cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/vzdhfqg4
title: CU-Mamba: Selective State Space Models with Channel Learning for Image Restoration

description: The CU-Mamba model is used for image restoration, and the authors tested it on the SIDD and DND datasets.
DOI: 10.57702/niij16bw
title: SIDD and DND datasets

description: The SIDD and DND datasets are used for testing the CU-Mamba model.
DOI: 10.57702/dtvw8874
title: LA Dataset

description: The LA dataset contains trafﬁc speed obtained from 207 loop detectors in Los Angeles.
DOI: 10.57702/5vcg0va7
title: Facebook Social Circles

description: The Facebook Social Circles dataset contains information about the social connections between users on Facebook.
DOI: 10.48349/asu/3twei0
title: Replication Data for: Crystal structure of Au-pseudocarbyne(C6)

description: &lt;p&gt;This dataset consists of experimental raw data collected from Au-pseudocarbyne samples that were investigated in a study to explore their crystal structures. Publication of the results, which are entitled "Crystal structure of Au-pseudocarbyne(C6)", has been accepted by the journal of Scientific Reports.&lt;/p&gt;
&lt;p&gt;The study is part of a research project "Pseudocarbynes: A New Class of Carbon-chain Materials", which was financially sponsored by the Keck Foundation and conducted primarily at Arizona State University.&lt;/p&gt;
&lt;p&gt;The dataset contains one powder x-ray diffraction (XRD) pattern, nineteen raw images/ spectra/ electron-diffraction-patterns from (scanning) transmission electron microscopy ((S)TEM), and one CIF file for the optimized crystal structure of Au-pseudocarbyne(C6), which is a gold-stabilized, C6-chain-based member of the pseudocarbyne family.&lt;/p&gt;
description: Gatan DigitalMicrograph, 2.11.1404.0
DOI: 10.57702/00jbrxvv
title: ImageNet 64x64, ImageNet 128x128, LSUN 256x256

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used pre-trained DDPMs on ImageNet 64x64, ImageNet 128x128, and LSUN 256x256.
DOI: 10.57702/r34gedws
title: Stable Diffusion Model (SDM) v1.5

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the Stable Diffusion Model (SDM) v1.5.
DOI: 10.57702/j0lbjzu9
title: TSEN: Transformer and Snowball Graph Convolution

description: The proposed TSEN model is used for brain functional network classification, combining graph snowball structure and graph Transformer.
DOI: 10.57702/1hw5zm88
title: ABIDE I

description: The ABIDE I dataset is a collection of brain functional networks from autistic spectrum disorder patients and healthy controls.
DOI: 10.57702/ihjwwg64
title: Infant Mortality Dataset

description: Infant mortality dataset
DOI: 10.57702/fdq572oi
title: Sensorless Dataset

description: Sensorless dataset
DOI: 10.57702/m0rz4vy7
title: Infant Mortality Dataset (1% Downsampling)

description: Infant mortality dataset (1% downsampling)
DOI: 10.57702/h6v2ibgl
title: TGS Salt Identification Challenge

description: The dataset used for this project contains 4,000 seismic images with 4,000 labeled mask images. The seismic images are in grayscale, and the mask images are in black and white.
DOI: 10.57702/2cql4kw2
title: Amazon-Beauty, Amazon-Book, Yelp2021

description: Amazon-Beauty, Amazon-Book, Yelp2021 datasets are used for sign-aware graph recommendation. The datasets are used to evaluate the performance of the proposed LSGRec model.
DOI: 10.6084/m9.figshare.28035656
title: Dataset for "A hypothesis-based approach to species identification in the fossil record: a papionin case study"

description: This dataset is associated with Brasil et al. (2024), published in <i>Frontiers in Ecology and Evolution</i>. The dataset includes dental metrics, cranial metrics, taxonomic IDs, and sex IDs for all <i>Parapapio</i> individuals analyzed in this study, as well as all individuals in the three comparative samples: <i>Papio hamadryas cynocephalus</i>, <i>Papio hamadryas </i>sspp., and <i>Macaca fascicularis</i>.
DOI: 10.6084/m9.figshare.28035656.v1
title: Dataset for "A hypothesis-based approach to species identification in the fossil record: a papionin case study"

