…Imagery Dataset A — transfer learning benchmark ## Overview Beetl2021-A is a preprocessed…
…Imagery Dataset B — transfer learning benchmark ## Overview Beetl2021-B is a preprocessed…
…5.0 (Mother of All BCI Benchmarks) https://github.com/NeuroTechX/moabb
…nm000129) # BETA SSVEP benchmark dataset BETA SSVEP benchmark dataset. ## Dataset Overview - **Code…
EEG recordings from a simulated driving study designed to assess fatigue-related changes in performance through EEG biomarkers. Participants completed a 60-minute driving task (six 10-minute blocks) with steering and speed control and periodic lateral perturbations. Data were collected at three sites (ARL, Teledyne, SAIC) using 64- or 256-channel BioSemi EEG systems. The dataset is part of the BCIT program and is a companion to the Calibration Driving session.
…the Mother of All BCI Benchmarks (MOABB) framework. This dataset represents EEG…
…The original benchmark is described in: Salter, Warren, Schlager et al. "emg2pose…
…SSVEP, BCI, EEG, elderly, aging, benchmark, JFPM ## References B. Liu, Y. Wang…
A BIDS conversion of a multicenter intracranial EEG (iEEG) dataset of 3-second single-channel clips for classifying graphoelements (physiological and pathological activity) and artifactual signals. Clips were recorded from stereo-EEG contacts at 5000 Hz and concatenated into runs per subject and contact. Events preserve the original labels, segment IDs, anatomy, reviewer IDs, seizure onset zone flags, and electrode types.
…1741-2552/aa8235) ## NEMAR / MOABB Benchmark Collection This BIDS-formatted dataset was…