EEGDash/ds005691

--- pretty_name: "SpinalExpect_Invasive" license: cc0-1.0 tags: - ieeg - neuroscience - eegdash - brain-computer-interface - pytorch - multisensory - attention - other size_categories: - n<1K task_categories: - other --- # SpinalExpect_Invasive **Dataset ID:** `ds005691` _Stenner2024_SpinalExpect_ > **At a glance:** IEEG · Multisensory attention · other · 8 subjects · 8 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="ds005691", 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/ds005691") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 8 | | **Recordings** | 8 | | **Tasks (count)** | 1 | | **Channels** | 7 (×7), 8 (×1) | | **Sampling rate (Hz)** | 2500 (×8) | | **Total duration (h)** | 5.9 | | **Size on disk** | 723.0 MB | | **Recording type** | IEEG | | **Experimental modality** | Multisensory | | **Paradigm type** | Attention | | **Population** | Other | | **Source** | openneuro | | **License** | CC0 | | **NEMAR citations** | 0.0 | ## Links - **DOI:** [10.18112/openneuro.ds005691.v1.0.0](https://doi.org/10.18112/openneuro.ds005691.v1.0.0) - **OpenNeuro:** [ds005691](https://openneuro.org/datasets/ds005691) - **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/ds005691). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._pretty_name: "SpinalExpect_Invasive" license: cc0-1.0 tags: - 颅内脑电图（iEEG） - 神经科学 - EEGDash - 脑机接口 - PyTorch - 多感官 - 注意 - 其他 size_categories: - 样本量＜1000 task_categories: - 其他 # SpinalExpect_Invasive **数据集ID：** `ds005691` *Stenner2024_SpinalExpect* > **概览：** 颅内脑电图（iEEG）· 多感官注意 · 其他 · 8名受试者 · 8次记录 · CC0 1.0协议 ## 加载该数据集 本仓库仅为**索引指针**。原始EEG数据存储于其官方源（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式加载该数据，并返回PyTorch / braindecode格式的数据集。 python # 安装eegdash库 from eegdash import EEGDashDataset ds = EEGDashDataset(dataset="ds005691", cache_dir="./cache") print(len(ds), "次记录") 如果该数据集已按照braindecode的Zarr格式镜像至Hugging Face Hub，你也可以直接拉取： python from braindecode.datasets import BaseConcatDataset ds = BaseConcatDataset.pull_from_hub("EEGDash/ds005691") ## 数据集元数据 | | | |---|---| | **受试者数量** | 8 | | **记录次数** | 8 | | **任务数** | 1 | | **通道数** | 7通道×7次，8通道×1次 | | **采样率（Hz）** | 2500 Hz（共8次记录） | | **总时长（小时）** | 5.9 | | **磁盘占用** | 723.0 MB | | **记录类型** | 颅内脑电图（iEEG） | | **实验模态** | 多感官 | | **实验范式类型** | 注意范式 | | **受试人群** | 其他 | | **数据来源** | OpenNeuro | | **授权协议** | CC0 1.0通用协议 | | **NEMAR引用量** | 0.0 | ## 相关链接 - **DOI：** [10.18112/openneuro.ds005691.v1.0.0](https://doi.org/10.18112/openneuro.ds005691.v1.0.0) - **OpenNeuro平台：** [ds005691](https://openneuro.org/datasets/ds005691) - **浏览700+数据集：** [EEGDash数据集目录](https://huggingface.co/spaces/EEGDash/catalog) - **官方文档：** <https://eegdash.org> - **源代码：** <https://github.com/eegdash/EEGDash> --- _本文件由[dataset_summary.csv](https://github.com/eegdash/EEGDash/blob/main/eegdash/dataset/dataset_summary.csv)与[EEGDash API](https://data.eegdash.org/api/eegdash/datasets/summary/ds005691)自动生成。请勿手动编辑此文件——请更新上游源数据并重新运行`scripts/push_metadata_stubs.py`脚本。_