cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/ztnr5mfh
title: ScanNet-GSReg

description: A scene-level dataset called ScanNet-GSReg, comprising 1379 scenes obtained from the ScanNet dataset and collect an in-the-wild dataset called GSReg, comprising 6 indoor and 4 outdoor scenes.
DOI: 10.57702/iyvzwvv9
title: KLE dataset

description: The KLE dataset is a collection of data generated from a two-dimensional steady-state Darcy flow problem in s spatial dimensions.
DOI: 10.57702/ki716qv5
title: Multi-View 3D Object Detection Network

description: The Multi-View 3D Object Detection Network is a dataset for 3D object detection, consisting of 3D point clouds and corresponding annotations.
DOI: 10.57702/rymvm7su
title: VoxelNet

description: The VoxelNet dataset is a large-scale dataset for 3D object detection, consisting of 3D point clouds and corresponding annotations.
DOI: 10.57702/odhscc4p
title: WMH Segmentation Challenge

description: White matter hyperintensity (WMH) segmentation challenge dataset
DOI: 10.57702/bn6qwwyp
title: CC-Neg

description: CC-Neg is a large-scale dataset of 228, 246 image-caption pairs along with high quality negated captions as distractors.
DOI: 10.57702/nddk8dq4
title: Conceptual Captions (CC-3M)

description: Conceptual Captions (CC-3M) is a large-scale dataset of 300,000 image-caption pairs.
DOI: 10.6084/m9.figshare.27948282
title: O'Brien et al. Non-analog behavior of eastern African herbivore communities during the Last Glacial Period

description: Data for O'Brien et al. <i>Non-analog behavior of eastern African herbivore communities during the Last Glacial Period</i>
DOI: 10.57702/mu05hmwy
title: XCiT: Cross-Covariance Image Transformers

description: Following tremendous success in natural language processing, transformers have re-
DOI: 10.57702/hvj5n72p
title: Teach-DETR: Better Training DETR with Teachers

description: Teach-DETR is a novel training scheme to learn better DETR-based detectors from teacher detectors.
DOI: 10.57702/whepeh5u
title: LVIS v1.0

description: LVIS is a large-vocabulary object detection and instance segmentation dataset.
DOI: 10.57702/wvo7bvpm
title: Hungarian method for the assignment problem

description: The Hungarian method for the assignment problem.
DOI: 10.57702/q759ved0
title: PASCAL VOC2007

description: The PASCAL VOC2007 dataset is a benchmark for object detection and image classification.
DOI: 10.57702/o58xmnpt
title: Tiny YOLO

description: The Tiny YOLO dataset is a benchmark for object detection.
DOI: 10.57702/7p5czilj
title: Shapenet

description: Shapenet is a large-scale synthesis 3D object dataset, where we follow [9] to use the official test splits of chair, car, and motorbike categories for evaluation since they contain relatively complex textures.
DOI: 10.57702/srr812q3
title: Robustifying Vision Transformer without Retraining from Scratch

description: Vision Transformer (ViT) is becoming more popular in image processing. We investigate the effectiveness of test-time adaptation (TTA) on ViT, a technique that has emerged to correct its prediction during test-time by itself.
DOI: 10.57702/fcbr3qdt
title: CIFAR-10-C, CIFAR-100-C, and ImageNet-C

description: CIFAR-10-C, CIFAR-100-C, and ImageNet-C are used as target datasets for corruption robustness evaluation.
DOI: 10.57702/lsoivhdn
title: SVHN, MNIST, and MNIST-M

description: SVHN, MNIST, and MNIST-M are used as source datasets for domain adaptation.
DOI: 10.57702/5h8rjl9j
title: Total-Text

description: Total-Text is a dataset for word-level arbitrary-shaped English text detection, containing 1,255 images for training and 300 images for testing.
DOI: 10.57702/w48gu52s
title: StereoDiffusion

description: StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion Models
DOI: 10.57702/szaukq02
title: NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills

description: A system for applying sim2real approaches to “in the wild” scenes with realistic visuals, and to policies which rely on active perception using RGB cameras.
DOI: 10.57702/qoxfmqkp
title: Boston Housing

description: The Boston Housing dataset contains information about housing prices in the suburbs of Boston, 1970.
DOI: 10.15468/dl.yr5jfq
title: Occurrence Download

description: A dataset containing 15582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingCountry is United States of America",
 "TaxonKey is Ursus americanus Pallas, 1780",
 "Year 2020-2024"
 ]
}

