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Map (letter-size) showing BLM-administered lands available for solar energy development as identified in the Solar PEIS Record of Decision, including maps of the solar energy zones (SEZs) and the variance areas.

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This report summarizes available information relevant to refuge water resources, provides an assessment of refuge water resource needs and issues of concern, and makes recommendations regarding potential actions to address priority water resource threats and needs. Major topics addressed in the report include the natural setting of the refuge topography, climate, geology, soils, hydrology, impacts of development and climate change, significant water resources and associated infrastructure within the refuge, past and current water monitoring activities on and near the refuge, water quality information, and state water use regulatory framework. Information was compiled from publicly available reports, databases, and geospatial datasets from federal, state, and local agencies; published research reports; websites maintained by government agencies, academic institutions, and nongovernmental organizations; and from files and Geographical Information Systems GIS data layers maintained by the refuge.

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NOFBX propulsion technology is being developed actively for a number of applications including a flight experiment on the International Space Station NOFBX propellant has unique electrical properties that allow the potential for development of an extremely low energy ignition mechanism when coupled with the design of an NOFBX combustion chamber. This has the potential for dramatically reducing the volume, mass, voltage, and electromagnetic interference (EMI) emissions. The development we are proposing is a very low energy ignition system that utilizes the unique attributes of the NOFBXTM propellant that minimizes the volume, mass, and voltage of a block redundant system to be used in NOFBX propulsion systems.

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This data set is part of a larger set of data called the MultiBeam Bathymetric Data Base (MBBDB) where other similar data can be found at http://maps.ngdc.noaa.gov/viewers/multibeam/

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This map shows areas of high current, near-term, and long-term potential landscape development, based on factors such as urban areas, agriculture, roads, and energy development.

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Laboratory experiments reveal calcification and extension rates of corals are strongly correlated to seawater aragonite saturation state. Predictions of reduced coral calcification rates, due to ocean acidification, suggest that coral reef communities will undergo ecological phase shifts as calcifying organisms are negatively impacted by changing seawater carbonate chemistry. This project will assess the effects of changes in seawater chemistry and temperature on calcification and extension rates of Porites spp. corals. This project furthers an existing partnership between CRED and Dr. Anne Cohen (WHOI), who has developed CAT scanning techniques to measure coral growth rates, evaluate gradients in skeletal density, and identify structural bioerosion rates. Dr. Cohen has developed a state of the art non-destructive, fully three-dimensional, CAT scan and image analysis technique that quantifies the size and density of annual growth bands in coral skeletons far more reliably that prior methods constrained by core axis. The coral cores were collected by SCUBA divers during Pacific RAMP cruises, stored in accordance with Dr. Cohen protocol, and sent to WHOI for analysis. Through comparative analyses across natural gradients, this project will assist efforts determining whether key reef-building taxa can acclimatize to changing carbonate chemistry environments. These data will have immediate, direct impacts on predictions of reef resilience in a higher CO2 world and on the design of reef management strategies.

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Research is proposed to demonstrate the use of advanced manufacturing techniques to enable the affordable application of multi-functional thermal / environmental barrier coatings (T/EBCs) having enhanced resistance to high temperature combustion environments. T/EBCs are envisioned to protect the surface of Si-based ceramics against moisture-assisted, oxidation-induced ceramic recession. Current T/EBC systems have been demonstrated in long time exposures at ~2400°F substrate temperatures. However, their use at elevated temperatures (i.e. 2700°F substrate temperatures) is limited by the low temperature stability and high diffusion activity of current T/EBC materials. One approach to increase the temperature capability of these systems is the incorporation of multi-layered T/EBC designs. In this Phase I effort, enhanced processing techniques will be employed to demonstrate the manufacture of robust T/EBC bond coat systems using a physical vapor deposition based processing approach which enables improved coating adhesion and advanced coating architectural, compositional and microstructural control, as well as non-line-of-sight (NLOS) deposition. Scaled processing approaches will then be used to demonstrate the deposition of high temperature capable T/EBC bond coats onto components of interest to gas turbine engine manufacturers. These bond coats will then be incorporated into full high temperature capable T/EBC systems planned in Phase II. Finally, concepts to enable the deposition of T/EBC bond coat systems on NLOS internal regions of hollow components will be investigated. This work will significantly aid the incorporation of Si-based ceramic components in gas turbine engines resulting in reduced weight and increased operating temperatures.

