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The Area-I team has developed and flight tested the unmanned Prototype-Technology Evaluation and Research Aircraft or PTERA ("ptera" being Greek for wing, or wing-like). The PTERA flew successfully during Phase I of this program, and stands to enhance the already capable NASA Aeronautics Test Program (ATP) by enabling the low-cost, low-risk, flight-based evaluation of everything from advanced aerodynamic treatments to control systems and sensor payloads. The PTERA will bridge the gap between wind tunnel testing and manned flight testing to greatly reduce technology development time, cost, and risk. This work seeks to further mature the PTERA system through rigorous flight testing and will begin the integration of the PTERA into the NASA ATP through the delivery of a new PTERA baseline system to NASA. Several core capabilities that the PTERA would bring to the ATP include: 1) A low-cost, low-risk flight test facility that can be used to expand ATP's role in the testing and validation of NASA's physics-based multi-disciplinary analysis and optimization (MDAO) tools 2) The ability to flight test advanced aerodynamic treatments, health management and control systems, and to perform experiments in structures and aeroelasticity for a fraction of the cost of a manned flight test program. 3) The ability to flight test cutting-edge and complex systems whose cost and risk are too high for manned flights. 4) A testbed with modular airframe that enables the evaluation of multiple technologies with the same airframe. 5) A testbed with a large payload capacity that facilitates the inexpensive and risk-mitigating flight test evaluation of a wide array of sensors and payloads as well as the evaluation of flight-test measurement systems before they transition to manned programs. 6) The ability to perform unmanned, autonomous, flight experiments relating to the burgeoning field of autonomous unmanned aircraft, including experiments supporting UAS integration into the NAS.

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The CRM Discovery Checklist supports attorneys in tracking case discovery requirements.

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This dataset consists of numerous retrieved estimates of hydrological variables and trace gases as Environmental Data Record (EDR) products from the NOAA-Unique CrIS-ATMS Processing System (NUCAPS). NUCAPS was developed by the NOAA/NESDIS Center for Satellite Application and Research (STAR) and is produced operationally at the NOAA/NESDIS Office of Satellite and Product Operations (OSPO). The Cross-track Infrared Sounder (CrIS) onboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite is a Fourier transform spectrometer with a total of 1,305 spectral channels covering the longwave IR (9.14 - 15.38 um), midwave IR (5.71 - 8.26 um) and shortwave IR (3.92 - 4.64 um) wavelengths. The Advanced Technology Microwave Sounder (ATMS) also onboard the S-NPP satellite is a cross-track scanner with 22 channels in spectral bands from 23 GHz through 183 GHz. The full spectrum NUCAPS Cloud-Cleared Radiances (CCRs) are used to retrieve the EDR products. The EDR or Standard Product consists of retrieved estimates of hydrological variables including temperature, water vapor, cloud fraction and cloud top pressure, along with trace gas retrievals including ozone (O3), methane (CH4), carbon monoxide (CO), carbon dioxide (CO2), sulfur dioxide (SO2), nitrogen dioxide (N2O), and nitric acid (HNO3), and a flag indicating the presence of dust and volcano emission. The vertical sampling of each retrieved atmospheric profile variable consists of 100 points total between 1100 mb and 0.016 mb. Intermediate solutions from the microwave-only step and the regression first guess are also part of the delivered standard output. Each product file encompasses one 32-second granule of data, corresponding to 4 scan lines of CrIS/ATMS data. The products are distributed in netCDF-4 file format with metadata attributes included.

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Through extensive research conducted by Mosaic ATM in the area of Dynamic Airspace Configuration (DAC), we have identified the significant benefit of the use of Dynamic Density (DD) as the DAC objective function. The use of DD as the objective function allows the DAC algorithm to directly address critical aspects of sector design beyond simple balancing of the flight counts. These sector design considerations include the alignment of sector boundaries with flow direction, proximity of conflict points to sector boundaries, and boundary alignment with respect to vertical traffic movement. By using DD as the objective function, we generate a multi-objective optimization approach that considers both efficiency and complex controller workload issues. The SectorFlow DAC algorithm has performed well in NASA's DAC algorithm comparison experiments. However, due to the additional computational complexity caused by the use of DD as the objective function, only limited application of DD as the objective function was conducted. In this proposed SBIR effort, Mosaic ATM will apply a massively parallel computing architecture to the DAC algorithm using DD as an objective function to demonstrate and evaluate both the computational advantages of massively parallel processing, and the benefits of using DD as the objective function in DAC.

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Terrain data, as defined in FEMA Guidelines and Specifications, Appendix N: Data Capture Standards, describes the digital topographic data that was used to create the elevation data representing the terrain environment of a watershed and/or floodplain. Terrain data requirements allow for flexibility in the types of information provided as sources used to produce final terrain deliverables. Once this type of data is provided, FEMA will be able to account for the origins of the flood study elevation data. (Source: FEMA Guidelines and Specifications, Appendix N, Section N.1.2).

