EEGDash/ds006136

OWM-Dataset

Dataset ID: ds006136

Omelyusik2025

Canonical aliases: Omelyusik2026

At a glance: IEEG · Visual memory · epilepsy · 13 subjects · 14 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="ds006136", 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 Omelyusik2026
ds = Omelyusik2026(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/ds006136")

Dataset metadata

Subjects	13
Recordings	14
Tasks (count)	1
Channels	8 (×2), 7 (×2), 9 (×2), 12 (×2), 18 (×1), 6 (×1), 14 (×1), 17 (×1), 5 (×1), 11 (×1)
Sampling rate (Hz)	1000 (×14)
Total duration (h)	25.3
Size on disk	285.9 MB
Recording type	IEEG
Experimental modality	Visual
Paradigm type	Memory
Population	Epilepsy
Source	openneuro
License	CC0

Links

• DOI: 10.18112/openneuro.ds006136.v1.0.1
• OpenNeuro: ds006136
• Browse 700+ datasets: EEGDash catalog
• Docs: https://eegdash.org
• Code: https://github.com/eegdash/EEGDash

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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.