description: This dataset is associated with Brasil et al. (2024), published in <i>Frontiers in Ecology and Evolution</i>. The dataset includes dental metrics, cranial metrics, taxonomic IDs, and sex IDs for all <i>Parapapio</i> individuals analyzed in this study, as well as all individuals in the three comparative samples: <i>Papio hamadryas cynocephalus</i>, <i>Papio hamadryas </i>sspp., and <i>Macaca fascicularis</i>.
DOI: 10.57702/1i4l53n2
title: Brain MR Images

description: The dataset used for image registration, consisting of pairs of images with different intensities.
DOI: 10.57702/k9vnsd83
title: Learning Robust 3D Representation from CLIP via Dual Denoising

description: Learning robust 3D representation from CLIP via Dual Denoising
DOI: 10.57702/dborh8mu
title: ULIP: Unified Representation of Language, Images, and Point Clouds

description: ULIP: Learning a unified representation of language, images, and point clouds for 3D understanding
DOI: 10.57702/r59g33f0
title: Shapellm: Universal 3D Object Understanding

description: Shapellm: Universal 3D object understanding for embodied interaction
DOI: 10.57702/7nbtxg4r
title: CoNLL-2003 English NER shared task dataset

description: The CoNLL-2003 English NER shared task dataset, consisting of 14,041/3,250/3,453 sentences in the training/development/test set respectively, all extracted from Reuters news articles during the period from 1996 to 1997.
DOI: 10.57702/khsgtbkz
title: Variational learning across domains with triplet information

description: The paper proposes the Variational Bi-domain Triplet Autoencoder (VBTA) that learns a joint distribution of objects from different domains with the help of the learning triplets that sampled from the shared latent space across domains.
DOI: 10.57702/rju5j0ur
title: Fix-A-Step: Semi-supervised Learning From Uncurated Unlabeled Data

description: Semi-supervised learning from uncurated unlabelled data
DOI: 10.57702/egdnl5sj
title: TMED 2

description: A dataset for semi-supervised learning of echocardiogram views
DOI: 10.57702/yn1yjar0
title: Unity

description: A dataset for semi-supervised learning of echocardiogram views
DOI: 10.57702/xtupugrc
title: ZHAO AND PATRAS: PROMPTING VISUAL-LANGUAGE MODELS FOR DFER

description: This paper presents a novel visual-language model called DFER-CLIP for in-the-wild dynamic facial expression recognition.
DOI: 10.57702/xo2l86u1
title: DFEW: A large-scale database for recognizing dynamic facial expressions in the wild

description: DFEW: A large-scale database for recognizing dynamic facial expressions in the wild.
DOI: 10.15468/dl.f88cz2
title: Occurrence Download

description: A dataset containing 771 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anatinellidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 771 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037044-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/0kwxs73w
title: FERV39k: A large-scale multi-scene dataset for facial expression recognition in videos

description: FERV39k: A large-scale multi-scene dataset for facial expression recognition in videos.
DOI: 10.57702/2ppspcrw
title: MIDL 2019 – Extended Abstract Track: Uncertainty Quantification in Computer-Aided Diagnosis

description: A dataset of optical coherence tomography scans showing four different retinal conditions.
DOI: 10.57702/8igvan3a
title: Anomalous diffusion dynamics of learning in deep neural networks

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used ResNet-14, ResNet-20, ResNet-56, and ResNet-110 networks, as well as VGG-like networks, to demonstrate the anomalous diffusion dynamics of learning in deep neural networks.
DOI: 10.57702/rpyxprkx
title: RRSIS-D

description: Referring Remote Sensing Image Segmentation (RRSIS) is a new challenge that combines computer vision and natural language processing, delineating specific regions in aerial images as described by textual queries.
DOI: 10.57702/euqhn582
title: MRI and CT Reconstruction Datasets

description: The dataset used in this paper for MRI and CT reconstruction.
DOI: 10.57702/6simya1d
title: DIV2K Dataset for CT Reconstruction

description: The DIV2K dataset used for CT reconstruction.
DOI: 10.57702/56nnrgz2
title: Liver Segmentation and Left Ventricle Segmentation

description: Liver CT and left ventricle MRI data for image segmentation
DOI: 10.57702/vqjzdbxn
title: Low Dose CT Grand Challenge

description: A dataset for low-dose CT image reconstruction.
DOI: 10.57702/2o9vfdmh
title: Artificial Intelligence to Predict Lymph Node Metastasis at CT in Pancreatic Ductal Adenocarcinoma

