cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/ryye3xa7
title: BRITE Light Curve Folding

description: The BRITE observational light curves were described. The procedure to inject transit signals into light curves, and the details of light-curve folding were also presented.
DOI: 10.57702/87co95xp
title: GeoGebra Assignments

description: The dataset used in this paper is a set of GeoGebra assignments completed by students, where each assignment is rated by multiple students.
DOI: 10.57702/eo5eeyi3
title: LtU-ILI dataset

description: The dataset used in this paper is a collection of simulated data for various astrophysics and cosmology problems.
DOI: 10.57702/71kjrwtc
title: eROSITA mock X-ray observations

description: The dataset used in this paper is a collection of mock X-ray observations of galaxy clusters.
DOI: 10.57702/4ei00174
title: Simba simulation dataset

description: The dataset used in this paper is a collection of simulated data for various astrophysics and cosmology problems.
DOI: 10.57702/469yuegq
title: Combined Attribute Annotated PAD Dataset (CAAD-PAD)

description: Face presentation attack detection (PAD) is critical to secure face recognition (FR) applications from presentation attacks. FR performance has been shown to be unfair to certain demographic and non-demographic groups.
DOI: 10.57702/0924rfzx
title: A face anti-spooﬁng database with diverse attacks

description: A face anti-spooﬁng database with diverse attacks, including warped photo, cut photo, and video attacks.
DOI: 10.57702/euiftm7z
title: On the effectiveness of local binary patterns in face anti-spooﬁng

description: On the effectiveness of local binary patterns in face anti-spooﬁng.
DOI: 10.57702/2oypzbos
title: CelebA-spoof: Large-scale face anti-spooﬁng dataset with rich annotations

description: A face anti-spooﬁng dataset with rich annotations, focusing on questions with a single entity and relation.
DOI: 10.57702/rk46er7a
title: OULU-NPU: A mobile face presentation attack database with real-world variations

description: A mobile face presentation attack database with real-world variations.
DOI: 10.57702/s1mitwkw
title: YouTube-Objects Dataset

description: We use the YouTube-Objects dataset for video object segmentation.
DOI: 10.5281/zenodo.14590493
title: Volumetric density and temperature fields produced by a hot air jet with different nozzle shapes at 120C

description: Measurements of volumetric density are provided for a hot air jet at 120C produced by a consumer-grade Yihua995D hot air gun as a demonstration of our newly-developed rotating-nozzle telecentric tomo-BOS technique. The jets examined are all produced at the same conditions with the hot air gun fan running at maximum power, and a jet velocity of 17m/s measured at the nozzle center for the circular nozzle case.

 

Nozzle cases tested: Circular; Rectangular; Elliptical; Diamond; Double-circular. The Rectangular, Elliptical and Diamond cases have a 2:1 aspect ratio, and the double-circular case has two circular nozzles separated to test the technique when overlapping views of two Schlieren objects collapse in the camera view. All nozzle orifices have an area of 25 mm^2.

Files provided include:



Nozzle shapes are provided as .STL files;

Volume reconstructions are provided as Paraview VTK files. 

A compiled visualization file is provided as a Paraview PVSM file.

The raw image files of the background captured, together with the raw density fields, are provided as a DaVis 10.1 project (2-part Zip file).
DOI: 10.5281/zenodo.14590494
title: Volumetric density and temperature fields produced by a hot air jet with different nozzle shapes at 120C

description: Measurements of volumetric density are provided for a hot air jet at 120C produced by a consumer-grade Yihua995D hot air gun as a demonstration of our newly-developed rotating-nozzle telecentric tomo-BOS technique. The jets examined are all produced at the same conditions with the hot air gun fan running at maximum power, and a jet velocity of 17m/s measured at the nozzle center for the circular nozzle case.

 

Nozzle cases tested: Circular; Rectangular; Elliptical; Diamond; Double-circular. The Rectangular, Elliptical and Diamond cases have a 2:1 aspect ratio, and the double-circular case has two circular nozzles separated to test the technique when overlapping views of two Schlieren objects collapse in the camera view. All nozzle orifices have an area of 25 mm^2.

Files provided include:



Nozzle shapes are provided as .STL files;

Volume reconstructions are provided as Paraview VTK files. 

A compiled visualization file is provided as a Paraview PVSM file.

