cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0155498.10fu
title: SH0155498.10FU

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/sh0155499.10fu
title: SH0155499.10FU

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/sh0155500.10fu
title: SH0155500.10FU

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/sh0155501.10fu
title: SH0155501.10FU

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/sh0155502.10fu
title: SH0155502.10FU

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/sh0155503.10fu
title: SH0155503.10FU

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/sh0155504.10fu
title: SH0155504.10FU

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/sh0155505.10fu
title: SH0155505.10FU

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/sh0155506.10fu
title: SH0155506.10FU

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.tyyedy
title: Occurrence Download

description: A dataset containing 799445308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2018-2023"
 ]
}

 The dataset includes 799445308 records from 9966 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080614-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/c02qe24b
title: Kidney Cancer

description: The dataset is used for cancer patient clustering and disease subtype discovery. It contains gene expression data from TCGA projects.
DOI: 10.57702/ycdqxo2y
title: Convergence to the fixed-node limit in deep variational Monte Carlo

description: The dataset used in the paper is a set of molecular systems for which the authors investigate the convergence of deep variational Monte Carlo (VMC) approaches to the fixed-node limit.
DOI: 10.57702/2fbu2lim
title: Open Graph Benchmark

description: Open Graph Benchmark (OGB) dataset contains many large-scale benchmark datasets.
DOI: 10.57702/pc61g6oz
title: Textures

description: The dataset used in the paper for out-of-distribution detection via conditional distribution entropy with optimal transport.
DOI: 10.57702/n6ysbkoj
title: Human Action and Facial Datasets

description: Human Action Dataset and Human Facial Dataset for pose guided human video generation
DOI: 10.57702/k0vmewtm
title: Feedback network for mutually boosted stereo image super-resolution and disparity estimation

description: Stereo image super-resolution aims at enhancing the quality of super-resolution results by utilizing the complementary information provided by binocular systems.
DOI: 10.57702/g8aqh6m1
title: FRGC Dataset

description: The FRGC dataset is a face recognition dataset containing 1,224 images of 100 subjects.
DOI: 10.57702/9cgi7z58
title: Optimal timing of reintroduction of black-footed ferrets

description: The dataset used in this paper is a bioeconomic model of captive rearing and reintroduction of black-footed ferrets.
DOI: 10.57702/1vaarlqd
title: Taxis

description: The Taxis dataset contains a complete year (from 1/07/2013 to 30/06/2014) of trajectories for all of the 442 taxis running in Porto, Portugal.
DOI: 10.15468/dl.r76whw
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Formica rubicunda",
 "Country is Canada",
 {
 "not" : {
 "InstitutionCode" : [
 "is one of (iNaturalist)"
 ]
 }
 }
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080051-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/lznjneci
title: COCO Attributes

description: The COCO Attributes dataset contains a large vocabulary of attributes for objects in images.
DOI: 10.15468/dl.t9nekz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.0754 23.893353, 88.998597 23.887776, 88.923704 23.871184, 88.852582 23.84399, 88.786998 23.806868, 88.728573 23.760742, 88.67874999999999 23.706756, 88.638752 23.646247, 88.609555 23.580714, 88.591864 23.511775, 88.586097 23.441133, 88.592377 23.370528, 88.61053200000001 23.301696, 88.640097 23.23633, 88.680331 23.176031, 88.73023499999999 23.122278, 88.788579 23.076385, 88.853927 23.039473, 88.92468100000001 23.012446, 88.99911 22.995961, 89.0754 22.990421, 89.15169 22.995961, 89.226119 23.012446, 89.29687300000001 23.039473, 89.36222100000001 23.076385, 89.420565 23.122278, 89.47046899999999 23.176031, 89.51070300000001 23.23633, 89.540268 23.301696, 89.558423 23.370528, 89.56470299999999 23.441133, 89.558936 23.511775, 89.541245 23.580714, 89.51204799999999 23.646247, 89.47205 23.706756, 89.42222700000001 23.760742, 89.36380200000001 23.806868, 89.29821800000001 23.84399, 89.227096 23.871184, 89.152203 23.887776, 89.0754 23.893353))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080053-251120083545085/datasets/export for details.
DOI: 10.57702/uifgutgq
title: Google Scanned Objects

description: Google Scanned Objects is a real-scanned 3D object dataset and we use all its 1030 samples for evaluation unlike existing works [29, 31] that only use 30 of them.
DOI: 10.57702/i9skv1o1
title: Numerai-Signals

description: The dataset is created from raw financial datasets, including price data, financials, and sentiment data.
DOI: 10.57702/71amtyi9
title: ML-Dataset

description: COVID-19 data and SafeGraph POI based Mobility Data
DOI: 10.57702/w5s4e54y
title: 50words dataset

description: Time-series datasets for classification tasks
DOI: 10.57702/xk6botl7
title: Memotion Dataset 7K

description: The Memotion Dataset 7K is a collection of 7000 memes with associated metadata.
DOI: 10.57702/w479l8fx
title: INRIA Synthetic Light Field Dataset

