cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1731035.08fu
title: SH1731035.08FU

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/sh1731036.08fu
title: SH1731036.08FU

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/sh1731037.08fu
title: SH1731037.08FU

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/sh365996.07fu
title: SH365996.07FU

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/sh365997.07fu
title: SH365997.07FU

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/sh1731038.08fu
title: SH1731038.08FU

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/sh1731039.08fu
title: SH1731039.08FU

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.74a8f8
title: Occurrence Download

description: A dataset containing 33179 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litoria aurea (Lesson, 1829)"
 ]
}

 The dataset includes 33179 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013232-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpyyoo
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cochlearia officinalis L.",
 "Country is Belgium",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 97 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000377-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gx49be
title: Occurrence Download

description: A dataset containing 468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pseudopaludicola pusilla (Ruthven, 1916)",
 "Year 1971-2021"
 ]
}

 The dataset includes 468 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296676-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6e9ev
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bagrichthys macracanthus (Bleeker, 1854)"
 ]
}

 The dataset includes 47 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051949-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppsmba
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Tephrocactus halophilus (Speg.) Backeb.",
 "TaxonKey is Tephrocactus molinensis (Speg.) Backeb.",
 "TaxonKey is Tephrocactus weberi (Speg.) Backeb.",
 "TaxonKey is Trichocereus andalgalensis (F.A.C.Weber ex K.Schum.) Hosseus",
 "TaxonKey is Trichocereus angelesii R.Kiesling",
 "TaxonKey is Trichocereus ×cabrerae R.Kiesling"
 ]
 }
 ]
}

 The dataset includes 220 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073836-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.om9hcg
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "HasCoordinate is true",
 "TaxonKey is Conepatus semistriatus (Boddaert, 1785)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000377-170925132151566/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xgv95q
title: Occurrence Download

description: A dataset containing 50758 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anura"
 ]
}

 The dataset includes 50758 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013233-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j7wq96
title: Occurrence Download

description: A dataset containing 10925 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Observation"
 ]
 },
 "Geometry POLYGON((-42.31933 -57.80127,-31.80762 -57.80127,-31.80762 -50.73486,-42.31933 -50.73486,-42.31933 -57.80127))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Geodetic datum assumed WGS84",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 10925 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0312157-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6kvxsb
title: Occurrence Download

description: A dataset containing 8063 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.53456 36.91599,-5.32952 36.91599,-5.32952 37.89322,-7.53456 37.89322,-7.53456 36.91599))",
 "HasCoordinate is true",
 "TaxonKey is Thymus mastichina (L.) L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8063 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000378-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9p8gh
title: Occurrence Download

description: A dataset containing 1336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Myrmecophaga tridactyla Linnaeus, 1758"
 ]
}

 The dataset includes 1336 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073843-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wu7b5x
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Elaphoglossum schwackeanum Brade"
 ]
}

 The dataset includes 18 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240321-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucqnsw
title: Occurrence Download

description: A dataset containing 431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((18.297 -34.358,18.51 -34.358,18.51 -33.909,18.297 -33.909,18.297 -34.358))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Leucadendron salignum R.Br.",
 "TaxonKey is Leucadendron salignum P.J.Bergius",
 "TaxonKey is Leucadendron salignum var. longifolium Meisn."
 ]
 }
 ]
}

 The dataset includes 431 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037417-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uyxrff
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diplotaxis inopinata Sprague"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046220-220831081235567/datasets/export for details.
DOI: 10.15468/dl.pvwf6m
title: Occurrence Download

description: A dataset containing 440 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aptinus bombarda (Illiger, 1800)"
 ]
}

 The dataset includes 440 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051951-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jd4gyq
title: Occurrence Download

description: A dataset containing 10937534 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Colombia"
 ]
}

 The dataset includes 10937534 records from 2527 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073855-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc26jb47
title: CCDC 2041478: Experimental Crystal Structure Determination

description: Related Article: Ranjit Bag, Rini Prakash, Suvam Saha, Thierry Roisnel, Sundargopal Ghosh|2021|Inorg.Chem.|60|3524|doi:10.1021/acs.inorgchem.0c03411
DOI: 10.5517/ccdc.csd.cc26kqm4
title: CCDC 2042826: Experimental Crystal Structure Determination

description: Related Article: Atanu Jana, Masatoshi Ishida, Hiroyuki Furuta|2021|Chem.-Eur.J.|27|4466|doi:10.1002/chem.202005021
DOI: 10.6084/m9.figshare.14095569
title: Economic costs of accessing TB diagnostic services in Malawi: an analysis of patient costs from a randomised controlled trial of computer-aided chest x-ray interpretation.

