cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wdeh2a
title: Occurrence Download

description: A dataset containing 44115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Karenia brevis (C.C.Davis) G.Hansen & Ø.Moestrup, 2000"
 ]
}

 The dataset includes 44115 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030987-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9yn5x3
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heliconia meridensis Klotzsch"
 ]
}

 The dataset includes 47 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239634-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.289xdg
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Dendrolimus Germar, 1812"
 ]
}

 The dataset includes 64 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010345-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x44yf3
title: Occurrence Download

description: A dataset containing 235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tilia henryana Szyszyl."
 ]
}

 The dataset includes 235 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069422-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11569374
title: Whatsapp Compressed CXR images

description: Dataset containing whatsapp compresse images  originally taken from NIH.
DOI: 10.5281/zenodo.11569375
title: Whatsapp Compressed CXR images

description: Dataset containing whatsapp compresse images  originally taken from NIH.
DOI: 10.15468/dl.a7wxg2
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hibiscus acetosella Welw. ex Ficalho"
 ]
}

 The dataset includes 277 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242382-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vb9s9f
title: Occurrence Download

description: A dataset containing 23030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Obelia longissima (Pallas, 1766), Obelia geniculata (Linnaeus, 1758), Aequorea coerulescens (Brandt, 1835), Aequorea victoria (Murbach & Shearer, 1902), Nanomia cara Agassiz, 1865, Nanomia bijuga (Delle Chiaje, 1844), Pelagia noctiluca (Forsskål, 1775), Catalaphyllia jardinei (Saville-Kent, 1893), Heteractis crispa (Hemprich & Ehrenberg, 1834), Renilla reniformis (Pallas, 1766), Haeckelia rubra (Kölliker, 1853), Hormiphora plumosa M.Sars, 1859, Euplokamis dunlapae Mills, 1987, Beroe forskalii Milne Edwards, 1841, Pleurobrachia pileus (O.F.Müller, 1776), Mnemiopsis leidyi A.Agassiz, 1865)"
 ]
}

 The dataset includes 23030 records from 270 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031000-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wan4jd
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heliconia impudica Abalo & G.Morales"
 ]
}

 The dataset includes 103 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239593-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mp4mm
title: Occurrence Download

description: A dataset containing 454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Micropus supinus L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 454 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069420-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rr2kzc
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-4.9903 37.60933,-6.03721 37.17776,-6.51129 36.75162,-6.44215 36.37879,-5.87919 36.00416,-5.42487 35.99617,-4.73351 36.39469,-4.70388 37.22496,-4.9903 37.60933))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cytisus tribracteolatus Webb"
 ]
}

 The dataset includes 11 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010041-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3u6k9
title: Occurrence Download

description: A dataset containing 614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "Geometry POLYGON((174.71999 -36.89151,174.72118 -36.89151,174.72118 -36.8906,174.71999 -36.8906,174.71999 -36.89151))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 614 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240342-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3uutvt
title: Occurrence Download

description: A dataset containing 783 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heliconia metallica Planch. & Linden ex Hook."
 ]
}

 The dataset includes 783 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239635-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ntqmph
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heterotheca mexicana V.L.Harms ex B.L.Turner"
 ]
}

 The dataset includes 36 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242211-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbkcch
title: Occurrence Download

description: A dataset containing 375 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chaerephon major (Trouessart, 1897)"
 ]
}

 The dataset includes 375 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010622-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52dtr4
title: Occurrence Download

description: A dataset containing 1031 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helonias bullata L."
 ]
}

 The dataset includes 1031 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240345-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwpd9j
title: Occurrence Download

description: A dataset containing 65071 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Serjania Mill."
 ]
}

 The dataset includes 65071 records from 528 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022268-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1119180.10fu
title: SH1119180.10FU

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: 10.6084/m9.figshare.31043038
title: Is exercise a medicine provided by digital therapeutics for people with NCDs? A scoping review protocol

description: Physical activity is widely recognised as effective in preventing and managing non-communicable diseases (NCDs). Digital health innovations can facilitate the delivery of physical exercise programs for this population. Digital therapeutics (DTx) could transform healthcare delivery, including how digital exercise therapy is provided. We aim to perform a scoping review to systematically explore whether and how exercise is provided by DTx for preventing and managing NCDs. This protocol follows the Joanna Briggs Institute (JBI) methodology for scoping reviews and is reported according to JBI best practice guidance. A comprehensive search strategy will be performed in MEDLINE, CINAHL, Cochrane, PEDro and Google to identify existing DTx for preventing and treating NCDs, and which of those provide exercise therapy as intervention. Key data of the included studies will be charted descriptively and supplemented by summary tables. This scoping review does not require ethics review and approval. Our target audience for this review will be DTx manufacturers, health policy makers, clinicians, researchers, patients and other relevant stakeholders, in order to highlight gaps and potential of physical exercise provided by DTx. Results will be disseminated through peer-reviewed publications, online platforms and conference presentations. https://osf.io/fyqt8 Our review holds particular relevance for both the rehabilitation science and digital health fields. Digital therapeutics (DTx) are evidence-based, software-driven interventions designed to prevent, manage, or treat medical conditions. Comprehensive rehabilitation is essential for enhancing the wellbeing of individuals with chronic health conditions, and its efficacy in managing NCDs is well-established. By mapping the extent and nature of exercise provision within digital therapeutics, we aim to identify gaps and opportunities for future development and implementation.
DOI: 10.6084/m9.figshare.31043038.v1
title: Is exercise a medicine provided by digital therapeutics for people with NCDs? A scoping review protocol

description: Physical activity is widely recognised as effective in preventing and managing non-communicable diseases (NCDs). Digital health innovations can facilitate the delivery of physical exercise programs for this population. Digital therapeutics (DTx) could transform healthcare delivery, including how digital exercise therapy is provided. We aim to perform a scoping review to systematically explore whether and how exercise is provided by DTx for preventing and managing NCDs. This protocol follows the Joanna Briggs Institute (JBI) methodology for scoping reviews and is reported according to JBI best practice guidance. A comprehensive search strategy will be performed in MEDLINE, CINAHL, Cochrane, PEDro and Google to identify existing DTx for preventing and treating NCDs, and which of those provide exercise therapy as intervention. Key data of the included studies will be charted descriptively and supplemented by summary tables. This scoping review does not require ethics review and approval. Our target audience for this review will be DTx manufacturers, health policy makers, clinicians, researchers, patients and other relevant stakeholders, in order to highlight gaps and potential of physical exercise provided by DTx. Results will be disseminated through peer-reviewed publications, online platforms and conference presentations. https://osf.io/fyqt8 Our review holds particular relevance for both the rehabilitation science and digital health fields. Digital therapeutics (DTx) are evidence-based, software-driven interventions designed to prevent, manage, or treat medical conditions. Comprehensive rehabilitation is essential for enhancing the wellbeing of individuals with chronic health conditions, and its efficacy in managing NCDs is well-established. By mapping the extent and nature of exercise provision within digital therapeutics, we aim to identify gaps and opportunities for future development and implementation.
DOI: 10.15156/bio/sh1119182.10fu
title: SH1119182.10FU

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/sh1119183.10fu
title: SH1119183.10FU

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/sh1119186.10fu
title: SH1119186.10FU

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/sh1119188.10fu
title: SH1119188.10FU

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/sh1119189.10fu
title: SH1119189.10FU

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/sh1119191.10fu
title: SH1119191.10FU

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/sh1119192.10fu
title: SH1119192.10FU

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/sh1119196.10fu
title: SH1119196.10FU

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.