Discover datasets

This dataset contains behavioral events and intracranial electrophysiological (iEEG) recordings from a repeated-item free recall task. Participants studied visually presented word lists, each containing 27 encoding events drawn from 12 unique words repeated one, two, or three times. After a 7-second delay they freely recalled the words in any order. Data were collected at clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.

Participants

48

Size

157 GB

Version

v1.0.0

Updated

Jun 27, 2026

…but also enabling robust transfer learning studies for other alphabetic languages. Data…

Participants

20

Channels

32 (10-10)

Size

15.9 GB

Version

v1.0.0

Updated

Jun 29, 2026

EEG dataset from a visual working memory experiment (Experiment 2) examining whether memory reactivation levels are affected by anticipated interference. Participants memorized 2 or 6 lateral objects, then performed either a dual task with distractors or a single fixation-only task during the delay, before selecting the cued object in a probe display. The data have been preprocessed; the preprocessing steps are described in the associated preprint and OSF repository (Experiment 2).

Participants

56

Channels

30 (10-10)

Size

40.1 GB

Version

v1.0.0

Updated

Jun 28, 2026

This dataset contains EEG, physiological, and behavioural recordings collected in 2020 from 44 healthy adults aged 21-40. It includes eyes-closed resting-state recordings and two tasks: a spontaneous deception task (a gambling game with self-reported dice-roll predictions) and a cognitive control task battery. The battery covers processing speed, response selection, response inhibition, and conflict resolution.

Participants

45

Channels

139 (other)

Size

202 GB

Version

v1.0.0

Updated

Jun 24, 2026

EEG dataset investigating proactive selective attention across different competition contexts. The dataset is mirrored on NEMAR from OpenNeuro (ds005089) and organized in BIDS format.

Participants

36

Channels

63 (10-10)

Citations

6

Size

68.0 GB

Version

v1.0.0

Updated

Jun 26, 2026

…PD, or to build machine learning models for classification. Questions or requests…

Participants

94

Channels

63 (10-10)

Citations

2

Size

1.74 GB

Version

v1.0.0

Updated

Jun 29, 2026

EmoEEG-MC is a multi-context emotional EEG dataset containing 64-channel EEG and peripheral physiological signals (PPG and GSR) from 60 participants. Emotions were induced in two contexts, video viewing and mental imagery, and covered seven categories: joy, inspiration, tenderness, fear, disgust, sadness and neutral. The dataset is intended to support cross-context emotion decoding, and SVM baselines with L1 regularization achieved above-chance accuracy for binary and seven-category classification.

Participants

60

Channels

64

Size

70.4 GB

Version

v1.0.0

Updated

Jun 27, 2026

…drone control, adaptive learning, difficulty regulation, visuomotor learning - **Environment**: indoor laboratory - **Online…

Participants

13

Channels

64 (10-10)

Citations

24

HED

v8.4.0

Size

9.42 GB

Version

v1.0.2

Updated

Aug 18, 2026

DataSet1 is an EEG dataset originally deposited on OpenNeuro (ds002791) and mirrored on NEMAR. It was contributed by Mheich, Dufor, Yassine, Kabbara, Wendling and Hassan. The available documentation gives no further detail on the experimental paradigm or participants.

Participants

23

Channels

256 (egi-geodesic)

Size

47.1 GB

Version

v1.0.0

Updated

Jun 21, 2026

…EEGLAB preprocessing derivatives and subject-level machine-learning exports are under derivatives…

Participants

30

Channels

124 (10-05)

Size

181 GB

Version

v1.0.0

Updated

Sep 8, 2026