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The Open Dinosaur Project was founded to involve scientists and the public alike in developing a comprehensive database of dinosaur limb bone measurements, to investigate questions of dinosaur function and evolution. We have three major goals:1) do good science; 2) do this science in the most open way possible; and 3) allow anyone who is interested to participate. And by anyone, we mean anyone! We do not care about your education, geographic location, age, or previous background with paleontology. The only requirement for joining us is that you share the goals of our project and are willing to help out in the efforts.

We've found that certain search terms are good indicators of flu activity. Google Flu Trends uses aggregated Google search data to estimate flu activity.

This paper describes the design of OpenFOAM, an object- oriented library for Computational Fluid Dynamics (CFD) and struc- tural analysis. Efficient and flexible implementation of complex physi- cal models in Continuum Mechanics is achieved by mimicking the form of partial differential equation in software. The library provides Fi- nite Volume and Finite Element discretisation in operator form and with polyhedral mesh support, with relevant auxiliary tools and sup- port for massively parallel computing. Functionality of OpenFOAM is illustrated on three levels: improvements in linear solver technology with CG-AMG solvers, LES data analysis using Proper Orthogonal Decom- position (POD) and a self-contained fluid-structure interaction solver.

Complex coupled multi-physics simulations are playing increasingly important roles in scientific and engineering applications such as fusion plasma and climate modeling. At the same time, extreme scales, high levels of concurrency and the advent of multicore and many core technologies are making the high-end parallel computing systems on which these simulations run, hard to program. While the Partitioned Global Address Space (PGAS) languages is attempting to address the problem, the PGAS model does not easily support the coupling of multiple application codes, which is necessary for the coupled multi-physics simulations. Furthermore, existing frameworks that support coupled simulations have been developed for fragmented programming models such as message passing, and are conceptually mismatched with the shared memory address space abstraction in the PGAS programming model. This paper explores how multi-physics coupled simulations can be supported within the PGAS programming framework. Specifically, in this paper, we present the design and implementation of the XpressSpace programming system, which enables efficient and productive development of coupled simulations across multiple independent PGAS Unified Parallel C (UPC) executables. XpressSpace provides the global-view style programming interface that is consistent with the memory model in UPC, and provides an efficient runtime system that can dynamically capture the data decomposition of global-view arrays and enable fast exchange of parallel data structures between coupled codes. In addition, XpressSpace provides the flexibility to define the coupling process in specification file that is independent of the program source codes. We evaluate the performance and scalability of Xpress Space prototype implementation using different coupling patterns extracted from real world multi-physics simulation scenarios, on the Jaguar Cray XT5 system of Oak Ridge National Laboratory.

The Planetary Data System (PDS) is an archive of data products from NASA planetary missions, which is sponsored by the NASA Office of Space Science. We actively manage the archive to maximize its usefulness, and it has become a basic resource for scientists around the world. All PDS-produced products are peer-reviewed, well-documented, and easily accessible via a system of online catalogs that are organized by planetary disciplines

The Remote Sensing Information Gateway (RSIG) offers a new way for users to get the multi-terabyte, environmental datasets they want via an interactive, Web browser-based application. A file download and parsing process that now takes months will be reduced via RSIG to minutes.

Throughout history, humans have mainly relied on different forms of light to observe the universe. Today, we are on the edge of a new frontier in astronomy: gravitational wave astronomy. Gravitational waves carry information on the motions of objects in the universe. Since the universe was transparent to gravity moments after the Big Bang and long before light, gravitational waves will allow us to observe further back into the history of the universe than ever before. And since gravitational waves are not absorbed or reflected by the matter in the rest of the universe, we will be able to see them in the form in which they were created. Moreover, we will effectively be able to "see through" objects between Earth and the gravitational wave source. Most importantly, gravitational waves hold the potential of the unknown. Every time humans have opened new "eyes" on the universe, we have discovered something unexpected that revolutionized how we saw the universe and our place within it. Today, with the United States' gravitational wave detector (LIGO) and its international partners, we are preparing to see the universe with a new set of eyes that do not depend on light

Widespread use of a comprehensive CI framework has the potential to revolutionize every science and engineering discipline as well as education. Computing power, data volumes, software, and network capacities are all on exponential growth paths. Highly diverse, multidisciplinary collaborations and partnerships are growing dramatically, greatly enabled by new and emerging technologies, spanning multiple agencies and international domains to address complex grand challenge problems. Scientific discovery is being advanced by linking computational facilities and instruments to build highly-capable simulation models, sophisticated algorithms, software, and other tools and services. CIF21 will enable new approaches to research and education - supporting new modalities such as distributed collaborative networks, allowing researchers to more easily adapt to changes in the research and education process, and providing an integrated framework for people, instruments, and tools to address complex problems and conduct multidisciplinary research. CIF21 will consist of secure, geographically distributed, and connected CI: advanced computing facilities, scientific instruments, software environments, advanced networks, data storage capabilities, and the critically important human capital and expertise.

The US Nuclear Data Program (USNDP) collects, evaluates, and disseminates nuclear physics data for basic nuclear physics and for applied nuclear technology communities in the United States.

The Proton Accelerator Complex at Fermi National Accelerator Laboratory is composed of the accelerator complex and several experiments-both actual and proposed--that utilize its protons. The complex currently operates two proton beams that are used to generate neutrinos for short and long baseline neutrino experiments.

The NIH Human Connectome Project is an ambitious effort to map the neural pathways that underlie human brain function. The overarching purpose of the Project is to acquire and share data about the structural and functional connectivity of the human brain. It will greatly advance the capabilities for imaging and analyzing brain connections, resulting in improved sensitivity, resolution, and utility, thereby accelerating progress in the emerging field of human connectomics. Altogether, the Human Connectome Project will lead to major advances in our understanding of what makes us uniquely human and will set the stage for future studies of abnormal brain circuits in many neurological and psychiatric disorders.

Models of Infectious Disease Agent Study (MIDAS) is a collaboration of research and informatics groups to develop computational models of the interactions between infectious agents and their hosts, disease spread, prediction systems and response strategies. The models will be useful to policymakers, public health workers and other researchers who want to better understand and respond to emerging infectious diseases. If a disease outbreak occurs, the MIDAS network may be called upon to develop specific models to aid public officials in their decision-making processes. More information about MIDAS is available at the links below.

The following post is by Andrew Magliozzi founder of FinalsClub.org and one of the developers working on the Annotator javascript library and the AnnotateIt service. Scholars, bring us your ancient, worn, and insightful annotations. We have the tools to help you collect and connect your knowledge of Plato, Dante, Shakespeare, Eliot and others.

Two years after the financial crisis, Wall Street has recovered, but has our economics fundamentally changed? We revisit a 2009 post-crisis interview with pioneering ecological economist Herman Daly who, through the lens of biophysics, urges us to think about economies that flourish - without growth.

Posted by Tom Kalil on March 29, 2012 at 09:23 AM EDT [Editor's Note: Watch the live webcast today at 2pm ET of the Big Data Research and Development event athttp://live.science360.gov/bigdata/ ] Today, the Obama Administration is announcing the "Big Data Research and Development Initiative."

I have been the position where some people know me both offline and online. It seems to me that digital professionalism is management speak for something we do as a matter of course. I have always considered myself an introvert, which may or may not come as a surprise to those of you who only know me on Twitter or through my blog.

New requirements for future users and uses (by Serena Cangiano)