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These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

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The AVHRR Pathfinder Version 5.2 Sea Surface Temperature data set (PFV52) is a collection of global, twice-daily 4km sea surface temperature data produced in a partnership by the NOAA National Oceanographic Data Center and the University of Miami's Rosenstiel School of Marine and Atmospheric Science. PFV52 was computed from data from the AVHRR instruments on board NOAA's polar orbiting satellite series using an entirely modernized system based on SeaDAS (NASA SeaWiFS Data Analysis System). This system incorporates several key changes from Versions 5.0 and 5.1 of Pathfinder, including the use of an entirely new land mask, a modified grid, and the inclusion of sea ice, wind speed, and aerosol ancillary data to support the use of the SST data. Importantly, PFV52 data are provided in netCDF-4 (classic model, with internal compression and chunking) and are nearly 100% compliant with the GHRSST (Group for High-Resolution Sea Surface Temperature) Data Specification Version 2.0 for L3C products. These data deviate from that standard only in that sses_bias, sses_standard_deviation, and sst_dtime variables are empty. PFV52 data were collected through the operational periods of the NOAA-7 through NOAA-18 Polar Operational Environmental Satellites (POES), and are available for 1981 through 2010. Data for all years are available as separate NODC accessions.

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These report maps reflect a list of VA Facilities

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This fillintheblank Word form will generate abstracts for annual narrative reports written between 1964 and 1975.

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A map service on the www depicting the boundaries encompassing the National Forest System (NFS) lands within the original proclaimed National Forests, along with subsequent Executive Orders, Proclamations, Public Laws, Public Land Orders, Secretary of Agriculture Orders, and Secretary of Interior Orders creating modifications thereto, along with lands added to the NFS which have taken on the status of 'reserved from the public domain' under the General Exchange Act. The following area types are included: National Forest, Experimental Area, Experimental Forest, Experimental Range, Land Utilization Project, National Grassland, Purchase Unit, and Special Management Area. This map service also depicts National Grassland units designated by the Secretary of Agriculture and permanently held by the Department of Agriculture under Title III of the Bankhead-Jones Farm Tenant Act. This map service provides display, identification, and analysis tools for determining current boundary information for Forest Service managers, GIS Specialists, and others.

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This dataset contains information about hundreds of designated user-facilities and R&D equipment funded by the U.S. Department of Energy and accessible to the private sector. These facilities reside at DOE's National Laboratories throughout the United States and are meant to advance scientific research and accelerated technology commercialization.

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The Total Petroleum System is used in the National Assessment Project and incorporates the Assessment Unit, which is the fundamental geologic unit used for the assessment of undiscovered oil and gas resources. The Total Petroleum System is shown here as a geographic boundary defined and mapped by the geologist responsible for the province and incorporates not only the set of known or postulated oil and (or) gas accumulations, but also the geologic interpretation of the essential elements and processes within the petroleum system that relate to source, generation, migration, accumulation, and trapping of the discovered and undiscovered petroleum resource(s).

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Previously known as BESS. The data sets are summarized by meaningful Healthcare Common Procedure Coding Current Procedural Terminology, HCPC CPT, code ranges. Brief descriptions for the code ranges and modifiers are provided in the readme file. The data set name contains the year followed by a five character sequence that is the HCPC CPT code. This HCPC CPT code corresponds to the first HCPC CPT in the selected code range of disciplines. Within each code range are, procedural, condition, or description subheadings. Each data set displays the allowed services, allowed charges, and payment amounts by HCPC CPT codes and prominent modifiers. These reports will only illustrate the modifiers where duplicative claim submissions occur. This is to avoid duplicate counting of services. Utilization for modifiers not affected by duplicative counting are collapsed into the Other category on the reports. Therefore, not all Centers for Medicare and Medicaid Services published modifiers are illustrated. The file is updated annually and usually available by September for the previous year.

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In order to test hypotheses about groundwater flow under and into Chesapeake Bay, geophysical surveys were conducted by U.S. Geological Survey (USGS) scientists on Chesapeake Bay and the Potomac River Estuary in September 2006. Chesapeake Bay resource managers are concerned about nutrients that are entering the estuary via submarine groundwater discharge, which are contributing to eutrophication. The USGS has performed many related studies in recent years to provide managers with information necessary to make informed decisions about this issue. The research carried out as part of the study described here was designed to help refine nutrient budgets for Chesapeake Bay by characterizing submarine groundwater flow and discharge of groundwater beneath part of the mainstem and a major tributary, the Potomac River Estuary.

