cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/o22jeifu
title: Flickr30k-Counting

description: Flickr30k-Counting is a benchmark for object counting.
DOI: 10.57702/yxxoent1
title: Flickr30k-Attributes

description: Flickr30k-Attributes is a benchmark for semantic compositional reasoning.
DOI: 10.57702/3bz4ah7m
title: DS-1, DS-2, DS-3, DS-4, DS-5

description: The dataset used for object detection in industrial scenarios, with a focus on small objects.
DOI: 10.57702/5d78i1wp
title: Flicker2W and LIU4K

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used Flicker2W and LIU4K as their training sets.
DOI: 10.57702/izswe792
title: Kodak, Tecnick, and CLIC 2022

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used Kodak, Tecnick, and CLIC 2022 as their test sets.
DOI: 10.57702/zhz0q5vl
title: BindingDB

description: The dataset is used for compound-protein binding affinity prediction, and it contains 218,615 compound-protein pairs.
DOI: 10.57702/n4mrn7ka
title: Australia's long-term electricity demand forecasting using deep neural networks

description: Monthly electricity consumption data for Australia, including socio-economic and environmental factors.
DOI: 10.57702/0two3jmq
title: Microsoft Video Description Corpus (MSVD)

description: The MSVD dataset is a public video captioning benchmark that contains 1,970 short video clips with 80,000 descriptions.
DOI: 10.57702/guwcoesk
title: MSR Video to Text (MSR-VTT)

description: The MSR-VTT dataset is a large-scale video captioning benchmark that contains 10,000 video clips with 200,000 descriptions.
DOI: 10.57702/1741wixv
title: RoDLA: Benchmarking the Robustness of Document Layout Analysis Models

description: A comprehensive robustness benchmark for Document Layout Analysis (DLA) models, including 450K document images from 3 datasets.
DOI: 10.57702/o4s7sx2u
title: Ntire 2017 challenge on single image super-resolution: Dataset and study

description: Ntire 2017 challenge on single image super-resolution: Dataset and study.
DOI: 10.57702/cerdl1e5
title: Real-world blur dataset for learning and benchmarking deblurring algorithms

description: Real-world blur dataset for learning and benchmarking deblurring algorithms.
DOI: 10.57702/2yukn6gk
title: LOL [51]

description: Low-light image enhancement dataset
DOI: 10.57702/dch5f79y
title: NOD [39]

description: Low-light image enhancement dataset
DOI: 10.57702/z6eb8ekj
title: ExDark [35]

description: Low-light image enhancement dataset
DOI: 10.57702/40lsnn1w
title: DarkFace [60]

description: Low-light image enhancement dataset
DOI: 10.57702/zwjhrhjy
title: BAID [36]

description: Low-light image enhancement dataset
DOI: 10.57702/pfjr2x16
title: ACDC STACOM challenge 2017

description: Cardiac MRI cine registration dataset
DOI: 10.57702/d91xh6rp
title: OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the ImageNet, Places205, and VOC07 datasets for evaluation.
DOI: 10.57702/l4ff85jx
title: Autoencoder-based time series clustering with energy applications

description: Time series clustering dataset
DOI: 10.57702/xks7kdxd
title: CER Smart Metering Project - Electricity Customer Behaviour Trial

description: Electricity consumption dataset
DOI: 10.57702/24nhvbnb
title: ORBIT

description: The ORBIT dataset is a collection of videos recorded on cell phones by people who are blind or low-vision. The dataset consists of 3,822 videos with 486 object categories recorded by 77 blind or low-vision people on their cell phones.
DOI: 10.57702/2ay80nvw
title: Machine Learning Benchmarks for Classiﬁcation of Electrochemical Impedance Spectra

description: The EIS data set, Z, associated with this article was created by QS. It comprises approximately 9,300 synthetic impedance spectra, z ∈ Z that are vectors of impedances, z ∈ Cn.
DOI: 10.57702/sw9t83wu
title: Unsteady Fluid Flows

description: The dataset used in this paper for reduced order modeling of unsteady fluid flows.
DOI: 10.57702/gl9yn91m
title: ISLES 2018 Challenge Dataset

description: The ISLES 2018 challenge dataset includes CT scan, CTP source data, and derived perfusion maps for ischemic stroke lesion segmentation.
DOI: 10.57702/kdxqkin8
title: rMD17

description: The dataset used in this paper is a collection of molecular dynamics trajectories of ten small molecules.
DOI: 10.57702/ye56vmgn
title: 3D Point Clouds

