Datasets:

EEGDash
/

ds005516

pretty_name: Healthy Brain Network (HBN) EEG - Release 11
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 11

Dataset ID: ds005516

Shirazi2024_R11

Canonical aliases: HBN_r11

At a glance: EEG · Visual clinical/intervention · development · 430 subjects · 3397 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="ds005516", 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_r11
ds = HBN_r11(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/ds005516")

Dataset metadata


Subjects	430
Recordings	3397
Tasks (count)	8
Channels	129 (×3397)
Sampling rate (Hz)	500 (×3397)
Total duration (h)	250.5
Size on disk	219.2 GB
Recording type	EEG
Experimental modality	Visual
Paradigm type	Clinical/Intervention
Population	Development
Source	openneuro
License	CC-BY-SA 4.0

Healthy Brain Network (HBN) EEG - Release 11

Load this dataset

Dataset metadata

Links