Research Data Leeds Repository

Dataset for 'Suitability of excavated London Clay as a supplementary cementitious material: Mineralogy and Reactivity'

Dhandapani, Yuvaraj and Marsh, Alastair T.M. and Rahmon, Suraj and Kanavaris, Fragkoulis and Papakosta, Athina and Bernal, Susan A. (2023) Dataset for 'Suitability of excavated London Clay as a supplementary cementitious material: Mineralogy and Reactivity'. University of Leeds. [Dataset] https://doi.org/10.5518/1438

Dataset description

Raw data for all Figures in the linked paper

Divisions:	Faculty of Engineering and Physical Sciences > School of Civil Engineering
Related resources:	Location Type https://doi.org/10.1617/s11527-023-02260-3 Publication https://eprints.whiterose.ac.uk/204662/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	29 Nov 2023 13:14
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/1200
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Dhandapani, Yuvaraj https://orcid.org/0000-0001-9687-5474 University of Leeds https://ror.org/024mrxd33 ror Marsh, Alastair T.M. https://orcid.org/0000-0002-5603-4643 University of Leeds https://ror.org/024mrxd33 ror Rahmon, Suraj University of Leeds https://ror.org/024mrxd33 ror Kanavaris, Fragkoulis ARUP https://ror.org/057d3rj91 ror Papakosta, Athina Railways JV Bernal, Susan A. https://orcid.org/0000-0002-9647-3106 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EPSRC Grant numbers: EP/T008407/1, EP/R001642/1 Publication date: 2023 Resource language: English Publisher: University of Leeds Contact Email Address: Y.Dhandapani@leeds.ac.uk Last Modified: 29 Nov 2023 23:35

Files

Data

Raw_data_All_Figures_Dhandapani_et_al.2023_MAAS.xlsx [25MB] Raw_data_All_Figures_Dhandapani_et_al.2023_MAAS.xlsx [25MB] Raw_data_All_Figures_Dhandapani_et_al.2023_MAAS.xlsx [25MB] Visible to: Anyone File name: Raw_data_All_Figures_Dhandapani_et_al.2023_MAAS.xlsx Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 25MB