.. This file is auto-generated during the Sphinx build. Do not edit by hand; changes will be overwritten. eegdash.dataset.DS004200 ======================== .. currentmodule:: eegdash.dataset .. autoclass:: eegdash.dataset.DS004200 :members: :undoc-members: :show-inheritance: :inherited-members: :member-order: bysource Dataset Information ------------------- - **Dataset ID:** ``DS004200`` - **Summary:** Modality: Multisensory | Type: Attention | Subjects: Healthy - **Number of Subjects:** 20 - **Number of Recordings:** 20 - **Number of Tasks:** 1 - **Number of Channels:** 37 - **Sampling Frequencies:** 1000 - **Total Duration (hours):** 14.123 - **Dataset Size:** 7.21 GB - **OpenNeuro:** `ds004200 `__ - **NeMAR:** `ds004200 `__ ========= ======= ======= ========== ========== ============= ======= dataset #Subj #Chan #Classes Freq(Hz) Duration(H) Size ========= ======= ======= ========== ========== ============= ======= ds004200 20 37 1 1000 14.123 7.21 GB ========= ======= ======= ========== ========== ============= ======= Usage Example ------------- .. code-block:: python from eegdash.dataset import DS004200 dataset = DS004200(cache_dir="./data") print(f"Number of recordings: {len(dataset)}") if len(dataset): recording = dataset[0] raw = recording.load() print(f"Sampling rate: {raw.info['sfreq']} Hz") print(f"Channels: {len(raw.ch_names)}") See Also -------- * :class:`eegdash.dataset.EEGDashDataset` * :mod:`eegdash.dataset` * `OpenNeuro dataset page `__ * `NeMAR dataset page `__