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Subject: Chemistry Funding Information Identifier: EXC 2075 - 390740016 License: CC BY 4.0 Deposit Date: 2022

1 to 8 of 8 Results

Replication data for: "Interlayer Interactions as Design Tool for Large-Pore COFs" Jul 19, 2023 - SFB 1333 A3 - Lotsch group, MPI-FKF Emmerling, Sebastian; Schuldt, Robin; Bette, Sebastian; Yao, Liang; Dinnebier, Robert; Kästner, Johannes; Lotsch, Bettina, 2023, "Replication data for: "Interlayer Interactions as Design Tool for Large-Pore COFs"", https://doi.org/10.18419/darus-2728, DaRUS, V1 ABSTRACT: Covalent organic frameworks (COFs) with a pore size beyond 5 nm are still rarely seen in this emerging field. Besides obvious complications like the elaborated synthesis of large linkers with sufficient solubility, more subtle challenges regarding large-pore COF synthes...
Material for the paper "The possible role of lipid bilayer properties in the evolutionary disappearance of betaine lipids in seed plants." Jul 18, 2023 - BLinK Schlaich, Alexander, 2023, "Material for the paper "The possible role of lipid bilayer properties in the evolutionary disappearance of betaine lipids in seed plants."", https://doi.org/10.18419/darus-2360, DaRUS, V1 Simulation input scripts to produce the data presented in the manuscript "The possible role of lipid bilayer properties in the evolutionary disappearance of betaine lipids in seed plants." All simulations were carried out using the GROMACS simulation package. The folders contain...
Additional data related to Khella et al.: The T1150A cancer mutant of the protein lysine methyltransferase NSD2 can introduce H3K36 trimethylation Mar 14, 2023 - MD Simulations Jeltsch, Albert; Schnee, Philipp; Saad, Mina; Weirich, Sara; Pleiss, Jürgen; Bashtrykov, Pavel, 2023, "Additional data related to Khella et al.: The T1150A cancer mutant of the protein lysine methyltransferase NSD2 can introduce H3K36 trimethylation", https://doi.org/10.18419/darus-3263, DaRUS, V1 This data collection contains additional data related to Khella et al.: "The T1150A cancer mutant of the protein lysine methyltransferase NSD2 can introduce H3K36 trimethylation". This includes Movie 1: Example of a successful docking of AdoMet to the NSD2 T1150A - H3K36me2 pepti...
Scripts for "Assessing the validity of NMR relaxation rates obtained from coarse-grained simulations" Mar 13, 2023 - Holm group Gravelle, Simon; Beyer, David; Brito, Mariano E.; Schlaich, Alexander; Holm, Christian, 2023, "Scripts for "Assessing the validity of NMR relaxation rates obtained from coarse-grained simulations"", https://doi.org/10.18419/darus-3313, DaRUS, V1 Simulations and data analysis scripts for the publication "Assessing the validity of NMR relaxation rates obtained from coarse-grained simulations". The dataset contains two types of simulation scripts: all-atom simulation (GROMACS) and coarse-grained simulations (ESPRESSO). In b...
Molecular simulation scripts for bulk solutions Mar 8, 2023 - NMR investigation of water confined by salt interface Gravelle, Simon; Holm, Christian; Schlaich, Alexander, 2023, "Molecular simulation scripts for bulk solutions", https://doi.org/10.18419/darus-3179, DaRUS, V1 GROMACS molecular simulation input files for bulk solutions of NaCl and Na2SO4. Initial configuration with different salt concentration can be generated using the Python script ConfigurationGenerator.py, and successive GROMACS runs can be performed by running the runall.sh Bash s...
Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials Feb 20, 2023 - PN 6 Zaverkin, Viktor; Holzmüller, David; Bonfirraro, Luca; Kästner, Johannes, 2023, "Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials", https://doi.org/10.18419/darus-3299, DaRUS, V1 Pre-trained and fine-tuned ANI models using the Gaussian Moments Neural Network (GM-NN) approach. Code for GM-NN implemented within the Tensorflow framework, including the respective documentation and tutorials, can be found on GitLab. The data represents TensorFlow v2 checkpoint...
Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials Jan 11, 2023 - Materials Design Jung, Jong Hyun; Srinivasan, Prashanth; Forslund, Axel; Grabowski, Blazej, 2023, "Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials", https://doi.org/10.18419/darus-3239, DaRUS, V1 Data for the publication High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials, npj Comput. Mater., DOI: 10.1038/s41524-022-00956-8 (2023) This data set contains - the training sets (VASP files), - the low mom...
Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state' Aug 26, 2022 - Institute of Thermodynamics and Thermal Process Engineering Zimmermann, Nils Edvin Richard; Guevara-Carrion, Gabriela; Vrabec, Jadran; Hansen, Niels, 2022, "Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state'", https://doi.org/10.18419/darus-2996, DaRUS, V2 Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state' (N. E. R. Zimmermann, G. Guevara-Carrion, J. Vrabec, N. Hansen, Adv. Theory Simul., 2022) containing scripts, packages, and files to re-create and...

