cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/gkalsich
title: ImageNet, ImageNet ReaL, ImageNet V2, etc.

description: The dataset used in the paper is not explicitly described. However, it is mentioned that the authors used various benchmarks such as ImageNet, ImageNet ReaL, ImageNet V2, etc.
DOI: 10.57702/za0x4i09
title: Wiki-40B, PG-19, C4, etc.

description: The dataset used in the paper is not explicitly described. However, it is mentioned that the authors used various benchmarks such as Wiki-40B, PG-19, C4, etc.
DOI: 10.57702/wah3vt5y
title: MNIST and CIFAR-10 datasets

description: The MNIST and CIFAR-10 datasets are used to test the theory suggesting the existence of many saddle points in high-dimensional functions.
DOI: 10.57702/0i2yugmv
title: scite smart citation index

description: Dataset of journal citations with classification of citation types (supporting, disputing, mentions) and calculation of scite index
DOI: 10.57702/u0krg95y
title: Sound2Scene

description: Sound2Scene is a sound-to-image generative model and training procedure that addresses the challenges of dealing with the large gaps that often exist between sight and sound.
DOI: 10.57702/wni25ken
title: Deep cross-modal audio-visual generation

description: Deep cross-modal audio-visual generation.
DOI: 10.57702/t9hv7psl
title: Visual to sound: Generating natural sound for videos in the wild

description: Visual to sound: Generating natural sound for videos in the wild.
DOI: 10.57702/obmhnoyl
title: Estimating visual information from audio through manifold learning

description: Estimating visual information from audio through manifold learning.
DOI: 10.57702/fhf46llc
title: DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening

description: Virtual screening, which identifies potential drugs from vast compound databases to bind with a particular protein pocket, is a critical step in AI-assisted drug discovery. Traditional docking methods are highly time-consuming, and can only work with a restricted search library in real-life applications.
DOI: 10.57702/pdmwrgu7
title: The PDBbind database: methodologies and updates

description: The PDBbind database contains experimentally measured protein-ligand complex structures along with their binding-affinity labels.
DOI: 10.57702/3pojo4ud
title: Chembl: a large-scale bioactivity database for drug discovery

description: The Chembl database contains a large collection of bioactive molecules and their interactions with proteins.
DOI: 10.57702/8ifvikzs
title: Lit-pcba: an unbiased data set for machine learning and virtual screening

description: The LIT-PCBA dataset contains experimentally confirmed active and inactive compounds for 15 targets.
DOI: 10.57702/yhi46fbk
title: Biolip: a semi-manually curated database for biologically relevant ligand-protein interactions

description: The Biolip database contains a large collection of biologically relevant ligand-protein interactions.
DOI: 10.57702/zrg7n9u8
title: Face Restoration Dataset

description: A custom dataset for facial feature restoration, containing 36 test subjects with and without sEMG sensors attached to their faces.
DOI: 10.57702/6ax67hri
title: Robust Multi-agent Communication via Multi-view Message Certiﬁcation

description: The dataset used in the paper is a multi-agent communication dataset, where agents learn to communicate with each other to achieve a common goal.
DOI: 10.57702/mt5x44tf
title: SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTA

description: Learning rich data representations from unlabeled data is a key challenge towards applying deep learning algorithms in downstream tasks. The proposed method learns sparse data representations that consist of a linear combination of a small number of predetermined orthogonal atoms.
DOI: 10.57702/6geip7ka
title: ISIC-2016 dataset

description: The ISIC-2016 dataset is a public challenge dataset dedicated to Skin Lesion Analysis for Melanoma Detection.
DOI: 10.57702/c1snqbd4
title: Clotho

description: Automated audio captioning is a cross-modal translation task for describing the content of audio clips with natural language sentences.
DOI: 10.57702/g3bbps7m
title: AudioCaps

description: Audio-text retrieval aims at retrieving a target audio clip or caption from a pool of candidates given a query in another modality.
DOI: 10.57702/1eph16ps
title: Google Speech Commands Dataset

description: The Google Speech Commands Dataset contains 64,727 one-second-long utterance files which are recorded and labeled with one of 30 target categories.
DOI: 10.57702/e7sroy5h
title: Materials Project Trajectory Dataset

description: The Materials Project Trajectory Dataset is a comprehensive collection of DFT calculations on inorganic materials, including energies, forces, stresses, and magnetic moments.
DOI: 10.57702/s2tlwpmi
title: NIH-Lymph Node (NIH-LN) dataset

description: The NIH-Lymph Node (NIH-LN) dataset includes 176 chest-abdomen-pelvis CT scans.
DOI: 10.57702/h7y6llwu
title: SLSNet: Skin lesion segmentation using a lightweight generative adversarial network

description: The proposed model, MobileGAN, is a lightweight and efficient GAN model for skin lesion segmentation. It combines 1-D kernel factorized networks, position and channel attention, and multiscale aggregation mechanisms with a GAN model.
DOI: 10.57702/8ystibng
title: Dynamic FAUST

