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- Research DataDissertation Chihab2026-01-12Diese Dissertationsstudie untersucht, welche Denk- und Handlungsweisen angehende Geogra-phielehrkräfte im Kontext von Rassismus und sozialen Medien orientieren und wie diese ihre anvisierte professionelle Praxis informieren. Damit reagiert die Studie auf Desiderata hinsicht-lich Untersuchung der Bedeutung rassismusrelevanter Bildungs- und Subjektivierungsbedingungen für die geographische Lehrkräftebildung. Die Fallstudie basiert auf einer qualitativ-rekonstruktiven Analyse von Gruppendiskussionen mit Geographielehramtsstudierenden. Mithilfe der dokumentarischen Methode werden zwei kontrastierende Habitus rekonstruiert: ein Habitus der Enthaltung, der durch Dissonanzvermeidung und die Externalisierung pädagogischer Verantwortung gekennzeichnet ist, sowie ein Habitus der Involvierung, der auf die aktive Thematisierung rassistischer Gewalt zielt, dabei jedoch selbst zur Reproduktion rassistischer Verhältnisse beitragen kann. Ein ergänzender Fragebogen verweist auf die Soziogenese der Habitus und macht deutlich, dass sie wesentlich durch unterschiedliche Zugehörigkeitserfahrungen in rassistischen Ordnungssystemen geprägt sind. Die Ergebnisse liefern konzeptionelle Impulse für eine kritisch-reflexive Professionalisierung in der geographischen Lehrkräftebildung, die Rassismuserfahrungen, Logiken digitaler Öffentlichkeiten und Ambivalenzen vermeintlich gesicherter pädagogischer Handlungsmaximen als relevante Relationierungsebenen einbezieht.
27 12 - Research DataQuantifying protein homodimer affinities and the effect of molecular glues and interface residues using native mass spectrometry2025-12-19Biological processes rely on finely tuned homo- and heteromeric interactions between (biomacro)molecules. The strength of an interaction, typically given by the dissociation constant (KD), plays a crucial role in basic research and must be monitored throughout the development of drugs and agrochemicals. An ideal method for KD determination is applicable to various analytes with a large range of affinities, tolerates complex matrix compositions, does not require labeling, and simultaneously provides information on the structural integrity of the binding partners. Native mass spectrometry meets these criteria but typically struggles with homooligomeric complexes due to overlapping mass signals. To overcome this, we resolve monomer/dimer contributions to overlapping MS-peaks by separately analyzing the charge state distribution of each oligomeric species via sample dilution and covalent crosslinking. Following this approach, we show that quantitative Laser-Induced Liquid Bead Ion Desorption mass spectrometry (qLILBID-MS) accurately captures the affinities of Bovine Serum Albumin (BSA) and chemically induced dimers of Tryparedoxin (Tpx), an oxidoreductase from human pathogenic Trypanosoma brucei parasites, with various molecular glues and homodimer affinities. Conveniently, qLILBID-MS requires a fraction of sample used by other methods such as isothermal titration calorimetry (ITC) and yields previously inaccessible protein homodimer KDs in the high micromolar range, which allowed us to monitor the gradual decrease in homodimer affinity via mutation of crucial dimer interface contacts. Overall, qLILBID-MS is a sensitive, robust, fast, scalable, and cost-effective alternative to quantify protein/protein interactions, that can accelerate contemporary drug discovery workflows, e.g. the efficient screening for proximity inducing molecules like proteolysis targeting chimera (PROTACs) and molecular glues.
52 3 - Research DataTowards a critical endpoint in the valence fluctuating Eu(Rh1-xCox)2Si2 system2025-10-15We report on the successful single crystal growth of pure EuRh${_2}$Si${_2}$ and of Eu(Rh$_{1-x}$Co$_{x}$)$_2$Si$_2$ with $x\leq0.23$ by the flux method. Through Co substitution, EuRh$_2$Si$_2$ can be tuned from stable antiferromagnetism via a valence-transition state towards the valence-crossover regime. From magnetization measurements, we constructed a $B - T$ phase diagram for EuRh${_2}$Si${_2}$ comprising multiple magnetic phases and showing a sizable magnetic anisotropy within the basal plane of the tetragonal unit cell. This indicates a complex antiferromagnetic ground state for $x=0$. By applying positive chemical pressure through the substitution series Eu(Rh$_{1-x}$Co$_{x}$)$_2$Si$_2$, a sharp temperature-induced first-order phase transition is observed in magnetization, resistivity and heat capacity for \textcolor{blue}{0.081 $\leq$ $x$ $\leq$ 0.126}. The critical end point of this valence transition is located in the phase diagram in the vicinity of \textcolor{blue}{0.126 $
14 5 - Research DataDNP-enhanced magic angle spinning solid-state NMR spectroscopy to determine RNA-ligand interactions2025-10-10Understanding the molecular recognition underlying RNA-ligand complex formation is of key importance to explain RNA regulatory function of riboswitches and to support the development of low molecular weight RNA binders as starting points for RNA-targeting drugs. Here, we report magic-angle spinning solid-state NMR spectroscopic studies enhanced by dynamic nuclear polarization (MAS-DNP) to determine the molecular recognition of a ligand-RNA riboswitch complex. We benchmarked different labeling strategies for four large RNAs (70-86 nt) of the aptamer domain of a 2’deoxyguanosine-sensing riboswitch from Mesoplasma florum. Samples were either prepared by chemo-enzymatic approaches or by solid-phase chemical RNA synthesis employing different labeling schemes of riboswitches of up to 86 nucleotides. RNA-ligand complexes were prepared by addition of their cognate metabolite. We show that nucleotide- and ligand-selective labeling are a prerequisite for the MAS-DNP studies to reduce the NMR signal overlap present in such large RNAs. We further extend site-specific labeling to atom-specific labeling that allowed us to derive the structure of the ligand binding pocket extending the application of 2D-13C,15N-TEDOR experiments. The work described here opens the avenue for the investigation of large RNA-ligand complexes by MAS-DNP.
18 3 - Research DataTEI/XML encoded transcription Na_50-134 from the Arthur Schopenhauer Legacy2025-11-26This document is a TEI/XML encoded transcription of the document Na_50-134 from the Arthur Schopenhauer Legacy - 'Schopenhauer-Archive': "Bitte um Korrekturen anlässlich einer geplanten Veröffentlichung" from Carl Grimm to Arthur Schopenhauer. Transcribed by Joshua Mark, TEI encoded by Eva Lorenz (https://sammlungen.ub.uni-frankfurt.de/schopenhauer/content/titleinfo/4235485)
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- Research DataThe global water resources and use model WaterGAP v2.2e - model output driven by gswp3-w5e5 and historical setup of direct human impacts2023-10-20Trautmann, TimAckermann, SebastianCáceres, DeniseFlörke, MartinaGerdener, HelenaKynast, EllenPeiris, Thedini AsaliSchiebener, LeonieSchumacher, MaikeAssessing global freshwater resources and human water use is of value for a number of needs but challenging. The global water use and water availability model WaterGAP has been in development since 1996 and has served a range of applications such as assessments of global water resources and water stress, also under the impact of climate change, drought hazard quantification, Life Cycle Assessments, water (over)use and consequently depletion of water resources and a better understanding of terrestrial water storage variations (jointly with satellite observations). Here, the reader can download model output for the time period 1901-2019 that was computed by driving WaterGAP v2.2e by four alternative climate datasets (climate forcings) that were generated in the ISIMIP context (https://www.isimip.org) and are described in https://data.isimip.org/10.48364/ISIMIP.982724. For two climate datasets, model runs up to 2021 or 2022 are available. For comparison, output of a version of WaterGAP v2.2d that is calibrated to the same dataset of observed streamflow as WaterGAP v2.2e is provided. Each of the climate forcing-model version combinations is run in two socio-economic settings, histsoc and nosoc. In nosoc, human water use is set to zero and man-made reservoirs are assumed to be non-existant. In the paper connected to this dataset (to be submitted to Geoscientific Model Development), the newest model version, WaterGAP v2.2e is described by providing the modifications to the previous version v2.2d (Müller Schmied et al. 2021) and the corresponding changes in model output. The most important and requested model outputs (total water storage variations, streamflow and water use) are evaluated against observation data. Standard model output is described as well as the specifics of the WaterGAP contribution within the ISIMIP framework. Müller Schmied, H., Cáceres, D., Eisner, S., Flörke, M., Herbert, C., Niemann, C., Peiris, T. A., Popat, E., Portmann, F. T., Reinecke, R., Schumacher, M., Shadkam, S., Telteu, C.-E., Trautmann, T., Döll, P. (2021): The global water resources and use model WaterGAP v2.2d: Model description and evaluation. Geosci. Model Dev., 14, 1037–1079. https://doi.org/10.5194/gmd-14-1037-2021
