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pretty_name: "Logical reasoning study"
license: cc0-1.0
tags:
- meg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- unknown
- decision-making
size_categories:
- n<1K
task_categories:
- other
---
# Logical reasoning study
**Dataset ID:** `ds003483`
_Cognitive2021_
**Canonical aliases:** `Maestu2021`
> **At a glance:** MEG · Unknown decision-making · healthy · 21 subjects · 41 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="ds003483", 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 Maestu2021
ds = Maestu2021(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/ds003483")
```
## Dataset metadata
| | |
|---|---|
| **Subjects** | 21 |
| **Recordings** | 41 |
| **Tasks (count)** | 2 |
| **Channels** | 320 (×41) |
| **Sampling rate (Hz)** | 1000 (×41) |
| **Total duration (h)** | 11.0 |
| **Size on disk** | 24.5 GB |
| **Recording type** | MEG |
| **Experimental modality** | Unknown |
| **Paradigm type** | Decision-making |
| **Population** | Healthy |
| **Source** | openneuro |
| **License** | CC0 |
| **NEMAR citations** | 3.0 |
## Links
- **DOI:** [10.18112/openneuro.ds003483.v1.0.2](https://doi.org/10.18112/openneuro.ds003483.v1.0.2)
- **OpenNeuro:** [ds003483](https://openneuro.org/datasets/ds003483)
- **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/ds003483). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._
|