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ds005777 / README.md
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Metadata stub for ds005777
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---
pretty_name: "Electrical_Morphine_Placebo_2018"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- tactile
- perception
size_categories:
- n<1K
task_categories:
- other
---
# Electrical_Morphine_Placebo_2018
**Dataset ID:** `ds005777`
_Peng2025_
**Canonical aliases:** `Peng2018`
> **At a glance:** FNIRS · Tactile perception · unknown · 14 subjects · 113 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="ds005777", 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 Peng2018
ds = Peng2018(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/ds005777")
```
## Dataset metadata
| | |
|---|---|
| **Subjects** | 14 |
| **Recordings** | 113 |
| **Tasks (count)** | 2 |
| **Channels** | 66 (×113) |
| **Sampling rate (Hz)** | 25 (×113) |
| **Size on disk** | 864.8 MB |
| **Recording type** | FNIRS |
| **Experimental modality** | Tactile |
| **Paradigm type** | Perception |
| **Population** | Unknown |
| **Source** | openneuro |
| **License** | CC0 |
## Links
- **DOI:** [10.18112/openneuro.ds005777.v1.0.1](https://doi.org/10.18112/openneuro.ds005777.v1.0.1)
- **OpenNeuro:** [ds005777](https://openneuro.org/datasets/ds005777)
- **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/ds005777). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._