EEGDash/ds007554

--- pretty_name: "Multimodal dataset from the CMx7-MM Experiment" license: cc0-1.0 tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch - unknown - other size_categories: - 1K<n<10K task_categories: - other --- # Multimodal dataset from the CMx7-MM Experiment **Dataset ID:** `ds007554` _Ajra2026_ > **At a glance:** EEG, FNIRS · Unknown other · healthy · 30 subjects · 1034 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="ds007554", 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/ds007554") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 30 | | **Recordings** | 1034 | | **Tasks (count)** | 7 | | **Channels** | 32 (×1034) | | **Sampling rate (Hz)** | 10 (×519), 250.002243692634 (×26), 250.00227279699027 (×13), 250.00027916425347 (×12), 250.00220003611236 (×12), 250.0003082681523 (×10), 250.00206906663882 (×7), 250.0003344161922 (×7), 250.0022582448113 (×7), 249.99969708769964 (×7), 250.00079612894984 (×7), 250.0003892134066 (×7), 250.0009023984434 (×7), 249.9997989509009 (×7), 250.0001952063645 (×7), 250.0004683397171 (×7), 250.0001184960745 (×7), 250.00098976743945 (×7), 250.00004633330667 (×7), 250.00197788831903 (×7), 250.00085794657687 (×7), 250.00092087268928 (×7), 250.0006918490773 (×7), 250.00020640453602 (×7), 250.0009635339967 (×7), 249.99990081418517 (×7), 249.99995902181342 (×7), 250.00038784916032 (×7), 250.00028848659534 (×7), 250.0007861528667 (×7), 250.0003228201043 (×7), 249.99991536608968 (×7), 250.00119525819466 (×7), 250.00208361879578 (×7), 249.99972619146294 (×7), 250.00217093177304 (×7), 250.00094787351506 (×6), 250.0020981709544 (×6), 249.99996084080226 (×6), 250.00055565156606 (×6), 250.0004374167852 (×6), 250.00064410035029 (×6), 250.00228734917093 (×6), 250.00205451448358 (×6), 250.00056292755625 (×6), 250.0006486478473 (×6), 250.00001813896364 (×6), 250.00026461230658 (×6), 250.00067934345654 (×6), 250.0002209564761 (×6), 250.00218548394184 (×6), 250.00074721488596 (×6), 250.00023550841792 (×6), 250.00157429431061 (×6), 250.0001383628698 (×6), 250.00057674056998 (×6), 250.0009258749471 (×6), 250.00077165770458 (×6), 250.00231645353733 (×6), 250.0006891205781 (×6), 250.00080547975216 (×6), 250.0004249680335 (×6), 250.00278212432153 (×6), 250.00195992551573 (×6), 250.0008785240374 (×5), 250.00310227399197 (×5), 250.00043923578096 (×5), 250.00045378774817 (×5), 250.00042468381545 (×5), 250.00072163519718 (×5), 250.00041013185162 (×5), 249.99993719394965 (×4), 250.00224414738952 (×4), 250.0004295723662 (×3), 250.00074846544865 (×3), 249.99984988253266 (×3), 249.99994446990382 (×3), 250.0005021616826 (×3), 250.00218593869715 (×2), 250.00059930751343 (×2), 250.00041146767637 (×2) | | **Total duration (h)** | 61.9 | | **Size on disk** | 4.2 GB | | **Recording type** | EEG, FNIRS | | **Experimental modality** | Unknown | | **Paradigm type** | Other | | **Population** | Healthy | | **Source** | openneuro | | **License** | CC0 | ## Links - **DOI:** [10.18112/openneuro.ds007554.v1.0.0](https://doi.org/10.18112/openneuro.ds007554.v1.0.0) - **OpenNeuro:** [ds007554](https://openneuro.org/datasets/ds007554) - **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/ds007554). