Discover datasets

NeuroMorph is a high-temporal resolution MEG dataset designed for morpheme-based linguistic analysis, comprising recordings from 24 subjects totaling over 17 hours of data. Data were collected using a KIT/Yokogawa MEG system to investigate visual language and cognitive processing, with a focus on morphological structure in written language comprehension.

Participants

24

Size

140 GB

Version

v1.0.0

Updated

Aug 19, 2026

…Brain-Computer Interface under Time Constraints. arXiv preprint. 2021. Notes .. versionadded:: 0…

Participants

13

Citations

2

HED

v8.4.0

Size

2.82 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from elderly patients with dementia undergoing 40Hz auditory gamma-band entrainment sessions. The study investigates whether auditory stimulation modulated at 40Hz can entrain brain oscillations and enhance functional connectivity, particularly within the default mode network, as a potential intervention for Alzheimer's disease symptoms. Both short and long entrainment sessions were conducted to accommodate participant tolerance, with EEG data collected using a 19-channel 10/20 system setup.

Participants

35

Channels

19 (10-20)

Citations

32

Size

356 MB

Version

v1.0.0

Updated

Aug 19, 2026

…ended early due to time constraints and only 3 runs were collected…

Participants

24

Channels

31 (10-10)

Citations

1

Size

115 GB

Version

v1.0.0

Updated

Aug 18, 2026

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

VocalMind is a stereotactic EEG (sEEG) dataset comprising intracranial recordings from one participant performing vocalized, mimed, and imagined speech tasks in Mandarin Chinese, a tonal language. The dataset supports research on speech decoding, brain-computer interfaces, and neural mechanisms of overt and covert speech production. Raw recordings sampled at 1000 Hz were converted to BIDS iEEG format with event markers indicating stimulus onsets for each speech modality.

Participants

1

Citations

15

Size

1.89 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset presents a multimodal collection of naturalistic fMRI, structural MRI, and EEG data from 52 healthy older Cantonese-speaking adults (over 65 years) listening to excerpts from 'The Little Prince' in Cantonese. It aims to address the underrepresentation of non-Indo-European languages and older populations in language neurobiology research, providing insights into brain-behavior relationships and healthy aging. The dataset includes rich behavioral, linguistic, and cognitive measures alongside detailed audio and text annotations.

Participants

52

Channels

64

Citations

3

Size

109 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises high-density and sparse functional near-infrared spectroscopy (fNIRS) measurements acquired during a Word-Color Stroop task. The study investigates whether high-density multi-distance fNIRS configurations enhance detection of brain activity compared to conventional sparse probe arrangements. Raw neuroimaging data from multiple participants are provided in BIDS format to support reproducible analysis of cognitive control mechanisms.

Participants

17

Size

169 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains raw EEG recordings from 15 participants who each completed three auditory oddball paradigms within a single experimental session: the Optimum-1 sequence for mismatch negativity (MMN), the learning-oddball sequence for P3b, and the local-global paradigm for assessing local and global auditory novelty effects. The dataset was collected to compare within-individual sensitivity of MMN and P3b responses across these different oddball paradigms. It includes original stimulation triggers, corrected event files, and source stimulation sequence definitions used in the analysis.

Participants

15

Channels

64 (10-10)

Citations

5

Size

16.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

An open-access EEG dataset containing recordings from 15 healthy Spanish-speaking subjects performing imagined speech tasks. The dataset comprises 11 imagery classes (5 Spanish vowels and 6 directional commands) acquired using 6-channel EEG at 1024 Hz with preprocessed data (bandpass filtered 2-45 Hz). This BIDS-reformatted derivative is based on the original data described in Pressel et al. 2016 and supports brain-computer interface research and motor imagery classification studies.

Participants

15

Channels

6 (10-20)

Citations

92

HED

v8.4.0

Size

2.00 GB

Version

v1.0.4

Updated

Aug 18, 2026