cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0166893.10fu
title: SH0166893.10FU

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.7fqg9d
title: Occurrence Download

description: A dataset listing the 445 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Macao, Hong Kong)",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset's 445 records were derived from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001258-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0166894.10fu
title: SH0166894.10FU

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/sh0166895.10fu
title: SH0166895.10FU

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.je57yv
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pleione bulbocodioides",
 "Year 1950-2026"
 ]
}

 The dataset includes 224 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001267-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wb2dec
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((75.35882100000001 20.494203, 75.283844 20.488627, 75.210729 20.472036, 75.14129 20.444844, 75.07724899999999 20.407724, 75.020189 20.361598, 74.971519 20.307608, 74.93243200000001 20.247091, 74.903886 20.181544, 74.88657000000001 20.112586, 74.880897 20.041917, 74.88699200000001 19.97128, 74.904689 19.902412, 74.933538 19.837005, 74.972818 19.776665, 75.021556 19.722871, 75.078548 19.676941, 75.14239499999999 19.639998, 75.21153200000001 19.612945, 75.284266 19.596445, 75.35882100000001 19.5909, 75.433376 19.596445, 75.50611000000001 19.612945, 75.575247 19.639998, 75.639094 19.676941, 75.69608599999999 19.722871, 75.74482399999999 19.776665, 75.784104 19.837005, 75.81295299999999 19.902412, 75.83065000000001 19.97128, 75.83674499999999 20.041917, 75.83107200000001 20.112586, 75.813756 20.181544, 75.78521000000001 20.247091, 75.746123 20.307608, 75.697453 20.361598, 75.640393 20.407724, 75.576352 20.444844, 75.506913 20.472036, 75.433798 20.488627, 75.35882100000001 20.494203))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001268-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0166896.10fu
title: SH0166896.10FU

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/sh0166897.10fu
title: SH0166897.10FU

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/sh0166898.10fu
title: SH0166898.10FU

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: 10.17632/ndxz7grf4z
title: STEM_TextBook_English

description: The full corpus is curated across multiple STEM/Non-STEM disciplines and structured for use in LLM training, evaluation, and instruction tuning (SFT/RLHF). This sample represents the structure and quality of the larger dataset.

Dataset composition (full corpus):

Text corpus: 1.6B+ words of curated STEM and Non-STEM educational content across 22000+ texbooks in 7 languages(English, Hindi, Arabic, Bahasa, Tamil, Telegu, Kannada)
Question–Answer pairs: 6.5M+ high-quality Q&A pairs of STEM and Non-STEM in (English, Arabic, Hindi and Indic languages)
Video data: 100K+ hours of STEM Videos and 30K+ hours of UGC.
Audio data: 821K+ hours of Podcasts and Call Center data(Dual Channel)
Medical datasets: 30M+ files including clinical and diagnostic data like CT Scan, MRI, X-ray, Pathology, EHRs, USG Reports and Echo Reports.
This repository includes:

A small preview subset of the STEM English Q&A data
Flat, viewer-friendly schema for inspection
Parquet files suitable for benchmarking and evaluation
Purpose of this dataset:

Dataset preview and validation
Model evaluation and experimentation
Schema and format inspection before full-scale access
:warning: Note: This repository contains sample data only. Access to the complete dataset is available separately under appropriate licensing or partnership terms. Note: This is not the full dataset.

For full details, Please contact [Em: vipul.mishra@infobay.ai]
DOI: 10.15156/bio/sh0166899.10fu
title: SH0166899.10FU

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: 10.17632/ndxz7grf4z.1
title: STEM_TextBook_English

description: The full corpus is curated across multiple STEM/Non-STEM disciplines and structured for use in LLM training, evaluation, and instruction tuning (SFT/RLHF). This sample represents the structure and quality of the larger dataset.

