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ds006366 / README.md
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Metadata stub for ds006366
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metadata
pretty_name: Mouse Sleep Staging Validation dataset (MSSV)
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - sleep
size_categories:
  - n<1K
task_categories:
  - other

Mouse Sleep Staging Validation dataset (MSSV)

Dataset ID: ds006366

Rose2025

Canonical aliases: MSSV

At a glance: EEG · Sleep sleep · healthy · 92 subjects · 148 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="ds006366", 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 MSSV
ds = MSSV(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/ds006366")

Dataset metadata

Subjects 92
Recordings 148
Tasks (count) 1
Channels 3 (×71), 2 (×43), 5 (×34)
Sampling rate (Hz) 128 (×148)
Total duration (h) 2,163.3
Size on disk 6.1 GB
Recording type EEG
Experimental modality Sleep
Paradigm type Sleep
Population Healthy
Source openneuro
License CC0

Links


Auto-generated from dataset_summary.csv and the EEGDash API. Do not edit this file by hand — update the upstream source and re-run scripts/push_metadata_stubs.py.