EEGDash/ds005779

--- pretty_name: "Real-time personalized brain state-dependent TMS in healthy adults" license: cc0-1.0 tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch - other - clinical-intervention size_categories: - n<1K task_categories: - other --- # Real-time personalized brain state-dependent TMS in healthy adults **Dataset ID:** `ds005779` _Khatri2025_ > **At a glance:** EEG · Other clinical/intervention · healthy · 19 subjects · 250 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="ds005779", 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/ds005779") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 19 | | **Recordings** | 250 | | **Tasks (count)** | 16 | | **Channels** | 67 (×235), 64 (×14), 70 (×1) | | **Sampling rate (Hz)** | 5000 (×250) | | **Total duration (h)** | 19.8 | | **Size on disk** | 88.7 GB | | **Recording type** | EEG | | **Experimental modality** | Other | | **Paradigm type** | Clinical/Intervention | | **Population** | Healthy | | **Source** | openneuro | | **License** | CC0 | ## Links - **DOI:** [10.18112/openneuro.ds005779.v1.0.1](https://doi.org/10.18112/openneuro.ds005779.v1.0.1) - **OpenNeuro:** [ds005779](https://openneuro.org/datasets/ds005779) - **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/ds005779). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._--- 数据集显示名称：健康成人实时个性化脑状态依赖性经颅磁刺激（Transcranial Magnetic Stimulation, TMS）数据集 许可协议：CC0 1.0 标签： - 脑电图（electroencephalogram, EEG） - 神经科学 - EEGDash - 脑机接口（brain-computer interface, BCI） - PyTorch - 其他 - 临床干预 样本量类别： - 样本量小于1000 任务类别： - 其他 --- # 健康成人实时个性化脑状态依赖性经颅磁刺激（TMS）数据集 **数据集标识符：** `ds005779` _Khatri等人，2025年_ > **概览：** 脑电图（EEG）· 其他临床/干预研究 · 健康人群 · 19名受试者 · 250条记录 · CC0许可 ## 加载此数据集 本仓库仅为**指针仓库**。原始脑电图数据存储于其官方来源（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 # 安装eegdash依赖库 from eegdash import EEGDashDataset ds = EEGDashDataset(dataset="ds005779", cache_dir="./cache") print(len(ds), "条记录") 若该数据集已按照braindecode的Zarr格式镜像至Hugging Face Hub（HF Hub），亦可直接拉取： python from braindecode.datasets import BaseConcatDataset ds = BaseConcatDataset.pull_from_hub("EEGDash/ds005779") ## 数据集元数据 | 元数据项 | 数值 | |---|---| | **受试者人数** | 19 | | **记录条数** | 250 | | **任务（数量）** | 16 | | **通道数** | 67通道（235次）、64通道（14次）、70通道（1次） | | **采样率（赫兹）** | 5000Hz（250次） | | **总时长（小时）** | 19.8 | | **磁盘占用** | 88.7 GB | | **记录类型** | 脑电图（EEG） | | **实验模态** | 其他 | | **实验范式类型** | 临床/干预 | | **研究人群** | 健康人群 | | **数据来源** | OpenNeuro | | **许可协议** | CC0 1.0 | ## 相关链接 - **DOI**：[10.18112/openneuro.ds005779.v1.0.1](https://doi.org/10.18112/openneuro.ds005779.v1.0.1) - **OpenNeuro平台**：[ds005779](https://openneuro.org/datasets/ds005779) - **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> --- _本文件由[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/ds005779)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`以更新元数据。_