cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1135582.10fu
title: SH1135582.10FU

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/sh1135586.10fu
title: SH1135586.10FU

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/sh1135587.10fu
title: SH1135587.10FU

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/sh1135591.10fu
title: SH1135591.10FU

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/sh1135592.10fu
title: SH1135592.10FU

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/sh1135595.10fu
title: SH1135595.10FU

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.wsdpx4
title: Occurrence Download

description: A dataset containing 10235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.82001 3.04001,-67.26478 3.04001,-67.26478 7.26428,-77.82001 7.26428,-77.82001 3.04001))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pteroglossus castanotis Gould, 1834"
 ]
}

 The dataset includes 10235 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008222-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gknqwa
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Liatris spicata (L.) Willd.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 211 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162712-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.utpccd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.85682 25.12453,-99.89927 24.58251,-100.01407 23.866,-99.64234 24.22838,-99.50099 24.21523,-99.10379 24.12449,-98.97085 24.16815,-98.94599 24.40132,-99.05536 25.14014,-99.85682 25.12453))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Penelope purpurascens Wagler, 1830"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008223-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrly5v
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-97.42676 17.89511,-88.6377 19.22818,-87.58301 27.13737,-98.78906 28.92163,-97.42676 17.89511))",
 "HasCoordinate is true",
 "TaxonKey is Chelonia mydas (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 93 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028163-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4da7u
title: Occurrence Download

description: A dataset listing the 11 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pichia membranifaciens (E.C.Hansen) E.C.Hansen"
 ]
}

 The dataset's 11 records were derived from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189892-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtbq6w
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythrocephalum dianthiflorum Welw. ex O.Hoffm."
 ]
}

 The dataset includes 29 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042836-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5x9yg
title: Occurrence Download

description: A dataset containing 301829 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phalaris arundinacea L."
 ]
}

 The dataset includes 301829 records from 607 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028164-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z3x8um
title: Occurrence Download

description: A dataset containing 3169634 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Toxostoma rufum (Linnaeus, 1758)"
 ]
}

 The dataset includes 3169634 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047002-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqjpdr
title: Occurrence Download

description: A dataset containing 310315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex rostrata Stokes, Carex rotundata Wahlenb., Carex sajanensis V.I.Krecz., Carex saxatilis L., Carex secalina Willd. ex Wahlenb., Carex utriculata Boott, Carex vesicaria L., Carex vesicata Meinsh.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation, Material sample, Literature Occurrence, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 310315 records from 506 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0201822-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eksovw
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Dendrophorbium pellucidinerve (Sch.Bip. ex Baker) C.Jeffrey",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 57 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028164-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.newsa7
title: Occurrence Download

description: A dataset containing 1609 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epimedium grandiflorum Morren"
 ]
}

 The dataset includes 1609 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042879-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xsazpv
title: Occurrence Download

description: A dataset containing 27796 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colibri delphinae (R.Lesson, 1839)"
 ]
}

 The dataset includes 27796 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0201825-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbjzqz
title: Occurrence Download

description: A dataset containing 13890 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, EDP Foz-Tua: Vascular Flora and Habitats – Ecological and Complementary Measures Monitoring Programs – Construction Phase II [2015-2016] and Flooding Phase [2016-2017], EDP Baixo Sabor: Exploration Phase – Vascular Flora and Habitats: Compensatory Measures Program, Compensatory Measure MC1: improvement and restoration of the riparian gallery [2015-2020], Biodiversity4all Research-Grade Observations, Pl@ntNet automatically identified occurrences)",
 "Geometry POLYGON((-8.9974 40.87503,-6.08604 40.87503,-6.08604 42.24774,-8.9974 42.24774,-8.9974 40.87503))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida",
 "Year 2017-2019"
 ]
}

 The dataset includes 13890 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008214-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7htxb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cotoneaster ovatus Pojark.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013149-250402121839773/datasets/export for details.
DOI: 10.15468/dl.7vpn9v
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scaphandridae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 69 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037091-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/4chdgahp
title: SCARED

description: SCARED is one of the MICCAI 2019 challenges, and provided a training set acquired from 7 pigs. Each pig corresponds to 5 videos recorded by a binocular camera from 5 different views of the abdominal anatomy scene.
DOI: 10.57702/loc3hl5d
title: Hamlyn

description: Depth estimation in robotic surgery is vital in 3D recon-struction, surgical navigation and augmented reality visualization.
DOI: 10.57702/7pcubam7
title: Densely Annotated Video Segmentation (DAVIS)

description: The Davis dataset contains fifty high-resolution videos with pixel-accurate ground truth.
DOI: 10.57702/bxxc4eiq
title: Earthquake data

description: Score-based generative models exhibit state of the art performance on density estimation and generative modeling tasks. These models typically assume that the data geometry is flat, yet recent extensions have been developed to synthesize data living on Riemannian manifolds.
DOI: 10.57702/99d6bu6g
title: Playing Lottery Tickets with Vision and Language

description: Large-scale pre-training has recently revolutionized vision-and-language (VL) research. Models such as LXMERT and UNITER have achieved state-of-the-art performance across a wide range of VL tasks, such as visual question answering, visual commonsense reasoning, visual entailment, referring expression comprehension, image-text retrieval, GQA, and NLVR2.
DOI: 10.57702/4ihzls6k
title: Image Text Pseudo-Pose (ITPP)

