Discover datasets

This dataset contains raw and processed EEG recordings from participants performing silent visual reading of naturalistic narrative stories, investigating auditory representations of words during silent reading. Data include BrainVision-format EEG recordings organized according to BIDS, along with derivative processed EEG signals, metadata linking sessions to stories and runs, and word-level feature embeddings.

Participants

10

Channels

63 (10-10)

Size

35.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

…TASK Participants passively listened to 30-45s passages of conversational speech and…

Participants

10

Size

13.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

Brain Treebank is a large-scale intracranial EEG dataset comprising 43 hours of iEEG recordings from 10 epilepsy patients watching naturalistic Hollywood movies, with 1,688 electrodes sampled at 2048 Hz. The dataset includes time-aligned linguistic annotations with word-level transcripts and Universal Dependencies syntax trees, providing a unique resource for studying neural language processing during naturalistic stimulation.

Participants

10

Size

508 GB

Version

v1.0.0

Updated

Jul 10, 2026

…set to the mean f0s used for the speech The code for…

Participants

15

Channels

2

Citations

11

Size

19.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

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

…Bilingual sEEG Speech Dataset ============================================= Overview -------- Intracranial EEG (sEEG) recordings from 2 epilepsy…

Participants

2

Size

1.87 GB

Version

v1.0.0

Updated

Jul 10, 2026

…https://github.com/maddoxlab/Music_vs_Speech_abr ## Format This dataset is…

Participants

22

Channels

34 (10-10)

Citations

21

Size

213 GB

Version

v1.0.0

Updated

Jul 10, 2026

…dataset is a Chinese imagined speech dataset with five participants, identified as…

Participants

5

Size

262 GB

Version

v1.0.0

Updated

Aug 19, 2026

THINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.

Participants

10

Channels

63 (10-10)

Citations

82

Size

198 GB

Version

v1.1.0

Updated

Jul 10, 2026

This dataset contains simultaneous EEG and MEG recordings from twenty adult participants presented with harmonic complex sound (HCS) stimuli varying in frequency, in an auditory oddball paradigm. The study investigates pre-attentive pitch processing at both sensor and source levels, comparing EEG and MEG responses. Data acquisition was conducted at the MEG Centre, Timone Hospital, Marseille, France.

Participants

19

Citations

1

Size

11.2 GB

Version

v1.0.0

Updated

Aug 19, 2026