Discover datasets

EEG recordings from 15 participants performing imagined speech of five commands ("Hello", "Help me", "Stop", "Thank you", "Yes"), released for the 2020 BCI Competition Track 3. The data are split into training, validation and test runs to support machine-learning decoding of imagined speech for brain-computer interfaces. The dataset was converted from the original MATLAB files to BIDS-compliant EDF with trial annotations.

Participants

15

Channels

64 (10-10)

Size

585 MB

Version

v1.0.0

Updated

Mar 14, 2026

…data integrity and minimizing potential interference. The sampling rate was set to…

Participants

35

Channels

19 (10-20)

Citations

29

Size

356 MB

Version

v1.0.0

Updated

Jun 26, 2026

This dataset contains 64-channel EEG recordings and behavioural ratings from four participants who read and evaluated 210 short English-language texts: Haiku, Senryu, and non-poetic control texts. Each text was rated on aesthetic appeal, vivid imagery, being moved, originality, and creativity. These participants' recordings were acquired in segments because of session interruptions and were concatenated during preprocessing. They are released as a companion to the main Poetry Assessment EEG Dataset 1 for completeness and transparency.

Participants

4

Channels

64 (10-10)

Size

4.29 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset contains behavioral events and intracranial EEG recordings from a delayed free recall task in which participants studied visually presented word lists, completed arithmetic distractor problems, and then freely recalled the words. Open-loop electrical stimulation was delivered during encoding to single electrodes in the hippocampus and entorhinal cortex, on alternating two-word blocks in 20 of 25 lists per session. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.

Participants

38

Size

64.9 GB

Version

v1.0.0

Updated

Jun 27, 2026

…with 9 different prompts & scales. Semantic segmentation was used to extract area…

Participants

63

Channels

66 (other)

Size

34.7 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset contains 64-channel EEG recordings from people with and without vicarious touch experiences. Participants either felt touch to their fingers or watched matched videos of touch to another person's fingers. It was collected to test, using time-resolved multivariate pattern analysis, whether seen touch evokes neural representations that overlap with first-hand touch. Raw and processed data, code and stimuli are included.

Participants

40

Channels

64

Citations

12

Size

172 GB

Version

v1.0.0

Updated

Jun 24, 2026

…48 affective images paired with semantically matching sounds. Heart rate deceleration was…

Participants

18

Channels

10 (10-20)

Size

6.47 GB

Version

v1.0.0

Updated

Jun 27, 2026

EEG dataset investigating the neural representation of consciously seen and unseen information. The recordings were collected by Rodríguez-San Esteban, Chica, and González-López and are shared in BIDS format. The dataset is mirrored on NEMAR from OpenNeuro (ds005273).

Participants

33

Channels

63 (10-10)

Size

44.4 GB

Version

v1.0.0

Updated

Jun 26, 2026

…computer interface (BCI) research and semantic decoding methods can be effectively conducted…

Participants

20

Channels

32 (10-10)

Size

8.78 GB

Version

v1.0.3

Updated

Sep 23, 2026

This dataset pools EOG recordings from two earlier studies (20 participants from Jaeger et al., 2020 and 21 from Holtze et al., 2021) that used a competing-speaker paradigm. Participants attended to either the left or the right of two simultaneously presented audio books. The dataset supports analysis of the relation between eye blinks and speech pauses.

Participants

41

Channels

7 (egi-geodesic)

Citations

1

Size

8.01 GB

Version

v1.0.0

Updated

Jun 24, 2026