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License: CC BY 4.0

121 to 130 of 471 Results

Data for Upside down: an open-source motion platform for highly dynamic movement Jul 26, 2023 Man-Singh-Pradhan, Nayan; Frank, Patrick; Mo, An; Badri-Spröwitz, Alexander, 2023, "Data for Upside down: an open-source motion platform for highly dynamic movement", https://doi.org/10.17617/3.P9GM9Z, Edmond, V1 Dataset contains simulation model, control program, and CAD model of the motion platform. Publication link: https://doi.org/10.48550/arXiv.2303.17974
Training checkpoints for the TriFinger Cube Push and Lift tasks Jul 14, 2023 Gürtler, Nico, 2023, "Training checkpoints for the TriFinger Cube Push and Lift tasks", https://doi.org/10.17617/3.JA8ZW4, Edmond, V1 Training checkpoints for policies trained in Isaac Gym simulation of the TriFinger robotics platform. Checkpoints are available for two tasks: (i) Push a cube to a goal position on the ground, (ii) Lift a cube to goal position and orientation in the air. The checkpoints can be used with the following repository: https://github.com/rr-learning/trifi...
Code for "Effects of vertical grid spacing on the climate simulated in the ICON-Sapphire global storm-resolving model" Jul 10, 2023 Schmidt, Hauke, 2023, "Code for "Effects of vertical grid spacing on the climate simulated in the ICON-Sapphire global storm-resolving model"", https://doi.org/10.17617/3.Z10MPA, Edmond, V1 This dataset provides the model source code for the simulations described in the publication "Effects of vertical grid spacing on the climate simulated in the ICON-Sapphire global storm-resolving model" submitted to Geoscientific Model Development (GMD)
Data for the manuscript entitled "The topological Hall effect in CeAlGe" Jul 10, 2023 Moda Piva, Mario, 2023, "Data for the manuscript entitled "The topological Hall effect in CeAlGe"", https://doi.org/10.17617/3.DLTT1L, Edmond, V1 This dataset contains the experimental data used in the manuscript entitled "The topological Hall effect in CeAlGe". It is composed by magnetization, longitudinal and Hall resistivity curves as a function of temperature, magnetic field and/or external pressure.
Endosymbiosis allows Sitophilus oryzae to persist in dry conditions Jun 27, 2023 Kanyile, Sthandiwe Nomthandazo; Engl, Tobias; Heddi, Abdelaziz; Kaltenpoth, Martin, 2023, "Endosymbiosis allows Sitophilus oryzae to persist in dry conditions", https://doi.org/10.17617/3.D9Y0V3, Edmond, V1 Data on Sitophilus oryzae fitness (population growth) and chemical (cuticular hydrocarbons) after exposure to desiccation stress. Functional data relating to beetle body size, body water content, rate of cuticular water loss in symbiotic and aposymbiotic beetles.
Figure source data supporting "Coulomb-correlated electron number states in a transmission electron microscope beam" Jun 22, 2023 Haindl, Rudolf; Feist, Armin; Domröse, Till; Möller, Marcel; Gaida, John H.; Yalunin, Sergey; Ropers, Claus, 2023, "Figure source data supporting "Coulomb-correlated electron number states in a transmission electron microscope beam"", https://doi.org/10.17617/3.VQZOV7, Edmond, V2 Figure source data supporting the publication "Coulomb-correlated electron number states in a transmission electron microscope beam." All plots from the manuscript can be replotted using the data sets in the folder data and the Jupyter Notebook plot_script.ipynb. You can use this data repository interactively - click on the icon to launch a Jupyter...
Atmospheric mixing ratios of CO2 and CH4 at Ambarchik, NE Siberia, 2014-2017 Jun 16, 2023 Göckede, Mathias; Reum, Friedemann; Heimann, Martin, 2023, "Atmospheric mixing ratios of CO2 and CH4 at Ambarchik, NE Siberia, 2014-2017", https://doi.org/10.17617/3.1STIJV, Edmond, V1 Ambarchik is located at the mouth of the Kolyma River, which opens to the East Siberian Sea (69.62N, 162.30E). The majority of the landscape in the immediate vicinity of the locality is wet tussock tundra. At the ecoregion scale, Ambarchik is bordered by Northeast Siberian Coastal Tundra ecoregion in the west, the Chukchi Peninsula Tundra ecoregion...
Datasets for PICNIC Jun 2, 2023 Toth-Petroczy, Agnes, 2023, "Datasets for PICNIC", https://doi.org/10.17617/3.0Y9Q8N, Edmond, V1
Supplementary Data Remote Inspection of Adversary-Controlled Environments May 30, 2023 Tobisch, Johannes; Philippe, Sébastien; Barak, Boaz; Kaplun, Gal; Zenger, Christian; Glaser, Alexander; Paar, Christof; Rührmair, Ulrich, 2023, "Supplementary Data Remote Inspection of Adversary-Controlled Environments", https://doi.org/10.17617/3.UNYGGC, Edmond, V1 This repository contains the supplementary data for the the publication "Remote Inspection of Adversary-Controlled Environments".
TriFinger RL Datasets May 19, 2023 Gürtler, Nico; Blaes, Sebastian; Kolev, Pavel; Widmaier, Felix; Wuthrich, Manuel; Bauer, Stefan; Schölkopf, Bernhard; Martius, Georg, 2023, "TriFinger RL Datasets", https://doi.org/10.17617/3.DXZ7TL, Edmond, V1 Offline reinforcement learning datasets collected on real TriFinger robots and with a simulated version of the robot. Trajectories for two dexterous manipulation tasks were collected: Pushing a cube to a goal position on the ground and Lifting it to a goal position and orientation in the air. Several dataset types collected with policies of varying...

