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<section id="api-and-main-concepts">
<h1>API and Main Concepts<a class="headerlink" href="#api-and-main-concepts" title="Link to this heading">#</a></h1>
<div class="api-hero"><figure class="align-default" id="id17">
<img alt="Concept flow in MOABB" class="api-architecture-diagram" src="_images/architecture.svg" />
<figcaption>
<p><span class="caption-text">Datasets and Paradigms define the problem; Evaluations and Pipelines
define the measurement.</span><a class="headerlink" href="#id17" title="Link to this image">#</a></p>
</figcaption>
</figure>
<p class="api-intro">
There are 4 main concepts in the MOABB:
<strong class="concept-dataset">the datasets</strong>,
<strong class="concept-paradigm">the paradigms</strong>,
<strong class="concept-evaluation">the evaluations</strong>, and
<strong class="concept-pipeline">the pipelines</strong>.
In addition, we offer <strong>statistical</strong>,
<strong>visualization</strong>, <strong>utilities</strong> to simplify the workflow.
</p>
<p class="api-intro">
And if you want to just run the benchmark, you can use our
<strong>benchmark</strong> module that wraps all the steps in a single function.
</p>
</div><section id="datasets">
<h2>Datasets<a class="headerlink" href="#datasets" title="Link to this heading">#</a></h2>
<p>A dataset handles and abstracts low-level access to the data. The
dataset will read data stored locally, in the format in which they have
been downloaded, and will convert them into an MNE raw object. There are
options to pool all the different recording sessions per subject or to
evaluate them separately.</p>
<section id="motor-imagery-datasets">
<h3>Motor Imagery Datasets<a class="headerlink" href="#motor-imagery-datasets" title="Link to this heading">#</a></h3>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.AlexMI.html#moabb.datasets.AlexMI" title="moabb.datasets.AlexMI"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AlexMI</span></code></a>([subjects, sessions])</p></td>
<td><p>Alex Motor Imagery dataset.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2003_004.html#moabb.datasets.BNCI2003_004" title="moabb.datasets.BNCI2003_004"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2003_004</span></code></a>([subjects, sessions])</p></td>
<td><p>BNCI2003_IVa Motor Imagery dataset.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2014_001.html#moabb.datasets.BNCI2014_001" title="moabb.datasets.BNCI2014_001"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2014_001</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>BNCI 2014-001 Motor Imagery dataset.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2014_002.html#moabb.datasets.BNCI2014_002" title="moabb.datasets.BNCI2014_002"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2014_002</span></code></a>([subjects, sessions])</p></td>
<td><p>BNCI 2014-002 Motor Imagery dataset.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2014_004.html#moabb.datasets.BNCI2014_004" title="moabb.datasets.BNCI2014_004"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2014_004</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>BNCI 2014-004 Motor Imagery dataset.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2015_001.html#moabb.datasets.BNCI2015_001" title="moabb.datasets.BNCI2015_001"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2015_001</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>BNCI 2015-001 Motor Imagery dataset.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2015_004.html#moabb.datasets.BNCI2015_004" title="moabb.datasets.BNCI2015_004"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2015_004</span></code></a>([subjects, sessions])</p></td>
<td><p>BNCI 2015-004 Mental tasks dataset.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2019_001.html#moabb.datasets.BNCI2019_001" title="moabb.datasets.BNCI2019_001"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2019_001</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>BNCI 2019-001 Motor Imagery dataset for Spinal Cord Injury patients.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2020_001.html#moabb.datasets.BNCI2020_001" title="moabb.datasets.BNCI2020_001"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2020_001</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>BNCI 2020-001 Reach-and-Grasp Electrode Comparison dataset.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2022_001.html#moabb.datasets.BNCI2022_001" title="moabb.datasets.BNCI2022_001"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2022_001</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>BNCI 2022-001 EEG Correlates of Difficulty Level dataset.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2024_001.html#moabb.datasets.BNCI2024_001" title="moabb.datasets.BNCI2024_001"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2024_001</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>BNCI 2024-001 Handwritten Character Classification dataset.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2025_001.html#moabb.datasets.BNCI2025_001" title="moabb.datasets.BNCI2025_001"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2025_001</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>BNCI 2025-001 Motor Kinematics Reaching dataset.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2025_002.html#moabb.datasets.BNCI2025_002" title="moabb.datasets.BNCI2025_002"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2025_002</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>BNCI 2025-002 Continuous 2D Trajectory Decoding dataset.