11 to 20 of 36 Results
Emmert, Simon; Class, Holger; Davis, Katherine; Gerlach, Robin, 2020, "Replication data for "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study"", https://doi.org/10.18419/darus-636, DaRUS, V1, UNF:6:etoZeSymT82caAlH+cVtVA== [fileUNF]
This contains the generated DuMuX model output (VTK files), extracted output (Python script) and plots (png) for the publication "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study" in International Jour... |
Jul 21, 2020 - PINN Dynamic System
Praditia, Timothy, 2020, "Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-634, DaRUS, V1
This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy dataset). These four files correspond to four different regularization methods. |
Jul 21, 2020 - PINN Dynamic System
Praditia, Timothy, 2020, "Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-633, DaRUS, V1
This dataset contains two .mat files, one pre-processed (direct simulation results) and the other one is with added noise. The simulated problem is a thermochemical energy storage problem using CaO/Ca(OH)2 as the material choice. This dataset is used as input-output data pairs ne... |
Müller, Christoph, 2020, "SFB/Transregio 161 Data Management Plan 2019-2023", https://doi.org/10.18419/darus-632, DaRUS, V1
The participating universities in SFB/Transregio 161 acknowledge the general importance of research data management as a vital issue for all of their work and provide increasing central support for long-term accessibility and reusability of data, documentation of methods and tool... |
Jun 16, 2020 - Expansin Engineering Database
Lohoff, Caroline, 2020, "Expansin domains in CBM63 sequences", https://doi.org/10.18419/darus-625, DaRUS, V2, UNF:6:p+wfgXpfeyT0/kJm49wLTA== [fileUNF]
The occurrence of N- and C-terminal expansin domains in CBM63 sequences from the CAZy database. Protein sequences are represented by NCBI accessions. Expansin domains were annotated with the hmmscan command from the HMMER software package. The hits were filtered by a minimal doma... |
Jun 16, 2020 - EICPModelCalibration
Hommel, Johannes, 2020, "EICP Model Calibration", https://doi.org/10.18419/darus-796, DaRUS, V1
EICP Model Calibration. Content: 1 excel spreadsheet with the experimental data 4 different model calibration sets in each .tar file: SorptionCoefficientsOnlyFitted.tar for the case where only the sorption coefficients of urease are fitted. SorptionCoefficientsAndConcentrationsFi... |
Jun 1, 2020 - Glycoside Hydrolase 19 Engineering Database
Orlando, Marco, 2020, "Profile hidden Markov models of the Glycoside Hydrolase 19 Engineering Database", https://doi.org/10.18419/darus-803, DaRUS, V1
A starting alignment was built if other sequences with a known PDB structure were available, by performing a GH19 domain structure-based alignment generated through the mmaker command implemented in ChimeraX. Other seed sequences in the same superfamily were added to this fixed s... |
Jun 1, 2020 - Glycoside Hydrolase 19 Engineering Database
Orlando, Marco, 2020, "Seed sequences for the Glycoside Hydrolase 19 Engineering Database", https://doi.org/10.18419/darus-804, DaRUS, V1
Query sequences for the individual BLAST searches used to initialize the Glycoside Hydrolase 19 Engineering Database (GH19ED, https://gh19ed.biocatnet.de/). |
Jun 1, 2020 - Glycoside Hydrolase 19 Engineering Database
Orlando, Marco, 2020, "GraphML files for protein sequence networks of glycoside hydrolase 19 homologues", https://doi.org/10.18419/darus-802, DaRUS, V1
GraphML files for undirected weighted graphs with nodes that represent protein sequences of glycoside hydrolase 19 homologues. Protein sequences were clustered by a threshold of 90% sequence identity to derive representative sequences. Pairwise sequence identity between two seque... |
Bruder, Valentin; Müller, Christoph; Frey, Steffen; Ertl, Thomas, 2020, "Runtime performance measurements of interactive visualisation algorithms", https://doi.org/10.18419/darus-810, DaRUS, V1
Runtime performance measurements for GPU-based direct volume rendering and GPU-based raycasting of spherical particles on ten different discrete graphics processing units from AMD and NVIDIA. The data set at hand systematically evaluates typical factors influencing performance of... |
