cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/8r1cngbz
title: Zoom-VQA: Patches, Frames and Clips Integration for Video Quality Assessment

description: Video quality assessment (VQA) aims to simulate the human perception of video quality, which is influenced by factors ranging from low-level color and texture details to high-level semantic content.
DOI: 10.57702/vlcjtp1s
title: VDPVE

description: VDPVE: VQA dataset for perceptual video enhancement.
DOI: 10.57702/78o207pl
title: UGC-VQA

description: UGC-VQA: benchmarking blind video quality assessment for user generated content.
DOI: 10.15468/dl.9nugsf
title: Occurrence Download

description: A dataset containing 1113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Loliginidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1113 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036981-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/5c9xgdxy
title: RAPIQUE

description: RAPIQUE: rapid and accurate video quality prediction of user generated content.
DOI: 10.57702/tjt87uqw
title: 0.36T MRI dataset

description: The 0.36T MRI dataset was acquired at the University College Hospital, Ibadan, Nigeria.
DOI: 10.57702/jj00nm5h
title: Siamese Meets Diffusion Network: SMDNet for Enhanced Change Detection in High-Resolution RS Imagery

description: The proposed SMDNet model is used for change detection in high-resolution remote sensing images.
DOI: 10.57702/azsa298m
title: Adaptive Online Learning with Regularized Kernel for One-class Classification

description: This paper presents adaptive online learning with regularized kernel for one-class classification.
DOI: 10.57702/gnra0orh
title: One-class classification based on extreme learning and geometric class information

description: One-class classification based on extreme learning and geometric class information.
DOI: 10.57702/si6e3shp
title: The construction of extreme learning machine for one-class classification

description: The construction of extreme learning machine for one-class classification.
DOI: 10.57702/dhgy0wab
title: The construction of extreme learning machine for online and offline one-class classification

description: The construction of extreme learning machine for online and offline one-class classification.
DOI: 10.57702/x4tgwfns
title: DualBind: A Dual-Loss Framework for Protein-Ligand Binding Affinity Prediction

description: Accurate prediction of protein-ligand binding energies is a fundamental task in drug discovery workflow, as it directly influences the prioritization and optimization of potential drug candidates by evaluating their interaction strength with the target.
DOI: 10.57702/xd0017qt
title: CoNLL-2012

description: The CoNLL-2012 shared task dataset is a dataset for coreference resolution tasks.
DOI: 10.57702/z28s7xbq
title: PARSE 2022 Grand Challenge Dataset

description: The dataset is provided by PARSE 2022 Grand Challenge. The dataset contains 200 3D volumes provided in compressed NIFTI (.nii.gz) format and with refined pulmonary labels.
DOI: 10.57702/y0tfkyvs
title: UCR Archive

description: The UCR archive is a collection of univariate time series datasets where classiﬁcation is of importance.
DOI: 10.57702/od9a1zld
title: CIFAR-100 and ImageNet-1k

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the CIFAR-100 and ImageNet-1k datasets for image classification and semantic segmentation tasks.
DOI: 10.57702/ylnbizgr
title: Slot-VLM: SlowFast Slots for Video-Language Modeling

description: Video-Language Models (VLMs), powered by the advancements in Large Language Models (LLMs), are charting new frontiers in video understanding. A pivotal challenge is the development of an efficient method to encapsulate video content into a set of representative tokens to align with LLMs.
DOI: 10.57702/12swgcvf
title: Video-LLaVA

description: Video-LLaVA: Learning united visual representation by alignment before projection.
DOI: 10.57702/b5sykudc
title: S-CIFAR-10

description: The S-CIFAR-10 is constructed by splitting CIFAR-10 into 5 sequential tasks where each task contain 2 classes and 12,000 images.
DOI: 10.57702/v81w9wmw
title: S-CIFAR-100

description: The S-CIFAR-100 is constructed by splitting CIFAR-100 into 10 tasks where each one contains 10 classes and 6,000 images.
DOI: 10.57702/khzazbie
title: P-MNIST

description: The P-MNIST is a dataset containing 10 tasks where the first task is the MNIST dataset.
DOI: 10.57702/yu32cxqt
title: AIST dataset

description: The AIST dataset, which consists of dance videos of 30 human subjects captured from 9 cameras.
DOI: 10.57702/8vd5fqsg
title: LVOS

