.. This documentation page is generated during the Sphinx build. The underlying code is manually maintained and not autogenerated. eegdash.dataset.DS004166 ======================== participants.tsv (OpenNeuro ``ds004166``). Access recordings and metadata through EEGDash. .. rst-class:: sd-badges :bdg-light:`Modality: ['eeg']` :bdg-light:`Tasks: 0` :bdg-light:`License: CC0` :bdg-light:`Subjects: 0` :bdg-light:`Recordings: 0` :bdg-light:`Source: openneuro` Dataset Information ------------------- .. list-table:: :widths: 25 75 :header-rows: 0 * - Dataset ID - ``DS004166`` * - Title - participants.tsv * - Year - 2022 * - Authors - Yang Li (data and curation), Wenjin Fu (data), Qiumei Zhang (data), Xiongying Chen (data), Xiaohong Li (data), Boqi Du (data), Xiaoxiang Deng (data), Feng Ji (curation), Qi Dong (curation), Feng Ji (curation), Susanne M. Jaeggi (curation), Chuansheng Chen (curation), Jun Li (data and curation) * - License - CC0 * - Citation / DOI - `doi:10.18112/openneuro.ds004166.v1.0.0 `__ * - Source links - `OpenNeuro `__ | `NeMAR `__ | `Source URL `__ .. dropdown:: Copy-paste BibTeX :class-container: sd-shadow-sm :class-title: sd-bg-light .. code-block:: bibtex @dataset{ds004166, title = {participants.tsv}, author = {Yang Li (data and curation) and Wenjin Fu (data) and Qiumei Zhang (data) and Xiongying Chen (data) and Xiaohong Li (data) and Boqi Du (data) and Xiaoxiang Deng (data) and Feng Ji (curation) and Qi Dong (curation) and Feng Ji (curation) and Susanne M. Jaeggi (curation) and Chuansheng Chen (curation) and Jun Li (data and curation)}, doi = {10.18112/openneuro.ds004166.v1.0.0}, url = {https://doi.org/10.18112/openneuro.ds004166.v1.0.0}, } Highlights ---------- .. grid:: 1 2 3 3 :gutter: 2 .. grid-item-card:: Subjects & recordings :class-card: sd-border-1 - Subjects: 0 - Recordings: 0 - Tasks: 0 .. grid-item-card:: Channels & sampling rate :class-card: sd-border-1 - Channels: Unknown - Sampling rate (Hz): Unknown - Duration (hours): 0 .. grid-item-card:: Tasks & conditions :class-card: sd-border-1 - Tasks: 0 - Experiment type: Unknown - Subject type: Unknown .. grid-item-card:: Files & format :class-card: sd-border-1 - Size on disk: Unknown - File count: Unknown - Format: Unknown .. grid-item-card:: License & citation :class-card: sd-border-1 - License: CC0 - DOI: doi:10.18112/openneuro.ds004166.v1.0.0 .. grid-item-card:: Provenance :class-card: sd-border-1 - Source: openneuro - OpenNeuro: `ds004166 `__ - NeMAR: `ds004166 `__ Quickstart ---------- **Install** .. code-block:: bash pip install eegdash **Load a recording** .. code-block:: python from eegdash.dataset import DS004166 dataset = DS004166(cache_dir="./data") recording = dataset[0] raw = recording.load() **Filter/query** .. tab-set:: .. tab-item:: Basic .. code-block:: python dataset = DS004166(cache_dir="./data", subject="01") .. tab-item:: Advanced .. code-block:: python dataset = DS004166( cache_dir="./data", query={"subject": {"$in": ["01", "02"]}}, ) Quality & caveats ----------------- - No dataset-specific caveats are listed in the available metadata. API --- .. currentmodule:: eegdash.dataset .. autoclass:: eegdash.dataset.DS004166 :members: __init__, save :show-inheritance: :member-order: bysource See Also -------- * :class:`eegdash.dataset.EEGDashDataset` * :mod:`eegdash.dataset` * `OpenNeuro dataset page `__ * `NeMAR dataset page `__