1 to 10 of 236 Results
Gil Pérez, Marta; Zechmeister, Christoph; Dambrosio, Niccolo; Rongen, Bas; Menges, Achim; Knippers, Jan, 2024, "Material Testing Data for Coreless Filament Winding Using Small-Scale, Star-Type Specimens", https://doi.org/10.18419/darus-4358, DaRUS, V1, UNF:6:i+7QKvYQfS2JkcEZo8B5mg== [fileUNF]
To understand the fabrication influence on mechanical properties and to compare different material combinations, 5 star-type composite specimens were tested. Each specimen was fabricated using coreless filament winding (CFW) and exhibits a bundle cross-section of 20mm. The star s... |
Aug 12, 2024 - Amplicon based bisulfite NGS data
Jeltsch, Albert; Bashtrykov, Pavel; Rajaram, Nivethika, 2024, "NGS data related to Rajaram et al.: Allele specific DNA demethylation ...", https://doi.org/10.18419/darus-4230, DaRUS, V2
Method overview To achieve targeted locus and allele-specific DNA demethylation, HEK293 cells were transfected with two plasmids. One plasmid contains, dCas9 fused to a SunTag with five repeats of the GCN4 peptide, separated by 22 aa long linkers, and scFv-fused TET1CD, as well a... |
Aug 2, 2024 - DBTL-Data
Hägele, Lorena; Takors, Ralf, 2024, "Getting the right clones in an automated manner: an alternative to sophisticated colony-picking robotics", https://doi.org/10.18419/darus-4355, DaRUS, V1
In recent years, the Design-Build-Test-Learn (DBTL) cycle has become a key concept in strain engineering. Modern biofoundries enable automated DBTL cycling using robotic devices. However, both highly automated facilities and semi-automated facilities encounter bottlenecks in clon... |
Jul 30, 2024 - Visualisierungsinstitut der Universität Stuttgart
Gralka, Patrick; Müller, Christoph; Heinemann, Moritz; Reina, Guido; Weiskopf, Daniel; Ertl, Thomas, 2024, "Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes"", https://doi.org/10.18419/darus-4256, DaRUS, V1, UNF:6:+e/WFL9E6WB+2FvGNOvcGA== [fileUNF]
Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes". Contains the aggregated energy consumption data from the experiments in the paper. The application under test was MegaMol with two OpenGL-based sphere rasterization rendering methods (data static on G... |
Ruf, Matthias; Steeb, Holger, 2024, "In situ micro-XRCT data set of an open-cell polyurethane foam sample under uniaxial compression load", https://doi.org/10.18419/darus-3010, DaRUS, V1, UNF:6:uDIvFcZaJFdGVoODn5h7UA== [fileUNF]
This dataset contains seven micro X-Ray Computed Tomography (micro-XRCT) scan data sets (projection, reconstructed, and segmented images, respectively) of an open-cell reticulated Polyurethane (PUR) foam specimen with 10 pores per inch under different uniaxial deformation states.... |
Jul 25, 2024 - Dissertation Reiff
Reiff, Colin, 2024, "Prozessparameter und Farbwerte für einen Laserprozess auf Edelstahl", https://doi.org/10.18419/darus-4338, DaRUS, V1
Bei diesem Versuch wurde eine Edelstahlplatte mit unterschiedlichen Prozessparametern eines Lasersystems belichtet und die resultierende Farbe mit einem Mikroskop ausgewertet. Die zentralen Komponenten der Laseranlage sind ein Galvanometerscanner (MINISCAN III mit einer Strahlein... |
Grunenberg, Lars; Kessler, Christopher; Teh, Tiong Wei; Schuldt, Robin; Heck, Fabian; Kästner, Johannes; Gross, Joachim; Hansen, Niels; Lotsch, Bettina V., 2024, "Supplementary material for 'Probing Self-Diffusion of Guest Molecules in a Covalent Organic Framework: Simulation and Experiment'", https://doi.org/10.18419/darus-3269, DaRUS, V1, UNF:6:vHsUiLwzEUUMiOsYM8xu+Q== [fileUNF]
This dataset contains input files and results from Grand Canonical Monte Carlo (GCMC) adsorption simulation and Molecular Dynamics (MD) Simulation. All data is presented in a jupyter notebook and for a fast overview without executing the notebook also as PDF-file. Furthermore the... |
Jose, Basil; Hampp, Fabian, 2024, "Code for training and using the spray segmentation models", https://doi.org/10.18419/darus-4147, DaRUS, V1
This dataset contains the necessary code for using our spray segmentation model used in the paper, Machine learning based spray process quantification. More information can be found in the README.md. |
Jun 20, 2024 - SFB 1244 "Adaptive skins and structures for the built environment of tomorrow"
Stiefelmaier, Jonas, 2024, "D1244 sensor data (November 2022 - May 2023)", https://doi.org/10.18419/darus-3453, DaRUS, V1, UNF:6:h59l2diKJntGVWhCWcKZNQ== [fileUNF]
General information: This dataset contains measurements from the adaptive high-rise demonstrator building D1244, built in the scope of the CRC1244. This 36m high building is equipped with 24 hydraulic actuators providing the basis for its structural adaptation. Strain gauges, pre... |
Jun 20, 2024 - SFB 1244 "Adaptive skins and structures for the built environment of tomorrow"
Stiefelmaier, Jonas, 2024, "D1244 sensor data (June 2023)", https://doi.org/10.18419/darus-3545, DaRUS, V1, UNF:6:h59l2diKJntGVWhCWcKZNQ== [fileUNF]
General information: This dataset contains measurements from the adaptive high-rise demonstrator building D1244, built in the scope of the CRC1244. This 36m high building is equipped with 24 hydraulic actuators providing the basis for its structural adaptation. Strain gauges, pre... |
