Research output per year
Research output per year
Description
The attached data files underpin the thesis publication “WillCO2st for UK Research Sustainability Reporting”. The following file types and formats are included:
- CSV Files: "experiment_time_conducted", "willco2st_plot_data" are raw data used to calculate Figure 4's CO2e calculations and time variation. Directly utilised by the Python Script.
- PDF File: "User_Guide" is the PDF explaning the functionality of the WilllCO2st .exe program.
- Juypter Source File: "WillCO2st Figure 4" is the Python Juypter code that was used to calculate and plot all of the information presented in Figure 4 and statistics reported under "Experimental Variation" in the paper.
- exe file: "WillCO2st_0.01.0_x64-setup" is the .exe install wizard for downloading and running WillCO2st, the main software presented in the paper.
- CSV Files: "experiment_time_conducted", "willco2st_plot_data" are raw data used to calculate Figure 4's CO2e calculations and time variation. Directly utilised by the Python Script.
- PDF File: "User_Guide" is the PDF explaning the functionality of the WilllCO2st .exe program.
- Juypter Source File: "WillCO2st Figure 4" is the Python Juypter code that was used to calculate and plot all of the information presented in Figure 4 and statistics reported under "Experimental Variation" in the paper.
- exe file: "WillCO2st_0.01.0_x64-setup" is the .exe install wizard for downloading and running WillCO2st, the main software presented in the paper.
| Date made available | 31 Jul 2026 |
|---|---|
| Publisher | University of St Andrews |
Research output
- 1 Article
-
WillCO2st: leveraging freely available real-time carbon forecasting for research emissions reporting
Smith, W. V. & Pulver, S., 30 Jul 2026, (E-pub ahead of print) In: PLOS Sustainability and Transformation. Online First, e0000257.Research output: Contribution to journal › Article › peer-review
Open AccessFile