Discover datasets

WIRED ICM TUTORIAL DATA ------------------------ *Contributors:* Liberty S. Hamilton, PhD, Maansi Desai, PhD, Alyssa Field, MEd *Email:* liberty.hamilton@austin.utexas.edu This is a sample BIDS dataset for the WIRED ICM course in Paris, France in March 2024. This contains intracranial recordings collected by the Hamilton Lab at the University of Texas at Austin. These recordings include examples of evoked data during natural listening tasks along with some examples of seizure-related activit

Participants

3

Size

305 MB

Visuo-spatial working memory (VSWM) for sequences is thought to be crucial for daily behaviors. Decades of research indicate that oscillations in the gamma and theta bands play important functional roles in the support of visuo-spatial working memory, but the vast majority of that research emphasizes measures of neural activity during memory retention. The primary aims of the present study were (1) to determine whether oscillatory dynamics in the Theta and Gamma ranges would reflect item-level s

Participants

62

Size

25.1 GB

## A Polish Electroencephalography, Alzheimer’s Risk-genes, Lifestyle and Neuroimaging (PEARL-Neuro) Database ### Data Descriptor: * doi.org/10.1038/s41597-024-03106-5 (https://www.nature.com/articles/s41597-024-03106-5) ### Please cite the following reference if you use these data: * Dzianok P, Kublik E. PEARL-Neuro Database: EEG, fMRI, health and lifestyle data of middle-aged people at risk of dementia. Sci Data 11, 276 (2024). DOI: https://doi.org/10.1038/s41597-024-03106-5 ### Publicatio

Participants

79

Size

240 GB

This dataset contains the raw EEG data accompanying the paper "The transformation of sensory to perceptual braille letter representations in the visually deprived brain". Please cite the above paper if you use this data. The dataset includes: Brainvision files (.eeg, .vhdr, .vmrk) for all participants. Please note, for some participants the EEG decording had to be stopped and restarted within a session. In this case, the different files are indicated as separate runs. In addition, some partic

Participants

11

Size

22.0 GB

# ChineseEEG: A Chinese Linguistic Corpora EEG Dataset for Semantic Alignment and Neural Decoding ## Introduction "ChineseEEG" (Chinese Linguistic Corpora EEG Dataset) contains high-density EEG data and simultaneous eye-tracking data recorded from 10 participants, each silently reading Chinese text for about 11 hours. This dataset further comprises pre-processed EEG sensor-level data generated under different parameter settings, offering researchers a diverse range of selections. Additionally,

Participants

10

Size

207 GB

Our dataset contains high-density, dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, ground reaction forces, head model constructed from T1 structural MR images from 32 participants walking over uneven terrain and at different speeds. Participants completed two trials for each condition for three minutes and a seated rest trial for three minutes. Digitized electrode locations (txt) are included in each subject folder. Please refe

Participants

32

Size

62.5 GB

## Overview This dataset comprises recordings of intraoperative Electrocorticography (ECoG) from 22 patients undergoing resective epilepsy surgery. For each patient, the dataset is organized into pre-resection recording (referred to as SITUATION1A) and post-resection recording (referred to as SITUATION2A). We provide raw ECoG recordings for each patient and a derivative folder that contains all the main processing stages performed with our neuromorphic processing pipeline: [https://doi.org/10

Participants

22

Size

451 MB

References ---------- Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896). https://doi.org/10.21105/joss.01896 Niso, G., Gorgolewski, K. J., Bock, E., Brooks, T. L., Flandin, G., Gramfo

Participants

30

Size

78.3 GB

This study is described at https://osf.io/qt2zh/. Scripts used for data processing are posted there. Here is the script from the manuscript that describes these data. Error-related negativity is a widely used measure of error monitoring, and many projects are independently moving ERN recorded during a flanker task towards standardization, optimization, and eventual clinical application. However, each project uses a different version of the flanker task and tacitly assumes ERN is functionally e

Participants

172

Size

123 GB

This phantom experiment contains data collected from a an electrically conductive head phantom. Six conditions were tested: brain-only [no artifacts], or brain with eye, jaw muscle, neck muscle, or motion artifacts present, or brain with all artifacts simultaneously present. Also contained is a copy of the iCanClean plugin for EEGLAB and a set of other helpful scripts that enable parameter sweep testing and validation with ground truth knowledge of the brain signals of interest. Please

Participants

1

Size

1.01 GB