This Shiny server hosts interactive applications developed to support teaching biology. My tools are designed to make complex analyses and quantitative literacy accessible and interactive, allowing students to explore data through simulations and test hypotheses with student-collected data. This server hosts several Shiny applications written in R.
An interactive tool for grade estimation and analysis. Calculate your current grade and explore different scenarios for future assignments.
A tool exploring the scientific process and evidence we have for the cell cycle. Visualize flow cytometry predictions based on cell cycle theory.
Explore evolutionary patterns and dynamics in mice populations. Simulate natural selection and genetic drift with interactive parameters.
Visualize and interpret impacts of natural selection and drift on a model candy population.
Analyze and visualize bird community data and patterns. Calculate biodiversity metrics and explore rank-abundance curves.
An app that uses real atmospheric carbon dioxide estimates to model future levels, including a linear, exponential, and quadratic model.
A multi-purpose app that lets students submit, analyze, and download data on the ecology of a Pinyon-Juniper High Desert ecosystem. Investigate plant-parasite relationships across environmental gradients.
A multi-purpose app that lets students submit, analyze, and download data on the ecology of a High Desert Grassland. Track species composition changes over multiple years.
Create a trendline from real homonin fossil age and brain volume data.
For questions about specific applications or to report technical issues, please contact Dr. Montemarano at [email protected]
Office: 211F Wubben Science, Colorado Mesa University
Department of Biological Sciences