| --- |
| pretty_name: "A subset of large-scale EEG dataset (India + Tanzania)" |
| license: cc0-1.0 |
| tags: |
| - eeg |
| - neuroscience |
| - eegdash |
| - brain-computer-interface |
| - pytorch |
| - resting-state |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - other |
| --- |
| |
| # A subset of large-scale EEG dataset (India + Tanzania) |
|
|
| **Dataset ID:** `ds007358` |
|
|
| _Vianney2026_ |
|
|
| **Canonical aliases:** `Vianney2025` |
|
|
| > **At a glance:** EEG · Resting State resting-state · healthy · 2000 subjects · 6000 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="ds007358", 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 Vianney2025 |
| ds = Vianney2025(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/ds007358") |
| ``` |
|
|
|
|
| ## Dataset metadata |
|
|
| | | | |
| |---|---| |
| | **Subjects** | 2000 | |
| | **Recordings** | 6000 | |
| | **Tasks (count)** | 3 | |
| | **Channels** | 62 (×2408), 60 (×833), 74 (×811), 72 (×770), 68 (×707), 50 (×216), 66 (×150), 56 (×63), 48 (×29), 44 (×6), 54 (×4), 65 (×3) | |
| | **Sampling rate (Hz)** | 128 (×5733), 256 (×267) | |
| | **Total duration (h)** | 276.1 | |
| | **Size on disk** | 16.1 GB | |
| | **Recording type** | EEG | |
| | **Experimental modality** | Resting State | |
| | **Paradigm type** | Resting-state | |
| | **Population** | Healthy | |
| | **Source** | openneuro | |
| | **License** | CC0 | |
|
|
| ## Links |
|
|
| - **DOI:** [10.18112/openneuro.ds007358.v1.0.0](https://doi.org/10.18112/openneuro.ds007358.v1.0.0) |
| - **OpenNeuro:** [ds007358](https://openneuro.org/datasets/ds007358) |
| - **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/ds007358). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._ |
|
|
