metadata
pretty_name: OWM-Dataset
license: cc0-1.0
tags:
- ieeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- visual
- memory
- epilepsy
size_categories:
- n<1K
task_categories:
- other
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
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.