Datasets:

EEGDash
/

ds005207

pretty_name: Surrey cEEGrid sleep data set
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
size_categories:
  - n<1K
task_categories:
  - other

Surrey cEEGrid sleep data set

Dataset ID: ds005207

Mikkelsen2024_Surrey_cEEGrid_sleep

Canonical aliases: Surrey_cEEGrid_sleep

At a glance: EEG · 20 subjects · 39 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="ds005207", 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 Surrey_cEEGrid_sleep
ds = Surrey_cEEGrid_sleep(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/ds005207")

Dataset metadata


Subjects	20
Recordings	39
Tasks (count)	1
Channels	13 (×8), 24 (×6), 20 (×5), 11 (×5), 27 (×4), 18 (×3), 21 (×3), 15 (×2), 23 (×2), 22 (×1)
Sampling rate (Hz)	128 (×20), 250 (×19)
Total duration (h)	422.6
Size on disk	28.5 GB
Recording type	EEG
Source	openneuro
License	CC0
NEMAR citations	0.0

Surrey cEEGrid sleep data set

Load this dataset

Dataset metadata

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