Similarity-Based Analysis of Atmospheric Organic Compounds for Machine Learning Applications

This repository contains code and data for analyzing the similarity of atmospheric compounds using computational approaches, used in the manuscript "Similarity-Based Analysis of Atmospheric Organic Compounds for Machine Learning Applications". It includes: - Python scripts for data processing and analysis. - Jupyter notebooks for exploratory data analysis. - Raw datasets from public repositories, with individual licensing information provided in the `data/raw/` directory. To get started, clone the repository and refer to the provided scripts and notebooks. Licensing: - Code and documentation are licensed under GNU General Public License v3.0. - Datasets are licensed as specified by their original authors. Detailed licensing information is available in the repository. Please cite this repository using its DOI if you use it in your work.