metadata
pretty_name: MIND DATA
license: cc0-1.0
tags:
- meg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- multisensory
- other
size_categories:
- n<1K
task_categories:
- other
MIND DATA
Dataset ID: ds004107
Weisend2022
Canonical aliases: Weisend2007
At a glance: MEG · Multisensory other · healthy · 9 subjects · 89 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="ds004107", 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 Weisend2007
ds = Weisend2007(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/ds004107")
Dataset metadata
| Subjects | 9 |
| Recordings | 89 |
| Tasks (count) | 6 |
| Channels | 318 (×84), 317 (×5) |
| Sampling rate (Hz) | 1792.8858642578125 (×57), 1250 (×32) |
| Total duration (h) | 23.1 |
| Size on disk | 77.2 GB |
| Recording type | MEG |
| Experimental modality | Multisensory |
| Paradigm type | Other |
| Population | Healthy |
| Source | openneuro |
| License | CC0 |
| NEMAR citations | 1.0 |
Links
- DOI: 10.18112/openneuro.ds004107.v1.0.0
- OpenNeuro: ds004107
- 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.