Lignin nanoparticles-stabilized Pickering emulsions data explorer

Interactive LNP-stabilized Pickering Emulsions Data Explorer v1.0.0 This is the initial public release of the Interactive LNP-stabilized Pickering Emulsions Data Explorer, a web-based tool for the scientific community. This version accompanies the critical review submitted to Advances in Colloid and Interface Science, titled "Lignin Nanoparticles as Pickering Stabilizers: Emulsion Engineering through Physicochemical Design." Project overview: This tool provides an interactive interface to a curated database of peer-reviewed scientific articles focused on lignin nanoparticle (LNP)-stabilized Pickering emulsions. It is designed to help researchers visualize complex relationships between lignin physicochemical properties (type, modification, surface charge), processing conditions, and emulsion outcomes (stability, droplet size). Features in this release: Interactive scatter plot: Dynamically explore relationships between any two numerical variables from the dataset. Data points can be colored by category (e.g., Lignin Type, Modification) and filtered. Droplet size distribution plot: Compare emulsion droplet sizes across different categorical groups using box plots. Correlation matrix: A heatmap that visualizes the Pearson correlation coefficients between all numerical parameters in the database (Particle Size, Zeta Potential, Concentration, pH, Droplet Size). Direct article linking: Click on any data point in the scatter plot to open the corresponding scientific article via its DOI. CSV data download: The complete, curated dataset is available for download directly from the user interface. Technology stack: HTML5 Tailwind CSS for styling Plotly.js for interactive data visualization Vanilla JavaScript for data processing and user interaction How to cite: Marquez, R., Aguado, R. J., Tarrés, Q., Tolosa, L., Tardy, B. L., Rojas, O. J., Hubbe, M. A., & Delgado Aguilar, M. (2025). Interactive LNP-stabilized Pickering Emulsions Data Explorer (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.17648662 v1.0.1 Initial release accompanying the manuscript submission.