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Tabular Data - 2.1 KB - 4 Variables, 64 Observations - UNF:6:G7O/Y/Cyhc+OwHyDlYQkiQ==
Tabular Data - 1.4 KB - 4 Variables, 64 Observations - UNF:6:Git0sHaZFGZPi9ZUkUDFSw==
Unknown - 10.5 MB - MD5: fd0b42c24af3d28ab253aff656a3db9e
JSON - 419 B - MD5: dcc367d132982729d8a5133b58dc6669
Tabular Data - 927 B - 7 Variables, 9 Observations - UNF:6:tm53wXmS7AOyGC2k90chkw==
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...
Markdown Text - 1.3 KB - MD5: f9528399bb7da1218878f7f2e16fef0f
JSON - 363 B - MD5: 3866547936dff0c3415be1e5604731a3
JSON - 1.9 KB - MD5: 41e70d3ab057ef1be5c57a82a234b5b4
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