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This Light Detection and Ranging (LiDAR) dataset is a survey of northern San Francisco Bay, California. The project area consists of approximately 437 square miles in portions of seven California counties: Alameda, Contra Costa, Marin, Napa, San Francisco, Solano, and Sonoma. The project design of the LiDAR data acquisition was developed to support a nominal post spacing of 1 meter. Fugro EarthData, Inc. acquired 147 flight lines in nine lifts on February 25, 26, and 28; March 1, 24, and 26; and April 3, 15, and 16, 2010. The data was divided into 1500 by 1500 meter cells that serve as the tiling scheme. LiDAR data collection was performed with a Piper Navajo twin engine aircraft, utilizing a Leica ALS60 MPiA sensor, collecting multiple return x, y, and z as well as intensity data. LiDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. This data of northern San Francisco Bay, California, is classified according to the ASPRS classification scheme and was collected at sufficient resolution to provide a nominal point spacing of 1 m for collected points. Up to 4 returns were recorded for each pulse in addition to an intensity value.

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With the increasing demands placed on extravehicular activity (EVA) for the International Space Station assembly and maintenance, along with planned lunar and Martian missions, the need for increased human productivity and capability becomes ever more critical. This is most readily achieved by reduction in space suit weight and volume, and increased hardware reliability, durability, and operating lifetime. Considerable progress has been made with each successive generation of space suit design; from the Apollo A7L suit, to the current Shuttle Extravehicular Mobile Unit (EMU) suit, and the developmental I-Suit and Mark III suits. However, one area of space suit design which has continued to lag is the fluid pump used to drive the water cooling loop of the Primary Life Support System (PLSS). Conventional electric motor-driven fluid pumps are heavy, bulky, inefficient, and prone to wear. A new pump type is needed. Lynntech proposes to further reduce the size, weight and power consumption of its long-life, low-power, compact, lightweight, efficient electrochemically-driven pumps, which will allow their use in the next generation space suit.

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Bathymetry for Winyah Bay was derived from eight surveys containing 33,974soundings. No surveys were omitted. The average separation betweensoundings was 49 meters. Seven of the eight surveys dated from 1935. Theremaining survey, located in the south, dated from 1964. The total range ofsounding data was 1.5 meters to -15.5 meters at mean low water. Mean highwater values between 0.8 and 1.2 meters were assigned to the shoreline.Four points were found that were not consistent with the surrounding data.These were removed prior to tinning. DEM grid values outside theshoreline (on land) were assigned null values (-32676).Winyah Bay has seven 7.5 minute DEMs and a single one degree DEM. The1 degree DEMs were generated from the higher resolution 7.5 minuteDEMs which covered the estuary. A Digital Elevation Model (DEM)contains a series of elevations ordered from south to north with theorder of the columns from west to east. The DEM is formatted as oneASCII header record (A- record), followed by a series of profilerecords (B- records) each of which include a short B-record headerfollowed by a series of ASCII integer elevations (typically in unitsof 1 centimeter) per each profile. The last physical record of theDEM is an accuracy record (C-record).The 7.5-minute DEM (30- by 30-m data spacing) is cast on theUniversal Transverse Mercator (UTM) projection. It provides coveragein 7.5- by 7.5-minute blocks. Each product provides the samecoverage as a standard USGS 7.5-minute quadrangle but the DEMcontains over edge data. Coverage is available for many estuaries ofthe contiguous United States but is not complete.

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The Mark Twain NWR including Clarence Cannon, Louisa, and Calhoun NWRs Law Enforcement Plan clarifies U.S. Fish and Wildlife enforcement policies as they apply to the Refuge. It provides information about problems, responsibilities, procedures, and situations. Specific topics include: vehicles, firearms, and weapon use.

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Map (poster-size) showing BLM-administered lands available for solar energy development as identified in the Solar PEIS Record of Decision, including maps of the solar energy zones (SEZs) and the variance areas.

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The Tribal enrollment processing system. It is used to input or remove eligible employees of tribal organizations into the Federal Employees Health Benefits (FEHB)

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MODIS/Terra Sea Ice Extent and IST Daily L3 Global 4km EASE-Grid Day

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This map shows the location of herd management areas (HMAs).

