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
111
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181
Projects
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165
Recent Additions
- Research DataAssessing Groundwater Drought Hazard in Groundwater Depletion Regions: Recommendations for Large-scale Drought Early Warning Systems - Data set2024-08-14In groundwater depletion (GWD) regions, negative trends in groundwater storage (GWS) are problematic for groundwater drought detection, since they mask climate-induced drought signals. As this is not yet considered in any large-scale drought early warning system (LDEWS), we used GWS from the global hydrological model WaterGAP 2.2e to investigate, for the first time at the global scale, how groundwater drought can best be quantified in GWD regions. We analyzed two methods: 1) Linear detrending of monthly GWS time series and 2) analysis of naturalized GWS computed by assuming no human water use. We found that linear detrending is unsuitable for global-scale groundwater drought monitoring and forecasting as even small deviations from a pronounced linear trend can lead to a systematic over- and underestimation of the drought hazard. In contrast, indicators from naturalized GWS can identify climate-induced GWS anomalies. Here, the reader can download 1) monthly time series of GWS_nat during 1980-2019, 2) groundwater drought hazard indicators assessed in the study, 3) the R scripts for computing the indicators and other data (including required input data), and 4) WaterGAP-related data (e.g., landmask, big cities), and other meta data (e.g., GWD grid cells and LTC grid cells). WaterGAP 2.2e model output from an anthropogenic model run is available at https://doi.org/10.25716/GUDE.0TNY-KJPG.
10 3 - Research DataPhotographs of the reconnaissance survey 20172025-05-12This Digital Object comprises a series of photographs taken during a joint reconnaissance survey conducted by the Frobenius Institute and the Université de N’Djamena in Kanem, Chad, in March 2017. Funded by the German Research Foundation (DFG), the survey was a prelude to the project ‘The Lake Chad Region as a Crossroads’ (2019-2025). The photographs document the survey participants, archaeological fired-brick sites, a sondage, artefacts, and the surrounding landscape.
2 14 - Research DataSingle crystal growth and physical characterization to fine tune YbIn1−xTxCu4 (T = Au, Ag) towards the critical endpoint of the valence transition2025-05-05Pure as well as Ag- and Au-substituted YbInCu$_4$ single crystals were structurally and chemically characterized and investigated by means of heat capacity, magnetization, resistivity and ultrasonic measurements. We studied the influence of different compositions of the initial melt as well as of Au and Ag substitutions on the valence change and investigated whether this change occurs via a first-order phase transition or via crossover. We constructed a phase diagram of YbInCu$_4$ as a function of various substitutions and show that the position of the critical endpoint of the valence transition depends on the substituent and on the conditions under which the samples were grown. Multiple thermal cycles through the first-order transition lead to a significant modification of the physical properties which clearly demonstrated the influence of defects in substituted YbInCu$_4$.
11 2 - Research DataDataset from "Seasonal analysis of organic aerosol composition resolves anthropogenic and biogenic sources at a rural background station in central Europe"2025-05-08Organic aerosol (OA) has a significant impact on Earth’s climate and human health, while its chemical composition remains largely unknown. A detailed analysis of the chemical composition of particulate matter (PM) can identify origins, sources and transformation pathways and reveal mitigation potential for the anthropogenic organic fraction. Here, we follow a top-down molecular resolution approach of source attribution of organic compounds in PM2.5 at a rural background station in central Europe. One year of PM filters were measured using ultra high-performance liquid chromatography coupled to electrospray ionisation high-resolution Orbitrap mass spectrometry. Non-target analysis detected over 6,000 compounds, which hierarchical cluster analysis separated into a biogenic and an anthropogenic compound cluster. Compounds of the biogenic cluster make up a large part of SOA during summer, indicating strong local influence by the vegetation. Anthropogenic compounds are relatively enriched during colder conditions, with temporarily strong transport of air pollution. Concentration-weighted trajectories show the air mass origins of these pollution events and allow for an interpretation of potential sources.
20 3 - Research DataNMR structure and dynamics of the stem loop II motif (s2m) from the Omicron variant of SARS-CoV-22025-04-30The stem-loop-II motif (s2m) is a conserved viral RNA element located in the 3’UTR of different viruses including SARS-CoV-2. High resolution 3D structural data for s2m is only available for the fundamentally different SCoV-1 version and difficult to access for SARS-CoV-2 due to the highly dynamic nature of the RNA element. With the omicron variant a large deletion occurred for s2m resulting in a relatively short hairpin with an apical pentaloop. We attempted to determine the NMR solution structure of s2m_omicron by including CCRs and J-coupling derived dihedral restraints in addition to NOE distance restraints. Surprisingly, relatively high 1H,13C heteronuclear NOE values, averaged ribose 3JHH-couplings (H1’H2’; H3’H4’) and dipole(H1’-C1’) dipole(H6/8-C6/8)-CCRs hinted towards significant dynamics for the small pentaloop making structure calculations solely relying on NMR data insufficient. To address this problem, we performed MD-simulations with the NMR structure bundle as a starting point and applied BME reweighting to refine the ensemble with the 3J-coupling data. Our results provide a detailed view of the conformational dynamics of the omicron variant of s2m characterized by different stacking patterns, ribose repuckering and overall heterogeneity of the torsion angles for the loop nucleotides. Strikingly, despite the deletion of the initial nonaloop, as present in the Wuhan and Delta variants of s2m, a dynamic UAC triplet is conserved at the tip of the pentaloop hinting towards a possible connection to the still unknown function of the RNA element.
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Most viewed
- 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
756 440 - 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
401 404 - 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.
339 37 - 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.
244 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
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