911 to 920 of 2,234 Results
Nov 3, 2026 -
MUnitQuest Showdown Data for the Dynamic Task
Tabular Data - 2.1 KB - 4 Variables, 64 Observations - UNF:6:G7O/Y/Cyhc+OwHyDlYQkiQ==
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Nov 3, 2026 -
MUnitQuest Showdown Data for the Dynamic Task
Tabular Data - 1.4 KB - 4 Variables, 64 Observations - UNF:6:Git0sHaZFGZPi9ZUkUDFSw==
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Nov 3, 2026 -
MUnitQuest Showdown Data for the Dynamic Task
Unknown - 10.5 MB -
MD5: fd0b42c24af3d28ab253aff656a3db9e
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Nov 3, 2026 -
MUnitQuest Showdown Data for the Dynamic Task
JSON - 419 B -
MD5: dcc367d132982729d8a5133b58dc6669
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Nov 3, 2026 -
MUnitQuest Showdown Data for the Dynamic Task
Tabular Data - 927 B - 7 Variables, 9 Observations - UNF:6:tm53wXmS7AOyGC2k90chkw==
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Nov 3, 2026 -
MUnitQuest Showdown Data for the Dynamic Task
JSON - 165 B -
MD5: c98160ed6d4504fbbbf0f0bf8c92ab07
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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 26, 2026 -
MUnitQuest Familiarization Data for the Isometric Challenge
Markdown Text - 1.3 KB -
MD5: f9528399bb7da1218878f7f2e16fef0f
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Jun 19, 2026 -
MUnitQuest Familiarization Data for the Isometric Challenge
JSON - 363 B -
MD5: 3866547936dff0c3415be1e5604731a3
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Jun 19, 2026 -
MUnitQuest Familiarization Data for the Isometric Challenge
JSON - 1.9 KB -
MD5: 41e70d3ab057ef1be5c57a82a234b5b4
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