description: The files entail the data and the code needed to conduct an analysis of patients costs from a randomised controlled trial of computer-aided chest X-Ray interpretation in Blantyre, Malawi. The questionnaires used are also included.<br><br>Ethical approval for the collection of this data and study was granted. Additionally, all participants provided written informed consent. If illiterate, participants were asked to provide a witness thumbprint. <br><br>The data shared here is completely de-identified and annonymised to protect the participants confidentiality and identity. <br><b><br></b><b>Brief description of files:</b><b><br></b>File: 01-Economic costs - generating variables <br>This is a STATA dofile containing the code needed to generate key variables for analysis.<br>File: 02-Economic costs - stat and cost analysis <br>This is a STATA dofile containing the code needed to conduct statistical and cost analysis once the key variables have been generated. With this dofile results can be used to produce apropriate tables and figures for data visualisation.<br>File(s): Economic costs - dataset_220221Data sets in both STATA and CSV format, containing the data needed to conduct the analysis. The dofiles should be run with this dataset. Each row represents a participant (219 rows = 219 participants). This data is completely de-identified and anonymised. <br><br>A key variable to note is the "group" variable. This is the different trial arms: <br>Group 1: Current standard of careGroup 2: Optimised HIV screening and linkage to care (intervention)Group 3: Optimised TB and HIV screening and linkage to care (intervention with chest X-ray diagnosis). <br><br><br>
DOI: 10.6084/m9.figshare.14095569.v2
title: Economic costs of accessing TB diagnostic services in Malawi: an analysis of patient costs from a randomised controlled trial of computer-aided chest x-ray interpretation.

description: The files entail the data and the code needed to conduct an analysis of patients costs from a randomised controlled trial of computer-aided chest X-Ray interpretation in Blantyre, Malawi. The questionnaires used are also included.<br><br>Ethical approval for the collection of this data and study was granted. Additionally, all participants provided written informed consent. If illiterate, participants were asked to provide a witness thumbprint. <br><br>The data shared here is completely de-identified and annonymised to protect the participants confidentiality and identity. <br><b><br></b><b>Brief description of files:</b><b><br></b>File: 01-Economic costs - generating variables <br>This is a STATA dofile containing the code needed to generate key variables for analysis.<br>File: 02-Economic costs - stat and cost analysis <br>This is a STATA dofile containing the code needed to conduct statistical and cost analysis once the key variables have been generated. With this dofile results can be used to produce apropriate tables and figures for data visualisation.<br>File(s): Economic costs - dataset_220221Data sets in both STATA and CSV format, containing the data needed to conduct the analysis. The dofiles should be run with this dataset. Each row represents a participant (219 rows = 219 participants). This data is completely de-identified and anonymised. <br><br>A key variable to note is the "group" variable. This is the different trial arms: <br>Group 1: Current standard of careGroup 2: Optimised HIV screening and linkage to care (intervention)Group 3: Optimised TB and HIV screening and linkage to care (intervention with chest X-ray diagnosis). <br><br><br>
DOI: 10.6084/m9.figshare.14095569.v1
title: Economic costs of accessing TB diagnostic services in Malawi: an analysis of patient costs from a randomised controlled trial of computer-aided chest x-ray interpretation

description: The three files entail the data and the code needed to conduct an analysis of patients costs from a randomised controlled trial of computer-aided chest X-Ray interpretation in Blantyre, Malawi. <br><br>Ethical approval for the collection of this data and study was granted. Additionally, all participants provided written informed consent. If illiterate, participants were asked to provide a witness thumbprint. <br><br>The data shared here is completely de-identified and annonymised to protect the participants confidentiality and identity. <br><b><br></b><b>Brief description of files:</b><b><br></b>File: 01-Economic costs - generating variables <br>This is a STATA dofile containing the code needed to generate key variables for analysis.<br>File: 02-Economic costs - stat and cost analysis <br>This is a STATA dofile containing the code needed to conduct statistical and cost analysis once the key variables have been generated. With this dofile results can be used to produce apropriate tables and figures for data visualisation.<br>File: Economic costs - dataset_220221This is a data set in STATA format, containing the data needed to conduct the analysis. The dofiles should be run with this dataset. Each row represents a participant (219 rows = 219 participants). This data is completely de-identified and anonymised. <br><br>A key variable to note is the "group" variable. This is the different trial arms: <br>Group 1: Current standard of careGroup 2: Optimised HIV screening and linkage to care (intervention)Group 3: Optimised TB and HIV screening and linkage to care (intervention with chest X-ray diagnosis). <br><br><br>
DOI: 10.5281/zenodo.4617249
title: Genetic and transcriptional contributions to relapse in acute myeloid leukemia

description: Raw data (Cellranger feature-barcode matrices) and assorted supplementary analysis for "Genetic and transcriptional contributions to relapse in acute myeloid leukemia." Each mutant cell is listed, along with the mutation it contains and read coverage spanning the mutant site.