EEGDash/ds005776

--- pretty_name: "Electrical_Thermal_FingerTapping_2015" license: cc0-1.0 tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch - tactile - motor size_categories: - n<1K task_categories: - other --- # Electrical_Thermal_FingerTapping_2015 **Dataset ID:** `ds005776` _Yucel2025_Electrical_ **Canonical aliases:** `Yucel2015` > **At a glance:** FNIRS · Tactile motor · healthy · 11 subjects · 46 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="ds005776", 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 Yucel2015 ds = Yucel2015(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/ds005776") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 11 | | **Recordings** | 46 | | **Tasks (count)** | 5 | | **Channels** | 102 (×46) | | **Sampling rate (Hz)** | 50 (×46) | | **Size on disk** | 1.2 GB | | **Recording type** | FNIRS | | **Experimental modality** | Tactile | | **Paradigm type** | Motor | | **Population** | Healthy | | **Source** | openneuro | | **License** | CC0 | ## Links - **DOI:** [10.18112/openneuro.ds005776.v1.0.1](https://doi.org/10.18112/openneuro.ds005776.v1.0.1) - **OpenNeuro:** [ds005776](https://openneuro.org/datasets/ds005776) - **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/ds005776). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._数据集名称："Electrical_Thermal_FingerTapping_2015" 许可证：cc0-1.0 标签： - 脑电图（EEG） - 神经科学 - EEGDash - 脑机接口 - PyTorch - 触觉 - 运动 样本量分类： - 样本量小于1000 任务分类： - 其他 # 电刺激-热刺激手指敲击任务2015 **数据集ID**：`ds005776` _Yucel等2025年电刺激相关数据集_ **标准别名**：`Yucel2015` > **概览**：功能性近红外光谱（fNIRS） · 触觉运动任务 · 健康人群 · 11名被试 · 46条记录 · CC0许可 ## 数据集加载方式 本仓库仅为**索引指针**，原始脑电图（EEG）数据存储于其官方源（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式读取该数据集，并返回适配PyTorch / braindecode的数据集格式。 python # 安装eegdash from eegdash import EEGDashDataset ds = EEGDashDataset(dataset="ds005776", cache_dir="./cache") print(len(ds), "条记录") 你也可以通过标准别名加载该数据集——这些类已在`eegdash.dataset`中完成注册： python from eegdash.dataset import Yucel2015 ds = Yucel2015(cache_dir="./cache") 若该数据集已按照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/ds005776") ## 数据集元数据 | 元数据项 | 详情 | |---|---| | **被试人数** | 11 | | **记录条数** | 46 | | **任务类型（数量）** | 5 | | **通道数** | 102（共46条记录） | | **采样率（Hz）** | 50（共46条记录） | | **磁盘占用空间** | 1.2 GB | | **记录类型** | 功能性近红外光谱（fNIRS） | | **实验模态** | 触觉 | | **实验范式类型** | 运动 | | **研究人群** | 健康人群 | | **数据来源** | OpenNeuro | | **许可证** | CC0 1.0通用公共领域许可 | ## 相关链接 - **DOI**：[10.18112/openneuro.ds005776.v1.0.1](https://doi.org/10.18112/openneuro.ds005776.v1.0.1) - **OpenNeuro平台**：[ds005776](https://openneuro.org/datasets/ds005776) - **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/ds005776)自动生成。请勿手动编辑此文件，请更新上游数据源并重新运行`scripts/push_metadata_stubs.py`脚本以更新内容。