 The dataset includes 15582 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013500-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/yft5x3cv
title: SoilGrids 2.0

description: SoilGrids 2.0: Producing soil information for the globe with quantified spatial uncertainty.
DOI: 10.57702/ab0z66u2
title: Remote sensing techniques for soil organic carbon estimation: A review

description: Remote sensing techniques for soil organic carbon estimation: A review.
DOI: 10.57702/oo4lw8f6
title: MODIS

description: Daytime and nighttime land surface temperature (LSTD and LSTN), the enhanced vegetation index (EVI), and land surface reflectance data were derived from the MOD11A2, MOD13A3, and MOD09A1 products of the Moderate Resolution Imaging Spectroradiometer (MODIS).
DOI: 10.57702/pdrgldn8
title: RaabinWBC

description: Establish a benchmark for white blood cell (WBC) classification. Building on excellent prior work and publicly available datasets, demonstrate that standard CNNs perform well when evaluated under imaging conditions similar to the training data.
DOI: 10.57702/4pgqway2
title: Nature-MI Dataset

description: Human-level recognition of blast cells in acute myeloid leukemia with convolutional neural networks.
DOI: 10.57702/qns0gre3
title: LISC Dataset

description: A large dataset of white blood cells containing cell locations and types, along with segmented nuclei and cytoplasm.
DOI: 10.15468/dl.6e53zk
title: Occurrence Download

description: A dataset containing 5814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nasua nasua (Linnaeus, 1766)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5814 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013501-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/awy4naih
title: SiamCorners: Siamese Corner Networks for Visual Tracking

description: The proposed SiamCorners method for visual tracking, which detects a target as a pair of corners. A common Siamese network is used to integrate target-speciﬁc information into the tracking architecture.
DOI: 10.57702/rt10ntdg
title: NFS30

description: The NFS30 dataset contains 100 videos and a length of 380K frames in total.
DOI: 10.57702/yfz55qr1
title: Waymo Open dataset

description: The Waymo Open dataset provides 798 training sequences and 202 validation sequences. Each sequence contains 200 frames within 20 seconds.
DOI: 10.15139/s3/cwfkin
title: The role of series elastic stiffness and cutaneous sensitivity in facilitating leg muscle responses to unanticipated slips during walking

description: Dataset for all statistically analyzed data for "The role of series elastic stiffness and cutaneous sensitivity in facilitating leg muscle responses to unanticipated slips during walking"
DOI: 10.57702/eha8bwzg
title: Google Research Football (GRF)

description: The dataset used in the paper is Google Research Football (GRF) environment.
DOI: 10.57702/3527ya6s
title: Atari57

description: The dataset used in the paper is Atari57.
DOI: 10.57702/lh8x77nh
title: Variational manifold learning from incomplete data: Application to multislice dynamic MRI

description: Multislice free-breathing and ungated cardiac MRI data
DOI: 10.57702/ay2ui4b6
title: BRATS18

description: The BRATS18 multi-modal brain tumor dataset is used for training and testing the proposed TC-MGAN model.
DOI: 10.57702/kjqerdn8
title: CLIP-guided Prototype Modulating for Few-shot Action Recognition

description: Few-shot action recognition is a promising direction to alleviate the data labeling problem, which aims to identify unseen classes with a few labeled videos.
DOI: 10.57702/2wml4uij
title: SSv2-Full

description: Action recognition is a fundamental topic in video understanding and has made significant progress in recent years.
DOI: 10.57702/ppzpoflz
title: RF-based UAV Detection and Identifiﬁcation System

description: The dataset used in this paper for RF-based UAV detection and identiﬁcation system using machine learning.
DOI: 10.57702/b34oupa7
title: Marine Debris Detection in Satellite Surveillance using Attention Mechanisms

description: Marine Debris Detection in Satellite Surveillance using Attention Mechanisms
DOI: 10.57702/6bqg2bcp
title: Synthetic Barcode Dataset

description: A synthetic barcode dataset and its code for further studies.
DOI: 10.57702/ouiky52y
title: Real Barcode Dataset

description: A real barcode dataset obtained from Amazon.com, Inc.
DOI: 10.57702/ofu460ee
title: Muenster and ArTe-Lab Datasets

description: The Muenster and ArTe-Lab datasets for barcode detection.
DOI: 10.57702/552q5lor
title: MineSegSAT: An Automated System to Evaluate Mining Disturbed Area Extents from Sentinel-2 Imagery

