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This dataset is one of many developed in support of The High Plains Groundwater Availability Project and the U.S. Geological Survey Data Series Report: Geodatabase Compilation of Hydrogeologic, Remote Sensing, and Water-Budget-Component data for the High Plains aquifer, 2011 (DS777). This dataset represents a thickness-weighted average of hydraulic conductivity (K) and specific yield (Sy) for 4,309 well points in the northern High Plains aquifer. Hydraulic conductivity is a measure of how much water flows through a unit section of an aquifer, under a unit gradient in a specified amount of time. Specific yield is a measure of how much water will drain from the aquifer by gravity. Both of these properties are important to develop a hydrogeologic framework for an aquifer and to gain an understanding of how water flows through the aquifer. Included in this metadata document are the attribute definitions of all tables related to the feature class pts_K_Sy_TWA, including tbl_K_Sy_RawDataMaster a table of well point lithology records that terminate at the base of the aquifer. This document also includes the attribute definitions of the table of subsurface material, called tbl_Material that contains texture, grain-size, and sorting properties of the aquifer material, and the attribute definitions of the table of multipliers called tbl_Multiplier, which, based on certain subsurface materials, would reduce the computed values of these properties. The two tables, tbl_Material and tbl_Multiplier are used in the Geoparm macro to compute the K and Sy values at the wells in the pts_K_Sy_TWA feature class. Attribute definitions for tbl_K_Sy are also included in this metadata document; tbl_K_Sy is the output table created by the Geoparm macro. The thickness weighted averages of K and Sy are computed by queries in this table after the macro is run. The thickness weighted averages were then transferred to the point feature class. (pts_K_Sy_TWA).

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Section 54 of the Internal Revenue Code (IRC) describes regulations for the issuance and use of clean renewable energy bonds (CREBs). The following table of maturities and rates specify the appropriate credit rates for the specified maturities under this program.

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Federal regulations require that an assembler who installs one or more certified components of a diagnostic x-ray system submit a report of assembly. This database contains the releasable information submitted including Equipment Location, General Information and Component Information. Note: Data does not include dental system installations.

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USCRN Raw Data is level 0 data received from the USCRN stations that are transmitted continuously. The data values are ingested with a unique 18-bit format due to satellite transmission limitations (documentation will be archived along with data); code will be provided to read the bit format and parse out values for a stream. As of 2012, there are 19 possible stream format versions over the history of the USCRN network; format versions are dependent on hardware/software upgrades to the USCRN network and may increase over time.

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This data set includes urban areas in the United States, Puerto Rico, and the U.S. Virgin Islands. The data were derived from the 2010 TIGER/Line Urban Areas data set produced by the U.S. Census Bureau. The Census Bureau defines urban areas as places that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, these places consist of areas of high population density and urban land use.

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Metron Aviation will develop optimization algorithms and an automated tool for performing dynamic airspace configuration under different operational scenarios. The Dynamic Airspace Configuration Tool (DACT) takes as an input the regularly updated projections of aggregated demand and weather forecasts and produces optimum airspace boundaries that balance the airspace complexity under various global and regional constraints for time horizons as short as four hours. The optimality criteria are defined separately for different levels of automation in Air Traffic Control (ATC) procedures. DACT enables the ATC managers to initiate high volume operational corridors and other classes of airspace to best serve the user demand for airspace resources. Additionally, when fully developed, DACT provides a capability for airspace managers to dynamically manage the allocation of Special Use Airspace (SUA) and Military Operation Airspace (MOA) to ensure security of the airspace system. DACT enables a more efficient utilization of airspace capacity and reduces the operational cost for air traffic control services by dynamically re-aligning the airspace boundaries to comply with the monthly, daily, and hourly alterations in user aggregated demand, route structures, and changes in weather patterns. DACT address one of the main components of NASA's NGATS Airspace effort in developing an operational framework for DAC concept that provides the air traffic service providers with a new degree of freedom to accommodate the user demand for airspace capacity, balanced against needs of national interest (e.g. security). The proposed effort will combine state of the art mathematical optimization techniques with ATC functional requirements necessary for development of the DAC concept.

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Utility level retail sales of electricity and associated revenue in 2012. Organized by reporting month, state, and by end-use sector, i.e., residential, commercial, industrial, and transportation. Based on Form EIA-826 data.

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FY 2015 Budget Submission Volume I: Summary

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The Pentagon Channel's daily newscast with the latest news from Iraq and Afghanistan.

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As part of the Electronics Prototyping and Manufacturing Mission, of the Electronics and Prototyping Branch, the Semi-Automated, Surface Mount Technology (SMT) Soldering System greatly enhances the reliability and repeatability of the SMT soldering process. The design and function of the system is ideal for small-batch and test-run manufacturing, rework, and component replacement. Being operator-controlled, the system allows for rapid set-up, adjustment, and modification, in addition to being easily maintained. The system is fully capable of utilizing either solder paste "tack" or adhesive methods of component-to-board retention prior to soldering. Dedicated, recirculating air filtration is utilized to negate the need for outside venting of the soldering process.

