Data underlying the publication: Improvement of the interlayer bonding strength in a 3D-printed mortar with biocement sprayed into interlayer surfaces

DOI:10.4121/54e36c32-0af1-49df-8aee-07fa2eba1243.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/54e36c32-0af1-49df-8aee-07fa2eba1243

Datacite citation style

Dias-da-Costa, Daniel; Cao, Yifang; Shen, Luming; Abbas, Ali; Mukherjee, Abhijit (2025): Data underlying the publication: Improvement of the interlayer bonding strength in a 3D-printed mortar with biocement sprayed into interlayer surfaces. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/54e36c32-0af1-49df-8aee-07fa2eba1243.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This contains data necessary to generate the results reported in the paper concerning new technology for bio-healing 3d printed layers. Data was obtained via splitting tests carried out over two layers of printed material with and without bio treatment. The dataset includes imagery supporting observed data as well as the results of individual specimens.

History

  • 2025-04-07 first online, published, posted

Publisher

4TU.ResearchData

Format

image, docx

Organizations

The University of Sydney, School of Civil Engineering

DATA - restricted access

Reason

The data are not publicly available due to ongoing research activities, potential intellectual property considerations, and confidentiality related to proprietary information involved in the development of self-healing concrete and 3D printing technology.

End User Licence Agreement

The data provided upon request are intended exclusively for use in verifying or reproducing the findings of this research paper. By requesting access to this dataset, the user agrees to:


  • Use the data solely for non-commercial research purposes.
  • Not distribute, publish, or share the data with any third party without explicit written consent from the authors.
  • Properly cite this paper and acknowledge the source of the dataset in any resulting publications or presentations.
  • Comply with applicable laws, ethical standards, and privacy guidelines in the handling and use of the data.

The authors retain all rights to the data and reserve the right to withdraw permission to use the data at any time, should the terms of this agreement be violated.

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