Datasets:

EEGDash
/

ds005420

pretty_name: >-
  Resting state EEG with closed eyes and open eyes in females from 60 to 80
  years old
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - resting-state
size_categories:
  - n<1K
task_categories:
  - other

Resting state EEG with closed eyes and open eyes in females from 60 to 80 years old

Dataset ID: ds005420

Gama2024

Canonical aliases: Gama2019

At a glance: EEG · Resting State resting-state · healthy · 37 subjects · 72 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="ds005420", 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 Gama2019
ds = Gama2019(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/ds005420")

Dataset metadata


Subjects	37
Recordings	72
Tasks (count)	2
Channels	20 (×72)
Sampling rate (Hz)	500 (×72)
Total duration (h)	5.4
Size on disk	372.1 MB
Recording type	EEG
Experimental modality	Resting State
Paradigm type	Resting-state
Population	Healthy
Source	openneuro
License	CC0
NEMAR citations	0.0

Resting state EEG with closed eyes and open eyes in females from 60 to 80 years old

Load this dataset

Dataset metadata

Links