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331 to 340 of 376 Results
Jun 18, 2021 - Modeling Strategies for Gas migration in Subsurface
Banerjee, Ishani, 2021, "Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data", https://doi.org/10.18419/DARUS-1776, DaRUS, V1
This dataset contains modeling data used to obtain the results and figures in the manuscript: "Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data." In particular, the model realization data and post-processing codes for the manuscript can be found here.
Computational Cognitive Science(Universität Stuttgart)
Jun 15, 2021PN 7
Data collections by the Stuttgart CCS group, mostly Encephalography, Eye-Tracking and human behavior data.
Jun 7, 2021 - Publication: Asphalt
Ruf, Matthias; Teutsch, Tim; Alber, Stefan; Steeb, Holger; Ressel, Wolfram, 2021, "micro-XRCT data sets of a stone mastic asphalt drill core before and after a uniaxial compression test (sample 2): sample 2-3", https://doi.org/10.18419/DARUS-1834, DaRUS, V1, UNF:6:QoLna7YlKfmQGxjSgS9yUA== [fileUNF]
This data set contains two micro X-ray Computed Tomography (micro-XRCT) data sets resulting from region of interest scans (diameter 58.32 mm, height 46.06 mm) of the center region of a stone mastic asphalt (SMA) drill core. The drill core was scanned with identical scanner settings before ("reconstructed_20200505_01.tar.gz") and after ("reconstruct...
Jun 7, 2021 - Publication: Asphalt
Ruf, Matthias; Teutsch, Tim; Alber, Stefan; Steeb, Holger; Ressel, Wolfram, 2021, "micro-XRCT data sets of a stone mastic asphalt drill core before and after a uniaxial compression test (sample 2): sample 2-2", https://doi.org/10.18419/DARUS-1833, DaRUS, V1, UNF:6:mLc9Ef0BZefXh32Fhop7kw== [fileUNF]
This data set contains two micro X-ray Computed Tomography (micro-XRCT) data sets resulting from region of interest scans (diameter 58.32 mm, height 46.06 mm) of the center region of a stone mastic asphalt (SMA) drill core. The drill core was scanned with identical scanner settings before ("reconstructed_20200504_01.tar.gz") and after ("reconstruct...
Jun 7, 2021 - Publication: Asphalt
Ruf, Matthias; Teutsch, Tim; Alber, Stefan; Steeb, Holger; Ressel, Wolfram, 2021, "micro-XRCT data sets of a stone mastic asphalt drill core before and after a uniaxial compression test (sample 2): sample 2-1", https://doi.org/10.18419/DARUS-1641, DaRUS, V2, UNF:6:mp7Zp2YBUbrj5d48PuMJ4w== [fileUNF]
This data set contains two micro X-ray Computed Tomography (micro-XRCT) data sets resulting from region of interest scans (diameter 58.32 mm, height 46.06 mm) of the center region of a stone mastic asphalt (SMA) drill core. The drill core was scanned with identical scanner settings before ("reconstructed_20200429_01.tar.gz") and after ("reconstruct...
May 26, 2021 - PN 6-4
Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Trained Models for our Visual Analytics System", https://doi.org/10.18419/DARUS-1850, DaRUS, V1
Trained models and vocabulary files for the use in our visual analytics system NMTVis. There are models for German to English and vice versa available for an LSTM-based and the Transformer architecture.
May 26, 2021 - PN 6-4
Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Neural Machine Translation Visualization System", https://doi.org/10.18419/DARUS-1849, DaRUS, V1
NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated using a neural machine translation model (we support an LSTM-based and the Transformer architecture). Afterward, users can find mistranslated sentences, explore and correct the...
May 21, 2021 - PN 4-4
Eschmann, Hannes, 2021, "A Data Set for Research on Data-based Methods for an Omnidirectional Mobile Robot", https://doi.org/10.18419/DARUS-1845, DaRUS, V1
The intend of this data set is the cooperation within SimTech. It will be particularly interesting for data-based modeling and control which is a key area of the research of project network 4. We are proud to provide real-world data, which is essential for the benchmark of any data-based method. Additionally, we are able to provide reference soluti...
PN 4-4(Institute of Engineering and Computational Mechanics, Universität Stuttgart)
May 10, 2021PN 4
Bridging the gap between theoretic research in distributed and learning-based model predictive control and multi-agent applications.
May 4, 2021 - Publication: Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone
Balcewicz, Martin; Ruf, Matthias; Steeb, Holger; Saenger, Erik H., 2021, "Digital rock physics: A geological driven workflow for the segmentation of anisotropic Ruhr sandstone: SEM images", https://doi.org/10.18419/DARUS-1812, DaRUS, V1
The Ruhr sandstone is assigned to the Upper Carboniferous and is part of the Ruhr cyclothem located in North Rhine-Westphalia, which consists of clays, siltstones, mudstones, sandstones, and interbedded coal seams. The sediment was chemically and mechanically compacted, folded, and faulted during the Hercynian orogeny. The studied microstructure of...
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