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pretty_name: "ABSeqMEG"
license: cc0-1.0
tags:
- meg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- auditory
- memory
size_categories:
- n<1K
task_categories:
- other
---
# ABSeqMEG
**Dataset ID:** `ds004483`
_Planton2023_
**Canonical aliases:** `ABSeqMEG`
> **At a glance:** MEG · Auditory memory · healthy · 19 subjects · 282 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="ds004483", 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 ABSeqMEG
ds = ABSeqMEG(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/ds004483")
```
## Dataset metadata
| | |
|---|---|
| **Subjects** | 19 |
| **Recordings** | 282 |
| **Tasks (count)** | 1 |
| **Channels** | 396 (×263) |
| **Sampling rate (Hz)** | 250 (×263) |
| **Total duration (h)** | 16.7 |
| **Size on disk** | 23.4 GB |
| **Recording type** | MEG |
| **Experimental modality** | Auditory |
| **Paradigm type** | Memory |
| **Population** | Healthy |
| **Source** | openneuro |
| **License** | CC0 |
| **NEMAR citations** | 2.0 |
## Links
- **DOI:** [10.18112/openneuro.ds004483.v1.0.0](https://doi.org/10.18112/openneuro.ds004483.v1.0.0)
- **OpenNeuro:** [ds004483](https://openneuro.org/datasets/ds004483)
- **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/ds004483). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._
|