metadata
pretty_name: Placebo Neuroepo multisession
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
size_categories:
- n<1K
task_categories:
- other
Placebo Neuroepo multisession
Dataset ID: ds003195
Vega2020_Placebo
At a glance: EEG · 10 subjects · 20 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="ds003195", 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/ds003195")
Dataset metadata
| Subjects | 10 |
| Recordings | 20 |
| Tasks (count) | 2 |
| Channels | 19 (×20) |
| Sampling rate (Hz) | 200 (×20) |
| Total duration (h) | 4.7 |
| Size on disk | 121.1 MB |
| Recording type | EEG |
| Source | openneuro |
| License | CC0 |
| NEMAR citations | 3.0 |
Links
- DOI: 10.18112/openneuro.ds003195.v1.0.3
- OpenNeuro: ds003195
- 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.