description: The dataset used in this paper is a light field dataset, consisting of 39 light field scenes with 9x9 angular resolution.
DOI: 10.57702/h37pd9s1
title: MIMIC-IV ED

description: MIMIC-IV ED dataset used for outcome prediction and patient triage in hospital emergency department based on text information in chief complaints and vital signs recorded at triage.
DOI: 10.7910/dvn/dq2cbx
title: Machine Learning-Based Prediction of Bloodstream Infection in Rectal Carbapenem-Resistant Enterobacterales Carriers: A Multicenter Retrospective Cohort Study

description: 639 patients with 173 features
DOI: 10.57702/nysd0klq
title: Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity

description: The dataset used for single-cell RNA sequencing data where cells are modeled as signals on gene interaction graphs or genes are modeled as signals on cell-similarity graphs.
DOI: 10.57702/fd232cjo
title: Paralex

description: Propose a method for generating paraphrases of English questions that retain the original intent but use a different surface form.
DOI: 10.57702/bpyxrsui
title: Baselines

description: Classical motion planning methods and learning from hallucination approaches.
DOI: 10.23728/b2share.e12fef51728e413fa3dddf92a438b1ff
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: CO in 2016 at 15h UTC (dataset)

description: csv file including air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of carbon monoxide during 2016, aggregated by hour (15h UTC).
DOI: 10.15468/dl.rw3768
title: Occurrence Download

description: A dataset containing 240438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sterna paradisaea",
 "Year 2020-2026"
 ]
}

 The dataset includes 240438 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013694-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfdkyt
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Perccottus glenii",
 "Year 2000-2010"
 ]
}

 The dataset includes 95 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013741-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18491219
title: Data for the submitted manuscript: "Hidden O-Deglycosylation Activity Triggers O→C Rearrangement for Aryl Di-C-glucoside Formation by the C-Glycosyltransferase From Fortunella crassifolia"

description: The uploaded files contain the data associated with the submitted manuscript to Biotechnology and Bioengineering, entitled “Hidden O-Deglycosylation Activity Triggers O→C Rearrangement for Aryl Di-C-glucoside Formation by the C-Glycosyltransferase from Fortunella crassifolia.”

Data for Figures 2–4 and Figures S1, S2, and S6–S13 are provided in the file entitled “Conversion, HPLC, HPLC-MS.”NMR data corresponding to Figures S3–S5 are provided in a separate file entitled “NMR.”
DOI: 10.5281/zenodo.18491218
title: Data for the submitted manuscript: "Hidden O-Deglycosylation Activity Triggers O→C Rearrangement for Aryl Di-C-glucoside Formation by the C-Glycosyltransferase From Fortunella crassifolia"

description: The uploaded files contain the data associated with the submitted manuscript to Biotechnology and Bioengineering, entitled “Hidden O-Deglycosylation Activity Triggers O→C Rearrangement for Aryl Di-C-glucoside Formation by the C-Glycosyltransferase from Fortunella crassifolia.”

Data for Figures 2–4 and Figures S1, S2, and S6–S13 are provided in the file entitled “Conversion, HPLC, HPLC-MS.”NMR data corresponding to Figures S3–S5 are provided in a separate file entitled “NMR.”
DOI: 10.23728/b2share.7d7b7463ec464a3abca1ed91b2ef9782
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: humidity in 2016 (15h UTC) (clipped GeoTIFF)

description: Clipped GeoTIFF file including interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of humidity during 2016, aggregated by hour (15h UTC).
DOI: 10.15468/dl.y6qeju
title: Occurrence Download

description: A dataset containing 3689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Puerto Rico",
 "OccurrenceStatus is Present",
 "TaxonKey is Sparisoma viride",
 "Year 2000-2026"
 ]
}

 The dataset includes 3689 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013745-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds007368.v1.0.0
title: CategorySelectiveSignatures
DOI: 10.15468/dl.ade756
title: Occurrence Download

description: A dataset containing 4273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Ursus maritimus",
 "Year 1000-2026"
 ]
}

 The dataset includes 4273 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013743-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqfcud
title: Occurrence Download

description: A dataset containing 12420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "OccurrenceStatus is Present",
 "TaxonKey is Martes martes",
 "Year 1899-2026"
 ]
}

 The dataset includes 12420 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013744-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5bqs9
title: Occurrence Download

description: A dataset containing 5918 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cirsium heterophyllum, Cirsium helenioides, Cirsium helenioides, Cirsium helenioides)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 5918 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013742-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23728/b2share.1ebca9b2dc834738aa7f4d64641cdab0
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: CO in 2017 at 11h CET (dataset)

description: csv file including air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of carbon monoxide during 2017, aggregated by hour (11h CET).
DOI: 10.15468/dl.z4u2ex
title: Occurrence Download

description: A dataset containing 5105 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthonomus grandis"
 ]
}

 The dataset includes 5105 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013746-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.