cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/qdljcjv3
title: Caltech-UCSD Birds (CUB) 200-2011

description: Caltech-UCSD Birds (CUB) 200-2011 is a frequently used benchmark for unsupervised image segmentation. It consists of 11,788 images from 200 bird species.
DOI: 10.57702/eyjfthk8
title: FGVC Aircraft (Airplanes)

description: FGVC Aircraft (Airplanes) contains 102 different aircraft model variants with 100 images of each.
DOI: 10.57702/1e4362sg
title: MIT Places2

description: MIT Places2 is a scene-centric dataset with more than 10 million images consisting of over 400 unique scene classes.
DOI: 10.57702/pkkhyrke
title: Singapore Whole-sky IMaging CATegories (SWIMCAT)

description: Singapore Whole-sky IMaging CATegories (SWIMCAT) contains 784 images of five categories: patterned clouds, clear sky, thick dark clouds, veil clouds, and thick white clouds.
DOI: 10.57702/49zdxji5
title: CIFAR-10 and CIFAR-100 Datasets

description: The CIFAR-10 and CIFAR-100 datasets are used to evaluate the performance of the commentaries curriculum.
DOI: 10.57702/p8c76oq1
title: SVHN Dataset

description: The dataset used in the paper is a collection of images from the SVHN dataset, along with labels. The dataset is used for image classification.
DOI: 10.57702/u7285t7k
title: ICML archive

description: The dataset used in the paper is the ICML archive, which contains papers and code from the ICML conferences.
DOI: 10.57702/79hpdry1
title: InterHuman

description: Humanoid Reaction Synthesis is pivotal for creating highly interactive and empathetic robots that can seamlessly integrate into human environments, enhancing the way we live, work, and communicate.
DOI: 10.57702/jlruol0p
title: Chi3D

description: Humanoid Reaction Synthesis is pivotal for creating highly interactive and empathetic robots that can seamlessly integrate into human environments, enhancing the way we live, work, and communicate.
DOI: 10.57702/qidvbliu
title: KITTI object detection benchmark dataset

description: The KITTI object detection benchmark dataset.
DOI: 10.57702/tp126b98
title: NTU-4A

description: The NTU-4A dataset is derived from the NTU-Original dataset, using the 4A pipeline to generate synthetic data.
DOI: 10.57702/8xlom96t
title: H36M-Original

description: The H36M-Original dataset consists of 6 action classes, with 16 frames per class.
DOI: 10.57702/tklcxbtw
title: PointConvFormer: Revenge of the Point-based Convolution

description: PointConvFormer is a novel point cloud layer that combines ideas from point convolution and transformers.
DOI: 10.57702/trmjuwcq
title: SemanticKitti

description: SemanticKitti is a large-scale street view point cloud dataset for 3D semantic segmentation.
DOI: 10.57702/dqm2m8ty
title: FlyingThings3D

description: Dense pixel matching is required for many computer vision algorithms such as disparity, optical flow or scene flow estimation. Feature Pyramid Networks (FPN) have proven to be a suitable feature extractor for CNN-based dense matching tasks.
DOI: 10.57702/q25bws77
title: Synthetic Ultrasonic Testing Data

description: Synthetic datasets generated from semi-analytical simulations for training 3D convolutional neural networks for defect detection in volumetric ultrasonic testing data.
DOI: 10.57702/wbl0eorw
title: Experimental Ultrasonic Testing Data

description: Experimental ultrasonic testing data collected from carbon fiber reinforced polymer composites with manufactured defects.
DOI: 10.57702/egmcq1dd
title: Occluded Prohibited Items X-ray (OPIXray) image benchmark

description: The Occluded Prohibited Items X-ray (OPIXray) image benchmark is a high-quality object detection dataset for security inspection, containing 8885 X-ray images of 5 categories of cutters.
DOI: 10.57702/i287o181
title: SIXray

description: SIXray is a large-scale X-ray dataset containing 1059231 X-ray images, but the positive samples are less than 1% to mimic a similar testing environment to the real-world scenario.
DOI: 10.57702/she5fdly
title: D4RL: Datasets for deep data-driven reinforcement learning