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._--- 展示名称: "CMx7-MM 实验多模态数据集" 授权协议: cc0-1.0 标签: - 脑电图（Electroencephalogram, EEG） - 神经科学 - EEGDash - 脑机接口（Brain-Computer Interface, BCI） - PyTorch - 未知 - 其他 样本量范围: 1K<n<10K 任务类别: 其他 --- # CMx7-MM 实验多模态数据集 **数据集ID:** `ds007554` _Ajra2026_ > **概览:** 脑电图（EEG）、功能性近红外光谱（fNIRS）· 未知其他 · 健康人群 · 30名受试者 · 1034条记录 · CC0协议 ## 加载此数据集 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) 可按需流式读取并返回 PyTorch / braindecode 数据集。 python # 安装eegdash库 from eegdash import EEGDashDataset ds = EEGDashDataset(dataset="ds007554", 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/ds007554") ## 数据集元数据 | 元数据项 | 详情 | |---|---| | **受试者数量** | 30 | | **记录条数** | 1034 | | **任务（计数）** | 7 | | **通道数** | 32（×1034） | | **采样率（Hz）** | 10（×519）, 250.002243692634（×26）, 250.00227279699027（×13）, 250.00027916425347（×12）, 250.00220003611236（×12）, 250.0003082681523（×10）, 250.00206906663882（×7）, 250.0003344161922（×7）, 250.0022582448113（×7）, 249.99969708769964（×7）, 250.00079612894984（×7）, 250.0003892134066（×7）, 250.0009023984434（×7）, 249.9997989509009（×7）, 250.0001952063645（×7）, 250.0004683397171（×7）, 250.0001184960745（×7）, 250.00098976743945（×7）, 250.00004633330667（×7）, 250.00197788831903（×7）, 250.00085794657687（×7）, 250.00092087268928（×7）, 250.0006918490773（×7）, 250.00020640453602（×7）, 250.0009635339967（×7）, 249.99990081418517（×7）, 249.99995902181342（×7）, 250.00038784916032（×7）, 250.00028848659534（×7）, 250.0007861528667（×7）, 250.0003228201043（×7）, 249.99991536608968（×7）, 250.00119525819466（×7）, 250.00208361879578（×7）, 249.99972619146294（×7）, 250.00217093177304（×7）, 250.00094787351506（×6）, 250.0020981709544（×6）, 249.99996084080226（×6）, 250.00055565156606（×6）, 250.0004374167852（×6）, 250.00064410035029（×6）, 250.00228734917093（×6）, 250.00205451448358（×6）, 250.00056292755625（×6）, 250.0006486478473（×6）, 250.00001813896364（×6）, 250.00026461230658（×6）, 250.00067934345654（×6）, 250.0002209564761（×6）, 250.00218548394184（×6）, 250.00074721488596（×6）, 250.00023550841792（×6）, 250.00157429431061（×6）, 250.0001383628698（×6）, 250.00057674056998（×6）, 250.0009258749471（×6）, 250.00077165770458（×6）, 250.00231645353733（×6）, 250.0006891205781（×6）, 250.00080547975216（×6）, 250.0004249680335（×6）, 250.00278212432153（×6）, 250.00195992551573（×6）, 250.0008785240374（×5）, 250.00310227399197（×5）, 250.00043923578096（×5）, 250.00045378774817（×5）, 250.00042468381545（×5）, 250.00072163519718（×5）, 250.00041013185162（×5）, 249.99993719394965（×4）, 250.00224414738952（×4）, 250.0004295723662（×3）, 250.00074846544865（×3）, 249.99984988253266（×3）, 249.99994446990382（×3）, 250.0005021616826（×3）, 250.00218593869715（×2）, 250.00059930751343（×2）, 250.00041146767637（×2） | | **总时长（小时）** | 61.9 | | **磁盘占用大小** | 4.2 GB | | **记录类型** | 脑电图（EEG）、功能性近红外光谱（fNIRS） | | **实验模态** | 未知 | | **范式类型** | 其他 | | **受试人群** | 健康人群 | | **数据来源** | OpenNeuro | | **授权协议** | CC0 1.0 | ## 相关链接 - **DOI:** [10.18112/openneuro.ds007554.v1.0.0](https://doi.org/10.18112/openneuro.ds007554.v1.0.0) - **OpenNeuro:** [ds007554](https://openneuro.org/datasets/ds007554) - **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> --- _本内容由 [dataset_summary.csv](https://github.com/eegdash/EEGDash/blob/main/eegdash/dataset/dataset_summary.csv) 及 [EEGDash API](https://data.eegdash.org/api/eegdash/datasets/summary/ds007554) 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` 以更新元数据。_