The dataset viewer is not available for this dataset.
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
PRIOS
Dataset ID: ds004370
Blooijs2022_PRIOS
Canonical aliases: PRIOS
At a glance: IEEG · Anesthesia clinical/intervention · surgery · 7 subjects · 15 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="ds004370", 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 PRIOS
ds = PRIOS(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/ds004370")
Dataset metadata
| Subjects | 7 |
| Recordings | 15 |
| Tasks (count) | 2 |
| Channels | 133 (×7), 68 (×6), 64 (×2) |
| Sampling rate (Hz) | 2048 (×15) |
| Total duration (h) | 10.2 |
| Size on disk | 27.6 GB |
| Recording type | IEEG |
| Experimental modality | Anesthesia |
| Paradigm type | Clinical/Intervention |
| Population | Surgery |
| Source | openneuro |
| License | CC0 |
| NEMAR citations | 1.0 |
Links
- DOI: 10.18112/openneuro.ds004370.v1.0.2
- OpenNeuro: ds004370
- 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.
- Downloads last month
- 10