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20,911 to 20,920 of 21,003 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
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.
2d microstructure data Feb 15, 2021 - Data Analytics in Engineering Lißner, Julian, 2020, "2d microstructure data", https://doi.org/10.18419/DARUS-1151, DaRUS, V2 The hdf5 file contains image data of inclusion based microstructured material and the homogenized effective heat conductivity thereof. The microstructure is defined with a representative volume element with periodic boundary conditions. 30.000 images are contained and split into two inclusion subclasses of circular and rectangular inclusions. Featu...
2d_microstructures.h5 Feb 15, 2021 - 2d microstructure data Hierarchical Data Format - 967.9 MB - MD5: 8d93bd9af6585b0f63257c571920752c hdf5 file containing all the data
compute_regression_data.py Feb 15, 2021 - 2d microstructure data Python Source Code - 2.3 KB - MD5: 8088ddd98656e04611bdf589220baf99 code to recompute/reproduce the data used for the regression problem

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 -

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.

2d microstructure data

Feb 15, 2021 - Data Analytics in Engineering

Lißner, Julian, 2020, "2d microstructure data", https://doi.org/10.18419/DARUS-1151, DaRUS, V2

The hdf5 file contains image data of inclusion based microstructured material and the homogenized effective heat conductivity thereof. The microstructure is defined with a representative volume element with periodic boundary conditions. 30.000 images are contained and split into two inclusion subclasses of circular and rectangular inclusions. Featu...

2d_microstructures.h5

Feb 15, 2021 - 2d microstructure data

Hierarchical Data Format - 967.9 MB -

hdf5 file containing all the data

compute_regression_data.py

Feb 15, 2021 - 2d microstructure data

Python Source Code - 2.3 KB -

code to recompute/reproduce the data used for the regression problem

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