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1 to 4 of 4 Results
Nov 3, 2026
Klotz, Thomas; Mamidanna, Pranav; Brandenburg, Paul; Farina, Dario; Röhrle, Oliver, 2026, "MUnitQuest Showdown Data for the Isometric Task", https://doi.org/10.18419/DARUS-6663, DaRUS, V1, UNF:6:crzMVk8wVtWIFUXRDrD/DA== [fileUNF]
This dataset contains high-density surface electromyography (HDsEMG) recordings from the Isometric Task during the MUnitQuest Showdown phase. MUnitQuest is a community-driven competition on motor unit identification methods. The data and metadata of each recording follow the standardized EMG-BIDS format. This dataset contains 100 HD-EMG recordings...
Nov 3, 2026
Klotz, Thomas; Mamidanna, Pranav; Brandenburg, Paul; Farina, Dario; Röhrle, Oliver, 2026, "MUnitQuest Showdown Data for the Dynamic Task", https://doi.org/10.18419/DARUS-6664, DaRUS, V1, UNF:6:3joPtHpoWqgretdnWGxHbg== [fileUNF]
This dataset contains high-density surface electromyography (HDsEMG) recordings from the Dynamic Task during the MUnitQuest Showdown phase. MUnitQuest is a community-driven competition on motor unit identification methods. The data and metadata of each recording follow the standardized EMG-BIDS format. This dataset contains 50 HD-EMG recordings acr...
Jun 26, 2026
Klotz, Thomas; Mamidanna, Pranav; Brandenburg, Paul; Enslin, Niklas; Rohlén, Robin; Raftery, William; Farina, Dario; Röhrle, Oliver, 2026, "MUnitQuest Familiarization Data for the Isometric Challenge", https://doi.org/10.18419/DARUS-6143, DaRUS, V2, UNF:6:poeywWkxwc9xcRuJBN3z8w== [fileUNF]
This dataset contains high-density surface electromyography (HDsEMG) recordings from the Isometric Challenge during the MUnitQuest Familiarization phase. MUnitQuest is a community-driven competition on motor unit identification methods. The data and metadata of each recording follow the standardized EMG-BIDS format. This dataset contains 100 HD-EMG...
Jun 19, 2026
Klotz, Thomas; Mamidanna, Pranav; Brandenburg, Paul; Enslin, Niklas; Rohlén, Robin; Raftery, William; Farina, Dario; Röhrle, Oliver, 2026, "MUnitQuest Familiarization Data for the Dynamic Challenge", https://doi.org/10.18419/DARUS-6144, DaRUS, V1, UNF:6:szSQ3CQc3LIITXVXyYkGTA== [fileUNF]
This dataset contains high-density surface electromyography (HDsEMG) recordings from the Dynamic Challenge during the MUnitQuest Familiarization phase. MUnitQuest is a community-driven competition on motor unit identification methods. The data and metadata of each recording follow the standardized EMG-BIDS format. This dataset contains 100 simulate...
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