EEGDash/ds005007

Auditory naming task with questions that begin or end with a wh-interrogative

Dataset ID: ds005007

Kitazawa2024

Canonical aliases: Kitazawa2025

At a glance: IEEG · Auditory other · healthy · 40 subjects · 42 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="ds005007", 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 Kitazawa2025
ds = Kitazawa2025(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/ds005007")

Dataset metadata

Subjects	40
Recordings	42
Tasks (count)	1
Channels	100 (×3), 74 (×2), 78 (×2), 156 (×2), 86 (×2), 58 (×2), 66 (×2), 116 (×2), 82 (×2), 122 (×1), 127 (×1), 155 (×1), 68 (×1), 94 (×1), 128 (×1), 140 (×1), 154 (×1), 138 (×1), 142 (×1), 91 (×1), 72 (×1), 102 (×1), 124 (×1), 137 (×1), 51 (×1), 120 (×1), 163 (×1), 48 (×1), 114 (×1), 129 (×1), 184 (×1), 88 (×1)
Sampling rate (Hz)	1000 (×42)
Total duration (h)	9.4
Size on disk	8.3 GB
Recording type	IEEG
Experimental modality	Auditory
Paradigm type	Other
Population	Healthy
Source	openneuro
License	CC0
NEMAR citations	0.0

Links

• DOI: 10.18112/openneuro.ds005007.v1.0.0
• OpenNeuro: ds005007
• 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.