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Edmond – the Open Research Data Repository of the Max Planck Society

Edmond is a research data repository for Max Planck researchers. It is the place to store completed datasets of research data with open access. Edmond serves the publication of research data from all disciplines and offers scientists the ability to create citable research objects.

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671 to 680 of 1,084 Results

Atomistic Grain-Boundary Model of the Solid-State-Electrolyte LATP 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 .
The ICON-A model for direct QBO simulations on GPUs 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.
The Superconductivity of Sr2RuO4 Under c-Axis Uniaxial Stress Aug 5, 2022 Jerzembeck, Fabian, 2022, "The Superconductivity of Sr2RuO4 Under c-Axis Uniaxial Stress", https://doi.org/10.17617/3.3O1ZM2, Edmond, V1
MPG Geomagnetic field forecast from 2020 to 2120 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).
Data - Flexible energy-saving strategies in female temperate-zone bats 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
Dynamic of speech Jul 30, 2022 Larrouy-Maestri, Pauline, 2022, "Dynamic of speech", https://doi.org/10.17617/3.IZWNZ1, Edmond, V1
Data of: Gastrocnemius and Power Amplifier Soleus Spring-Tendons Achieve Fast Human-like Walking in a Bipedal Robot 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
Molecular dynamics simulations of α-synuclein protofilament structure models without and with anle138b 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
A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models 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...
Data For: Systematic Atomic Structure Datasets for Machine Learning Potentials: Application to Defects in Magnesium 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.

Atomistic Grain-Boundary Model of the Solid-State-Electrolyte LATP

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 .

The ICON-A model for direct QBO simulations on GPUs

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.

The Superconductivity of Sr2RuO4 Under c-Axis Uniaxial Stress

Aug 5, 2022

Jerzembeck, Fabian, 2022, "The Superconductivity of Sr2RuO4 Under c-Axis Uniaxial Stress", https://doi.org/10.17617/3.3O1ZM2, Edmond, V1

MPG Geomagnetic field forecast from 2020 to 2120

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).

Data - Flexible energy-saving strategies in female temperate-zone bats

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

Dynamic of speech

Jul 30, 2022

Larrouy-Maestri, Pauline, 2022, "Dynamic of speech", https://doi.org/10.17617/3.IZWNZ1, Edmond, V1

Data of: Gastrocnemius and Power Amplifier Soleus Spring-Tendons Achieve Fast Human-like Walking in a Bipedal Robot

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

Molecular dynamics simulations of α-synuclein protofilament structure models without and with anle138b

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

A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models

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...

Data For: Systematic Atomic Structure Datasets for Machine Learning Potentials: Application to Defects in Magnesium

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.

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