| --- |
| pretty_name: "Learning from label proportions for a visual matrix speller (ERP)" |
| license: cc-by-4.0 |
| tags: |
| - eeg |
| - neuroscience |
| - eegdash |
| - brain-computer-interface |
| - pytorch |
| - visual |
| - attention |
| size_categories: |
| - n<1K |
| task_categories: |
| - other |
| --- |
| |
| # Learning from label proportions for a visual matrix speller (ERP) |
|
|
| **Dataset ID:** `nm000199` |
|
|
| _Hubner2017_ |
|
|
| **Canonical aliases:** `Huebner2017` |
|
|
| > **At a glance:** EEG · Visual attention · healthy · 13 subjects · 342 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="nm000199", 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 Huebner2017 |
| ds = Huebner2017(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/nm000199") |
| ``` |
|
|
|
|
| ## Dataset metadata |
|
|
| | | | |
| |---|---| |
| | **Subjects** | 13 | |
| | **Recordings** | 342 | |
| | **Tasks (count)** | 1 | |
| | **Channels** | 31 (×342) | |
| | **Sampling rate (Hz)** | 1000 (×342) | |
| | **Total duration (h)** | 16.4 | |
| | **Size on disk** | 5.1 GB | |
| | **Recording type** | EEG | |
| | **Experimental modality** | Visual | |
| | **Paradigm type** | Attention | |
| | **Population** | Healthy | |
| | **Source** | nemar | |
| | **License** | CC-BY-4.0 | |
|
|
| ## Links |
|
|
| - **NEMAR:** [nm000199](https://nemar.org/dataexplorer/detail?dataset_id=nm000199) |
| - **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/nm000199). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._ |
|
|