description: Assessing the environmental impact of the mineral extraction industry plays a critical role in understanding and mitigating the ecological consequences of extractive activities. This paper presents MineSegSAT, a model that predicts environmentally impacted areas of mineral extraction sites using the SegFormer deep learning segmentation architecture trained on Sentinel-2 data.
DOI: 10.57702/qg87pq5x
title: COVID-19 Disinformation Categories Corpus

description: The COVID-19 disinformation categories corpus, which provides manual annotation of debunked COVID-19 disinformation into 10 semantic categories.
DOI: 10.57702/ltxezq8o
title: DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

description: Learning from human feedback has been shown to improve text-to-image models. These techniques first learn a reward function that captures what humans care about in the task and then improve the models based on the learned reward function.
DOI: 10.57702/usjzkz6m
title: Global PM2.5 database

description: A global database of annual average ground-level PM2.5 concentrations and corresponding latitude-longitude coordinates.
DOI: 10.57702/4f9uovm4
title: Atmospheric Composition Analysis Group PM2.5 database

description: A database of satellite-derived PM2.5 concentrations for North America from 2010 to 2012.
DOI: 10.57702/mthlkc6f
title: World Health Organization Air Pollution Database

description: A database of air pollution measurements from around the world.
DOI: 10.57702/23z7d8l6
title: ACS-Income Dataset

description: The ACS-Income dataset is a dataset used for evaluating the fairness of machine learning models. It contains information about individuals and their income.
DOI: 10.57702/nd79bx8j
title: FLAME dataset

description: Aerial images for Pile burn detection using drones (UAVs)
DOI: 10.57702/1orlan79
title: MFiX Particle Dataset

description: Particle dataset generated using the Multiphase Flow with Interphase eXchanges (MFiX) simulation code. Feature preserving data reduction is focused on preserving gas bubbles formed in a fluid.
DOI: 10.57702/mz9vkry5
title: TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot

description: Tongue segmentation serves as the primary step in automated TCM tongue diagnosis, which plays a significant role in the diagnostic results.
DOI: 10.57702/sz47gizt
title: TongueSet1, TongueSet2 and TongueSet3

description: TongueSet1, TongueSet2 and TongueSet3 are three datasets used for tongue segmentation.
DOI: 10.57702/pe9mufe9
title: PASCAL VOC 2007, 2012

description: Vehicle detection in real-time is a challenging and important task. The existing real-time vehicle detection lacks accuracy and speed. Real-time systems must detect and locate vehicles during criminal activities like theft of vehicle and road traffic violations with high accuracy.
DOI: 10.57702/bhptxsv6
title: GRAM Road-Traffic Monitoring (GRAM-RTM) video dataset

description: Vehicle detection in real-time is a challenging and important task. The existing real-time vehicle detection lacks accuracy and speed. Real-time systems must detect and locate vehicles during criminal activities like theft of vehicle and road traffic violations with high accuracy.
DOI: 10.57702/ny55rjpi
title: Learnable Tree Filter for Structure-preserving Feature Transform

description: The proposed learnable tree filter for structure-preserving feature transform.
DOI: 10.57702/i4mnmwj4
title: A simpliﬁed electro-chemical lithium-ion battery model

description: A simplified electro-chemical lithium-ion battery model applicable for in situ monitoring and online control
DOI: 10.57702/c2k3xv34
title: Fed-ISIC2019

description: The dataset used in the paper is Fed-ISIC2019, which is a medical image classification dataset. It contains 23,247 samples across eight melanoma classes.
DOI: 10.57702/jbvqdgyo
title: Flowers102

description: The dataset used in the paper is Flowers102, which is a natural image classification dataset. It contains 102 categories of natural images.
DOI: 10.57702/63qfyhp1
title: ImageNet and Super-Resolution Image Datasets

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used ImageNet and several famous super-resolution image datasets.
DOI: 10.57702/a5dgundl
title: DIV2K, OST, FFHQ, and CeleA-HQ Datasets

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used DIV2K, OST, FFHQ, and CeleA-HQ datasets.
DOI: 10.57702/thih63ib
title: BCG Dataset

description: The BCG Dataset contains ballistocardiogram (BCG), electrocardiogram (ECG), photoplethysmogram (PPG), and arterial blood pressure (ABP) waveforms.
DOI: 10.57702/zku4dwb3
title: Spooﬁng Challenge Database

description: The dataset used in the paper is the spooﬁng challenge database.
DOI: 10.57702/vzpbaaf9
title: Replica dataset

description: The Replica dataset provides real-world scenes which we use to evaluate and compare our approach with related work. The dataset consists of high quality 3D reconstructions of 5 offices and 3 apartments.
DOI: 10.57702/q0ef9a7h
title: Music, Book, Amazon, and Yelp