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Provides monthly enrollment at the contract-plan-state-county level for all organization types

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The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).The file is georeferenced to earth's surface using the State Plane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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The contours in this digital data set represent the regional potentiometric surface developed by Bedinger and Harrill (2004) to assess potential interbasin flow in the Death Valley regional ground-water flow system (DVRFS). To obtain an adequate network of control points for that 100,000 square-kilometer region of southern Nevada and California, Bedinger and Harrill (2004) used regional potential altitudes derived from surface-water features, ground-water levels, topographic settings, deep wells, and spring data. A set of general guidelines was developed to relate regional ground-water potential to these more readily observed surface and near-surface ground-water levels and to hydrologic characteristics of ground-water basins in the DVRFS (see "Larger Work Citation", Appendix 1). Bedinger and Harrill (2004) hand-contoured the regional potential data to produce the DVRFS potentiometric-surface map.

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Thermophotovoltaic(TPV) energy conversion produces electrical power from heat energy in a simple, low maintenance manner ideal for certain NASA applications. Currently, thermophotovoltaics suffer from low efficiencies, where only a small fraction of the total thermal energy is converted to electrical energy. One key to improving efficiency is to match the emitter spectrum more precisely to the conversion characteristics, using engineered metamaterial emitters. Metamaterials have shown great promise as efficient narrow-band selective emitters that can provide the improved spectral match between emitter and converter. To address the opportunity afforded by a novel metamaterials-based TPV emitter film, Nanohmics Inc. and Dr. Gennady Shvets at The University of Texas at Austin propose to develop the TAloNTM Emitter, a high-temperature, ultra-thin thermal emitter of infrared radiation for TPVs. Despite its simplicity and amenability to straightforward fabrication, our design encompasses all the advantages mentioned above: extremely highly selective emission, tunability of emission frequency, sub-wavelength size, and large field enhancement inside the metamaterial. Films will be constructed using the highly scalable process of "roll-to-roll" deposition and nanoimprint lithography using highly thermally stable materials such as tungsten and aluminum nitride.

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This file contains data on race, ethnicity, and gender of U.S. farm and ranch operators collected by the 2007 Census of Agriculture.

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Data on petroleum production, imports, inputs, stocks, exports, and prices. Weekly, monthly, and annual data available. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

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The precipitation data is 0.2 degree gridded monthly precipitation data based upon monthly rain data from Peru and Bolivia and daily rain data from Brazil. The extent of the data ranges from 5.2N and -20.0S to -49.4W to -79.6W

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The NASA Science Mission Directorate has plans to launch high-performance advanced space telescopes for astrophysics missions that require precision formation flying for synthetic aperture telescopes. These formations dictate the capability for precise alignment, synchronized maneuvers and reconfigurations. In order to accomplish the stated tasks, precise and low-noise micro-thrusters are needed. Busek Co. Inc. is proposing to continue the development of a micro RF ion engine propulsion system. Propulsion system is emphasized here because we believe we have all the building blocks needed to complete the system. The RF ion engine will operate in a dual thrust mode or low thrust, nominally 5-30 microNewtons (micro-N) for very precise, long duration missions and have the option to operate at high thrust, nominally 100 micro-N, for short applications such as spacecraft tip-off. This combination of thrust ranges from the same thruster is a unique and mission enabling technology. Busek has a flight qualified carbon nanotube field emission (CNTFE) cathode that is a near perfect fit for neutralizing the ion beam. The CNTFE is propellant-less and very low power, order of 1 Watt. Busek proposes to utilize a slightly modified microvalve for precise microflows. DC and RF electronics and control complete the system.

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These data are not archived or distributed by USGS. To order an image from the IGS data set, you will need to contact the individual ground station specified in the metadata record. Note that product prices, available formats, and/or processing options may vary according to the data provider.

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This table shows the Center for Disease Control and Prevention (CDC) National Healthcare Safety Network (NHSN) standardized infection ratios (SIR) of hospital onset (HO) methicillin-resistant Staphylococcus aureus bloodstream Infections (MRSA BSI) reported by California general acute care hospitals other than long-term and rehabilitation acute care hospitals. The HO MRSA BSI SIR, which adjusts for significant risk factors, is calculated by comparing the number of MRSA BSI that occurred (or were observed) in the hospital in 2013 to the number that would be predicted based on the national referent MRSA BSI rate data. MRSA BSI cases are classified as HO when the first positive blood test is obtained after the third day of hospitalization. Risk factors found to be significant in predicting HO MRSA BSI incidence include hospital bed size, affiliation with a medical school, and the community burden of MRSA BSI as observed in patients admitted to the hospital. Adjusting for these factors provides for a more accurate comparison of hospitals’ infections. For more precise comparisons, NHSN only calculates a SIR when at least one HO MRSA BSI is predicted, which is determined by patient volume and other factors predictive of acquiring MRSA BSI. However, we calculated the SIR for such hospitals with HO MRSA BSI predicted less than one if the number of HO MRSA BSI observed was greater than zero. For each hospital with a MRSA BSI SIR, we performed a statistical analysis to determine if the observed number of infections was significantly different than the predicted number. Based on our statistical analysis we labeled each hospital’s MRSA BSI SIR as: • No difference - no difference in number of observed and predicted infections, • Higher - high or more infections than predicted, or • Lower - low or fewer infections than predicted. To link the CDPH facility IDs with those from other Departments, like OSHPD, please reference the "Licensed Facility Cross-Walk" Open Data table at https://chhs.data.ca.gov/Facilities-and-Services/Licensed-Facility-Cross...

