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An auditory brain-computer interface dataset implementing the AMUSE (Auditory Multi-class Spatial ERP) paradigm for spelling applications. The dataset comprises EEG recordings from 10 healthy subjects performing an auditory oddball task with spatial cues from six speaker locations, achieving online spelling performance of up to 1.41 characters per minute. Data includes preprocessed EEG signals with P300 and N200 event-related potentials, suitable for BCI research and benchmarking.

Participants

10

Channels

8 (10-10)

Citations

81

HED

v8.4.0

Size

74.4 MB

Version

v1.0.3

Updated

Aug 18, 2026

…analyzed=[5.0, 35.0] Hz; alpha=[8.0, 13.0] Hz…

Participants

87

Channels

27 (10-10)

Citations

38

HED

v8.4.0

Size

15.8 GB

Version

v1.0.4

Updated

Aug 18, 2026

This dataset comprises EEG recordings from 139 subjects (94 individuals with Parkinson's disease and 45 controls) performing an Interval Timing task. EEG data were collected with a 64-channel BrainVision system while participants judged short (3-second) and long (7-second) time intervals following visual cues. The dataset is intended to support research into timing perception and its neural correlates in Parkinson's disease.

Participants

139

Channels

63 (10-10)

Citations

9

Size

24.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

BIDS-EMG dataset - HDsEMG recordings of tibialis anterior and vastus lateralis during isometric contractions at 10-80% MVC, 16 subjects, 256-channel grids (MUniverse benchmark)

Participants

16

Size

5.51 GB

Version

v1.0.1

Updated

Jul 10, 2026

…4.0, 8.0] Hz; alpha=[10.5, 13.0] Hz - **Spatial…

Participants

13

Channels

64 (10-10)

Citations

26

HED

v8.4.0

Size

9.42 GB

Version

v1.0.2

Updated

Aug 18, 2026

…Window Filter Bank) - **Frequency bands**: alpha=[8.0, 15.0] Hz; beta…

Participants

50

Channels

29 (10-10)

Citations

78

HED

v8.4.0

Size

1.15 GB

Version

v1.0.3

Updated

Aug 18, 2026

A 256-channel EEG dataset from 11 healthy subjects performing a steady-state visually evoked potential (SSVEP) brain-computer interface task. Subjects focused attention on flickering visual stimuli at five different frequencies (6.66, 7.50, 8.57, 10.00, 12.00 Hz) to select commands. The dataset includes 1,104 trials acquired at 250 Hz sampling rate and was used to systematically evaluate state-of-the-art signal processing algorithms for SSVEP-based BCIs, achieving 74.42% mean accuracy with optimized configurations.

Participants

11

Channels

256 (egi-geodesic)

Citations

38

HED

v8.4.0

Size

9.72 GB

Version

v1.0.2

Updated

Aug 18, 2026

…Calibration, CopyPhrase - Stimulus alphabet: A–Z, backspace ("<"), and space ("_"), for 28 selectable…

Participants

5

Channels

7 (10-10)

Size

2.17 GB

Version

v1.0.0

Updated

Jul 22, 2026

Imported from OpenNeuro ds004854

Participants

1

Channels

64 (10-10)

Citations

3

HED

v8.1.0

Size

78.9 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from twenty-one participants performing a continuous feedback learning task in which they predicted the final height of an animated rising bar following different predictive cues. The task manipulated outcome predictability (highly predictable, somewhat predictable, unpredictable) using cued gnome stimuli, allowing investigation of neural correlates of continuous feedback and reward prediction processing.

Participants

21

Channels

31 (10-10)

Size

3.48 GB

Version

v1.0.0

Updated

Aug 19, 2026