Discover datasets

EEG recordings from children performing letter discrimination and visual search tasks involving the mirror-image letters b and d, collected in an embodied learning for literacy study. Each participant completed a pre-intervention discrimination task, an intervention-phase visual search task, and a post-intervention discrimination task. Participants were assigned to an intervention or control group, and events mark stimulus presentation of b and d letters, including practice trials.

Participants

21

Channels

64 (10-10)

Size

36.6 GB

Version

v1.0.0

Updated

Jun 23, 2026

This dataset contains behavioral events and intracranial EEG recordings from a delayed free recall task in which participants studied visually presented word lists, solved arithmetic distractor problems, and then freely recalled the words. Data were collected at clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. It is a preliminary cognitive electrophysiology study that precedes the FR1 and CatFR1 datasets.

Participants

49

Size

97.8 GB

Version

v1.0.0

Updated

Jun 25, 2026

This dataset contains EEG recordings acquired with a BioSemi system in an implicit learning paradigm. It is organized according to the EEG-BIDS specification and was prepared with MNE-BIDS. The data are shared as a raw BIDS dataset under a CC0 license.

Participants

61

Size

114 GB

Version

v1.0.0

Updated

Jun 20, 2026

Intracranial EEG and behavioral event data from a paired associates learning task in which participants studied pairs of visually presented words, solved arithmetic distractor problems, and then performed cued recall. Data were collected from clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. Recordings include monopolar and bipolar iEEG with subject-specific electrode montages, MNI/Talairach coordinates, and brain region annotations.

Participants

72

Size

167 GB

Version

v1.0.0

Updated

Jun 26, 2026

EEG dataset from 40 participants performing a two-door choice task with monetary gain or loss feedback. Blocks were either learnable, with one door yielding wins 60% of the time versus 10% for the other, or unlearnable, with outcomes drawn from learnable blocks and shuffled so that win and loss totals were matched. Each block was followed by a short survey on perceived door quality, enjoyment, motivation, and performance.

Participants

40

Channels

32 (10-10)

Citations

1

Size

3.34 GB

Version

v1.0.0

Updated

Jun 30, 2026

This dataset provides behavioral events and intracranial EEG recordings from a categorized delayed free recall task. Participants studied visually presented word lists built from 25 semantic categories, completed arithmetic distractor problems, and then freely recalled the words. Each 12-word list contains pairs of same-category words from three categories. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.

Participants

258

Size

477 GB

Version

v1.0.0

Updated

Jun 25, 2026

MULTI-CLARID is a combined fMRI/EEG dataset acquired during an auditory category learning task and resting state. It includes 63-channel EEG with ECG, EOG, facial EMG and skin conductance, plus respiration and finger-pulse recordings, and T1-weighted and UTE anatomical MR scans. Five participants' datasets containing the multi-dimensional category learning experiment are currently shared.

Participants

34

Channels

72 (10-10)

Size

6.43 GB

Version

v1.0.0

Updated

Jun 27, 2026

EEG recordings from 13 healthy participants performing a copy-spelling task with a visual 6x7 matrix ERP speller. The speller was designed for learning from label proportions (LLP), an unsupervised, calibrationless classification approach for ERP-based brain-computer interfaces. Two stimulus sequences with different target/non-target ratios allowed LLP to reconstruct mean target and non-target responses without labeled data. In the original online study, 84.5% of characters were spelled correctly on average without prior calibration.

Participants

13

Channels

31 (10-10)

Citations

46

HED

v8.4.0

Size

5.15 GB

Version

v1.0.3

Updated

Oct 8, 2026

This dataset contains EEG recordings from 24 pairs of participants performing a 4-way categorisation task based on rules they first agreed upon together. Participants also completed pre- and post-tests on the same stimuli. The data were collected to investigate how collaborative rule learning promotes information alignment between interacting brains.

Participants

24

Citations

6

Size

62.2 GB

Version

v1.0.0

Updated

Jun 29, 2026

EEG recordings from 25 college-age participants performing a probabilistic reinforcement learning task with affective feedback (Experiment 2). The dataset was collected to examine how the Reward Positivity (RewP) event-related potential is sensitive to affective liking of feedback stimuli. Data were acquired circa 2019 at the University of New Mexico.

Participants

25

Channels

66 (10-10)

Size

4.62 GB

Version

v1.0.0

Updated

Jun 22, 2026