Datasets:

EEGDash
/

ds006107

pretty_name: iEEG_Neural_spatial_volatility
license: cc0-1.0
tags:
  - ieeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - sleep
size_categories:
  - n<1K
task_categories:
  - other

iEEG_Neural_spatial_volatility

Dataset ID: ds006107

Kuroda2025

Canonical aliases: Kuroda2024

At a glance: IEEG · Sleep sleep · unknown · 166 subjects · 167 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="ds006107", cache_dir="./cache")
print(len(ds), "recordings")

You can also load it by canonical alias — these are registered classes in eegdash.dataset:

from eegdash.dataset import Kuroda2024
ds = Kuroda2024(cache_dir="./cache")

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/ds006107")

Dataset metadata


Subjects	166
Recordings	167
Tasks (count)	1
Channels	128 (×30), 112 (×19), 104 (×7), 108 (×6), 118 (×6), 124 (×5), 102 (×5), 132 (×5), 100 (×5), 120 (×5), 106 (×5), 138 (×4), 130 (×4), 58 (×4), 140 (×3), 110 (×3), 116 (×3), 34 (×2), 86 (×2), 136 (×2), 150 (×2), 84 (×2), 114 (×2), 64 (×2), 126 (×2), 144 (×2), 72 (×2), 98 (×2), 48 (×1), 78 (×1), 68 (×1), 94 (×1), 80 (×1), 44 (×1), 134 (×1), 73 (×1), 70 (×1), 52 (×1), 109 (×1), 156 (×1), 88 (×1), 28 (×1), 74 (×1), 69 (×1), 38 (×1), 164 (×1), 82 (×1), 56 (×1), 96 (×1), 54 (×1), 133 (×1), 90 (×1), 46 (×1), 122 (×1)
Sampling rate (Hz)	1000 (×167)
Total duration (h)	16.5
Size on disk	11.9 GB
Recording type	IEEG
Experimental modality	Sleep
Paradigm type	Sleep
Population	Unknown
Source	openneuro
License	CC0

iEEG_Neural_spatial_volatility

Load this dataset

Dataset metadata

Links