description: The dataset used in the paper is Music, Book, Amazon, and Yelp. The dataset contains user-item interactions and knowledge graph information.
DOI: 10.57702/2rvyogwn
title: DIALCLIP: EMPOWERING CLIP AS MULTI-MODAL DIALOG RETRIEVER

description: DialCLIP is a parameter-efficient prompt-tuning method for multi-modal dialog retrieval. It introduces a multi-modal context prompt generator to learn context features which are subsequently distilled into prompts within the pre-trained vision-language model CLIP.
DOI: 10.57702/6hzjcju2
title: MMDialog

description: MMDialog is a large-scale multi-turn dialogue dataset towards multi-modal open-domain conversation.
DOI: 10.57702/90d67qte
title: Temporal-attentive Covariance Pooling Networks for Video Recognition

description: Video recognition aims to automatically analyze the contents of videos (e.g., events and actions), and has a wide range of applications, including intelligent surveillance, multimedia retrieval and recommendation.
DOI: 10.57702/3lzeok10
title: Position Embedding Needs an Independent Layer Normalization

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors analyzed the input and output of each encoder layer in Vision Transformers (VTs) using reparameterization and visualization.
DOI: 10.57702/uybfqwg3
title: ViT-Lite

description: The dataset used in the paper is ViT-Lite, a small-scale image classification dataset.
DOI: 10.57702/eekdbyiw
title: CCT

description: The dataset used in the paper is CCT, a small-scale image classification dataset.
DOI: 10.57702/j472d7xm
title: T2T-ViT

description: The dataset used in the paper is T2T-ViT, a large-scale image classification dataset.
DOI: 10.57702/456hqxqv
title: Swin

description: The dataset used in the paper is Swin, a large-scale image classification dataset.
DOI: 10.57702/ag5ngte4
title: Instant Neural Graphics Primitives

description: Instant Neural Graphics Primitives with a multiresolution hash encoding
DOI: 10.57702/g10tyn4i
title: Orthogonalization of data via Gromov-Wasserstein type feedback for clustering and visualization

description: The dataset is used for clustering and visualization of data by an orthogonalization process.
DOI: 10.57702/gwxqn2y2
title: Wizard

description: The Wizard dataset is a trick-taking game with 4 players, consisting of 15 rounds. Each round consists of a dealing, bidding, playing, and evaluation phase.
DOI: 10.57702/0lmv5sp3
title: Generative models for production-aware industrial network trafﬁc modeling

description: The dataset contains network trafﬁc data generated from a laser cutting machine deployed in a Trumpf factory in Germany.
DOI: 10.57702/p4hgbsii
title: Directed Chain Generative Adversarial Networks

description: Real-world data can be multimodal distributed, e.g., data describing the opinion divergence in a community, the interspike interval distribution of neurons, and the oscillators’ natural frequencies.
DOI: 10.57702/7jvclamc
title: Indian Pines and University of Pavia datasets

description: Hyperspectral images
DOI: 10.57702/ygtt0dd0
title: Book Categories

description: Two text classiﬁcation data sets for evaluating the quality of interpretability methods.
DOI: 10.57702/eyjndsg4
title: Deep Reinforcement Learning Based Controller for Active Heave Compensation

description: Heave compensation is an essential part in various oﬀshore operations. It is used in various applications, which include on-loading or oﬀ-loading systems, oﬀshore drilling, landing helicopter on oscillating structures, and deploying and retrieving manned submersibles.
DOI: 10.57702/f9h1nwvj
title: KRISO Container Ship (KCS) particulars

description: The KRISO container ship (KCS) is chosen for calculating the dynamic motion in the ocean.
DOI: 10.57702/i57zogaa
title: State Space Model for Hydraulic Drive of the Winch

description: The state space model for hydraulic drive of the winch is described.
DOI: 10.57702/x2bondxr
title: Pan-Cancer Atlas

description: The Pan-Cancer Atlas project provides a comprehensive analysis of cancer genomics data, including gene expression, mutation, and copy number variation data.
DOI: 10.57702/vyj98k2l
title: Adult income dataset

description: The UCI Adult income dataset is used for causal estimation and fair classification tasks. The dataset contains information about age, gender, occupation, marital status, education, and income.
DOI: 10.57702/77g9fyzz
title: SSL-MAE dataset for TransUNet

description: Self-supervised learning dataset for TransUNet pretraining
DOI: 10.57702/r2tax02e
title: Temporal Data Mining

