--- pretty_name: "liu2025 - NEMAR Dataset" license: other tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch - unknown - motor size_categories: - n<1K task_categories: - other --- # liu2025 - NEMAR Dataset **Dataset ID:** `nm000270` _Liu2025_ > **At a glance:** EEG · Unknown motor · unknown · 27 subjects · 797 recordings · Unknown ## 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="nm000270", 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/nm000270") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 27 | | **Recordings** | 797 | | **Tasks (count)** | 3 | | **Channels** | 64 (×110) | | **Sampling rate (Hz)** | 1000 (×110) | | **Total duration (h)** | 9.0 | | **Size on disk** | Unknown | | **Recording type** | EEG | | **Experimental modality** | Unknown | | **Paradigm type** | Motor | | **Population** | Unknown | | **Source** | nemar | | **License** | Unknown | ## Links - **NEMAR:** [nm000270](https://nemar.org/dataexplorer/detail?dataset_id=nm000270) - **Browse 700+ datasets:** [EEGDash catalog](https://huggingface.co/spaces/EEGDash/catalog) - **Docs:** - **Code:** --- _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/nm000270). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._