science 2.0

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.

ParaView is an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView's batch processing capabilities. ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of terascale as well as on laptops for smaller data.

The Kepler Project is dedicated to furthering and supporting the capabilities, use, and awareness of the free and open source, scientific workflow application, Kepler. Kepler is designed to help scien­tists, analysts, and computer programmers create, execute, and share models and analyses across a broad range of scientific and engineering disciplines. Kepler can operate on data stored in a variety of formats, locally and over the internet, and is an effective environment for integrating disparate software components, such as merging "R" scripts with compiled "C" code, or facilitating remote, distributed execution of models. Using Kepler's graphical user interface, users simply select and then connect pertinent analytical components and data sources to create a "scientific workflow"-an executable representation of the steps required to generate results. The Kepler software helps users share and reuse data, workflows, and compo­nents developed by the scientific community to address common needs.

The world's largest set of data on human genetic variation - produced by the international 1000 Genomes Project - is now publicly available on the Amazon Web Services (AWS) cloud, the National Institutes of Health and AWS jointly announced today. The public-private collaboration demonstrates the kind of solutions that may emerge from the Big Data Research and Development Initiative announced today by the White House Office of Science and Technology Policy (OSTP) during an event at the American Association for the Advancement of Science in Washington, D.C.

The Defense Innovation Marketplace is a centralized online resource to better connect industry with government customers to invigorate innovation.

A large archive of medical images of cancer accessible for public download. Registering is free. All images are stored in DICOM file format. The images are organized as "Collections", typically patients related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus.

Driven by input from its scientific community, the Cancer Imaging Program (CIP) finds itself at the junction of two powerful scientific requisites; the need for cross-disciplinary research and inter-institutional data-sharing to speed scientific discovery and reduce redundancy, and the need to provide imaging phenotype data to augment large scale genomic analysis.

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.

Keep informed about advances in structural biology and structural genomics. Discover how protein sequences, three-dimensional structures and models relate to biological function. Stay up to date with the latest protocols, materials and technologies.