11,397 Works

Experimental Data for Metacognitive Skills

Yusufu Yusufu Gambo & Muhammad Zeeshan Shakir
The increasing student’s enrollment, the cost ofeducation and the need to make learning resources accessibleany time at anywhere are propelling educational institutions todevelop a pedagogical framework to support in-class activitieswith online learning courses. Moreover, the increasing deploymentof skilled-based courses on online learning environmentoccasioned by the advancement of smart and wireless technologyboth in formal and informal paradigm means that there is a needto develop effective ways to support online learning paradigm.The transformation system brought by advancement...

Brain Signals and the Corresponding Hand Movement Signals Dataset (BS-HMS-Dataset)

Diksha Shukla, Sicong Chen, Yao Lu, Partha Pratim Kundu, Ravichandra Malapati, Sujit Poudel, Zhanpeng Jin & Vir Phoha
BS-HMS-Dataset is a dataset of the users' brainwave signals and the corresponding hand movement signals from a large number of volunteer participants. The dataset has two parts; (1) Neurosky based Dataset (collected over several months in 2016 from 32 volunteer partcipants), and (2) Emotiv based Dataset (collected over several months in 2019). Neurosky based Dataset - Neurosky based dataset consists of EEG data recordings from neurosky headset and the corresponding hand movements recordings from SONY...

Brain Signals and the Corresponding Hand Movement Signals Dataset (BS-HMS-Dataset)

Diksha Shukla, Sicong Chen, Yao Lu, Partha Pratim Kundu, Ravichandra Malapati, Sujit Poudel, Zhanpeng Jin & Vir Phoha
BS-HMS-Dataset is a dataset of the users' brainwave signals and the corresponding hand movement signals from a large number of volunteer participants. The dataset has two parts; (1) Neurosky based Dataset (collected over several months in 2016 from 32 volunteer partcipants), and (2) Emotiv based Dataset (collected over several months in 2019). Neurosky based Dataset - Neurosky based dataset consists of EEG data recordings from neurosky headset and the corresponding hand movements recordings from SONY...

Brain Signals and the Corresponding Hand Movement Signals Dataset (BS-HMS-Dataset)

Diksha Shukla, Sicong Chen, Yao Lu, Partha Pratim Kundu, Ravichandra Malapati, Sujit Poudel, Zhanpeng Jin & Vir Phoha
BS-HMS-Dataset is a dataset of the users' brainwave signals and the corresponding hand movement signals from a large number of volunteer participants. The dataset has two parts; (1) Neurosky based Dataset (collected over several months in 2016 from 32 volunteer partcipants), and (2) Emotiv based Dataset (collected over several months in 2019). Neurosky based Dataset - Neurosky based dataset consists of EEG data recordings from neurosky headset and the corresponding hand movements recordings from SONY...

Dataset for electronic nose from various beef cuts

Dedy Rahman Wijaya
The development of electronic nose (e-nose)for a rapid, simple, and low-cost meat assessment system becomes the concern of researchers in recent years. Hence, we provide time-series datasets that were recorded from e-nose for beef quality monitoring experiment.This dataset is originated from 12 type of beef cuts including round (shank), top sirloin, tenderloin, flap meat (flank), striploin (shortloin), brisket, clod/chuck, skirt meat (plate), inside/outside, rib eye, shin, and fat. The process of beef spoilage is recorded...

Cocoa beans spectral image with three fermentation levels

Carlos Hinojosa, Karen Sanchez, Hans Garcia & Henry Arguello
The target scene consists of a black cardwith six cocoa beans of three different fermentation levels (High, correct, and low fermentation),two beans for each class, whosefalse-color composite is shown in the provided Figure (a),ground-truth map is shownin Fig. (b), and Fig. (c) presents its representative spectralsignatures. The spectral imagewas acquired by the AVT Stingray F-080Bcamera by acquiring one band each time from350 - 950 nm. The acquired image hasa spatial resolution of 1096x712 pixels and...

