Datasets:

ds006914 / README.md
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Metadata stub for ds006914
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metadata
pretty_name: Visual Naming EC
license: cc0-1.0
tags:
  - ieeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - visual
  - other
  - epilepsy
size_categories:
  - n<1K
task_categories:
  - other

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


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.