description: D4RL: Datasets for deep data-driven reinforcement learning.
DOI: 10.57702/avgxk6wi
title: Realistic Synthetic NeRF dataset

description: The Realistic Synthetic NeRF dataset is a dataset for training neural radiance fields.
DOI: 10.57702/v3gb4bfx
title: Real Forward-Facing dataset

description: The Real Forward-Facing dataset is a dataset for training neural radiance fields.
DOI: 10.57702/a2vk9iu0
title: Semi-synthetic tool segmentation dataset

description: The dataset is used for training a convolutional neural network for surgical tool segmentation. It is generated by blending real images with synthetic instruments.
DOI: 10.57702/h40trjlk
title: RoboTool dataset

description: The dataset is used for testing the performance of the semi-synthetic tool segmentation model. It is a real clinical dataset containing manually annotated images.
DOI: 10.57702/4xvfxhgw
title: EndoVis2017 dataset

description: The dataset is used for testing the performance of the semi-synthetic tool segmentation model. It is a real clinical dataset containing manually annotated images.
DOI: 10.57702/6wclop7o
title: Fake It Till You Make It

description: The dataset used in the paper for face analysis in the wild using synthetic data alone.
DOI: 10.57702/c0hvc01f
title: UCF101D

description: The UCF101D dataset is used for spatio-temporal action detection task.
DOI: 10.57702/l9nqen9v
title: SST2, SST5, MR, IMDB, Ag news

description: The dataset used for sentence classification task
DOI: 10.57702/e4f1zvhg
title: KITTI MOTS

description: Multi-object tracking and segmentation (MOTS) dataset, with dense instance segment annotations.
DOI: 10.57702/0tuzp4so
title: The WU-Minn human connectome project: an overview

description: The Human Connectome Project (HCP) is a large-scale neuroimaging study that aims to create a detailed map of the human brain's neural connections.
DOI: 10.57702/dqpiwmob
title: Coronary Artery Stenosis Score Classification

description: The dataset is used for stenosis score classification in coronary artery disease using MPR images.
DOI: 10.57702/7p2e9un8
title: Synthetic live cell microscopy videos generated using BVDM

description: Synthetic live cell microscopy videos generated using BVDM
DOI: 10.57702/4ezxl9ck
title: GTA5 → Cityscapes

description: The GTA5 dataset is a synthetic dataset for semantic segmentation, and the Cityscapes dataset is a real-world dataset for semantic segmentation.
DOI: 10.57702/h10q8woy
title: SYNTHIA → Cityscapes

description: The SYNTHIA dataset is a synthetic dataset for semantic segmentation, and the Cityscapes dataset is a real-world dataset for semantic segmentation.
DOI: 10.57702/0vperfpg
title: Augmented 2D-TAN: A Two-stage Approach for Human-centric Spatio-Temporal Video Grounding

description: Human-centric spatio-temporal video grounding (HC-STVG) task aims to localize a spatio-temporal tube of the target person indicated by a language description.
DOI: 10.57702/foruczhy
title: MuJoCo Benchmark

description: The dataset used in the paper is the MuJoCo benchmark, which is a collection of robotic manipulation tasks.
DOI: 10.57702/3bsdbca2
title: VGG-16 and ResNet-50 DNNs

description: The VGG-16 and ResNet-50 DNNs are used as victim DNNs in the attack.
DOI: 10.57702/uhvy6qrr
title: Human Connectome Project (HCP) S1200 dataset

description: The Human Connectome Project (HCP) S1200 dataset comprises resting-state and task-based fMRI data from 1,000 healthy participants.
DOI: 10.57702/4k4s9x4k
title: Automated segmentation of 3-D body composition on computed tomography

description: A cohort of 100 CT scans acquired from The Cancer Imaging Archive (TCIA) was used to develop and validate a computer tool for automatic and simultaneous segmentation of body composition depicted on computed tomography (CT) scans.
DOI: 10.57702/62e5tbyj
title: MNIST and Fashion MNIST datasets

