Datasets for "penetration coefficients of commercial nanolimes and a liquid mineral precursor into pore-imitating test systems"

Abstract: This is the parent data package for the data associated with the journal article "Penetration Coefficients of Commercial Nanolimes and a Liquid Mineral Precursor into Pore-Imitating Test Systems - Predictability of Infiltration Behavior", which was published in MDPI Materials in 2023 (DOI 10.3390/ma16062506). The data is structured into multiple packages: The properties of the liquids and materials used in the paper for the calculation of penetration coefficients using the Washburn equation are part of one package (“Experimental Properties of Water, Ethanol, iso-Propanol, 4 Commercial Nanolimes, and a Complex Coacervate”, DOI 10.48606/48). This includes densities, viscosities, rheometry data, surface tension measurement results, and contact angles. The recorded light microscopy infiltration time series in microfluidic devices made of PMMA (“Infiltration into PMMA – Light Microscopy Data”, DOI 10.48606/47) or PDMS (“Infiltration into PDMS – Light Microscopy Data”, DOI 10.48606/46) are provided as one separate data package for each material. The light microcopy data is provided in the original .czi format provided directly from the Zeiss light microscope in its entirety, as well as extracted csv files containing meniscus position vs. time data, plus video files for your convenience. Please see the readme file for more detailed overview information.

Cite this as

Hoyt, Andra-Lisa Maria (2024). Dataset: Datasets for "penetration coefficients of commercial nanolimes and a liquid mineral precursor into pore-imitating test systems". https://doi.org/10.48606/49

DOI retrieved: 2024

Additional Info

Field Value
Imported on November 28, 2024
Last update November 28, 2024
License CC BY 4.0 Attribution
Source https://doi.org/10.48606/49
Author Hoyt, Andra-Lisa Maria
Given Name Andra-Lisa Maria
Family Name Hoyt
Source Creation 2024
Publishers
University of Konstanz
Production Year 2023
Publication Year 2024
Resource Type Dataset - Microscopy Data, Densitiy and Viscosity measurements, Rheomtery results, surface tension and contact angle values
Subject Areas
Name: Chemistry

Related Identifiers
Identifier: 10.3390/ma16062506
Type: DOI
Relation: IsCitedBy

Identifier: 10.48606/48
Type: DOI
Relation: HasPart

Identifier: 10.48606/47
Type: DOI
Relation: HasPart

Identifier: 10.48606/46
Type: DOI
Relation: HasPart