1 to 6 of 6 Results
May 2, 2024
Kurtz, Felix; Dauwe, Tim Niklas; Yalunin, Sergey; Storeck, Gero; Horstmann, Jan Gerrit; Böckmann, Hannes; Ropers, Claus, 2024, "Figure source data for "Nonthermal phonon dynamics and a quenched exciton condensate probed by surface-sensitive electron diffraction"", https://doi.org/10.17617/3.JBZHN2, Edmond, V3
Figure source data supporting the publication "Nonthermal phonon dynamics and a quenched exciton condensate probed by surface-sensitive electron diffraction". All plots from the manuscript can be replotted using the data sets in the folder and the Jupyter Notebook plot_script.ipy... |
Sep 6, 2023
Gebhard, Timothy, 2023, "Datasets and experimental results for "Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks"", https://doi.org/10.17617/3.K2CY3M, Edmond, V1
This dataset contains the training data and experimental results (i.e. trained models and results on the test set) for the research paper “Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks” by T. D. Gebhard et al. which has been accepted f... |
Aug 10, 2023
Li, Zimai; Bachmann, Valerie; Oliveira-Honorato, Thalita; Ulrich, Yuko; Frank, Erik, 2023, "Data for "Behavioural individuality determines infection risk in clonal ant colonies"", https://doi.org/10.17617/3.I6NKXM, Edmond, V1
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Jan 12, 2023
Wenig, Charlett; Reppe, Friedrich; Horbelt, Nils; Spener, Jaromir; Berendt, Ferréol; Cremer, Tobias; Frey, Marion; Burgert, Ingo; Eder, Michaela, 2023, "Adhesives free bark panels: an alternative application for a waste material", https://doi.org/10.17617/3.AZRWF3, Edmond, V1
The proportion of bark in tree trunks is in the range of ~ 10–20%. This large amount of material is currently mainly considered as a by- or even waste-product by the timber processing industry. Recently, efforts towards the use of bark have been made, e.g. as a raw material to ha... |
Jul 27, 2022
Agudelo-España, Diego; Zadaianchuk, Andrii; Wenk, Philipp; Garg, Aditya; Akpo, Joel Bessekon; Grimminger, Felix; Viereck, Julian; Naveau, Maximilien; Righetti, Ludovic ; Martius, Georg; Krause, Andreas; Schölkopf, Bernhard; Bauer, Stefan; Wüthrich, Manuel, 2022, "A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models", https://doi.org/10.17617/3.ZT6K7P, Edmond, V1
In the context of model-based reinforcement learning and control, a large number of methods for learning system dynamics have been proposed in recent years. The purpose of these learned models is to synthesize new control policies. An important open question is how robust current... |
Mar 22, 2022
Arns, Anthea I.; Evans, D.; Schiebel, R.; Fink, L.; Mezger, M.; Alig, E.; Linckens, J.; Jochum, K. P.; Schmidt, M. U.; Jantschke, A.; Haug, G. H., 2022, "Data to "Mesocrystalline architecture in hyaline foraminifer shells indicates a non-classical crystallization pathway"", https://doi.org/10.17617/3.D7HN3I, Edmond, V1
This file provides raw and processed XRD, PDF, LA-ICP-MS and EBSD data from foraminifer samples. |