Neuroscience

One of the grand challenges in neuroscience is to understand the developing brain ‘in action and in context’ in complex natural settings. To address this challenge, it is imperative to acquire brain data from freely-behaving children to assay the variability and individuality of neural patterns across gender and age.

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  • Neuroscience
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    Recent advances in scalp electroencephalography (EEG) as a neuroimaging tool have now allowed researchers to overcome technical challenges and movement restrictions typical in traditional neuroimaging studies.  Fortunately, recent mobile EEG devices have enabled studies involving cognition and motor control in natural environments that require mobility, such as during art perception and production in a museum setting, and during locomotion tasks.

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  • Biomedical and Health Sciences
  • Last Updated On: 
    Tue, 11/12/2019 - 10:38

    This dataset is associated with the paper, Jackson & Hall 2016, which is open source, and can be found here: http://ieeexplore.ieee.org/document/7742994/

    The DataPort Repository contains the data used primarily for generating Figure 1.

    588 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Sat, 06/16/2018 - 23:05

    BCI-Double-ErrP-Dataset is an EEG dataset recorded while participants used a P300-based BCI speller. This speller uses a P300 post-detection based on Error-related potentials (ErrPs) to detect and correct errors (i.e. when the detected symbol does not match the user’s intention). After the P300 detection, an automatic correction is made when an ErrP is detected (this is called a “Primary ErrP”). The correction proposed by the system is also evaluated, eventually eliciting a “Secondary ErrP” if the correction is wrong.

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  • Machine Learning
  • Last Updated On: 
    Fri, 03/20/2020 - 08:13

    This dataset contains light-field microscopy images and converted sub-aperture images. 

     

    The folder with the name "Light-fieldMicroscopeData" contains raw light-field data. The file LFM_Calibrated_frame0-9.tif contains 9 frames of raw light-field microscopy images which has been calibrated. Each frame corresponds to a specific depth. The 9 frames cover a depth range from 0 um to 32 um with step size 4 um. Files with name LFM_Calibrated_frame?.png are the png version for each frame.

     

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  • Image Processing
  • Last Updated On: 
    Thu, 02/27/2020 - 10:07

    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 participants), and (2) Emotiv based Dataset (collected from 27 volunteer participants over several months in 2019). 

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  • Machine Learning
  • Last Updated On: 
    Thu, 12/12/2019 - 13:17

    ErrP dataset of 8 subjects

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  • Neuroscience
  • Last Updated On: 
    Mon, 11/25/2019 - 08:42

    Table1 present the peak-level activation point of 8 brain regions for all 1080 subjects.

    Table2 present the peak-level activation point of 8 brain regions for selected 893 subjects. 

     

    Supplementary data -RotL.rar present the SPM{T}map and extracted masks calculated with 2nd-level modeling analysis from RtoL fMRI data of subjects 1 to 50.

    Supplementary data -LtoR.rar present the SPM{T}map and extracted masks calculated with 2nd-level modeling analysis from LtoR fMRI data of subjects 1 to 50.

     

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  • Image Processing
  • Last Updated On: 
    Wed, 10/02/2019 - 02:08

    Motor point identification is pivotal to elicit comfortable and sustained muscle contraction through functional electrical stimulation. To this purpose, anatomical charts and manual search techniques are used to extract subject-specific stimulation profile. Such information being heterogenous they lack standardization and reproducibility. To address these limitations; we aim to identify, localize, and characterize the motor points of forearm muscles across nine healthy subjects.

    387 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Sun, 09/08/2019 - 02:11

    Magnetic resonance spectroscopy (MRS) data for a series of GABA phantoms specifically  designed to provide ground truth data for GABA quantification based on MRS data. The spectra were obtained using the WIP Siemens implementation svs-edit of the common edited spectroscopy MEGAPRESS sequence on a 3T Siemens Magnetom Skyra system installed in the Clinical Imaging Unit at Swansea University (UK).

    284 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Fri, 08/16/2019 - 13:54

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