EEGDash/ds006545

Reliability-Dubois2024

Dataset ID: ds006545

ReliabilityDubois2024

Canonical aliases: Dubois2024

At a glance: FNIRS · Auditory unknown · unknown · 49 subjects · 98 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="ds006545", 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 Dubois2024
ds = Dubois2024(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/ds006545")

Dataset metadata

Subjects	49
Recordings	98
Tasks (count)	1
Channels	6180 (×2), 6498 (×2), 8340 (×2), 3678 (×2), 6708 (×2), 12180 (×2), 6990 (×1), 6696 (×1), 5400 (×1), 6282 (×1), 4614 (×1), 6432 (×1), 11682 (×1), 4170 (×1), 9558 (×1), 5640 (×1), 7890 (×1), 4752 (×1), 7794 (×1), 5076 (×1), 12300 (×1), 5676 (×1), 3552 (×1), 12738 (×1), 8730 (×1), 9012 (×1), 5280 (×1), 14520 (×1), 7524 (×1), 16266 (×1), 14592 (×1), 15288 (×1), 9966 (×1), 8874 (×1), 11094 (×1), 5568 (×1), 9276 (×1), 3630 (×1), 13014 (×1), 7932 (×1), 3570 (×1), 4278 (×1), 5256 (×1), 7464 (×1), 6060 (×1), 11142 (×1), 6126 (×1), 12468 (×1), 4194 (×1), 16086 (×1), 6768 (×1), 6744 (×1), 15354 (×1), 5190 (×1), 10224 (×1), 6930 (×1), 14820 (×1), 5862 (×1), 13494 (×1), 8250 (×1), 4866 (×1), 5130 (×1), 4986 (×1), 7332 (×1), 4626 (×1), 3792 (×1), 10458 (×1), 4530 (×1), 6522 (×1), 14142 (×1), 8646 (×1), 4062 (×1), 4122 (×1), 8082 (×1), 4734 (×1), 7596 (×1), 16122 (×1), 7044 (×1), 16464 (×1), 5766 (×1), 8832 (×1), 4116 (×1), 4098 (×1), 8592 (×1), 3900 (×1), 4764 (×1), 5082 (×1), 7800 (×1), 4308 (×1), 9180 (×1), 10254 (×1), 9426 (×1)
Sampling rate (Hz)	3.7593757537230927 (×1), 3.759380549030849 (×1), 3.759383854917815 (×1), 3.7593844649490076 (×1), 3.7593369412842033 (×1), 3.759382548055328 (×1), 3.759381637968117 (×1), 3.7593335689320417 (×1), 3.7593809119130897 (×1), 3.7593790288058946 (×1), 3.7593368622422507 (×1), 3.759384668748248 (×1), 3.75938652671013 (×1), 3.759327715365909 (×1), 3.759378131656764 (×1), 3.7593917495093443 (×1), 3.759335491657337 (×1), 3.7593770035234657 (×1), 3.759381147438357 (×1), 3.759382410127993 (×1), 3.7593847313363185 (×1), 3.759326944731349 (×1), 3.7593764115478234 (×1), 3.7593815029752466 (×1), 3.759380476653631 (×1), 3.7593798802765264 (×1), 3.7593841548655034 (×1), 3.7593343198689566 (×1), 3.7593316689597076 (×1), 3.75938158151899 (×1), 3.7593827348988054 (×1), 3.759335334223433 (×1), 3.7593859458888867 (×1), 3.7593821349246923 (×1), 3.7593764941046097 (×1), 3.7593750038748928 (×1), 3.759382593611545 (×1), 3.7593818001216643 (×1), 3.759380541825277 (×1), 3.759340320968606 (×1), 3.759327770404511 (×1), 3.7593764966001504 (×1), 3.759382926882352 (×1), 3.759380897280349 (×1), 3.759385538565235 (×1), 3.759336320191231 (×1), 3.759384688523407 (×1), 3.7593320784412283 (×1), 3.7593804486200146 (×1), 3.759336916674929 (×1), 3.759376802130892 (×1), 3.7593834552836913 (×1), 3.7593794232712234 (×1), 3.7593266384012547 (×1), 3.7593813477897906 (×1), 3.759383655551909 (×1), 3.7593783750690566 (×1), 3.759379675664703 (×1), 3.7593859613989697 (×1), 3.7593797563033773 (×1), 3.759332720066484 (×1), 3.7593852258423093 (×1), 3.759381014194889 (×1), 3.7593815330436198 (×1), 3.7593816783733027 (×1), 3.759377394526281 (×1), 3.7593787725752463 (×1), 3.759384908721897 (×1), 3.7593360211640108 (×1), 3.7593806230201263 (×1), 3.7593790725510097 (×1), 3.7593852959156377 (×1), 3.75933410440123 (×1), 3.7593801964283244 (×1), 3.7593830794615157 (×1), 3.759380220764679 (×1), 3.7593374155646906 (×1), 3.75933672882927 (×1), 3.759382867121934 (×1), 3.7593800192877977 (×1), 3.759381561915346 (×1), 3.7593808053564546 (×1), 3.759384261106816 (×1), 3.759384299582689 (×1), 3.7593826417073126 (×1), 3.759332685108552 (×1), 3.7593841728783493 (×1), 3.7593851070356754 (×1), 3.759331427389511 (×1), 3.7593278601126636 (×1), 3.759384944435528 (×1), 3.7593821400544667 (×1), 3.759377231180893 (×1), 3.7593400623176056 (×1), 3.7593792061899447 (×1), 3.759337444344509 (×1), 3.759389442742258 (×1), 3.7593814407919455 (×1)
Size on disk	46.7 GB
Recording type	FNIRS
Experimental modality	Auditory
Paradigm type	Unknown
Population	Unknown
Source	openneuro
License	CC0

Links

• DOI: 10.18112/openneuro.ds006545.v1.0.0
• OpenNeuro: ds006545
• 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.