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This report presents estimates of the legal permanent resident (LPR) population living in the United States on January 1, 2012. The LPR population includes persons granted lawful permanent residence, for example, 'green card' recipients, but not those who had become U.S. citizens.

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The Emerging Pathogens Initiative (EPI) database contains emerging pathogens information from the local Veterans Affairs Medical Centers (VAMCs). The EPI software package allows the VA to track emerging pathogens on the national level without additional data entry at the local level. The results from aggregation of data can be shared with the appropriate public health authorities including non-VA and the private health care sector allowing national planning, formulation of intervention strategies, and resource allocations. EPI is designed to automatically collect data on emerging diseases for Veterans Affairs Central Office (VACO) to analyze. The data is sent to the Austin Information Technology Center (AITC) from all Veterans Health Information Systems and Technology Architecture (VistA) systems for initial processing and combination with related workload data. VACO data retrieval and analysis is then carried out. The AITC creates two file structures both in Statistical Analysis Software (SAS) file format, which are used as a source of data for the Veterans Affairs Headquarters (VAHQ) Infectious Diseases Program Office. These files are manipulated and used for analysis and reporting by the National Infectious Diseases Service. Emerging Pathogens (as characterized by VACO) act as triggers for data acquisition activities in the automated program. The system retrieves relevant, predetermined, patient-specific information in the form of a Health Level Seven (HL7) message that is transmitted to the central data repository at the AITC. Once at that location, the data is converted to a SAS dataset for analysis by the VACO National Infectious Diseases Service. Before data transmission an Emerging Pathogens Verification Report is produced for the local sites to review, verify, and make corrections as needed. After data transmission to the AITC it is added to the EPI database.

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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. Projection is in HARN State Plane NAD 83 International Feet.

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The National Levee Database is authoritative database that describes the location and condition of the Nation’s levees. The database contains 21 feature classes and associated levee business tables in a relational geodatabase. The spatial accuracy of the data is of mixed quality documented in each feature class. The levee data is available for the United States at the website at nld.usace.army.mil.

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Codedwiretags CWT and passive integrated transponder PIT tags are usedextensively throughout the Columbia River Basin to address a wide variety of management andresearch questions. A recent study by Knudsen et al. 2009 found that dualtagged CWT andPITtagged hatchery spring Chinook salmon smolts released in the Yakima River had lowersmolttoadult return rates SARs compared to CWT smolts, indicating that PITtags mayimpart a survival bias relative to smolts tagged with CWTs. Given the widespread use of CWTand PITtags, further evaluations of potential tag effects would be informative for quantifying thelevel of bias, if present, associated with each of these two tag types. Towards this end, weinitiated the PITTag Effects Study PTES at Carson National Fish Hatchery NFH with themarking of the brood year 2009 release. The objectives are 1 to determine the effects of PITtagson spring Chinook salmon SARs and 2 to determine PITtag loss rates throughout thecomplete salmon lifecycle.

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Data and information collected by the submersible Johnson Sea-Link II at waypoints along its track during seventeen dives of the 2009 "Bioluminescence" expedition sponsored by the National Oceanic and Atmospheric Administration (NOAA) Office of Ocean Exploration and Research, July 20 through 31, 2009. Measurements and information include sub's position and depth; personnel assignments; dive, mission, target, and vehicle ID's; and hyperlinks to CTD plots.

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This Comprehensive Conservation Plan CCP was written to guide management on Minnesota Valley NWR and Wetland Management District for the next 15 years. This plan outlines the Refuge and WMD vision and purpose and describes how Minnesota Valley NWR and Wetland Management District will contribute to the overall mission of the Refuge System. The plan provides an introduction to the Refuge and the WMD, an overview of the CCP process, information about the environment, information about the management direction, and strategies for implementation. Key planning issues include: recreational uses, environmental education, habitat management, land acquisition, mosquito control, and infrastructure.

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United States Army I Corps news and information.

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The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for teh study area. The primary risk classificatinos 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 harzard 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 Managemeng Agency (FEMA).

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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 in the MTDB for locating special features and to help enumerators during field operations. Some of the more common landmark types include area landmarks such as airports, cemeteries, parks, schools, and churches and other religious institutions. The Census Bureau added landmark features to MTDB on an as-needed basis and made no attempt to ensure that all instances of a particular feature were included. The presence or absence of a landmark such as a hospital or prison does not mean that the living quarters associated with that landmark were geocoded to that census tabulation block or excluded from the census enumeration. The Area Landmark Shapefile does not include military installations or water bodies because they each appear in their own separate shapefiles, MIL.shp and AREAWATER.shp respectively.

