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Standardized Schoeller Diagrams with Matlab - The Plotting Tool
No full textWater analyses typically result in numerous characteristic values. The bunch
of parameters hamper temporal or spatial comparisons of different samples. In
order to facilitate the evaluation and interpretation of hydrochemical data,
hydrogeologists use various special diagrams. One of them is the Schoeller
diagram, in which the concentrations of different chemical species are plotted
on logarithmic scales. Entries of an analysis are connected and form a
characteristic signature. In the Schoeller diagram, parallel or subparallel
signatures indicate relatedness of waters. Here we present the idea of
standardized Schoeller diagrams: different logarithmic axes are shifted with
respect to each other so that the signatures of a selectable sample forms a
straight line.
For this application, we have developed a plot tool that allows standardized
Schoeller diagrams, such as the example above, to be plotted with minimal
effort and only one command in the Matlab programming environment. All
required files, including the program code of the plot command, a detailed
tutorial, as well as sample commands for all plots of the tutorial can be
found in this collection:
User manual: Standardized Schoeller Diagrams with Matlab - A User Manual.pdf
Main code file: plotSchoeller.m
Example commands of all figures in the manual: createAllFigures.m
Example dataset used in the manual: ExampleDataSet.xls
interSensFoam
No full textThe repository contains an extension of the interFoam code from the OpenFOAM library, extended by sensitivity equations. The sensitivity equations are simultaneously solved to the primal state equations. The calculated sensitivities are used for derivative-based optimization tasks.First versio
Darmstadt engine flow bench boundary conditions
No full textThis set contains the boundary condition data of the Darmstadt engine air flow bench measurements. Among other things, pressure, temperature, and mass flow rate data are included
Figure S1
No full textXRD of V4C3Tx aerogel, multi-layer V4C3 MXen, V4AlC3 MAX phase, SSA aerogel derived oxide and ISA aerogel derived oxid
Qualitative Petrothermal Potential Assessment based on a Stratigraphic Grid of the Hessian Mid-German Crystalline High
Get PDFLarge scaled geothermal potential assessments often require geological 3D-structural models of the area of interest. For assessing petrothermal potentials of the Hessian basement, a regional scaled geological 3D-structural model of the hessian Mid German Crystalline High (Weinert et al. 2022a) was created within the scope of the project Hessen 3D 2.0 (Federal Ministry for Economic Affairs and Energy; funding number:0325944A). The spatial confinement is defined by the scope of Hessen 3D 2.0, and therefore, the lateral extension of the basement model is constrained within the (simplified) boarder of federal state of Hesse. Vertical constraints are set to 400 m b.g.l. and a maximum model depth of 6,000 m below sea level.
A qualitative petrothermal potential assessment is calculated based on a SKUA-GOCAD SGrid of the Hessian Mid-German Crystalline High (Weinert et al. 2023). In total, the SGrid contains 8 modeling units comprising (I) Frankenstein complex, (II) Flasergranitoid zone, (III) Weschnitz pluton, (IV) Tromm pluton, (V) Heidelberg granites, (VI) granites and granodiorites, (VII) diorites and gabbros and (VIII) metamorphic rocks.
Data in the repository is provided as GOCAD-SKUA stratigraphic grid in .sg-file format. The provided SGrid is parameterized and contains the following properties: (I) results of a fault zone related, qualitative potential assessment and (II) results of a fracture network related, qualitative potential assessment
The Proteomic Composition and Organization of Constitutive Heterochromatin in Mouse Tissues
No full textPericentric heterochromatin (PCH) forms spatio-temporarily distinct compartments and affects chromosome organization and stability. Albeit some of its components are known, an elucidation of its proteome and how it differs between tissues in vivo is lacking. Here, we find that PCH compartments are dynamically organized in a tissue-specific manner possibly reflecting compositional differences. As mouse brain and liver exhibit very different PCH architecture, we isolated native PCH fractions from these tissues, analyzed their protein compositions using quan-titative mass spectrometry, and compared them to identify common and tissue-specific PCH pro-teins. Besides heterochromatin-enriched proteins, the PCH proteome includes RNA/transcription and membrane-related proteins, which showed lower abundance than PCH-enriched proteins. Thus, we applied a cut-off of PCH-unspecific candidates based on their abundance and validated PCH-enriched proteins. Amongst the hits, MeCP2 was classified into brain PCH-enriched pro-teins, while linker histone H1 was not. We found that H1 and MeCP2 compete to bind to PCH and regulate PCH organization in opposite ways. Altogether, our workflow of unbiased PCH iso-lation, quantitative mass spectrometry, and validation-based analysis allowed the identification of proteins that are common and tissue-specifically enriched at PCH. Further investigation of select-ed hits revealed their opposing role in heterochromatin higher order architecture in vivo
A residual-based non-orthogonality correction for force-balanced unstructured Volume-of-Fluid methods - Data
No full textA residual-based non-orthogonality correction for force-balanced unstructured Volume-of-Fluid methods - Dat
GRAFI-r: Gravure printing finger instability dataset (raw data)
No full textThe GRAFI-r dataset contains high speed videos of finger instabilities during
fluid splitting in gravure printing. The high speed videos were recorded on a
custom-built gravure printing research platform, which enables optical access
to the printing nip. The printing nip is the line of contact between the
engraved printing cylinder and the impression roller. The aim of the dataset
is the in-situ visualization and temporal analysis of hydrodynamic pattern
formation phenomena during fluid transfer. The influence of the engraving
raster on the finger instability can be investigated. The GRAFI-r dataset
comprises raw video data whereas processed video data can be found in the
related [GRAFI-p](https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3848)
dataset.
GRAFI-r dataset stands for **gra** vure printing **f** inger **i** nstability
dataset. The suffix -r stands for **r** aw data.
Metadata for the GRAFI-r dataset can be found in the dissertation of Pauline
Rothmann-Brumm (2023) and in the provided README-file (last item in dataset,
click 'show more')
Molecular transport and water condensation inside mesopores with wettability step gradients: Public Data
No full textPowerPoint File of the public data of the paper, including responsive Origin Data. (In addition, there is a zip-archive including the raw data for the figures.