EEGDash/ds007347

--- pretty_name: "Sterotactic Focused Ultrasound Mesencephalotomy for the Treatment of Head and Neck Cancer Pain" license: cc0-1.0 tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch - resting-state - clinical-intervention - cancer size_categories: - n<1K task_categories: - other --- # Sterotactic Focused Ultrasound Mesencephalotomy for the Treatment of Head and Neck Cancer Pain **Dataset ID:** `ds007347` _Elias2026_ > **At a glance:** EEG · Resting State clinical/intervention · cancer · 5 subjects · 10 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="ds007347", 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/ds007347") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 5 | | **Recordings** | 10 | | **Tasks (count)** | 1 | | **Channels** | 50 (×6), 102 (×4) | | **Sampling rate (Hz)** | 256 (×6), 512 (×4) | | **Total duration (h)** | 4.5 | | **Size on disk** | 1.6 GB | | **Recording type** | EEG | | **Experimental modality** | Resting State | | **Paradigm type** | Clinical/Intervention | | **Population** | Cancer | | **Source** | openneuro | | **License** | CC0 | ## Links - **DOI:** [10.18112/openneuro.ds007347.v1.0.0](https://doi.org/10.18112/openneuro.ds007347.v1.0.0) - **OpenNeuro:** [ds007347](https://openneuro.org/datasets/ds007347) - **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/ds007347). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._pretty_name: "立体定向聚焦超声中脑切开术治疗头颈部癌痛" license: cc0-1.0 tags: - 脑电图（EEG） - 神经科学 - EEGDash - 脑机接口（Brain-Computer Interface） - PyTorch - 静息态（Resting State） - 临床干预 - 癌症 size_categories: - n<1K task_categories: - 其他 # 立体定向聚焦超声中脑切开术治疗头颈部癌痛 **数据集编号：** `ds007347` _Elias2026_ > **概览：** 脑电图（EEG） · 静息态临床/干预研究 · 癌症 · 5名受试者 · 10次记录 · CC0许可 ## 加载该数据集 本仓库为**指针型仓库**。原始脑电图（EEG）数据存储于其标准来源（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式读取该数据并返回PyTorch / braindecode格式数据集。 python # pip install eegdash from eegdash import EEGDashDataset ds = EEGDashDataset(dataset="ds007347", cache_dir="./cache") print(len(ds), "次记录") 若该数据集已按照braindecode的Zarr格式镜像至Hugging Face Hub，也可直接拉取： python from braindecode.datasets import BaseConcatDataset ds = BaseConcatDataset.pull_from_hub("EEGDash/ds007347") ## 数据集元数据 | 元数据项 | 详情 | |---|---| | **受试者数量** | 5 | | **记录次数** | 10 | | **任务（数量）** | 1 | | **通道数** | 50（×6）、102（×4） | | **采样率（Hz）** | 256（×6）、512（×4） | | **总时长（h）** | 4.5 | | **磁盘占用大小** | 1.6 GB | | **记录类型** | 脑电图（EEG） | | **实验模态** | 静息态（Resting State） | | **范式类型** | 临床/干预 | | **研究人群** | 癌症患者 | | **数据来源** | OpenNeuro | | **许可协议** | CC0 | ## 相关链接 - **DOI：** [10.18112/openneuro.ds007347.v1.0.0](https://doi.org/10.18112/openneuro.ds007347.v1.0.0) - **OpenNeuro：** [ds007347](https://openneuro.org/datasets/ds007347) - **浏览700+数据集：** [EEGDash数据集目录](https://huggingface.co/spaces/EEGDash/catalog) - **文档：** <https://eegdash.org> - **代码仓库：** <https://github.com/eegdash/EEGDash> --- 本内容自动生成自 [dataset_summary.csv](https://github.com/eegdash/EEGDash/blob/main/eegdash/dataset/dataset_summary.csv) 及 [EEGDash API](https://data.eegdash.org/api/eegdash/datasets/summary/ds007347)。请勿手动编辑本文件，请更新上游数据源并重新运行 `scripts/push_metadata_stubs.py` 以更新元数据。