Stuttgart Center for Simulation Science (SC SimTech)

EXC 2075 Project Networks

SIGDIUS

Projects without PN Affiliation

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21,061 to 21,070 of 21,172 Results

README.md Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression Markdown Text - 1.6 KB - MD5: d2572a82e8003c56d0307012ac4069d8
sampling.py Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression Python Source Code - 11.1 KB - MD5: 1a719b0984045eca7ce97bc54b4b9e2b
utils.py Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression Python Source Code - 2.6 KB - MD5: f921b3cd6389ea9f8e4707a3655a75f7
PN 6-3(Institute for Stochastics and Applications, Universität Stuttgart) Mar 16, 2021PN 6 SimTech Project PN6-3 "Understanding Physical Constraints in Machine Learning for Simulation"
Modeling Strategies for Gas migration in Subsurface (IWS, Universität Stuttgart) Mar 12, 2021Stochastic Simulation and Safety Research for Hydrosystems (LS3) This dataverse contains modeling data (percolation type) and comparison methods (codes) for the project models for gas migration in porous media.
Stochastic Simulation and Safety Research for Hydrosystems (LS3)(Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart) Mar 12, 2021Projects without PN Affiliation This dataverse contains data associated with the projects (as sub-dataverses) of LS3.
micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell Mar 11, 2021 - Publication: Experimental Methods and Imaging for Enzymatically Induced Calcite Precipitation in a microfluidic cell Vahid Dastjerdi, Samaneh; Steeb, Holger; Ruf, Matthias; Lee, Dongwon; Weinhardt, Felix; Karadimitriou, Nikolaos; Class, Holger, 2021, "micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell", https://doi.org/10.18419/DARUS-866, DaRUS, V1 micro-XRCT dataset (projection and reconstructed images) based on a region of interest scan (diameter 12.49 mm, height 9.09 mm) of a microfluidic cell including calcium carbonate aggregates along with the processed dataset (cropped, transformed and binarized).
processed.tar Mar 11, 2021 - micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell TAR Archive - 2.6 MB - MD5: d1931812fadb61cb603eab992e8542db This dataset is the transformed, cutted and processed version of the XRCT images. It contains the 20 binarized slices with the precipitates flagged as 1. The size of the volume is 89 mm x 22 mm x 0.085 mm.
projections.tar Mar 11, 2021 - micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell TAR Archive - 22.8 GB - MD5: 857866c0fe383c5d7c991553b8aa3fbf Projection images (360 deg, angle increment 0.25 deg), dark image (di) and open beam image (ob) in 16 bit *.tif file format.
reconstructed.tar Mar 11, 2021 - micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell TAR Archive - 34.4 GB - MD5: 1bc826ffd15ae7f4ea9a7d7eebbc756d Reconstructed micro-XRCT data set in 16 bit *.tif file format. 2940x2940x2139 voxels with the uniform voxel size of 4.24 µm.

README.md

Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression

Markdown Text - 1.6 KB -

sampling.py

Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression

Python Source Code - 11.1 KB -

utils.py

Mar 23, 2021 - Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression

Python Source Code - 2.6 KB -

PN 6-3(Institute for Stochastics and Applications, Universität Stuttgart)

Mar 16, 2021PN 6

SimTech Project PN6-3 "Understanding Physical Constraints in Machine Learning for Simulation"

Modeling Strategies for Gas migration in Subsurface (IWS, Universität Stuttgart)

Mar 12, 2021Stochastic Simulation and Safety Research for Hydrosystems (LS3)

This dataverse contains modeling data (percolation type) and comparison methods (codes) for the project models for gas migration in porous media.

Stochastic Simulation and Safety Research for Hydrosystems (LS3)(Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart)

Mar 12, 2021Projects without PN Affiliation

This dataverse contains data associated with the projects (as sub-dataverses) of LS3.

micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell

Mar 11, 2021 - Publication: Experimental Methods and Imaging for Enzymatically Induced Calcite Precipitation in a microfluidic cell

Vahid Dastjerdi, Samaneh; Steeb, Holger; Ruf, Matthias; Lee, Dongwon; Weinhardt, Felix; Karadimitriou, Nikolaos; Class, Holger, 2021, "micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell", https://doi.org/10.18419/DARUS-866, DaRUS, V1

micro-XRCT dataset (projection and reconstructed images) based on a region of interest scan (diameter 12.49 mm, height 9.09 mm) of a microfluidic cell including calcium carbonate aggregates along with the processed dataset (cropped, transformed and binarized).

processed.tar

Mar 11, 2021 - micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell

TAR Archive - 2.6 MB -

This dataset is the transformed, cutted and processed version of the XRCT images. It contains the 20 binarized slices with the precipitates flagged as 1. The size of the volume is 89 mm x 22 mm x 0.085 mm.

projections.tar

Mar 11, 2021 - micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell

TAR Archive - 22.8 GB -

Projection images (360 deg, angle increment 0.25 deg), dark image (di) and open beam image (ob) in 16 bit *.tif file format.

reconstructed.tar

Mar 11, 2021 - micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell

TAR Archive - 34.4 GB -

Reconstructed micro-XRCT data set in 16 bit *.tif file format. 2940x2940x2139 voxels with the uniform voxel size of 4.24 µm.

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