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World Ocean Atlas 2013 (WOA13) is a set of objectively analyzed (1 degree grid and 1/4 degree grid) climatological fields of in situ temperature, salinity, dissolved oxygen, Apparent Oxygen Utilization, percent oxygen saturation, phosphate, silicate, and nitrate at standard depth levels for annual, seasonal, and monthly compositing periods for the World Ocean. 1/4 degree fields are for temperature and salinity only. It also includes associated statistical fields of observed oceanographic profile data interpolated to standard depth levels on 1/4 degree, 1 degree, and 5 degree grids. Temperature and salinity fields are available for six decades (1955-1964, 1965-1974, 1975-1984, 1985-1994, 1995-2004, and 2005-2012) and an average of all decades representing the period 1955-2012. Nutrient and oxygen fields are available using all quality controlled data for the entire sampling period 1878-2012.

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The mapped data derived from AVHRR is divided into files for CoastWatch regions of interest. Each file contains multiple data variables stored using the HDF-4 Scientific Data Sets (SDS) model. The product contents are channel 1 albedo, channel 2 albedo, channel 3a albedo, channel 3 brightness temperature, channel 4 brightness temperature, channel 5 brightness temperature, moisture corrected sea-surface-temperature, 8-bit CLAVR ocean cloud mask, 2-bit CLAVR-X cloud mask, satellite zenith angle, solar zenith angle, relative azimuth angle and 8-bit graphics layers. The pixel resolution is 1.47 km/pixel except for synoptic region in Alaska (5 km/pixel) and the Great Lakes (1.8 km/pixel).

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Cooling Centers offer residents air-conditioned refuge from oppressive summer heat. The Chicago Department of Family and Support Services operates six Cooling Centers during the summer months. Additional facilities are opened as needed in libraries, Park District buildings, senior centers and other community venues. You may call 311 to locate a Cooling Center in your area, or go to http://bit.ly/kIhHPj for more information.

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Bathythermograph data were collected from the DALLAS within a 1-mile radius of Ocean Weather Station D (4400N 04100W) and in transit. Data were collected by the United States Coast Guard from 03 May 1968 to 28 May 1968. The platform was equipped and staffed to observe weather and sea conditions. Data were processed by NODC to the NODC standard Universal Bathythermograph Output (UBT) format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/bt.html. The UBT file format is used for temperature-depth profile data obtained using the mechanical bathythermograph (MBT) instrument. The maximum depth of MBT observations is approximately 285 m. Therefore, MBT data are useful only in studying the thermal structure of the upper layers of the ocean. Cruise information, date, position, and time are reported for each observation. The data record comprises pairs of temperature-depth values. Temperature data in this file are recorded at uniform 5 m depth intervals.

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A list of hospitals participating in the Hospital VBP Program and their performance rates and scores for the Clinical Process of Care AMI measures.

