Discover datasets

An EEG study investigating the effects of episodic future thinking on temporal discounting behavior. Participants generated descriptions of future events and subsequently used mental imagery of these events as cues during intertemporal choice tasks, with concurrent measurement of imagery vividness. This dataset provides neurophysiological recordings during decision-making processes influenced by prospective cognition.

Size

16.1 GB

Updated

Jun 18, 2026

Imported from OpenNeuro ds005512

Size

157 GB

Updated

May 25, 2026

This dataset comprises EEG recordings from twelve participants performing three learning tasks with varying reward contingencies. Participants learned cue-response mappings for colored shape stimuli with feedback validity manipulated across conditions (50% for low-value cues, 80% for high-value cues). The study investigates how average task value influences learning and neural processing during reinforcement learning.

Citations

3

Size

4.00 GB

Updated

Jun 23, 2026

An EEG dataset of imagined speech from 15 healthy participants comparing traditional cue-based and gamified (Pac-Man maze) paradigms for brain-computer interface applications. The dataset comprises 1,800 trials across four Spanish directional commands recorded at 500 Hz from 24 electrodes using the mBrainTrain Smarting system. This derivative dataset enables systematic evaluation of paradigm design effects on imagined speech decoding performance.

Size

829 MB

Updated

Jun 22, 2026

Imported from OpenNeuro ds005514

Size

185 GB

Updated

May 25, 2026

The Natural Object Dataset (NOD) integrates magnetoencephalography (MEG), electroencephalography (EEG), and functional magnetic resonance imaging (fMRI) data collected from the same subjects viewing naturalistic stimuli from ImageNet. This trimodal neuroimaging resource provides both high spatial resolution (fMRI) and high temporal resolution (MEG/EEG) for investigating object recognition mechanisms. The dataset encompasses diverse naturalistic stimuli and a broad subject pool, facilitating exploration of neural activation patterns across stimuli and subjects. The EEG component is available as a separate dataset (ds005811).

Citations

1

Size

215 GB

Updated

Jun 27, 2026

This dataset comprises electroencephalography (EEG) recordings from participants performing three near-threshold visual detection tasks with varying cue validity conditions: a no-cue baseline task, a noninformative cue task (50% validity), and an informative cue task (100% validity). The study investigates the neural mechanisms underlying visual perception at detection threshold, with particular focus on prestimulus alpha-band activity and its relationship to perceptual performance.

Size

67.8 GB

Updated

Jun 28, 2026

Imported from OpenNeuro ds005515

Size

317 GB

Updated

May 25, 2026

A comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms—motor imagery, event-related potentials, and steady-state visually evoked potentials—across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that motor imagery exhibits the highest illiteracy rate (53.7%) compared to other paradigms, while all participants demonstrated proficiency with at least one BCI system.

Citations

98

Size

60.8 GB

Updated

Jun 3, 2026

This event-related potentials (ERP) study investigates cognitive conflict during moral judgment of accidental harm using EEG recordings from 31 participants. Participants performed a combined semantic and moral judgment task, evaluating scenarios involving intentional or accidental harm while making congruency judgments about target words. The orthogonal manipulation of agent intention and semantic congruency across four conditions enables examination of how moral and semantic processing interact in the brain.

Citations

1

Size

3.79 GB

Updated

Jun 25, 2026