metadata
pretty_name: Auditory naming
license: cc0-1.0
tags:
- ieeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- auditory
- other
- surgery
size_categories:
- n<1K
task_categories:
- other
Auditory naming
Dataset ID: ds006234
Kochi2025_Auditory_naming
At a glance: IEEG · Auditory other · surgery · 119 subjects · 378 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="ds006234", 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/ds006234")
Dataset metadata
| Subjects | 119 |
| Recordings | 378 |
| Tasks (count) | 1 |
| Channels | 128 (×269), 138 (×14), 136 (×11), 112 (×9), 140 (×8), 164 (×8), 134 (×7), 110 (×6), 142 (×5), 156 (×5), 150 (×5), 132 (×4), 130 (×4), 148 (×4), 144 (×4), 152 (×3), 118 (×3), 96 (×3), 84 (×3), 64 (×2), 58 (×1) |
| Sampling rate (Hz) | 1000 (×378) |
| Total duration (h) | 128.1 |
| Size on disk | 43.9 GB |
| Recording type | IEEG |
| Experimental modality | Auditory |
| Paradigm type | Other |
| Population | Surgery |
| Source | openneuro |
| License | CC0 |
Links
- DOI: 10.18112/openneuro.ds006234.v1.0.0
- OpenNeuro: ds006234
- 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.