description: LVOS is a long-term video object segmentation benchmark dataset, consisting of 220 videos with a total duration of 421 minutes.
DOI: 10.57702/qs2spvuy
title: VOT-ST 2021

description: VOT-ST 2021 is a visual object tracking benchmark, consisting of 20 long videos.
DOI: 10.57702/1qejpcii
title: Hpatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors

description: A benchmark and evaluation of handcrafted and learned local descriptors for keypoint detection task.
DOI: 10.57702/wia7u3hs
title: InLoc: Indoor Visual Localization with Dense Matching and View Synthesis

description: A large collection of images with depth acquired by the 3D scanner.
DOI: 10.57702/hqthwi5y
title: 3D Terrain and Building Map

description: A 3D terrain and building map of the simulation area and 3D terrain and building map from 3dbuildings.
DOI: 10.57702/8sym093b
title: Ray-Tracing Simulation

description: A ray-tracing simulation was conducted to predict pseudorange biases caused by reflections due to buildings in an urban environment.
DOI: 10.57702/n26ecz53
title: Farmpins Crop Classiﬁcation Challenge

description: The dataset for South Africa from 'Farmpins Crop Classiﬁcation' Challenge consists of 2497 labels ﬁelds of 9 classes
DOI: 10.57702/1n5u98p0
title: UC Merced Land Use Dataset

description: UC Merced Land Use Dataset (Yang & Newsam, 2010) contains remote sensing satellite images of 21 classes, with 100 images in each class.
DOI: 10.15468/dl.azw276
title: Occurrence Download

description: A dataset containing 448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stenothoidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 448 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036982-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/ipnecnrn
title: Convolution-based Channel-Frequency Attention for Text-Independent Speaker Verification

description: Deep convolutional neural networks (CNNs) have been applied to extracting speaker embeddings with significant success in speaker verification.
DOI: 10.57702/5be7vdfj
title: SynthL

description: Synthetic dataset for macro placement, generated using random placement and edge generation.
DOI: 10.57702/ln7z8th6
title: Bedroom

description: The dataset used in this paper is Bedroom, a dataset of 128 × 128 Bedroom images.
DOI: 10.57702/43fpawbn
title: ResNet and WRN datasets

description: ResNet and WRN datasets used for image classification tasks
DOI: 10.57702/dx9abtsw
title: AnyFace

description: AnyFace: Free-style Text-to-Face Synthesis and Manipulation
DOI: 10.57702/wglhsmaq
title: Multi-caption text-to-face synthesis: Dataset and algorithm

description: Multi-caption text-to-face synthesis: Dataset and algorithm
DOI: 10.57702/pa17nihb
title: AttnGAN: Fine-grained text to image generation with attentional generative adversarial networks

description: AttnGAN: Fine-grained text to image generation with attentional generative adversarial networks
DOI: 10.57702/ha2ps639
title: Ntire 2017 challenge on single image super-resolution: Methods and results

description: The Ntire 2017 challenge on single image super-resolution: Methods and results.
DOI: 10.57702/5lr9d6td
title: Macular Hole Segmentation

description: Macular hole segmentation dataset using 3D U-Net architecture
DOI: 10.57702/0pqnuxir
title: StyleVideoGAN

description: StyleVideoGAN: A Temporal Generative Model using a Pretrained StyleGAN
DOI: 10.57702/h7xprpex
title: Continual World

description: The Continual World benchmark consists of ten realistic robotic manipulation tasks.
DOI: 10.57702/t0bv243e
title: Cambridge restaurant domain

description: The dataset used in the paper is the Cambridge restaurant domain from the PyDial toolkit.
DOI: 10.57702/5zy86x7a
title: Multi-scale Digital Twin

description: Soil and groundwater contamination dataset with uncertain climate models
DOI: 10.57702/0a20au1k
title: GFDL-ESM2G

description: Climate data from GFDL-ESM2G model
DOI: 10.57702/ajzt78fl
title: MURAL

description: Multimodal, Multitask Retrieval Across Languages (MURAL) dataset is used for training and evaluation of the MURAL model.
DOI: 10.57702/v230kn3p
title: Mult30K

description: Mult30K dataset is a multilingual image captioning dataset used for training and evaluation of the M3P model.
DOI: 10.57702/w1yaarhx
title: Wikipedia Image Text

description: Wikipedia Image Text (WIT) dataset is a large-scale multimodal learning dataset used for training and evaluation of the MURAL model.
DOI: 10.57702/95547qv3
title: SVHN Network

