--- pretty_name: "Gloups_MEG" license: cc0-1.0 tags: - meg - neuroscience - eegdash - brain-computer-interface - pytorch - unknown - learning size_categories: - n<1K task_categories: - other --- # Gloups_MEG **Dataset ID:** `ds005261` _Todorovic2024_ **Canonical aliases:** `Todorovic2023` > **At a glance:** MEG · Unknown learning · healthy · 17 subjects · 128 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="ds005261", 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 Todorovic2023 ds = Todorovic2023(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/ds005261") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 17 | | **Recordings** | 128 | | **Tasks (count)** | 2 | | **Channels** | 248 (×71), 278 (×31), 245 (×24) | | **Sampling rate (Hz)** | 2034.5100996195154 (×31), 2034.5101318359375 (×7) | | **Total duration (h)** | 3.0 | | **Size on disk** | 137.2 GB | | **Recording type** | MEG | | **Experimental modality** | Unknown | | **Paradigm type** | Learning | | **Population** | Healthy | | **Source** | openneuro | | **License** | CC0 | | **NEMAR citations** | 0.0 | ## Links - **DOI:** [10.18112/openneuro.ds005261.v3.0.0](https://doi.org/10.18112/openneuro.ds005261.v3.0.0) - **OpenNeuro:** [ds005261](https://openneuro.org/datasets/ds005261) - **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/ds005261). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._