Our vision at the Institute for Modelling and Simulation of Biomechanical Systems (IMSB) is to use computational and experimental methods to enhance our knowledge about biomechanical systems with a particular focus on the Human System. For more information please also visit our institute's website.
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821 to 830 of 3,663 Results
JSON - 915 B - MD5: adaa1a44233c9b401fc2ec5102cd9252
Tabular Data - 739 B - 7 Variables, 9 Observations - UNF:6:N7kLcPtbkF3CmoVlzAenwA==
Tabular Data - 11.1 KB - 12 Variables, 98 Observations - UNF:6:GrI2nRMlJ70DJm+2quRdZA==
Tabular Data - 2.3 KB - 4 Variables, 97 Observations - UNF:6:c02wKmopEpqI3J+bq/uX0g==
Unknown - 17.5 MB - MD5: e5c4fdf6910318405830dcc27a797cfd
JSON - 1.1 KB - MD5: 25d4e2c20a2aafb190c7389306937d1c
Tabular Data - 654 B - 7 Variables, 9 Observations - UNF:6:p+lzB9d/n/BvGagP+0xAfg==
Nov 3, 2026 - MUnitQuest Algorithm Challenge
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...
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