cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1101834.10fu
title: SH1101834.10FU

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/sh1101838.10fu
title: SH1101838.10FU

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/sh1101840.10fu
title: SH1101840.10FU

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/sh1101842.10fu
title: SH1101842.10FU

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/sh1101845.10fu
title: SH1101845.10FU

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/sh1101850.10fu
title: SH1101850.10FU

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/sh1101851.10fu
title: SH1101851.10FU

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/sh1101852.10fu
title: SH1101852.10FU

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/sh1101854.10fu
title: SH1101854.10FU

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.mtne95
title: Occurrence Download

description: A dataset listing the 68 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.64446 3.78652,-76.66516 3.77609,-76.67612 3.75086,-76.64411 3.74512,-76.62324 3.76443,-76.64446 3.78652))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Geodetic datum assumed WGS84",
 "TaxonKey is one of (Animalia, Plantae)"
 ]
}

 The dataset's 68 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025487-241126133413365/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.27988289
title: salivary microbiome and metabolites in lung cancer patients receiving immunotherapy

description: Lung cancer is a leading cause of cancer mortality, with NSCLC comprising the majority of cases. Despite the advent of immune checkpoint inhibitors(ICIs), a significant number of patients fail to achieve durable respond, highlighting the need to understand the factors influencing treatment efficacy.Salivasamples and tumor samplesfrom 20 NSCLC patientswere collected. The salivary microbiota was profiled using mNGS and the metabolites were analyzed via LC/MS to identify the correlationsamong bacteria, metabolitesand immunotheropy responses.
DOI: 10.6084/m9.figshare.27988289.v2
title: salivary microbiome and metabolites in lung cancer patients receiving immunotherapy

description: <b>Background:</b> Lung cancer is a leading cause of cancer mortality, with NSCLC comprising the majority of cases. Despite the advent of immune checkpoint inhibitors(ICIs), a significant number of patients fail to achieve durable respond, highlighting the need to understand the factors influencing treatment efficacy.<b>Methods:</b><b> </b>Salivasamples and tumor samplesfrom 20 NSCLC patientswere collected. The salivary microbiota was profiled using mNGS and the metabolites were analyzed via LC/MS to identify the correlationsamong bacteria, metabolitesand immunotheropy responses.Immunohistochemistry of tissue samplesverified the result. Besides, in vitro experimentsand tumor tissue microarryincluding 70 NSCLC patients further explore potential mechanism between the oral microbiome and immunotherapy efficacy.<b>Results:</b><b> </b>The study revealed several differential species and distinct metabolites compositions between responders and non-responders to ICIs therapyin NSCLC and explored correlations and mechanisms between microbiota metabolites and immunotherapy resistance. Notably, it was found that several Neisseria and Actinomyces species were significant enriched in respondersand identified lipids and lipid-like molecules associated with PD-L1 expression levels and treatment outcomes. Importantly, several differential lipid molecules were associated with differential species. Further, in vitro experiments and IHC experiments indicated that abnormal fat metabolism linked to dysbiosisare correlated with immunotherapy resistance through regulation of CD8+T cell activity/infiltration and PD-L1 expression .<b>Conclusion:</b><b> </b>Specific saliva microbiome and its associated lipids metabolites are significantly associated with the efficacy of ICIs-based therapy in lung cancer. The study's findings suggest oral microbiome modulation and targeting lipid metabolism could improve immunotherapy responses, offering new avenues for personalized treatment strategies.
DOI: 10.15468/dl.k8z4jc
title: Occurrence Download

description: A dataset containing 480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Nyssa biflora Walter",
 "Year 2000-2019"
 ]
}

 The dataset includes 480 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025492-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zscg3x
title: Occurrence Download

description: A dataset containing 222611 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Living Specimen, Observation, Human Observation, Occurrence evidence, Material sample, Machine Observation)",
 "Country is Ecuador",
 "Issue is Geodetic datum assumed WGS84"
 ]
}

 The dataset includes 222611 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025489-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5q957
title: Occurrence Download

description: A dataset containing 2093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Penstemon roseus (Cerv. ex Sweet) G.Don"
 ]
}

 The dataset includes 2093 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025493-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t99ck7
title: Occurrence Download

description: A dataset containing 12188414 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ecuador"
 ]
}

 The dataset includes 12188414 records from 1933 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025490-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5emrg
title: Occurrence Download

description: A dataset containing 26634728 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Canada",
 "GadmGid is CAN.2_1",
 "TaxonKey is one of (Lepidoptera, Aves)",
 "Year 1000-2025"
 ]
}

 The dataset includes 26634728 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021098-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxthxk
title: Occurrence Download

description: A dataset containing 376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Suriname",
 "Year is 2021",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 376 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059513-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6te7t
title: Occurrence Download

description: A dataset containing 58 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (CAST(occurrence.taxonkey AS INTEGER) = 5226967 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 5226967 OR CAST(occurrence.kingdomkey AS INTEGER) = 5226967 OR CAST(occurrence.phylumkey AS INTEGER) = 5226967 OR CAST(occurrence.classkey AS INTEGER) = 5226967 OR CAST(occurrence.orderkey AS INTEGER) = 5226967 OR CAST(occurrence.familykey AS INTEGER) = 5226967 OR CAST(occurrence.genuskey AS INTEGER) = 5226967 OR CAST(occurrence.specieskey AS INTEGER) = 5226967)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 58 records were derived from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059465-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7f28vp
title: Occurrence Download

description: A dataset containing 2000 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Manta birostris (Walbaum, 1792)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 2000 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012572-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cy3bpw
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Foetidia asymetrica H.Perrier"
 ]
}

 The dataset includes 146 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005777-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9kw4en
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrobates leucomelas Steindachner, 1864"
 ]
}

 The dataset includes 180 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004510-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usgxvz
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lomentaria verticillata Funk, 1955"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032569-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ubqy3v
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Foetidia capuronii Bosser"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005787-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nz4dc9
title: Occurrence Download

description: A dataset containing 13128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leontopodium nivale subsp. alpinum (Cass.) Greuter)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13128 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046027-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tas0zf
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia uliginosa Welw. ex Boiss."
 ]
}

 The dataset includes 189 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032571-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kj3rsk
title: Occurrence Download

description: A dataset listing the 53307 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Observation.org, Nature data from around the World"
 ]
}

 The dataset's 53307 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032125-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.