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In this graphing activity (on pages 33-40), learners investigate how much and what kinds of food sea otter pups eat during their first year of life.

In this activity, groups of learners work together to create edible models of chemicals involved in autotrophic nutrition.

This is an outdoor activity designed to demonstrate evolution of feeding behavior in flocking, schooling or herding animals that maximizes allocation of food resources and enhances survival.

In this math lesson, learners model exponential decay and exponential growth using M&M's, paper folding, and African rhino population data.

In this data analysis activity, learners quantify the abundance and distribution of sea scallops in and adjacent to the Mid-Atlantic closed areas.

In this data analysis activity, learners use data collected by the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) to study Chilean sea bass populations.

In this set of outdoor games, learners increase their awareness of the outdoor environment by going on a scavenger hunt and an out-of-place hunt.

In this activity, learners will investigate the impacts of harmful phytoplankton using NOAA's Coastal Services Center Harmful Algal Bloom Forecasting (HABF) Project data.

In this activity, learners solidify their conceptualization of cells by building a model of a cell in a ziplock bag.

This guided inquiry three-part activity engages learners in thinking about the mechanism of natural selection through data collection and pattern recognition.

In this math activity, learners use a variety of sensory modalities to gain experiences with identifying, describing and creating repeating patterns.