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Cho2017.html#moabb.datasets.Cho2017" title="moabb.datasets.Cho2017"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cho2017</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Motor Imagery dataset from Cho et al 2017.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Dreyer2023.html#moabb.datasets.Dreyer2023" title="moabb.datasets.Dreyer2023"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Dreyer2023</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Class for Dreyer2023 dataset management.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Dreyer2023A.html#moabb.datasets.Dreyer2023A" title="moabb.datasets.Dreyer2023A"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Dreyer2023A</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Class for Dreyer2023A dataset management.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Dreyer2023B.html#moabb.datasets.Dreyer2023B" title="moabb.datasets.Dreyer2023B"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Dreyer2023B</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Class for Dreyer2023B dataset management.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Dreyer2023C.html#moabb.datasets.Dreyer2023C" title="moabb.datasets.Dreyer2023C"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Dreyer2023C</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Class for Dreyer2023C dataset management.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Lee2019_MI.html#moabb.datasets.Lee2019_MI" title="moabb.datasets.Lee2019_MI"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Lee2019_MI</span></code></a>([train_run, test_run, ...])</p></td>
<td><p>BMI/OpenBMI dataset for MI.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.GrosseWentrup2009.html#moabb.datasets.GrosseWentrup2009" title="moabb.datasets.GrosseWentrup2009"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GrosseWentrup2009</span></code></a>([subjects, sessions])</p></td>
<td><p>Munich Motor Imagery dataset.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Ofner2017.html#moabb.datasets.Ofner2017" title="moabb.datasets.Ofner2017"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Ofner2017</span></code></a>([imagined, executed, subjects, ...])</p></td>
<td><p>Motor Imagery ataset from Ofner et al 2017.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.PhysionetMI.html#moabb.datasets.PhysionetMI" title="moabb.datasets.PhysionetMI"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PhysionetMI</span></code></a>([imagined, executed, subjects, ...])</p></td>
<td><p>Physionet Motor Imagery dataset.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Schirrmeister2017.html#moabb.datasets.Schirrmeister2017" title="moabb.datasets.Schirrmeister2017"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Schirrmeister2017</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>High-gamma dataset described in Schirrmeister et al. 2017.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Shin2017A.html#moabb.datasets.Shin2017A" title="moabb.datasets.Shin2017A"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Shin2017A</span></code></a>([accept, subjects, sessions, ...])</p></td>
<td><p>Motor Imagey Dataset from Shin et al 2017.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Shin2017B.html#moabb.datasets.Shin2017B" title="moabb.datasets.Shin2017B"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Shin2017B</span></code></a>([accept, subjects, sessions, ...])</p></td>
<td><p>Mental Arithmetic Dataset from Shin et al 2017.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Weibo2014.html#moabb.datasets.Weibo2014" title="moabb.datasets.Weibo2014"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Weibo2014</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Motor Imagery dataset from Weibo et al 2014.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Zhou2016.html#moabb.datasets.Zhou2016" title="moabb.datasets.Zhou2016"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Zhou2016</span></code></a>([subjects, sessions])</p></td>
<td><p>Motor Imagery dataset from Zhou et al 2016.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Stieger2021.html#moabb.datasets.Stieger2021" title="moabb.datasets.Stieger2021"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Stieger2021</span></code></a>([interval, sessions, fix_bads, ...])</p></td>
<td><p>Motor Imagery dataset from Stieger et al. 2021 <a class="reference internal" href="generated/moabb.datasets.Stieger2021.html#r9d4dafd3db21-1" id="id1"><span>[R9d4dafd3db21-1]</span></a>.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Liu2024.html#moabb.datasets.Liu2024" title="moabb.datasets.Liu2024"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Liu2024</span></code></a>([break_events, instr_events, ...])</p></td>
<td><p>Dataset <a class="reference internal" href="generated/moabb.datasets.Liu2024.html#r5c8c28f00274-1" id="id2"><span>[R5c8c28f00274-1]</span></a> from the study on motor imagery <a class="reference internal" href="generated/moabb.datasets.Liu2024.html#r5c8c28f00274-2" id="id3"><span>[R5c8c28f00274-2]</span></a>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Beetl2021_A.html#moabb.datasets.Beetl2021_A" title="moabb.datasets.Beetl2021_A"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Beetl2021_A</span></code></a>([phase, subjects, sessions])</p></td>
