cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ns92rf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gleditsia sinensis",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059127-250920141307145/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.30132356
title: Meaningful Movement: Understanding and Accessing Physical Activity Among People with Severe Mental Illness – A Photovoice Study

description: People with severe mental illness are less physically active than the general population and face higher risks of cardiovascular disease, obesity and diabetes. The aim of this study was to explore how people with severe mental illness understand physical activity and what barriers and facilitators they experience. Using the methods of photovoice and co-creation, we engaged people with severe mental illness as co-researchers. The data was analysed using reflexive thematic analysis. The method enabled participants to reconceptualise physical activity, thereby highlighting it as a socially embedded practice. A photovoice exhibition showcased our result and gave voice to the target group. The overarching theme of ‘Meaningful Movement’ described the ways in which physical activity is part of daily life, emotional well-being, embodied experience, social belonging and identity. Two themes, ‘Interaction with Other People’ and ‘Interaction with Nature and Animals’, showed the ways in which access to physical activity is shaped by complex environmental interactions. The participants described limited access to nature, animals, and nuanced understandings of physical activity during psychiatric hospitalisation. These structural barriers limit opportunities for people with severe mental illness to engage in physical activity and constrain professionals in providing person-centred care.
DOI: 10.6084/m9.figshare.30132356.v1
title: Meaningful Movement: Understanding and Accessing Physical Activity Among People with Severe Mental Illness – A Photovoice Study

description: People with severe mental illness are less physically active than the general population and face higher risks of cardiovascular disease, obesity and diabetes. The aim of this study was to explore how people with severe mental illness understand physical activity and what barriers and facilitators they experience. Using the methods of photovoice and co-creation, we engaged people with severe mental illness as co-researchers. The data was analysed using reflexive thematic analysis. The method enabled participants to reconceptualise physical activity, thereby highlighting it as a socially embedded practice. A photovoice exhibition showcased our result and gave voice to the target group. The overarching theme of ‘Meaningful Movement’ described the ways in which physical activity is part of daily life, emotional well-being, embodied experience, social belonging and identity. Two themes, ‘Interaction with Other People’ and ‘Interaction with Nature and Animals’, showed the ways in which access to physical activity is shaped by complex environmental interactions. The participants described limited access to nature, animals, and nuanced understandings of physical activity during psychiatric hospitalisation. These structural barriers limit opportunities for people with severe mental illness to engage in physical activity and constrain professionals in providing person-centred care.
DOI: 10.15468/dl.byhfwn
title: Occurrence Download

description: A dataset containing 1660 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Plethodon neomexicanus)"
 ]
}

 The dataset includes 1660 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059125-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1075506.10fu
title: SH1075506.10FU

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/sh1075510.10fu
title: SH1075510.10FU

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/sh1075511.10fu
title: SH1075511.10FU

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/sh1075513.10fu
title: SH1075513.10FU

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/sh1075515.10fu
title: SH1075515.10FU

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/sh1075516.10fu
title: SH1075516.10FU

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/sh1075520.10fu
title: SH1075520.10FU

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/sh1075522.10fu
title: SH1075522.10FU

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/sh1075524.10fu
title: SH1075524.10FU

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.jmktyd
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Material citation",
 "TaxonKey is Dictyota divaricata Lamouroux"
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071725-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbtyab
title: Occurrence Download

description: A dataset containing 18431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1951-2019",
 "TaxonKey is Polistes dominula (Christ, 1791)"
 ]
}

 The dataset includes 18431 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007688-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7nxdq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mordellistena multicicatrix Kangas, 1986)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042965-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzh9t5
title: Occurrence Download

description: A dataset containing 10032 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Desmarestiales",
 "Year 1980-2020"
 ]
}

 The dataset includes 10032 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0128547-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r43wt5
title: Occurrence Download

description: A dataset containing 2558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Soldanella pusilla Baumg., Soldanella rugosa Li Bing Zhang, Soldanella villosa Darracq, Soleirolia soleirolii (Req.) Dandy, Solenanthus apenninus (L.) Fisch. & C.A.Mey., Solenopsis annua (Greuter, Matthäs & Risse) Hand & Christodoulou, Solenopsis bivonae (Tineo) M.B.Crespo, Serra & Juan, Solenopsis corsica (Meikle) M.B.Crespo, Serra & Juan, Solenopsis laurentia (L.) C.Presl, Solenopsis minuta (L.) C.Presl)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "DatasetKey is one of (Pl@ntNet automatically identified occurrences, Pl@ntNet observations, iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, naturgucker, Artportalen (Swedish Species Observation System), Norwegian Species Observation Service, Programme d'observation naturaliste participative avec l'application mobile INPN Espèces - Application INPN Espèces: Observations naturalistes, participatives et opportunistes, fondées sur des photographies, Species recordings from the Danish National portal Arter.dk, Lajitietokeskus/FinBIF - Notebook, general observations, Vascular plant records verified via iRecord, iRecord Surveys)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 500",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 2558 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071004-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vosqet
title: Occurrence Download

description: A dataset containing 6142 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhea pennata d'Orbigny, 1834"
 ]
}

 The dataset includes 6142 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007606-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6228nw
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plecturocebus oenanthe (Thomas, 1924)"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134745-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bpvmrj
title: Occurrence Download

description: A dataset containing 19433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xanthium orientale L.",
 "HasCoordinate is true",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 19433 records from 238 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010077-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s2qhnr
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Amphibalanus amphitrite (Darwin, 1854)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 5 records were derived from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007596-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e2b8fm
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aotus nigriceps Dollman, 1909"
 ]
}

 The dataset includes 61 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134749-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78jhfv
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Colombia",
 "DatasetKey is one of (Herbario Nacional Colombiano (COL), Herbario Amazónico Colombiano)",
 "TaxonKey is Dichaea Lindl."
 ]
}

 The dataset includes 191 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071015-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7tk3o
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Amphibalanus amphitrite (Darwin, 1854)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 5 records were derived from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007597-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzy2ef
title: Occurrence Download

description: A dataset listing the 401 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Estudios bióticos: plantas, edafofauna epígea, anfibios y aves en los complejos de páramos los Nevados y Chilí-Barragán"
 ]
}

 The dataset's 401 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134754-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2tftze
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalaria jerokoensis Baker f."
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011897-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmm28z
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aconitum ambiguum Rchb."
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042966-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.