description: A dataset for predicting lymph node metastasis at CT in pancreatic ductal adenocarcinoma.
DOI: 10.57702/jvxn39ys
title: MSU Mobile Face Spooﬁng Database

description: The MSU Mobile Face Spooﬁng Database (MFSD) is a benchmark dataset for face anti-spooﬁng. It consists of 8 videos of 35 subjects. The video frames are extracted, face localization is performed using Viola Jones Harr Cascade, and sample faces are randomly split into training, validation and testing sets.
DOI: 10.57702/9um5ktax
title: FDIC Bank Data

description: The dataset used in this paper is a collection of financial data about failed and non-failed banks in the US.
DOI: 10.57702/hypmbbx4
title: Zero-Shot Automatic Pronunciation Assessment

description: Automatic Pronunciation Assessment (APA) is vital for computer-assisted language learning. Prior methods rely on annotated speech-text data to train Automatic Speech Recognition (ASR) models or speech-score data to train regression models.
DOI: 10.57702/rzh3l8zb
title: Intelligent Traffic Light Controller (I-TLC) system

description: The dataset used in this paper is a traffic light controller system designed using Verilog and implemented on a Field-Programmable Gate Array (FPGA).
DOI: 10.57702/w26a963g
title: MuLan: Multimodal-LLM Agent for Progressive Multi-Object Diffusion

description: The dataset is used to evaluate the proposed MuLan framework for progressive multi-object diffusion. It contains 200 prompts with complex spatial relationships and attribute bindings.
DOI: 10.57702/1j6gie8i
title: Synthetic-to-real composite semantic segmentation in additive manufacturing

description: A set of labeled images of printed products at various stages of their production, used for training neural networks for semantic segmentation of manufactured parts and their structural elements.
DOI: 10.57702/td83wawx
title: Decoupled Contrastive Learning

description: Contrastive learning is one of the most successful paradigms for self-supervised learning (SSL). In a principled way, it considers two augmented views of the same image as positive to be pulled closer, and all other images as negative to be pushed further apart.
DOI: 10.57702/kg8e2dta
title: Diffsound: Discrete diffusion model for text-to-sound generation

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors evaluate CatFlow on two molecular generation benchmarks: QM9 and ZINC250k.
DOI: 10.57702/3sj0m34e
title: Graphrnn: Generating realistic graphs with deep auto-regressive models

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors evaluate CatFlow on a graph generation task.
DOI: 10.57702/a2ven2w7
title: Amazon’s 2023 drought: Sentinel-1 reveals extreme Rio Negro River contraction

description: The Amazon, the world’s largest rainforest, faces a severe historic drought. The Rio Negro River, one of the major Amazon River tributaries, reaches its lowest level in a century in October 2023. Here, we used a U-net deep learning model to map water surfaces in the Rio Negro River basin every 12 days in 2022 and 2023 using 10 m spatial resolution Sentinel-1 satellite radar images.
DOI: 10.57702/37o92gqh
title: Template-Based Pairs (TBP)

description: Text-to-Image Diffusion Models (T2I DMs) have garnered significant attention for their ability to generate high-quality images from textual descriptions. However, these models often produce images that do not fully align with the input prompts, resulting in semantic inconsistencies. The most prominent issue among these semantic inconsistencies is catastrophic-neglect, where the images generated by T2I DMs miss key objects mentioned in the prompt.
DOI: 10.15468/dl.qnhwen
title: Occurrence Download

description: A dataset containing 943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Laternulidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 943 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037045-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/kmmbqmwo
title: Two/Three-Object Prompts (TwOP/ThreeOP)

description: Text-to-Image Diffusion Models (T2I DMs) have garnered significant attention for their ability to generate high-quality images from textual descriptions. However, these models often produce images that do not fully align with the input prompts, resulting in semantic inconsistencies. The most prominent issue among these semantic inconsistencies is catastrophic-neglect, where the images generated by T2I DMs miss key objects mentioned in the prompt.
DOI: 10.57702/b004nqt1
title: StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning

description: Simultaneous speech-to-speech translation with multi-task learning
DOI: 10.57702/opl8coyr
title: CVSS-C

description: CVSS-C benchmark for speech-to-speech translation
DOI: 10.57702/ru2ki505
title: Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep

description: Sleep is essential for learning and cognition, but the mechanisms by which it stabilizes learning, supports creativity, and manages the energy consumption of networks engaged in post-sleep task have not been yet modelled.
DOI: 10.15468/dl.xbmncm
title: Occurrence Download

description: A dataset containing 2753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Partamona cupira (Smith, 1863), Trigona cupira Smith, 1863)"
 ]
}