description: The dataset used in this paper is a collection of 3D point clouds.
DOI: 10.57702/tvx6n55z
title: U-Transformer: Self and Cross Attention for Medical Image Segmentation

description: Medical image segmentation remains particularly challenging for complex and low-contrast anatomical structures. In this paper, we introduce the U-Transformer network, which combines a U-shaped architecture for image segmentation with self- and cross-attention from Transformers.
DOI: 10.57702/s7mswve9
title: TCIA pancreas public dataset

description: The TCIA pancreas public dataset contains 82 CT-scans with pixel-level annotations.
DOI: 10.57702/lleslj3t
title: Internal Multi-Organ (IMO) dataset

description: The Internal Multi-Organ (IMO) dataset contains 85 CT-scans annotated with 7 classes.
DOI: 10.57702/s6xhzzox
title: Plenoptic Video Datasets (PVD)

description: Plenoptic Video Datasets (PVD) is a benchmark dataset for 3D video rendering. It contains challenging volumetric effects, view-dependent effects, and complex actions.
DOI: 10.57702/ybfkwxpc
title: Neural 3D Video Synthesis

description: Neural 3D Video Synthesis dataset contains 3D videos synthesized using neural networks.
DOI: 10.57702/cazqoft8
title: Graph Fairing Convolutional Networks for Anomaly Detection

description: Graph Fairing Convolutional Networks for Anomaly Detection
DOI: 10.57702/9ieahe5v
title: Collective classiﬁcation in network data

description: Collective classiﬁcation in network data.
DOI: 10.57702/m5ghss70
title: Pitfalls of graph neural network evaluation

description: Pitfalls of graph neural network evaluation
DOI: 10.57702/i8xrhtrx
title: ImVerde: Vertex-diminished random walk for learning network representation from imbalanced data

description: ImVerde: Vertex-diminished random walk for learning network representation from imbalanced data
DOI: 10.57702/geco8eod
title: UMAP: Uniform manifold approximation and projection for dimension reduction

description: UMAP: Uniform manifold approximation and projection for dimension reduction
DOI: 10.57702/ux49oyvq
title: Im2win: An Efficient Convolution Paradigm on GPU

description: Convolutional neural network (CNN) is an important network model widely used in computer vision, image processing, and scientific computing. CNN consists of an input layer, an output layer, and convolutional layers between them.
DOI: 10.57702/4q70y6uo
title: VoxCeleb: A Large-Scale Speaker Identification Dataset

description: VoxCeleb: A Large-Scale Speaker Identification Dataset
DOI: 10.57702/x8urzvik
title: Mall Dataset

description: The Mall dataset is used for crowd counting, which contains 2000 annotated frames of over 60000 pedestrians with their head positions labeled.
DOI: 10.15468/dl.ra7d6x
title: Occurrence Download

description: A dataset containing 7391080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is one of (FALSE)",
 "OccurrenceStatus is one of (Present)",
 "HasCoordinate is one of (TRUE)",
 "Geometry POLYGON ((-74.00598329181811 40.80567069444212, -74.01801704966867 40.805222584342076, -74.02993443277991 40.80388258763908, -74.04162020584276 40.801663662690714, -74.05296140070753 40.798587265749454, -74.0638484208529 40.794683140968154, -74.07417611131521 40.78998902942976, -74.08384478321402 40.78455030018015, -74.09276118254998 40.7784195070314, -74.1008393936099 40.771655875647845, -74.1080016680777 40.7643247261183, -74.11417917180724 40.75649683684905, -74.11931264214957 40.74824775617574, -74.12335294972807 40.739657068584414, -74.12626155960555 40.73080762284685, -74.12801088787131 40.72178472971162, -74.12858455078114 40.712675337045845, -74.12797750469156 40.703567190495036, -74.12619607613075 40.694547987817835, -74.12325788242899 40.68570453506088, -74.11919164437978 40.67712191266851, -74.11403689341147 40.66888265947455, -74.10784357670552 40.66106598230363, -74.10067156460161 40.65374699861936, -74.09259006546809 40.64699601930321, -74.08367695399204 40.64087787823275, -74.07401801954816 40.63545131485941, -74.06370614194121 40.6307684154657, -74.05284040237935 40.62687411821844, -74.04152513802774 40.62380578653085, -74.02986894891025 40.62159285460947, -74.0179836662752 40.62025654839548, -74.00598329181811 40.619809684421284, -73.99398291736102 40.62025654839548, -73.98209763472599 40.62159285460947, -73.97044144560849 40.62380578653085, -73.95912618125688 40.62687411821844, -73.94826044169503 40.6307684154657, -73.93794856408806 40.63545131485941, -73.92828962964418 40.64087787823275, -73.91937651816814 40.64699601930321, -73.91129501903461 40.65374699861936, -73.90412300693072 40.66106598230363, -73.89792969022477 40.66888265947455, -73.89277493925646 40.67712191266851, -73.88870870120725 40.68570453506088, -73.88577050750548 40.694547987817835, -73.88398907894467 40.703567190495036, -73.88338203285508 40.712675337045845, -73.88395569576491 40.72178472971162, -73.88570502403067 40.73080762284685, -73.88861363390815 40.739657068584414, -73.89265394148667 40.74824775617574, -73.89778741182899 40.75649683684905, -73.90396491555853 40.7643247261183, -73.91112719002632 40.771655875647845, -73.91920540108624 40.7784195070314, -73.92812180042222 40.78455030018015, -73.93779047232101 40.78998902942976, -73.94811816278333 40.794683140968154, -73.95900518292869 40.798587265749454, -73.97034637779346 40.801663662690714, -73.98203215085631 40.80388258763908, -73.99394953396757 40.805222584342076, -74.00598329181811 40.80567069444212))"
 ]
}