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ABSTRACT: Contains the areal snow survey data collected by HYD-04. The flight line numbers that are included correspond to the flight lines from HYD-06 measurements.

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Hybrid Model Fusion for Gas Turbine Engine Diagnostics and Prognostics Project

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This dataset provides information about disaster Supplemental Nutrition Assistance Program (SNAP) income eligibility standards and allotments based on household size.

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To provide the user with a general idea of areas where final critical habitat for seven federally listed karst invertebrates occur in Bexar County, Texas.

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The Commodity and Food Elasticities Database is a collection of elasticities from research on consumer demand published in working papers, dissertations, and peer-reviewed journals and as presented at professional conferences in the United States.

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SSA uses the Internal Revenue Service (IRS) information in determing the eligibility of Medicare recipients to receive subsidy payments for Medicare premiums. SSA will Match IRS unearned income records to determine if the beneficiary is below the poverty level and then therefore entitled to subsidy payments.

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This data set contains water depth, temperature, specific gravity, salinity, and density measurements from the North Polar Basin and the Barents Sea, gathered by Nansen and crew on the Norwegian North Polar Expedition from 1893-1896.Data are available via FTP.

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This dataset consists of the version 2 Level 2B science-quality ocean surface wind vector retrievals from the Oceansat-2 scatterometer (OSCAT), which was designed and launched by the Indian Space Research Organization (ISRO) 23 September 2009. This Level 2B dataset is produced by the Jet Propulsion Laboratory (JPL) QuikSCAT Project in cooperation with ISRO. The retrievals are provided on a non-uniform grid within the swath at 12.5 km pixel resolution. This resolution is achieved through a slice composite technique in which high resolution slice measurements from L1B data are composited into a 12.5 km wind vector cell. This newest version contains an improved geophysical model function (GMF), known as QSCAT12, consistent with the Remote Sensing Systems Ku2011 GMF, and an improved rain detection and flagging algorithm; these algorithms are consistent with the latest reprocessed version 3 QuikSCAT L2B dataset. Each L2B file corresponds to a specific orbital revolution (rev) number, which begins at the southernmost point of the ascending orbit. As a Ku-band dual pencil-beam rotating scatterometer, OSCAT design specs bear a strong resemblence of the Ku-band SeaWinds scatterometers on QuikSCAT and Midori-II (ADEOS-II). The primary difference between OSCAT and SeaWinds is the ~4 degree increase in the OSCAT incidence angle, which acts as an offset to the relatively lower altitude of Oceansat-2 to help provide a nearly identical swath width to SeaWinds. In the early phase of cal/val, the JPL QuikSCAT Project identified several problems, most of which have been corrected in this latest L2B version. This dataset release is expected to have an accuracy similar to that of the version 3 L2B QuikSCAT product, with minor caveats, all of which are described by Jaruwatanadilok et al. (submitted, 2013) and summarized in the User Guide document which is made available here: ftp://podaac.jpl.nasa.gov/allData/oceansat2/L2B/oscat/jpl/docs/ . Read software is made available in MATLAB, Python, R, and IDL and is accessible here: ftp://podaac.jpl.nasa.gov/allData/oceansat2/L2B/oscat/jpl/sw/ .

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These profiles significantly increase the amount of information that is available about the performance of CDBG grantees. It is important that our grantees, all our stakeholders, and citizens be able to access detailed information about the performance of each local CDBG program. This access helps ensure accountability and assists in assessing the progress of each grantee's program. These profiles also assist grantees in measuring their contributions toward meeting the housing and community developments needs of low- and moderate-income persons in their communities and in analyzing the effectiveness and efficiency of their program.

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The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum entropy (MaxEnt). NOAA National Centers for Coastal Ocean Science (NCCOS) combined databases of known deep-sea coral locations provided by the NOAA Deep-Sea Coral Research and Technology Program (DSCRTP) and other contributors with environmental and oceanographic data to generate the predictive models of deep-sea coral distribution. These models are used to produce regional maps of deep-sea coral habitat. In these regions, deep-sea coral occurs on the continental shelves and slopes, at ocean depths of approximately 50 to greater than 2,000 meters. Model predictions are organized into five hierarchical categories to be able to compare the data across coral taxa and across regions. The categories correspond to the predicted likelihood of suitable deep sea coral habitat occurring. Orders: Scleractinia, Antipatharia, Alcyonacea