EEGDash/ds007095

--- pretty_name: "RNS_Epilepsy-iBIDS" license: cc0-1.0 tags: - ieeg - neuroscience - eegdash - brain-computer-interface - pytorch - other - clinical-intervention - epilepsy size_categories: - 1K<n<10K task_categories: - other --- # RNS_Epilepsy-iBIDS **Dataset ID:** `ds007095` _Feng2025_ > **At a glance:** IEEG · Other clinical/intervention · epilepsy · 8 subjects · 6019 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="ds007095", 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/ds007095") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 8 | | **Recordings** | 6019 | | **Tasks (count)** | 1 | | **Channels** | 2 (×6019) | | **Sampling rate (Hz)** | 200 (×6019) | | **Total duration (h)** | 154.6 | | **Size on disk** | 497.8 MB | | **Recording type** | IEEG | | **Experimental modality** | Other | | **Paradigm type** | Clinical/Intervention | | **Population** | Epilepsy | | **Source** | openneuro | | **License** | CC0 | ## Links - **DOI:** [10.18112/openneuro.ds007095.v1.0.0](https://doi.org/10.18112/openneuro.ds007095.v1.0.0) - **OpenNeuro:** [ds007095](https://openneuro.org/datasets/ds007095) - **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/ds007095). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._漂亮名称："RNS_Epilepsy-iBIDS" 许可证：cc0-1.0 标签： - 颅内脑电图（iEEG） - 神经科学 - EEGDash - 脑机接口 - PyTorch - 其他 - 临床干预 - 癫痫 规模类别： - 1K<n<10K 任务类别： - 其他 # RNS_Epilepsy-iBIDS **数据集ID：** `ds007095` _Feng2025_ > **概览：** 颅内脑电图（iEEG）· 其他临床/干预研究 · 癫痫 · 8名受试者 · 6019条记录 · CC0 ## 加载此数据集 本仓库为**指针仓库**。原始脑电图（EEG）数据存储于其标准源站点（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式读取该数据集并返回PyTorch / braindecode格式的数据集对象。 python # pip install eegdash from eegdash import EEGDashDataset ds = EEGDashDataset(dataset="ds007095", 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，也可直接拉取： python from braindecode.datasets import BaseConcatDataset ds = BaseConcatDataset.pull_from_hub("EEGDash/ds007095") ## 数据集元数据 | | | |---|---| | **受试者数量** | 8 | | **记录条数** | 6019 | | **任务（计数）** | 1 | | **通道数** | 2（每条记录） | | **采样率（Hz）** | 200（每条记录） | | **总时长（小时）** | 154.6 | | **磁盘占用大小** | 497.8 MB | | **记录类型** | 颅内脑电图（iEEG） | | **实验模态** | 其他 | | **范式类型** | 临床/干预 | | **研究人群** | 癫痫患者 | | **数据来源** | OpenNeuro | | **许可证** | CC0 | ## 相关链接 - **DOI：** [10.18112/openneuro.ds007095.v1.0.0](https://doi.org/10.18112/openneuro.ds007095.v1.0.0) - **OpenNeuro平台：** [ds007095](https://openneuro.org/datasets/ds007095) - **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) 与 [EEGDash API](https://data.eegdash.org/api/eegdash/datasets/summary/ds007095) 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` 脚本以更新内容。