README.md

metadata

pretty_name: An EEG dataset recorded during affective music listening
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
size_categories:
  - n<1K
task_categories:
  - other

An EEG dataset recorded during affective music listening

Dataset ID: ds002721

Daly2020_recorded_affective

At a glance: EEG · 31 subjects · 185 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="ds002721", 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/ds002721")

Dataset metadata

Subjects	31
Recordings	185
Channels	19 (×185)
Sampling rate (Hz)	1000 (×185)
Total duration (h)	26.3
Size on disk	3.4 GB
Recording type	EEG
Source	openneuro
License	CC0
NEMAR citations	10.0

Links

• DOI: 10.18112/openneuro.ds002721.v1.0.2
• OpenNeuro: ds002721
• 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.