| --- |
| 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](https://github.com/eegdash/EEGDash) streams it |
| on demand and returns a PyTorch / braindecode dataset. |
|
|
| ```python |
| # 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`: |
|
|
| ```python |
| 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: |
|
|
| ```python |
| 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 | |
|
|
| ## Links |
|
|
| - **DOI:** [10.18112/openneuro.ds006107.v1.0.0](https://doi.org/10.18112/openneuro.ds006107.v1.0.0) |
| - **OpenNeuro:** [ds006107](https://openneuro.org/datasets/ds006107) |
| - **Browse 700+ datasets:** [EEGDash catalog](https://huggingface.co/spaces/EEGDash/catalog) |
| - **Docs:** <https://eegdash.org> |
| - **Code:** <https://github.com/eegdash/EEGDash> |
|
|
| --- |
|
|
| _Auto-generated from [dataset_summary.csv](https://github.com/eegdash/EEGDash/blob/main/eegdash/dataset/dataset_summary.csv) and the [EEGDash API](https://data.eegdash.org/api/eegdash/datasets/summary/ds006107). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._ |
|
|