Dataset composition (full corpus):

Text corpus: 1.6B+ words of curated STEM and Non-STEM educational content across 22000+ texbooks in 7 languages(English, Hindi, Arabic, Bahasa, Tamil, Telegu, Kannada)
Question–Answer pairs: 6.5M+ high-quality Q&A pairs of STEM and Non-STEM in (English, Arabic, Hindi and Indic languages)
Video data: 100K+ hours of STEM Videos and 30K+ hours of UGC.
Audio data: 821K+ hours of Podcasts and Call Center data(Dual Channel)
Medical datasets: 30M+ files including clinical and diagnostic data like CT Scan, MRI, X-ray, Pathology, EHRs, USG Reports and Echo Reports.
This repository includes:

A small preview subset of the STEM English Q&A data
Flat, viewer-friendly schema for inspection
Parquet files suitable for benchmarking and evaluation
Purpose of this dataset:

Dataset preview and validation
Model evaluation and experimentation
Schema and format inspection before full-scale access
:warning: Note: This repository contains sample data only. Access to the complete dataset is available separately under appropriate licensing or partnership terms. Note: This is not the full dataset.

For full details, Please contact [Em: vipul.mishra@infobay.ai]
DOI: 10.5281/zenodo.18197421
title: Understanding the role of gut microbiome in the relationship between environment, S. mansoni infection and Cardiovascular risk.

description: This dataset containing sequences generated from a project that was investigating the mediatory effect of the gut microbiome in the link between the environment, Infection and cardiovacular risk. the links to preprints are : https://www.researchsquare.com/article/rs-7053382/v1 and https://www.researchsquare.com/article/rs-7108139/v1.
DOI: 10.15156/bio/sh0166900.10fu
title: SH0166900.10FU

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/sh0166901.10fu
title: SH0166901.10FU

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/sh0166902.10fu
title: SH0166902.10FU

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.e1nazh
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015058-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.l3ik7y
title: Occurrence Download

description: A dataset containing 978472526 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 978472526 records from 19435 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012326-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wswjc
title: Occurrence Download

description: A dataset containing 2088 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bactrocera tau"
 ]
}

 The dataset includes 2088 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002879-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67fuqu
title: Occurrence Download

description: A dataset containing 316330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "TaxonKey is Pinus halepensis Mill."
 ]
}

 The dataset includes 316330 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254942-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4445yh
title: Occurrence Download

description: A dataset containing 35626 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NCSM Mollusk Collection"
 ]
}

 The dataset includes 35626 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046921-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udqxas
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clusia ellipticifolia Cuatrec."
 ]
}

 The dataset's 1 records were derived from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285821-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pp2nxg
title: Occurrence Download

description: A dataset containing 29131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((116.34727 39.98764,116.31706 40.02551,116.27449 40.03392,116.22231 40.02972,116.15364 40.00553,116.1454 39.9687,116.15501 39.94028,116.22917 39.92975,116.30882 39.95396,116.34727 39.98764))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2021"
 ]
}

 The dataset includes 29131 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293207-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mhegr
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amaranthus retroflexus L.",
 "Year 1970-2021"
 ]
}

 The dataset includes 38 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005677-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9zzre
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Seabirds of the Southern and South Indian Ocean"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074821-200613084148143/datasets/export for details.
DOI: 10.15468/dl.9zhsgr
title: Occurrence Download

description: A dataset containing 83129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 {
 "or" : [
 "Geometry POLYGON((104.3335 26.91554,107.1167 26.94166,110.80811 26.96777,110.74951 32.41088,107.29248 32.38615,104.3335 32.41088,104.3335 26.91554))",
 "Geometry POLYGON((104.21631 26.4968,111.18897 26.4968,111.18897 32.80574,104.21631 32.80574,104.21631 26.4968))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1980-2021"
 ]
}

 The dataset includes 83129 records from 343 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034308-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9vbhr
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoscolopia Gilg"
 ]
}

 The dataset includes 93 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285843-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.