description: A large-scale dataset of human poses and their text descriptions extracted from large-scale image datasets.
DOI: 10.6084/m9.figshare.c.3776477_d9
title: Additional file 4: of Integrated mRNA and microRNA transcriptome variations in the multi-tepal mutant provide insights into the floral patterning of the orchid Cymbidium goeringii

description: Gene ID and transcript fold changes of the DEGs (differentially expressed genes) between the wild type and mutant (XLS 2888Â kb)
DOI: 10.6084/m9.figshare.c.3776477_d9.v1
title: Additional file 4: of Integrated mRNA and microRNA transcriptome variations in the multi-tepal mutant provide insights into the floral patterning of the orchid Cymbidium goeringii

description: Gene ID and transcript fold changes of the DEGs (differentially expressed genes) between the wild type and mutant (XLS 2888Â kb)
DOI: 10.57702/s8myof77
title: A Convolutional Neural Network Cascade for Face Detection

description: The Face Recognition dataset is used for face detection and recognition tasks.
DOI: 10.6084/m9.figshare.c.3776477_d8.v1
title: Additional file 3: of Integrated mRNA and microRNA transcriptome variations in the multi-tepal mutant provide insights into the floral patterning of the orchid Cymbidium goeringii

description: Details of the pathway annotations for the unigene sets by KEGG (XLS 1399Â kb)
DOI: 10.57702/ru6lm77t
title: P-CNN: Pose-Based CNN Features for Action Recognition

description: The P-CNN dataset is used for action recognition tasks.
DOI: 10.6084/m9.figshare.c.3776477_d8
title: Additional file 3: of Integrated mRNA and microRNA transcriptome variations in the multi-tepal mutant provide insights into the floral patterning of the orchid Cymbidium goeringii

description: Details of the pathway annotations for the unigene sets by KEGG (XLS 1399Â kb)
DOI: 10.57702/4zw39i9v
title: Y-Vector: Multiscale Waveform Encoder for Speaker Embedding

description: The proposed Y-vector system is used for speaker verification and speaker embedding.
DOI: 10.57702/4wgq013t
title: i-vector

description: The i-vector dataset is a text-dependent speaker verification dataset.
DOI: 10.57702/30jzm35o
title: PedSimAutomation

description: A synthetic dataset of evacuation scenarios for training a deep learning model to predict pedestrian evacuation time and density from floorplans.
DOI: 10.57702/813h0bj9
title: RML2016.10a

description: The dataset used in this paper for Automatic Modulation Classification (AMC) using deep learning.
DOI: 10.57702/7lissvsc
title: D4LA

description: A new benchmark named D4LA, which is the most diverse and detailed manually-labeled dataset for document layout analysis.
DOI: 10.15468/dl.kj75yr
title: Occurrence Download

description: A dataset listing the 117 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Freshwater Biodiversity Information System (FBIS) Fish Data"
 ]
}

 The dataset's 117 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037078-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/4rlri6sv
title: DNA promoter dataset

description: The DNA promoter dataset consist of a background theory with 14 logical if-then rules. The rules includes four symbols contact, minus10, minus35, conf ormation which are not observed in the data. This is suitable for hierarchical models as shown in previous works [Towell and Shavlik, 1994; Tran and Garcez, 2016].
DOI: 10.57702/cuuugcb1
title: Kinship dataset

description: The Kinship dataset is used for relation discovery and reasoning tasks. Given a set of examples about relations, the model infers the direct relation between two people and possible relations of a person.
DOI: 10.57702/8egk72o4
title: MIXED PRECISION TRAINING

description: The dataset used for training deep neural networks using half-precision floating point numbers.
DOI: 10.57702/8rw4eioz
title: Text-to-Image Diffusion Models

description: The dataset used for text-to-image diffusion models, including Bluefire, Paintings, 3D, and Origami styles.
DOI: 10.57702/blzjzadd
title: Health MNIST

description: The MNIST dataset is a dataset of handwritten digits.
DOI: 10.57702/jcihpc7s
title: StreamV2V: Real-time Video-to-Video Translation with User Prompts

description: This paper introduces StreamV2V, a diffusion model that achieves real-time streaming video-to-video translation with user prompts.
DOI: 10.6084/m9.figshare.c.3767597_d3.v1
title: Additional file 3: of Identification and profiling of Cyprinus carpio microRNAs during ovary differentiation by deep sequencing

description: Existing carp miRNAs predicted from the five development stages of Yellow River carp. (XLS 16Â kb)
DOI: 10.15468/dl.xk8bu9
title: Occurrence Download

description: A dataset containing 11230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Muricidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11230 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037092-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/hgee853b
title: Semantic Lens: Instance-Centric Semantic Alignment for Video Super-Resolution

description: Video super-resolution paradigm, combining semantic priors with pixel-level features
DOI: 10.57702/r4g0elps
title: ISIC 2016

description: Automated medical image segmentation can assist doctors to diagnose faster and more accurate. Deep learning based models for medical image segmentation have made great progress in recent years.
DOI: 10.57702/ckcxuquc
title: Kaggle-EyePACS

description: A public diabetic retinopathy dataset containing 88,702 images with image-level grading labels.
DOI: 10.57702/8h0xvjvq
title: Kaggle-APTOS2019

description: A public diabetic retinopathy dataset containing 5,590 images with image-level grading labels.
DOI: 10.57702/0ionl99v
title: CIFAR-10 and ImageNet-2012

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the CIFAR-10 and ImageNet-2012 datasets.