812 Works

Locally Linear Embedding and fMRI feature selection in psychiatric classification

Sidhu Gagan
This dataset collection contains eleven datasets used in Locally Linear Embedding and fMRI feature selection for psychiatric classification. Please consult nomenclature.pdf for the full disclosure and how to navigate the files.

Locally Linear Embedding and fMRI feature selection in psychiatric classification

Sidhu Gagan
This dataset collection contains eleven datasets used in Locally Linear Embedding and fMRI feature selection for psychiatric classification. Please consult nomenclature.pdf to navigate the files.

SUT-Lips-DB - A database of lips traces

Ewa Ostałowska Dariusz Mrozek

Real-life Power Quality Transients

M. J. Espinosa-Gavira Olivia Florencias-Oliveros

Environment Recognition and Wearable RGB Cameras: Applications for Autonomous Lower-Limb Biomechatronic Devices

Brock Laschowski, William McNally, Alexander Wong & John McPhee
The following RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Overall, 34,254 sampled images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb...

Daily and Sports Activities Data Set

Kerem Altun & Billur Barshan
The dataset comprises motion sensor data of 19 daily and sports activities each performed by 8 subjects in their own style for 5 minutes. Five Xsens MTx units are used on the torso, arms, and legs.

RGB Images from Wearable Cameras: Applications for Environment Recognition and Lower-Limb Biomechatronic Device Control

Brock Laschowski, William McNally, Alexander Wong & John McPhee
This RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Overall, 34,254 sampled images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses...

Test Dataset for InfoBot-GAN paper

Cong Liu
The dataset contains 208 patient scans that spread over three parts of anatomy(head, neck, and pelvis). The dataset aims to establish accurate anatomical correspondences between MegaVoltage Planar Digital Radio-graphs (MV-DRs) andKiloVoltage Digital Reconstructed Radiographs (KV-DRRs), which are widely used in Image-Guided Radiation Therapy (IGRT) to verify patients’ positions for accurate radiotherapy delivery.

Test Dataset for InfoBot-GAN paper

Cong Liu
The dataset contains 208 patient scans that spread over three parts of anatomy(head, neck, and pelvis). The dataset aims to establish accurate anatomical correspondences between MegaVoltage Planar Digital Radio-graphs (MV-DRs) andKiloVoltage Digital Reconstructed Radiographs (KV-DRRs), which are widely used in Image-Guided Radiation Therapy (IGRT) to verify patients’ positions for accurate radiotherapy delivery.

Fake news data

Hui Chen
This dataset provides a labeled fake news data, which can be used to have a deep study of fake news.

Locally Linear Embedding and fMRI feature selection in psychiatric classification

Sidhu Gagan
This dataset collection contains eleven datasets used in Locally Linear Embedding and fMRI feature selection for psychiatric classification. Please consult nomenclature.pdf for the full disclosure and how to navigate the files.

Wearable RGB Camera Images of Human Locomotion Environments

Brock Laschowski, William McNally, Alexander Wong & John McPhee
This RGB image dataset was experimentally collected using a wearable camera system and postprocessed for image classification of different walking environments conducive to controlling autonomous lower-limb biomechatronic devices (e.g., robotic lower-limb prostheses and exoskeletons). Overall, 34,254 sampled images were collected and individually labelled. The authors request that prospective users reference the following publication: Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses...

Sample data obtained from experimental tests

José María Rodríguez Corral, Iván Ruíz-Rube, Antón Civit Balcells, José Miguel Mota-Macías & Arturo Morgado-Estévez and Juan Manuel Dodero
Once the three courses for the three learning scenarios - C# OOP programming, Sphero Edu visual programming and VEDILS authoring tool - were taught, the three student groups were asked to indicate using a scale between one and four - to avoid the selection of neutral options - their perception of the clarity and the interest of the exposition (CL and IT indicators), as well as the time spent studying the course contents (ST indicator)....

Data for analysis of transparent PET preforms with a constant actual color

Darius Drungilas, Mindaugas Kurmis & Zydrunas Lukosius
The data set contains 360 instances of images of transparent PET preforms with a constant actual color. The measured color is varring because of illumination conditions. The measured color variation factor is described as color value correction coeficient.

