EEGDash/ds006673

--- pretty_name: "ball_squeeze_Carlton_2025" license: cc0-1.0 tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch - motor size_categories: - n<1K task_categories: - other --- # ball_squeeze_Carlton_2025 **Dataset ID:** `ds006673` _Carlton2025_ > **At a glance:** FNIRS · Motor motor · healthy · 17 subjects · 67 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="ds006673", 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/ds006673") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 17 | | **Recordings** | 67 | | **Tasks (count)** | 2 | | **Channels** | 2440 (×52), 1134 (×15) | | **Size on disk** | 7.8 GB | | **Recording type** | FNIRS | | **Experimental modality** | Motor | | **Paradigm type** | Motor | | **Population** | Healthy | | **Source** | openneuro | | **License** | CC0 | ## Links - **DOI:** [10.18112/openneuro.ds006673.v1.0.2](https://doi.org/10.18112/openneuro.ds006673.v1.0.2) - **OpenNeuro:** [ds006673](https://openneuro.org/datasets/ds006673) - **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/ds006673). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._--- 美观名称："ball_squeeze_Carlton_2025" 许可协议：CC0 1.0 标签： - 脑电图（Electroencephalography, EEG） - 神经科学 - EEGDash - 脑机接口（Brain-Computer Interface, BCI） - PyTorch - 运动相关 样本规模类别： - 样本数少于1000 任务类别： - 其他 --- # ball_squeeze_Carlton_2025 **数据集ID：** `ds006673` _Carlton2025_ > **概览：** 功能性近红外光谱（Functional Near-Infrared Spectroscopy, FNIRS） · 运动相关任务 · 健康人群 · 17名受试者 · 67条记录 · CC0 1.0 ## 加载该数据集 本仓库仅为**索引指针**。原始脑电图（EEG）数据存储于其官方来源（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式加载该数据集，并返回适配PyTorch与braindecode的数据集对象。 python # pip install eegdash from eegdash import EEGDashDataset ds = EEGDashDataset(dataset="ds006673", cache_dir="./cache") print(len(ds), "条记录") 若该数据集已以braindecode的Zarr格式镜像至Hugging Face Hub，亦可直接拉取： python from braindecode.datasets import BaseConcatDataset ds = BaseConcatDataset.pull_from_hub("EEGDash/ds006673") ## 数据集元数据 | 字段 | 数值 | |---|---| | **受试者数量** | 17 | | **记录条数** | 67 | | **任务（数量）** | 2 | | **通道数** | 2440（×52）、1134（×15） | | **磁盘占用空间** | 7.8 GB | | **记录类型** | 功能性近红外光谱（FNIRS） | | **实验模态** | 运动相关 | | **范式类型** | 运动相关 | | **受试人群** | 健康人群 | | **数据来源** | OpenNeuro | | **许可协议** | CC0 1.0 | ## 相关链接 - **DOI：** [10.18112/openneuro.ds006673.v1.0.2](https://doi.org/10.18112/openneuro.ds006673.v1.0.2) - **OpenNeuro：** [ds006673](https://openneuro.org/datasets/ds006673) - **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/ds006673) 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。_