The raw image files of the background captured, together with the raw density fields, are provided as a DaVis 10.1 project (2-part Zip file).
DOI: 10.57702/kf24xf2h
title: PISCES

description: Protein structure prediction datasets used for model quality estimation
DOI: 10.57702/anqghsmq
title: PANX and UDPOS datasets

description: The PANX and UDPOS datasets are used for Named Entity Recognition and Part-of-Speech Tagging tasks among the CJKV languages.
DOI: 10.57702/jq8q812s
title: Flower Recognition3

description: Four data sets are employed in the experiments, including Internet Firewall1, 100 Birds2, Flower Recognition3, 10 Monkey Species4.
DOI: 10.57702/ccqo1zx5
title: Exploration Metrics for Reinforcement Learning

description: The dataset used in the paper is a set of data generated from four different types of distributions: uniform, truncated normal, bi-modal truncated normal growing scale, and bi-modal truncated normal moving locations.
DOI: 10.57702/lsu14q3b
title: In-oﬃce dataset for customer tracking

description: A fully annotated in-oﬃce dataset for customer tracking in retail industry.
DOI: 10.57702/fjbuwabl
title: Real-world dataset for customer and staﬀ recognition

description: A real-world dataset for customer and staﬀ recognition in a supermarket environment.
DOI: 10.5281/zenodo.14590518
title: zoramia_perlita_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14590519
title: zoramia_perlita_decontaminated_FSCR.fasta.gz
DOI: 10.57702/c0es0x9j
title: Gigaword sentence dataset

description: Gigaword sentence dataset is a large corpus of sentences.
DOI: 10.57702/5z30v0ou
title: Dark Fringe Recognition for Phase Retrieval

description: The dataset used in this paper for phase retrieval based on dark fringe recognition.
DOI: 10.57702/xta1w8b9
title: ZTBus

description: A dataset of 7500 scenarios in various ambient conditions that represent a year-round operation of an electric city bus.
DOI: 10.57702/6hndajkk
title: Segan: Speech enhancement generative adversarial network

description: Segan: Speech enhancement generative adversarial network.
DOI: 10.57702/eoei2rjy
title: ast2vec

description: ast2vec: a pre-trained model for mapping Python programs to vectors using recursive neural encodings
DOI: 10.57702/4048ld2t
title: Uterus Cancer

description: The dataset is used for cancer patient clustering and disease subtype discovery. It contains gene expression data from TCGA projects.
DOI: 10.57702/aeu4q2yi
title: Facebook, YouTube, AAN, IMDB, Weibo

description: The dataset used in the paper is a collection of real-world networks, including social networks, scientific collaboration networks, information diffusion networks, and entertainment networks.
DOI: 10.57702/68wqhch7
title: OppLoD dataset

description: The dataset used in this paper for OppLoD model, which is a synaptic computing model that combined the feature of LGMD and LPLC2 neurons.
DOI: 10.57702/l6lg9vzk
title: Shop The Look: Building a Large Scale Visual Shopping System

description: Shop The Look is a visual shopping system at Pinterest, which allows users to discover and purchase products within images.
DOI: 10.57702/bx4mx7i1
title: Twitter Data for Controversy Detection

description: Twitter data used to detect and monitor controversial events and their impact on market volatility.
DOI: 10.57702/o1qvu64t
title: Stochastic Model Predictive Control - a Simulation Example

description: A simple linear system subject to uncertainty serves as an example. The Matlab code for this stochastic Model Predictive Control example is available online.
DOI: 10.57702/k94f3edm
title: TrackingNet: A Large-Scale Benchmark for Object Tracking in the Wild

description: The TrackingNet dataset is a large-scale benchmark for object tracking in the wild.
DOI: 10.57702/lv69s72s
title: GOT-10K: A Large-Scale Benchmark for Generic Object Tracking in the Wild

description: The GOT-10K dataset is a large-scale benchmark for generic object tracking in the wild.
DOI: 10.57702/8do25aes
title: Practical Resources for Enhancing the Reproducibility of Mechanistic Modeling in Systems Biology

description: A collection of resources for enhancing the reproducibility of mechanistic modeling in systems biology
DOI: 10.57702/eio9nde8
title: ScanNet and S3DIS

description: The dataset used in the paper is ScanNet, a large-scale dataset of 3D indoor scenes, and S3DIS, a dataset of 3D indoor scenes with semantic labels.
DOI: 10.57702/9lnbz6px
title: HyDRATE

description: The UCF101 dataset and videos captured using mobile phones and webcam representing the activity were used for training, inference, reconfiguration, and evaluation of the hardware.
DOI: 10.57702/b4nsev7y
title: CB513

description: The dataset used in this paper is the CB513 dataset, which contains 123 CASP10 targets with publicly available native structures.
DOI: 10.57702/rogaq5io
title: JPRED

description: Protein secondary structure prediction using JPRED
DOI: 10.57702/wcc0we3f
title: SCRATCH_1D

