EEGDash/ds005863

--- pretty_name: "Cognitive Electrophysiology in Socioeconomic Context in Adulthood" license: cc0-1.0 tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch - multisensory - other size_categories: - n<1K task_categories: - other --- # Cognitive Electrophysiology in Socioeconomic Context in Adulthood **Dataset ID:** `ds005863` _Isbell2025_Cognitive_ > **At a glance:** EEG · Multisensory other · healthy · 127 subjects · 357 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="ds005863", 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/ds005863") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 127 | | **Recordings** | 357 | | **Tasks (count)** | 4 | | **Channels** | 30 (×357) | | **Sampling rate (Hz)** | 500 (×357) | | **Total duration (h)** | 50.9 | | **Size on disk** | 10.6 GB | | **Recording type** | EEG | | **Experimental modality** | Multisensory | | **Paradigm type** | Other | | **Population** | Healthy | | **Source** | openneuro | | **License** | CC0 | ## Links - **DOI:** [10.18112/openneuro.ds005863.v2.0.0](https://doi.org/10.18112/openneuro.ds005863.v2.0.0) - **OpenNeuro:** [ds005863](https://openneuro.org/datasets/ds005863) - **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/ds005863). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._pretty_name: "成年期社会经济背景下的认知电生理学" license: cc0-1.0 tags: - 脑电图（EEG） - 神经科学 - EEGDash - 脑机接口（Brain-Computer Interface） - PyTorch - 多感官（Multisensory） - 其他 size_categories: - n<1K task_categories: - 其他 # 成年期社会经济背景下的认知电生理学 **数据集编号：** `ds005863` *Isbell2025_Cognitive* > **概览：** 脑电图（EEG）· 多感官（Multisensory）及其他 · 健康人群 · 127名受试者 · 357条记录 · CC0 ## 加载此数据集 本仓库为**指针仓库**。原始脑电图（EEG）数据存储于其官方源（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式加载该数据集，并返回适配PyTorch与braindecode的数据集格式。 python # pip install eegdash from eegdash import EEGDashDataset ds = EEGDashDataset(dataset="ds005863", cache_dir="./cache") print(len(ds), "recordings") 若该数据集已以braindecode的Zarr格式镜像至Hugging Face Hub，你也可直接拉取： python from braindecode.datasets import BaseConcatDataset ds = BaseConcatDataset.pull_from_hub("EEGDash/ds005863") ## 数据集元数据 | | | |---|---| | **受试者数量** | 127 | | **记录条数** | 357 | | **任务（数量）** | 4 | | **通道数** | 30（×357） | | **采样率（Hz）** | 500（×357） | | **总时长（小时）** | 50.9 | | **磁盘占用** | 10.6 GB | | **记录类型** | 脑电图（EEG） | | **实验模态** | 多感官（Multisensory） | | **范式类型** | 其他 | | **人群特征** | 健康人群 | | **数据来源** | OpenNeuro | | **授权协议** | CC0 | ## 相关链接 - **DOI：** [10.18112/openneuro.ds005863.v2.0.0](https://doi.org/10.18112/openneuro.ds005863.v2.0.0) - **OpenNeuro：** [ds005863](https://openneuro.org/datasets/ds005863) - **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：** <https://github.com/eegdash/EEGDash> --- _本内容由 [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/ds005863) 自动生成。请勿手动编辑此文件——请更新上游源并重新运行 `scripts/push_metadata_stubs.py` 脚本。_