<td><p>Motor Imagery dataset from BEETL Competition - Dataset A.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Beetl2021_B.html#moabb.datasets.Beetl2021_B" title="moabb.datasets.Beetl2021_B"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Beetl2021_B</span></code></a>([phase, subjects, sessions])</p></td>
<td><p>Motor Imagery dataset from BEETL Competition - Dataset B.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BCIComp2020UpperLimb.html#moabb.datasets.BCIComp2020UpperLimb" title="moabb.datasets.BCIComp2020UpperLimb"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BCIComp2020UpperLimb</span></code></a>([subjects, sessions])</p></td>
<td><p>BCI Competition 2020 Track 4 — Upper-limb grasping MI (session-to-session).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Brandl2020.html#moabb.datasets.Brandl2020" title="moabb.datasets.Brandl2020"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Brandl2020</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Motor Imagery under distraction dataset from Brandl and Blankertz 2020.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Chang2025.html#moabb.datasets.Chang2025" title="moabb.datasets.Chang2025"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chang2025</span></code></a>([paradigm_type, subjects, ...])</p></td>
<td><p>Multi-paradigm upper limb rehabilitation dataset from Chang et al 2025.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Forenzo2023.html#moabb.datasets.Forenzo2023" title="moabb.datasets.Forenzo2023"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Forenzo2023</span></code></a>([task, axis, subjects, ...])</p></td>
<td><p>Motor imagery + spatial attention dataset from Forenzo & He 2023.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Gao2026.html#moabb.datasets.Gao2026" title="moabb.datasets.Gao2026"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Gao2026</span></code></a>([subjects, sessions])</p></td>
<td><p>Visual imagery EEG dataset from Gao et al 2026.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.GuttmannFlury2025_ME.html#moabb.datasets.GuttmannFlury2025_ME" title="moabb.datasets.GuttmannFlury2025_ME"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GuttmannFlury2025_ME</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Eye-BCI Motor Execution dataset from Guttmann-Flury et al 2025.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.GuttmannFlury2025_MI.html#moabb.datasets.GuttmannFlury2025_MI" title="moabb.datasets.GuttmannFlury2025_MI"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GuttmannFlury2025_MI</span></code></a>([imagined, executed, ...])</p></td>
<td><p>Eye-BCI multimodal MI/ME dataset from Guttmann-Flury et al 2025.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.HefmiIch2025.html#moabb.datasets.HefmiIch2025" title="moabb.datasets.HefmiIch2025"><code class="xref py py-obj docutils literal notranslate"><span class="pre">HefmiIch2025</span></code></a>([group, subjects, sessions, ...])</p></td>
<td><p>Hybrid EEG-fNIRS MI dataset for ICH from Shi et al 2025.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Jeong2020.html#moabb.datasets.Jeong2020" title="moabb.datasets.Jeong2020"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Jeong2020</span></code></a>([condition, subjects, sessions, ...])</p></td>
<td><p>Multimodal MI+ME dataset from Jeong et al 2020.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Kaya2018.html#moabb.datasets.Kaya2018" title="moabb.datasets.Kaya2018"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Kaya2018</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Classical motor imagery dataset with left hand, right hand, and rest.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Kumar2024.html#moabb.datasets.Kumar2024" title="moabb.datasets.Kumar2024"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Kumar2024</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Multi-session longitudinal motor imagery dataset from Kumar et al. 2024.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Liu2025.html#moabb.datasets.Liu2025" title="moabb.datasets.Liu2025"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Liu2025</span></code></a>([sessions, subjects, selected_sessions])</p></td>
<td><p>Lower limb motor imagery dataset from Liu et al 2025.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Ma2020.html#moabb.datasets.Ma2020" title="moabb.datasets.Ma2020"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Ma2020</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Motor imagery dataset from Ma et al. 2020.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Rozado2015.html#moabb.datasets.Rozado2015" title="moabb.datasets.Rozado2015"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Rozado2015</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Motor imagery BCI dataset with pupillometry augmentation.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Tavakolan2017.html#moabb.datasets.Tavakolan2017" title="moabb.datasets.Tavakolan2017"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Tavakolan2017</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Motor imagery dataset for three imaginary states of the same upper extremity.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.TrianaGuzman2024.html#moabb.datasets.TrianaGuzman2024" title="moabb.datasets.TrianaGuzman2024"><code class="xref py py-obj docutils literal notranslate"><span class="pre">TrianaGuzman2024</span></code></a>([use_all_events, subjects, ...])</p></td>
