Discover datasets

A BIDS-formatted high-density surface EMG (HDsEMG) dataset from 16 young volunteers performing submaximal (10-80% MVC) isometric ankle dorsiflexions (tibialis anterior, n=8) or knee extensions (vastus lateralis, n=8). Signals were recorded with four 64-electrode arrays (256 channels in total) together with force signals, supporting the decomposition of extensive motor unit samples and the study of rate coding. It is a BIDS conversion of the data from Avrillon et al. 2024, produced with the MUniverse software.

Participants

16

Size

5.51 GB

Version

v1.0.1

Updated

Jun 1, 2026

…Neidert, Johannes Sarnthein, Low impedance electrodes improve detection of high frequency oscillations…

Participants

10

Citations

10

Size

1.20 GB

Version

v1.0.0

Updated

Jun 25, 2026

The MNE-Sample-Data dataset is a simultaneous MEG and 60-channel EEG recording with an accompanying structural MRI, distributed with the MNE software. Checkerboard patterns were presented to the left and right visual fields, interleaved with tones to the left or right ear, and the subject responded to occasional smiley faces. It serves as a standard example dataset for demonstrating MEG/EEG analysis workflows, and FreeSurfer-derived anatomical surfaces are included.

Participants

2

Size

1.93 GB

Version

v1.0.0

Updated

Jun 20, 2026

…This dataset was collected for EEG-based pathology detection and normal/abnormal…

Participants

2417

Channels

21 (10-20)

Size

13.8 GB

Version

v1.0.0

Updated

Jun 1, 2026

T16 (TX16) is an EEG dataset organized in BIDS format with HED annotations (HED version 8.1.0). It was contributed by Tony Johnson, Stephen Gordon, Jon Touryan, and Kevin King, and is released under a CC0 license. The record is a NEMAR mirror of the OpenNeuro deposit ds004843.

Participants

14

Channels

64 (10-10)

HED

v8.1.0

Size

7.66 GB

Version

v1.0.0

Updated

Jun 25, 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

…Derivatives The processed data for HFO detection and classification are shown in…

Participants

185

Citations

17

Size

165 GB

Version

v1.0.0

Updated

Jun 26, 2026

…Challenge 2018 on automatic arousal detection. - Training set: 994 subjects (with expert…

Participants

1983

Channels

6 (other)

Citations

91

Size

401 GB

Version

v1.1.0

Updated

Jun 3, 2026

…ROAMM provides a benchmark dataset for MW detection and EEG-to-text…

Participants

1

Channels

64 (10-10)

Size

46.6 GB

Version

v1.0.0

Updated

Jun 30, 2026

THINGS-EEG2 is a large EEG dataset from 10 participants who viewed 16,540 training images and 200 repeatedly presented test images from the THINGS database. Images were shown in rapid serial visual presentation at 5 Hz while 63-channel EEG was recorded at 1000 Hz across four sessions per subject. The dataset supports modeling of human visual object recognition and includes resting-state recordings, the authors' preprocessed epochs, and stimulus images.

Participants

10

Channels

63 (10-10)

Citations

88

Size

241 GB

Version

v1.1.0

Updated

Jul 5, 2026