Energy Research & Social Science

The attached data files contain 1. Energy Audit data for three retailers (3x files, filenames "Significant Energy Users"), which provide energy use data for all three retailers involved in the study. These were undertaken using the SEAI small business energy audit spreadsheet template. They also include calculations which were performed to quantify energy efficiency opportunities for discussion with retailers in follow up interviews. 2. Energy Efficiency Opportuninties worksheets (3x files, filenames "EE Opportunities worksheet") - which shows the printed worksheet of summarised energy use and energy efficiency opportunities presented to and discussed with each retailer during follow up interviews. 3. Retailer topic guide write up sheets (1x file) - write up of each interview with the three retailers involved with the study (2x interviews per retailer).

Coded source articles

Research data to support energy system decision theatres in the Utility 2050 project

Data for paper: Flipping the switch versus switching the bulb: Investigating why people prefer turning off the lights over using more efficient bulbs

Data and Code Book

The enclosed files provide the Stata scripts and data to replicate the results from the study.

This data includes all original variables used for the study.

The three files include the data used for the discourse network that was generated. The word file is all media articles retrieved, which was then uploaded to Discourse Network Analyzer to code the text. The coded text is available in the .dna file. The coded file was uploaded to the Visone software to generate the network seen in the article, this file is available in the .graphmlz file

The raw data sources are American Housing Survey National datasets from 2001 to 2015 (file location was D:/Dissertation1/Data/National). An example of sub-folder is "AHS 2001 National PUF v1.1 CSV" and under this folder there are multiple .csv files (e.g. "thoushld.csv"). I added iPhthon formatted R file for data cleaning and its final outcome is uploaded as "dataall_panel_180204.csv".

Landowner survey employed in study of northeastern U.S. landowner views on perennial bioenergy crops