cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0156059.10fu
title: SH0156059.10FU

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/sh0156060.10fu
title: SH0156060.10FU

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/sh0156061.10fu
title: SH0156061.10FU

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/sh0156062.10fu
title: SH0156062.10FU

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: 10.71782/data/nrf8qs
title: Latvijas Nacionālā mākslas muzeja gadījums: jauniešu iesūtītie foto

description: FLPP “Ceļā uz līdzdalīgu iesaisti muzejos: Latvijas muzejpedagoģijas prakses izpēte (MEET)” (Nr. lzp-2022/1-0379) ietvaros tika izmantota foto izdibināšanas metode. Latvijas Nacionālā mākslas muzeja Jauniešu klubā iesaistītie jaunieši fotogrāfiju formātā fiksēja savu pieredzi muzeja aktivitātēs un izstādes veidošanā. Kopā iegūtas 54 fotogrāfijas. Personu identitātes aizsardzības nolūkos, dati atrodās slēgtā piekļuvē.
description: Personas datu aizsardzības nolūkos dati nav publiski pieejami. Repozitorijā ir pieejama datu aprakstošā informācija (metadati).
DOI: 10.15156/bio/sh0156063.10fu
title: SH0156063.10FU

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/sh0156064.10fu
title: SH0156064.10FU

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/sh0156065.10fu
title: SH0156065.10FU

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: 10.57702/xix5je36
title: Service Repository

description: The dataset contains 32 services S1 to S32. Each service has input, output parameters, precondition, method, output, and postcondition. The dataset is used to demonstrate the proposed methodology for semantic web service composition.
DOI: 10.57702/sli9kwjy
title: Fetch environment in OpenAI Gym

description: The dataset used in the experiments is the Fetch environment in OpenAI Gym.
DOI: 10.57702/gqvp3rub
title: KTH-TIPS Dataset

description: The dataset used in the paper is the KTH-TIPS dataset.
DOI: 10.57702/utig0uq7
title: AfricanHLT 2010

description: The dataset used for the automatic text summarization task, containing documents in three languages.
DOI: 10.57702/073pg6vc
title: Emotion and bipolar disorder

description: Emotion and bipolar disorder
DOI: 10.57702/05tdm9gb
title: Caenorhabditis elegans Neurons Network

description: Caenorhabditis elegans Neurons Network
DOI: 10.57702/8uuslvdd
title: NELL995

description: The dataset used in the paper is the NELL995 dataset, which is a knowledge base completion dataset. The dataset contains 995,000 triples and is used to evaluate the performance of query embedding methods.
DOI: 10.57702/awt5t74e
title: Safety Climate Survey Data

description: The dataset used in this study is the safety climate survey data collected by Huang et al. (2013). The survey uses the safety climate instrument for trucking that Huang et al. developed based on a previous study (Zohar & Luria, 2005).
DOI: 10.57702/w6ayqga2
title: CASIA-Net

description: Face recognition dataset
DOI: 10.57702/hed66aat
title: A 3D Morphable Model of Craniofacial Shape and Texture Variation

description: A 3D morphable model of craniofacial shape and texture variation.
DOI: 10.57702/idlne4ol
title: Socially Aware Bias Measurements for Hindi Language Representations

description: The dataset used for bias measurements in Hindi language representations.
DOI: 10.57702/ftbsskut
title: NYC3DCars

description: A dataset of 3D vehicles in geographic context.
DOI: 10.57702/jtxgqg8w
title: A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations

description: The proposed network contains clustering layers, based on earlier work by Afshar et al., 2020 and Bethi et al., 2022, with an introduction of TD-error modulation and eligibility traces.
DOI: 10.57702/dgpl0q3i
title: GAN and VAE from an Optimal Transport Point of View

description: The dataset used in the paper is a generative model, specifically a Wasserstein GAN and a Wasserstein VAE.
DOI: 10.57702/y70333ep
title: Average Coupling Weight