description: Protein secondary structure prediction using next-step conditioned deep convolutional neural networks
DOI: 10.57702/4o1d7q9l
title: Decentralized Multi-Target Cross-Domain Recommendation for Multi-Organization Collaborations

description: Decentralized Multi-Target Cross-Domain Recommendation for Multi-Organization Collaborations
DOI: 10.57702/ef3ohjrr
title: A unified framework for cross-domain and cross-system recommendations

description: A unified framework for cross-domain and cross-system recommendations
DOI: 10.57702/vtoeyrgr
title: Graph learning based recommender systems: A review

description: Graph learning based recommender systems: A review
DOI: 10.57702/ofucle4i
title: Multimodal Food Perception and Custom End-Effector Mount Designs

description: A dataset for multimodal food perception and custom end-effector mount designs, which we hope expands the scope of assistive feeding research
DOI: 10.57702/nxizm512
title: STCN: STOCHASTIC TEMPORAL CONVOLUTIONAL NETWORKS

description: Convolutional architectures have recently been shown to be competitive on many sequence modeling tasks when compared to the de-facto standard of recurrent neural networks (RNNs), while providing computational and modeling advantages due to inherent parallelism.
DOI: 10.57702/wmrwr447
title: TIMIT and Blizzard datasets

description: The TIMIT and Blizzard datasets are standard benchmark datasets in speech modeling.
DOI: 10.57702/s6av2rj7
title: Zwicky Transient Facility

description: The Zwicky Transient Facility (ZTF) is a survey telescope that detects transient events in the sky.
DOI: 10.57702/5axfr3ca
title: Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification

description: Whole body magnetic resonance imaging (WB-MRI) is the recommended modality for diagnosis of multiple myeloma (MM). WB-MRI is used to detect sites of disease across the entire skeletal system, but it requires significant expertise and is time-consuming to report due to the great number of images.
DOI: 10.57702/4j458k69
title: Dataset II: Multilingual Forums

description: The dataset includes discussions from six popular subreddits (in English) and also discussions in French and German, demonstrating the utility of our approach to multilingual settings.
DOI: 10.57702/2n622woq
title: Upcrossing-rate dynamics for a minimal neuron model

description: The dataset describes the upcrossing-rate dynamics for a minimal neuron model receiving spatially distributed synaptic drive.
DOI: 10.57702/roh0vk9z
title: Hybrid Power-Line/Wireless Communication Systems For Indoor Applications

description: The dataset used in this paper for hybrid power-line/wireless communication systems for indoor applications.
DOI: 10.57702/njttsx4l
title: EuRoC MAV

description: Monocular visual odometry dataset
DOI: 10.57702/r2l1qxaw
title: IEEE Trans. Inf. Theory

description: The dataset used in the paper is a binary classification dataset.
DOI: 10.57702/wdz8fsyg
title: Strategic Responses to Technological Change: Evidence from ChatGPT and Upwork

description: The dataset contains activity on the Upwork platform following the launch of ChatGPT, including changes in bidding activity, unique specializations, bid concentration, and similarity to pre-period bidding.
DOI: 10.57702/spk82d4d
title: UCF101, HMDB51, Olympic Sports Dataset

description: UCF101, HMDB51, Olympic Sports Dataset
DOI: 10.57702/chjlbqxp
title: Characterizing Diabetes, Diet, Exercise, and Obesity on Twitter

description: The dataset contains 4.5 million tweets related to diabetes, diet, exercise, and obesity.
DOI: 10.57702/9hobk4i9
title: Danet: Divergent Activation for Weakly Supervised Object Localization

description: A weakly supervised object localization dataset.
DOI: 10.57702/6f8vjql9
title: Can a face tell us anything about an NBA prospect? - A Deep Learning Approach

description: A database consisting of about 1500 image data from players from every draft since 1990.
DOI: 10.57702/cwr8fybu
title: Fashion-MNIST, CIFAR-10, and GTSRB datasets

description: The Fashion-MNIST, CIFAR-10, and GTSRB datasets were used to evaluate differentiable logics for learning systems.
DOI: 10.57702/zx2570mg
title: NBA SportVU Dataset

description: The dataset used in the paper is the NBA SportVU dataset, which contains player and ball trajectories from the 2015-2016 NBA season.
DOI: 10.57702/uchvxgg8
title: Multi-Target Detection in Distributed Radar Systems

description: The dataset used in this paper for multi-target detection in distributed radar systems with several transmitters.
DOI: 10.57702/06gpvffi
title: Respect Your Emotion: Human-Multi-Robot Teaming based on Regret Decision Model

