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ds001971 / README.md
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Metadata stub for ds001971
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---
pretty_name: "Audiocue walking study"
license: other
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
size_categories:
- n<1K
task_categories:
- other
---
# Audiocue walking study
**Dataset ID:** `ds001971`
_Wagner2019_
> **At a glance:** EEG · 20 subjects · 273 recordings · Creative commons
## 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="ds001971", 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:
```python
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds001971")
```
## Dataset metadata
| | |
|---|---|
| **Subjects** | 20 |
| **Recordings** | 273 |
| **Tasks (count)** | 1 |
| **Channels** | 115 (×206), 112 (×67) |
| **Sampling rate (Hz)** | 512 (×273) |
| **Total duration (h)** | 39.8 |
| **Size on disk** | 32.0 GB |
| **Recording type** | EEG |
| **Source** | openneuro |
| **License** | Creative commons |
| **NEMAR citations** | 2.0 |
## Links
- **DOI:** [10.18112/openneuro.ds001971.v1.1.1](https://doi.org/10.18112/openneuro.ds001971.v1.1.1)
- **OpenNeuro:** [ds001971](https://openneuro.org/datasets/ds001971)
- **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/ds001971). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._