EEGDash/ds006803

--- pretty_name: "NeuroTechs Dataset for Stem Skills" license: cc0-1.0 tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch - visual - learning size_categories: - n<1K task_categories: - other --- # NeuroTechs Dataset for Stem Skills **Dataset ID:** `ds006803` _PechCanul2025_ > **At a glance:** EEG · Visual learning · healthy · 63 subjects · 126 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="ds006803", 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/ds006803") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 63 | | **Recordings** | 126 | | **Tasks (count)** | 1 | | **Channels** | 8 (×126) | | **Sampling rate (Hz)** | 250 (×126) | | **Total duration (h)** | 45.9 | | **Size on disk** | 1.4 GB | | **Recording type** | EEG | | **Experimental modality** | Visual | | **Paradigm type** | Learning | | **Population** | Healthy | | **Source** | openneuro | | **License** | CC0 | ## Links - **DOI:** [10.18112/openneuro.ds006803.v1.1.1](https://doi.org/10.18112/openneuro.ds006803.v1.1.1) - **OpenNeuro:** [ds006803](https://openneuro.org/datasets/ds006803) - **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/ds006803). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._--- 数据集名称：用于STEM技能的NeuroTechs数据集 许可协议：CC0 1.0通用公共领域许可 标签： - 脑电图（EEG） - 神经科学 - EEGDash - 脑机接口 - PyTorch - 视觉 - 学习 样本量分类： - n<1000 任务分类： - 其他 --- # 用于STEM技能的NeuroTechs数据集 **数据集编号**：`ds006803` *PechCanul等人，2025* > **快速概览**：脑电图（EEG）、视觉学习、健康受试者、63名被试、126条记录、CC0许可 ## 数据集加载 本仓库为**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，并返回PyTorch / braindecode格式的数据集。 python # 安装eegdash库 from eegdash import EEGDashDataset ds = EEGDashDataset(dataset="ds006803", 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/ds006803") ## 数据集元数据 | 元数据项 | 详情 | |---|---| | **被试人数** | 63 | | **记录条数** | 126 | | **任务数** | 1 | | **电极通道数** | 8（共126条记录） | | **采样率（Hz）** | 250（共126条记录） | | **总时长（小时）** | 45.9 | | **磁盘占用大小** | 1.4 GB | | **记录类型** | 脑电图（EEG） | | **实验模态** | 视觉 | | **实验范式类型** | 学习 | | **受试人群** | 健康人群 | | **数据来源** | OpenNeuro | | **许可协议** | CC0 | ## 相关链接 - **DOI编号**：[10.18112/openneuro.ds006803.v1.1.1](https://doi.org/10.18112/openneuro.ds006803.v1.1.1) - **OpenNeuro数据集页面**：[ds006803](https://openneuro.org/datasets/ds006803) - **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/ds006803)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。*