EEGDash/ds005106

--- pretty_name: "200 Objects Infants EEG" license: cc0-1.0 tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch size_categories: - n<1K task_categories: - other --- # 200 Objects Infants EEG **Dataset ID:** `ds005106` _Grootswagers2024_ > **At a glance:** EEG · 42 subjects · 42 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="ds005106", 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/ds005106") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 42 | | **Recordings** | 42 | | **Tasks (count)** | 1 | | **Channels** | 33 (×42) | | **Sampling rate (Hz)** | 500 (×42) | | **Size on disk** | 1.2 GB | | **Recording type** | EEG | | **Source** | openneuro | | **License** | CC0 | | **NEMAR citations** | 0.0 | ## Links - **DOI:** [10.18112/openneuro.ds005106.v1.5.0](https://doi.org/10.18112/openneuro.ds005106.v1.5.0) - **OpenNeuro:** [ds005106](https://openneuro.org/datasets/ds005106) - **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/ds005106). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._--- pretty_name: "200个物体婴幼儿脑电图（200 Objects Infants EEG）" license: CC0 1.0协议 tags: - 脑电图（EEG） - 神经科学 - EEGDash - 脑机接口（brain-computer-interface） - PyTorch size_categories: - 样本数少于1000 task_categories: - 其他 --- # 200个物体婴幼儿脑电图数据集（200 Objects Infants EEG） **数据集ID**：`ds005106` _Grootswagers等，2024_ > **快速概览**：脑电图（EEG）· 42名被试 · 42条记录 · CC0许可证 ## 数据集加载方式 本仓库为**指针仓库**，原始脑电图数据存储于其官方源（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式加载并返回PyTorch / braindecode格式的数据集。 python # 安装eegdash库 from eegdash import EEGDashDataset ds = EEGDashDataset(dataset="ds005106", 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，亦可直接拉取： python from braindecode.datasets import BaseConcatDataset ds = BaseConcatDataset.pull_from_hub("EEGDash/ds005106") ## 数据集元数据 | 元数据项 | 详情 | |---|---| | **被试数量** | 42 | | **记录条数** | 42 | | **任务总数** | 1 | | **脑电通道数** | 33（共42条记录） | | **采样率（Hz）** | 500（共42条记录） | | **磁盘占用大小** | 1.2 GB | | **记录类型** | 脑电图（EEG） | | **数据源** | OpenNeuro | | **许可证** | CC0 | | **NEMAR引用数** | 0.0 | ## 相关链接 - **数字对象标识符（DOI）**：[10.18112/openneuro.ds005106.v1.5.0](https://doi.org/10.18112/openneuro.ds005106.v1.5.0) - **OpenNeuro平台链接**：[ds005106](https://openneuro.org/datasets/ds005106) - **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/ds005106)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。