31 to 40 of 120 Results
application/x-iwork-keynote-sffkey - 4.6 KB -
MD5: 3f107bf70339ebfc21884ffc9873b127
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Mar 22, 2023
Steffen, Maier, 2023, "Registered Cars and Motorized Two- and Three-wheelers in Worldwide Countries", https://doi.org/10.18419/DARUS-3378, DaRUS, V1
Interactive plot of registered cars and motorized two- and three-wheelers in worldwide countries based the data set from the "WHO Global Status Report on Road Safety 2018" of the World Health Organization. |
HTML - 3.4 MB -
MD5: d033a75e518ac7af9182165b1718e3d1
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PNG Image - 38.3 KB -
MD5: 91bc564443ca3e082b8d2f7474b9a59a
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Jan 30, 2023
Kneifl, Jonas; Rosin, David; Avci, Okan; Röhrle, Oliver; Fehr, Jörg, 2023, "Continuum-mechanical Forward Simulation Results of a Human Upper-limb Model Under Varying Muscle Activations", https://doi.org/10.18419/DARUS-3302, DaRUS, V1
This dataset provides simulation results from a high-fidelity human upper-arm finite element model under varying muscle activations and an example script to load the data. The upper arm model consists of the bones of the radius and ulna for the forearm and the humerus for the upper arm. The elbow joint that connects them is modeled as a simple hing... |
Jan 30, 2023 -
Continuum-mechanical Forward Simulation Results of a Human Upper-limb Model Under Varying Muscle Activations
Hierarchical Data Format - 7.1 GB -
MD5: cb91e0f8bb130d0e16679c5395d45987
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Jan 30, 2023 -
Continuum-mechanical Forward Simulation Results of a Human Upper-limb Model Under Varying Muscle Activations
Python Source Code - 4.5 KB -
MD5: e65d9acfc9169cd744e0a3b79b179ae3
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Jan 30, 2023 -
Continuum-mechanical Forward Simulation Results of a Human Upper-limb Model Under Varying Muscle Activations
Markdown Text - 3.3 KB -
MD5: b76662ddd03240ce9f01404119be7e61
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Jan 17, 2023
Rodegast, Philipp; Maier, Steffen; Kneifl, Jonas; Fehr, Jörg, 2023, "Simulation Data from Motorcycle Sensors in Operational and Crash Scenarios", https://doi.org/10.18419/DARUS-3301, DaRUS, V1, UNF:6:rnJlYpzgwi2nYAtNG7jBtA== [fileUNF]
This dataset provides time-dependent simulation results from high-fidelity motorcycle body crash scenarios. The set contains the angular as well as linear positions, velocities, and accelerations of different parts of the motorcycle. In addition, force and contact sensor signals are also part of the dataset. The driving scenarios include critical,... |
Tabular Data - 3.9 MB - 66 Variables, 3901 Observations - UNF:6:X2tGMGO7gqORkQ84F3OkkQ==
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