ABCE is a Python Agent-Based Complete Economy Platform, written by Davoud Taghawi-Nejad. With ABCE, you can write economic, agent-based simulations in python. ABCE handles, trading production an consumption automatically. The agents, written by the modeler do only have to make the decisions and instruct the platform to trade, produce and consume. ABCE makes sure the economy is closed, that means no goods appear, disappear or are otherwise unaccounted for. It is therefore particularly useful for macre models. ABCE's model output are compatible with R, Excel and sqlite.

The Open Science Grid (OSG) advances science through open distributed computing. The OSG is a multi-disciplinary partnership to federate local, regional, community and national cyberinfrastructures to meet the needs of research and academic communities at all scales

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

The goal of EarthCube is to transform the conduct of research by supporting the development of community-guided cyberinfrastructure to integrate data and information for knowledge management across the Geosciences. This website has been set up to foster community collaboration, and will provide updated information, resource documents, and discussion forums so that community groups, consortia, researchers, and educators can share ideas, introduce concepts, and find and develop collaborative efforts.

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 Multimission Archive at STScI (MAST) is a NASA funded project to support and provide to the astronomical community a variety of astronomical data archives, with the primary focus on scientifically related data sets in the optical, ultraviolet, and near-infrared parts of the spectrum.

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.

ESTO's Advanced Information Systems Technology (AIST) program employs an end-to-end approach to evolve technologies - from the space segment, where the information pipeline begins, to the end user, where knowledge is advanced.

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 FES SciDAC portfolio focuses on the development and application of high physics fidelity simulation codes that can advance the fundamental science of magnetically confined plasmas by fully exploiting leadership class computing resources and contribute to the FES goal of developing the predictive capability needed for a sustainable fusion energy source. The specific areas of interest of the Partnerships are: Edge Physics Multiscale Integrated Modeling Materials Science

The Atmospheric Radiation Measurement (ARM) Climate Research Facility is a multi-platform scientific user facility that supports research for addressing the major uncertainties of climate models - clouds and aerosols. ARM provides the national and international research community unparalleled infrastructure for obtaining precise observations of key atmospheric phenomena needed for the advancement of atmospheric process understanding and climate models. Within DOE, ARM's major clients are the Atmospheric System Research (ASR), Regional and Global Climate Modeling and Earth System Modeling programs. The primary ARM objective is improved scientific understanding of the fundamental physics related to interactions between clouds, aerosols, and radiative feedback processes in the atmosphere; in addition, ARM has enormous potential to advance scientific knowledge in a wide range of interdisciplinary Earth sciences.

The distributed network environment research program in the Office of Advanced Scientific Computing conducts research and development activities to support distributed high-end science in the Office of science. It focuses on end-to-end of high-performance, high-capacity and middleware network technologies necessary to provide secure access to distributed science facilities, high-performance computing recourses and large-scale scientific collaborations.

VisIt is a free interactive parallel visualization and graphical analysis tool for viewing scientific data on Unix and PC platforms. Users can quickly generate visualizations from their data, animate them through time, manipulate them, and save the resulting images for presentations. VisIt contains a rich set of visualization features so that you can view your data in a variety of ways. It can be used to visualize scalar and vector fields defined on two- and three-dimensional (2D and 3D) structured and unstructured meshes. VisIt was designed to handle very large data set sizes in the terascale range and yet can also handle small data sets in the kilobyte range. See the table below for more details about the tool's features.