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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...
JSON - 365 B - MD5: ef7b750625122ef4a6b28276f2f03918
JSON - 1.9 KB - MD5: c7c7fe1907b100ac5adc4a27dbc0d07f
Markdown Text - 1.3 KB - MD5: 26e756295f7b3059294831f842faeb06
Tabular Data - 8.2 KB - 12 Variables, 65 Observations - UNF:6:RvHZaB90pBVI3rfZsUFR/g==
Tabular Data - 1.3 KB - 4 Variables, 64 Observations - UNF:6:+J0ijGTl1m4gZEj49+CyAw==
Unknown - 8.0 MB - MD5: d8feec70c58d00cb5b4a51a68b339f73
JSON - 896 B - MD5: ca3f05addb01e7433124e07550a50614
Tabular Data - 698 B - 7 Variables, 9 Observations - UNF:6:hC+nPnoKAvG/bCLDIQoRcg==
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