description: The Dynamic FAUST dataset contains raw-scanned and registered meshes for 129 sequences of 10 humans with various motions.
DOI: 10.57702/net4r9de
title: Session-based recommendation with graph neural networks

description: Graph Neural Network-based models have been found to be more effective than other models because they can better model the complex relationships that exist between items.
DOI: 10.6084/m9.figshare.27936756.v6
title: GSE185381 29_Nov_2024 sc_adult_AML

description: GSE185381 sc_adult_AML
DOI: 10.57702/ht8rsma4
title: Self-supervised learning: Generative or contrastive

description: Self-supervised learning: Generative or contrastive.
DOI: 10.57702/y6ubwhz3
title: Collaborative graph learning for session-based recommendation

description: Collaborative graph learning for session-based recommendation.
DOI: 10.57702/8j3i4xlw
title: Self-supervised dual-channel attentive network for session-based social recommendation

description: Self-supervised dual-channel attentive network for session-based social recommendation.
DOI: 10.57702/gxb8t4cz
title: PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning

description: Few-shot part segmentation using few-shot support images and pre-trained image-language model CLIP.
DOI: 10.57702/mrcidtmz
title: UKB dataset

description: UKB dataset, a massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence.
DOI: 10.57702/nheyh5sb
title: TuSimple Lane Detection Benchmark

description: The TuSimple dataset contains 6408 annotated high-resolution (1280 × 720) images taken from video footage, each containing 2 to 4 lanes with clear markings.
DOI: 10.15468/dl.qzutdx
title: Occurrence Download

description: A dataset containing 102157543 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 102157543 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013431-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/gnqha4zy
title: DigitalGlobe's Open Data Program

description: The dataset is used for training and validation of the segmentation networks.
DOI: 10.57702/4spvurdd
title: Breast Cancer Diagnosis Using Machine Learning Techniques

description: Breast cancer is one of the most threatening diseases in women’s life; thus, the early and accurate diagnosis plays a key role in reducing the risk of death in a patient’s life. Mam-mography stands as the reference technique for breast cancer screening; nevertheless, many countries still lack access to mammograms due to economic, social, and cultural issues.
DOI: 10.57702/app2dqd9
title: Thermography Database

description: The dataset for thermography contains IR images (digitalized mammograms and clinical data) obtained from patients of the Antonio Pedro University Hospital.
DOI: 10.57702/1if6rvg0
title: Electrical Impedance Tomography Database

description: The dataset for electrical impedance tomography (EIT) contains features from breast tissue biopsies.
DOI: 10.57702/pn17959a
title: Blood Biomarkers Database

description: The dataset for blood biomarkers contains features from blood tests.
DOI: 10.57702/qksfbbs1
title: MEGA-TTS 2: BOOSTING PROMPTING MECHANISMS FOR ZERO-SHOT SPEECH SYNTHESIS

description: Zero-shot text-to-speech aims to synthesize voices with unseen speech prompts, which significantly reduces the data and computation requirements for voice cloning by skipping the fine-tuning process.
DOI: 10.57702/f5ygmbu5
title: NCI

description: The NCI dataset is a biological dataset used for anticancer activity classification.
DOI: 10.57702/s0u7266y
title: TRIANGLES

description: The TRIANGLES dataset contains ten different graph classes, corresponding to the number of triangles in each graph in the dataset.
DOI: 10.57702/y66x54m4
title: subImageNet

description: The dataset used in the paper is subImageNet, a subset of ImageNet.
DOI: 10.57702/bn8ojnqz
title: V3Det: Vast Vocabulary Visual Detection Dataset

description: V3Det is a vast vocabulary visual detection dataset, containing extremely large categories, which consist of 13,029 categories on real-world images.
DOI: 10.15468/dl.mhxfm7
title: Occurrence Download

description: A dataset containing 211174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Asia)",
 "TaxonKey is Prunus avium (L.) L.",
 "Year 1999-2015"
 ]
}

 The dataset includes 211174 records from 853 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013449-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/mztjqv1q
title: MiniImagenet

description: The MiniImagenet dataset is a benchmark for few-shot learning, consisting of 60,000 images from 21 classes, each with 300 images.
DOI: 10.57702/k4s3m7ru
title: BRATS 2018, 2019 and 2020

description: The BRATS 2018, 2019 and 2020 datasets are used for training and evaluation of the proposed 3D UNet model for brain tumor segmentation.
DOI: 10.57702/zcycdx6o
title: Minimal Flow Unit (MFU) dataset

description: The dataset is a 3D turbulent flow with extreme events, specifically the Minimal Flow Unit (MFU) with quasi-relaminarization events.
DOI: 10.57702/tdgza5xv
title: Student-t distribution

description: The dataset used in the paper is a Student-t distribution with a scale parameter of 0.3 and a degree of freedom of 5.
DOI: 10.15468/dl.bcetgk
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lycaena cupreus snowi (W.H.Edwards, 1881)",
 "Year 1846-2024"
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013532-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/di8grqca
title: EMODB

description: The EMODB dataset is a German language speech library containing about 535 audio clips, each ranging from 1 to 10 seconds long, covering seven different emotional expressions.
DOI: 10.15468/dl.mjq5dn
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Panicum virgatum L.",
 "Year 1000-2024"
 ]
}