description: The MNIST dataset is a large dataset of handwritten digits, and the Fashion MNIST dataset is a similar dataset but with different styles.
DOI: 10.57702/apbqmp7u
title: Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

description: Multi-agent environments for training and testing the proposed Multi-Agent Actor-Critic (MAAC) algorithm.
DOI: 10.57702/fpksgmpj
title: DiFashion: Generative Outfit Recommendation

description: Generative Outfit Recommendation (GOR) task, DiFashion model for personalized outfit generation and recommendation
DOI: 10.57702/m1nnyv6s
title: iFashion dataset

description: iFashion dataset for outfit recommendation and fashion image synthesis
DOI: 10.57702/0ne4fy0i
title: Human-level control through deep reinforcement learning

description: The dataset contains data from human-level control through deep reinforcement learning.
DOI: 10.57702/xswde8vs
title: Battery Electric Vehicles Dataset

description: The dataset used for the purpose of this research was given by the Institute of Transportation Studies at the University of California, Davis. The dataset includes all of trip information with day of the trip, the hour each trip started and ended, the state of battery such as percentage of battery charged in the beginning of each trip and how much percentage the battery drained after each trip.
DOI: 10.57702/gn87rgsd
title: COCO2017-Val

description: The dataset used in this paper for training and testing the CV-VAE model.
DOI: 10.5281/zenodo.11370798
title: Computational Sociolinguistics: An Emerging Multidisciplinary Research Area

description: A TXT consisting in the keywords used for the 62 searches carried out in the Web of Science (WoS) database in order to look for academic publications related to Computational Sociolinguistics.

 

A CSV and a XLSX with the same information: the corpus of unique publications (i.e., 3,454) obtained from the searches conducted in WoS using the queries from the TXT file. They include two additional columns at the end: 'Article Title_clean' and 'Abstract_clean'. They are the normalised titles and abstracts of the publications; they are ready for further analysis on the values of these columns.
DOI: 10.5281/zenodo.11370799
title: Computational Sociolinguistics: An Emerging Multidisciplinary Research Area

description: Raw data consisting in datasets downloaded from three databases under the query "Computational Sociolinguistics": sixteen CSVs in the case of Scopus, one XLS in the case of WoS, and one XLSX in the case of Dimensions.
DOI: 10.5281/zenodo.13991249
title: Computational Sociolinguistics: An Emerging Multidisciplinary Research Area

description: A TXT consisting in the keywords used for the searches carried out in the Web of Science (WoS) database in order to look for academic publications related to Computational Sociolinguistics.
DOI: 10.5281/zenodo.13991293
title: Computational Sociolinguistics: An Emerging Multidisciplinary Research Area

description: A TXT consisting in the keywords used for the searches carried out in the Web of Science (WoS) database in order to look for academic publications related to Computational Sociolinguistics.
DOI: 10.5281/zenodo.14039621
title: Computational Sociolinguistics: An Emerging Multidisciplinary Research Area

description: A TXT consisting in the keywords used for the 62 searches carried out in the Web of Science (WoS) database in order to look for academic publications related to Computational Sociolinguistics.
DOI: 10.57702/pbq46yci
title: Stable video diffusion: Scaling latent video diffusion models to large datasets

description: The dataset used in this paper for training and testing the SVD model.
DOI: 10.57702/yrlcu2dg
title: Videocrafter2: Overcoming data limitations for high-quality video diffusion models

description: The dataset used in this paper for training and testing the Videocrafter2 model.
DOI: 10.57702/h0ei78hg
title: ACDC 2017 segmentation database

description: The ACDC 2017 segmentation database contains cine MRI short-axis slices acquired with 1.5T or 3.0T MRI scanners.
DOI: 10.57702/x89af9x9
title: Kitchen Scenes Dataset

description: A new multi-view RGB-D dataset for object instance detection and recognition of commonly encountered household objects in realistic settings.
DOI: 10.57702/o00cdxnj
title: BigBird Dataset