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The Location Affordability Index is an indicator of housing and transportation costs at the neighborhood level. It gives the percentage of a given family's income estimated to be spent on housing and transportation costs in a given location for eight different household profiles. It is calculated using actual and modeled data for Census block groups in all 942 Combined Base Statistical Areas, which cover 94% of the U.S. population.

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Real-time kinematic global navigation satellite systems equipment was used to map features of wetlands at six locations of interest to the Lower Brule Sioux Tribe. Items mapped include general cross-sections (primarily to show elevation differences); man-made features such as access roads, outlet control structures, and water-supply pipes; vegetation features such as edge of cattails or food plots, trees or tree clusters; and hydrologic features like edge of water, springs, and high water marks.

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Ultrasonic guided wave nondestructive evaluation (NDE) techniques are being used to detect flaws and damage in fracture critical structures such as composites. In order to provide early detection of aging and damage processes in composites, we propose to develop a "virtual inspection" simulation toolbox specifically for ultrasonic guided waves. This toolbox will be able to evaluate ultrasonic guided wave NDE methods for its feasibility as part of the design process for critical system components, and it would include modeling the changes in critical material properties as indicators of material aging and then quantifying the levels of detectability of these material properties with the guided wave NDE technique. This computational tool will be able to accurately model the interaction between the changes in the material properties and the probing energy of guided waves to allow the development of the inspection parameters needed for application on a particular structure.

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The GSA Orderding System (GSA) is an automated ordering system for supplies available through GSA. All information about the order including the item description, item number, costs, accounting information, dates and status is recorded.

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This database contains trip-level reports submitted by vessels participating in Research Set-Aside projects with IVR reporting requirements.

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This map layer portrays 1989 and 1990 estimates for total personal income, per capita personal income, annual number of full-time and part- time jobs, average wage per job in dollars, population, and per capita number of jobs, for counties in the United States. Total personal income is all the income that is received by, or on behalf of, the residents of a particular area. It is calculated as the sum of wage and salary disbursements, other labor income, proprietors' income with inventory valuation and capital consumption adjustments, rental income of persons with capital consumption adjustment, personal dividend income, personal interest income, and transfer payments to persons, minus personal contributions for social insurance. Per capita personal income is calculated as the total personal income of the residents of a county divided by the resident population of the county. The Census Bureau's annual midyear population estimates were used in the computation. The average annual number of full-time and part-time jobs includes all jobs for which wages and salaries are paid, except jury and witness service and paid employment of prisoners. The jobs are counted at equal weight, and employees, sole proprietors, and active partners are all included. Unpaid family workers and volunteers are not included. Average wage per job is the wage and salary disbursements divided by the number of wage and salary jobs in the county. Wage and salary disbursements consist of the monetary remuneration of employees, including the compensation of corporate officers; commissions, tips, and bonuses; and receipts in kind, or pay-in-kind, such as the meals furnished to the employees of restaurants. It reflects the amount of payments disbursed, but not necessarily earned during the year. Per capita number of jobs is calculated as the average annual number of full-time and part-time jobs in a county divided by the resident population of the county. The Census Bureau's annual midyear population estimates were used in the computation. All dollar estimates are in current dollars, not adjusted for inflation. The information in this map layer comes from the Regional Economic Information System (REIS) that is distributed by the Bureau of Economic Analysis, http://www.bea.gov/. This is an updated version of the November 2004 map layer.

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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. Metropolitan Divisions subdivide a Metropolitan Statistical Area containing a single core urban area that has a population of at least 2.5 million to form smaller groupings of counties or equivalent entities. Not all Metropolitan Statistical Areas with urban areas of this size will contain Metropolitan Divisions. Metropolitan Division are defined by the Office of Management and Budget (OMB) and consist of one or more main counties or equivalent entities that represent an employment center or centers, plus adjacent counties associated with the main county or counties through commuting ties. Because Metropolitan Divisions represent subdivisions of larger Metropolitan Statistical Areas, it is not appropriate to rank or compare Metropolitan Divisions with Metropolitan and Micropolitan Statistical Areas. The Metropolitan Divisions for the 2010 Census are those defined by OMB and published in December 2009.

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This dataset was created using the PRISM (Parameter-elevation Regressions on Independent Slopes Model) climate mapping system, developed by Dr. Christopher Daly, PRISM Climate Group director. PRISM is a unique knowledge-based system that uses point measurements of precipitation, temperature, and other climatic factors to produce continuous, digital grid estimates of monthly, yearly, and event-based climatic parameters. Continuously updated, this unique analytical tool incorporates point data, a digital elevation model, and expert knowledge of complex climatic extremes, including rain shadows, coastal effects, and temperature inversions. PRISM data sets are recognized world-wide as the highest-quality spatial climate data sets currently available. PRISM is the USDA's official climatological data.

