cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2t25xy
title: Occurrence Download

description: A dataset containing 842 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Halosydna brevisetosa Kinberg, 1856",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 842 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054046-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykczq8
title: Occurrence Download

description: A dataset containing 1127 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Thinornis novaeseelandiae (J.F.Gmelin, 1789)"
 ]
}

 The dataset includes 1127 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036841-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpgimc
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "HasCoordinate is true",
 "TaxonKey is Trapelus ruderatus (Olivier, 1804)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 222 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008773-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtdmny
title: Occurrence Download

description: A dataset containing 3293 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is geophilidae_of_south_eastern_alps"
 ]
}

 The dataset includes 3293 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039677-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76ajp2
title: Occurrence Download

description: A dataset containing 714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Conus leopardus (Röding, 1798)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 714 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047231-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3by2r
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dracaena cristula W.Bull"
 ]
}

 The dataset includes 201 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036844-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ytmhhf
title: Occurrence Download

description: A dataset containing 618706 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ichneumonidae"
 ]
}

 The dataset includes 618706 records from 528 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008776-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfgvpj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crepidium sumatrense (Ridl.) Szlach."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012747-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dikjkn
title: Occurrence Download

description: A dataset containing 445 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lissodelphis Gloger, 1841"
 ]
}

 The dataset includes 445 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008787-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udervm
title: Occurrence Download

description: A dataset containing 2375 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Ptilinopus rivoli (Prévost, 1843)"
 ]
}

 The dataset includes 2375 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036843-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpcr56
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptolepis microphylla Baill."
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012712-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrwuaa
title: Occurrence Download

description: A dataset containing 156521 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus ilex L."
 ]
}

 The dataset includes 156521 records from 1009 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039671-240506114902167/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.28776083
title: Supplementary Material for: Chair-rising power as digital biomarker: Validation against jumping power and chair rising-time in adults aged 32 to 92 years of age

description: Introduction
The Chair-rising Test (CRT) is being widely used to assess lower body power. The test provides valuable information about functional capacity and other health outcomes. However, most centers use timing-based outcomes, which may compromise its suitability in younger people and fitter geriatric patients, and which may also introduce confounding effects of body height. We therefore aimed to compare the traditional use of timing-based outcome with digitally assessed measurements of neuromuscular power.
Methods
Data were collected from a longitudinal population-based study that examined changes of muscle and bone health. CRT and jumping mechanography were performed on a ground reaction force plate. In 346 people (age: 32 to 92 years), chair-rising rate (fCRT) was manually assessed, and peak chair-rising power (PCRT) and jumping power (PJMG) were computed. Statistical analyses targeted breakpoints in the relationships between fCRT, PCRT and PJMG. Effects of age, body height and sex were assessed with linear and partial regression analyses.
Results 
Breakpoints were found at (fCRT = 0.778 Hz, PJMG= 35.2 Watt/kg, P&lt;0.001) and at (fCRT = 0.669 Hz, PCRT = 9.9Watt/kg, P&lt;0.001). Slow chair-risers, defined by fCRT &lt; 0.669 Hz, were older than fast chair-risers (P &lt; 0.001), albeit with largely overlapping age range (fast chair-risers: 32-90 years, slow chair-risers: 32-92 years). Body height was correlated with fCRT (P &lt; 0.001) and PCRT (P = 0.009), but not with PJMG (P = 0.59). 
Conclusion
Timing-based chair-rising test does not unequivocally reflect neuromuscular power. Its association with chair-rising power holds only in people who take more than 75 seconds for 5 stand-ups. For jumping power, the cutoff is at 6.4 seconds. Slow and fast chair-risers cannot be easily discerned by age. Bias by body height can substantially obscure age-effects in timing-based CRT assessments. We conclude that chair-rising power represents a more universally applicable biomarker and is less influenced by body height compared to timing-based chair-rising assessments.
DOI: 10.6084/m9.figshare.28776083.v1
title: Supplementary Material for: Chair-rising power as digital biomarker: Validation against jumping power and chair rising-time in adults aged 32 to 92 years of age