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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 UTM 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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These data have been compiled in support of the Middle Rio Grande/Albuquerque Urban Waters Partnership for the region including Albuquerque, New Mexico.The Middle Rio Grande/Albuquerque Urban Waters Federal Partnership is co-chaired by the U.S. Dept. of Housing and Urban Development and the U.S. Environmental Protection Agency. There are also a number of other federal agencies engaged in projects with Tribal, State, and local officials, and community stakeholders. Like many western river ecosystems, the Middle Rio Grande faces numerous challenges in balancing competing needs within a finite water supply and other resource constrains. Historical practices by our ancestors and immigrants to the Middle Rio Grande have established the conditions that we have inherited. Long-term drought exacerbated by climate change is changing conditions that affect natural and human communities as we strive to improve our precious Rio Grande.The Middle Rio Grande/Albuquerque Urban Waters Federal Partnership will reconnect our urban communities, particularly those that are overburdened or economically distressed, with the waterway by improving coordination among federal agencies and collaborating with community-led revitalization efforts. Our projects will improve our community water systems and promote their economic, environmental and social benefits. Specifically, the Middle Rio Grande/Albuquerque Urban Waters Federal Partnership will support the development of the Valle de Oro National Wildlife Refuge, the first urban refuge in the Southwest, as well as numerous restoration projects along the Middle Rio Grande/Albuquerque, a pilot watershed-based storm water management program, a climate change project, and transportation and economic development initiatives in the South Valley.Users can discover more about the project on the partnerships website, http://www.urbanwaters.gov/mid-riogrande/index.html.The portion of the partnership data provided by the Bureau of Reclamation in support of the project is based in significant part on data compiled in support the mapping exercise for the DOI Secretary’s 2012 Middle Rio Grande Conservation Initiative Report http://middleriogrande.com/LinkClick.aspx?fileticket=zWjw3lgpeyE%3d&tabid=488&mid=1401&forcedownload=true> The data compiled for this report was ultimately presented in the Appendix as maps and tabular data and ultimately no metadata was produced other than at the attribute level. The original data’s scope was identified as applicable in support of the Urban Waters Partnership since the partnership seeks to advance the work of the America’s Great Outdoors Initiative http://www.doi.gov/americasgreatoutdoors/index.cfm>, of which the 2012 MRG Conservation Initiative was a part of. This data represents an updated and revised dataset of similar scope with additions identifying Conservation, Education, and Recreation opportunities within the Middle Rio Grande region from Cochiti Reservoir through Elephant Butte Reservoir and as such depicts features from a more broad geographic area of interest than the Urban Waters Partnership.Originally, maintenance and restoration work was included in the point feature class of the MRG Conservation Initiative and classified as a Conservation activity; however, many of the restoration activities are better represented by a polyline feature class. The dynamic nature of the expected deployment of this data allowed for the better representation of each activity as either a point or a polyline. Subsequently, the maintenance and restoration activities have been removed from the comparible layer in the Urban Waters dataset, UrbanWaters_POIs_Points and devided into two feature classes as appropriate, MRG_Activities_line and MRG_Activities_multipoint. Unlike the Urban Waters POIs feature classes in which features share overalap in representation between point and polygon coverages, these to maintenance and restoration activity feature classes are mutually exclusive.The MRG Conservation Initiative dataset was compiled by the Technical Services Division of the Albuquerque Area Office of the Bureau of Reclamation from multiple sources. Because of the congestive nature of the static maps published in the 2012 report, several lesser projects were ommitted in 2012. The dataset for the Urban Waters Program however, while not depicting any new activities from either 2013 or 2014, has been expanded to depict all identified activities from 2002 to 2012. Many maintenance and restoration activities coincide with previous activities also resident in this dataset, therfore portions of or wholly coincident geometries may identify multiple featues discernable only through interogating the data with the identify tool.The source geometry for this feature class is a derivative of the National Hydrographic Dataset (NHD) Flowline feature class. Along much of the Rio Grande, this feature class is classified as an artificial path, i.e., a geometric network path used for directed flow analysis. Often these artificial paths do not accurately represent the geometry of the river because they are covered by a polygon for cartographic purposes. In any case, the NHD is out of date, especially over dynamic features like rivers such as the Rio Grande which change annually and indeed with every precipitation or release event. Therefore, the source geometry will not reflect the ground truth alignment of the Rio Grand at larger scales. All locations are approximate and in no case does the geometry reflect or is intended to reflect the actual maintenance and restoration activities.

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FY-to-date national counts of CDR mailer deferrals and full medical review initial DDS determinations.

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Number of persons residing in Maryland by year.

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Provides U.S. Federal Spending by agency. The Contracts section allows searching for data relating to all Federal contracts. There are three main categories of searches: by contractor, by location, and by contracting agency. The Purchase section allows users to view purchase cards spending of various federal agencies for each fiscal year. The data available on this website are extracted from the report published once every quarter on the GSA SmartPay website. The GSA SmartPay receives this data directly from the banks that issued the purchase cards. This tool allows you to structure your search for data contained on USAspending.gov website.

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The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. 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 Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information 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).

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EIA data on domestic natural gas prices, exploration and reserves, production, imports and exports, storage, pipelines, and consumption. Data released on a weekly, monthly and/or annual basis. The International Energy Data API provides international natural gas data: http://www.eia.gov/beta/api/qb.cfm?category=1505864 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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NCAP rates vehicles to determine crash worthiness and rollover safety. The safety ratings are gathered during controlled crash and rollover tests conducted at NHTSA research facilities. Vehicles with a rating of five stars indicate the highest safety rating, whereas a one star indicates the lowest rating.

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This Comprehensive Conservation Plan CCP was written to guide management on Crocodile Lake NWR for the next 15 years. This plan outlines the Refuge vision and purpose and describes how Crocodile Lake NWR will contribute to the overall mission of the Refuge System. The plan provides an introduction to the Refuge, an overview of the CCP process, and information about the management direction and plan implementation. Key planning issues include: wildlife and habitat conservation, land protection and conservation, education and visitor services, and Refuge administration.

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After each decennial census, the Census Bureau delineates Public Use Microdata Areas (PUMAs) for the tabulation and dissemination of decennial census Public Use Microdata Sample (PUMS) data, American Community Survey (ACS) PUMS data, and ACS period estimates. Nesting within states, or equivalent entities, PUMAs cover the entirety of the United States, Puerto Rico, Guam, and the U.S. Virgin Islands. PUMA delineations are subject to population, building block geography, geographic nesting, and contiguity criteria. Each PUMA is identified by a 5-character numeric census code that may contain leading zeros and a descriptive name. 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.