Discover datasets

…early posterior positivity (Visual P2) for out-party stimuli emerging as early…

Participants

44

Channels

65

Size

13.3 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from Experiment 2 of a study investigating whether memory reactivation levels are affected by anticipated interference during a dual-task paradigm. Participants performed a visual working memory task with varying cognitive load (single vs. dual task conditions), where they memorized lateral objects and later identified them among probes, with half the blocks including distractor identification tasks. The dataset includes raw EEG data collected during this experiment. For preprocessing details, see the related preprint and OSF repository listed in related_identifiers.

Participants

56

Channels

30 (10-10)

Size

40.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026

…The stimuli included all 26 letters of the English alphabet, as well…

Participants

21

Channels

19 (10-20)

Size

615 MB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task, collected in the epilepsy monitoring unit at Oregon Health & Science University. The data extends characterization of movement-related neural oscillations using intracranial electrode recordings, providing insights into canonical motor-related activity patterns across distributed brain regions.

Participants

8

Size

14.2 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises continuous EEG recordings from 12 subjects during a visual attention task, originally published by Gramann et al. (2010) to investigate dimension-based attention modulation of early visual processing. The dataset includes 64-channel scalp EEG data with pre-computed ICA decomposition and expert-annotated independent component labels, providing a resource for studying automatic component classification and visual attention mechanisms. The original data was subsequently used by Frølich et al. (2015) to investigate automatic labeling of independent components in ICA. Data was converted to BIDS format by Austin J. Brockmeier and Carlos H. Mendoza-Cardenas with permission from Klaus Gramann, following a data copy provided by Laura Frølich.

Participants

12

Channels

64 (10-10)

Size

5.63 GB

Version

vv1.0.0

Updated

Jul 10, 2026

…Subjects were asked to gaze at one of the visual stimuli indicated…

Participants

9

Channels

8 (10-10)

Citations

92

HED

v8.4.0

Size

65.1 MB

Version

vv1.0.0

Updated

Jul 10, 2026

Participants

10

Channels

60 (10-10)

HED

v8.4.0

Size

1.60 GB

Version

vv1.0.0

Updated

Jul 10, 2026

…The interval between the stimuli was 750 ms. Occasionally a smiley face…

Participants

2

Size

1.68 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises high-density EEG recordings from 15 healthy young adults during treadmill walking at multiple speeds (0.0–1.6 m/s) with intermittent visual occlusions induced by liquid crystal lens goggles. The study investigates neurophysiological responses to visual processing disruptions during gait by measuring electrocortical alpha synchronization. Concurrent recordings include EMG, ground reaction forces, and inertial measurement unit data to characterize the sensorimotor context of visual processing during locomotion. NOTE: This dataset represents a subset of a larger protocol containing 13 additional conditions. Some participants have incomplete or missing Loadsol insole sensor data (sub-05, sub-06, sub-07) and IMU data (sub-02, sub-04, sub-06, sub-12). One participant (sub-01) is missing part of the noise sensor array.

Participants

15

Channels

120 (other)

Size

3.31 GB

Version

vv1.0.0

Updated

Jul 10, 2026

…Magnetoencephalography (MEG) dataset recorded during a hMT+ (human visual motion area) localizer…

Participants

12

Size

10.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026