Cocoa beans spectral image with three fermentation levels

Carlos Hinojosa, Karen Sanchez, Hans Garcia & Henry Arguello
The target scene consists of a black cardwith six cocoa beans of three different fermentation levels (High, correct, and low fermentation),two beans for each class, whosefalse-color composite is shown in the provided Figure (a),ground-truth map is shownin Fig. (b), and Fig. (c) presents its representative spectralsignatures. The spectral imagewas acquired by the AVT Stingray F-080Bcamera by acquiring one band each time from350 - 950 nm. The acquired image hasa spatial resolution of 1096x712 pixels and...

Blood Pressure and DIetary Calcium intake in Ruraland Urban population (source , CHNS)

VICTORINE RAISSA NGO NKONDJOCK
These data was used to find out the relationship between Blood pressure, Hypertension Occurence and Dietary Calcum intake in Rural and Urban located populations.Data Source : China Health and Nutrition SUrvey

Mayo Clinic Data

In the MayoClinic_data.zip folder you'll find hdf5 files for structured as follows: 1. Example_planewave_dataset1.hdf5, Beamfored_IQ1.png2. Example_planewave_dataset2.hdf5, Beamfored_IQ2.png3. Example_planewave_dataset3.hdf5, Beamfored_IQ3.pngThe above files contain the channel data, beam formed data, and beamformed images acquired from three unique cases of phantom data with plane wave imaging, with 75 steering angles. 4. Example_planewave_dataset_withBelly_1.hdf5, Beamfored_IQ_belly1.png5. Example_planewave_dataset_withBelly_2.hdf5, Beamfored_IQ_belly2.png6. Example_planewave_dataset_withBelly_3.hdf5, Beamfored_IQ_belly3.pngThe above files contain the channel data, beam formed data, and beamformed images acquired from another three cases of phantom data. A...

Energy storage simulation for frequency regulation

Sung-Min Cho
This file is Matlab extended (.Mex). There is a frequency file measured at one second intervals.The frequency regulation lithium battery takes into account the nonlinearity of the life and inputs the operating range of the SOC for the optimal design. The detailed calculation process will be presented in a separate paper.

Malware Analysis Datasets: API Call Sequences

Angelo Oliveira
This dataset is part of our research on malware detection and classification using Deep Learning. It contains 42,797 malware API call sequences and 1,079 goodware API call sequences. Each API call sequence is composed of the first 100 non-repeated consecutive API calls associated with the parent process, extracted from the 'calls' elements of Cuckoo Sandbox reports.

Proprioceptive Sensor Dataset for Quadruped Robots

Geoff Fink
These datasets are of the hydraulically actuated robot HyQ’s proprioceptive sensors. They include absolute and relative encoders, force and torque sensors, and MEMS-based and fibre optic-based inertial measurement units (IMUs). Additionally, a motion capture system recorded the ground truth data with millimetre accuracy. In the datasets HyQ was manually controlled to trot in place or move around the laboratory. The sequence includes: forward and backwards motion, side-to-side motion, zig-zags, yaw motion, and a mix of...

Plantar Thermogram Database for the Study of Diabetic Foot Complications

Daniel Hernández-Contreras, Hayde Peregrina-Barreto, Jose Rangel-Magdaleno & Francisco Renero-Carrillo
The presented database contains thermal images (thermograms) of the plantar region. The database was obtained from 122 subjects with a diabetes diagnosis (DM group) and 45 non-diabetic subjects (control group). The relevance of this database consists in to study how the temperature is distributed in the plantar region of both groups and how their differences can be measured. Previous reports in the literature have established that an increase in the plantar temperature is associated with...

WiFi RSSI Indoor Localization

Minh Tu Hoang, Xiaodai Dong, Tao Lu, Brosnan Yuen & Robert Westendorp
A reliable and comprehensive public WiFi fingerprinting database for researchers to implement and compare the indoor localization’s methods.The database contains RSSI information from 6 APs conducted in different days with the support of autonomous robot.We use an autonomous robot to collect the WiFi fingerprint data. Our 3-wheel robot has multiple sensors including wheel odometer, an inertial measurement unit (IMU), a LIDAR, sonar sensors and a color and depth (RGB-D) camera. The robot can navigate to...

