EEGDash/ds005624

Color Change Detection Task

Dataset ID: ds005624

DS5624_ColorChangeDetection

At a glance: IEEG · Visual memory · unknown · 24 subjects · 35 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="ds005624", cache_dir="./cache")
print(len(ds), "recordings")

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/ds005624")

Dataset metadata

Subjects	24
Recordings	35
Tasks (count)	1
Channels	74 (×4), 223 (×3), 172 (×3), 95 (×2), 162 (×2), 111 (×2), 152 (×2), 115 (×2), 151 (×2), 100 (×2), 205 (×1), 189 (×1), 191 (×1), 228 (×1), 173 (×1), 101 (×1), 118 (×1), 127 (×1), 128 (×1), 123 (×1), 166 (×1)
Sampling rate (Hz)	512 (×26), 1024 (×9)
Total duration (h)	11.4
Size on disk	13.8 GB
Recording type	IEEG
Experimental modality	Visual
Paradigm type	Memory
Population	Unknown
Source	openneuro
License	CC0
NEMAR citations	0.0

Links

• DOI: 10.18112/openneuro.ds005624.v1.0.0
• OpenNeuro: ds005624
• 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.