Discover datasets

## Overview This dataset was originally published in Gramann, K., Töllner, T. and Müller, H.J. (2010), Dimension-based attention modulates early visual processing. Psychophysiology, 47: 968-978. https://doi.org/10.1111/j.1469-8986.2010.00998.x It was subsequently used to investigate automatic labeling of independent components in ICA and is referred to as the "Cue" dataset: Frølich, L., Andersen, T.S. and Mørup, M. (2015), Multi-class classification of ICS of EEG. Psychophysiol, 52: 32-45. https

Participants

12

Size

5.63 GB

Updated

Jun 6, 2026

# README # WARNING Below is a template to write a README file for this BIDS dataset. If this message is still present, it means that the person exporting the file has decided not to update the template.If you are the researcher editing this README file, please remove this warning section. The README is usually the starting point for researchers using your dataand serves as a guidepost for users of your data. A clear and informativeREADME makes your data much more usable. In general you can inclu

Participants

47

Size

12.1 GB

Updated

Jun 6, 2026

This dataset contains high-density EEG recordings collected during a visual stimulation task. Files are organized according to the EEG-BIDS specification. Raw data are BrainVision (.vhdr/.vmrk/.eeg). Task: visual Session: ses-01 Provenance: Converted from c:/shared/raw_eeg with this helper script. No acquisition-time filters applied (offline preprocessing not included here).

Participants

31

Size

17.6 GB

Updated

Jun 6, 2026

Introduction: The EEG data was recorded using the 128-channel Amps 300 amplifier (Electrical Geodesics Inc., OR, USA) at a sampling frequency of 1000 Hz. The EEG data acquisition was conducted during the resting. Structural MRI data for the same participants were acquired at the University of Oklahoma Health Science Center (OUHSC) MRI facility using a GE MR750 scanner. The scans were obtained with GE’s BRAVO sequence, with a field of view (FOV) of 240 mm and 180 axial slices per slab Preproce

Participants

34

Size

3.00 GB

Updated

Jun 6, 2026

In this dataset we included iEEG recordings of responses to 41 intracranial high frequency stimulations evoking negative motor responses, in 23 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy. The dataset contains 24 seconds of iEEG data around each stimulation, 9-10 seconds before the start of the stimulation, up to 5 seconds of intracranial stimulation and 9-10 seconds after the end of the stimulation. Each recording contains two 5 second epochs, pre-s

Participants

21

Size

1.04 GB

Updated

Jun 6, 2026

Participants

68

Size

64.1 GB

Updated

Jun 6, 2026

Overview This dataset, named 3M-CPSEED, consists of electroencephalogram (EEG) recordings obtained from 20 participants engaged in imagined speech tasks. 3M-CPSEED holds significant implications for speech neurophysiology research, not only facilitating exploration of neural activity differences across pinyin articulations but also enabling robust transfer learning studies for other alphabetic languages. Data Collection Participants: 20 healthy, right-handed individuals (average age: 24.55 ye

Participants

20

Size

8.17 GB

Updated

Jun 6, 2026

LIGHT Dataset During these guided imagery hypnotherapy sessions, a hypnotherapist integrates storytelling and deep visualizations techniques to encourage personal and wellbeing. This method allows individuals to explore and modify their subconscious narratives, in order to foster changes that resonate through their lives. This differs from traditional hypnotherapy by tapping into eudaemonic aspects of well-being, emphasizing the pursuit

Participants

9

Size

4.31 GB

Updated

Jun 6, 2026

Overview -------- This is the dataset for our study investigating the effects of selective attention to speech stimuli in the subcortex and cortex, entitled "The auditory brainstem response to natural speech is not affected by selective attention" by Stoll et al. (2025). Please cite our paper if you use our dataset. It contains EEG data for three experiments, detailed in the paper and briefly summarized below. Code and stimuli to derive the responses are provided in the Dataset folder and o

Participants

66

Size

103 GB

Updated

Jun 6, 2026

This is the dataset for Leong et al. (in prep). 33 participants completed both a visual and auditory surprise task in counterbalanced order. Methodological details are contained in the manuscript. Certain participants were excluded at various stages of the analyses. Their data and event lists are included up to the stage of processing that their data reached. Due to incorrect settings specific to OpenBCI GUI v5.0.1, indicated EEG values are 24 times larger than what they should be. The units

Participants

33

Size

535 MB

Updated

Jun 6, 2026