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Jan 17, 2023 - Institute of Microbiology
Funaro, Daniele Pasquale, 2023, "Particle area analysis of crystals formed via urease-dependent, microbially induced calcite precipitation (MICP) in a microfluidic cell", https://doi.org/10.18419/DARUS-3298, DaRUS, V1
Note: This dataset belongs to the master’s thesis “Investigation of urease-dependent, microbially induced calcite precipitation by Sporosarcina pasteurii” (see below). The chapters of interest regarding this dataset are chapter 2.7 (method), 3.5 (results) and 4.5 (discussion). Folder content: This dataset is stored in three separate folders. The re... |
Jan 17, 2023 -
Particle area analysis of crystals formed via urease-dependent, microbially induced calcite precipitation (MICP) in a microfluidic cell
ZIP Archive - 8.3 GB -
MD5: 7f1bf76eb52f2f2db51e7655494f56a8
Images and results of the particle analysis of the crystals formed by MICP due to 1,5 M urea and CaCl2 |
Jan 17, 2023 -
Particle area analysis of crystals formed via urease-dependent, microbially induced calcite precipitation (MICP) in a microfluidic cell
ZIP Archive - 6.8 GB -
MD5: 688dbc512fcbf76431df32ffc23ba69a
Images and results of the particle analysis of the crystals formed by MICP due to 3 M urea and CaCl2 |
Jan 17, 2023 -
Particle area analysis of crystals formed via urease-dependent, microbially induced calcite precipitation (MICP) in a microfluidic cell
Adobe PDF - 89.9 MB -
MD5: 4494fc1cfa7752a15a20ee0b81aeded3
Master's thesis |
Jan 17, 2023 -
Particle area analysis of crystals formed via urease-dependent, microbially induced calcite precipitation (MICP) in a microfluidic cell
ZIP Archive - 6.0 KB -
MD5: c459192cb10df97f967bb72d3a984cb9
Used scripts to analyze the particle areas of the formed crystals via MICP |
Jan 17, 2023 - PN 7-6
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,... |