Datasets:

EEGDash
/

ds005507

pretty_name: Healthy Brain Network (HBN) EEG - Release 3
license: cc-by-sa-4.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - visual
  - clinical-intervention
  - development
size_categories:
  - 1K<n<10K
task_categories:
  - other

Healthy Brain Network (HBN) EEG - Release 3

Dataset ID: ds005507

Shirazi2024_R3

Canonical aliases: HBN_r3

At a glance: EEG · Visual clinical/intervention · development · 184 subjects · 1812 recordings · CC-BY-SA 4.0

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="ds005507", 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 HBN_r3
ds = HBN_r3(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/ds005507")

Dataset metadata


Subjects	184
Recordings	1812
Tasks (count)	10
Channels	129 (×1812)
Sampling rate (Hz)	500 (×1812)
Total duration (h)	158.8
Size on disk	139.4 GB
Recording type	EEG
Experimental modality	Visual
Paradigm type	Clinical/Intervention
Population	Development
Source	openneuro
License	CC-BY-SA 4.0
NEMAR citations	1.0

Healthy Brain Network (HBN) EEG - Release 3

Load this dataset

Dataset metadata

Links