--- pretty_name: "Laser-evoked potentials in the human spinal cord and cortex" license: cc0-1.0 tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch - tactile - perception size_categories: - n<1K task_categories: - other --- # Laser-evoked potentials in the human spinal cord and cortex **Dataset ID:** `ds005307` _Nierula2024_ **Canonical aliases:** `Nierula2019` > **At a glance:** EEG · Tactile perception · healthy · 7 subjects · 73 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="ds005307", 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 Nierula2019 ds = Nierula2019(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/ds005307") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 7 | | **Recordings** | 73 | | **Tasks (count)** | 1 | | **Channels** | 77 (×50), 109 (×18), 110 (×5) | | **Sampling rate (Hz)** | 10000 (×73) | | **Total duration (h)** | 1.6 | | **Size on disk** | 18.1 GB | | **Recording type** | EEG | | **Experimental modality** | Tactile | | **Paradigm type** | Perception | | **Population** | Healthy | | **Source** | openneuro | | **License** | CC0 | | **NEMAR citations** | 1.0 | ## Links - **DOI:** [10.18112/openneuro.ds005307.v1.0.1](https://doi.org/10.18112/openneuro.ds005307.v1.0.1) - **OpenNeuro:** [ds005307](https://openneuro.org/datasets/ds005307) - **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/ds005307). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._