 The dataset includes 7391080 records from 310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013536-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/god3ls0d
title: Liver Dataset

description: Liver Dataset
DOI: 10.57702/4umuevj4
title: CEmb-SAM: Segment Anything Model with Condition Embedding

description: Automated segmentation of ultrasound images can assist medical experts with diagnostic and therapeutic procedures. Although using the common modality of ultrasound, one typically needs separate datasets in order to segment, for example, different anatomical structures or lesions with different levels of malignancy.
DOI: 10.57702/kt5ekh7d
title: Indications for neuromuscular ultrasound: expert opinion and review of the literature

description: Indications for neuromuscular ultrasound: expert opinion and review of the literature.
DOI: 10.57702/29mlq7ob
title: Adversarial Color Filter (AdvCF)

description: Adversarial Color Filter (AdvCF) is a novel color transformation attack that makes it possible to achieve non-suspicious adversarial images by optimizing a simple color filter.
DOI: 10.57702/gf1ljgsa
title: DepthP+P: Metric Accurate Monocular Depth Estimation using Planar and Parallax

description: DepthP+P: A method for self-supervised monocular depth estimation using planar and parallax.
DOI: 10.57702/t1jwzxor
title: ICU Length of Stay Dataset

description: The dataset used in this paper is a healthcare dataset containing information about ICU length of stay for patients who have undergone cardiac surgery.
DOI: 10.57702/s1hfxnce
title: Weather Temperature Dataset

description: The dataset used in the paper is a collection of weather temperature data, with features such as minimum and maximum temperature.
DOI: 10.57702/56skqmgl
title: Deep Stochastic Mechanics

description: The dataset used in the paper is a stochastic process that samples from the quantum density, which is a probability distribution over the phase space of a quantum system.
DOI: 10.57702/n6rzdbrl
title: Spacenet Multi-View Dataset

description: The dataset used in this paper is the spacenet multi-view dataset, which includes both multi-date and single-date multi-view RGB images.
DOI: 10.57702/55ki56uc
title: COCO Stuff

description: COCO Stuff dataset is an extension of the COCO dataset, 164,000 images covering 171 classes are annotated with segmentation masks.
DOI: 10.57702/i7g7d9uv
title: Chinese Standard Mandarin Speech Corpus (CSMSC)

description: The Chinese Standard Mandarin Speech Corpus (CSMSC) is a large-scale speech corpus containing 10,000 recorded sentences read by a female speaker.
DOI: 10.57702/0pso8iqv
title: Multi-view Multi-label Anomaly Network Trafﬁc Classiﬁcation based on MLP-Mixer Neural Network

description: Network trafﬁc classiﬁcation is the basis of many network security applications and has attracted enough attention in the ﬁeld of cyberspace security.
DOI: 10.57702/774tm9dq
title: ISCX VPN-non VPN

description: The dataset contains network trafﬁc data, including VPN trafﬁc and non-VPN trafﬁc.
DOI: 10.6084/m9.figshare.26282872
title: Transfemoral amputees stand-up and sit-down with their prescribed microprocessor prostheses. Full-body motion capture and intact-side lower limb EMGs are included.

