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81 to 90 of 163 Results
Aug 5, 2022
Jerzembeck, Fabian, 2022, "The Superconductivity of Sr2RuO4 Under c-Axis Uniaxial Stress", https://doi.org/10.17617/3.3O1ZM2, Edmond, V1
Aug 4, 2022
Sanchez, Sabrina, 2022, "MPG Geomagnetic field forecast from 2020 to 2120", https://doi.org/10.17617/3.MZGFPM, Edmond, V1
Geomagnetic field forecast from 2020 to 2120, based on the assimilation of COV-OBS.x1 (Gillet et al, 2015) and Kalmag (Baerenzung et al, 2020) by an ensemble of 3D dynamo simulations. The forecast was issued in the context of the IGRF-13 for geomagnetic field forecast between 2020-2025, and published in Sanchez et al (2020, EPS).
Aug 3, 2022
Keicher, Lara, 2022, "Data - Flexible energy-saving strategies in female temperate-zone bats", https://doi.org/10.17617/3.T5LUIM, Edmond, V1
Jul 30, 2022
Larrouy-Maestri, Pauline, 2022, "Dynamic of speech", https://doi.org/10.17617/3.IZWNZ1, Edmond, V1
Jul 29, 2022
Kiss, Bernadett; Gonen, Emre Cemal; Mo, An; Buchmann, Alexandra; Renjewski, Daniel; Badri-Spröwitz, Alexander, 2022, "Data of: Gastrocnemius and Power Amplifier Soleus Spring-Tendons Achieve Fast Human-like Walking in a Bipedal Robot", https://doi.org/10.17617/3.BQ2PZ9, Edmond, V1
Control code, experimental data, visualization code, and CAD files for the paper: Gastrocnemius and Power Amplifier Soleus Spring-Tendons Achieve Fast Human-like Walking in a Bipedal Robot
Jul 27, 2022
Matthes, Dirk, 2022, "Molecular dynamics simulations of α-synuclein protofilament structure models without and with anle138b", https://doi.org/10.17617/3.R4FJQG, Edmond, V1
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 dynamics-learning methods are to shifts in the data distribution due...
Jul 22, 2022
Poul, Marvin, 2022, "Data For: Systematic Atomic Structure Datasets for Machine Learning Potentials: Application to Defects in Magnesium", https://doi.org/10.17617/3.A3MB7Z, Edmond, V1
DFT Training Data for fitting Moment Tensor Potentials. See https://github.com/eisenforschung/magnesium-mtp-training-data for further notes and usage examples.
Jul 20, 2022
Murray, David; Jahnel, Marcus, 2022, "Dataset for: An endosomal tether undergoes an entropic collapse to bring vesicles together", https://doi.org/10.17617/3.YYISTC, Edmond, V1
Raw data files from EM rotary shadowing experiments of Early Endosome Antigen 1 (EEA1) under various conditions. The datasets have been obtained for the study of Murray & Jahnel et al., "An endosomal tether undergoes an entropic collapse to bring vesicles together", Nature, 2016. Different datasets correspond to different mutants of EEA1 and differ...
Jul 15, 2022
Hohenegger, Cathy, 2022, "Code for "ICON-Sapphire: simulating the components of the Earth System and their interactions at kilometer and subkilometer scales"", https://doi.org/10.17617/3.1XTSR6, Edmond, V1
This dataset provides the model source code for the simulations described in the publication "ICON-Sapphire: simulating the components of the Earth System and their interactions at kilometer and subkilometer scales" submitted to Geoscientific Model Development (GMD)
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