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IDEA Part C Section 618 Table 3 Exiting, 2011-2012 (IDEA Part C Table 3 2011-2012) is a study that is part of the IDEA Part C program; program data is available since 2006 at . IDEA Part C Table 3 2011-2012 is a cross-sectional universe report that collected counts of infants and toddlers with disabilities in each state who (a) are served under IDEA Part C, (b) are served in different program settings, and (c) exit Part C because of program completion or for other reasons. States submitted the report in spreadsheet form by mail or electronically by e-mail. Key statistics produced from IDEA Part C Table 3 2011-2012 provide insights on the demographics of children served under IDEA Part C, service settings, referral to preschool or other services, and personnel providing early intervention services.

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This map was produced by the Division of Realty to depict landownership at Panther Swamp National Wildlife Refuge. It was generated from rectified aerial photography, cadastral surveys and recorded documents.

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This data set portrays election results by State for the 2008 Presidential general election. It includes data for electoral votes and popular votes for the Democratic, Republican, and other political parties as well as the total popular vote.

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As part of a study of the possibility of using the urchin T. gratilla to control the growth of macroscopic algae on shallow reefs in Kaneohe Bay, we examined the growth rate of this urchin. We measured growth of tagged (PIT tagged) urchins at both sites where they were abundant (Sampan Channel site, Reef 13 and Reef 11) and at sites to which we introduced them (Coconut Island reef flat, Reef 22, Reef 29, Reef 19).

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The Compliance Query Wizard is part of a suite of Clean Air Markets-related tools that are accessible at http://ampd.epa.gov/ampd/. The Compliance module provides final compliance results. Using the Compliance Query Wizard, the user can find compliance information associated with specific programs, facilities, states or time frames. Quick Reports and Prepackaged Datasets are also available for data that are commonly requested. Final compliance results are available for all years since 1995 for the Acid Rain Program and for the various NOx trading programs EPA has operated since 1999. EPA's Clean Air Markets Division (CAMD) includes several market-based regulatory programs designed to improve air quality and ecosystems. The most well-known of these programs are EPA's Acid Rain Program and the NOx Programs, which reduce emissions of sulfur dioxide (SO2) and nitrogen oxides (NOx)-compounds that adversely affect air quality, the environment, and public health. CAMD also plays an integral role in the development and implementation of the Clean Air Interstate Rule (CAIR).

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EDFacts State Fiscal Stabilization Fund, 2010–11 (EDFacts SFSF:2010–11) is one of 17 'topics' identified in the EDFacts documentation (in this database, each 'topic' is entered as a separate study). EDFacts SFSF:2010–11 (ed.gov/about/inits/ed/edfacts) annually collects cross-sectional data about distribution of State Fiscal Stabilization Funds, uses of State Fiscal Stabilization Funds, tuition and fee information, public IHE student enrollment, tax increases averted, jobs saved or created, and progress in advancing education reform. EDFacts SFSF:2010–11 data were collected using an on-line system for annual performance report submission. Not submitting the required reports by a state constitutes a failure to comply with law and may have consequences for federal funding to the state. Key statistics produced from EDFacts SFSF:2010–11 are from eight data groups with information on High School Graduates Postsecondary Enrollment, High School Graduates Postsecondary Credits Earned, Persistently Lowest-Achieving School, Principal Evaluations, Principal Performance Level Names, Teacher Evaluations, Teacher Performance Level Names, and Charter School Closure Reason. For the purposes of this system, data groups are referred to as 'variables', as a result of the structure and format of EDFacts' data.

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Photoscience completed the original collection and classification of the multiple return LiDAR of Charleston County, South Carolina in the winter of 2006-2007. In 2009, Sanborn collected portions of Charleston County which were previously uncollected in 2006/7. In 2013, Dewberry was tasked with reviewing, updating and merging the original LiDAR products into one continuous data to include the 2006-2007 and 2009 separate projects. The 2006/2007 data was separated from the 2009 collected points in order to keep the 2 missions separate (collection dates, standards, data qualities, etc). The 2006-2007 data was removed by analyzing GPS time stamps of the LAS points in order to differentiate by collection year. The resulting LAS files left only the 2009 points which represent this project. The 2007 data already exists at OCM as part of a previous delivery. The nominal point spacing for this project is 1.4 meters. Dewberry used proprietary procedures to update and reclassify the LAS according to updated project specifications: 1-Unclassified, 2-Ground, 7-Noise, 8- Model Key Points, 9-Water, 10-Ignored Ground, 13- Points removed from bridges and culverts (which were moved to class 15 at OCM).