EEGDash/ds004993

WIRED ICM Sample Dataset - Workshop on Intracranial Recordings in Humans, Epilepsy, DBS

Dataset ID: ds004993

Hamilton2024

Canonical aliases: WIRED_ICM

At a glance: IEEG · Auditory perception · epilepsy · 3 subjects · 3 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="ds004993", 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 WIRED_ICM
ds = WIRED_ICM(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/ds004993")

Dataset metadata

Subjects	3
Recordings	3
Tasks (count)	3
Channels	148 (×1), 106 (×1), 160 (×1)
Sampling rate (Hz)	512 (×2), 2048 (×1)
Total duration (h)	0.2
Size on disk	305.1 MB
Recording type	IEEG
Experimental modality	Auditory
Paradigm type	Perception
Population	Epilepsy
Source	openneuro
License	CC0
NEMAR citations	0.0

Links

• DOI: 10.18112/openneuro.ds004993.v1.1.2
• OpenNeuro: ds004993
• 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.