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 |
|---|---|---|---|---|---|---|---|---|
ds007445 | Thalamocortical ictal iEEG dataset | openneuro | https://openneuro.org/datasets/ds007445 | 10.18112/openneuro.ds007445.v1.0.2 | CC0 | {
"library": "eegdash",
"class": "EEGDashDataset",
"kwargs": {
"dataset": "ds007445"
}
} | https://huggingface.co/spaces/EEGDash/catalog | huggingface-space/scripts/push_metadata_stubs.py |
Thalamocortical ictal iEEG dataset
Dataset ID: ds007445
Panchavati2026
At a glance: IEEG · Other clinical/intervention · epilepsy · 19 subjects · 66 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="ds007445", 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/ds007445")
Dataset metadata
| Subjects | 19 |
| Recordings | 66 |
| Tasks (count) | 1 |
| Channels | 140 (×10), 138 (×10), 83 (×6), 265 (×6), 202 (×5), 216 (×5), 162 (×4), 203 (×3), 112 (×3), 68 (×2), 49 (×2), 81 (×2), 263 (×1), 120 (×1), 201 (×1), 139 (×1), 111 (×1), 124 (×1), 261 (×1), 137 (×1) |
| Sampling rate (Hz) | 200 (×42), 2000 (×17), 200.00000000000003 (×6), 1999.9999999999998 (×1) |
| Total duration (h) | 73.7 |
| Size on disk | 50.5 GB |
| Recording type | IEEG |
| Experimental modality | Other |
| Paradigm type | Clinical/Intervention |
| Population | Epilepsy |
| Source | openneuro |
| License | CC0 |
Links
- DOI: 10.18112/openneuro.ds007445.v1.0.2
- OpenNeuro: ds007445
- 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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