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Unknown - 23.0 MB - MD5: 17a19dfa3a54ac6f20c64ff049a0ba46
JSON - 1.2 KB - MD5: 1c4a92d959b84820255eb022b1fd77a8
Tabular Data - 400 B - 7 Variables, 5 Observations - UNF:6:f8Uwq2Zufz4LT8/c8ljfbQ==
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...
JSON - 361 B - MD5: 022d3bbe38979e8d8f1dfe71e12b3440
JSON - 1.9 KB - MD5: 41e70d3ab057ef1be5c57a82a234b5b4
Markdown Text - 1.2 KB - MD5: f94534e30952293a297d1700fb5d4684
Tabular Data - 5.6 KB - 7 Variables, 122 Observations - UNF:6:Ylo6HmR5txzQHM1ljutmKA==
Tabular Data - 3.8 KB - 4 Variables, 120 Observations - UNF:6:xs5B3ufdVhss5g8DBX1lRw==
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