--- pretty_name: "Social Observation EEG raw data" license: cc0-1.0 tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch - unknown size_categories: - n<1K task_categories: - other --- # Social Observation EEG raw data **Dataset ID:** `ds006554` _Su2025_ > **At a glance:** EEG · Unknown unknown · unknown · 47 subjects · 47 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="ds006554", 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/ds006554") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 47 | | **Recordings** | 47 | | **Tasks (count)** | 1 | | **Channels** | 64 (×47) | | **Sampling rate (Hz)** | 500 (×47) | | **Total duration (h)** | 28.2 | | **Size on disk** | 12.1 GB | | **Recording type** | EEG | | **Experimental modality** | Unknown | | **Paradigm type** | Unknown | | **Population** | Unknown | | **Source** | openneuro | | **License** | CC0 | ## Links - **DOI:** [10.18112/openneuro.ds006554.v1.0.0](https://doi.org/10.18112/openneuro.ds006554.v1.0.0) - **OpenNeuro:** [ds006554](https://openneuro.org/datasets/ds006554) - **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/ds006554). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._