description: The dataset used in this study consists of three clinical datasets: oncology, hepatitis, and diabetes.
DOI: 10.57702/a69uc22f
title: Human Connectome Project Multishell Diffusion and Task-Evoked fMRI Datasets

description: The Human Connectome Project (HCP) dataset contains fMRI and diffusion imaging data from 1,000 individuals.
DOI: 10.57702/42d8sik9
title: Polished & Informed Candidate Scoring

description: Grounding dialogue response generation on external knowledge to produce informative and engaging responses.
DOI: 10.6084/m9.figshare.27936084.v1
title: GSE185381 29_Nov_2024 CITE_adult_AML

description: GSE185381 bone marrow 29/Nov 2024
DOI: 10.5281/zenodo.14262630
title: An evidence map of research assessing the effects of timber harvesting on water quality, biotic and biodiversity indicators in running waters: Data and R code

description: These are the data and R code that accompany the Forest Ecology and Management publication titled "An evidence map of research assessing the effects of timber harvesting on water quality, biotic and biodiversity indicators in running waters".
DOI: 10.5281/zenodo.14262631
title: An evidence map of research assessing the effects of timber harvesting on water quality, biotic and biodiversity indicators in running waters: Data and R code

description: These are the data and R code that accompany the Forest Ecology and Management publication titled "An evidence map of research assessing the effects of timber harvesting on water quality, biotic and biodiversity indicators in running waters".
DOI: 10.57702/1516z5s3
title: DeepMind Control Suite

description: The DeepMind Control Suite is a collection of 20 robotic manipulation tasks, each with 5 different environments and 5 different robot parameters. The tasks are designed to test the generalization capabilities of reinforcement learning agents.
DOI: 10.57702/nx5a5hfw
title: Rotten Tomatoes Movie Reviews (RT) and IMDB

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a sentiment analysis task on two public benchmark datasets: Rotten Tomatoes Movie Reviews (RT) and IMDB.
DOI: 10.57702/rjtr1qhx
title: UTiris

description: The proposed framework consists of two distinct functions, iris detection and recognition. The dataset is split into training data and testing data set and organized into 2 folders, train and test.
DOI: 10.57702/pe0s49x2
title: SUN RGB-D dataset

description: The SUN RGB-D dataset includes 10335 RGB-D captures. The dataset was captured from different RGB-D sensors including Asus Xtion, RealSense, Kinect v1 and Kinect v2. Following the settings proposed by the authors, classes with less than 80 samples are discarded. In the end, 9504 captures remain with 19 different classes.
DOI: 10.57702/eix9nb4i
title: re-OBJ

description: The proposed method uses the ScanNet dataset to evaluate the effectiveness of jointly learning the foreground and background for object instance re-identification.
DOI: 10.57702/w9hvawdw
title: EI2 model for text-driven video editing

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the DAVIS dataset and the Pexels website to gather face videos.
DOI: 10.57702/tzqhdxxj
title: A large and rich EEG dataset for modeling human visual object recognition

description: A large and rich EEG dataset for modeling human visual object recognition.
DOI: 10.57702/d7uioz7b
title: Proposed Framework

description: The proposed framework aims to address the limitations of deep learning applications for ECG signal classiﬁcation. Secondly, we proposed a new classiﬁer for ECG signals. When the classiﬁer was trained in federated settings it was able to improve the overall classiﬁcation performance of the edge devices.
DOI: 10.57702/vf50pze1
title: COVID-19 Detection from X-ray Images

description: The dataset for COVID-19 detection from X-ray images of the chest.
DOI: 10.57702/ch03i1sp
title: NTU-Corridor

description: Cross-Color Person Re-identification tasks
DOI: 10.57702/o9voli19
title: PRCC

description: A dataset containing 33,698 pedestrian images with 221 pedestrian identities.
DOI: 10.57702/uk06s9hq
title: EquiMod: An Equivariance Module to Improve Visual Instance Discrimination

description: Recent self-supervised visual representation methods are closing the gap with supervised learning performance. Most of these successful methods rely on maximizing the similarity between embeddings of related synthetic inputs created through data augmentations.
DOI: 10.57702/188syrhe
title: CIFAR-10, CIFAR-100, Tiny ImageNet, SVHN, iSUN, LSUN

description: CIFAR-10, CIFAR-100, Tiny ImageNet, SVHN, iSUN, LSUN
DOI: 10.57702/ohd1shx6
title: Gaussian Noise, Uniform Noise, Tin (C), Tin (R)

description: Gaussian Noise, Uniform Noise, Tin (C), Tin (R)