description: A dataset for CAPTCHA recognition
DOI: 10.57702/1pm7akum
title: Multi-digit number recognition from street view imagery using deep convolutional neural networks

description: A dataset for CAPTCHA recognition
DOI: 10.57702/3s73zbjy
title: Geomatics and Computer Vision/Datasets

description: The dataset used in this study consists of multiple aerial and satellite datasets, including UAV, Airborne, and Satellite data.
DOI: 10.57702/68nxdv4i
title: UNAS: Differentiable Architecture Search Meets Reinforcement Learning

description: UNAS: Differentiable Architecture Search Meets Reinforcement Learning
DOI: 10.57702/anm9za4j
title: MnasNet: In platform-aware neural architecture search for mobile

description: MnasNet: In platform-aware neural architecture search for mobile
DOI: 10.15468/dl.ay499e
title: Occurrence Download

description: A dataset containing 1680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melitidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1680 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036984-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/1so01nvz
title: University Medical Center Utrecht

description: Pulmonary lobes segmentation dataset used for training and validation of the proposed method
DOI: 10.5281/zenodo.13323912
title: Dataset for Li et al 2024: Development of a Simplified Smell Test to Identify Patients with Typical Parkinson's as Informed by Multiple Cohorts, Machine Learning and External Validation

description: Dataset files reported in :



Development of a Simplified Smell Test to Identify Patients with Typical Parkinson’s as Informed by Multiple Cohorts, Machine Learning and External Validation


Authors: Juan Li, Kelsey Grimes, Joseph Saade, Julianna J. Tomlinson, Tiago A. Mestre, Sebastian Schade, Sandrina Weber, Mohammed Dakna, Tamara Wicke, Elisabeth Lang, Claudia Trenkwalder, Natalina Salmaso, Andrew Frank, Tim Ramsay, Douglas Manuel, aSCENT-PD Investigators, Brit Mollenhauer, Michael G. Schlossmacher

medRxiv 2024.08.09.24311696; doi: https://doi.org/10.1101/2024.08.09.24311696
DOI: 10.5281/zenodo.13323913
title: Dataset for Li et al 2024: Development of a Simplified Smell Test to Identify Patients with Typical Parkinson's as Informed by Multiple Cohorts, Machine Learning and External Validation

description: Dataset files reported in :



Development of a Simplified Smell Test to Identify Patients with Typical Parkinson’s as Informed by Multiple Cohorts, Machine Learning and External Validation


Authors: Juan Li, Kelsey Grimes, Joseph Saade, Julianna J. Tomlinson, Tiago A. Mestre, Sebastian Schade, Sandrina Weber, Mohammed Dakna, Tamara Wicke, Elisabeth Lang, Claudia Trenkwalder, Natalina Salmaso, Andrew Frank, Tim Ramsay, Douglas Manuel, aSCENT-PD Investigators, Brit Mollenhauer, Michael G. Schlossmacher

medRxiv 2024.08.09.24311696; doi: https://doi.org/10.1101/2024.08.09.24311696
DOI: 10.57702/q0ym7stg
title: LOLA11

description: Pulmonary lobes segmentation dataset used for training and validation of the proposed method
DOI: 10.57702/4v69tpmv
title: Wikipedia dataset

description: The dataset used in the paper is the Wikipedia dataset, which contains over six million English Wikipedia articles with a full-text field associated with 50 training queries from various domains and 50 evaluation queries.
DOI: 10.57702/58xou3kx
title: ImageNet VID dataset

description: The ImageNet VID dataset is a large scale benchmark for video object detection task consisting of 3,862 videos in the training set and 555 videos in the validation set. 30 object categories are contained in this dataset.
DOI: 10.57702/cqed6xbj
title: SPREADSHEETCODER: Formula Prediction from Semi-structured Context

description: Spreadsheet formula prediction has been an im-portant program synthesis problem with many real-world applications. Previous works typically utilize input-output examples as the speci-fi-cation for spreadsheet formula synthesis, where each input-output pair simulates a separate row in the spreadsheet. However, this formulation does not fully capture the rich context in real-world spreadsheets.
DOI: 10.57702/h0jtfih6
title: Google Sheets Dataset