description: Introduction
The Chair-rising Test (CRT) is being widely used to assess lower body power. The test provides valuable information about functional capacity and other health outcomes. However, most centers use timing-based outcomes, which may compromise its suitability in younger people and fitter geriatric patients, and which may also introduce confounding effects of body height. We therefore aimed to compare the traditional use of timing-based outcome with digitally assessed measurements of neuromuscular power.
Methods
Data were collected from a longitudinal population-based study that examined changes of muscle and bone health. CRT and jumping mechanography were performed on a ground reaction force plate. In 346 people (age: 32 to 92 years), chair-rising rate (fCRT) was manually assessed, and peak chair-rising power (PCRT) and jumping power (PJMG) were computed. Statistical analyses targeted breakpoints in the relationships between fCRT, PCRT and PJMG. Effects of age, body height and sex were assessed with linear and partial regression analyses.
Results 
Breakpoints were found at (fCRT = 0.778 Hz, PJMG= 35.2 Watt/kg, P&lt;0.001) and at (fCRT = 0.669 Hz, PCRT = 9.9Watt/kg, P&lt;0.001). Slow chair-risers, defined by fCRT &lt; 0.669 Hz, were older than fast chair-risers (P &lt; 0.001), albeit with largely overlapping age range (fast chair-risers: 32-90 years, slow chair-risers: 32-92 years). Body height was correlated with fCRT (P &lt; 0.001) and PCRT (P = 0.009), but not with PJMG (P = 0.59). 
Conclusion
Timing-based chair-rising test does not unequivocally reflect neuromuscular power. Its association with chair-rising power holds only in people who take more than 75 seconds for 5 stand-ups. For jumping power, the cutoff is at 6.4 seconds. Slow and fast chair-risers cannot be easily discerned by age. Bias by body height can substantially obscure age-effects in timing-based CRT assessments. We conclude that chair-rising power represents a more universally applicable biomarker and is less influenced by body height compared to timing-based chair-rising assessments.
DOI: 10.15468/dl.j68b5x
title: Occurrence Download

description: A dataset containing 20448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Sweden",
 "DatasetKey is A global database for the distributions of crop wild relatives"
 ]
}

 The dataset includes 20448 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069449-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0190938.10fu
title: SH0190938.10FU

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/sh0190939.10fu
title: SH0190939.10FU

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/sh0190940.10fu
title: SH0190940.10FU

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/sh0190941.10fu
title: SH0190941.10FU

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/sh0190942.10fu
title: SH0190942.10FU

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/sh0190943.10fu
title: SH0190943.10FU

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/sh0190944.10fu
title: SH0190944.10FU

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/sh0190945.10fu
title: SH0190945.10FU

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/sh0190946.10fu
title: SH0190946.10FU

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.nxuex5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((77.893157 20.240043, 77.818302 20.234467, 77.745307 20.217877, 77.67598099999999 20.190684, 77.612043 20.153565, 77.555075 20.107439, 77.50648200000001 20.053449, 77.467457 19.992931, 77.438953 19.927383, 77.421663 19.858423, 77.41599600000001 19.787753, 77.422078 19.717114, 77.439744 19.648243, 77.46854500000001 19.582833, 77.507761 19.52249, 77.556421 19.468693, 77.61332299999999 19.42276, 77.677069 19.385815, 77.74609700000001 19.358761, 77.818718 19.34226, 77.893157 19.336714, 77.967596 19.34226, 78.040217 19.358761, 78.109245 19.385815, 78.172991 19.42276, 78.229893 19.468693, 78.278553 19.52249, 78.317769 19.582833, 78.34657 19.648243, 78.36423600000001 19.717114, 78.370318 19.787753, 78.36465099999999 19.858423, 78.34736100000001 19.927383, 78.31885699999999 19.992931, 78.279832 20.053449, 78.231239 20.107439, 78.174271 20.153565, 78.110333 20.190684, 78.04100699999999 20.217877, 77.968012 20.234467, 77.893157 20.240043))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001951-260108223611665/datasets/export for details.