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This dataset provides bimodal EEG and fMRI recordings acquired non-simultaneously during an inner-speech production task. Four healthy, right-handed participants silently produced eight words drawn from two semantic categories (social and numerical) across multiple trials. The dataset aims to support the development of speech prostheses and brain-computer interfaces by enabling multimodal fusion of high temporal (EEG) and high spatial (fMRI) resolution neuroimaging data.

Participants

4

Channels

64 (10-10)

Citations

27

Size

9.33 GB

Version

v1.0.0

Updated

Aug 19, 2026

…Tasks included in Java programming language. Its pretty fun... Each task sends…

Participants

17

Channels

65 (10-10)

Citations

20

Size

6.48 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.

Participants

20

Citations

2

Size

18.9 GB

Version

v1.0.0

Updated

Jul 10, 2026

…Task included in Matlab programming language. Data collected circa 2012-2013 in…

Participants

27

Channels

64 (10-10)

Citations

2

Size

8.96 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises high-density EEG recordings from 30 healthy, right-handed, native Chinese-speaking adults performing imagined and executed vocalization and writing tasks involving four Chinese strokes and four English letters. The factorial design crossed task mode, action, script and token identity, yielding 32 event-coded conditions across 15,360 task events. The dataset supports research into motor imagery, speech and handwriting-related neural communication signals.

Participants

30

Channels

124 (10-05)

Size

181 GB

Version

v1.0.0

Updated

Sep 8, 2026

…Task included in Matlab programming language. Data collected circa 2015 in Cognitive…

Participants

56

Channels

67 (10-10)

Citations

2

Size

16.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

…Task included in Matlab programming language. Data collected 2016-2018 in the…

Participants

91

Channels

65 (10-10)

Citations

25

Size

56.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

…Task included in Matlab programming language. Data collected 2016-2018 in the…

Participants

91

Channels

65 (10-10)

Size

37.5 GB

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

…Baseline correction using first 100 ms. ## Signal Processing - **Classifiers**: RLDA, Regularized Linear…

Participants

15

Channels

59 (10-10)

Citations

81

HED

v8.4.0

Size

14.2 GB

Version

v1.0.2

Updated

Aug 18, 2026