Data for Upside down: an open-source motion platform for highly dynamic movement

Jul 26, 2023

Man-Singh-Pradhan, Nayan; Frank, Patrick; Mo, An; Badri-Spröwitz, Alexander, 2023, "Data for Upside down: an open-source motion platform for highly dynamic movement", https://doi.org/10.17617/3.P9GM9Z, Edmond, V1

Dataset contains simulation model, control program, and CAD model of the motion platform. Publication link: https://doi.org/10.48550/arXiv.2303.17974

Training checkpoints for the TriFinger Cube Push and Lift tasks

Jul 14, 2023

Gürtler, Nico, 2023, "Training checkpoints for the TriFinger Cube Push and Lift tasks", https://doi.org/10.17617/3.JA8ZW4, Edmond, V1

Training checkpoints for policies trained in Isaac Gym simulation of the TriFinger robotics platform. Checkpoints are available for two tasks: (i) Push a cube to a goal position on the ground, (ii) Lift a cube to goal position and orientation in the air. The checkpoints can be used with the following repository: https://github.com/rr-learning/trifi...

Code for "Effects of vertical grid spacing on the climate simulated in the ICON-Sapphire global storm-resolving model"

Jul 10, 2023

Schmidt, Hauke, 2023, "Code for "Effects of vertical grid spacing on the climate simulated in the ICON-Sapphire global storm-resolving model"", https://doi.org/10.17617/3.Z10MPA, Edmond, V1

This dataset provides the model source code for the simulations described in the publication "Effects of vertical grid spacing on the climate simulated in the ICON-Sapphire global storm-resolving model" submitted to Geoscientific Model Development (GMD)

Data for the manuscript entitled "The topological Hall effect in CeAlGe"

Jul 10, 2023

Moda Piva, Mario, 2023, "Data for the manuscript entitled "The topological Hall effect in CeAlGe"", https://doi.org/10.17617/3.DLTT1L, Edmond, V1

This dataset contains the experimental data used in the manuscript entitled "The topological Hall effect in CeAlGe". It is composed by magnetization, longitudinal and Hall resistivity curves as a function of temperature, magnetic field and/or external pressure.

Endosymbiosis allows Sitophilus oryzae to persist in dry conditions

Jun 27, 2023

Kanyile, Sthandiwe Nomthandazo; Engl, Tobias; Heddi, Abdelaziz; Kaltenpoth, Martin, 2023, "Endosymbiosis allows Sitophilus oryzae to persist in dry conditions", https://doi.org/10.17617/3.D9Y0V3, Edmond, V1

Data on Sitophilus oryzae fitness (population growth) and chemical (cuticular hydrocarbons) after exposure to desiccation stress. Functional data relating to beetle body size, body water content, rate of cuticular water loss in symbiotic and aposymbiotic beetles.

Figure source data supporting "Coulomb-correlated electron number states in a transmission electron microscope beam"

Jun 22, 2023

Haindl, Rudolf; Feist, Armin; Domröse, Till; Möller, Marcel; Gaida, John H.; Yalunin, Sergey; Ropers, Claus, 2023, "Figure source data supporting "Coulomb-correlated electron number states in a transmission electron microscope beam"", https://doi.org/10.17617/3.VQZOV7, Edmond, V2

Figure source data supporting the publication "Coulomb-correlated electron number states in a transmission electron microscope beam." All plots from the manuscript can be replotted using the data sets in the folder data and the Jupyter Notebook plot_script.ipynb. You can use this data repository interactively - click on the icon to launch a Jupyter...

Atmospheric mixing ratios of CO2 and CH4 at Ambarchik, NE Siberia, 2014-2017

Jun 16, 2023

Göckede, Mathias; Reum, Friedemann; Heimann, Martin, 2023, "Atmospheric mixing ratios of CO2 and CH4 at Ambarchik, NE Siberia, 2014-2017", https://doi.org/10.17617/3.1STIJV, Edmond, V1

Ambarchik is located at the mouth of the Kolyma River, which opens to the East Siberian Sea (69.62N, 162.30E). The majority of the landscape in the immediate vicinity of the locality is wet tussock tundra. At the ecoregion scale, Ambarchik is bordered by Northeast Siberian Coastal Tundra ecoregion in the west, the Chukchi Peninsula Tundra ecoregion...

Datasets for PICNIC

Jun 2, 2023

Toth-Petroczy, Agnes, 2023, "Datasets for PICNIC", https://doi.org/10.17617/3.0Y9Q8N, Edmond, V1

Supplementary Data Remote Inspection of Adversary-Controlled Environments

May 30, 2023

Tobisch, Johannes; Philippe, Sébastien; Barak, Boaz; Kaplun, Gal; Zenger, Christian; Glaser, Alexander; Paar, Christof; Rührmair, Ulrich, 2023, "Supplementary Data Remote Inspection of Adversary-Controlled Environments", https://doi.org/10.17617/3.UNYGGC, Edmond, V1

This repository contains the supplementary data for the the publication "Remote Inspection of Adversary-Controlled Environments".

TriFinger RL Datasets

May 19, 2023

Gürtler, Nico; Blaes, Sebastian; Kolev, Pavel; Widmaier, Felix; Wuthrich, Manuel; Bauer, Stefan; Schölkopf, Bernhard; Martius, Georg, 2023, "TriFinger RL Datasets", https://doi.org/10.17617/3.DXZ7TL, Edmond, V1

Offline reinforcement learning datasets collected on real TriFinger robots and with a simulated version of the robot. Trajectories for two dexterous manipulation tasks were collected: Pushing a cube to a goal position on the ground and Lifting it to a goal position and orientation in the air. Several dataset types collected with policies of varying...

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