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 |
|---|---|---|---|---|---|---|---|---|
ds007120 | iEEG_comprehensive_HFA_model_part2 | openneuro | https://openneuro.org/datasets/ds007120 | 10.18112/openneuro.ds007120.v1.0.0 | CC0 | {
"library": "eegdash",
"class": "EEGDashDataset",
"kwargs": {
"dataset": "ds007120"
}
} | https://huggingface.co/spaces/EEGDash/catalog | huggingface-space/scripts/push_metadata_stubs.py |
iEEG_comprehensive_HFA_model_part2
Dataset ID: ds007120
Hatano2025_part2
At a glance: IEEG · Sleep sleep · epilepsy · 65 subjects · 70 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="ds007120", 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/ds007120")
Dataset metadata
| Subjects | 65 |
| Recordings | 70 |
| Tasks (count) | 1 |
| Channels | 128 (×13), 112 (×10), 104 (×5), 132 (×4), 110 (×4), 118 (×3), 138 (×2), 150 (×2), 56 (×2), 126 (×2), 120 (×2), 108 (×2), 130 (×2), 140 (×2), 106 (×2), 100 (×2), 34 (×1), 144 (×1), 156 (×1), 116 (×1), 122 (×1), 136 (×1), 84 (×1), 134 (×1), 124 (×1), 98 (×1), 164 (×1) |
| Sampling rate (Hz) | 1000 (×70) |
| Total duration (h) | 41.9 |
| Size on disk | 33.0 GB |
| Recording type | IEEG |
| Experimental modality | Sleep |
| Paradigm type | Sleep |
| Population | Epilepsy |
| Source | openneuro |
| License | CC0 |
Links
- DOI: 10.18112/openneuro.ds007120.v1.0.0
- OpenNeuro: ds007120
- 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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