description: The dataset used in the paper is a teaming dataset, where a human operator is teamed with multiple robots to perform a domain search task. The dataset includes information about the robots' decisions, queue-ordering, and path planning.
DOI: 10.57702/7pyzd6ji
title: ProTuner: Tuning Programs with Monte Carlo Tree Search

description: The dataset used in the paper is a suite of 16 real benchmarks for deep learning and image processing applications.
DOI: 10.57702/xb7701nk
title: BREEDS: Benchmark for Subpopulation Shift

description: The BREEDS dataset is a benchmark for subpopulation shift.
DOI: 10.57702/9tcbiv2j
title: EEP-3DQA: Efficient and Effective Projection-based 3D Model Quality Assessment

description: The proposed EEP-3DQA method is used for no-reference 3D model quality assessment. It first randomly samples several projections from the 6 perpendicular viewpoints and then employs the grid mini-patch sampling to convert the projections into spatial grids while maintaining the local patterns. Later, the lightweight Swin-Transformer tiny is used as the feature extraction backbone to extract quality-aware features from the sampled projections.
DOI: 10.57702/4fgo39db
title: SJTU-PCQA and WPC Databases

description: The SJTU-PCQA and WPC databases are used for validation of the proposed EEP-3DQA method. The SJTU-PCQA database contains 9 reference point clouds and each reference point cloud is degraded into 42 distorted point clouds. The WPC database contains 20 reference point clouds and each point cloud is augmented into 37 distorted stimuli.
DOI: 10.57702/0adj1t6x
title: Trophic Network

description: The dataset used in this paper is a trophic network, consisting of 125 nodes and 1907 edges, in which nodes correspond to groups of organisms in the Florida Bay ecosystem.
DOI: 10.57702/osjv7v44
title: Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity

description: The proposed framework, SSAH, for adversarial attack. It aims to perturb images by attacking their semantic similarity in representation space.
DOI: 10.57702/la9f49vt
title: SignVQNet

description: Sign language Vector Quantization Network (SignVQNet) leverages discrete spatio-temporal representations of sign poses to generate accurate and realistic sign pose sequences.
DOI: 10.57702/9pzxcouj
title: Universal Dependencies v1.2

description: The dataset used in the paper is the Universal Dependencies v1.2 dataset.
DOI: 10.57702/d4o5wh0w
title: Towards A Uniﬁed Min-Max Framework for Adversarial Exploration and Robustness

description: The MNIST and CIFAR-10 datasets are used to evaluate the proposed min-max optimization strategy on adversarial attack and defense tasks.
DOI: 10.5519/qd.yvjc0wzn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.57702/j0ukp269
title: Iterative Retraining Dataset

description: The dataset used for the iterative retraining experiments, which includes 20% augmented training and validation sets.
DOI: 10.57702/jyqjhh3z
title: Customer Data

description: The dataset contains customer-relevant data from various sources, including social media, online reviews, and crowdfunding platforms.
DOI: 10.57702/oiw589u7
title: OpenAI Gym and Roboschool

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used OpenAI Gym and Roboschool environments.
DOI: 10.57702/8j3n9kr8
title: Environment introduced by Pacchiano et al. (2019)

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the environment introduced by Pacchiano et al. (2019) to test the ability of behavior-guided learning to succeed despite deceptive rewards.
DOI: 10.57702/yyd21xjo
title: Statistical Industry Classiﬁcation

description: The dataset used in this paper is a collection of stock returns, which are used to construct statistical industry classiﬁcations.
DOI: 10.57702/eukvvgbp
title: Otago Exercise Program (OEP) dataset

description: The dataset was collected from 18 older adults wearing a single waist-mounted Inertial Measurement Unit (IMU). Two datasets were recorded, one in a lab scenario and one at the homes of the patients.
DOI: 10.57702/hm6o7y3a
title: An Efficient Solution to s-Rectangular Robust Markov Decision Processes

description: The dataset is used for s-rectangular Lp robust Markov Decision Processes (MDPs) with a time complexity comparable to standard (non-robust) MDPs.
DOI: 10.57702/5a5zp04l
title: Inﬁnite Factorial Finite State Machine for Blind Multiuser Channel Estimation

description: The dataset is used for blind multiuser channel estimation and detection in a multiuser communication system with an unknown number of transmitters.
DOI: 10.57702/lucrc0b4
title: DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder

description: Graph neural networks (GNNs) achieve remarkable performance for tasks on graph data. However, recent works show they are extremely vulnerable to adversarial structural perturbations, making their outcomes unreliable. In this paper, we propose DefenseVGAE, a novel framework leveraging variational graph autoencoders (VGAEs) to defend GNNs against such attacks.
DOI: 10.57702/ostsulmj
title: Cora, Citeseer, and Polblogs datasets

