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Auditory Gamma Entrainment
Dataset ID: ds003800
Lahijanian2021_Auditory
At a glance: EEG · Auditory clinical/intervention · dementia · 13 subjects · 24 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="ds003800", 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/ds003800")
Dataset metadata
| Subjects | 13 |
| Recordings | 24 |
| Tasks (count) | 2 |
| Channels | 19 (×24) |
| Sampling rate (Hz) | 250 (×24) |
| Total duration (h) | 1.4 |
| Size on disk | 189.3 MB |
| Recording type | EEG |
| Experimental modality | Auditory |
| Paradigm type | Clinical/Intervention |
| Population | Dementia |
| Source | openneuro |
| License | CC0 |
| NEMAR citations | 4.0 |
Links
- DOI: 10.18112/openneuro.ds003800.v1.0.0
- OpenNeuro: ds003800
- 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.
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