Datasets:

EEGDash
/

ds006468

pretty_name: >-
  MEG-SCANS - A comprehensive magnetoencephalography speech dataset with
  Stories, Chirps And Noisy Sentences.
license: cc0-1.0
tags:
  - meg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - auditory
  - perception
size_categories:
  - n<1K
task_categories:
  - other

MEG-SCANS - A comprehensive magnetoencephalography speech dataset with Stories, Chirps And Noisy Sentences.

Dataset ID: ds006468

Habersetzer2025

Canonical aliases: MEG_SCANS

At a glance: MEG · Auditory perception · healthy · 24 subjects · 189 recordings · CC0

Load this dataset

This repo is a pointer. The raw EEG data lives at its canonical source (OpenNeuro / NEMAR); EEGDash streams it on demand and returns a PyTorch / braindecode dataset.

# pip install eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds006468", cache_dir="./cache")
print(len(ds), "recordings")

You can also load it by canonical alias — these are registered classes in eegdash.dataset:

from eegdash.dataset import MEG_SCANS
ds = MEG_SCANS(cache_dir="./cache")

If the dataset has been mirrored to the HF Hub in braindecode's Zarr layout, you can also pull it directly:

from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds006468")

Dataset metadata


Subjects	24
Recordings	189
Tasks (count)	4
Channels	341 (×153), 347 (×7), 372 (×5)
Sampling rate (Hz)	1000 (×165)
Total duration (h)	21.7
Size on disk	101.2 GB
Recording type	MEG
Experimental modality	Auditory
Paradigm type	Perception
Population	Healthy
Source	openneuro
License	CC0

MEG-SCANS - A comprehensive magnetoencephalography speech dataset with Stories, Chirps And Noisy Sentences.

Load this dataset

Dataset metadata

Links