.. This file is auto-generated during the Sphinx build. Do not edit by hand; changes will be overwritten. eegdash.dataset.DS002725 ======================== .. currentmodule:: eegdash.dataset .. autoclass:: eegdash.dataset.DS002725 :members: :undoc-members: :show-inheritance: :inherited-members: :member-order: bysource Dataset Information ------------------- - **Dataset ID:** ``DS002725`` - **Summary:** Modality: Auditory | Type: Affect | Subjects: Healthy - **Number of Subjects:** 21 - **Number of Recordings:** 105 - **Number of Tasks:** 5 - **Number of Channels:** 30 - **Sampling Frequencies:** 1000 - **Total Duration (hours):** 0.0 - **Dataset Size:** 15.32 GB - **OpenNeuro:** `ds002725 `__ - **NeMAR:** `ds002725 `__ ========= ======= ======= ========== ========== ============= ======== dataset #Subj #Chan #Classes Freq(Hz) Duration(H) Size ========= ======= ======= ========== ========== ============= ======== ds002725 21 30 5 1000 0 15.32 GB ========= ======= ======= ========== ========== ============= ======== Usage Example ------------- .. code-block:: python from eegdash.dataset import DS002725 dataset = DS002725(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 `__