---
pretty_name: "Mainsah2025-O"
license: cc-by-4.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - visual
  - perception
  - other
size_categories:
  - n<1K
task_categories:
  - other
---

# Mainsah2025-O

**Dataset ID:** `nm000303`

_Mainsah2025_O_

> **At a glance:** EEG · Visual perception · other · 18 subjects · 347 recordings · CC-BY-4.0

## 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="nm000303", 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/nm000303")
```


## Dataset metadata

| | |
|---|---|
| **Subjects** | 18 |
| **Recordings** | 347 |
| **Tasks (count)** | 1 |
| **Channels** | 32 (×347) |
| **Sampling rate (Hz)** | 256.0000930697907 (×162), 256 (×101), 256.00008203487505 (×40), 256.0001098418278 (×12), 256.00012071918457 (×12), 256.00010076264726 (×7), 256.0001184842897 (×4), 256.00009694678226 (×3), 256.00010663894057 (×3), 256.00008886963377 (×2), 256.00010131094785 (×1) |
| **Total duration (h)** | 11.5 |
| **Size on disk** | 992.2 MB |
| **Recording type** | EEG |
| **Experimental modality** | Visual |
| **Paradigm type** | Perception |
| **Population** | Other |
| **Source** | nemar |
| **License** | CC-BY-4.0 |

## Links

- **DOI:** [10.13026/0byy-ry86](https://doi.org/10.13026/0byy-ry86)
- **NEMAR:** [nm000303](https://nemar.org/dataexplorer/detail?dataset_id=nm000303)
- **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/nm000303). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._