This video provides a simple introduction to wind turbines and how they generate electricity.

This video features the story of a multi-generational family-run dairy business in Oregon that aspires for sustainability while serving a local market, conserving energy, and reducing greenhouse gas emissions by burning waste from its dairy cows.

Cartoon animation focusing on adapting to climate change, specifically in Wisconsin, by helping the community prepare for changes that are already impacting the region.

This activity introduces students to different forms of energy, energy transformations, energy storage, and the flow of energy through systems. Students learn that most energy can be traced back to nuclear fusion on the sun.

In this learning activity, students use a web-based carbon calculator to determine their carbon footprint on the basis of their personal and household habits and choices. Students identify which personal activities and household choices produce the most CO2 emissions, compare their carbon footprint to the U.S. and global averages, and identify lifestyle changes they can make to reduce their footprint.

This is a photo essay linked to a New York Times story about climate-related stressors on forests -- including mountain pine beetles, forest fires, forest clearance, and ice storms -- and the importance of protecting forests as an important carbon sink.

This straightforward calculator provides conversions from one unit of energy to the equivalent amount of CO2 emission expected from using that amount.

This short video shows how humanity uses energy today; what sources we use; and why, in the future, a growing global population will require more energy.

This is an animated interactive that displays, on a Global Viewer, NOAA datasets on hazards, ocean, and climate. User can visualize data on phenomena such as hurricanes, humpback whale migrations, carbon tracker, sea ice extent, IPCC scenarios on global warming.

In this activity for undergraduates, students explore the CLIMAP (Climate: Long-Range Investigation, Mapping and Prediction) model results for differences between the modern and the Last Glacial Maximum (LGM) and discover the how climate and vegetation may have changed in different regions of the Earth based on scientific data.

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