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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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Semi-annual reports issued in April and September of each year summarized the activities of the Office during the immediately preceding six-month periods ending March 31 and September 30. Reports include descriptions of programs and operations of Commerce deficiencies identified with significant recommendations on which corrective actions has not been completed.

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This 30-meter resolution raster data set of land cover for the conterminous United States ("NLCDep0306") was designed to describe conditions representative of the year 2000 and is the result of overlaying enhanced 1992 National Land Cover Data with 1990 and 2000 population data at the block group geographic level. Any area (excluding water, developed land, or wetlands) with population density of less than 1,000 people per square mile in 1990 and at least 1,000 people per square mile in 2000 was reclassified as "newly urbanized" land in the derivative product. Areas of water, developed land, or wetlands existing in the original national land-cover data set were preserved. This data set supersedes the one called "Enhanced National Land Cover Data 1992 revised with 2000 population data to indicate urban development between 1992 and 2000" ("NLCDep0905") dated September 2005. NLCDep0905 coded any area having 2000 population density of at least 1,000 people per square mile as being recently urbanized and did not consider that the area could already have been urbanized in 1990. The approach used in developing NLCDep0905 was determined to have misclassified lands that already were urban in 1990 as newly urbanized and therefore overrepresented new urban land.

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The purpose of this matching program is to provide the Department of Veterans Affairs (VA), both the Veterans Benefit Administration (VBA) and Veterans Health Administration (VHA), with data from income tax return information disclosed to SSA to verify eligibility for VA health benefit programs. The SSA data is used to verify earnings information. VHA will also use SSA’s records of wage and self-employment income to verify the veterans’ employment status. Health insurance information (obtained from veteran, spouse and/or employer during employment verification) and/or income data (verification of which changes eligibility for medical care) may be forwarded to VHA medical center facilities for eligibility category changes and potential billing activities. VA also submits a weekly file through this exchange to support the VA/SSA/IRS White House Data Sharing initiative to reduce the VA backlog.

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This data set contains gridded brightness temperatures and sea ice concentrations for both polar regions. It spans the period from October 1978 through August 1987, when the Nimbus-7 SMMR scanner was turned off. The data were collected every other day at 6.60, 10.69, 18.00, 21.00 and 37.00 GHz. Due to spacecraft power limitations, the scanner operated only on alternate days. There are usually at least foutreen days of coverage per month, although major data gaps occurred during the month of August. In August 1982, the following days are missing for both polar regions: 4th, 8th, and 16th; in August 1984, the 13th through the 23rd are missing for both polar regions; and in August 1985, the 6th through 8th are missing for the Southern Hemisphere. Brightness temperature and sea ice concentration grids have 25 x 25 km grid elements in polar stereographic projection. Volume 7 contains all SMMR sea ice concentrations for both polar regions, plus five months of brightness temperature grids for the North polar region. Brightness temperature grids are stored as 16-bit integers, one day of brightness temperature data is 0.27 mbytes for the North polar region, 0.21 mbytes for the South. Ice grids are stored as 8-bit integers. Files contain 136192 bytes and 104912 bytes for the North and South respectively. The NASA Team Algorithm (Cavalieri et al. 1984, Gloersen and Cavalieri 1986) was used to calculate ice concentrations from the brightness temperatures. The data were produced by Dr. P. Gloersen, NASA/GSFC, Oceans and Ice Branch, and are available via FTP. Notice to Data Users: SMMR TCT tapes comprised the input data set, unlike the SMMR Digital Media product distributed by NSIDC in 1979.

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The Population Database of Mexico contains geographically referenced population data for Mexican states, municipalities and localities from the 1990 Mexican population and housing census. The data include population by gender and age group for approximately 83.7% of the Mexican population. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). (Suggested Usage: To provide geographically referenced population data for Mexico for conducting assessments of human interactions with the environment.)

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This data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the ACOS Project, from algorithm build version 2.9 The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the ACOS Project with additional geolocation information and further corrections. These ACOS Level 1B products (with calibrated radiances and geolocation) are the input to the ACOS Level 2 production process. Even though the GES DISC is not publicly distributing Level 1B ACOS products, it should be known that changes in this version are affecting both Level 1B and Level 2 data. An important enhancement in Level1B will address the degradation in the number of quality-passed soundings in v2.8. Elimination of many systematic biases, and better agreement with TCCON (Total Carbon Column Observing Network), is expected in Level 2 retrievals. The key changes to the L2 algorithm include scaling the O2-A band spectroscopy (reducing XCO2 bias by 4 or 5 ppm); using interpolation with the instrument lineshape [ ILS ] (reducing XCO2 bias by 1.5 ppm); and fitting a zero level offset to the A-band. Users have to also carefully familiarize themselves with the disclaimer in the new documentation. An important element to note are the updates on data screening. Although a Master Quality Flag is provided in the data product, further analysis of a larger set of data has allowed the science team to provide an updated set of screening criteria. These are listed in the data user's guide, and are recommended instead of the Master Quality Flag. Lastly, users should continue to carefully observe and weigh information from three important flags: sounding_qual_flag - quality of input data provided to the retrieval processing outcome_flag - retrieval quality based upon certain internal thresholds (not thoroughly evaluated) master_quality_flag - four possible values: "Good", "Caution" and "Bad", and "Failed", as determined from other flags in the L2 product The short name for this data type is ACOS_L2S.