description: A large-scale 3D database of object instances for scene understanding.
DOI: 10.57702/6eh598t0
title: NYUD-V2 Dataset

description: A dataset for indoor segmentation and support inference from RGB-D images.
DOI: 10.57702/rexapcpn
title: WRGB-D Scenes Dataset

description: A large-scale hierarchical multi-view RGB-D object dataset.
DOI: 10.57702/yvbpz2vz
title: SwinIR

description: The SwinIR dataset is a benchmark for image restoration.
DOI: 10.57702/ddklx57l
title: Lightweight Facial Attractiveness Prediction Using Dual Label Distribution

description: Facial attractiveness prediction (FAP) aims to assess facial attractiveness automatically based on human aesthetic perception.
DOI: 10.57702/fhrbbcsg
title: Scut-fbp: A Benchmark Dataset for Facial Beauty Perception

description: Scut-fbp: A benchmark dataset for facial beauty perception.
DOI: 10.57702/xp2qk9pg
title: Rain100H

description: Synthetic rainy images dataset for training and testing the proposed LPNet for single image deraining.
DOI: 10.57702/1co9ekyx
title: Rain200H

description: The dataset used for training and testing the proposed method for image deraining.
DOI: 10.57702/lrivc26r
title: Rain800

description: The dataset used for training and testing the proposed method for image deraining.
DOI: 10.57702/yr69pwau
title: KEEL Dataset Repository

description: The KEEL dataset repository contains 58 binary-class imbalanced datasets.
DOI: 10.57702/ohxx4y9s
title: ScanObjectNN

description: Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen classes to the unseen classes.
DOI: 10.57702/b1bhz24j
title: LJSpeech and VCTK datasets

description: The LJSpeech dataset contains 13,100 22kHz audio clips of a female speaker. The VCTK dataset consists of 108 native English speakers with various accents.
DOI: 10.57702/2b3el5d8
title: D2SA

description: The D2SA dataset is a class-specific amodal segmentation dataset, containing 2000 and 3600 original and artificially augmented images for training and validation.
DOI: 10.57702/p3b3128x
title: BIT: Bi-Level Temporal Modeling for Efficient Supervised Action Segmentation

description: Action segmentation dataset for supervised action segmentation
DOI: 10.57702/l6bg1y73
title: The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human

description: Action segmentation dataset for supervised action segmentation
DOI: 10.57702/n998hkjk
title: Cross-task weakly supervised learning from instructional videos

description: Weakly supervised action segmentation dataset
DOI: 10.57702/330pnp8k
title: A Database for Fine-Grained Activity Detection of Cooking Activities

description: Action segmentation dataset for supervised action segmentation
DOI: 10.57702/gs26gtrt
title: Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos

description: Action segmentation dataset for supervised action segmentation
DOI: 10.57702/sfh8ym63
title: Asformer: Transformer for Action Segmentation

description: Action segmentation dataset for supervised action segmentation
DOI: 10.57702/wv9ke4be
title: SafeSea dataset

description: The SafeSea dataset is created using the SafeSea method, involving the transformation of 300 calm ocean background images originally sourced from the 'SeaDroneSee' dataset.
DOI: 10.57702/m8vm7vxd
title: Vais dataset

description: The Vais dataset is a benchmark for recognizing maritime imagery in the visible and infrared spectrums.
DOI: 10.57702/b4pki3r0
title: Hybrid GNN approach for predicting node data for 3D meshes

description: The dataset is used for training a hybrid GNN approach for predicting node data for 3D meshes.
DOI: 10.57702/m0asmqdb
title: Self-Collected Dataset

description: The dataset used in the paper is a self-collected outdoor dataset, which includes scenes with many plants and texture-less areas.
DOI: 10.57702/djgv18v3
title: 711 Dataset

description: The dataset used in the paper is a large-scale challenging scene dataset, which includes outdoor scenes with many plants and texture-less areas.
DOI: 10.57702/z9yj2bka
title: Diff-OP3D: Bridging 2D Diffusion for Open Pose 3D Zero-Shot Classification

