cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fper64
title: Occurrence Download

description: A dataset containing 684537 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.57674 36.83304,-2.43279 36.83304,-2.43279 37.17087,-3.57674 37.17087,-3.57674 36.83304))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 684537 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123782-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9byxc
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba weberi R.A.Price & Rollins"
 ]
}

 The dataset includes 13 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062166-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmyjiu
title: Occurrence Download

description: A dataset containing 45569013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-82.44141 17.40234,-80.68359 17.05078,-98.61328 -14.23828,-86.66016 -56.77734,-77.87109 -62.05078,-47.63672 -56.77734,3.69141 -49.39453,-42.01172 18.80859,-82.44141 17.40234))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 45569013 records from 4236 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001066-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hweek
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galago senegalensis É.Geoffroy Saint-Hilaire, 1796",
 "Year 1970-2022"
 ]
}

 The dataset includes 229 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119630-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rq5sz6
title: Occurrence Download

description: A dataset containing 2575 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mauria Kunth"
 ]
}

 The dataset includes 2575 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0199081-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ayqbh
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alysicarpus monilifer (L.) DC.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 172 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035300-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7zsjk
title: Occurrence Download

description: A dataset containing 308749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Reynoutria japonica Houtt.",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is False",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is less than 180",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180"
 ]
}

 The dataset includes 308749 records from 935 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0424894-210914110416597/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.21921850
title: Italian reference values and brain correlates of verbal fluency index – <i>vs</i> standard verbal fluency test – to assess executive dysfunction in ALS

description: <i>Objectives:</i> In amyotrophic lateral sclerosis (ALS), verbal fluency index (V<i>fi</i>) is used to investigate fluency accounting for motor impairment. This study has three aims: (1) to provide V<i>fi</i> reference values from a cohort of Italian healthy subjects; (2) to assess the ability of V<i>fi</i> reference values (<i>vs</i> standard verbal fluency test [VFT]) in distinguishing ALS patients with and without executive dysfunction; and (3) to investigate the association between V<i>fi</i> and brain structural features of ALS patients. <i>Methods:</i> We included 180 healthy subjects and 157 ALS patients who underwent neuropsychological assessment, including VFT and V<i>fi</i>, and brain MRI. Healthy subjects were split into four subgroups according to sex and education. For each subgroup, we defined the 95th percentile of V<i>fi</i> as the cutoff. In ALS, the distributions of “abnormal” cases based on V<i>fi</i> and standard VFT cutoffs were compared using Fisher’s exact test. Using quantile regressions in patients, we assessed the association between V<i>fi</i> and VFT scores, separately, with gray matter volumes and white matter (WM) tract integrity. <i>Results:</i> Applying V<i>fi</i> and VFT cutoffs, 9 and 13% of ALS cases, respectively, had abnormal scores (<i>p</i> &lt; 0.001). In ALS, while higher V<i>fi</i> scores were associated with WM changes of callosal fibers linking supplementary motor area, lower VFT performances related to corticospinal tract alterations. <i>Discussion:</i> We provided Italian reference values for the spoken V<i>fi</i>. Compared to VFT, V<i>fi</i>s are critical to disentangle motor and cognitive deficits in ALS. In patients, abnormal V<i>fi</i>s were associated with damage to WM tracts specifically involved in ideational information processing.
DOI: 10.6084/m9.figshare.21921850.v1
title: Italian reference values and brain correlates of verbal fluency index – <i>vs</i> standard verbal fluency test – to assess executive dysfunction in ALS

description: <i>Objectives:</i> In amyotrophic lateral sclerosis (ALS), verbal fluency index (V<i>fi</i>) is used to investigate fluency accounting for motor impairment. This study has three aims: (1) to provide V<i>fi</i> reference values from a cohort of Italian healthy subjects; (2) to assess the ability of V<i>fi</i> reference values (<i>vs</i> standard verbal fluency test [VFT]) in distinguishing ALS patients with and without executive dysfunction; and (3) to investigate the association between V<i>fi</i> and brain structural features of ALS patients. <i>Methods:</i> We included 180 healthy subjects and 157 ALS patients who underwent neuropsychological assessment, including VFT and V<i>fi</i>, and brain MRI. Healthy subjects were split into four subgroups according to sex and education. For each subgroup, we defined the 95th percentile of V<i>fi</i> as the cutoff. In ALS, the distributions of “abnormal” cases based on V<i>fi</i> and standard VFT cutoffs were compared using Fisher’s exact test. Using quantile regressions in patients, we assessed the association between V<i>fi</i> and VFT scores, separately, with gray matter volumes and white matter (WM) tract integrity. <i>Results:</i> Applying V<i>fi</i> and VFT cutoffs, 9 and 13% of ALS cases, respectively, had abnormal scores (<i>p</i> &lt; 0.001). In ALS, while higher V<i>fi</i> scores were associated with WM changes of callosal fibers linking supplementary motor area, lower VFT performances related to corticospinal tract alterations. <i>Discussion:</i> We provided Italian reference values for the spoken V<i>fi</i>. Compared to VFT, V<i>fi</i>s are critical to disentangle motor and cognitive deficits in ALS. In patients, abnormal V<i>fi</i>s were associated with damage to WM tracts specifically involved in ideational information processing.
DOI: 10.6084/m9.figshare.21666505
title: A survey of current practice in genetic testing in amyotrophic lateral sclerosis in the UK and Republic of Ireland: implications for future planning

