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 |
|---|---|---|---|---|---|---|---|---|
ds003876 | Epilepsy-iEEG-Interictal-Multicenter-Dataset | openneuro | https://openneuro.org/datasets/ds003876 | 10.18112/openneuro.ds003876.v1.0.2 | CC0 | {
"library": "eegdash",
"class": "EEGDashDataset",
"kwargs": {
"dataset": "ds003876"
}
} | https://huggingface.co/spaces/EEGDash/catalog | huggingface-space/scripts/push_metadata_stubs.py |
Epilepsy-iEEG-Interictal-Multicenter-Dataset
Dataset ID: ds003876
Gunnarsdottir2021
At a glance: IEEG · Resting State clinical/intervention · epilepsy · 39 subjects · 54 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="ds003876", 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/ds003876")
Dataset metadata
| Subjects | 39 |
| Recordings | 54 |
| Tasks (count) | 3 |
| Channels | 128 (×10), 129 (×8), 86 (×4), 135 (×4), 98 (×4), 111 (×2), 101 (×2), 47 (×2), 110 (×2), 182 (×1), 118 (×1), 114 (×1), 170 (×1), 168 (×1), 95 (×1), 146 (×1), 121 (×1), 107 (×1), 46 (×1), 186 (×1), 125 (×1), 134 (×1), 193 (×1), 190 (×1), 147 (×1) |
| Sampling rate (Hz) | 1000 (×25), 2000 (×7), 999.4121105232217 (×6), 1024 (×5), 999.9999999999999 (×4), 499.7071044492829 (×2), 1024.5997950800408 (×2), 500 (×2), 512 (×1) |
| Total duration (h) | 5.8 |
| Size on disk | 5.0 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.ds003876.v1.0.2
- OpenNeuro: ds003876
- 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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