dataset_id stringclasses 1
value | title stringclasses 1
value | source stringclasses 1
value | source_url stringclasses 1
value | doi stringclasses 1
value | license stringclasses 1
value | loader dict | catalog stringclasses 1
value | generated_by stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|
ds003498 | interictal iEEG during slow-wave sleep with HFO markings | openneuro | https://openneuro.org/datasets/ds003498 | 10.18112/openneuro.ds003498.v1.0.1 | CC0 | {
"library": "eegdash",
"class": "EEGDashDataset",
"kwargs": {
"dataset": "ds003498"
}
} | https://huggingface.co/spaces/EEGDash/catalog | huggingface-space/scripts/push_metadata_stubs.py |
interictal iEEG during slow-wave sleep with HFO markings
Dataset ID: ds003498
Fedele2021
At a glance: IEEG · Resting State clinical/intervention · epilepsy · 20 subjects · 385 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="ds003498", 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/ds003498")
Dataset metadata
| Subjects | 20 |
| Recordings | 385 |
| Channels | 64 (×146), 40 (×73), 42 (×43), 74 (×35), 16 (×29), 50 (×28), 52 (×13), 48 (×13), 30 (×5) |
| Sampling rate (Hz) | 2000 (×385) |
| Total duration (h) | 32.3 |
| Size on disk | 44.7 GB |
| Recording type | IEEG |
| Experimental modality | Resting State |
| Paradigm type | Clinical/Intervention |
| Population | Epilepsy |
| Source | openneuro |
| License | CC0 |
| NEMAR citations | 3.0 |
Links
- DOI: 10.18112/openneuro.ds003498.v1.0.1
- OpenNeuro: ds003498
- 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.
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