cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1123119.10fu
title: SH1123119.10FU

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/sh1123121.10fu
title: SH1123121.10FU

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/sh1123122.10fu
title: SH1123122.10FU

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/sh1123124.10fu
title: SH1123124.10FU

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/sh1123129.10fu
title: SH1123129.10FU

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/sh1123131.10fu
title: SH1123131.10FU

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/sh1123134.10fu
title: SH1123134.10FU

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/sh1123137.10fu
title: SH1123137.10FU

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.y2sxv4
title: Occurrence Download

description: A dataset containing 101420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Prunella vulgaris L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 101420 records from 522 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012853-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4dsf93
title: Occurrence Download

description: A dataset containing 5564835 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cygnus olor (J.F.Gmelin, 1789)"
 ]
}

 The dataset includes 5564835 records from 2311 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046691-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tuxsc7
title: Occurrence Download

description: A dataset containing 7388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.73864 57.27091,-5.7076 57.27091,-5.7076 57.29321,-5.73864 57.29321,-5.73864 57.27091))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7388 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004525-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6kkxr
title: Occurrence Download

description: A dataset containing 1607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dolichotis patagonum (Zimmermann, 1780)"
 ]
}

 The dataset includes 1607 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017757-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szysgp
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Perimyotis subflavus (F.Cuvier, 1832)"
 ]
}

 The dataset includes 100 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017758-250310093411724/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.27203075
title: Efficacy of lifting devices for wheelchair transfers: a systematic review and meta-analysis

description: A high prevalence of work-related musculoskeletal disorders (WMSDs) has been reported among nurses as a result of the injuries caused by patient transfer and handling. This review examines the impact of motorised and non-motorised lifting devices on reducing physical stress during wheelchair transfers among nurses. Systematic electronic database searches were performed, and the review was prepared according to the PRISMA guidelines. The results of 20 studies on biomechanical stresses related to WMSDs were synthesised qualitatively, and 13 were analysed quantitatively using meta-analysis. Motorised lifting devices significantly decreased biomechanical stress among nurses [SMD −0.68; 95% CI −1.02 to −0.34], whereas non-motorised counterparts showed no significant change [SMD − 0.23; 95% CI −0.59 to 0.13]. This study underscores the effectiveness of motorised lifting devices in mitigating WMSD risk during wheelchair transfers. The findings provide practical guidance for hospital administrators, policymakers, and experts seeking suitable devices to prevent WMSDs in nursing professionals. <b>Practitioner Summary:</b> This study investigated the impact of motorised and non-motorised lifting devices on nurses during wheelchair transfers. Findings revealed that motorised devices significantly reduce biomechanical stress, while non-motorised devices showed limited effectiveness. The research emphasises the superior role of motorised devices in preventing WMSDs during wheelchair transfers among nurses.
DOI: 10.6084/m9.figshare.27203075.v1
title: Efficacy of lifting devices for wheelchair transfers: a systematic review and meta-analysis

description: A high prevalence of work-related musculoskeletal disorders (WMSDs) has been reported among nurses as a result of the injuries caused by patient transfer and handling. This review examines the impact of motorised and non-motorised lifting devices on reducing physical stress during wheelchair transfers among nurses. Systematic electronic database searches were performed, and the review was prepared according to the PRISMA guidelines. The results of 20 studies on biomechanical stresses related to WMSDs were synthesised qualitatively, and 13 were analysed quantitatively using meta-analysis. Motorised lifting devices significantly decreased biomechanical stress among nurses [SMD −0.68; 95% CI −1.02 to −0.34], whereas non-motorised counterparts showed no significant change [SMD − 0.23; 95% CI −0.59 to 0.13]. This study underscores the effectiveness of motorised lifting devices in mitigating WMSD risk during wheelchair transfers. The findings provide practical guidance for hospital administrators, policymakers, and experts seeking suitable devices to prevent WMSDs in nursing professionals. <b>Practitioner Summary:</b> This study investigated the impact of motorised and non-motorised lifting devices on nurses during wheelchair transfers. Findings revealed that motorised devices significantly reduce biomechanical stress, while non-motorised devices showed limited effectiveness. The research emphasises the superior role of motorised devices in preventing WMSDs during wheelchair transfers among nurses.
DOI: 10.15468/dl.m67rpd
title: Occurrence Download

description: A dataset containing 687 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dolichotis patagonum (Zimmermann, 1780)"
 ]
}

 The dataset includes 687 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017759-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zy7z75
title: Occurrence Download

description: A dataset containing 1316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Australia",
 "OccurrenceStatus is Present",
 "TaxonKey is Dawsonia R.Br."
 ]
}

