Persistent Identifier
|
doi:10.18419/DARUS-2227 |
Publication Date
|
2023-02-07 |
Title
| Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead columns |
Author
| Lee, DongwonUniversity of StuttgartORCID0000-0002-5359-7803
Weinhardt, FelixUniversity of StuttgartORCID0000-0002-1758-9427
Hommel, JohannesUniversity of StuttgartORCID0000-0002-2061-0303
Class, HolgerUniversity of StuttgartORCID0000-0002-4476-8017
Steeb, HolgerUniversity of StuttgartORCID0000-0001-7602-4920 |
Point of Contact
|
Use email button above to contact.
Steeb, Holger (University of Stuttgart, Institute of Applied Mechanics (CE) & SimTech)
Lee, Dongwon (University of Stuttgart, Institute of Applied Mechanics (CE) & SimTech) |
Description
| The results of EICP (Enzyme Induced Calcite Precipitation) experiments. This dataset includes pressure measurements and 3D reconstructed X-ray images during the conducted experiments. The experiment was performed on two Borosillicates Glass beads Columns (BGC). The images were taken with so called "Low-dose" strategy by minimizing the exposure time and projection acquisition in order to boost data acquisition time (6 min / dataset). Later, the low quality of acquired images affected by adopted strategy was enhanced by ML algorithm. The codes which were used for the post-processing in order to enhance the image quality can be found at https://doi.org/10.18419/darus-2991. The image data was recorded at the time steps 1, 2, 4, 6, 8, 10 and 12 hours of EICP experiment. |
Subject
| Computer and Information Science; Earth and Environmental Sciences; Engineering |
Keyword
| Micro X-Ray Computed Tomography (micro-XRCT) https://www.wikidata.org/wiki/Q3042540 (Wikidata)
Machine learning http://id.loc.gov/authorities/subjects/sh85079324 (LCSH)
Enzyme Induced Calcite Precipitation (EICP) https://encyclopedia.pub/entry/8160
Porous Medium https://www.wikidata.org/wiki/Q3271208 (Wikidata) |
Related Publication
| Lee, D., Weinhardt, F., Hommel, J., Piotrovski, J., Class, H., and Steeb, H. (2022). Machine Learning assists in increasing the time resolution of X-Ray Computed Tomography applied to mineral precipitation on porous media. Scientific Reports, to be submitted. |
Language
| English |
Producer
| Porous Media Lab (University of Stuttgart, Institute of Applied Mechanics (CE)) (PML) https://www.mib.uni-stuttgart.de/pml/ |
Production Location
| University of Stuttgart, Institute of Applied Mechanics (CE), Stuttgart, 70569, Germany |
Contributor
| Data Collector: Lee, Dongwon
Data Collector: Weinhardt, Felix
Data Collector: Hommel, Johannes
Supervisor: Class, Holger
Rights Holder: Steeb, Holger |
Project
| Time resolved XRCT with EICP application |
Funding Information
| DFG: 327154368 - SFB 1313
DFG: 380443677 |
Depositor
| Weinhardt, Felix |
Deposit Date
| 2021-10-28 |
Data Type
| Image data; Pressure data |
Related Dataset
| Lee, Dongwon; Steeb, Holger, 2022, "Image enhancement code: time-resolved tomograms of EICP application using 3D U-net", https://doi.org/10.18419/darus-2991 , DaRUS |