Discover datasets

Data was collected at the University of Michigan by Steven Peterson in the lab of Daniel Ferris. This study's protocol was approved by the University of Michigan Institutional Review Board and all participants provided written consent. Please see our data publication for a more comprehensive description of this dataset: https://doi.org/10.1016/j.dib.2021.107635. Each data file includes synchronized 128-channel EEG, lower leg EMG, neck EMG, EOG, and motion capture data. Participants performed fo

Participants

30

Size

10.9 GB

Updated

Jun 6, 2026

The APPLESEED Example Dataset This dataset consists of longitudinal EEG recordings from 13 infants at 4, 8, and 12 months of age. Test-retest reliability was assessed at 4 months of age via two appointments (session 1 & 2) that occurred within 1 week of each other. Session 3 data was recorded at 8 months of age and session 4 data was recorded at 12 months of age. Two participants did not return for longitudinal testing at sessions 3 & 4. Therefore, the complete dataset consists of 48 recording

Participants

13

Size

10.2 GB

Updated

Jun 6, 2026

-------- This dataset contains intracranial EEG recordings from one patient during single pulse electrical stimulation. These data were recorded at the Mayo Clinic in Rochester, MN, as part of the NIH Brain Initiative supported project R01 MH122258 "CRCNS: Processing speed in the human connectome across the lifespan". The overarching goal of this project is to develop a large database of single pulse stimulation data and develop tools to advance our understanding of the human connectome across

Participants

1

Size

620 MB

Updated

Jun 6, 2026

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

34

Size

92.3 GB

Updated

Jun 6, 2026

EEG Raw and processed data for a memory task presented in virtual reality, The full task is on OSF: https://osf.io/s9xmu/files Derviatives: Behavioral data from the task in derivatives Processed data is in the derivatives Code Event codes are listed in the code file Trial function, preprocessing, data cleaning and analysis are also in the code file. Task: Wearing a head mounted display to display the task in virtual reality participants completed a visual working memory task

Participants

47

Size

17.5 GB

Updated

Jun 6, 2026

Participants

28

Size

218 GB

Updated

Jun 6, 2026

Age-related differences in EEG, ECG and pupilography during auditory cued reaction time tasks In this study, we acquired the electroencephalogram (EEG), pupilogram and electrocardiogram (ECG) while a group of young (N = 36) and a group of older (N = 39) adults were engaged in auditory cued reaction time tasks (active tasks) or passively listening to the auditory stimulus used as temporal cue, presented with the same frequency as in the active tasks (passive task - 4 minutes acquired at the begi

Participants

75

Size

21.5 GB

Updated

Jun 6, 2026

Open iEEG-fMRI dataset from stimulation with a short audiovisual film Full description of the data in our dataset paper: https://www.nature.com/articles/s41597-022-01173-0 Video description of the dataset: https://www.youtube.com/watch?v=C14cWM1CvrE&t=13s UMC Utrecht Team https://www.nick-ramsey.eu/

Participants

63

Size

15.2 GB

Updated

Jun 6, 2026

This dataset contains raw and processed MEG data for the paper "Model-based aversive learning in humans is supported by preferential task state reactivation" by Toby Wise, Yunzhe Liu, Fatima Chowdhury & Ray Dolan. Raw data is provided as `.fif` files, although it was acquired on a CRF system.

Participants

28

Size

212 GB

Updated

Jun 6, 2026

**Synopsis** This is the **GX dataset** formatted to comply with [BIDS](https://bids.neuroimaging.io/) standard format. The tES/EEG/CTT/Vigilance experiment contains 19 unique participants (some repeated experiments). Over a 70 min period EEG/ECG/EOG were recorded concurrently with a [CTT](https://sccn.ucsd.edu/~scott/pdf/COMPTRACK.pdf) where participants maintained a ball at the center of the screen and were periodically stimulated (with low-intensity noninvasive brain stimulation) for 30 sec

Participants

25

Size

72.2 GB

Updated

Jun 6, 2026