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The proposed Wireless, passive, SAW sensor system operates in a multi-sensor environment with a range in excess of 45 feet. This proposed system offers unique features in two (2) important areas. The first is in the development of a new sensor type, a strain gauge that is based on OFC techniques and implemented with the low loss characteristics of SAW Unidirectional transducers. The second is in the design of an integrated interrogator system that has DSP-based embedded signal processing. Interrogator will also be capable of rapidly performing multiple interrogations which can them be used to make ibration measurements or averaged to extend the operational range of the system. This proposal extends the Phase I and previous work in two major areas; developing a SAW strain sensor, and dramatically increasing interrogation range, which is applicable to both the new strain sensors and the previously developed temperature sensors. In order to increase SAW sensor range, sensitivity and accuracy, the most important device parameters were identified and initial investigation begun in Phase I and will be put into practice in Phase II. To reduce SAW sensor loss and minimize multi-transit acoustic echoes, low loss unidirectional studies were initiated. Phase I produced three alternative low-loss approaches that will be evaluated in the Phase II work. Success will lower the insertion loss by approximately 15 dB, and multi-transit echoes are predicted to be less than -40 dB from the main signal; doubling the system range and reducing the sensors self-noise. Advanced coding techniques were investigated in Phase I that have led to longer delay path lengths, and shorter codes with less inter-sensor interference. During Phase II, the interrogator will improve the following critical capabilities: onboard-fully-integrated DSP, extended connectivity options to customer's computer, and rapid interrogation capabilities. This will allow vibration sensing and signal integration.

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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 1:12000.

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View the Medicare Advantage (MA) ratebooks, rate calculation data, and risk adjusters.

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NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and modeling efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Grid spacings for the DEMs range from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).

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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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The Climate Prediction Center (CPC) issues a probabilistic one-month precipitation outlook for the United States twice a month. CPC issues an initial monthly outlook with a lead time of 0.5 months on the third Thursday of every month. CPC issues an updated version of the monthly outlook with a lead time of 0.0 months on the last day of each month. For example, in mid-January, CPC will issue a One-Month Probabilistic Precipitation Outlook for February. An updated version of this outlook (valid for February) would then be issued at the end of January. New outlooks, valid for March, would then be released in mid-February and the end of February, respectively. CPC expresses the outlooks in a 3-category probabilistic format as the chance the total precipitation for the period will be above, below, or near median. CPC bases its definition of above median, near median, and below median by fitting a Gamma distribution to a thirty year climatology and dividing this distribution into equally likely thirds. Note that the base period for the thirty year climatology (currently beginning in 1981 and ending in 2010) is updated once per decade. CPC indicates the probability of the most likely category with shaded contours and labels the centers of maximum probability with the letters "A" (for Above Median), "B" (for Below Median), or "N" (for Near Median). For areas where a favored category cannot be determined, CPC indicates those areas with an "EC" meaning "Equal Chances". CPC also accompanies the outlook maps with a technical discussion of the meteorological and climatological basis for the outlooks. CPC may include analysis of statistical and numerical models, meteorological and sea-surface temperature patterns, trends and past analogs, and confidence factors in this technical discussion.

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GRIN is a collection of over a thousand images of significant historical interest scanned at high-resolution in several sizes. This collection is intended for the media, publishers, and the general public looking for high-quality photographs.

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Birth Profile by ZIP Code by Birthweight

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This collection of documents includes outreach publications for employers.

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Taurine, an amino sulfonic acid, has important roles in osmoregulation, bile acid conjugation, membrane stabilization and calcium homeostasis in vertebrates. Though many animals biosynthesize taurine, felines and some marine finfish have low cysteine sulfinate decarboxylase (CSD) activity, limiting their ability to produce taurine. In cats, a diet devoid of taurine will cause blindness and multiple birth defects. Thus, taurine is an essential nutrient for the cat. The capacity of aquaculture finfish to biosynthesize taurine depends on the species. Although the underlying physiological processes are not yet understood, recent studies have shown that taurine improves growth of fish such as yellowtail, Japanese flounder, sea bream, and cobia. Though a promising aquaculture species, it is unknown whether sablefish can synthesize taurine or whether they must obtain it through their diet to achieve optimal growth. While ample amounts of taurine are found in many rendered animal proteins, including fishmeal, taurine is absent from plant proteins recently employed in fish feeds. Studies on yellowtail, red sea bream, and rainbow trout fed low (or zero) fishmeal diets saw improved growth with taurine supplementation. Taurine limited processes are a potential barrier to the optimum growth and successful transition of marine finfish species from currently available, fishmeal based feeds to alternative, more sustainable, plant-based feeds. Fish weights and lengths for study

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These datasets contain the geographic boundaries and funding status information for HUD’s Continuum of Care (CoC) areas by Year. HUD is providing these datasets for use by CoC grantees, homeless services planners, and research institutions. Because HUD provides competitive funding for homeless services through a CoC structure that is developed at the local level, outside research based on this structure cannot be accomplished without the provision of the geographic boundaries and related data provided herein. Therefore, this dataset was developed to make the CoC process and funding as transparent as possible to the public.