description: A more challenging benchmark for 3D zero-shot classification to recognize unseen 3D objects with uncertain poses.
DOI: 10.57702/ts2biy9c
title: ModelNet10‡

description: A benchmark for 3D zero-shot classification to recognize unseen 3D objects with uncertain poses.
DOI: 10.57702/13fd3b62
title: McGill‡

description: A benchmark for 3D zero-shot classification to recognize unseen 3D objects with uncertain poses.
DOI: 10.57702/o65dic0v
title: Panel Study of Income Dynamics (PSID)

description: The PSID dataset contains a large amount of data in the US over 50 years. The dataset includes a wide range of variables on income, employment, education, economic, social, health-related factors and many other aspects of life for each individual and their family members.
DOI: 10.57702/vsdkp8kr
title: C3: Concentrated-Comprehensive Convolution and its application to semantic segmentation

description: The proposed Concentrated-Comprehensive Convolution (C3) block for lightweight semantic segmentation.
DOI: 10.57702/c90r8iu7
title: Expanding small-scale datasets with guided imagination

description: The dataset is used for image generation and editing tasks.
DOI: 10.57702/12n2h0xa
title: LSMDC

description: The LSMDC movie description dataset consists of 118,081 short video clips extracted from 202 movies, each annotated with a single caption.
DOI: 10.57702/d8wjkgdy
title: DiDeMo

description: The DiDeMo dataset is a large-scale video-text dataset, containing 10,000 videos and 40,000 annotations.
DOI: 10.57702/u7stx9cq
title: xBD: A dataset for assessing building damage from satellite imagery

description: A dataset for assessing building damage from satellite imagery
DOI: 10.57702/6l6py7mw
title: xView2: 1st place solution

description: A dataset for assessing building damage from satellite imagery
DOI: 10.57702/a35io3l5
title: Vulnerability of Antarctica’s ice shelves to meltwater-driven fracture

description: A dataset for assessing glacier damage from satellite imagery
DOI: 10.14473/csda/psssu5
title: SYRI Evropská unie v učebnicích občanského vzdělávání – limity, inovace a výzvy 2022

description: Výzkum zkoumal zobrazování EU v didaktických textech občanské výchovy a vlastivědy na základních školách. Výsledkem je databáze vytvořená kódováním didaktických materiálů předmětu občanské výchovy a vlastivědy pro první a druhý stupeň českých základních škol. Výsledný korpus obsahuje celkem 22 didaktických materiálů, z toho 11 učebnic, 7 příruček učitele a 4 pracovní sešity. 
Kódovací schéma pokrývá následující oblasti: aktéři spjatí s EU, evropské občanství, hodnocení EU, interaktivní prvky, relevance tématu EU, metody výuky, témata spjatá s EU, vizuální prezentace učiva – obrazové komponenty učebnic.
Tematické oblasti pokryté v datech jsou tyto: množství prostoru, které je Evropské unii věnováno na stránkách učebnic, souvislosti, ve kterých je EU zmiňována, aktéři a témata na která je kladen důraz, přítomnost hodnocení a relevance EU pro jednotlivé skupiny, didaktické postupy a úkoly, které učebnice navrhují ve výuce o EU, prezentace učiva po vizuální stránce.
description: Data budou zpřístupněna po ukončení projektu SYRI (konec roku 2025). Data budou zpřístupňována konkrétním zájemcům na vyžádání,
DOI: 10.57702/mvrd0jkt
title: HR Human: Modeling Human Avatars with Triangular Mesh and High-Resolution Textures from Videos

description: Real-world datasets for reconstructing human avatars from monocular video, including ZJU-MoCap and People-Snapshot.
DOI: 10.57702/ock2909r
title: Video based reconstruction of 3D people models

description: Real-world dataset for reconstructing 3D people models from monocular video.
DOI: 10.57702/240wzmcw
title: Total capture: A 3D deformation model for tracking faces, hands, and bodies