description: The Cora, Citeseer, and Polblogs datasets are widely used for graph neural network research.
DOI: 10.57702/4bvmtc6n
title: Collective Classification in Network Data

description: The Collective Classification in Network Data dataset is used for graph neural network research.
DOI: 10.57702/k6s6strt
title: MNIST, SVHN, and CelebA

description: The MNIST, SVHN, and CelebA datasets are used for conditional density estimation tasks.
DOI: 10.57702/7iguobth
title: nvBench-Rob(nlq,schema)

description: The nvBench-Rob(nlq,schema) dataset is a testing set from nvBench-Rob, containing both NLQ variants and data schema variants, specifically designed to test the robustness of models against both NLQ variants and data schema variants.
DOI: 10.57702/bmkq6uqa
title: Fetal Dataset

description: The Fetal dataset is a publicly available dataset consisting of 2126 patients who underwent fetal cardiotograms.
DOI: 10.57702/xs6oww0h
title: dsprites: A Benchmark for Disentanglement in Unsupervised Learning

description: dsprites: A benchmark for disentanglement in unsupervised learning.
DOI: 10.57702/6obialv2
title: American Gut Project
DOI: 10.57702/gx2o4dnz
title: UOQ

description: Underwater optical image quality database.
DOI: 10.15468/dl.kyt2e2
title: Occurrence Download

description: A dataset containing 95760 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fungi",
 "HasCoordinate is TRUE",
 "Country is United States of America",
 "DecimalLatitude is greater than or equal to 32.534156",
 "DecimalLatitude is less than or equal to 42.009518",
 "DecimalLongitude is greater than or equal to -124.409591",
 "DecimalLongitude is less than or equal to -114.131211",
 "EventDate is greater than or equal to 2023-01-01",
 "EventDate is less than or equal to 2025-01-01"
 ]
}

 The dataset includes 95760 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055420-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/bc4s34pz
title: Geometric Simple Shape (GSS) dataset

description: The dataset is designed to minimize potential disruptions arising from an excess of information during focus analysis.
DOI: 10.57702/4kzyyva0
title: SuperB: Speech Processing Universal Performance Benchmark

description: Universal performance benchmark for speech processing
DOI: 10.57702/t1190fvt
title: GeoTyper: Automated Pipeline from Raw scRNA-Seq Data to Cell Type Identification

description: A standardized pipeline for processing scRNA-seq data, integrating multiple tools for data wrangling, visualization, cell type identification, and analysis of changes in cellular activity.
DOI: 10.57702/b5vcxe0t
title: 1k PBMCs from a healthy donor

description: A dataset containing peripheral blood mononuclear cells (PBMCs) or specialized immune cells.
DOI: 10.57702/gds5lnsq
title: 20k Mixture of NSCLC DTCs from 7 donors

description: A dataset containing samples from several patients with lung cancer.
DOI: 10.57702/qvvlct8x
title: SciXGen

description: A scientific paper dataset for context-aware text generation.
DOI: 10.57702/cm73r2j6
title: Belgian Scientific Publications

description: A dataset of Belgian scientific publications.
DOI: 10.57702/q4h7vreu
title: SynapCountJ

description: SynapCountJ is an ImageJ plugin that provides a semi-automatic procedure to quantify synapses and measure synaptic density from immunoﬂuorescence images obtained from neuron cultures.
DOI: 10.57702/4yyqcnri
title: Look, Read and Ask: Learning to Ask Questions by Reading Text in Images

description: Text-based visual question generation model that looks into the visual content, reads the scene text, and asks a relevant and meaningful natural language question.
DOI: 10.57702/ay9djnkq
title: TextVQA

description: TextVQA dataset consists of 28,418 images with 45,336 questions.
DOI: 10.57702/i4op6alz
title: ST-VQA

description: ST-VQA dataset consists of 23,038 images with 31,791 question-answer pairs.
DOI: 10.57702/35332euw
title: Near-miss telematics in motor insurance

description: The dataset used in this paper is a near-miss telematics in motor insurance dataset.
DOI: 10.57702/9gmpyn4y
title: Risk measurement, risk entropy, and autonomous driving risk modeling

description: The dataset used in this paper is a risk measurement, risk entropy, and autonomous driving risk modeling dataset.
DOI: 10.57702/9u2rp0y6
title: MNRE dataset for MRE

description: The MNRE dataset is used for multimodal relation extraction (MRE).