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title: EEGDash Dataset Catalog
emoji: 🧠
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.9.1
python_version: "3.11"
app_file: app.py
pinned: true
license: bsd-3-clause
short_description: Search 700+ EEG/MEG datasets and load them with one line.
tags:
- eeg
- meg
- neuroscience
- brain-computer-interface
- braindecode
- pytorch
- datasets
hf_oauth: false
---
# EEGDash — Dataset Catalog
Search, filter, and load 200+ publicly shared EEG/MEG datasets. Mirrors the
catalog at [eegdash.org](https://eegdash.org) and generates one-liner load
snippets for [EEGDash](https://github.com/eegdash/EEGDash) and
[braindecode](https://braindecode.org).
## How it works
- The left panel filters the catalog by modality, subject type, source,
license, subject count, and sampling rate.
- Selecting a row shows the dataset card + copy-paste load snippets.
- Rows tagged **on 🤗** have a mirrored HF dataset repo at
`EEGDash/<slug>` and can be fetched with
`BaseConcatDataset.pull_from_hub(...)`.
## Loading a dataset
```python
# Native EEGDash (streams from S3/NEMAR)
from eegdash import EEGDashDataset
ds = EEGDashDataset(dataset="ds002718", cache_dir="./cache")
# From HF Hub (braindecode's pull_from_hub, BIDS-inspired Zarr)
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds002718")
```
## Deploying / updating the Space
See [`DEPLOY.md`](./DEPLOY.md) for the one-time org setup and per-push workflow.
## License
BSD-3-Clause. The hosted datasets retain their upstream licenses — consult each
dataset card before redistribution.
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