<td><p>Sit-stand motor imagery dataset from Triana-Guzman et al 2022.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Wairagkar2018.html#moabb.datasets.Wairagkar2018" title="moabb.datasets.Wairagkar2018"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Wairagkar2018</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Motor execution dataset from Wairagkar et al 2018.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Wu2020.html#moabb.datasets.Wu2020" title="moabb.datasets.Wu2020"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Wu2020</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Ear-EEG motor execution dataset from Wu et al 2020.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Yang2025.html#moabb.datasets.Yang2025" title="moabb.datasets.Yang2025"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Yang2025</span></code></a>([paradigm_type, subjects, ...])</p></td>
<td><p>Multi-day MI-BCI dataset (WBCIC-SHU) from Yang et al 2025.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Yi2025.html#moabb.datasets.Yi2025" title="moabb.datasets.Yi2025"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Yi2025</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Multi-joint upper-limb MI dataset from Yi et al. 2025.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Zhang2017.html#moabb.datasets.Zhang2017" title="moabb.datasets.Zhang2017"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Zhang2017</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Upper-limb elbow-centered motor imagery dataset (10 classes).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Zhou2020.html#moabb.datasets.Zhou2020" title="moabb.datasets.Zhou2020"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Zhou2020</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>7-day motor imagery BCI EEG dataset from Zhou et al 2021.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Zuo2025.html#moabb.datasets.Zuo2025" title="moabb.datasets.Zuo2025"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Zuo2025</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Lower-limb MI dataset for knee pain patients from Zuo et al. 2025.</p></td>
</tr>
</tbody>
</table>
</div>
</section>
<section id="imagined-speech-datasets">
<h3>Imagined Speech Datasets<a class="headerlink" href="#imagined-speech-datasets" title="Link to this heading">#</a></h3>
<p>MOABB now welcomes <strong>imagined speech</strong> datasets — subjects silently imagine
speaking words, phonemes, or phrases. They share the <code class="docutils literal notranslate"><span class="pre">imagery</span></code> paradigm
tag with motor imagery and can be decoded with the existing
<a class="reference internal" href="generated/moabb.paradigms.MotorImagery.html#moabb.paradigms.MotorImagery" title="moabb.paradigms.MotorImagery"><code class="xref py py-class docutils literal notranslate"><span class="pre">MotorImagery</span></code></a> and
<a class="reference internal" href="generated/moabb.paradigms.FilterBankMotorImagery.html#moabb.paradigms.FilterBankMotorImagery" title="moabb.paradigms.FilterBankMotorImagery"><code class="xref py py-class docutils literal notranslate"><span class="pre">FilterBankMotorImagery</span></code></a> classes.</p>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.AguileraRodriguez2025.html#moabb.datasets.AguileraRodriguez2025" title="moabb.datasets.AguileraRodriguez2025"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AguileraRodriguez2025</span></code></a>([subjects, sessions])</p></td>
<td><p>Imagined Speech EEG dataset comparing paradigm designs.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Nguyen2017_L.html#moabb.datasets.Nguyen2017_L" title="moabb.datasets.Nguyen2017_L"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Nguyen2017_L</span></code></a>([subjects, sessions])</p></td>
<td><p>Nguyen 2017 Imagined Speech - Long Words condition.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Nguyen2017_S.html#moabb.datasets.Nguyen2017_S" title="moabb.datasets.Nguyen2017_S"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Nguyen2017_S</span></code></a>([subjects, sessions])</p></td>
<td><p>Nguyen 2017 Imagined Speech - Short Words condition.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Nguyen2017_SL.html#moabb.datasets.Nguyen2017_SL" title="moabb.datasets.Nguyen2017_SL"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Nguyen2017_SL</span></code></a>([subjects, sessions])</p></td>
<td><p>Nguyen 2017 Imagined Speech - Short vs Long Words condition.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Nguyen2017_V.html#moabb.datasets.Nguyen2017_V" title="moabb.datasets.Nguyen2017_V"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Nguyen2017_V</span></code></a>([subjects, sessions])</p></td>
<td><p>Nguyen 2017 Imagined Speech - Vowels condition.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Nieto2022.html#moabb.datasets.Nieto2022" title="moabb.datasets.Nieto2022"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Nieto2022</span></code></a>([subjects, sessions])</p></td>
<td><p>Inner Speech EEG dataset (Nieto et al., 2022).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Pressel2016.html#moabb.datasets.Pressel2016" title="moabb.datasets.Pressel2016"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Pressel2016</span></code></a>([include_pronounced, subjects, ...])</p></td>
