DaRUS

Metrics

3,765,987 Downloads

This is the Data Repository of the University of Stuttgart.

SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"

SFB 1333 "Molecular heterogeneous catalysis in confined geometries"

Institute of Biochemistry

Institute of Applied Mechanics (MIB)

Institute of Thermodynamics and Thermal Process Engineering

Stuttgart Center for Simulation Science (SC SimTech)

Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC)

SFB/Transregio 161 "Quantitative Methods for Visual Computing"

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

126,481 to 126,490 of 127,081 Results

Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC May 19, 2020 - B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation Reuschen, Sebastian; Xu, Teng; Nowak, Wolfgang, 2020, "Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC", https://doi.org/10.18419/DARUS-741, DaRUS, V1 This dataset contains the code and all relevant data and of the paper "Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC" by Sebastian Reuschen, Teng Xu and Wolfgang Nowak. Always cite the paper together with this dataset because this dataset is not self-explanatory. The code.tar.gz file conta...
code.tar.gz May 19, 2020 - Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC Gzip Archive - 143.7 KB - MD5: 434750ea8b39b02bc74c456d12660e5c
data.tar.gz May 19, 2020 - Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC Gzip Archive - 580.8 MB - MD5: 3a5ff7270f32fae9c2890e2c94837ec0
Glycoside Hydrolase 19 Engineering Database(Universität Stuttgart) May 18, 2020Bioinformatics Supporting information and original files for bioinformatic investigations using the Glycoside Hydrolase 19 Engineering Database (https://gh19ed.biocatnet.de/)
SFB-TRR 161 A02 "Quantifying Visual Computing Systems"(Universität Stuttgart) May 14, 2020SFB/Transregio 161 "Quantitative Methods for Visual Computing" The long-term goal of this project is to quantify visual computing systems, i.e.to assess, model and ultimately predict important characteristics that have a substantial impact on user experience.
SFB-TRR 161 INF "Collaboration Infrastructure"(Universität Stuttgart, Universität Konstanz) May 14, 2020SFB/Transregio 161 "Quantitative Methods for Visual Computing" Project INF supports the other projects of SFB/Transregio 161 by providing a central approach to data management and an infrastructure for virtual meetings in a large, high-resolution display scenario.
Technical Information and Communication Services(Universität Stuttgart) Apr 27, 2020
EICPModelCalibration(Universität Stuttgart) Apr 24, 2020SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"
B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation(Universität Stuttgart) $B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation logo$ Apr 22, 2020SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media" Fractured porous media are geometrically very complex. There are many competing model concepts to represent their structure in flow simulations; these models differ drastically in their level of geo¬metric detail and in their level of simplification and abstraction. Systematically choosing between these vastly different models, calibrating chosen m...
Conserved positions in expansin homologues Apr 9, 2020 - Expansin Engineering Database Lohoff, Caroline, 2020, "Conserved positions in expansin homologues", https://doi.org/10.18419/DARUS-735, DaRUS, V1, UNF:6:HemykMznkJ0tyrf89mswkg== [fileUNF] Conserved positions in the N- and C-terminal expansin domains of different groups from the Expansin Engineering Database (occurring in at least 70% of the annotated sequence entries). The expansin domains were annotated using hmmscan (from the HMMER software suite) against all sequence entries in the Expansin Engineering Database.

Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC

May 19, 2020 - B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation

Reuschen, Sebastian; Xu, Teng; Nowak, Wolfgang, 2020, "Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC", https://doi.org/10.18419/DARUS-741, DaRUS, V1

This dataset contains the code and all relevant data and of the paper "Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC" by Sebastian Reuschen, Teng Xu and Wolfgang Nowak. Always cite the paper together with this dataset because this dataset is not self-explanatory. The code.tar.gz file conta...

code.tar.gz

May 19, 2020 - Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC

Gzip Archive - 143.7 KB -

data.tar.gz

May 19, 2020 - Code and data of Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC

Gzip Archive - 580.8 MB -

Glycoside Hydrolase 19 Engineering Database(Universität Stuttgart)

May 18, 2020Bioinformatics

Supporting information and original files for bioinformatic investigations using the Glycoside Hydrolase 19 Engineering Database (https://gh19ed.biocatnet.de/)

SFB-TRR 161 A02 "Quantifying Visual Computing Systems"(Universität Stuttgart)

May 14, 2020SFB/Transregio 161 "Quantitative Methods for Visual Computing"

The long-term goal of this project is to quantify visual computing systems, i.e.to assess, model and ultimately predict important characteristics that have a substantial impact on user experience.

SFB-TRR 161 INF "Collaboration Infrastructure"(Universität Stuttgart, Universität Konstanz)

May 14, 2020SFB/Transregio 161 "Quantitative Methods for Visual Computing"

Project INF supports the other projects of SFB/Transregio 161 by providing a central approach to data management and an infrastructure for virtual meetings in a large, high-resolution display scenario.

Technical Information and Communication Services(Universität Stuttgart)

Apr 27, 2020

EICPModelCalibration(Universität Stuttgart)

Apr 24, 2020SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"

B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation(Universität Stuttgart)

$B04: Hybrid discrete-continuum models for fractured porous media: model choice and random field/network generation logo$

Apr 22, 2020SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"

Fractured porous media are geometrically very complex. There are many competing model concepts to represent their structure in flow simulations; these models differ drastically in their level of geo¬metric detail and in their level of simplification and abstraction. Systematically choosing between these vastly different models, calibrating chosen m...

Conserved positions in expansin homologues

Apr 9, 2020 - Expansin Engineering Database

Lohoff, Caroline, 2020, "Conserved positions in expansin homologues", https://doi.org/10.18419/DARUS-735, DaRUS, V1, UNF:6:HemykMznkJ0tyrf89mswkg== [fileUNF]

Conserved positions in the N- and C-terminal expansin domains of different groups from the Expansin Engineering Database (occurring in at least 70% of the annotated sequence entries). The expansin domains were annotated using hmmscan (from the HMMER software suite) against all sequence entries in the Expansin Engineering Database.

Add Data

Share Dataverse

Link Dataverse

Reset Modifications