751 to 760 of 1,165 Results
Aug 9, 2022
Antonschmidt, Leif; Dirk Matthes; Rıza Dervişoğlu; Benedikt Frieg; Christian Dienemann; Andrei Leonov; Evgeny Nimerovsky; Vrinda Sant; Sergey Ryazanov; Armin Giese; Gunnar Schröder; Stefan Becker; Bert L. de Groot; Christian Griesinger; Loren B. Andreas, 2022, "The clinical drug candidate anle138b binds in a cavity of lipidic α-synuclein fibrils", https://doi.org/10.17617/3.9C6TEW, Edmond, V1
This dataset includes NMR spectra raw data generated in this study, Negative stain EM micrographs for αSyn fibrils in the presence of anle138b and mass spectrometry data for the synthesis of selectively labelled α-synuclein and 13C- and 15N-labelled anle138b, respectively. Solid-state NMR: 3D (H)CANH experiments on fibrils in the presence of anle13... |
Aug 9, 2022
Scheurer, Christoph, 2022, "Atomistic Grain-Boundary Model of the Solid-State-Electrolyte LATP", https://doi.org/10.17617/3.KJWDRB, Edmond, V1
This data set contains atomistic model structures related to the publication DOI: 10.1002/aenm.202100707 . |
Aug 9, 2022
Giorgetta, Marco, 2022, "The ICON-A model for direct QBO simulations on GPUs", https://doi.org/10.17617/3.5CYUFN, Edmond, V2
This dataset provides additional information for the related publication, see below. Details for the content are given in the README.pdf file. |
Aug 5, 2022
Jerzembeck, Fabian, 2022, "The Superconductivity of Sr2RuO4 Under c-Axis Uniaxial Stress", https://doi.org/10.17617/3.3O1ZM2, Edmond, V1
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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
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Jul 30, 2022
Larrouy-Maestri, Pauline, 2022, "Dynamic of speech", https://doi.org/10.17617/3.IZWNZ1, Edmond, V1
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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
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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... |