metadata
pretty_name: Mood induction in MDD and healthy adolescents
license: cc0-1.0
tags:
- meg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- visual
- affect
size_categories:
- n<1K
task_categories:
- other
Mood induction in MDD and healthy adolescents
Dataset ID: ds003568
Liuzzi2021
At a glance: MEG · Visual affect · healthy · 51 subjects · 118 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="ds003568", 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/ds003568")
Dataset metadata
| Subjects | 51 |
| Recordings | 118 |
| Tasks (count) | 2 |
| Channels | 340 (×48), 339 (×29), 335 (×11), 336 (×6), 342 (×5), 343 (×5), 309 (×3), 338 (×3), 312 (×3), 305 (×2), 348 (×1), 310 (×1), 313 (×1) |
| Sampling rate (Hz) | 1200 (×118) |
| Total duration (h) | 22.5 |
| Size on disk | 123.4 GB |
| Recording type | MEG |
| Experimental modality | Visual |
| Paradigm type | Affect |
| Population | Healthy |
| Source | openneuro |
| License | CC0 |
| NEMAR citations | 4.0 |
Links
- DOI: 10.18112/openneuro.ds003568.v1.0.2
- OpenNeuro: ds003568
- 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.