<td><p>Imagined Speech Database - Spanish vowels and commands.</p></td>
</tr>
</tbody>
</table>
</div>
</section>
<section id="erp-p300-datasets">
<h3>ERP/P300 Datasets<a class="headerlink" href="#erp-p300-datasets" title="Link to this heading">#</a></h3>
<div class="pst-scrollable-table-container"><table class="autosummary longtable table autosummary">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.BI2012.html#moabb.datasets.BI2012" title="moabb.datasets.BI2012"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BI2012</span></code></a>([training, online, subjects, ...])</p></td>
<td><p>P300 dataset BI2012 from a "Brain Invaders" experiment.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BI2013a.html#moabb.datasets.BI2013a" title="moabb.datasets.BI2013a"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BI2013a</span></code></a>([non_adaptive, adaptive, training, ...])</p></td>
<td><p>P300 dataset BI2013a from a "Brain Invaders" experiment.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.BI2014a.html#moabb.datasets.BI2014a" title="moabb.datasets.BI2014a"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BI2014a</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>P300 dataset BI2014a from a "Brain Invaders" experiment.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BI2014b.html#moabb.datasets.BI2014b" title="moabb.datasets.BI2014b"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BI2014b</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>P300 dataset BI2014b from a "Brain Invaders" experiment.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.BI2015a.html#moabb.datasets.BI2015a" title="moabb.datasets.BI2015a"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BI2015a</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>P300 dataset BI2015a from a "Brain Invaders" experiment.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BI2015b.html#moabb.datasets.BI2015b" title="moabb.datasets.BI2015b"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BI2015b</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>P300 dataset BI2015b from a "Brain Invaders" experiment.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Cattan2019_VR.html#moabb.datasets.Cattan2019_VR" title="moabb.datasets.Cattan2019_VR"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cattan2019_VR</span></code></a>([virtual_reality, ...])</p></td>
<td><p>Dataset of an EEG-based BCI experiment in Virtual Reality using P300.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2014_008.html#moabb.datasets.BNCI2014_008" title="moabb.datasets.BNCI2014_008"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2014_008</span></code></a>([subjects, sessions])</p></td>
<td><p>BNCI 2014-008 P300 dataset (ALS patients).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2014_009.html#moabb.datasets.BNCI2014_009" title="moabb.datasets.BNCI2014_009"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2014_009</span></code></a>([subjects, sessions])</p></td>
<td><p>BNCI 2014-009 P300 dataset.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2015_003.html#moabb.datasets.BNCI2015_003" title="moabb.datasets.BNCI2015_003"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2015_003</span></code></a>([subjects, sessions])</p></td>
<td><p>BNCI 2015-003 P300 dataset.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2015_006.html#moabb.datasets.BNCI2015_006" title="moabb.datasets.BNCI2015_006"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2015_006</span></code></a>([subjects, sessions])</p></td>
<td><p>BNCI 2015-006 Music BCI dataset.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2015_007.html#moabb.datasets.BNCI2015_007" title="moabb.datasets.BNCI2015_007"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2015_007</span></code></a>([subjects, sessions])</p></td>
<td><p>BNCI 2015-007 Motion VEP (mVEP) Speller dataset.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2015_008.html#moabb.datasets.BNCI2015_008" title="moabb.datasets.BNCI2015_008"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2015_008</span></code></a>([subjects, sessions])</p></td>
<td><p>BNCI 2015-008 Center Speller P300 dataset.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2015_009.html#moabb.datasets.BNCI2015_009" title="moabb.datasets.BNCI2015_009"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2015_009</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>BNCI 2015-009 AMUSE (Auditory Multi-class Spatial ERP) dataset.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2015_010.html#moabb.datasets.BNCI2015_010" title="moabb.datasets.BNCI2015_010"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2015_010</span></code></a>([subjects, sessions])</p></td>
<td><p>BNCI 2015-010 RSVP P300 dataset.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2015_012.html#moabb.datasets.BNCI2015_012" title="moabb.datasets.BNCI2015_012"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2015_012</span></code></a>([subjects, sessions])</p></td>
<td><p>BNCI 2015-012 PASS2D P300 dataset.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2015_013.html#moabb.datasets.BNCI2015_013" title="moabb.datasets.BNCI2015_013"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2015_013</span></code></a>([subjects, sessions])</p></td>