Replication data for: "Interlayer Interactions as Design Tool for Large-Pore COFs"

Jul 19, 2023 - SFB 1333 A3 - Lotsch group, MPI-FKF

Emmerling, Sebastian; Schuldt, Robin; Bette, Sebastian; Yao, Liang; Dinnebier, Robert; Kästner, Johannes; Lotsch, Bettina, 2023, "Replication data for: "Interlayer Interactions as Design Tool for Large-Pore COFs"", https://doi.org/10.18419/darus-2728, DaRUS, V1

ABSTRACT: Covalent organic frameworks (COFs) with a pore size beyond 5 nm are still rarely seen in this emerging field. Besides obvious complications like the elaborated synthesis of large linkers with sufficient solubility, more subtle challenges regarding large-pore COF synthes...

Material for the paper "The possible role of lipid bilayer properties in the evolutionary disappearance of betaine lipids in seed plants."

Jul 18, 2023 - BLinK

Schlaich, Alexander, 2023, "Material for the paper "The possible role of lipid bilayer properties in the evolutionary disappearance of betaine lipids in seed plants."", https://doi.org/10.18419/darus-2360, DaRUS, V1

Simulation input scripts to produce the data presented in the manuscript "The possible role of lipid bilayer properties in the evolutionary disappearance of betaine lipids in seed plants." All simulations were carried out using the GROMACS simulation package. The folders contain...

Additional data related to Khella et al.: The T1150A cancer mutant of the protein lysine methyltransferase NSD2 can introduce H3K36 trimethylation

Mar 14, 2023 - MD Simulations

Jeltsch, Albert; Schnee, Philipp; Saad, Mina; Weirich, Sara; Pleiss, Jürgen; Bashtrykov, Pavel, 2023, "Additional data related to Khella et al.: The T1150A cancer mutant of the protein lysine methyltransferase NSD2 can introduce H3K36 trimethylation", https://doi.org/10.18419/darus-3263, DaRUS, V1

This data collection contains additional data related to Khella et al.: "The T1150A cancer mutant of the protein lysine methyltransferase NSD2 can introduce H3K36 trimethylation". This includes Movie 1: Example of a successful docking of AdoMet to the NSD2 T1150A - H3K36me2 pepti...

Scripts for "Assessing the validity of NMR relaxation rates obtained from coarse-grained simulations"

Mar 13, 2023 - Holm group

Gravelle, Simon; Beyer, David; Brito, Mariano E.; Schlaich, Alexander; Holm, Christian, 2023, "Scripts for "Assessing the validity of NMR relaxation rates obtained from coarse-grained simulations"", https://doi.org/10.18419/darus-3313, DaRUS, V1

Simulations and data analysis scripts for the publication "Assessing the validity of NMR relaxation rates obtained from coarse-grained simulations". The dataset contains two types of simulation scripts: all-atom simulation (GROMACS) and coarse-grained simulations (ESPRESSO). In b...

Molecular simulation scripts for bulk solutions

Mar 8, 2023 - NMR investigation of water confined by salt interface

Gravelle, Simon; Holm, Christian; Schlaich, Alexander, 2023, "Molecular simulation scripts for bulk solutions", https://doi.org/10.18419/darus-3179, DaRUS, V1

GROMACS molecular simulation input files for bulk solutions of NaCl and Na2SO4. Initial configuration with different salt concentration can be generated using the Python script ConfigurationGenerator.py, and successive GROMACS runs can be performed by running the runall.sh Bash s...

Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials

Feb 20, 2023 - PN 6

Zaverkin, Viktor; Holzmüller, David; Bonfirraro, Luca; Kästner, Johannes, 2023, "Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials", https://doi.org/10.18419/darus-3299, DaRUS, V1

Pre-trained and fine-tuned ANI models using the Gaussian Moments Neural Network (GM-NN) approach. Code for GM-NN implemented within the Tensorflow framework, including the respective documentation and tutorials, can be found on GitLab. The data represents TensorFlow v2 checkpoint...

Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials

Jan 11, 2023 - Materials Design

Jung, Jong Hyun; Srinivasan, Prashanth; Forslund, Axel; Grabowski, Blazej, 2023, "Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials", https://doi.org/10.18419/darus-3239, DaRUS, V1

Data for the publication High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials, npj Comput. Mater., DOI: 10.1038/s41524-022-00956-8 (2023) This data set contains - the training sets (VASP files), - the low mom...

Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state'

Aug 26, 2022 - Institute of Thermodynamics and Thermal Process Engineering

Zimmermann, Nils Edvin Richard; Guevara-Carrion, Gabriela; Vrabec, Jadran; Hansen, Niels, 2022, "Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state'", https://doi.org/10.18419/darus-2996, DaRUS, V2

Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state' (N. E. R. Zimmermann, G. Guevara-Carrion, J. Vrabec, N. Hansen, Adv. Theory Simul., 2022) containing scripts, packages, and files to re-create and...

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