Discover datasets

MorseEEG-ATP is a multitask EEG dataset for investigating auditory temporal processing and temporal pattern discrimination using Morse code stimuli. It contains synchronously recorded EEG and behavioral data from 32 healthy adults performing two auditory discrimination tasks (dot-count and first-last match) across three presentation-rate conditions (15, 30, and 40 characters per minute). The dataset, organized in BIDS format, includes raw and minimally preprocessed EEG data, trial-aligned event annotations, behavioral measures, and analysis scripts to support research on temporal pattern discrimination and listening ability assessment.

Participants

32

Channels

62 (10-10)

Size

14.6 GB

Version

v1.0.0

Updated

Aug 18, 2026

…Their instructed goal was to type the sequence as fast and as…

Participants

31

Citations

3

Size

95.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

BIDS-EMG dataset - HDsEMG recordings of tibialis anterior during isometric contractions at 30% and 50% MVC, 6 subjects, 256-channel grids (MUniverse benchmark)

Participants

6

Size

448 MB

Version

v1.0.1

Updated

Jul 10, 2026

…Each file consists of a video sequence followed by a sleep sequence…

Participants

10

Channels

8 (10-20)

Citations

2

Size

88.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises electroencephalography (EEG) recordings investigating the neural correlates of syntactic structure and lexical properties using frequency tagging methodology. Participants were presented with linguistic stimuli while EEG activity was recorded to identify frequency-specific neural responses associated with different linguistic features. The dataset provides raw neurophysiological data suitable for studying the temporal dynamics of language processing at the neural level.

Participants

34

Citations

1

Size

195 GB

Version

v1.0.0

Updated

Jul 10, 2026

…Visual stimulation with pseudo-random bit-sequences evokes specific Broad-Band Visually…

Participants

12

Channels

64 (10-10)

Citations

72

HED

v8.4.0

Size

11.0 GB

Version

v1.0.3

Updated

Aug 18, 2026

This magnetoencephalography (MEG) dataset comprises human recordings during a sequential conflict task, designed to investigate neural mechanisms of conflict detection and decision-making. The dataset includes recordings from both healthy controls and patients with movement disorders, enabling investigation of cortico-subthalamic interactions and oscillatory dynamics in the beta frequency band during cognitive conflict processing.

Participants

13

Citations

1

Size

58.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

…Trials were grouped into sequences of 14 images. At the end of…

Participants

34

Channels

63 (10-10)

Citations

1

Size

61.2 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains behavioral events and intracranial electrophysiological recordings from a free recall task with repeated word items, collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. Participants studied lists of words presented visually, with items repeated at varying frequencies, and then freely recalled the words after a delay period. The dataset supports investigation of memory encoding and retrieval processes as a function of item repetition.

Participants

48

Size

157 GB

Version

v1.0.0

Updated

Aug 19, 2026

A 256-channel EEG dataset from 11 healthy subjects performing a steady-state visually evoked potential (SSVEP) brain-computer interface task. Subjects attended to flickering visual stimuli at five frequencies (6.66, 7.50, 8.57, 10.00, and 12.00 Hz) presented sequentially, with 1104 total trials recorded at 250 Hz sampling rate. This dataset was used for comparative evaluation of state-of-the-art signal processing algorithms and classification methods for SSVEP-based BCIs.

Participants

11

Channels

256 (egi-geodesic)

Citations

40

HED

v8.4.0

Size

11.4 GB

Version

v1.0.2

Updated

Aug 16, 2026