text: Since the beginning of scientific glass research in the 19th century thousands of glass property-composition datasets were published. The first attempt to summarize all those data systematically was the monograph "Glastechnische Tabellen". World War II and the Cold War prevented similar efforts for many years afterwards. 
  In 1956, "Phase Diagrams for Ceramists" was published the first time, containing a collection of phase diagrams. This database is known today as "Phase Equilibria Diagrams". 
  In 1991, the Japanese database Interglad was created, followed by the publication of the "Handbook of Glass Data" in 1983. The "Handbook of Glass Data" was later digitalized and substantially expanded under the name SciGlass. Currently, SciGlass contains properties of about 400,000 glass compositions, INTERGLAD about 380,000, and "Phase Equilibria Diagrams" includes about 31,000 diagrams.
  In 2019, the SciGlass data is publicly available on GitHub under the ODC Open Database License (ODbL).
  In 2023, the re-emergence of the SciGlass database as SciGlass Sage which offers "AI" assistance, a property Predictor is powered by random forest regression models and the Generator uses the predictive models in conjunction with genetic algorithms.
  In 2024, the web database named [https://sciglass.uni-jena.de/ SciGlass Next] is an open-access database designed to bring the largest database of glass properties online. It utilizes the SciGlass data available on GitHub. The database is hosted in the public domain of Friedrich Schiller University Jena. 
  The website provides comprehensive documentation, including step-by-step instructions and glossaries of properties and symbols used. In addition, both light and dark themes are supported.
  Most features are covered, including:
  * Glasses: 422,000+ glasses and melts. Sourced from 40,000+ literature sources, including 19,700+ patents.
  * Data Tables: Search data and export tables for post-processing.
  * Data Visualization: Interactive data visualization with scatter plots, histograms, ternary plots, and curve fitting.
  * Authentication: Secured Single Sign-On (SSO) authentication of users.
  * ML Predictions (Future): Python-backed ML predictions for glass properties.
  * Sidebar Quick Lookup: Categories of patent index, trademark index, author index, subject index, spectral index and glass formation.