Supplementary material for: Ecologically Inspired Metrics for Transitioning to a Sustainable and Resilient Circular Economy with Application to Multilayer Plastic Films
Description
Description This repository contains supplementary files for the journal manuscript titled *Ecologically Inspired Metrics for Transitioning to a Sustainable and Resilient Circular Economy with Application to Multilayer Plastic Films*. The supplementary files include an Excel file and a Jupyter Notebook that support the findings and methodologies discussed in the manuscript. Contents 1. Results.xlsx: This Excel file contains the results for the indicators for the multilayer plastic film example discussed in the paper. It also includes the calculations for greenhouse gas (GHG) emissions. 2. Source code.ipynb: This Jupyter Notebook contains the network analysis and detailed calculations of Eco-inspired indicators related to the multilayer film. The notebook uses various CSV files for input data, which are located in the `data` folder. 3. data: This folder contains all the CSV files (network flow data) used by the Jupyter Notebook for the calculations and analysis for multilayer films. 4. Eco-inspired-tool.ipynb: This Jupyter Notebook is designed to calculate Eco-inspired metrics for a network provided by the user. The instructions for using this notebook are included within the file. Instructions 1. Results.xlsx: Open this file with any spreadsheet software (e.g., Microsoft Excel, Google Sheets) to view the results and GHG emissions calculations. 2. Jupyter Notebook: - Ensure you have Python and Jupyter Notebook installed. You can install Jupyter Notebook using Anaconda or pip. - Navigate to the directory containing the `Source code.ipynb` file. - Launch Jupyter Notebook by running the following command in your terminal or command prompt: ```bash jupyter notebook ``` - Open the `Source code.ipynb` file in Jupyter Notebook. - Execute the cells to reproduce the network analysis. The notebook reads the required data from the CSV files in the `data` folder. Dependencies The Jupyter Notebook requires the following Python packages: - numpy - pandas - math (standard library) - scipy.special You can install these packages using pip: ```bash pip install numpy pandas scipy ``` Contact For any questions or further information, please contact fnazemi@asu.edu.