--- pretty_name: "PRIOS" license: cc0-1.0 tags: - ieeg - neuroscience - eegdash - brain-computer-interface - pytorch - anesthesia - clinical-intervention - surgery size_categories: - n<1K task_categories: - other --- # PRIOS **Dataset ID:** `ds004370` _Blooijs2022_PRIOS_ **Canonical aliases:** `PRIOS` > **At a glance:** IEEG · Anesthesia clinical/intervention · surgery · 7 subjects · 15 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="ds004370", 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 PRIOS ds = PRIOS(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/ds004370") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 7 | | **Recordings** | 15 | | **Tasks (count)** | 2 | | **Channels** | 133 (×7), 68 (×6), 64 (×2) | | **Sampling rate (Hz)** | 2048 (×15) | | **Total duration (h)** | 10.2 | | **Size on disk** | 27.6 GB | | **Recording type** | IEEG | | **Experimental modality** | Anesthesia | | **Paradigm type** | Clinical/Intervention | | **Population** | Surgery | | **Source** | openneuro | | **License** | CC0 | | **NEMAR citations** | 1.0 | ## Links - **DOI:** [10.18112/openneuro.ds004370.v1.0.2](https://doi.org/10.18112/openneuro.ds004370.v1.0.2) - **OpenNeuro:** [ds004370](https://openneuro.org/datasets/ds004370) - **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/ds004370). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._