description: The dataset used in the paper is an Average Coupling weight, which is used to design a distributed algorithm for degree sequence estimation.
DOI: 10.57702/r4z8bitj
title: Home Credit Default Risk

description: The Home Credit Default Risk dataset, used to test the fairness of algorithms.
DOI: 10.57702/2lf4wm86
title: UK-DALE dataset

description: The UK-DALE dataset is a public available dataset used for non-intrusive load monitoring. It records 5 houses, all of the appliance-level power data is active power sampled every 6 seconds, while the aggregate power data is a mixture of apparent power sampled every 6 seconds and active power sampled every 1 second.
DOI: 10.57702/wexq14z2
title: GIDAS Accident Study Dataset

description: The GIDAS accident study dataset contains data on pedestrian behavior in urban environments.
DOI: 10.57702/w69zetpt
title: Physics Template

description: The dataset used in the paper is a collection of 2D potentials with known symmetry properties, used to train a neural network to detect symmetries.
DOI: 10.57702/8w6sv6a0
title: Flickr 8k Dataset

description: The Flickr 8k dataset is a large-scale benchmark for image captioning. It contains 8,000 images annotated with 5 human captions each.
DOI: 10.57702/gp5tap4r
title: Coach AI dataset

description: A dataset with labeled badminton ball images and sequences from high-ranking matches is built to train.
DOI: 10.15468/dl.mmt62j
title: Occurrence Download

description: A dataset containing 5503 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Dodecatheon clevelandii)"
 ]
}

 The dataset includes 5503 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007906-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nvw4vq
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Monocerotesa lutearia (Leech, 1891)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0129548-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3tqm7d
title: Occurrence Download

description: A dataset containing 228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Semnopithecus vetulus (Erxleben, 1777), Semnopithecus vetulus nestor Bennett, 1833, Semnopithecus vetulus vetulus, Semnopithecus vetulus monticola (Kelaart, 1850), Semnopithecus vetulus philbricki (Phillips, 1927))"
 ]
}

 The dataset includes 228 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237773-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76nhcb
title: Occurrence Download

description: A dataset containing 77119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calamagrostis arundinacea (L.) Roth",
 "HasCoordinate is true"
 ]
}

 The dataset includes 77119 records from 343 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096475-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsgyg7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gibberichthyidae, 158165186, Gibberichthyidae, Gibberichthyidae, Gibberichthyidae, Gibberichthyidae, 208061441, Gibberichthyidae, Gibberichthyidae, Gibberichthyidae, Gibberichthyidae, 208014161, 208476900, Gibberichthyidae Parr, 1933, Gibberichthyidae Parr, 1933, Gibberichthyidae Parr, 1933, 161419454, Gibberichthyidae Parr, 1933, Gibberichthyidae Parr, 1933, Gibberichthyidae Parr, 1933, Kasidoroidae, Kasidoroidae, Kasidoridae, Kasidoridae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((105.5 17,110.5 17,110.5 22,105.5 22,105.5 17))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237775-220831081235567/datasets/export for details.
DOI: 10.15468/dl.xxugzj
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Fauna Atlas N.T., WildNet - Queensland Wildlife Data, Australian Museum provider for OZCAM, iNaturalist Research-grade Observations, Museums Victoria provider for OZCAM, Museum of Comparative Zoology, Harvard University, Australian National Insect Collection, South Australian Museum Adelaide provider for OZCAM, Northern Territory Museum and Art Gallery provider for OZCAM, Queensland Museum provider for OZCAM)",
 "PublishingOrg is one of (a79eb163-569a-4687-b5fb-5483b2aca836, 96835ce2-d3af-4f6e-af81-faa0c7576fa4, 770c30d2-c2a8-4bb2-8056-6167297cddae, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, 4cff2aca-5ce5-4028-88e6-d79b6449173a, b4640710-8e03-11d8-b956-b8a03c50a862, 64bd66c1-e7d3-48d0-9462-488729aed122, 4d0539cd-a2e0-4a2c-8b7d-ec6718eef764, 8cdd9232-84eb-4bad-9d9b-a36910cd524b, f9d3db7d-6ee9-4fbf-bd4c-e5d0f0bd26c6)",
 "TaxonKey is Hypolimnas bolina nerina (Fabricius, 1775)",
 "Year 1985-2022"
 ]
}

