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MEG-MASC provides raw magnetoencephalography recordings from 27 English speakers who listened to about two hours of naturalistic synthesized stories drawn from the Manually Annotated Sub-Corpus (MASC), intermixed with word lists and comprehension questions. Each participant completed two identical sessions. Word and phoneme onsets and offsets are time-stamped in the BIDS events files, which makes the dataset a benchmark for large-scale encoding and decoding analyses of temporally resolved brain responses to speech.

Participants

27

Citations

60

Size

99.6 GB

Version

v1.0.2

Updated

Nov 8, 2026

Intracranial EEG (iEEG) recordings acquired during an auditory naming task in which participants heard questions that either began or ended with a wh-interrogative word. The dataset is organized in BIDS format and supports investigation of the neural dynamics underlying language processing and naming. It is mirrored on NEMAR from OpenNeuro.

Participants

40

Size

8.29 GB

Version

v1.0.0

Updated

Jun 26, 2026

EEG recordings from 146 participants (98 individuals with Parkinson's disease and 48 controls) performing a Simon conflict task. Stimuli appeared on the left or right side of the screen, and participants responded with a left or right key according to stimulus color. Trials were spatially congruent or incongruent with the response hand. Data were collected alongside other cognitive tasks to study conflict processing and midfrontal activity in Parkinson's disease.

Participants

147

Channels

63 (10-10)

Citations

51

Size

15.8 GB

Version

v1.0.0

Updated

Jun 24, 2026

Raw EEG recordings from 15 participants who each completed three auditory oddball sequences: the Optimum-1 paradigm for mismatch negativity (MMN), a learning-oddball paradigm for P3b, and the local–global paradigm for local and global effects. The dataset supports comparison of within-individual sensitivity of MMN and P3b effects across specialized oddball sequences and the local–global paradigm. Corrected event files, stimulation sequence definitions and stimulus presentation code are included.

Participants

15

Channels

64 (10-10)

Citations

3

Size

16.5 GB

Version

v1.0.0

Updated

Jun 27, 2026

This dataset contains 128-channel EEG recordings acquired while participants produced one of five color words (green, magenta, orange, violet, yellow) under overt, minimally overt, and covert speech conditions. Each trial comprises five repetitions of the same word. Auxiliary channels (EOG, orbicularis oris EMG, microphone, display, trigger) support delineating neural versus non-neural contributions to EEG-based speech decoding. Sessions include calibration data for decoder training and online real-time decoding.

Participants

3

Channels

128 (other)

Citations

2

Size

1.62 GB

Version

v1.0.0

Updated

Jun 30, 2026

MEG-SCANS provides raw and MaxFiltered magnetoencephalography recordings from 24 German-speaking participants who listened to about one hour of auditory stimuli. The stimuli were two audiobooks, 120 Oldenburg Matrix Sentence Test (OLSA) sentences at varying intelligibility levels, and short up-chirps for signal quality assessment. The dataset also includes empty-room recordings, structural MRI, audiograms, speech reception threshold results, and audio stimulus material. It is organized in BIDS and intended as a benchmark for encoding and decoding analyses of brain responses to speech.

Participants

24

Citations

4

Size

204 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset contains 62-channel EEG recordings from 15 healthy participants across two sessions each, collected for passive brain-computer interface research in neuroergonomics. It includes resting-state periods and three difficulty levels (easy, medium, difficult) of the MATB-II multitasking environment, supporting cross-session and cross-subject mental workload estimation. This BIDS version was regenerated through MOABB with corrected sampling-rate handling (250 Hz epochs).

Participants

15

Channels

61 (10-10)

Citations

80

HED

v8.4.0

Size

4.04 GB

Version

v1.1.0

Updated

Oct 14, 2026

VocalMind is a stereotactic EEG (sEEG) dataset for speech decoding research in a tonal language, Mandarin Chinese. Intracranial recordings were acquired during vocalized, mimed, and imagined speech, supporting work on speech brain-computer interfaces and neural decoding of overt and covert speech. This BIDS iEEG conversion currently contains one subject, with a separate task for each speech mode.

Participants

1

Citations

17

Size

1.89 GB

Version

v1.0.1

Updated

Oct 16, 2026

This dataset contains EEG recordings paired with vocal audio recordings from participants performing an overt speech production task, in which they read aloud visually presented text. It was collected to support brain decoding of speech from EEG. The data are organized in BIDS by recording date session and run, and include code for preprocessing, model training, and evaluation, as well as derivative outputs from a standard preprocessing pipeline.

Participants

3

Channels

128 (other)

Citations

6

Size

49.6 GB

Version

v1.0.0

Updated

Jun 30, 2026

This dataset contains 300 single-channel intracranial EEG segments (23.6 s each, 173.61 Hz) from five epilepsy patients undergoing presurgical evaluation at the University of Bonn. It comprises sets C and D (seizure-free interval recordings from the opposite hippocampal formation and the epileptogenic zone) and set E (ictal activity), repackaged losslessly in iEEG-BIDS from the original Andrzejak et al. (2001) release. The segments were originally used to study nonlinear deterministic and finite-dimensional structure in brain electrical activity as a function of recording region and brain state.

Participants

1

Citations

84

Size

5.72 MB

Version

v1.0.2

Updated

Oct 16, 2026