EEGDash/ds006840

--- pretty_name: "IACKD: Intention Action Conflict EEG-Hand Kinematics Dataset" license: cc0-1.0 tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch - motor size_categories: - n<1K task_categories: - other --- # IACKD: Intention Action Conflict EEG-Hand Kinematics Dataset **Dataset ID:** `ds006840` _Cai2025_ **Canonical aliases:** `IACKD` > **At a glance:** EEG · Motor motor · healthy · 15 subjects · 128 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="ds006840", cache_dir="./cache") print(len(ds), "recordings") ``` You can also load it by canonical alias — these are registered classes in `eegdash.dataset`: ```python from eegdash.dataset import IACKD ds = IACKD(cache_dir="./cache") ``` 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/ds006840") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 15 | | **Recordings** | 128 | | **Tasks (count)** | 1 | | **Channels** | 29 (×96), 31 (×32) | | **Sampling rate (Hz)** | 1024 (×128) | | **Total duration (h)** | 14.8 | | **Size on disk** | 6.0 GB | | **Recording type** | EEG | | **Experimental modality** | Motor | | **Paradigm type** | Motor | | **Population** | Healthy | | **Source** | openneuro | | **License** | CC0 | ## Links - **DOI:** [10.18112/openneuro.ds006840.v1.0.0](https://doi.org/10.18112/openneuro.ds006840.v1.0.0) - **OpenNeuro:** [ds006840](https://openneuro.org/datasets/ds006840) - **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/ds006840). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._pretty_name: "IACKD：意图-动作冲突脑电-手部运动学数据集" license: CC0 1.0 通用公共领域贡献协议 tags: - 脑电（Electroencephalogram, EEG） - 神经科学 - EEGDash - 脑机接口（Brain-Computer Interface, BCI） - PyTorch - 运动相关 size_categories: - 样本量小于1000 task_categories: - 其他 # IACKD：意图-动作冲突脑电-手部运动学数据集 **数据集ID：** `ds006840` _蔡等人，2025年_ **标准别名：** `IACKD` > **概览：** 脑电（EEG）、运动相关、健康人群、15名受试者、128条记录、CC0协议 ## 数据集加载方式 本仓库仅为**索引指针**。原始脑电数据存储于其官方源地址（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式加载该数据集，并返回PyTorch / braindecode格式的数据集对象。 python # pip install eegdash from eegdash import EEGDashDataset ds = EEGDashDataset(dataset="ds006840", cache_dir="./cache") print(len(ds), "recordings") 你也可以通过标准别名加载该数据集——这些类已在`eegdash.dataset`中注册： python from eegdash.dataset import IACKD ds = IACKD(cache_dir="./cache") 若该数据集已按照braindecode的Zarr格式镜像至Hugging Face Hub（HF Hub），你也可以直接拉取： python from braindecode.datasets import BaseConcatDataset ds = BaseConcatDataset.pull_from_hub("EEGDash/ds006840") ## 数据集元数据 | 元数据项 | 详情 | |---|---| | **受试者人数** | 15 | | **记录条数** | 128 | | **任务数** | 1 | | **通道配置** | 29通道（共96组）、31通道（共32组） | | **采样率（Hz）** | 1024（共128条记录） | | **总时长（小时）** | 14.8 | | **磁盘占用大小** | 6.0 GB | | **记录类型** | 脑电（EEG） | | **实验模态** | 运动相关 | | **实验范式类型** | 运动范式 | | **受试人群** | 健康人群 | | **数据来源** | OpenNeuro | | **授权协议** | CC0 1.0 通用公共领域贡献协议 | ## 相关链接 - **DOI：** [10.18112/openneuro.ds006840.v1.0.0](https://doi.org/10.18112/openneuro.ds006840.v1.0.0) - **OpenNeuro：** [ds006840](https://openneuro.org/datasets/ds006840) - **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> - **源代码：** <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/ds006840)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。_