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  • Data of the paper "Multicomponent diffusion in natural silicate melts: Toward a universal eigenvector matrix"

    work
    Creator:
    Bai, Bobo and Zhang, Youxue
    Description:
    This dataset is referenced in the manuscript “Multicomponent diffusion in natural silicate melts: Toward a universal eigenvector matrix”. This manuscript explores the temperature and compositional independence of diffusion eigenvectors in 8-component silicate melts, a discovery that will greatly simplify the exploration of multicomponent diffusion in natural silicate melts.
    Keyword:
    Multicomponent diffusion , Universal diffusion eigenvector matrix, Eigen-components, Uphill diffusion, and Multicomponent diffusion calculator
    Discipline:
    Science

  • Electrocorticographic (ECoG) dataset of an audiovisual task

    work
    Creator:
    Brang, David and Karthik, Ganesan
    Description:
    Data were acquired from 21 patients with intractable epilepsy undergoing clinical evaluation using iEEG. Patients ranged in age from 15-58 years (mean = 37.1, SD = 12.8) and included 10 females. Across all patients, data was recorded from a total of 1367 electrodes. Each participant were presented with multiple trials of auditory only and congruent audio-visual stimuli. On each trial a single phoneme was presented to the participant. Three variants of the tasks were used with each variant consisting of a different set of phonemes (variant A: /ba/ /da/ /ta/ /tha/, variant B: /ba/ /da/ /ga/, variant C: /ba/ /ga/ /ka/ /pa/). Trials were presented in a random order and phonemes were distributed uniformly across conditions. While conditions were matched in terms of trial numbers, participants completed a variable number of trials (based on task variant and the number of blocks completed). All provided data has been resampled to 1024 Hz during initial stages of processing for all participants. Data has been referenced in a bipolar fashion (signals subtracted from each immediately adjacent electrode in a pairwise manner) to ensure that the observed signals were derived from maximally local neuronal populations. The preprocessing steps followed have been described in the detailed description document in the attached materials. and The dataset zip folder consists of three main sub-folders: 1) Electrodes: This folder provides details regarding the individual electrodes for each subject, their MNI coordinates as well as their MNI vertices information according to freesurfer parcellations. This folder also consists of images of the physical location of each of the electrode sets. 2) Processed: This folder contains preprocessed data in all three frequencies (theta, beta and high gamma power) for individual subjects and the corresponding vertex locations for each of the electrodes from which their data was recorded. The images subfolder also contains figures provided in the main manuscript. 3) MatlabCodes: This folder contains all the matlab scripts required to reproduce the results provided in the main manuscript. LME_AvsAV_Main_Windows.m is the main file that an user has to run to reproduce the results.
    Keyword:
    Cognitive Neuroscience, Neuroscience, Perception, and Mixed Effects Models
    Citation to related publication:
    Ganesan, K., Plass, J., Beltz, A. M., Liu, Z., Grabowecky, M., Suzuki, S., ... & Brang, D. (2020). Visual speech differentially modulates beta, theta, and high gamma bands in auditory cortex. bioRxiv.  https://doi.org/10.1101/2020.09.07.284455
    Discipline:
    Science