Discover datasets

This EEG dataset comprises recordings from 25 college-age participants performing a reinforcement learning task with affective feedback, collected in 2018 at the Clinical Research Center Laboratory (CRCL) at the University of New Mexico. The study investigates the reward positivity component of the event-related potential and its sensitivity to affective liking during probabilistic learning. The dataset includes raw EEG data, behavioral task parameters, and analysis scripts supporting the published findings in Cognitive, Affective, & Behavioral Neuroscience.

Participants

25

Channels

66 (10-10)

Size

5.82 GB

Version

v1.0.0

Updated

Jul 10, 2026

The PURSUE N170 Face Perception dataset comprises event-related potential (ERP) recordings from a face perception task conducted across three undergraduate institutions. Data were collected from participants in 2017-2018 using a standardized task design documented in the ERP CORE resource. This dataset provides a multisite contribution to open-access human electrophysiological research on face processing and the N170 component.

Participants

292

Channels

32 (10-10)

Size

11.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises MEG recordings collected to investigate the sustained neural representations of personally familiar people and places during a cued recall task. Participants were cued to recall familiar individuals and locations while brain activity was measured to examine the temporal dynamics of memory-related representations.

Participants

30

Size

76.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This open-access EEG dataset comprises multi-session, multi-task recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface research and mental workload estimation in neuroergonomic applications.

Participants

15

Channels

61 (10-10)

Citations

64

HED

v8.4.0

Size

4.04 GB

Version

v1.0.3

Updated

Aug 18, 2026

Imported from OpenNeuro ds003825

Participants

50

Channels

63

Citations

1

Size

59.9 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from ten participants exposed to six marketing video stimuli from three companies (Red Bull, GoPro, and Columbia Sportswear). Videos were categorized as either traditional product-focused advertisements or extreme, authentic documentary-style content, enabling investigation of consumer neural responses to different marketing strategies. The dataset supports research in neuromarketing and consumer neuroscience.

Participants

10

Channels

14 (10-10)

Citations

1

Size

25.8 MB

Version

v1.0.0

Updated

Aug 18, 2026

Participants

8

Citations

6

Size

7.74 GB

Version

v1.0.2

Updated

Jul 10, 2026

This dataset comprises preprocessed EEG recordings from 6 healthy participants performing imagined speech tasks, specifically discriminating between short and long words ('cooperate' vs 'in'). Data were acquired at 256 Hz using 64 EEG channels and processed with bandpass filtering (8-70 Hz), notch filtering (60 Hz), and artifact removal. The dataset contains 1,200 trials. Classification results (mean accuracy 73.3±8.9%) reported in the original Nguyen et al. 2017 study are provided for reference.

Participants

6

Channels

60 (10-10)

Citations

98

HED

v8.4.0

Size

1.15 GB

Version

v1.0.3

Updated

Aug 18, 2026