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An EEG + motion capture data set, analyzed and published in "Gramann, K., Hohlefeld, F. U., Gehrke, L., & Klug, M. (2021). Human cortical dynamics during full-body heading changes. Scientific Reports, 11(1), 18186". Used as a BIDS-example data set for EEG + motion : https://github.com/bids-standard/bids-examples/tree/master/motion_spotrotation Overview -------- This is the "Spot rotation" dataset. It contains EEG and motion data collected from 20 subjects collected at the Berlin Mobile Brain-B

Participants

20

Size

59.1 GB

Updated

Jun 6, 2026

# Basis Profile Curve identification in the human ventral temporal cortex This dataset contains intracranial EEG recordings from five patients during single pulse electrical stimulation as described in: * Huang, H., Gregg, N. M., Valencia, G. O., Brinkmann, B. H., Lundstrom, B. N., Worrell, G. A., ... & Hermes, D. (2023). Electrical stimulation of temporal and limbic circuitry produces distinct responses in human ventral temporal cortex. Journal of Neuroscience. DOI: https://doi.org/10.1523/J

Participants

5

Size

10.9 GB

Updated

Jun 6, 2026

Data Descriptor Article Iwama, S., Morishige, M., Kodama, M. et al. High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing. Sci Data 10, 385 (2023). https://doi.org/10.1038/s41597-023-02260-6 Sample code https://github.com/Junichi-Ushiba-Laboratory/pj-hd-smrbmi

Participants

56

Size

38.2 GB

Updated

Jun 6, 2026

Data Descriptor Article Iwama, S., Morishige, M., Kodama, M. et al. High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing. Sci Data 10, 385 (2023). https://doi.org/10.1038/s41597-023-02260-6 Sample code https://github.com/Junichi-Ushiba-Laboratory/pj-hd-smrbmi

Participants

22

Size

20.7 GB

Updated

Jun 6, 2026

Data Descriptor Article Iwama, S., Morishige, M., Kodama, M. et al. High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing. Sci Data 10, 385 (2023). https://doi.org/10.1038/s41597-023-02260-6 Sample code https://github.com/Junichi-Ushiba-Laboratory/pj-hd-smrbmi

Participants

30

Size

29.2 GB

Updated

Jun 6, 2026

Data Descriptor Article Iwama, S., Morishige, M., Kodama, M. et al. High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing. Sci Data 10, 385 (2023). https://doi.org/10.1038/s41597-023-02260-6 Sample code https://github.com/Junichi-Ushiba-Laboratory/pj-hd-smrbmi

Participants

30

Size

48.6 GB

Updated

Jun 6, 2026

The data in one study [^1] and then added to by another [^2] and contains EEG responses of healthy, neurotypical adults who listened to naturalistic speech. The subjects listened to segments from an audio book version of "The Old Man and the Sea" and their brain activity was recorded using a 128-channel ActiveTwo EEG system (BioSemi). The stimuli folder contains .wav files of the presented audiobook segments as well as a .TextGrid file for each segment, containng the timing of words and phone

Participants

19

Size

18.7 GB

Updated

Jun 6, 2026

The MEG files contain a channel with triggers necessary for event marking and timing. Separate event files with onsets are provided in the participant directories for completeness only; the MEG triggers should be used for actual onsets in analysis. The delay between the trigger and the visual onset of an on-screen event sent by the projector is approximately 20 ms, as estimated using a photodiode. Localizer phase triggers: [Info to be added] Struct and Rew phase triggers: [Info to be added] P

Participants

1

Size

1.28 GB

Updated

Jun 6, 2026

The Penn Electrophysiology of Encoding and Retrieval Study (PEERS) aimed to characterize the behavioral and electrophysiological (EEG) correlates of memory encoding and retrieval in highly practiced individuals. Across five PEERS experiments, 300+ subjects contributed more than 7,000 90 minute memory testing sessions with recorded EEG data. See the Computational Memory Lab's [wiki page](https://memory.psych.upenn.edu/PEERS) for more detailed information, and [this paper](https://psyarxiv.com/bu

Participants

364

Size

8.72 TB

Updated

Jun 6, 2026

Description -------- This is a data set consisting of simultaneous electroencephalography (EEG), electrospinography (ESG), electroneurography (ENG), and electromyography (EMG) recordings from 26 participants. There were nine different recording conditions: i) resting state with eyes open, ii) mixed median nerve stimulation (arm nerve), iii) mixed tibial nerve stimulation (leg nerve), iv) sensory nerve stimulation of the index finger, v) sensory nerve stimulation of the middle finger, vi) simulta

Participants

26

Size

377 GB

Updated

Jun 6, 2026