care unit (ICU). A systematic literature search was conducted <i>via</i> PubMed, Embase, Web of Science, and Cochrane databases up to 25 April 2025, to identify studies examining the association between risk factors and the occurrence of venous thromboembolism (VTE) in ICU patients. Data were pooled using odds ratios (ORs) and 95% confidence intervals (CIs). A total of 2465 relevant studies were identified through the systematic search, of which 30 were included in the meta-analysis. The pooled data showed that the following were significant risk factors for venous thromboembolism (VTE) in ICU patients: central venous catheterization (OR = 2.67, 95% CI: 1.67–4.28; <i>I</i><sup>2</sup> = 28%), invasive mechanical ventilation (OR = 2.08, 95% CI: 1.46–2.96; <i>I</i><sup>2</sup> = 0%), advanced age (OR = 2.06, 95% CI: 1.28–3.31; <i>I</i><sup>2</sup> = 86%), length of ICU stay (OR = 4.24, 95% CI: 1.43–12.57; <i>I</i><sup>2</sup> = 98%), malignancy (OR = 2.30, 95% CI: 1.03–5.12; <i>I</i><sup>2</sup> = 67%), elevated D-dimer levels (OR = 2.46, 95% CI: 1.37–4.40; <i>I</i><sup>2</sup> = 34%), and a history of VTE (OR = 2.84, 95% CI: 1.45–5.55; <i>I</i><sup>2</sup> = 51%). According to the GRADE assessment, the quality of evidence was rated as moderate for invasive mechanical ventilation, low for central venous catheterization and D-dimer levels, and very low for the remaining factors. Invasive mechanical ventilation, central venous catheterization, and elevated D-dimer levels are associated with VTE risk, supported by relatively high-quality evidence. These findings may help identify ICU patients at higher risk of VTE, inform the development of risk assessment models for patient stratification, and ultimately contribute to improved prognosis through optimal screening and management strategies.
DOI: 10.15156/bio/sh1379350.10fu
title: SH1379350.10FU

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/sh1379353.10fu
title: SH1379353.10FU

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.s4duw2
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006294-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdd7kn
title: Occurrence Download

description: A dataset containing 64269989 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 64269989 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028992-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mh3ve6
title: Occurrence Download

description: A dataset containing 1871427546 species occurrences available in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset includes 1871427546 records from 38190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008289-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.epmn4x
title: Occurrence Download

description: A dataset containing 103840 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus chamaemorus L."
 ]
}

 The dataset includes 103840 records from 382 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000069-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/368u-y7vb
title: Measurement of Inorganics in precipitation at Penausende

description: Measurement of Inorganics in precipitation at Penausende
DOI: 10.48597/pfd6-8ws8
title: Inorganics in precipitation at Penausende

description: Measurement of Inorganics in precipitation at Penausende
DOI: 10.48597/sdny-m3vs
title: Inorganics in precipitation at Zarra

description: Measurement of Inorganics in precipitation at Zarra
DOI: 10.48597/5gqb-z62d
title: Measurement of Inorganics in precipitation at Zarra

description: Measurement of Inorganics in precipitation at Zarra
DOI: 10.48597/d6vd-xacp
title: Measurement of Inorganics in precipitation at Barcarrota

description: Measurement of Inorganics in precipitation at Barcarrota
DOI: 10.48597/ekt6-ncxq
title: Inorganics in precipitation at Barcarrota

description: Measurement of Inorganics in precipitation at Barcarrota
DOI: 10.15468/dl.jek44w
title: Occurrence Download

description: A dataset containing 449805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Impatiens glandulifera Royle"
 ]
}

 The dataset includes 449805 records from 988 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000079-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/fby3-szcb
title: Inorganics in precipitation at Niembro

description: Measurement of Inorganics in precipitation at Niembro
DOI: 10.48597/y4b7-v7t2
title: Measurement of Inorganics in precipitation at Niembro

description: Measurement of Inorganics in precipitation at Niembro
DOI: 10.48597/5u4d-8f25
title: Measurement of Inorganics in precipitation at Barcarrota

description: Measurement of Inorganics in precipitation at Barcarrota
DOI: 10.48597/bzaf-jy23
title: Measurement of Inorganics in precipitation at Penausende

description: Measurement of Inorganics in precipitation at Penausende
DOI: 10.48597/d7sv-txvf
title: Measurement of Inorganics in precipitation at Niembro

description: Measurement of Inorganics in precipitation at Niembro
DOI: 10.48597/rfft-qcxa
title: Measurement of Inorganics in precipitation at Zarra

description: Measurement of Inorganics in precipitation at Zarra
DOI: 10.18112/openneuro.ds005291.v1.0.0
title: 65 By ANT
DOI: 10.5281/zenodo.10160332
title: Coexisting mechanisms of luminogenesis in pancreatic cancer-derived organoids

description: Source data and source code for "Coexisting mechanisms of luminogenesis in pancreatic cancer-derived organoids".
DOI: 10.5281/zenodo.11060358
title: Coexisting mechanisms of luminogenesis in pancreatic cancer-derived organoids

description: Source data and source code for "Coexisting mechanisms of luminogenesis in pancreatic cancer-derived organoids".
DOI: 10.5281/zenodo.12548000
title: Simulation results for "Localized statistics decoding: A parallel decoding algorithm for quantum low-density parity-check codes"

description: This dataset contains simulations results presented in the paper  "Localized statistics decoding: A parallel decoding algorithm for quantum low-density parity-check codes".

The files are in `csv` file format, with data easily processable using the python library `sinter`.
DOI: 10.5281/zenodo.12548001
title: Simulation results for "Localized statistics decoding: A parallel decoding algorithm for quantum low-density parity-check codes"

description: This dataset contains simulations results presented in the paper  "Localized statistics decoding: A parallel decoding algorithm for quantum low-density parity-check codes".

The files are in `csv` file format, with data easily processable using the python library `sinter`.
DOI: 10.15468/dl.wgbgmg
title: Occurrence Download

description: A dataset containing 4538 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chthamalus stellatus (Poli, 1791)"
 ]
}

 The dataset includes 4538 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000087-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3x4vp
title: Occurrence Download

description: A dataset containing 610 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Eustoma grandiflorum (Raf.) Shinners, Orius insidiosus (Say, 1832))"
 ]
}

 The dataset includes 610 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000088-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbgmnp
title: Occurrence Download

description: A dataset containing 103840 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus chamaemorus L."
 ]
}

 The dataset includes 103840 records from 382 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000082-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5zus4
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Specimen, Observation, Material sample)",
 "Geometry POLYGON((-25.71105 8.83981,-11.75179 8.83981,-11.75179 23.37546,-25.71105 23.37546,-25.71105 8.83981))",
 "HasGeospatialIssue is false",
 "Month is one of (May, June, July, August, September, October, January, February, March, April, November, December)",
 "TaxonKey is Halodule wrightii Asch."
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0281460-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8n7w5w
title: Occurrence Download

description: A dataset containing 11492 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Invertebrate collections, UiB"
 ]
}

 The dataset includes 11492 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000160-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdmpkx
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinus krempfii Lecomte)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289505-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.