metadata
pretty_name: >-
Neocortical and Hippocampal Theta Oscillations Track Audiovisual Integration
and Replay of Speech Memories
license: cc0-1.0
tags:
- meg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- multisensory
- memory
size_categories:
- n<1K
task_categories:
- other
Neocortical and Hippocampal Theta Oscillations Track Audiovisual Integration and Replay of Speech Memories
Dataset ID: ds006334
Biau2025
At a glance: MEG · Multisensory memory · healthy · 30 subjects · 128 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="ds006334", 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/ds006334")
Dataset metadata
| Subjects | 30 |
| Recordings | 128 |
| Tasks (count) | 1 |
| Channels | 331 (×74), 332 (×54) |
| Sampling rate (Hz) | 1000 (×128) |
| Total duration (h) | 36.7 |
| Size on disk | 166.2 GB |
| Recording type | MEG |
| Experimental modality | Multisensory |
| Paradigm type | Memory |
| Population | Healthy |
| Source | openneuro |
| License | CC0 |
Links
- DOI: 10.18112/openneuro.ds006334.v1.0.0
- OpenNeuro: ds006334
- 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.