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BigP3BCI Study B is a derivative EEG dataset containing P300 brain-computer interface recordings from 19 ALS patients across 8 sessions each, using a 6x6 checkerboard visual speller paradigm. The dataset comprises 16-channel EEG data sampled at 256 Hz, annotated with target and non-target event classifications using HED 8.4.0 schema. This dataset is a subset of the larger BigP3BCI collection, the largest public P300 BCI dataset with recordings from approximately 267 subjects across multiple studies.

Participants

19

Channels

16 (10-10)

HED

v8.4.0

Size

4.28 GB

Version

v1.0.2

Updated

Aug 18, 2026

…that were found to be predictive of symptoms consistent with attention-deficit…

Participants

127

Channels

27

Citations

10

Size

10.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from Experiment 2 of a study investigating memory reactivation under anticipated interference, using a working memory task with lateralized visual objects and dual-task distractor manipulations. Participants memorized cued objects, performed a secondary distractor identification task in some blocks, and were subsequently tested on their memory via a two-alternative forced-choice probe. The dataset is intended to examine how anticipated interference affects neural memory reactivation processes.

Participants

56

Channels

30 (10-10)

Size

40.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

…1.3.0 This dataset is valuable for research on: - Predictive braking…

Participants

15

Channels

59 (10-10)

Citations

81

HED

v8.4.0

Size

14.2 GB

Version

v1.0.2

Updated

Aug 18, 2026

This dataset comprises fMRI, EEG, ECG, and behavioural data from a study examining how Targeted Memory Reactivation (TMR) during REM sleep affects emotional reactivity to affective images. Participants rated arousal of affective image-sound pairs, with a subset of sounds cued during subsequent REM sleep, and their responses were assessed via heart rate deceleration, fMRI scanning, and follow-up ratings over multiple sessions. The study aims to elucidate mechanisms underlying memory-based depotentiation of emotional reactivity.

Participants

18

Channels

10 (10-20)

Size

6.47 GB

Version

v1.0.0

Updated

Aug 19, 2026

MIPDB is a multimodal neuroimaging resource comprising high-density EEG (128-channel, 500 Hz) and eye-tracking data collected from 111 participants spanning childhood to adulthood. Participants completed a standardized battery of cognitive and perceptual tasks including resting state, surround suppression, naturalistic viewing, contrast-change detection, sequence learning, and symbol search. This dataset enables investigation of information-processing maturation across human development.

Participants

111

Size

110 GB

Version

v1.0.0

Updated

Aug 14, 2026

This dataset investigates the neurobehavioral mechanisms linking childhood sexual abuse and problem drinking in women using EEG neuroimaging data collected from monozygotic twin pairs. The study employs a behavioral task with visual stimuli to examine neural correlates associated with these clinical phenotypes. Data were collected at Washington University School of Medicine under IRB approval and include detailed task descriptions, stimulus materials, and genetic relationship information for twin participants.

Participants

118

Channels

35 (10-10)

Size

73.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

BigP3BCI Study S2 is a P300-based brain-computer interface dataset comprising EEG recordings from 24 healthy subjects performing a 9x8 house/tool visual speller paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz, annotated with target and non-target event classifications using HED 8.4.0 schema. This dataset is part of the larger BigP3BCI collection (the largest public P300 BCI dataset with recordings from approximately 267 subjects across 20 studies), designed to support machine learning research and BCI benchmarking. Trial intervals span 0-1.0 seconds from stimulus onset.

Participants

24

Channels

32 (10-10)

HED

v8.4.0

Size

3.74 GB

Version

v1.0.3

Updated

Aug 18, 2026

This EEG dataset comprises electrophysiological recordings from 62 obese and non-obese preteens performing a delayed-verification arithmetic task. The study investigates the effect of obesity on neural processing of mathematical cognition in children with varying math proficiency levels using 128-channel high-density electroencephalography. Event-related potentials were recorded to examine differences in brain activity during arithmetic processing between groups.

Participants

62

Channels

128 (egi-geodesic)

Citations

1

Size

17.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises synchronized electroencephalographic (EEG), autonomic physiological, and behavioral recordings acquired during an emotional word association task. Participants performed a lexical task involving fear-related concepts, selecting or generating words in response to prompts while neural activity, autonomic responses (electrodermal activity, blood volume pulse, interbeat interval, and skin temperature), and behavioral events were recorded. The dataset includes 8-channel EEG data sampled at 250 Hz alongside physiological signals from an Empatica E4 wristband, with semantic similarity measures between consecutive word responses. This is the enriched version of OpenNeuro dataset ds007955 with additional analysis and documentation. Note: Physiological data for participant 7 are unavailable due to a data acquisition error with the Empatica E4 recording system; EEG and behavioral data remain available for this participant.

Participants

9

Channels

8 (10-20)

Citations

3

Size

26.4 MB

Version

v1.0.0

Updated

Jul 10, 2026