description: The dataset is constructed from a corpus of Google Sheets publicly shared within our organization. We collected 46K Google Sheets with formulas, and split them into 42K for training, 2.3K for validation, and 1.7K for testing.
DOI: 10.57702/gdgwltjf
title: Enron Corpus

description: The Enron corpus is a dataset of over 17K Excel Spreadsheets extracted from the Enron email corpus.
DOI: 10.57702/roc00gql
title: CLIP-DIFFUSION-LM: APPLY DIFFUSION MODEL ON IMAGE CAPTIONING

description: Image captioning task has been extensively researched by previous work. However, limited experiments focus on generating captions based on non-autoregressive text decoder. Inspired by the recent success of the denoising diffusion model on image synthesis tasks, we apply denoising diffusion probabilistic models to text generation in image captioning tasks.
DOI: 10.57702/48y9aik0
title: VADEERS dataset

description: The dataset D = {XS, XI, XB, YR, (cid:126)yG} consists of five parts, where XS ∈ R304×300 denotes drugs’ SMILES vector representations, XI ∈ R117×294 denotes drugs’ inhibition proﬁles across a panel of protein kinases, XB ∈ R922×241 denotes a matrix of cell lines biological features, YR ∈ R922×304 denotes a matrix with drug response indicators for a given cell line c and drug d, and (cid:126)yG ∈ R117 denotes a vector of guiding labels for a subset of considered drugs.
DOI: 10.57702/u17s0hlo
title: FBIRN dataset

description: The rs-fMRI data that is used for age regression and sex prediction are subjects without any diagnoses or self-reported illnesses (n = 12, 314).
DOI: 10.57702/vkax13js
title: BCS-DBT dataset

description: The BCS-DBT dataset is a publicly available dataset for breast cancer detection in digital breast tomosynthesis.
DOI: 10.15468/dl.qrxuyt
title: Occurrence Download

description: A dataset containing 80404 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ephippidae"
 ]
}

 The dataset includes 80404 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036983-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/t2jw8nqx
title: OpenDataLab: Empowering General Artificial Intelligence with Open Datasets

description: OpenDataLab is a platform designed to bridge the gap between diverse data sources and the need for unified data processing.
DOI: 10.57702/eh9ai9h5
title: WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Models

description: WanJuan: A comprehensive multimodal dataset for advancing English and Chinese large models.
DOI: 10.57702/4jomly5t
title: InternVid: A Large-Scale Video-Text Dataset for Multimodal Understanding and Generation

description: InternVid: A large-scale video-text dataset for multimodal understanding and generation.
DOI: 10.57702/j8fxdaka
title: MS-COCO 2017 detection dataset

description: The dataset used in the paper is the MS-COCO 2017 detection dataset.
DOI: 10.57702/a6zbb23g
title: Chem2Bio2RDF dataset

description: Chem2Bio2RDF dataset for biomedical entity classification task, containing 295,911 nodes and 727,997 edges
DOI: 10.57702/j7ksfoen
title: Database in [28]

description: The database in [28] which was used to evaluate SEGAN in [14].
DOI: 10.57702/vecew6sb
title: Demand database

description: The Demand database [30] used to create noisy conditions in the training data.
DOI: 10.57702/wagmrdba
title: Pavia Center dataset

description: Hyperspectral image super-resolution (HSI SR) task is critical and meaningful to enhance the image quality to better serve the subsequent high-level computer vision tasks.
DOI: 10.57702/a0324ngu
title: A Hybrid CNN-BiLSTM VOICE ACTIVITY DETECTOR

description: A hybrid CNN-BiLSTM VOICE ACTIVITY DETECTOR for voice activity detection (VAD) incorporating both convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM) layers trained in an end-to-end manner.
DOI: 10.57702/3d5fakeu
title: AVA-Speech

description: The AVA-Speech dataset is a publicly available dataset of movies densely labeled with speech activity.
DOI: 10.57702/23dxm9c6
title: MM-WHS2017

description: The dataset used in this paper for whole heart segmentation task
DOI: 10.57702/q47frh67
title: Rain200H, Rain200L, Rain800, DDN-Data, SPA-Data

description: Rain200H and Rain200L are synthetic datasets for image deraining, Rain800 is a real-world dataset, DDN-Data and SPA-Data are also real-world datasets.
DOI: 10.57702/y0ynrqnm
title: Livebot

description: Livebot dataset for automatic live video commenting
DOI: 10.57702/phwdj4u8
title: VideoIC