 The dataset includes 158 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013537-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3cbbjn
title: Occurrence Download

description: A dataset containing 574 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrocotyle pusilla A.Rich."
 ]
}

 The dataset includes 574 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013535-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/6mlblmxg
title: FAQ dataset

description: The dataset used for FAQ sentence labeling.
DOI: 10.57702/3ro7907m
title: ATOM3D

description: The Atom3D dataset is a benchmark for molecular 3D modeling.
DOI: 10.15468/dl.zcu5du
title: Occurrence Download

description: A dataset containing 270 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Locality is one of (Xalisco, COMPOSTELA - NAYARIT - COMPOSTELA, Bahia De Banderas)",
 "StateProvince is Nayarit"
 ]
}

 The dataset includes 270 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013538-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9htmrs
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Locality is JALA IXTLAN DEL RIO, NAY.",
 "OccurrenceStatus is Present",
 "StateProvince is Nayarit"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013540-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/7g37abi4
title: Surface Rearrangement Dataset

description: A simulated dataset of diverse, high-level preferences representing a population, used to pretrain good initializations and adapt to user preferences.
DOI: 10.57702/5sqkn9uh
title: Cap3D dataset

description: The Cap3D dataset is a large-scale dataset of 3D models with captions.
DOI: 10.57702/hslzbwm3
title: DAVIS16

description: A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation.
DOI: 10.57702/1iwiysa5
title: SegTrack-V2

description: Video segmentation by tracking many figure-ground segments.
DOI: 10.57702/fywmb99z
title: One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications

description: The dataset used in the paper is a text-to-image diffusion model, which is a type of generative model that can generate images from text prompts.
DOI: 10.15468/dl.nzcrwx
title: Occurrence Download

description: A dataset containing 39286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tyto alba (Scopoli, 1769)"
 ]
}

 The dataset includes 39286 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013534-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/u5kmbv3e
title: DAVIS-2016

description: Video object segmentation is a fundamental task in many important areas such as autonomous driving, robotic manipulation, video surveillance, and video editing.
DOI: 10.15468/dl.uubbsb
title: Occurrence Download

description: A dataset containing 1016 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((-71.50854 3.99837,-71.50737 3.86747,-71.32563 3.86216,-71.32023 4.00069,-71.50854 3.99837)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chordata",
 "Year 2014-2024"
 ]
}

 The dataset includes 1016 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013541-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/4lwqdjc0
title: Diffusion Time-step Curriculum for One Image to 3D Generation

description: Diffusion Time-step Curriculum for One Image to 3D Generation
DOI: 10.57702/lxnbfrun
title: Nerdi: Single-view nerf synthesis with language-guided diffusion.

description: Nerdi: Single-view nerf synthesis with language-guided diffusion.
DOI: 10.57702/g9p6et3v
title: DAFAR: Defending against Adversaries by Feedback-Autoencoder Reconstruction

description: Deep learning has shown impressive performance on challenging perceptual tasks and has been widely used in software to provide intelligent services. However, researchers found deep neural networks vulnerable to adversarial examples.
DOI: 10.57702/1jt6jxpk
title: Responsa Project dataset

description: The Responsa Project dataset consists of more than 3M annotated letters from the Responsa Project dataset.
DOI: 10.15468/dl.wwq58s
title: Occurrence Download

description: A dataset containing 8863 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 8863 records from 271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013543-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/sxousvrl
title: Dataset for Synthetic Image Detection

description: The dataset used in this work is a large test dataset containing 32,000 real and fake images from 18 models.
DOI: 10.57702/pv5lscfm
title: UCI EEG Dataset

description: The UCI EEG dataset consists of EEG signals from two groups of subjects - alcoholic individuals and controls. The dataset has three attributes: alcoholism, stimulus condition, and subject identity.
DOI: 10.57702/79j2v09j
title: EEG Disguising Dataset

description: The EEG dataset used in this paper consists of EEG signals with dummy identities, obtained by applying grand average on EEG spectrums across subjects within a group that have common attributes.
DOI: 10.57702/9q1l903a
title: LEVIR-CD(4×)

description: LEVIR-CD(4×) is a dataset for cross-resolution change detection.
DOI: 10.15468/dl.d2rq79
title: Occurrence Download

description: A dataset containing 35470 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptosphaeriaceae"
 ]
}

 The dataset includes 35470 records from 398 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013542-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1065067.10fu
title: SH1065067.10FU

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/sh1065073.10fu
title: SH1065073.10FU

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/sh1065077.10fu
title: SH1065077.10FU

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/sh1065083.10fu
title: SH1065083.10FU

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.