Diffusion and Displacement Encoded MRI Dataset to Estimate In Vivo Cardiomyocyte Strain

Ilya Verzhbinsky, Luigi Perotti, Kevin Moulin, Tyler Cork, Michael Loecher & Daniel Ennis
Changes in left ventricular (LV) aggregate cardiomyocyte orientation and deformation underlie cardiac function and dysfunction. As such, in vivo aggregate cardiomyocyte "myofiber" strain has mechanistic significance, but currently there exists no established technique to measurein vivocardiomyocyte strain.The following dataset contains Dispalcement Encoding with Stimulated Echoes (DENSE) MRI and cardiac Diffusion Tensor Imaging (cDTI) data. The functional data from DENSE MRI along with the microstructural data reconstructed from cDTI can be used to compute strain along...

Average-Value Modeling of Dual-Control High-Speed Response Brushless Exciters for Synchronous Generators

Jonas Kristiansen Nøland
This dataset could be used to reproduce the results of the AVM model proposed in the paper "Unified Modeling and Analysis of the Dual-Control High-Speed Response Brushless Excitation System of Synchronous Generators".

Pattern-Reversal Visual Evoked Potentials

Rossana Terracciano, Alessandro Sanginario, Simona Barbero, Davide Putignano, Lorenzo Canavese & Danilo Demarchi
This dataset contains post-processed Pattern Reversal Visual Evoked Potential (PR-VEP) signals from 20 subjects, 12 males and 8 females between 24-28 years old. These signals are acquired with two different kinds of instruments: a new prototype based on Smart Glasses and a commercial device for PR-VEP.For a detailed description of this dataset see accompanying publication "Pattern-Reversal Visual Evoked Potential on Smart Glasses" by Terracciano R., et al. IEEE Journal of Biomedical and Health Informatics 2019,...

Vehicle States During DECA

TingJun Li
DECA is widely used as a protocol to describe the fuel economy and battery load of vehicles. Meanwhile, Carsim is universally accepted as a reliable tool to analyze vehicle dynamics. Therefore, it is of great importance to simulate the DECA with Carsim and provide a proper way to measure the virtual fuel economy of vehicles. It may also contribute to explement related experiments.

Fake news data

Hui Chen
This dataset provides a labeled fake news data, which can be used to have a deep study of fake news.

Fake news data

Hui Chen
This dataset provides a labeled fake news data, which can be used to have a deep study of fake news.

Test Dataset for IB-GAN paper

Cong Liu
The dataset contains 208 patient scans that spread over three parts of anatomy(head, neck, and pelvis). The dataset aims to establish accurate anatomical correspondences between MegaVoltage Planar Digital Radio-graphs (MV-DRs) andKiloVoltage Digital Reconstructed Radiographs (KV-DRRs), which are widely used in Image-Guided Radiation Therapy (IGRT) to verify patients’ positions for accurate radiotherapy delivery.

Test Dataset for IB-GAN paper

Cong Liu
The dataset contains 208 patient scans that spread over three parts of anatomy(head, neck, and pelvis). The dataset aims to establish accurate anatomical correspondences between MegaVoltage Planar Digital Radio-graphs (MV-DRs) andKiloVoltage Digital Reconstructed Radiographs (KV-DRRs), which are widely used in Image-Guided Radiation Therapy (IGRT) to verify patients’ positions for accurate radiotherapy delivery.

Test Dataset for IB-GAN paper

Cong Liu
The dataset contains 208 patient scans that spread over three parts of anatomy(head, neck, and pelvis). The dataset aims to establish accurate anatomical correspondences between MegaVoltage Planar Digital Radio-graphs (MV-DRs) andKiloVoltage Digital Reconstructed Radiographs (KV-DRRs), which are widely used in Image-Guided Radiation Therapy (IGRT) to verify patients’ positions for accurate radiotherapy delivery.

Registration Year

  • 2016
    23
  • 2017
    88
  • 2018
    310
  • 2019
    390

Resource Types

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Data Centers

  • IEEE DataPort
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