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This dataset contains stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task in the epilepsy monitoring unit at Oregon Health & Science University. The data were analyzed in collaboration with the University of Oregon and were used to characterize movement-related oscillations in intracranial recordings. It is organized in BIDS format.

Participants

8

Citations

6

Size

14.5 GB

Version

v1.0.0

Updated

Jun 24, 2026

Raw 64-channel EEG, ECG, PPG and behavioral recordings from 30 healthy young adults (18–32 years) during resting state and a verbal working memory digit-span task with serial recall. The resting session alternated eyes-closed and eyes-open blocks followed by passive cartoon viewing. In the working memory task, seven-digit sequences were presented visually either simultaneously or sequentially at different rates and with different inter-stimulus intervals, allowing study of how presentation mode affects neural oscillations and peripheral physiology.

Participants

30

Channels

63 (10-10)

Citations

3

Size

41.4 GB

Version

v1.0.0

Updated

Jun 29, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005486-blue…

Participants

159

Size

371 GB

Version

v1.0.0

Updated

Jun 27, 2026

Stereo-EEG recordings from six patients with medically refractory epilepsy performing a scene recognition memory task with concurrent EyeLink eye tracking. The dataset accompanies a study of how the human hippocampus rapidly coordinates effective learning, and is a lossless iEEG-BIDS re-packaging of the authors' public Zenodo release. It includes electrode MNI coordinates, behavioural arrays, eye-tracking files and the authors' analysis code in sourcedata.

Participants

6

Size

41.7 GB

Version

v1.0.0

Updated

Oct 8, 2026

…s] Independent variables - [Electrocortical alpha synchronization in response to 'close_oc' event…

Participants

15

Channels

120 (other)

Size

3.31 GB

Version

v1.0.0

Updated

Jun 30, 2026

A calibrated task subset of Kai J. Miller's library of human electrocorticographic (ECoG) data, comprising 111 recordings from 24 epilepsy patients with subdural electrode grids. Tasks include finger flexion, hand gestures, motor movement and imagery, and verb generation and noun reading. Data were recorded at 1 kHz and converted to BIDS in BrainVision format with source-documented amplitude calibration.

Participants

24

Size

14.0 GB

Version

v1.0.0

Updated

Oct 8, 2026

Raw multimodal recordings of 18-channel EEG and functional near-infrared spectroscopy (fNIRS) from seven participants with orthopedic impairment performing motor imagery tasks. Each participant completed three sessions of 40 trials, with four motor imagery tasks (reach, twist, lift, grasp) presented in random order. The dataset supports research on multimodal brain-computer interfaces for people with motor impairments.

Participants

7

Channels

18

Citations

2

Size

635 MB

Version

v1.0.0

Updated

May 25, 2026

…processes. ## Synchronization All data streams were timestamped during acquisition, allowing synchronization between…

Participants

9

Channels

8 (10-20)

Size

29.4 MB

Version

v1.0.0

Updated

Jun 17, 2026

NEMAR Dataset nm000107: wrist - Wrist movement control from EMG

Participants

100

Size

24.9 GB

Version

v2.0.0

Updated

Feb 23, 2026

…brain-computer interfaces, machine learning, random forests, regularized linear discriminant analysis, sensorimotor…

Participants

14

Channels

15 (other)

HED

v8.4.0

Size

1.37 GB

Version

v1.0.5

Updated

Oct 8, 2026