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The main folder contains the raw EEG data in standard bids format. See references. Code and figures: https://doi.org/10.17605/OSF.IO/PWC4K Manuscript: https://doi.org/10.1101/2023.06.06.543985 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 f

Participants

20

Size

27.6 GB

Updated

Jun 6, 2026

WIRED ICM TUTORIAL DATA ------------------------ *Contributors:* Liberty S. Hamilton, PhD, Maansi Desai, PhD, Alyssa Field, MEd *Email:* [email protected] 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

Updated

Jun 6, 2026

Participants

17

Size

15.8 GB

Updated

Jun 6, 2026

# CARLA: Adjusted common average referencing for cortico-cortical evoked potential data This dataset contains intracranial EEG recordings from four patients during single pulse electrical stimulation as described in: * H Huang, G Ojeda Valencia, NM Gregg, GM Osman, MN Montoya, GA Worrell, KJ Miller, and D Hermes. (2024). CARLA: Adjusted common average referencing for cortico-cortical evoked potential data. Journal of Neuroscience Methods, 110153. DOI: https://doi.org/10.1016/j.jneumeth.2024.1

Participants

4

Size

1.49 GB

Updated

Jun 6, 2026

# 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

Updated

Jun 6, 2026

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

Updated

Jun 6, 2026

## 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

Updated

Jun 6, 2026

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

Updated

Jun 6, 2026

Summary This dataset forms part of a study supported by the Social Neuroscience and Neuromodulation Laboratory of Universidad del Desarrollo, Chile. The full dataset is described in a submission to Scientific Data. Abstract In our daily lives, we frequently encounter decisions where the potential outcomes are unclear, leading to a state of heightened uncertainty. The complete or partial lack of knowledge regarding the probability of outcomes is called ambiguity and presents significant challe

Participants

53

Size

37.5 GB

Updated

Jun 6, 2026

# General information The dataset provides resting-state EEG data (eyes open,partially eyes closed) from 71 participants who underwent two experiments involving normal sleep (NS---session1) and sleep deprivation(SD---session2) .The dataset also provide

Participants

71

Size

8.29 GB

Updated

Jun 6, 2026