 The dataset includes 1316 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017761-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eegced
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-138.65746 58.30584,-134.21539 58.30584,-134.21539 63.74048,-138.65746 63.74048,-138.65746 58.30584))",
 "TaxonKey is Psila washingtona Melander, 1920"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017760-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15054275
title: SALMONELLYOZ QO'ZG'ATUVCHILARI TASNIFINING TARIXI VA HOZIRGI HOLATI
DOI: 10.5281/zenodo.15054276
title: SALMONELLYOZ QO'ZG'ATUVCHILARI TASNIFINING TARIXI VA HOZIRGI HOLATI
DOI: 10.15468/dl.sf7myk
title: Occurrence Download

description: A dataset containing 4545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen)",
 "TaxonKey is Macaca mulatta (Zimmermann, 1780)",
 "Year 1970-2025"
 ]
}

 The dataset includes 4545 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017762-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uqc7x
title: Occurrence Download

description: A dataset containing 3583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Colección de Reptiles del Museo de Zoología QCAZ, Colección Reptiles Instituto Sinchi, MBML-Repteis - Coleção de Répteis, Herpetology Collection - Instituto Nacional de Pesquisas da Amazônia, Occurrence dataset of reptiles and amphibians in primary forests of the Las Piedras River, Tambopata province, Peru, University of Michigan Museum of Zoology, Division of Reptiles & Amphibians, MUTPL Reptile Collection, Coleção Zoológica da Universidade Federal de Mato Grosso do Sul - Reptilia (ZUFMS-REP), MCP-Repteis - Coleção de Répteis)",
 "Geometry POLYGON((-89.50564 -53.33021,-31.93387 -53.33021,-31.93387 5.23825,-89.50564 5.23825,-89.50564 -53.33021))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (LC, DD, NT, VU, EN, CR)",
 "TaxonKey is Colubridae",
 "Year 2010-2025"
 ]
}

 The dataset includes 3583 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017763-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15053996
title: Troubleshooting WSIs for La Rissa
DOI: 10.5281/zenodo.15053997
title: Troubleshooting WSIs for La Rissa
DOI: 10.15468/dl.5hgrbs
title: Occurrence Download

description: A dataset containing 501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "TaxonKey is Thunbergia alata Bojer ex Sims"
 ]
}

 The dataset includes 501 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017765-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13860136
title: AIMD数据测试
DOI: 10.5281/zenodo.13860137
title: AIMD数据测试
DOI: 10.5281/zenodo.13869061
title: Subducted Water-Induced Diamond Genesis and Seismic Anomalies in Earth's Deep Lower Mantle

description: There the thermodynamic properties of dimond, FeH, FeO, pyrite-type FeOOH, phase H, Fe3C, MgSiO3, and elasticity of diamond,fcc FeH, FeOOH at mantle conditions.
DOI: 10.5281/zenodo.13869060
title: Subducted Water-Induced Diamond Genesis and Seismic Anomalies in Earth's Deep Lower Mantle

description: There the thermodynamic properties of dimond, FeH, FeO, pyrite-type FeOOH, phase H, Fe3C, MgSiO3, and elasticity of diamond,fcc FeH, FeOOH at mantle conditions.
DOI: 10.5281/zenodo.14903258
title: Evidence for Diamond and Ultra-Low Velocity Zone Formation in Earth's Deep Mantle: A First-Principles Study
DOI: 10.5281/zenodo.14903259
title: Subducted Water-Induced Diamond and ULVZs Genesis: Implications for Geophysical Properties in Earth's Deep Lower Mantle
DOI: 10.5281/zenodo.15050498
title: Evidence for Diamond and Ultra-Low Velocity Zone Formation in Earth's Deep Mantle: A First-Principles Study
DOI: 10.5281/zenodo.15054268
title: Evidence for Diamond and Ultra-Low Velocity Zone Formation in Earth's Deep Mantle: A First-Principles Study
DOI: 10.15468/dl.9asrbm
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Australia",
 "OccurrenceStatus is Present",
 "TaxonKey is Ditrichum Timm ex Hampe"
 ]
}

 The dataset includes 267 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017767-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ws9247
title: Occurrence Download

description: A dataset containing 33272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-173.85 54.36,-145.36 54.36,-145.36 64.72,-173.85 64.72,-173.85 54.36))",
 "HasCoordinate is true",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 33272 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017766-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m765q5
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Amalda lineata (Kiener, 1844)",
 "Year 1975-2025"
 ]
}

 The dataset includes 34 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017769-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztcjg2
title: Occurrence Download

description: A dataset containing 618693 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bonasa umbellus (Linnaeus, 1766)"
 ]
}

 The dataset includes 618693 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017756-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76784t
title: Occurrence Download

description: A dataset containing 4652886 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Kenya"
 ]
}

 The dataset includes 4652886 records from 1430 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017742-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.