description: VideoIC dataset for automatic live video commenting
DOI: 10.15468/dl.enq5kq
title: Occurrence Download

description: A dataset containing 1045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dogielinotidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1045 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036985-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/1b8tv19v
title: Swish-Driven GoogleNet for Intelligent Analog Beam Selection in Terahertz Beamspace MIMO

description: The dataset used in the paper is a THz beamspace MIMO system, where the authors propose a novel deep learning technique framework to address the analog beam selection problem.
DOI: 10.5281/zenodo.14502429
title: Redox potential data
DOI: 10.5281/zenodo.14502430
title: Redox potential data
DOI: 10.57702/i9zr5oke
title: S2DM: Sector-Shaped Diffusion Models for Video Generation

description: Diffusion models have achieved great success in image generation. However, when leveraging this idea for video generation, we face significant challenges in maintaining the consistency and continuity across video frames.
DOI: 10.57702/5qoro8cd
title: MUG Facial Expression Database

description: The mug facial expression database is a facial expression dataset containing 882 videos of 52 actors performing 6 different facial expressions.
DOI: 10.57702/trd60jkd
title: NYC Subway2

description: The NYC Subway2 dataset provides the turnstile usage counts of NYC subway stations every 4 hours.
DOI: 10.57702/okinbw5j
title: NYC Ride-hailing3

description: The NYC Ride-hailing3 dataset provides the for-hire vehicle data of NYC, consisting of 43 million trip records.
DOI: 10.57702/aelhdars
title: SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection

description: Open-vocabulary object detection (OvOD) has transformed detection into a language-guided task, empowering users to freely define their class vocabularies of interest during inference.
DOI: 10.57702/mglb7nmm
title: ControlVAE: Controllable Variational Autoencoder

description: The dataset used for language modeling, disentangled representation learning, and image generation.
DOI: 10.57702/bd3mgqa0
title: Penn Tree Bank (PTB)

description: The Penn Tree Bank (PTB) dataset used for language modeling.
DOI: 10.57702/o0gemf2d
title: Switchboard (SW)

description: The Switchboard (SW) dataset used for dialog-response generation.
DOI: 10.57702/32tt4wlu
title: NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks

description: Semantic segmentation for medical 3D image stacks enables accurate volumetric reconstructions, computer-aided diagnostics and follow up treatment planning.
DOI: 10.57702/pxq1h0nf
title: Heart-CT dataset

description: A Heart-CT image dataset containing coronal volumetric stacks with 116-358 images per volume.
DOI: 10.57702/xqlasah6
title: Custom Diffusion

description: The dataset used in this paper is a large-scale text-to-image diffusion model, which consists of 35 subjects with unique pets and objects.
DOI: 10.57702/vuifu3xv
title: SVDiff

description: The dataset used in this paper is a large-scale text-to-image diffusion model, which consists of 35 subjects with unique pets and objects.
DOI: 10.57702/nkfeo0qm
title: ATLAS

description: The dataset used for chronic stroke lesion segmentation from T1-weighted MR images.
DOI: 10.15468/dl.farxaq
title: Occurrence Download

description: A dataset containing 3402 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Drepane Cuvier, 1831"
 ]
}

 The dataset includes 3402 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036986-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/cv6ngfd4
title: NYC Vehicle Collisions dataset

description: A real-world dataset containing about 1.05 million vehicle collision records. Each collision record includes the time and location (latitude and longitude).
DOI: 10.57702/16csd40f
title: TraDeS: A Novel Online Joint Detection and Tracking Model

description: The TraDeS tracker is a novel online joint detection and tracking model that exploits tracking clues to assist detection and in return benefits tracking.
DOI: 10.57702/lzr2bv6w
title: MOT16 and MOT17 Datasets

description: The MOT16 and MOT17 datasets are used for evaluating the performance of multi-object tracking algorithms.
DOI: 10.57702/vbjchu0m
title: YouTube-VIS Dataset

description: The YouTube-VIS dataset is a large-scale dataset for instance segmentation, containing 2,883 videos and 131K instance masks.
DOI: 10.57702/l4dj8fke
title: Open Images Dataset

description: The dataset used in the experiment consists of 50 images equally distributed between five classes: aircraft, bird, bicycle, boat, and dog. Each class has 5 true positive images and 5 false positive images.
DOI: 10.57702/cmwf7y68
title: LocalStyleFool

description: LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything