Goethe University Data Repository (GUDe)
The archiving and publication platform for scientific research data at Goethe University Frankfurt.
The Goethe University Data Repository (GUDe) provides a platform for its members to electronically archive, share, and publish their research data. GUDe is jointly operated by the University Library and the University Data Center of the Goethe University. The metadata of all public content is freely available and indexed by search engines as well as scientific web services. GUDe follows the FAIR principles for long-term accessibility (minimum 10 years), allows for reliable citation via DOIs as well as cooperative access to non-public data and operates on DSpace-CRIS v7.
If you have any questions regarding the use of GUDe, please consult the user documentation.
Research Data
59
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176
Projects
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People
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Recent Additions
- Research DataEnergy Transfer Booster: How a Leaving group controls the excited state pathway within a caging BASHY-BODIPY dyad - All spectrocopic and theoretical data2024-12-19All spectroscopic and theoretical data from the manuscript are available.
32 4 - Research DataData for the figures of the manuscript: A view on recent ice-nucleating particle intercomparison studies: Why the uncertainty of the activation conditions matters2024-12-02The data file contains an excel sheet entailing the data that was used to produce the figures of the manuscript: "A view on recent ice-nucleating particle intercomparison studies: Why the uncertainty of the activation conditions matters", which will be submitted to the journal "Atmospheric Measurement Techniques". As the heterogeneous nucleation of ice-nucleating particles (INPs) is highly sensitive to the activation conditions, small changes in the nucleation temperature may result in significantly different numbers of activated INPs. In the manuscript we investigate the effect of errors in the temperature measurement of INP counters on the reported INP concentration. Further, we compare the uncertainty resulting from the temperature error to differences observed in recent INP intercomparison studies.
35 5 - Research DataInterconnected renormalization of Hubbard bands and Green's function zeros in Mott insulators induced by strong magnetic fluctuations2024-10-10We analyze the role of spatial electronic correlations and, in particular, of the magnetic fluctuations in Mott insulators. A half-filled Hubbard model is solved at large strength of the repulsion 𝑈 on a two-dimensional square lattice using an advanced diagrammatic approach capable of going beyond Hartree-Fock and single-site dynamical mean-field theories. We show that at high temperatures, when the magnetic fluctuations are weak, the electronic self-energy of the system is mainly local and is well reproduced by the atomic (Hubbard-I) approximation. Upon lowering the temperature toward the magnetically ordered phase, the nonlocality of the self-energy becomes crucial in determining the momentum dispersion of the Hubbard bands and the Green's function zeros. We therefore establish a precise link between Luttinger surface, nonlocal correlations and spectral properties of the Hubbard bands.
18 25 - Research DataRadiographic Density and Viscosity Measurements of Sulfur2024-11-07This dataset includes the data for liquid sulfur density and viscosity. Both properties were measured at the constant pressure of 90 bar, the pressure of the atmosphere of Venus at its surface. A proton microscope at GSI (PRIOR-II) and an X-ray radiography setup at Ghent University (HECTOR) were used for these measurements.
38 14 - Research DataAdditional WaterGAP v2.2e Model Outputs for Climate Change Impact Assessment on Global Water Resources2024-10-30Jackson, LorenzAssessing 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 periods 1850 to 2014 (historical) and 2015 to 2100 (SSP126, SSP585) that was computed by driving WaterGAP v2.2e by 5 GCM input datasets (climate forcings). Though not part of the official ISIMIP3b repository, these datasets adhere to ISIMIP guidelines and are stored here to support replication of analyses conducted in Lorenz Jackson's master’s thesis (2024) regarding potential future climate change impacts on global water resources (for details see the model description paper of v2.2e, currently accepted 10.5194/gmd-2023-213).
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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
432 266 - 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.
331 36 - Research DataSection-Type Constraints on the Choice of Linguistic Mechanisms in Research Articles: A Corpus-Based Approach2023This thesis investigates the structure of research articles in the field of Computational Linguistics with the goal of establishing that a set of distinctive linguistic features is associated with each section type. The empirical results of the study are derived from the quantitative and qualitative evaluation of research articles from the ACL Anthology Corpus. More than 20,000 articles were analyzed for the purpose of retrieving the target section types and extracting the predefined set of linguistic features from them. Approximately 1,100 articles were found to contain all of the following five section types: abstract, introduction, related work, discussion, and conclusion. These were chosen for the purpose of comparing the frequency of occurrence of the linguistic features across the section types. Making use of frameworks for Natural Language Processing, the Stanford CoreNLP Module, and the Python library SpaCy, as well as scripts created by the author, the frequency scores of the features were retrieved and analyzed with state-of-the-art statistical techniques. The results show that each section type possesses an individual profile of linguistic features which are associated with it more or less strongly. These section-feature associations are shown to be derivable from the hypothesized purpose of each section type. Overall, the findings reported in this thesis provide insights into the writing strategies that authors employ so that the overall goal of the research paper is achieved. The results of the thesis can find implementation in new state-of-the-art applications that assist academic writing and its evaluation in a way that provides the user with a more sophisticated, empirically based feedback on the relationship between linguistic mechanisms and text type. In addition, the potential of the identification of text-type specific linguistic characteristics (a text-feature mapping) can contribute to the development of more robust language-based models for disinformation detection.
231 9 - 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 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
207 243 - 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
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