description: An open biomechanical dataset of 9 above-knee amputees standing up and sitting down using their prescribed knee-ankle prostheses. Full-body 3D motion capture was performed. The dataset includes the data files and required files/functions from Vicon, Visual 3D, and MATLAB. Some subjects used their hands during some repetitions, and during these repetitions, the torque, power, and COP signals were replaced with NaN in the segmented files. Some subjects had issues with EMG artifacts during some repetitions, and during these repetitions, the specific EMG signals with artifacts were replaced with NaN. Several segmentation options are included - based on the intact-side and prosthesis-side; for stand-up, sit-down, and "full" (stand-up-sit-down); and various levels of "zoom out" from the initial segmentation to include part of the trial before and after the segmented movement. <br><br>The dataset has been used (in part) in two journal articles. The two related articles are linked.<br>The dataset is extensively documented as a Data Descriptor which is currently under review. The Data Descriptor will be linked as soon as it is published.
DOI: 10.57702/uniel7an
title: UNB-CIC Tor-non Tor

description: The dataset contains network trafﬁc data, including Tor trafﬁc and non-Tor trafﬁc.
DOI: 10.57702/7lib2mto
title: Topicwise Separable Sentence Retrieval for Medical Report Generation

description: Topicwise Separable Sentence Retrieval for Medical Report Generation
DOI: 10.57702/d88x5kgl
title: IU X-ray

description: IU X-ray dataset is a collection of radiology reports and corresponding chest X-ray images.
DOI: 10.57702/b8hyfa1i
title: PROX

description: Motion synthesis in real-world 3D scenes has recently attracted much attention. However, the static environment assumption made by most current methods usually cannot be satisfied especially for real-time motion synthesis in scanned point cloud scenes, if multiple dynamic objects exist, e.g., moving persons or vehicles.
DOI: 10.15468/dl.syfnj4
title: Occurrence Download

description: A dataset containing 372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation)",
 "Geometry POLYGON((1.91365 42.5583,0.01227 41.67508,-0.06133 39.9577,2.62514 40.27664,4.53879 42.11669,1.91365 42.5583))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (7b4f2f30-a456-11d9-8049-b8a03c50a862, b934f398-a2df-412c-bde2-de176590bc73, 0363cbd4-f666-455e-8e86-0bbddcf51950, 1cd669d0-80ea-11de-a9d0-f1765f95f18b)",
 "TaxonKey is Senecio pterophorus DC."
 ]
}

 The dataset includes 372 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013583-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/v703xw2k
title: ImageNet-1K, ADE20K, and COCO 2017

description: The dataset used in the paper is ImageNet-1K, ADE20K, and COCO 2017.
DOI: 10.57702/tc2z4wrw
title: Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning

description: Automated program repair (APR) has been gaining ground recently. However, a signiﬁcant challenge that still remains is patch overﬁtting, in which APR-generated patches plausibly pass the validation test suite but fail to generalize.
DOI: 10.15468/dl.mu63w6
title: Occurrence Download

description: A dataset containing 20621 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eichhornia crassipes (Mart.) Solms"
 ]
}

 The dataset includes 20621 records from 609 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013582-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/4qfqomq5
title: IDRID

description: The dataset used for medical image synthesis using Generative Adversarial Networks (GANs).
DOI: 10.57702/gjrkd5op
title: Human Connectome Project (HCP) and Open Access Series of Imaging Studies (OASIS) datasets

description: The dataset used in this paper is the Human Connectome Project (HCP) and Open Access Series of Imaging Studies (OASIS) datasets.
DOI: 10.57702/kilzmu25
title: Synthetic dataset for optimal geometry generation

description: A synthetic dataset created for the purpose of training a generative model for optimal geometry generation.
DOI: 10.57702/b4i9wncj
title: Stanford Instrumented Mouthguard Dataset

description: The dataset contains 163 laboratory head impacts partitioned into training, validation, and test sets. The impacts were generated with a linear pneumatic impactor.
DOI: 10.57702/509r3zqq
title: College Football Impact Dataset

description: The dataset contains 118 on-field college football impacts.
DOI: 10.57702/1tpztpv5
title: Post-Mortem Human Subject Impact Dataset

description: The dataset contains 413 post-mortem human subject impacts.
DOI: 10.57702/rosq7wj1
title: Self-Supervised Vision Transformer for Enhanced Virtual Clothes Try-On

description: Virtual clothes try-on has emerged as a vital feature in online shopping, offering consumers a critical tool to visualize how clothing fits.
DOI: 10.57702/96a2etn4
title: Decentralized Multitask Learning

description: The dataset used in the paper is a network of agents with heterogeneous objectives and data.
DOI: 10.57702/kwjl8pk9
title: GEFS dataset

description: The GEFS dataset used for training and evaluation of the SEEDS model.
DOI: 10.57702/frbenv4p
title: ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots

description: A custom CARLA simulator parking lot environment was constructed and used to generate a dataset of human parking maneuvers.
DOI: 10.57702/ghadfg1c
title: EPDnew

description: A cross-species dataset of 150K unique promoter-gene sequences from 15 species, enriching resources for future generative modelling in genomics.
DOI: 10.57702/cbymagxo
title: ScanNet and ArkitScenes

description: The dataset used in the Point2Pix paper, containing point clouds and camera parameters for indoor scenes.
DOI: 10.57702/64lt9tzp
title: GeneCIS

description: GeneCIS is a benchmark for Compositional Image Retrieval, which aims to retrieve the relevant target image in a database.
DOI: 10.57702/sdh8fd1w
title: RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recognition

description: Smiles play a vital role in the understanding of social interactions within different communities, and reveal the physical state of mind of people in both real and deceptive ways. Several methods have been proposed to recognize spontaneous and posed smiles.
DOI: 10.57702/i1vrojhl
title: UVA-NEMO Smile Database

description: The UVA-NEMO Smile Database contains 597 spontaneous and 643 posed smile videos.
DOI: 10.57702/4st9fcq6
title: BBC Database

description: The BBC database contains 20 videos, recorded in 314 × 286 pixels with 25 frames per second.
DOI: 10.57702/j5hwjpp8
title: MMI Facial Expression Database

description: The MMI Facial Expression Database contains 38 labeled posed smiles.
DOI: 10.57702/jpma5xke
title: SPOS Database

description: The SPOS database contains both gray and near-infrared sequences of images in 640 × 480 resolution with 25 frames per second.
DOI: 10.57702/nbge354g
title: Synthetic malaria dataset

description: Synthetic malaria dataset created based on the BBBC041v1 image set, used to model different domain shift scenarios.
DOI: 10.57702/rgxad2ly
title: Multi-scanner canine cutaneous squamous cell carcinoma histopathology dataset

description: Multi-scanner canine cutaneous squamous cell carcinoma histopathology dataset, used for mitotic figure segmentation.
DOI: 10.57702/ro79nse2
title: Multi-scanner canine cutaneous tumor dataset

description: Multi-scanner canine cutaneous tumor dataset, used for tumor segmentation.
DOI: 10.57702/urwqrdli
title: Multi-center, multi-vendor, multi-disease cardiac segmentation dataset

description: Multi-center, multi-vendor, multi-disease cardiac segmentation dataset, used for cardiac segmentation.
DOI: 10.57702/q7g94f6k
title: NeRF realistic synthetic 360° dataset

description: NeRF realistic synthetic 360° dataset, used for training and testing NeRF models for few-shot view synthesis.
DOI: 10.57702/317i52zn
title: Real Smart Meter Data Set

description: Real smart meter data set about water supply temperature for district heating
DOI: 10.57702/j8wd7gz5
title: SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything by Prompt Denoising

description: The paper introduces an online method, named SAM-PD, that applies SAM to track and segment objects throughout the video.
DOI: 10.57702/g3acbhnn
title: Unidentified Video Objects (UVO) 1.0

description: The Unidentified Video Objects (UVO) 1.0 dataset is a benchmark for open-world class-agnostic object segmentation.
DOI: 10.57702/o4rjj4mb
title: 3D Face Model for Pose and Illumination Invariant Face Recognition

description: The 3D face model for pose and illumination invariant face recognition dataset.
DOI: 10.57702/r783klx9
title: SQuAD

description: The dataset used in the paper is a multiple-choice reading comprehension dataset, which includes a passage, question, and answer. The passage is a script, and the question is a multiple-choice question. The answer is one of the options in the multiple-choice question.
DOI: 10.57702/m0svakfr
title: CarSpeedNet: A Deep Neural Network-based Car Speed Estimation from Smartphone Accelerometer

description: A comprehensive dataset of acceleration signals from multiple smartphones, collected from cars navigating through various regions in Israel.
DOI: 10.57702/9znexiea
title: Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks

description: Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks
DOI: 10.57702/k4gebcsa
title: VQA-CP v2 and VQA 2.0

description: The dataset used in the paper is VQA-CP v2 and VQA 2.0, which are two standard datasets for visual question answering.
DOI: 10.57702/6m35dycg
title: COCO Captions and Localized Narratives

description: The dataset used in the paper is COCO captions and Localized Narratives, which are used to generate image descriptions.
DOI: 10.57702/sflv7lsw
title: Pascal VOC 2012

description: The dataset used in the paper is the Pascal VOC 2012 dataset, which is a benchmark for instance segmentation. The dataset consists of 1464 images with 20 class categories and 2.8 objects per image.