Data supporting the manuscript: Assessing the potential application of bacteria-based self-healing cementitious materials for enhancing durability of wastewater treatment infrastructure, Cement and Concrete Composites (Volume 143, October 2023, 105259; article reference CECO 105259)
Version 2 2023-09-01, 13:06Version 2 2023-09-01, 13:06
Version 1 2023-08-19, 06:23Version 1 2023-08-19, 06:23
Posted on 2023-09-01 - 13:06 authored by Irina Ofiteru
This data includes figures, diagrams and the raw results supporting the manuscript “Assessing the potential application of bacteria-based self-healing cementitious materials for enhancing durability of wastewater treatment infrastructure”, authors: Bagga, Manpreet; Justo-Reinoso, Ismael; Hamley-Bennett, Charlotte; Merces, George; Luli, Saimir; Akono, Ange Therese; Masoero, Enrico; Paine, Kevin; Gebhard, Susanne; Ofiţeru, Irina D (2023).
Items include objects referenced in the above manuscript:
Section 3.1 Waste water parameters Set II
Section 3.1 Wessex Water tap water quality
Figures 3 – 7 Raw data for wastewater and tap water samples
Figure 8 Raw data for the crack width changes from Day 0 to Day 56
Figure 9 Raw data from the microCT scanning
Figures 10 – 11 SEM.zip
EDX.zip: data included in Table 2 and Figure 12
Raman.zip: all Raman spectra included in Figure 13
Table 1 – Mortar proportions for producing the bottom layer of all mortar formulations
Table 2 Calcium content (%) at different regions on the mortar prisms as measured with SEM-EDX
Appendix B Wastewater metagenome composition
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Ofiteru, Irina (2023). Data supporting the manuscript: Assessing the potential application of bacteria-based self-healing cementitious materials for enhancing durability of wastewater treatment infrastructure, Cement and Concrete Composites (Volume 143, October 2023, 105259; article reference CECO 105259). Newcastle University. Collection. https://doi.org/10.25405/data.ncl.c.6638210.v2
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FUNDING
This work was funded by EPSRC Standard Grant Engineering Microbial-Induced Carbonate Precipitation via Meso-Scale Simulations (eMICP) (Newcastle University EP/S013997/1; University of Bath EP/S013857/1; Cardiff University EP/S01389X/1).