Software-driven RDM (sdRDM), a generic and extensible bottom-up research data management concept and its application in biocatalysis and beyond.
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151 to 160 of 187 Results
XML - 102.7 KB - MD5: a4108b374f9a54edc6396a2efc2691a2
Oct 28, 2022 - FAIR Fluids
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of simulated aqueous glycerol mixtures", https://doi.org/10.18419/DARUS-3113, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experiment and simulation was demonstrated for two binary mixtures, methanol...
XML - 32.9 KB - MD5: c87b7b19bcb5f9c3c7259f3fdde8a727
Jun 9, 2022 - SFB 1333 A4 - Bruckner group
Giess, Torsten; Itzigehl, Selina; Range, Jan Peter; Bruckner, Johanna R.; Pleiss, Jürgen, 2022, "Data for: FAIR and scalable management of small-angle X-ray scattering data", https://doi.org/10.18419/DARUS-2842, DaRUS, V1
This dataset contains small-angle X-ray scattering (SAXS) measurements on various octyltrimethylammonium bromide (OTAB)/water and octyltrimethylammonium chloride (OTAC)/water mixtures at different mass fractions and temperatures, as well as analysis and visualization data thereof. The data and metadata are contained within an archive adhering to th...
ZIP Archive - 19.1 MB - MD5: b8450cff6b02da9cf7fe60041bc97f1d
Feb 15, 2022 - EnzymeML at work
Pinto, Maria Filipa, 2022, "Catalysis of L-cysteine by IscS in the presence of IscU", https://doi.org/10.18419/DARUS-2483, DaRUS, V1
Measured was the reaction from cysteine to alanine by the Cysteine desulfurase, for six different initial concentrations of cysteine. The data consists of three data points over the course of 2.5 minutes for alanine. Additionally, the concentration of cysteine over time was calculated from the given values, for the later modelling.
Jupyter Notebook - 48.9 KB - MD5: f35f461622c4204a4e279458bccd14ce
Used to generate an InterferEnzy file from an OMEX EnzymeML archive, which was the sent to the modeling platform to estimate the parameters.
Jupyter Notebook - 55.2 KB - MD5: 12615450c9a703b35f21a3e9af6f2a4f
Used to model the given OMEX EnzymeML archive using the Python package lmfit.
Plain Text - 370 B - MD5: 679c41f97de6f72684385e95865cb715
Text file that is used as input for InterferEnzy
Unknown - 6.5 KB - MD5: ef8907a79459d27a988be27c5a245a4c
OMEX EnzymeML archive that was generated from the data using the given spreadsheet.
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