Discover datasets

This dataset provides bimodal EEG and fMRI recordings acquired non-simultaneously during an inner-speech production task. Four healthy, right-handed participants silently produced eight words drawn from two semantic categories (social and numerical) across multiple trials. The dataset aims to support the development of speech prostheses and brain-computer interfaces by enabling multimodal fusion of high temporal (EEG) and high spatial (fMRI) resolution neuroimaging data.

Participants

4

Channels

64 (10-10)

Citations

27

Size

9.33 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises intracranial EEG (ECoG) recordings from 14 epilepsy patients implanted with subdural grid and depth electrodes, collected while they viewed grayscale and color visual stimuli varying in spatial and temporal properties. The recordings were designed to characterize temporal and spatial dynamics of neural responses in human visual cortex, including population receptive field mapping and category-selective responses. Pre-implantation T1-weighted MRI scans are also included for electrode localization. The dataset supports multiple published studies on visual cortical dynamics and adaptation.

Participants

14

Citations

61

Size

57.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset presents EEG recordings from a randomized controlled trial examining the effects of forward and backward working memory span training on working memory performance. Event-related potentials were collected at pre-, mid-, and post-test sessions while participants performed a change detection task with varying target and distractor conditions. The study compares behavioral and ERP indices of working memory maintenance and interference control across training groups.

Participants

71

Citations

1

Size

77.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains behavioral and EEG data from twenty-one participants who learned to perform two drumming sequences (AABA and AAABAA) at three tempos (60, 100, and 150 bpm) using keyboard responses. Trial-by-trial visual feedback indicated timing accuracy relative to an adaptive response window, allowing investigation of motor learning and timing control. The dataset includes detailed event coding for stimulus conditions and feedback types across trials.

Participants

21

Channels

31 (10-10)

Citations

1

Size

4.77 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG recordings from 57 obese and non-obese preadolescents performing a stop-signal task designed to assess inhibitory control. Data were collected at the Arkansas Children Nutrition Center using a 128-channel Geodesic Hydrocell Sensor Net system, aiming to investigate event-related potential differences associated with obesity in preteens.

Participants

57

Channels

128 (egi-geodesic)

Citations

17

Size

23.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from twelve participants who each completed three probabilistic learning tasks involving cue-response mappings with varying feedback validity (low, high, and mixed value cues). The study investigates how average task value modulates learning and neural correlates of feedback processing. Data were collected to test computational and physiological hypotheses regarding reinforcement learning and reward valuation.

Participants

12

Channels

31 (10-10)

Citations

4

Size

4.00 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains electrophysiological recordings from rat somatosensory cortex obtained using DISC (Diamond-based Implantable Sensing probes/electrodes) for validation purposes. Anesthetized rats received whisker stimulation via an air puffer, with task labels corresponding to the specific whisker stimulated. The dataset supports validation of DISC neural recording technology in a rodent somatosensory model.

Participants

8

Citations

2

Size

188 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG, eye-tracking, and vehicle performance data collected during the BCIT Traffic Complexity study, in which subjects performed a simulated driving task under varying visual complexity and perturbation frequency conditions. The study aimed to identify biomarkers of driver fatigue by comparing EEG-based predictive algorithms to objective performance measures and subjective fatigue scales. Data collection took place at Teledyne Corporation in Durham, NC, and is related to companion datasets on Baseline Driving and Calibration Driving tasks.

Participants

29

Channels

64 (10-10)

Citations

39

HED

v8.0.0

Size

17.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG and vehicle performance data from the BCIT Speed Control study, designed to investigate driver fatigue during extended, simulated driving tasks. Subjects performed continuous driving under cruise-controlled and manual speed conditions while EEG, steering, and lane-position data were recorded to identify biomarkers of fatigue-related performance decline. The study builds on the related Baseline Driving paradigm and contrasts fatigued driving conditions with a non-fatigued calibration session.

Participants

32

Channels

64 (10-10)

Citations

41

HED

v8.0.0

Size

36.2 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG, eye-tracking, and simulated driving performance data collected during the BCIT Mind Wandering study, in which subjects performed a prolonged simulated driving task under varying background audio conditions (task-relevant, non-task-relevant, and internal focus) while responding to periodic lateral perturbations and a vigilance task requiring detection of police vehicles. The study aimed to identify EEG-based biomarkers of driver fatigue and mind wandering by comparing extended time-on-task driving performance to a non-fatigued calibration session. Data were collected at Teledyne Laboratories under a US Army Research Laboratory contract as part of a broader effort to develop predictive fatigue algorithms from neural and behavioral signals.

Participants

21

Channels

64 (10-10)

Citations

32

HED

v8.0.0

Size

23.9 GB

Version

v1.0.0

Updated

Aug 19, 2026