 The dataset's 1 records were derived from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142009-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t6a9wu
title: Occurrence Download

description: A dataset containing 520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus myrsinifolia Blume",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 520 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165239-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnx6pc
title: Occurrence Download

description: A dataset containing 465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Syngonium angustatum Schott"
 ]
}

 The dataset includes 465 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0280104-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ecw899
title: Occurrence Download

description: A dataset containing 1059 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathyarca pectunculoides (Scacchi, 1835)",
 "Geometry Polygon ((-0.81872320224334705 81.71335986952006181, 15.11673521981012946 82.94093416616939862, 55.03837845422534514 82.93072605576169565, 68.89890739424060939 82.76538423844311865, 68.23492995998834942 76.91672887805012238, 66.65798355363932615 76.41899886398434205, 58.35826562548645313 75.2830057792397298, 53.62742640643935488 72.27604926014167575, 56.51370019053020144 70.7184319212233703, 61.20731985535795161 69.33373585697623298, 61.03848461561595684 68.59378701793275468, 59.48520040998950265 68.17044220597425408, 56.31109790283980487 68.39555084581948563, 54.55521140952295411 67.98114593841629016, 51.6512452859604565 68.17044220597425408, 48.65267784747624091 67.02924254972219842, 40.94483653932162071 65.40948750740305684, 40.32919426231246263 64.38453675707305024, 38.06363068291878449 63.85719999959601267, 35.45330742839996674 63.59523518951031207, 32.17809051471124349 66.47463978769231119, 31.61169961986282928 67.35413577830914278, 38.21138482940098413 66.43524838936303922, 40.30456857123208891 66.65113196644773552, 40.03368596934806334 67.62779915964847532, 34.17277149222090316 68.8963607305246768, 27.46509718561969038 69.94367113526196533, 23.20588516082897712 69.84830520059951198, 19.77835359058319753 69.06055172175248913, 14.73786598728060149 67.08356056086624619, 12.041205119513684 67.75195906073822982, 8.34509648852492347 77.01326974603688313, -0.81872320224334705 \n 81.71335986952006181))",
 {
 "and" : [
 "Year is greater than 2000",
 "Year is less than or equal to 2010"
 ]
 }
 ]
}

 The dataset includes 1059 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0159037-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcftmz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Notocheiridae, 160688347, 199477278, Notocheiridae, Notocheiridae, Notocheiridae, Notocheiridae, Notocheiridae, Notocheiridae, 197295304, Notocheiridae, Notocheiridae, Notocheiridae, Notocheiridae, Notocheiridae, Notocheiridae, 208469718, Notocheiridae, Notocheiridae, Notocheiridae, Notocheiridae, Notocheiridae, Notocheiridae Schultz, 1950, Isonidae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((105.5 17,110.5 17,110.5 22,105.5 22,105.5 17))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237774-220831081235567/datasets/export for details.
DOI: 10.15468/dl.59yves
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Raulinoreitzia tremula (Hook. & Arn.) R.M.King & H.Rob."
 ]
}

 The dataset includes 48 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098023-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9xjswk
title: Occurrence Download

description: A dataset containing 5513607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "OccurrenceStatus is Present",
 "Year 1993-2023"
 ]
}

 The dataset includes 5513607 records from 1343 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237782-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxycn8
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/0001434-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xcxk2e
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "InstitutionCode is one of (cas, fishbase)",
 "TaxonKey is Limbochromis robertsi (Thys van den Audenaerde & Loiselle, 1971)"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194409-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.