This video segment from Wild Europe: "Wild Arctic" explores the struggle for survival in one of Earth's most extreme environments.

This issue of the free online magazine, Beyond Penguins and Polar Bears, explores the amazing birds that live in or migrate to the polar regions. The issue was co-produced with the Cornell Lab of Ornithology. In addition to content knowledge articles and lesson plans, the issue includes information about bird-themed citizen science programs from the Cornell Lab of Ornithology.

This article assembles free resources from the Arctic and Antarctic Birds issue of the Beyond Penguins and Polar Bears cyberzine into a unit outline based on the 5E learning cycle framework. Outlines are provided for Grades K-2 and 3-5.

This example Socratic questioning page provides an outline for leading a classroom discussion regarding whether or not nanobacteria exist. Sample questions, resources for background information, and tips and assessment information are provided.

This example Socratic questioning page provides an outline for leading a classroom discussion regarding whether or not viruses are alive. Sample questions, resources for background information, and tips and assessment information are provided.

This video segment adapted from NOVA features a variety of scientific perspectives on the age old question, "Are we alone in the universe?" Animations make vivid the improbability that we could intercept a radio wave signaling extra terrestrial intelligence.

This video segment explores the benefits and pitfalls of cloning as a means of reproduction. From Evolution: "Why Sex?"

This article reprints and links to informational text about the adaptations that allow mammals and fish to survive in polar oceans. Versions are available for students in grades K-1, 2-3 and 4-5. Related science and literacy activities are included.

In this feature, adapted from Interactive NOVA: "Earth," students explore the relationship between oxygen concentration and the well-being of various organisms by simulating a change in oxygen levels and observing what happens.

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Sections cover: Chemistry of Life; The Cell; Tissues: each of the systems of the body; the special senses. Includes lab manual.

This is a full Common Course Cartridge shell for BIO 201 Anatomy & Physiology I.Updated July 2023: Updated the labs and added homework from OpenStax Assignable.

This is a full Canvas course shell for BIO 201 Anatomy & Physiology II.Updated July 2023: Labs have been updated and Homework was added using OpenStax Assignable.

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(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Students are introduced to the concept of engineering biological organisms and studying their growth to be able to identify periods of fast and slow growth. They learn that bacteria are found everywhere, including on the surfaces of our hands. Student groups study three different conditions under which bacteria are found and compare the growth of the individual bacteria from each source. In addition to monitoring the quantity of bacteria from differ conditions, they record the growth of bacteria over time, which is an excellent tool to study binary fission and the reproduction of unicellular organisms.

Spreadsheets Across the Curriculum module. Students tabulate and graph data on bacteria density vs. time for a culture. Data start with innoculation and progress through the peak and decline.

Students explore static electricity by rubbing a simulated balloon on a sweater. As they view the charges in the sweater, balloon, and adjacent wall, they gain an understanding of charge transfer. This item is part of a larger collection of simulations developed by the Physics Education Technology project (PhET). The simulations are animated, interactive, and game-like environments.

In the master-equation formalism, a set of differential equations describe the time-evolution of the probability distribution of an ensemble of systems. This can be used, for example, to describe the varied mRNA copy numbers found in individual cells in a population.

The stochastic simulation algorithm (SSA, Kinetic Monte Carlo, Gillespie algorithm) produces an example trajectory for a particular member of a probabilistic ensemble by looping over the following steps. The current state of the system is used to determine the likelihood of each possible chemical reaction in relative comparison to the likelihoods for the other possible reactions, as well as to determine when the next reaction is expected. Pseudo-random numbers are drawn to "roll the dice" to determine exactly when the next reaction will proceed, and which kind of reaction it will happen to be.