cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15131/shef.data.29616974.v1
title: ‘What about me?’’ Rapid Scoping Review: Adults with learning disabilities living on the edge of support: what is it like and what needs to change in England and Wales? Supplementary Materials

description: <b>‘What about me?’’ Rapid Scoping Review: Adults with learning disabilities living on the edge of support: what is it like and what needs to change in England and Wales.</b>The files in this archive relate to part of a larger NIHR funded research project in the School of Education, The University of Sheffield, which explored the experiences of people with learning disabilities and teir informal carers when they are categorised by the Social Care system as in receipt of 'low level support'. 'Low level support' usually means support that is not funded directly, but offered voluntarily by family members, or friends, or charities and community hubs. The main part of this project was a qualitative analysis of interviews with people with learning disabilities and their informal carers, and this rapid review was intended as a means of scoping the literature to see what was already known and shared about the experience of these populations of people in England and Wales. The details of the search strategy, the full table summarising content and themes of the gathered papers, and the easy read version of the themes were too large in terms of word count and file size to add into the main body of the paper or as appendices, so we are adding them here.<br><b>This folder contains three items:</b><br>Details on the literature search strategy named as Appendix A of the Rapid ReviewThe table showing the details and initial finding of themes from the literature (named as appendix B in the Rapid Review)The easy read themes identified in the rapid review (named as appendix C in the Rapid Review).The Rapid review itself is shortly to be under review with an academic journal, and so is not included here. The journal article, once published, will offer links to the files archived within ORDA.<br>
DOI: 10.15468/dl.fy368w
title: Occurrence Download

description: A dataset containing 93672 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muscari comosum"
 ]
}

 The dataset includes 93672 records from 1445 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034796-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyhqdw
title: Occurrence Download

description: A dataset containing 272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Perisoreus infaustus (Linnaeus, 1758)",
 "DatasetKey is Observation.org, Nature data from around the World",
 "Country is one of (Germany, France, Spain, Portugal, Denmark, Austria, Italy, Switzerland, Greece, Poland, Hungary, Slovenia, Sweden, Norway, Slovakia, Montenegro, Croatia, North Macedonia, Serbia, Iceland, Ireland, United Kingdom of Great Britain and Northern Ireland, Albania, Bosnia and Herzegovina, Bulgaria)"
 ]
}

 The dataset includes 272 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154974-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fw46vb
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-117.9635191 35.0048425, -117.9617517 35.0335864, -117.9966992 35.0350362, -117.9984545 35.0062907, -117.9635191 35.0048425))",
 "TaxonKey is one of (Aves)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 34 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0173354-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98zred
title: Occurrence Download

description: A dataset containing 3866 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((92.24428 47.44607,92.28009 47.47293,92.25707 47.53432,92.22509 47.58676,92.19439 47.64304,92.13684 47.69675,92.07033 47.71594,91.98719 47.73257,91.94371 47.72361,91.96545 47.66734,92.02301 47.61362,92.05242 47.51386,92.07672 47.43839,92.09719 47.3284,92.13044 47.2798,92.18672 47.24398,92.24044 47.23887,92.24811 47.29386,92.22253 47.35526,92.16753 47.4013,92.24428 47.44607))"
 ]
}

 The dataset includes 3866 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0253682-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhv7k7
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Noccaea bulbosa (Spruner) Al-Shehbaz"
 ]
}

 The dataset includes 86 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155050-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rk495y
title: Occurrence Download

description: A dataset containing 205 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachygalaxias gothei Busse, 1983"
 ]
}

 The dataset includes 205 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0173318-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhggjb
title: Occurrence Download

description: A dataset containing 8944 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crassocephalum crepidioides (Benth.) S.Moore"
 ]
}

 The dataset includes 8944 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243478-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52qn26
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Noccaea papyracea (Boiss.) Khosravi, Mummenhoff & Mohsenzadeh"
 ]
}

 The dataset includes 72 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154975-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wj5gsh
title: Occurrence Download

description: A dataset containing 5424 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pongo pygmaeus (Linnaeus, 1760)"
 ]
}

 The dataset includes 5424 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243482-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykzerv
title: Occurrence Download

description: A dataset containing 3719 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydalis incisa (Thunb.) Pers."
 ]
}

 The dataset includes 3719 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0173325-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3yy6v
title: Occurrence Download

description: A dataset containing 205 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Noccaea ochroleuca (Boiss. & Heldr.) F.K.Mey."
 ]
}

 The dataset includes 205 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154977-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ac48ey
title: Occurrence Download

description: A dataset containing 86125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Ontario Breeding Bird Atlas 2001-2005, Great Backyard Bird Count, Ontario Breeding Bird Atlas 1981-1985, Marsh Monitoring Program - Birds, Marsh Monitoring Program - Amphibians)",
 "Geometry POLYGON((-78.806 44.04,-78.542 44.04,-78.542 44.35,-78.806 44.35,-78.806 44.04))",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 86125 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0173335-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7h8exv
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Noccaea microstyla (Boiss.) F.K.Mey."
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154990-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cey7mk
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pteris dissitifolia Baker"
 ]
}

 The dataset includes 57 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247474-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tt7kj7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-116.8181839 35.0773713, -116.8160101 35.1060583, -116.8509199 35.1078409, -116.8530816 35.079152, -116.8181839 35.0773713))",
 "TaxonKey is one of (Aves)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0173352-220831081235567/datasets/export for details.
DOI: 10.15468/dl.etd4g8
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Noccaea microphylla (Boiss. & Orph.) F.K.Mey."
 ]
}

 The dataset includes 55 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154992-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fseqjm
title: Occurrence Download

description: A dataset containing 6917 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bolitoglossa subpalmata (Boulenger, 1896)"
 ]
}

 The dataset includes 6917 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0173626-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hu4cc
title: Occurrence Download

description: A dataset containing 23954 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium latifolium L."
 ]
}

 The dataset includes 23954 records from 476 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0173336-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bfz6r
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dickinsia hydrocotyloides Franch."
 ]
}

 The dataset includes 219 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247475-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h84fnh
title: Occurrence Download

description: A dataset containing 22100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Mustela erminea Linnaeus, 1758"
 ]
}

 The dataset includes 22100 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0168929-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfuh5h
title: Occurrence Download

description: A dataset containing 320525 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "StateProvince is one of (putumayo department, putumayo, putumayo dept., putumayo, comisaria del)"
 ]
}

 The dataset includes 320525 records from 311 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0173317-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0172613.10fu
title: SH0172613.10FU

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/sh0172614.10fu
title: SH0172614.10FU

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/sh0172615.10fu
title: SH0172615.10FU

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/sh0172616.10fu
title: SH0172616.10FU

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/sh0172617.10fu
title: SH0172617.10FU

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/sh0172618.10fu
title: SH0172618.10FU

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/sh0172619.10fu
title: SH0172619.10FU

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/sh0172620.10fu
title: SH0172620.10FU

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/sh0172621.10fu
title: SH0172621.10FU

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.