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EEGDash/ds005473

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Hugging Face2026-04-20 更新2026-04-26 收录
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https://hf-mirror.com/datasets/EEGDash/ds005473
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资源简介:
--- pretty_name: "29 By BP" license: cc0-1.0 tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch - unknown size_categories: - n<1K task_categories: - other --- # 29 By BP **Dataset ID:** `ds005473` _Xiangyue2024_29_BP_ **Canonical aliases:** `Zhao2024` > **At a glance:** EEG · Unknown unknown · healthy · 29 subjects · 58 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="ds005473", 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 Zhao2024 ds = Zhao2024(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/ds005473") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 29 | | **Recordings** | 58 | | **Tasks (count)** | 1 | | **Channels** | 64 (×58) | | **Sampling rate (Hz)** | 1000 (×58) | | **Total duration (h)** | 14.6 | | **Size on disk** | 6.2 GB | | **Recording type** | EEG | | **Experimental modality** | Unknown | | **Paradigm type** | Unknown | | **Population** | Healthy | | **Source** | openneuro | | **License** | CC0 | ## Links - **DOI:** [10.18112/openneuro.ds005473.v1.0.0](https://doi.org/10.18112/openneuro.ds005473.v1.0.0) - **OpenNeuro:** [ds005473](https://openneuro.org/datasets/ds005473) - **Browse 700+ datasets:** [EEGDash catalog](https://huggingface.co/spaces/EEGDash/catalog) - **Docs:** <https://eegdash.org> - **Code:** <https://github.com/eegdash/EEGDash> --- _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/ds005473). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._
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