EEGDash/ds004624

Intracranial recordings using BCI2000 and the CorTec BrainInterchange

Dataset ID: ds004624

Mivalt2025

Canonical aliases: Mivalt2024 · BCI2000_Intracranial

At a glance: IEEG · Multisensory clinical/intervention · surgery · 3 subjects · 614 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="ds004624", 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 Mivalt2024
ds = Mivalt2024(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/ds004624")

Dataset metadata

Subjects	3
Recordings	614
Tasks (count)	28
Channels	36 (×363), 34 (×234), 39 (×17)
Sampling rate (Hz)	1000 (×614)
Size on disk	19.3 GB
Recording type	IEEG
Experimental modality	Multisensory
Paradigm type	Clinical/Intervention
Population	Surgery
Source	openneuro
License	CC0
NEMAR citations	0.0

Links

• DOI: 10.18112/openneuro.ds004624.v2.0.0
• OpenNeuro: ds004624
• 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.