 The dataset includes 2753 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037046-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/ia74tp7q
title: Faster R-CNN and RetinaNet object detectors

description: The dataset used in this paper is the Faster R-CNN and RetinaNet object detectors.
DOI: 10.57702/u8cah42s
title: RetinaNet object detector

description: The dataset used in this paper is the RetinaNet object detector.
DOI: 10.57702/wf787ugj
title: Deepfake Video Detection Using Generative Convolutional Vision Transformer

description: Deepfake video detection using Generative Convolutional Vision Transformer (GenConViT) for deepfake video detection. Our model combines ConvNeXt and Swin Transformer models for feature extraction, and it utilizes Autoencoder and Variational Autoencoder to learn from the latent data distribution.
DOI: 10.57702/mfqxfmbc
title: MAX Robot Motion Dataset

description: The dataset used in the paper is a collection of motion data for the MAX robot, including walking, running, jumping, and sitting motions.
DOI: 10.57702/f7dfu0yp
title: DeepSperm

description: A dataset for bull sperm-cell detection in densely populated semen videos
DOI: 10.57702/wh7a2nxr
title: Optimized Topologies and Intermediate Optimization Steps

description: A dataset of optimized topologies and intermediate optimization steps at low-resolution (64x64) and high-resolution (256x256) for topology optimization.
DOI: 10.57702/datnwrlu
title: Mario AI Level Generation Competition

description: The Mario AI Level Generation Competition dataset is a collection of levels generated using different algorithms and techniques.
DOI: 10.57702/cthd1ruj
title: AI Birds Level Generation Competition

description: The AI Birds Level Generation Competition dataset is a collection of levels generated using different algorithms and techniques.
DOI: 10.57702/04r637g1
title: Heisenberg Group

description: The dataset used in this paper is a sub-Riemannian manifold, specifically the Heisenberg group, with a sub-Riemannian structure defined by a bracket-generating subbundle E.
DOI: 10.57702/34bjevev
title: Naturalist

description: The Naturalist dataset is a dataset of images of animals.
DOI: 10.57702/7xtiytge
title: Calgary Preschool MRI Dataset

description: The dataset used for testing the proposed method for white matter tract segmentation
DOI: 10.57702/9ojo9yu6
title: WildDeepFakes

description: A challenging real-world dataset for deepfake detection.
DOI: 10.57702/76mdjvra
title: Random Word Data Augmentation for Zero-Shot Anomaly Detection

description: This paper presents a novel method that leverages a visual-language model, CLIP, as a data source for zero-shot anomaly detection.
DOI: 10.15468/dl.4bmrdm
title: Occurrence Download

description: A dataset containing 2225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mactridae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2225 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037047-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/d33p3c4b
title: IDRad dataset

description: Open-source data collection IDRad which contains 150 minutes of tagged pedestrian FMCW radar data
DOI: 10.57702/gq9xuipx
title: Pedestrian Detection: An Evaluation of the State of the Art

description: Pedestrian detection: An evaluation of the state of the art.
DOI: 10.57702/21jpkzou
title: FF++

description: The dataset used for face manipulation detection in video sequences.
DOI: 10.57702/xovfc1ic
title: CelebDF

description: CelebDF [12] is a large-scale challenging dataset for deepfake forensics.
DOI: 10.57702/wkg0x00s
title: Fluid Dynamics Dataset

description: The dataset used for testing the U-Net and U-Net-MG models for flow past a stationary cylinder, flow past two cylinders in out-of-phase motion, and flow past an oscillating foil.
DOI: 10.57702/3msh0rvd
title: AAPM Challenge Data and CQ500 dataset

description: Low-dose CT imaging dataset using AAPM Challenge Data and CQ500 dataset
DOI: 10.57702/hgt6svc9
title: LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models

description: Open-domain image manipulation using arbitrary text prompts
DOI: 10.57702/2kiisyrz
title: FermiNet: A Neural Network-Based Approach to Studying Quantum Phase Transitions