1342 946 - Research DataThe global water resources and use model WaterGAP v2.2e - model output driven by gswp3-era5 and historical setup of direct human impacts2023-10-20Trautmann, TimAckermann, SebastianCáceres, DeniseFlörke, MartinaGerdener, HelenaKynast, EllenPeiris, Thedini AsaliSchiebener, LeonieSchumacher, MaikeAssessing global freshwater resources and human water use is of value for a number of needs but challenging. The global water use and water availability model WaterGAP has been in development since 1996 and has served a range of applications such as assessments of global water resources and water stress, also under the impact of climate change, drought hazard quantification, Life Cycle Assessments, water (over)use and consequently depletion of water resources and a better understanding of terrestrial water storage variations (jointly with satellite observations). Here, the reader can download model output for the time period 1901-2019 that was computed by driving WaterGAP v2.2e by four alternative climate datasets (climate forcings) that were generated in the ISIMIP context (https://www.isimip.org) and are described in https://data.isimip.org/10.48364/ISIMIP.982724. For two climate datasets, model runs up to 2021 or 2023 are available. For comparison, output of a version of WaterGAP v2.2d that is calibrated to the same dataset of observed streamflow as WaterGAP v2.2e is provided. Each of the climate forcing-model version combinations is run in two socio-economic settings, histsoc and nosoc. In nosoc, human water use is set to zero and man-made reservoirs are assumed to be non-existant. In the paper connected to this dataset (in review with Geoscientific Model Development), the newest model version, WaterGAP v2.2e is described by providing the modifications to the previous version v2.2d (Müller Schmied et al. 2021) and the corresponding changes in model output. The most important and requested model outputs (total water storage variations, streamflow and water use) are evaluated against observation data. Standard model output is described as well as the specifics of the WaterGAP contribution within the ISIMIP framework. Müller Schmied, H., Cáceres, D., Eisner, S., Flörke, M., Herbert, C., Niemann, C., Peiris, T. A., Popat, E., Portmann, F. T., Reinecke, R., Schumacher, M., Shadkam, S., Telteu, C.-E., Trautmann, T., Döll, P. (2021): The global water resources and use model WaterGAP v2.2d: Model description and evaluation. Geosci. Model Dev., 14, 1037–1079. https://doi.org/10.5194/gmd-14-1037-2021
814 939 - Research DataA j_eff 12 Kitaev material on the triangular lattice: The case of NaRuO22023-06-07Motivated by recent reports of a quantum disordered ground state in the triangular lattice compound NaRuO$_2$, we derive a $j_{\rm eff}=1/2$ magnetic model for this system by means of first-principles calculations. The pseudospin Hamiltonian is dominated by bond-dependent off-diagonal $\Gamma$ interactions, complemented by a ferromagnetic Heisenberg exchange and a notably \emph{antiferromagnetic} Kitaev term. In addition to bilinear interactions, we find a sizable four-spin ring exchange contribution with a \emph{strongly anisotropic} character, which has been so far overlooked when modeling Kitaev materials. The analysis of the magnetic model, based on the minimization of the classical energy and exact diagonalization of the quantum Hamiltonian, points toward the existence of a rather robust easy-plane ferromagnetic order, which cannot be easily destabilized by physically relevant perturbations.
365 40 - Research DataThe global water resources and use model WaterGAP v2.2e - daily water storage model output driven by gswp3-era5 and historical setup of direct human impacts2024-04-04Trautmann, TimAckermann, SebastianCáceres, DeniseFlörke, MartinaGerdener, HelenaKynast, EllenPeiris, Thedini AsaliSchiebener, LeonieSchumacher, MaikeAssessing global freshwater resources and human water use is of value for a number of needs but challenging. The global water use and water availability model WaterGAP has been in development since 1996 and has served a range of applications such as assessments of global water resources and water stress, also under the impact of climate change, drought hazard quantification, Life Cycle Assessments, water (over)use and consequently depletion of water resources and a better understanding of terrestrial water storage variations (jointly with satellite observations). Here, the reader can download daily model output for water storage variables for the time period 1901-2019 (2023) that was computed by driving WaterGAP v2.2e by two alternative climate datasets (climate forcings) that were generated in the ISIMIP context (https://www.isimip.org) and are described in https://data.isimip.org/10.48364/ISIMIP.982724. In the paper connected to this dataset (in review with Geoscientific Model Development), the newest model version, WaterGAP v2.2e is described by providing the modifications to the previous version v2.2d (Müller Schmied et al. 2021) and the corresponding changes in model output. Here, the single water storage compartments and terrestrial (total) water storage are provided.
342 286 - Research DataClimate forcing GSWP3-ERA5 as input for the global hydrological model WaterGAP2024-06-19This dataset contains the climate data for the 4 variables (pr, tas, rsds, rlds) to run the Python-Version of WaterGAP. For details please see the ReWaterGAP documentation (https://hydrologyfrankfurt.github.io/ReWaterGAP/).
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