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ds005907 / README.md
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Metadata stub for ds005907
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---
pretty_name: "EEG: RL Task (3-Armed Bandit) with alcohol cues in hazardous drinkers and ctls"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- visual
- learning
- alcohol
size_categories:
- n<1K
task_categories:
- other
---
# EEG: RL Task (3-Armed Bandit) with alcohol cues in hazardous drinkers and ctls
**Dataset ID:** `ds005907`
_Campbell2025_
> **At a glance:** EEG · Visual learning · alcohol · 53 subjects · 53 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="ds005907", 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/ds005907")
```
## Dataset metadata
| | |
|---|---|
| **Subjects** | 53 |
| **Recordings** | 53 |
| **Tasks (count)** | 1 |
| **Channels** | 58 (×13), 57 (×13), 56 (×11), 55 (×6), 59 (×4), 54 (×2), 52 (×1), 53 (×1), 33 (×1), 61 (×1) |
| **Sampling rate (Hz)** | 500 (×53) |
| **Total duration (h)** | 14.2 |
| **Size on disk** | 5.6 GB |
| **Recording type** | EEG |
| **Experimental modality** | Visual |
| **Paradigm type** | Learning |
| **Population** | Alcohol |
| **Source** | openneuro |
| **License** | CC0 |
## Links
- **DOI:** [10.18112/openneuro.ds005907.v1.0.0](https://doi.org/10.18112/openneuro.ds005907.v1.0.0)
- **OpenNeuro:** [ds005907](https://openneuro.org/datasets/ds005907)
- **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/ds005907). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._