<td><p>BNCI 2015-013 Error-Related Potentials dataset.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2016_002.html#moabb.datasets.BNCI2016_002" title="moabb.datasets.BNCI2016_002"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2016_002</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>BNCI 2016-002 Emergency Braking during Simulated Driving dataset.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.BNCI2020_002.html#moabb.datasets.BNCI2020_002" title="moabb.datasets.BNCI2020_002"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BNCI2020_002</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>BNCI 2020-002 Attention Shift (Covert Spatial Attention) dataset.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.EPFLP300.html#moabb.datasets.EPFLP300" title="moabb.datasets.EPFLP300"><code class="xref py py-obj docutils literal notranslate"><span class="pre">EPFLP300</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>P300 dataset from Hoffmann et al 2008.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Huebner2017.html#moabb.datasets.Huebner2017" title="moabb.datasets.Huebner2017"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Huebner2017</span></code></a>([interval, raw_slice_offset, ...])</p></td>
<td><p>Learning from label proportions for a visual matrix speller (ERP) dataset from Hübner et al 2017 <a class="reference internal" href="generated/moabb.datasets.Huebner2017.html#r0a211c89d39d-1" id="id4"><span>[R0a211c89d39d-1]</span></a>.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Huebner2018.html#moabb.datasets.Huebner2018" title="moabb.datasets.Huebner2018"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Huebner2018</span></code></a>([interval, raw_slice_offset, ...])</p></td>
<td><p>Mixture of LLP and EM for a visual matrix speller (ERP) dataset from Hübner et al 2018 <a class="reference internal" href="generated/moabb.datasets.Huebner2018.html#r8f30fc0d0ace-1" id="id5"><span>[R8f30fc0d0ace-1]</span></a>.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Lee2019_ERP.html#moabb.datasets.Lee2019_ERP" title="moabb.datasets.Lee2019_ERP"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Lee2019_ERP</span></code></a>([train_run, test_run, ...])</p></td>
<td><p>BMI/OpenBMI dataset for P300.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Sosulski2019.html#moabb.datasets.Sosulski2019" title="moabb.datasets.Sosulski2019"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Sosulski2019</span></code></a>([use_soas_as_sessions, ...])</p></td>
<td><p>P300 dataset from initial spot study.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.ErpCore2021_ERN.html#moabb.datasets.ErpCore2021_ERN" title="moabb.datasets.ErpCore2021_ERN"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ErpCore2021_ERN</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>ERN events of the ERP CORE dataset by Kappenman et al. 2020.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.ErpCore2021_LRP.html#moabb.datasets.ErpCore2021_LRP" title="moabb.datasets.ErpCore2021_LRP"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ErpCore2021_LRP</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>LRP events of the ERP CORE dataset by Kappenman et al. 2020.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.ErpCore2021_MMN.html#moabb.datasets.ErpCore2021_MMN" title="moabb.datasets.ErpCore2021_MMN"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ErpCore2021_MMN</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>MMN events of the ERP CORE dataset by Kappenman et al. 2020.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.ErpCore2021_N2pc.html#moabb.datasets.ErpCore2021_N2pc" title="moabb.datasets.ErpCore2021_N2pc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ErpCore2021_N2pc</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>N2pc events of the ERP CORE dataset by Kappenman et al. 2020.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.ErpCore2021_N170.html#moabb.datasets.ErpCore2021_N170" title="moabb.datasets.ErpCore2021_N170"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ErpCore2021_N170</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>N170 events of the ERP CORE dataset by Kappenman et al. 2020.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.ErpCore2021_N400.html#moabb.datasets.ErpCore2021_N400" title="moabb.datasets.ErpCore2021_N400"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ErpCore2021_N400</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>N400 events of the ERP CORE dataset by Kappenman et al. 2020.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.ErpCore2021_P3.html#moabb.datasets.ErpCore2021_P3" title="moabb.datasets.ErpCore2021_P3"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ErpCore2021_P3</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>P3 events of the ERP CORE dataset by Kappenman et al. 2020.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.RomaniBF2025ERP.html#moabb.datasets.RomaniBF2025ERP" title="moabb.datasets.RomaniBF2025ERP"><code class="xref py py-obj docutils literal notranslate"><span class="pre">RomaniBF2025ERP</span></code></a>([data_folder, subjects, ...])</p></td>
<td><p>MOABB class for BrainForm event-related potentials (ERP) dataset.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Kojima2024A.html#moabb.datasets.Kojima2024A" title="moabb.datasets.Kojima2024A"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Kojima2024A</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>Class for Kojima2024A dataset management.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Kojima2024B.html#moabb.datasets.Kojima2024B" title="moabb.datasets.Kojima2024B"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Kojima2024B</span></code></a>([events, task, subjects, ...])</p></td>
