A wide variety of HHMI BioInteractive classroom activities use authentic research data. Many of these activities include essential data analysis techniques or producing data visualizations in Excel or Google Sheets. Other resources teach the fundamentals of spreadsheet programs to organize data, calculate descriptive statistics, and produce basic graphs.
Participants in the 2020 HHMI/QUBES Faculty Mentoring Network produced data visualization/statistical analysis teaching modules featuring authentic scientific research data to tell exciting biological stories. Check out some of their new materials ready for the classroom:
This data set was compiled from worldwide data to examine the effects of drought on trees. Included in the dataset are measurements of growth and mortality as they relate to the size category of trees sampled.
This plant-biology data analysis module compares concentrations of defensive alkaloid compounds among tissue types in two species of the flowering-plant Lupine (Fabaceae). Students practice with hypotheses, data visualization, analysis and interpretation.
In this activity, students will explore a dataset of fungi dispersal capabilities and colonizing success to test the predictions of island biogeography theory.
Using this dataset, we explore how opioids affect the electrical activity of neurons when exposed to different opioid receptor agonists and antagonists.
This dataset was collected from interviews conducted by the Centers for Disease Control and Prevention. State by state data are provided to explore the interactions of education, income, and race/ethnicity with obesity.
In this activity, students will explore how the Ebola virus outbreak occurred in West Africa through graphing prevalence, incidence and mortality data from the three major countries that were affected by the Ebola virus in 2014 - 2016
