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
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- Research DataAI-based Monitoring of European Hamster Activity2026-02-03In order to ensure the effective conservation of the critically endangered European hamster (Cricetus cricetus), there is a necessity for the implementation of targeted conservation measures and reliable monitoring methods. This study explores the potential of employing artificial intelligence (AI) to assist with camera trap monitoring for the purpose of tracking hamster activity. To this end, a deep learning object detection model (YOLO) was trained to efficiently analyze large volumes of video data from summer 2023 with high reliability. The model achieved a weighted average F1-score of 0.93 and an accuracy of 0.93 for the detection of European hamsters, effectively differentiating them from other species. A comparison between AI-based and human evaluations confirmed that AI can reliably depict hamster activity patterns. The findings of this study suggest that European hamsters exhibit peak activity levels at dusk, with the highest peak in activity occurring around sunset. In contrast, activity levels were lowest around midday. Autocorrelation analysis revealed a biphasic activity pattern, with a secondary peak occurring approximately before sunrise. This study underscores the potential of employing artificial intelligence for long-term conservation efforts and its applicability in assessing the success of reintroduction programs.
5 7 - Research DataTEI/XML encoded transcription Na_50-412 from the Arthur Schopenhauer Legacy2026-06-02This document is a TEI/XML encoded transcription of the document Na_50-412 from the Arthur Schopenhauer Legacy - 'Schopenhauer-Archive': "Selbstverfasstes Gedicht "Was wäre wünschenswerter wohl als ganz zu siegen über das leere und so arme Leben?"" from Arthur Schopenhauer. Transcribed by Marcus Koch, TEI encoded by Hannah Völker (https://sammlungen.ub.uni-frankfurt.de/schopenhauer/content/titleinfo/4235145)
7 - Research DataTEI/XML encoded transcription Na_50-135 from the Arthur Schopenhauer Legacy2026-06-02This document is a TEI/XML encoded transcription of the document Na_50-135 from the Arthur Schopenhauer Legacy - 'Schopenhauer-Archive': "Bericht über die Veröffentlichungen seiner jüngsten Publikationen" from Carl Grimm to Arthur Schopenhauer. Transcribed by Joshua Mark and Christina Lorenz, TEI encoded by Hannah Völker (https://sammlungen.ub.uni-frankfurt.de/schopenhauer/content/titleinfo/4235479)
5 - Research DataRevealing the microscopic origin of the magnetization plateau in Na3Ni2BiO62026-05-26Recent experimental studies of the spin-1 honeycomb antiferromagnet Na3Ni2BiO6 have revealed a pronounced one-third magnetization plateau under applied magnetic fields, highlighting the presence of strong magnetic frustration and anisotropy in this material. Such behavior has been attributed to substantial bond-dependent Kitaev interactions in combination with single-ion anisotropy, placing Na3Ni2BiO6 among honeycomb compounds of interest for unconventional magnetic phases. Motivated by these observations, we present a first-principles–based analysis of the magnetic interactions in Na3Ni2BiO6. By combining density-functional calculations with microscopic modeling, we extract the relevant exchange parameters and construct an effective spin model that quantitatively reproduces both the elastic neutron-scattering spectra and the magnetization curve. The model captures the experimentally observed zero-field zigzag magnetic order, and proposes a double-zigzag state at intermediate magnetic fields, realizing the one-third magnetization plateau in a simpler way than suggested in previous works. Crucially, we show that the one-third magnetization plateau does not require Kitaev interactions; instead, it arises from the interplay of strong out-of-plane single-ion anisotropy and competing ferromagnetic nearest-neighbor J1 and antiferromagnetic third-neighbor J3 Heisenberg couplings. These results establish a consistent microscopic description of Na3Ni2BiO6 and clarify the origin of its field-induced plateau phase.
1 12 - Research DataReconstitution of glycan-driven MHC I recycling reveals calreticulin as mediator between TAPBPR and tapasin2026-05-22Protein folding in the endoplasmic reticulum (ER) relies on N-linked glycosylation and glycan remodeling to guide quality control. Major histocompatibility complex class I (MHC I) molecules, essential for adaptive immunity, undergo a specialized maturation pathway involving the peptide-loading complex (PLC), the editor TAPBPR, the UDP-glucose:glycoprotein glucosyltransferase, and the lectin chaperone calreticulin. However, how glycan-dependent mechanisms coordinate MHC I transfer between these factors has remained unclear. Using a fully reconstituted system, we show that retrograde transfer of peptide-receptive MHC I from TAPBPR to tapasin requires calreticulin recognition of monoglucosylated MHC I glycans. While calreticulin’s C-terminal acidic helix is dispensable for releasing reglucosylated MHC I from TAPBPR, it is essential for productive docking of MHC I onto tapasin. These findings reveal a glycan-surveillance mechanism that enables retrieval of suboptimally loaded MHC I molecules missed by the initial quality control at the PLC. Our work defines a glycan-dependent chaperone network, finely tuned by a combination of low-micromolar interactions between the constituents, that ensures efficient MHC I maturation and illustrates fundamental principles of ER protein quality control.
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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
1581 1065 - 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
965 997 - Research DataThe global water resources and use model WaterGAP v2.2e - daily water storage model output driven by gswp3-w5e5 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.
460 238 - 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.
438 326 - 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.
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