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This text describes the data presented in the paper: Identifying Key Technology and Policy Strategies for Sustainable Cities: A Case Study of London 

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Introductory information
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Files included in the data deposit (include a short description of what data are contained): 

1) 2016_11_24_MSA_model_code_M_files.zip
2) 2016_11_24_MSA_input_file.xlsx
3) 2016_11_24_RSA_Simulation_Results_MAT_files.zip
4) 2016_11_24_MSA_output_file_and_figures_and_tables.xlsx
5) 2016_11_24_msa_manual_early_draft.pdf
6) 2016_11_24_MSA_code_printout.pdf
7) 2016_11_24_MSA_code_flow_diagram.pdf
8) 2016_11_24_Figures_4_to_6_data_dump_from_MATLAB.xlsx
9) 2016_11_24_Figure_4_P8_printout.pdf
10) 2016_11_24_Figure_5_P8_printout.pdf
11) 2016_11_24_Figure_6_P2_printout.pdf

Explain the relationship between multiple data sets, if required:
- 2016_11_24_MSA_model_code_M_files.zip contains the code of the Multi-sectoral Systems Analysis (MSA) tool as written in Matlab language. The code printout is available in 2016_11_24_MSA_code_printout.pdf so that it can be viewed by those without access to Matlab. 
- Data for the London case (illustrated in the present publication) are compiled by the user in 2016_11_24_MSA_input_file.xlsx and the tools reads these data.
- The results of the the data processed by the MSA tool are stored in DAT files (grouped in 2016_11_24_RSA_Simulation_Results_MAT_files.zip) and summarized in 2016_11_24_MSA_output_file_and_figures_and_tables.xlsx. This last excel file processes the output data to generate tables and figures.
- Data requirements, how this data is entered into the input file, and how the tool can be calibrated is explained in 2016_11_24_msa_manual_early_draft.pdf. However, this is an early draft and not comprehensive document. A companion to the user manual is 2016_11_24_MSA_code_flow_diagram.pdf that depicts how the various code modules are interconnected and how simulations are run by the tool. 
- The PDFs files 2016_11_24_Figure_4_P8_printout.pdf, 2016_11_24_Figure_5_P8_printout.pdf, 2016_11_24_Figure_6_P2_printout.pdf are simply a printed version of the plots generated by the MSA tools when running the London data.
- 2016_11_24_Figures_4_to_6_data_dump_from_MATLAB.xlsx contains a tabulated version of the plots generated by the tool, and these plots (figures 4 to 6 in the manuscript) are presented in 2016_11_24_Figure_4_P8_printout.pdf, 2016_11_24_Figure_5_P8_printout.pdf, and 2016_11_24_Figure_6_P2_printout.pdf. 

Key words used to describe the data:

consumption patterns; water use; energy use; fertilizer use; food use; precipitation; population; land use; composition of materials; power generation capacity, wastewater treatment capacity; technology performance.


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Methodological information
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A brief method description – what the data is, how and why it was collected or created, and how it was processed:
- Data collected includes consumption patterns such as residential and industrial water use, energy demand for transportation and buildings, and food consumption per capita. Data also included nutrient composition (phosphorus and nitrogen), energy content, and water content of materials that entered the system.
- Data were collected from various sources including government websites and publications, peer-reviewed publications, business reports, and reports from non-profit or international organizations. 


Instruments, hardware and software used: 
1) Personal Computer with a Dell Processor i7 and 12 GB RAM
2) MATLAB 8.3 (R2014a) from Mathworks. No special toolboxes were used. 


Date(s) of data collection: 
From 2012 to 2016


Geographic coverage of data:
Greater London area in the United Kingdom.


Data validation (how was the data checked, proofed and cleaned):
Typically data was gathered from trusted sources such as:
- The Department for Environment, Food, and Rural Affairs in the UK (DEFRA)
- The Department of Energy & Climate Change in the UK (DECC)
- Other data generated by government departments and agencie as published by www.data.gov.uk
- Food and Agriculture Organization of the United Nations (FAO)
When data were identified to be deficient in terms of its completeness and accuracy, data were cross-checked with other publications including peer-reviewed journals and data from regions with comparable characteristics.
  


Overview of secondary data, if used:



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Data-specific information
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Definitions of names, labels, acronyms or specialist terminology uses for variables, records and their values: 
Nomenclature used for variables:
BOD biochemical oxygen demand; C carbon; CCP coal combustion products; CH carbohydrate; CO commercial; COD chemical oxygen demand; DE digestible energy; DM dry mass; DO domestic/residential; E energy; F Fahrenheit; GW ground water; H hydrogen; IN industrial; MLSS mixed liquor suspended solids; MSW municipal solid waste; N nitrogen; NG natural gas; O oxygen; OM organic material; P phosphorus; SW surface water; r&r recycling and reuse; WWTP wastewater treatment plant.


Explanation of weighting and grossing variables: 
N/A


Outline any missing data:
N/A


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Contact
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Please contact rdm@ncl.ac.uk for further information