description: <i>Objective:</i> To determine the current practice in genetic testing for patients with apparently sporadic motor neurone disease/amyotrophic lateral sclerosis (MND/ALS) and asymptomatic at-risk relatives of familial MND/ALS patients seen in specialized care centers in the UK. <i>Methods:</i> An online survey with 10 questions distributed to specialist healthcare professionals with a role in requesting genetic testing working at MND/ALS care centers. <i>Results:</i> Considerable variation in practice was found. Almost 30% of respondents reported some discomfort in discussing genetic testing with MND/ALS patients and a majority (77%) did not think that all patients with apparently sporadic disease should be routinely offered genetic testing at present. Particular concerns were identified in relation to testing asymptomatic at-risk individuals and the majority view was that clinical genetics services should have a role in supporting genetic testing in MND/ALS, especially in asymptomatic individuals at-risk of carrying pathogenic variants. <i>Conclusions:</i> Variation in practice in genetic testing among MND/ALS clinics may be driven by differences in experience and perceived competence, compounded by the increasing complexity of the genetic underpinnings of MND/ALS. Clear and accessible guidelines for referral pathways between MND/ALS clinics and clinical genetics may be the best way to standardize and improve current practice, ensuring that patients and relatives receive optimal and geographically equitable support.
DOI: 10.6084/m9.figshare.21666505.v1
title: A survey of current practice in genetic testing in amyotrophic lateral sclerosis in the UK and Republic of Ireland: implications for future planning

description: <i>Objective:</i> To determine the current practice in genetic testing for patients with apparently sporadic motor neurone disease/amyotrophic lateral sclerosis (MND/ALS) and asymptomatic at-risk relatives of familial MND/ALS patients seen in specialized care centers in the UK. <i>Methods:</i> An online survey with 10 questions distributed to specialist healthcare professionals with a role in requesting genetic testing working at MND/ALS care centers. <i>Results:</i> Considerable variation in practice was found. Almost 30% of respondents reported some discomfort in discussing genetic testing with MND/ALS patients and a majority (77%) did not think that all patients with apparently sporadic disease should be routinely offered genetic testing at present. Particular concerns were identified in relation to testing asymptomatic at-risk individuals and the majority view was that clinical genetics services should have a role in supporting genetic testing in MND/ALS, especially in asymptomatic individuals at-risk of carrying pathogenic variants. <i>Conclusions:</i> Variation in practice in genetic testing among MND/ALS clinics may be driven by differences in experience and perceived competence, compounded by the increasing complexity of the genetic underpinnings of MND/ALS. Clear and accessible guidelines for referral pathways between MND/ALS clinics and clinical genetics may be the best way to standardize and improve current practice, ensuring that patients and relatives receive optimal and geographically equitable support.
DOI: 10.15468/dl.fbmuqp
title: Occurrence Download

description: A dataset containing 788873 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium L."
 ]
}

 The dataset includes 788873 records from 1359 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086619-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0214175.10fu
title: SH0214175.10FU

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/sh0214176.10fu
title: SH0214176.10FU

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/sh0214177.10fu
title: SH0214177.10FU

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/sh0214178.10fu
title: SH0214178.10FU

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/sh0214179.10fu
title: SH0214179.10FU

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/sh0214180.10fu
title: SH0214180.10FU

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/sh0214181.10fu
title: SH0214181.10FU

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/sh0214182.10fu
title: SH0214182.10FU

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/sh0214183.10fu
title: SH0214183.10FU

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/sh0214184.10fu
title: SH0214184.10FU

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.