metadata
pretty_name: TSS_iEEG
license: cc0-1.0
tags:
- ieeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- other
- clinical-intervention
- surgery
size_categories:
- n<1K
task_categories:
- other
TSS_iEEG
Dataset ID: ds006065
Kragel2025
At a glance: IEEG · Other clinical/intervention · surgery · 7 subjects · 45 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="ds006065", 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/ds006065")
Dataset metadata
| Subjects | 7 |
| Recordings | 45 |
| Tasks (count) | 10 |
| Channels | 168 (×15), 175 (×10), 82 (×5), 68 (×5), 181 (×5), 43 (×5) |
| Sampling rate (Hz) | 500 (×45) |
| Total duration (h) | 10.7 |
| Size on disk | 9.6 GB |
| Recording type | IEEG |
| Experimental modality | Other |
| Paradigm type | Clinical/Intervention |
| Population | Surgery |
| Source | openneuro |
| License | CC0 |
Links
- DOI: 10.18112/openneuro.ds006065.v1.0.0
- OpenNeuro: ds006065
- 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.