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 |
|---|---|---|---|---|---|---|---|---|
ds006914 | Visual Naming EC | openneuro | https://openneuro.org/datasets/ds006914 | 10.18112/openneuro.ds006914.v1.0.3 | CC0 | {
"library": "eegdash",
"class": "EEGDashDataset",
"kwargs": {
"dataset": "ds006914"
}
} | https://huggingface.co/spaces/EEGDash/catalog | huggingface-space/scripts/push_metadata_stubs.py |
Visual Naming EC
Dataset ID: ds006914
Kochi2025_Visual_Naming_EC
At a glance: IEEG · Visual other · epilepsy · 110 subjects · 353 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="ds006914", 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/ds006914")
Dataset metadata
| Subjects | 110 |
| Recordings | 353 |
| Tasks (count) | 1 |
| Channels | 128 (×245), 136 (×19), 138 (×19), 140 (×8), 112 (×6), 110 (×6), 156 (×5), 150 (×5), 164 (×4), 134 (×4), 130 (×4), 148 (×4), 96 (×3), 84 (×3), 160 (×3), 152 (×3), 118 (×3), 144 (×3), 154 (×3), 64 (×2), 58 (×1) |
| Sampling rate (Hz) | 1000 (×353) |
| Total duration (h) | 0.7 |
| Size on disk | 17.5 GB |
| Recording type | IEEG |
| Experimental modality | Visual |
| Paradigm type | Other |
| Population | Epilepsy |
| Source | openneuro |
| License | CC0 |
Links
- DOI: 10.18112/openneuro.ds006914.v1.0.3
- OpenNeuro: ds006914
- 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.
- Downloads last month
- 51