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This highly customizable activity guides students through organizing and documenting spreadsheet data during a class investigation.

This video follows germplasm bank coordinator Cristian Zavala Espinosa and geneticist Sarah Hearne, who are part of the global effort to preserve the genetic diversity of maize (corn).

This video follows biologist Elinor Karlsson, who studies dogs to find genes associated with traits, including certain diseases.

In this activity, students engage in key science practices that scientists used to figure out ecosystem dynamics in the Serengeti.

In this activity, students work with authentic research data to explore the impact of poaching on African elephants.

This activity explores images of elephants with and without tusks, which serve as phenomena for learning about selection and human impacts on the frequency of traits within populations.

In this activity, students learn about the factors that regulate the population sizes of wildebeest and buffalo in Serengeti National Park.

In this activity, students explore using CRISPR-Cas9 to knock out butterfly genes in order to determine their function.

In this activity, students analyze aspects of a scientific paper that investigates genes involved in the colors and patterns of butterfly wings.

This data-driven activity accompanies the video Selection for Tuskless Elephants. It engages students in analyzing data to make evidence-based claims about the occurrence of tusklessness in elephant populations.

This activity guides the analysis of a published scientific figure from a study that investigated demographic patterns in Ebola outbreaks from the Democratic Republic of the Congo.

This activity supports using the citizen science platform WildCam Gorongosa in the classroom. It engages students in calculating species richness, evenness, and the Shannon diversity index for various habitat types using data from trail cameras in Gorongosa National Park.