description: Dataset for tracking faces, hands, and bodies in videos.
DOI: 10.57702/z0bsn2we
title: RSNA MICCAI PNG

description: The RSNA-MICCAI PNG dataset is a dataset for training deep learning models on mpMRI scans.
DOI: 10.57702/3zztvyys
title: SynthRAD dataset

description: Medical image segmentation dataset used for pre-training and fine-tuning the SwinFUSE model.
DOI: 10.57702/z5gq3mt5
title: Medical Segmentation Decathlon (MSD) dataset

description: The Medical Segmentation Decathlon (MSD) dataset contains 282 CT scans in portal venous phase, all of which are pathological cases with pancreas and tumor annotation.
DOI: 10.57702/ljrljea3
title: SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity

description: The proposed SSIMLayer is a new nonlinear computational layer of high learning capacity to the deep convolutional neural network architectures.
DOI: 10.57702/5euirb64
title: Spike dataset

description: The dataset used in the paper is a spike dataset generated from RGB frames of four open access outdoor datasets, including Kitti, Driving Stereo, Driving Stereo Weather, and Virtual Kitti.
DOI: 10.57702/co3uycuu
title: Driving Stereo

description: The dataset used in the paper is a spike dataset generated from RGB frames of four open access outdoor datasets, including Kitti, Driving Stereo, Driving Stereo Weather, and Virtual Kitti.
DOI: 10.57702/wzn2r8el
title: Driving Stereo Weather

description: The dataset used in the paper is a spike dataset generated from RGB frames of four open access outdoor datasets, including Kitti, Driving Stereo, Driving Stereo Weather, and Virtual Kitti.
DOI: 10.57702/kcfr4cek
title: Virtual Kitti RGB

description: The dataset used in the paper is a spike dataset generated from RGB frames of four open access outdoor datasets, including Kitti, Driving Stereo, Driving Stereo Weather, and Virtual Kitti.
DOI: 10.57702/i8tw1h75
title: MST: Masked Self-Supervised Transformer for Visual Representation

description: The proposed method is a self-supervised learning approach for visual representation learning, which can explicitly capture the local context of an image while preserving the global semantic information.
DOI: 10.57702/uatmnerr
title: MSCOCO dataset

description: The MSCOCO dataset is a large-scale image captioning dataset, containing 113,287 images with 5,000 validation images and 5,000 test images. The dataset is used for training and evaluating image captioning models.
DOI: 10.57702/3hb2kln1
title: ROSITA dataset

description: The ROSITA dataset is used to train a word-region alignment model.
DOI: 10.57702/r5bjro81
title: ViLBERT dataset

description: The ViLBERT dataset is used to train a two-stream architecture model.
DOI: 10.57702/q460qz5x
title: CLIP dataset

description: The CLIP dataset is used to train a contrastive learning model.
DOI: 10.57702/d5jc63em
title: LXMERT dataset

description: The LXMERT dataset is used to train a two-stream architecture model.
DOI: 10.57702/0vmqzyxj
title: CATH 4.3

description: The dataset used in the paper for secondary structure-guided novel protein sequence generation with latent graph diffusion.
DOI: 10.57702/vgsw8jn3
title: Synthetic datasets A and B

description: Two synthetic datasets A and B, each consists of 32 images in the resolution of 64x64, with each image contains one vertical line at a different position
DOI: 10.57702/f0i3l5kt
title: Car and Chair datasets

description: Car dataset and chair dataset, both consist of images of 3D rendered objects with varying azimuth angles
DOI: 10.57702/9hcatxs8
title: Shoes and Handbags datasets

description: Shoes dataset and handbags dataset, both consist of images of shoes and handbags
DOI: 10.57702/zsoxqtyf
title: Flickr30k

description: The Flickr30k dataset is widely utilized for image caption and image-text retrieval tasks, providing a substantial collection of images with associated captions.
DOI: 10.57702/qp9mrj22
title: KOdak dataset and CSet9 dataset

description: The dataset used in the paper is a benchmark dataset for image denoising tasks.