<td><p>Class for Kojima2024B dataset management.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Lee2021Mobile_ERP.html#moabb.datasets.Lee2021Mobile_ERP" title="moabb.datasets.Lee2021Mobile_ERP"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Lee2021Mobile_ERP</span></code></a>([subjects, sessions, ...])</p></td>
<td><p>ERP paradigm of the Mobile BCI dataset.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Chailloux2020.html#moabb.datasets.Chailloux2020" title="moabb.datasets.Chailloux2020"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Chailloux2020</span></code></a>([task, subjects, sessions])</p></td>
<td><p>P300 BCI dataset from Chailloux Peguero et al 2020.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.GuttmannFlury2025_P300.html#moabb.datasets.GuttmannFlury2025_P300" title="moabb.datasets.GuttmannFlury2025_P300"><code class="xref py py-obj docutils literal notranslate"><span class="pre">GuttmannFlury2025_P300</span></code></a>([grid_size, ...])</p></td>
<td><p>Eye-BCI multimodal P300 speller dataset from Guttmann-Flury et al 2025.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Kaneshiro2015.html#moabb.datasets.Kaneshiro2015" title="moabb.datasets.Kaneshiro2015"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Kaneshiro2015</span></code></a>([subjects, sessions])</p></td>
<td><p>Visual object ERP dataset from Kaneshiro et al 2015.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Lee2024_AC.html#moabb.datasets.Lee2024_AC" title="moabb.datasets.Lee2024_AC"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Lee2024_AC</span></code></a>([subjects, sessions])</p></td>
<td><p>Air conditioner control experiment (10 subjects, 4 classes, 25 EEG ch).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Lee2024_BS.html#moabb.datasets.Lee2024_BS" title="moabb.datasets.Lee2024_BS"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Lee2024_BS</span></code></a>([subjects, sessions])</p></td>
<td><p>Bluetooth speaker experiment (14 subjects, 6 classes, 31 EEG ch).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Lee2024_DL.html#moabb.datasets.Lee2024_DL" title="moabb.datasets.Lee2024_DL"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Lee2024_DL</span></code></a>([subjects, sessions])</p></td>
<td><p>Door lock control experiment (15 subjects, 4 classes, 31 EEG ch).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Lee2024_EL.html#moabb.datasets.Lee2024_EL" title="moabb.datasets.Lee2024_EL"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Lee2024_EL</span></code></a>([subjects, sessions])</p></td>
<td><p>Electric light control experiment (15 subjects, 4 classes, 31 EEG ch).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Lee2024_TV.html#moabb.datasets.Lee2024_TV" title="moabb.datasets.Lee2024_TV"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Lee2024_TV</span></code></a>([subjects, sessions])</p></td>
<td><p>Television control experiment (30 subjects, 4 classes, 31 EEG ch).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_A.html#moabb.datasets.Mainsah2025_A" title="moabb.datasets.Mainsah2025_A"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_A</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study A — 6x6 checkerboard/row-column/random (13 healthy subjects).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_B.html#moabb.datasets.Mainsah2025_B" title="moabb.datasets.Mainsah2025_B"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_B</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study B — 6x6 checkerboard, multi-session (19 healthy subjects).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_C.html#moabb.datasets.Mainsah2025_C" title="moabb.datasets.Mainsah2025_C"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_C</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study C — 6x6 checkerboard with ERN (19 healthy subjects).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_D.html#moabb.datasets.Mainsah2025_D" title="moabb.datasets.Mainsah2025_D"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_D</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study D — 6x6 dynamic/row-column (17 healthy subjects).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_E.html#moabb.datasets.Mainsah2025_E" title="moabb.datasets.Mainsah2025_E"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_E</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study E — 6x6 checkerboard (8 healthy subjects).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_F.html#moabb.datasets.Mainsah2025_F" title="moabb.datasets.Mainsah2025_F"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_F</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study F — 6x6 multi-paradigm, 3 sessions (10 healthy subjects).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_G.html#moabb.datasets.Mainsah2025_G" title="moabb.datasets.Mainsah2025_G"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_G</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study G — 9x8 checkerboard/dynamic (20 healthy subjects).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_H.html#moabb.datasets.Mainsah2025_H" title="moabb.datasets.Mainsah2025_H"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_H</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study H — 9x8 checkerboard with gaze conditions (16 healthy subjects).