EEGDash/ds005293

--- pretty_name: "95 By BP" license: cc0-1.0 tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch - tactile - perception size_categories: - n<1K task_categories: - other --- # 95 By BP **Dataset ID:** `ds005293` _Xiangyue2024_95_BP_ > **At a glance:** EEG · Tactile perception · healthy · 95 subjects · 570 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="ds005293", 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/ds005293") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 95 | | **Recordings** | 570 | | **Tasks (count)** | 1 | | **Channels** | 60 (×570) | | **Sampling rate (Hz)** | 1000 (×570) | | **Total duration (h)** | 234.0 | | **Size on disk** | 98.9 GB | | **Recording type** | EEG | | **Experimental modality** | Tactile | | **Paradigm type** | Perception | | **Population** | Healthy | | **Source** | openneuro | | **License** | CC0 | ## Links - **DOI:** [10.18112/openneuro.ds005293.v1.0.0](https://doi.org/10.18112/openneuro.ds005293.v1.0.0) - **OpenNeuro:** [ds005293](https://openneuro.org/datasets/ds005293) - **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/ds005293). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._--- pretty_name: "95 By BP" license: cc0-1.0 tags: - 脑电图（Electroencephalogram, EEG） - 神经科学 - EEGDash - 脑机接口（Brain-Computer Interface） - PyTorch - 触觉 - 感知 size_categories: - 样本量小于1000 task_categories: - 其他 --- # 95 By BP **数据集编号：** `ds005293` _Xiangyue2024_95_BP_ > **概览：** 脑电图（Electroencephalogram, EEG） · 触觉感知 · 健康人群 · 95名被试 · 570条记录 · CC0协议 ## 加载此数据集 本仓库为**索引指针**。原始脑电图数据存储于其标准源站点（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式传输数据，并返回PyTorch / Braindecode数据集。 python # pip install eegdash from eegdash import EEGDashDataset ds = EEGDashDataset(dataset="ds005293", cache_dir="./cache") print(len(ds), "recordings") 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/ds005293") ## 数据集元数据 | 元数据项 | 详情 | |---|---| | **被试数量** | 95 | | **记录条数** | 570 | | **任务（数量）** | 1 | | **通道数** | 60 × 570 | | **采样率（Hz）** | 1000Hz（单条记录） | | **总时长（小时）** | 234.0 | | **磁盘占用** | 98.9 GB | | **记录类型** | 脑电图（Electroencephalogram, EEG） | | **实验模态** | 触觉 | | **范式类型** | 感知 | | **人群特征** | 健康人群 | | **数据来源** | OpenNeuro | | **许可协议** | CC0 1.0 | ## 相关链接 - **DOI：** [10.18112/openneuro.ds005293.v1.0.0](https://doi.org/10.18112/openneuro.ds005293.v1.0.0) - **OpenNeuro站点：** [ds005293](https://openneuro.org/datasets/ds005293) - **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> - **代码仓库：** <https://github.com/eegdash/EEGDash> --- 本内容由[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/ds005293)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。