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Summary Data Tables Data collected through MEPS are used to generate tables with frequently used summary statistics. These tables are available here for both the Household Component and the Insurance Component. Household Component Summary Tables The Household Component summary tables provide frequently used summary estimates at the national level on household medical utilization and expenditures: demographic characteristics, health conditions, health status, use of medical care services, charges and payments, access to care, satisfaction with care, health insurance coverage, income, and employment. Some of these tables can be customized online. State-level estimates of household medical utilization and expenditures are also provided for selected states. Insurance Component Summary Tables The Insurance Component summary tables provide estimates at the national, state, and metro area levels on employer-based health insurance: number and types of insurance plans, premiums, benefits, contributions by employers and employees, and employer characteristics. Please note, in preparation for improvements in the data collection process, 2007 data for the Insurance Component was not collected. MEPS employer-based health insurance tables are produced in the year following data collection. Private-sector tables are posted in July; government and civilian tables are posted in November. National-level tables: Private sector estimates by firm size, industry group, census regions and other characteristics; public sector data by state and local government types, government size, and census division; civilian estimates that incorporate both the private and state and local government sectors; national totals for enrollees and cost of health insurance coverage for both the private and public sectors. State and metro area tables: State-level estimates for the private sector by firm size, industry groupings, ownership type, age of firm, employee characteristics, and average wage quartiles. Metropolitan area private sector estimates of premiums, employee contributions, enrollments, and take-up rates by firm size.

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The PWSD is a dataset that can be used to answer questions about various public workforce system programs and how these programs fit in with the overall public workforce system and the economy. It was designed primarily to be used as a tool to understand what has been occurring in the Wagner-Peyser program and contains data from quarter 1 of 1995 through quarter 4 of 2008. Also, it was designed to understand the relationship and flow of participants as they go through the public workforce system. The PWSD can be used to analyze these programs both individually and in combination. The PWSD contains economic variables, Unemployment Insurance System data, and data on programs funded by the Workforce Investment Act and Employment Service. Economic variables included are labor force, employment, unemployment, unemployment rate, and gross domestic product data.

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This data set consists of the administrative hydrographic area (HA) boundaries for Nevada at 1:750,000-scale and estimates of natural recharge, artificial recharge, pumpage, and net ground-water flow for each basin where the information is available. Formal hydrographic areas in Nevada were delineated systematically by the U.S. Geological Survey and Nevada Department of Conservation and Natural Resources, Division of Water Resources (NDWR) in the late 1960's (Rush, 1968; Cardinalli and others, 1968) for scientific and administrative purposes. The official hydrographic area names, numbers, and geographic boundaries continue to be used in U.S. Geological Survey scientific reports and NDWR administrative activities. Although the boundary lines between hydrographic areas generally coincide with true topographic basin divides, some of the lines are arbitrary divisions that have no topographic control. The pumpage, recharge, and interbasin flow estimates were derived from a variety of sources and methods. The data were tabulated and published by Lopes and Evetts in 2004. References Cited Cardinalli, J.L., Roach, L.M., Rush, F.E., and Vasey, B.J., comps., 1968, State of Nevada hydrographic areas: Nevada Department of Conservation and Natural Resources, Division of Water Resources map, scale 1:500,000. Lopes, T.J. and Evetts, D.M., 2004, Ground-water pumpage and artificial recharge for 2000 and average annual natural recharge and inter-basin flow by hydrographic area: U.S. Geological Survey Scientific Investigations Report 2004-5239, 81 p. Rush, F.E., 1968, Index to hydrographic areas in Nevada: Nevada Department of Conservation and Natural Resources, Division of Water Resources, Information Report 6, 38 p. Rush, F.E., 1974, Static ground water levels of Nevada: Nevada Department of Conservation and Natural Resources, Division of Water Resources map, 1 sheet, scale 1:750,000.

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The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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Monthly tabulated index of the Scandinavia teleconnection pattern. The data spans the period 1950 to present. The index is derived from a rotated principal component analysis (RPCA) of normalized 500-hPa height anomalies from the period 1950-2000. The data source is the NCEP/NCAR Reanalysis. The resulting time series is then re-normalized to coincide with the 1981-2010 base period monthly means. The index is updated monthly. Calculating the index using the RPCA approach is a somewhat complicated process, in that it is not derived independently of the other extratropical teleconnection pattern indices.