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_I.html#moabb.datasets.Mainsah2025_I" title="moabb.datasets.Mainsah2025_I"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_I</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study I — 9x8 checkerboard/performance-based (13 healthy subjects).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_J.html#moabb.datasets.Mainsah2025_J" title="moabb.datasets.Mainsah2025_J"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_J</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study J — 9x8 performance-based/row-column (20 healthy subjects).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_K.html#moabb.datasets.Mainsah2025_K" title="moabb.datasets.Mainsah2025_K"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_K</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study K — 9x8 adaptive/checkerboard, 2 sessions (5 healthy subjects).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_L.html#moabb.datasets.Mainsah2025_L" title="moabb.datasets.Mainsah2025_L"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_L</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study L — 6x6 multi-paradigm (11 ALS subjects).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_M.html#moabb.datasets.Mainsah2025_M" title="moabb.datasets.Mainsah2025_M"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_M</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study M — 9x8 adaptive/checkerboard (21 ALS subjects).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_N.html#moabb.datasets.Mainsah2025_N" title="moabb.datasets.Mainsah2025_N"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_N</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study N — 9x8 dry/wet electrode comparison (8 ALS subjects).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_O.html#moabb.datasets.Mainsah2025_O" title="moabb.datasets.Mainsah2025_O"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_O</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study O — 9x8 supervised/checkerboard (18 ALS subjects).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_P.html#moabb.datasets.Mainsah2025_P" title="moabb.datasets.Mainsah2025_P"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_P</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study P — 9x8 predictive/non-predictive spelling (19 ALS subjects).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_Q.html#moabb.datasets.Mainsah2025_Q" title="moabb.datasets.Mainsah2025_Q"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_Q</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study Q — 6x6 color intensification (36 ALS subjects).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_R.html#moabb.datasets.Mainsah2025_R" title="moabb.datasets.Mainsah2025_R"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_R</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study R — 9x8 multi-face paradigms (20 ALS subjects).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_S1.html#moabb.datasets.Mainsah2025_S1" title="moabb.datasets.Mainsah2025_S1"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_S1</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study S1 — 9x8 face/house paradigm (10 healthy subjects).</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Mainsah2025_S2.html#moabb.datasets.Mainsah2025_S2" title="moabb.datasets.Mainsah2025_S2"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Mainsah2025_S2</span></code></a>([subjects, sessions])</p></td>
<td><p>BigP3BCI Study S2 — 9x8 house/tool paradigm (24 healthy subjects).</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Simoes2020.html#moabb.datasets.Simoes2020" title="moabb.datasets.Simoes2020"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Simoes2020</span></code></a>([subjects, sessions])</p></td>
<td><p>BCIAUT-P300 dataset for autism from Simoes et al 2020.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Speier2017.html#moabb.datasets.Speier2017" title="moabb.datasets.Speier2017"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Speier2017</span></code></a>([include_online, subjects, sessions])</p></td>
<td><p>P300 speller dataset from Speier et al 2017.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.Zhang2025.html#moabb.datasets.Zhang2025" title="moabb.datasets.Zhang2025"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Zhang2025</span></code></a>([subjects, sessions])</p></td>
<td><p>RSVP ERP dataset for authentication from Zhang et al 2025.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/moabb.datasets.Zheng2020.html#moabb.datasets.Zheng2020" title="moabb.datasets.Zheng2020"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Zheng2020</span></code></a>([subjects, sessions])</p></td>
<td><p>RSVP collaborative BCI dataset from Zheng et al 2020.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/moabb.datasets.BCIComp2020WalkingERP.html#moabb.datasets.BCIComp2020WalkingERP" title="moabb.datasets.BCIComp2020WalkingERP"><code class="xref py py-obj docutils literal notranslate"><span class="pre">BCIComp2020WalkingERP</span></code></a>([subjects, sessions])</p></td>
<td><p>BCI Competition 2020 Track 5 — ERP during walking (scalp + ear-EEG + IMU).</p></td>
</tr>
</tbody>
</table>
</div>
</section>
<section id="ssvep-datasets">