Metadata record for the article: Analysing the life cycle greenhouse (GHG) emissions of cities: decoupling density from tallness

<b>Summary</b><br> This metadata record provides details of the data supporting the claims of the related article: “Decoupling density from tallness in analysing the life cycle greenhouse gas emissions of cities”. The related study proposes a method that decouples density and tallness of buildings in urban environments and allows each to be analysed individually when estimating life cycle greenhouse gas (GHG) emissions. Type of data: quantitative analysis of life cycle greenhouse gas (GHG) emissions Sample size: 5000 synthetically generated urban environments (5 different cases with 1000 urban environments per case) Sampling strategy: The urban environments are generated through stochastic modelling, which relies on input data collected from real buildings, cities and neighbourhoods. <b>Data access</b> All code and supporting data can be accessed via <i>GitHub</i> at https://github.com/jayarehart/Denser-Taller. Static versions of the two data files included in the <i>GitHub </i>repository have also been included with this <i>figshare </i>data record (downloaded from <i>GitHub </i>on 24/05/2021). These files are ‘fixed_area.xlsx’ and ‘fixed_pop.xlsx’. Additional supplementary data and notes are available in the files ‘supplementary_methods.xlsx’ (Excel spreadsheet with multiple tabs) and ‘supplementary_notes.pdf’, which are publicly available in the <i>Mendeley Data </i>repository at https://doi.org/10.17632/kj3zn5nx6b.1, as well as together with this <i>figshare </i>data record. <b>Corresponding author(s) for this study</b> Francesco Pomponi, Resource Efficient Built Environment Lab (REBEL), Edinburgh Napier University. [e-mail].