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NISEE: National Information Service for...
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Screenshot The National Information Service for Earthquake Engineering (NISEE) has a huge collection of earthquake data and images for researchers or anyone with a passing interest in these destructive forces. Operated at the University of California, Berkeley, the site has ten "eBooks" that range in topic from introductory earthquake engineering to earthquake risk-reduction measures. A giant database is given on the site with over 100,000 abstracts of research papers and reports. The Structural Engineering Slide Library has many fascinating pictures of notable modern buildings, and the Kozak Historical Image Collection shows artist renderings of many earthquakes that date back over 2,000 years.
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Fogarty International Center:...
Assembled by the Fogerty International Center at the National Institutes of Health, this page of resources designed for teachers of bioethics can be useful to...
NSTA: Freebies for Science Teachers
With new resources being added almost daily, this page from the National Science Teachers Association (NSTA) is worth bookmarking for science educators of all...
Nano: For K-12 Teachers
As this informative page from the United States National Nanotechnology Initiative notes, there is an ongoing debate in STEM circles about how to teach...
The Molecularium Project
The Molecularium seeks to "excite audiences of all ages to explore and understand the molecular nature of the world around them." Based at the Rensselaer...
John Heeley's Masterclass
Jonny Heeley, a British math teacher, has been featured in The Guardian, and recordings of his masterclasses can be found around the Internet. It's easy to see...



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AMSER is a portal of educational resources and services built specifically for use by those in Community and Technical Colleges but free for anyone to use.

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.
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Materials Science is a career field expected to have rising opportunities in the future due to its dependence on "mathematical models and computational tools." Many fields involving materials science, such as engineering and biology, have promising career opportunities.


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