EEGDash/ds007523

---
pretty_name: "LPP MEG Listen"
license: cc0-1.0
tags:
- meg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- auditory
- perception
size_categories:
- n<1K
task_categories:
- other
---

# LPP MEG Listen

**Dataset ID:** `ds007523`

_Bel2026_

**Canonical aliases:** `Dascoli2025`

> **At a glance:** MEG · Auditory perception · healthy · 58 subjects · 579 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="ds007523", 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 Dascoli2025
ds = Dascoli2025(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/ds007523")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 58 |
| **Recordings** | 579 |
| **Tasks (count)** | 1 |
| **Channels** | 346 (×484), 404 (×9), 400 (×9), 329 (×9), 343 (×9), 321 (×1) |
| **Sampling rate (Hz)** | 1000 (×521) |
| **Total duration (h)** | 94.8 |
| **Size on disk** | 444.8 GB |
| **Recording type** | MEG |
| **Experimental modality** | Auditory |
| **Paradigm type** | Perception |
| **Population** | Healthy |
| **Source** | openneuro |
| **License** | CC0 |

## Links

- **DOI:** [10.18112/openneuro.ds007523.v1.0.0](https://doi.org/10.18112/openneuro.ds007523.v1.0.0)
- **OpenNeuro:** [ds007523](https://openneuro.org/datasets/ds007523)
- **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/ds007523). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._