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NASA plans to use intelligent planetary rovers to improve the productivity and safety of human explorers. A key challenge in using robots for human exploration is orienting remote personnel about robot operations, as latency and communication constraints make eyes-on monitoring impractical. Summary measures are needed to identify what progress the robot has made and, when progress is impeded, to indicate what went wrong. Trending measures also are needed that determine how well robotic assets are being utilized and identify opportunities to improve robot productivity. TRACLabs and Brigham Young University propose to develop software for anytime summarization to orient personnel quickly about the performance of planetary robots operating remotely, when data are limited, interrupted, or delayed. Thus an anytime summary must support personnel in understanding the operational situation without relying on vigilance monitoring. We successfully completed all Phase I objectives. We designed an approach for developing an anytime summarization web application. We identified candidate use cases to support Intelligent Robotics Group (IRG) tests. We designed and prototyped algorithms to summarize robot performance. We designed a web application with a graphical narrative interface (GNI) for exploring anytime summaries for different uses and perspectives. This web application integrates these interface clients with a performance data server and with the IRG Exploration Ground Data System (xGDS). In Phase II we will implement this Phase I design as a web application for anytime summarization. This software will compute and present information about robot performance including key performance indicators, significant events affecting performance, and expected performance under different operational conditions. It will build a new performance database for use by web clients, such as the GNI. This web application will be evaluated for use with NASA robots as part of the IRG xGDS.

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The data contained within the .xls is the latest list of DOE recovery act awardees. The list is to be updated weekly by the DOE.

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The Global Oscillation Network Group (GONG) is a network of 6 globally-spaced solar observatories that the NOAA Space Weather Prediction Center uses to monitor the sun in near real time. The archived GONG dataset received from SWPC consists of multiple daily solar magnetograms.

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This file contains the FIRSTLOOK Radiometric camera-by-camera Cloud Mask (RCCM) dataset produced using ancillary inputs (RCCT) from the previous time period. It is used to determine whether a scene is clear, cloudy or dusty (over ocean). (Suggested Usage: The RCCM is used during geophysical parameter retrievals. In the TOA/Cloud Product,RCCM is combined with stereoscopically derived cloud mask to 1) establish values of the Reflecting Level Reference Altitude,2) determine how a scene is classified for choosing angular integration coefficients for establishing TOA albedos,and 3) calculate regional scene classifiers. Retrieval of Aerosol/Surface Product properties requires the abscence of clouds,for retrieval assumptions to be valid.)

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The U.S. Office of Personnel Management's (OPM's) internal tracking system for requests to post changes to the agency's website, opm.gov

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The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).The file is georeferenced to earth's surface using the State Plane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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This ArcView shape file contains a polygon representing the extent of the Raton Coal Basin boundary. This theme was created specifically for the National Coal Resources Assessment in the Northern Rocky Mountains and Great Plains Region.

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This list includes products subject to recall in the United States since June 2009 related to products manufactured by Plainview Milk Products Cooperative.

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The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Census Bureau includes landmarks such as military installations in the MTDB for locating special features and to help enumerators during field operations. In 2012, the Census Bureau obtained the inventory and boundaries of most military installations from the U.S. Department of Defense (DOD) for Air Force, Army, Marine, and Navy installations and from the U.S. Department of Homeland Security (DHS) for Coast Guard installations. The military installation boundaries in this release represent the updates the Census Bureau made in 2012 in collaboration with DOD.

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<p>a)     Portable digital devices such as the iPad provide lightweight, powerful, and convenient methods of communication, and there are countless potential applications for use of these personal devices in spaceflight environments.  However, many of these devices utilize capacitive touchscreens that do not work well with existing suit architecture, limiting their potential use by crew when suited and gloved in intra-vehicular activity (IVA) scenarios, such as during launch, ascent, entry, and docking scenarios.  However, there are commercially available gloves for driving and recreation that incorporate capacitive capability to allow their use with capacitive touchscreens.  Our goal with this ICA is to create a basic launch/entry/ascent suit glove prototype (based on an ACES or similar suit glove) that is functional with portable touch-screen devices such as the iPad, leveraging the concepts included in the commercial off the shelf (COTS) glove hardware.  Our prototype glove will then be run through a simple user test to evaluate its functionality and usability.</p>