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Microbe World: Podcasts and Videos
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The Podcasts & Videos section of Microbe World, a website dedicated entirely to microbes and their interactions with humans, animals, plants, and the environment, are as entertaining as they are informative. Here readers will find six different podcast series: This Week in Microbiology, This Week in Virology, This Week in Parasitism, MicroWorld Video, BacterioFiles, and the Spanish-language educational program, Mundo de los Microbios. In addition, readers will find much to explore in the two documentaries on the site, including the four-part series Intimate Strangers: Unseen life on Earth. Educators teaching microbiology and related subjects will find hours of audio and video resources...
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Skateboard Science
Authored by Paul Doherty, Pearl Tesler and Noel Wanner for Exploratorium, this site analyzes the physics of skateboarding in great detail. It goes into many...
RLC Circuit with Alternating...
This applet simulates the behavior of a simple RLC circuit with an AC voltage source. The user can change the period of the voltage source, the inductance, and...
Fossil Fuels: Oil PDF
This lesson provides an introduction to the world oil market and the United States' dependence on it. Topics include our current usage, sources, and the...
Acid Rain PDF
Due to the presence of dissolved gases such as carbon dioxide, rainfall is naturally acidic. The release of other gases and chemicals such as sulfur dioxide...
Soil Composition PDF
Soil is essential for life on Earth. It is needed for food, air, clothing and so much more. Discussion topics include the terms 'soil', 'dirt', and 'sediment',...



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AMSER is funded by the National Science Foundation as part of the National Science Digital Library, and is being created by a team of project partners led by Internet Scout.
Computer illustration of an atom structure.
Sheet of mathematic formulas.
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Data Mining, one of the emerging fields to consider according to the Society for Industrial and Applied Mathematics, deals with "the discovery of patterns and previously unknown information in large data sets."


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