Lytro Illum Calibration Dataset

Nuno Barroso Monteiro, Joao P. Barreto & José António Gaspar
Calibration datasets used in the article Standard Plenoptic Cameras Mapping to Camera Arrays and Calibration based on DLT. These datasets were acquired with a Lytro Illum camera using two calibration grids with different sizes: 8 × 6 grid of 211 × 159 mm (Big Pattern) with approximately 26.5 mm cells, and 20×20 grid of 121.5 × 122 mm (Small Pattern) with approximately 6.1 mm cells. Each dataset acquired is composed of 66 fully observable poses...

Social network graph structure

xuefeng Li
The users graph structure of Sina network.

Nyx Cosmological Simulation Dataset

Christopher Biwer
Cosmological simulation dataset based on compressible cosmological hydrodynamics simulation code Nyx (https://ccse.lbl.gov/Research/NYX/). The Nyx simulation data are post-analysis data composed of 3D arrays in space (such as dark matter density and temperature).

Nyx Cosmological Simulation Data

Zarija Lukic
Cosmological simulation dataset based on LBNL compressible cosmological hydrodynamics simulation code Nyx (https://ccse.lbl.gov/Research/NYX/). The Nyx simulation data are post-analysis data composed of 3D arrays in space (such as dark matter density, baryon density, temperature, and velocity).

Discriminative Concept Learning Network: Sample Source Code and Supplement (Project Archive)

Qiao Wang, Sylvia Young, Aaron Harwood & Cheng Soon Ong
Summary: The archive of DCLN project (https://sourceforge.net/projects/dcln/) is provided.Code & Script v2.0: Written in C/C++, running on Linux. Check shell script './dcln.sh' for usage info. The script 'run.sh' relates to the exercises in Section V of the main paper.Document: Details of hyperparameters tuning, data preprocessing and code compiling are given.Data: Four nonlinear simulation datasets are provided (Fig. 2 of the main paper). Each study includes ~2000 training samples and ~2000 test samples. Also, a script...

Discriminative Concept Learning Network: Sample Source Code and Supplement (Project Archive)

Qiao Wang, Sylvia Young, Aaron Harwood & Cheng Soon Ong
Summary: The archive of DCLN project (https://sourceforge.net/projects/dcln/) is provided.Code & Script: Written in C/C++, running on Linux. Check './dcln.sh' for usage info. A script 'prediction.sh' is used to run through 4 simulation studies in Section III of the main paper. The script 'run.sh' relates to the exercises in Section V of the main paper. Mature package release v2.0 with minor bugs fixed.Document: Details of hyperparameters tuning, data preprocessing and code compiling are given.Data: Four nonlinear...

Discriminative Concept Learning Network: Sample Source Code and Supplement (Project Archive)

Qiao Wang, Sylvia Young, Aaron Harwood & Cheng Soon Ong
Summary: The archive of DCLN project (https://sourceforge.net/projects/dcln/) is provided.Code & Script: Written in C/C++, running Shell scripts on Linux system. Check './dcln.sh' for usage info. Mature package release v2.0 with minor bugs fixed.Document: Details of hyperparameters tuning, data preprocessing and code compiling are given.Data: Four nonlinear simulation datasets are provided (Fig. 2 of the main paper). Each study has ~2000 training samples and ~2000 test samples.

Objective Function Linearization

Guangsheng Pan
Please see the document.

Carotid single plane wave imaging

Sebastien Salles
CHALLENGE ON ULTRASOUND BEAMFORMING WITH DEEP LEARNING (CUBDL)

Arc Flash IE and Iarc Calculators

IEEE Standards Association
The excel spreadsheet files provide access to a functional Arc Flash Calculator that includes various equipment configurations (VCB, VCBB, HCB, VOA and HOA), Incident Energy and voltage ranges.As equipment’s configuration and input fields are presented, the user will be able to key entry specific data using the proper input fields and/or pull down menus provided. All variables and constants are defined. When all variables inputs have been entered, and proper equipment configuration has been selected,...

ZhaChaolin's Datagroup

Chaolin Zha
I am an applied physics scientist and an elctric engineer, focusing on solar photovoltaic science and engineerings, in particular PV/storage smart powering system.

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