description: The FermiNet dataset is used to study quantum phase transitions in the homogeneous electron gas. It is a neural network-based approach to predicting the qualitative nature of electronic ground states in condensed matter.
DOI: 10.57702/8n6vpnl5
title: AGNews, 20News, NYT, IMDB

description: AGNews, 20News, NYT, IMDB are datasets used for weakly supervised text classification.
DOI: 10.57702/dfv8wvyk
title: ICASSP 2021 Acoustic Echo Cancellation Challenge Datasets

description: Two training datasets were released by Microsoft for the AEC Challenge: a real dataset and a synthetic dataset.
DOI: 10.57702/ufhnujih
title: Synthetic Dataset for Acoustic Echo Cancellation

description: The synthetic dataset consists of 10,000 synthetic samples representing single-talk, double-talk, near-end noise, far-end noise, and various nonlinear distortion situations.
DOI: 10.57702/finck5yj
title: The Danish Lung Cancer Screening Trial

description: The Danish Lung Cancer Screening Trial dataset consists of 32 inspiratory low-dose chest CT scans from participants with a history of smoking.
DOI: 10.57702/b35r57dm
title: CF-CT dataset

description: The CF-CT dataset consists of 24 inspiratory low-dose chest CT scans from pediatric patients with cystic fibrosis.
DOI: 10.57702/424dwd6t
title: EXACT'09 dataset

description: The EXACT'09 dataset is a multi-center, public dataset of airway extraction challenge.
DOI: 10.57702/agslvn6t
title: Traffic4cast challenge 2019

description: Traffic4cast challenge 2019 dataset contains 100 billion probe points covering 3 cities (Berlin, Istanbul and Moscow) throughout a year.
DOI: 10.57702/o3ddffth
title: Experiments with GPT-3-based difficulty estimation

description: The dataset used for the experiments, containing three datasets: Literature de jeunesse libre (LjL), a collection of sentences collected from the Internet (sentencesInternet), and a collection of sentences from literature books (sentencesBooks).
DOI: 10.57702/tdzzurdz
title: Literature de jeunesse libre (LjL) dataset

description: Literature de jeunesse libre (LjL) dataset, containing 334,026 labels and 2,060 total words.
DOI: 10.57702/oxfcpxyc
title: sentencesBooks dataset

description: A collection of sentences from literature books (sentencesBooks), containing 56,557 labels and 2,400 total words.
DOI: 10.57702/yffazvyn
title: Gradient Matching NAS

description: The proposed method uses NASBench-201, DARTS, and MobileNet Space for experiments.
DOI: 10.57702/2li5ckr5
title: Drone-Net

description: The dataset used for training the custom object detector is a collection of images of drones.
DOI: 10.57702/v94lg8bl
title: Machine Learning and Bioinformatics for Diagnosis Analysis of Obesity Spectrum Disorders

description: The dataset used for diagnosis analysis of obesity spectrum disorders
DOI: 10.57702/yyzilhrc
title: Demand

description: Deep Matrix Approximately Nonlinear Decomposition (DEMAND) employs Adam and an alternative optimization strategy that is well suited to optimize convex/alternative convex problems and utilizes RRO for data-driven determination of all hyperparameters, which can be considered an advanced factorization method.
DOI: 10.57702/ysi22z1l
title: Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network

description: The dataset used in the paper is a set of physical field observations with noisy data.
DOI: 10.57702/zajyafxb
title: GAN Training Dynamics

description: The dataset used in this paper is a GAN training dataset, which is a non-convex game.
DOI: 10.57702/z5bl5elh
title: FEC dataset

description: A large test subset of around 5K images is annotated from the test set of FEC dataset using crowd wisdom of 16 different annotators.
DOI: 10.15468/dl.un5wqa
title: Occurrence Download

description: A dataset containing 1704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nuculidae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1704 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037049-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/9yjozl5f
title: AffectNet dataset

description: AffectNet dataset, a large facial expression dataset with 1M images.
DOI: 10.57702/1ah2nely
title: FERPlus dataset

description: FERPlus dataset, a facial expression dataset with 28709 images.
DOI: 10.57702/ajji3oux
title: Quaternion one-dimensional oﬀset linear canonical transform

description: The quaternion one-dimensional oﬀset linear canonical transform (1D-QOLCT) is a novel integral transform that is embodiment of several well known signal processing tools.