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The Terrestrial Planet Finder (TPF) project is considering several approaches to discovering planets orbiting stars far from earth and assessing their suitability to support life. One of these approaches is based on a coronagraph design operating in the visible wavelength regime, which requires both very high surface quality, large aperture, telescope optics and advanced optical systems to reject direct, scattered and diffracted starlight that is on the order of 1x109 brighter than the light reflected from the planet. The project has the need for advanced optical modeling and design tools that include physical optical calculations to support propagation results at a contrast level of 1x10-11 at the image plane of the coronagraph. The CODE V software is the most advanced software available for a wide variety of state of the art optical engineering tasks, and would be ideally suited for the TPF project once the proposed capabilities are integrated. Optical Research Associates proposes to extend capabilities of a newly researched method for beam propagation to support the optical system modeling needs of the TPF coronagraph project. The result will be an optical design and analysis tool to provide another means for predicting the performance of this important astronomical asset.

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Data from Coral Reef Ecosystem Division (CRED), NOAA Pacific Islands Fisheries Science Center (PIFSC) conductivity and temperature recorders provide a time series of conductivity and water temperature at coral reef sites. Data is typically collected at 1800 second intervals using a MicroCAT Model SBE37 (Seabird Electronics, Inc., www.seabird.com). Time series data combining multiple deployments from a given site may also be available. Please contact CRED with any questions. For program information see the web site http://www.pifsc.noaa.gov/cred/oceanography.php

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This metadata document describes the collection and processing of Light Detection and Ranging (LIDAR) data over an area along the coast of Saginaw Bay, Lake Huron, Michigan. Data was collected at a nominal two (2) meter post spacing between points. The elevations in this data set represent the first surface returns. Features that are above the ground - such as buildings, bridges, tree tops, etc. - have NOT been eliminated.

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Source for national data: National Occupant Protection Use Survey (NOPUS), 2012. Source for state data: State Observational Survey of Seat Belt Use, 2012.

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Skylab model. Polygons: 27533 Vertices: 15041

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This tabular data set represents the estimated area of level 3 ecological landscape regions (ecoregions), as defined by Omernik (1987), compiled for every MRB_E2RF1 catchment of the Major River Basins (MRBs, Crawford and others, 2006). The source data set is Level III Ecoregions of the Continental United States (U.S. Environmental Protection Agency, 2003). The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).

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The Form 41 Financial Reports contain financial information on large certified U.S. air carriers. Financial information includes balance sheet, cash flow, employment, income statement, fuel cost and consumption, aircraft operating expenses, and operating expenses. This data is collected by the Office of Airline Information of the Bureau of Transportation Statistics.

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<p>Natural User Interface (NUI) is a term used to describe a number of technologies such as speech recognition, multi-touch, and kinetic interfaces. Gesture and voice control are two exciting computer input modalities for the NUI. Some believe that NUI is the next step forward from the traditional graphical user interface (GUI), which employs a mouse and keyboard as the primary means of input. The goal of NUI is to develop interfaces that do not have a steep learning curve and the interactions with these interfaces are “natural” and intuitive to the user.</p><p>One disadvantage of current GUIs is that they require the users to be physically near an input device in order to interact with the system. With the NUI, however, through using voice and gesture commands, the user is able to interact with the system <em>anywhere</em> they want within the defined work environment. Such “Interface Anywhere” gesture ability is achievable using infrared technology. The voice recognition portion is achievable through array microphones and Kinect software. Our NUI system of choice for this proof of concept is the Microsoft Kinect sensor. The heart of the system and what makes gesture recognition possible is the Kinect’s skeleton tracking ability. The Kinect contains an infrared projector and receiver, a normal RGB camera, and an array of four microphones. The system tracks multiple users in x-, y-, and z-space. Based on the depth information, the Kinect generates a skeleton using joint position.</p>

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This report summarizes a study done on Kenai National Wildlife Refuge to determine which habitats moose prefer to calve in. The majority of observations of female moose,Alces alces with recentlyborn calves have been in open, bogmeadow, black spruce, Picea mariana, habitats on the Kenai National Moose Range, but many moose probably calve in other areas where they are more difficult to observe. Frequent aerial surveys over the MooseChickaloon River Area during the calving period from 1957 to 1970 revealed maximum numbers of observed cows in the calving area in 1964, or 17 years after a major wildfire burned through the area. Numbers of observed cows declined after several years of antlerless seasons and several severe winters but increased again after antlerless seasons were suspended and winters moderated. Numbers of observed calves paralleled numbers of observed cows. Maximum twinning rates declined from a high of 46 percent in 1962 to 7 percent in 1966 but increased to 48 percent in 1969. Twinning rates appeared related to forage conditions, mild winters and moose density. General observations and observed numbers of calves suggest two birth peaks may have occurred in the 1960s, one in early June and another in early July. Population estimates suggest generally less than 20 percent of the refuges moose population calve in the MooseChickaloon River Area.

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State Legislative Districts (SLDs) are the areas from which members are elected to State legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by State participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Ohio, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation. 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 boundaries of the 2014 State legislative districts were provided by state-level participants through the RDP and reflect the districts used to elect members in or prior to the November 2014 election.

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The U.S. Department of Agriculture (USDA) Farm Service Agency’s (FSA) Emergency Conservation Program (ECP) provides emergency funding and technical assistance to farmers and ranchers to rehabilitate farmland damaged by natural disasters and for implementing emergency water conservation measures in periods of severe drought. Funding for ECP is appropriated by Congress. ECP may be available in areas without regard to a Presidential or Secretarial emergency disaster designation.

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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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The study documented the interaction between hydrology and the biological dynamics within a single spring season at Lisbon Bottom in 1999. The study goal was to provide information necessary for resource managers to develop management strategies for this and other units of the Big Muddy National Fish and Wildlife Refuge. Researchers studied the hydrology, limnology, and biological dynamics of zooplankton, macroinvertebrates, fish and waterbird communities. Lisbon Bottom is one of several parcels of 1993 flooddamaged land that was purchased from willing sellers by the U.S. Fish and Wildlife Service as part of the Big Muddy National Fish and Wildlife Refuge. Lisbon Bottom is a loop bend in the river near Glasgow in Howard County, Missouri between approximately river mile RM 213 to RM 219. Flooding at Lisbon in 1993 and 1995 breeched local levees and created a diverse wetland complex.

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This annual narrative report for Kulm Wetland Mangement District outlines Refuge accomplishments during the 1982 calendar year. The report begins with a summary of the years highlights and weather conditions. Land acquisition is covered. The report includes a planning section which discusses research and investigations. Refuge administration is outlined; information about personnel, youth programs, manpower programs, funding, safety, and technical assistance is given. Habitat management is also covered; subjects include wetlands, croplands, grasslands, grazing, haying, fire management, pest control, and WPA easements. The wildlife section of the report discusses endangered and threatened species, waterfowl, marsh birds and waterbirds, raptors, game mammals, animal control, and disease control. The public uses of the Refuge described in this report include outdoor classrooms, interpretive programs, hunting, fishing, trapping, outdoor recreation, and law enforcement. The equipment and facilities section of the report provides information about new construction, rehabilitation, major maintenance, equipment replacement, communication systems, and energy conservation. Items of interest are provided at the end.

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Underwater Site 10P was established off Rose Atoll, American Samoa by Dr. James Maragos, U.S. Fish Wildlife Service, on July 31, 1999. The site was originally called Site D and later renamed Site 10P. With a start point meter 0 at latitude 14 33.075S longitude 168 09.622W, a series of metal stakes were pounded into the substrate to delineate a 50meter line that could be relocated and reassessed on future surveys. A fiberglass tape was unrolled along the line marked by the stakes and a series of photographs was taken of the benthos in consecutive 1metersquare 1m x 1m quadrats, using a Nikon RS camera with 35mm colorpositive slide film in an underwater housing mounted atop a 1metersquare 1m x 1m quadrat. The colorpositive slides were later scanned 600dpi using the Epson V750 scanner and software. The overall goal was to acquire data from the photographs and analyze and present quantitative data in a manner to be useful for scientists and refuge management. Each image is labeled with a 3letter location code ROS, date 31July99, site number 10P, and meter interval along the transect line e.g., 56M. The software program SigmaScan Pro 5.0 was used to analyze each image. Analysis was completed by a single observer, Alison Veit. For each photoquadrat, the anthozoan colonies were identified scleractinian genera Montipora, Acropora, Favia, Favites, Montastrea, Goniastrea, and the maximum diameter cm of each colony determined. The center of each colony had to fall within the photoquadrat frame in order to be counted for a photoquadrat. If the colony extended beyond one photoquadrat, one diameter was determined and counted in the photoquadrat in which the center of the colony was found. After all the anthozoan colonies in the photoquadrat had been measured, the data were binned into 7 size classes 15 cm, 610 cm, 1120 cm, 2140 cm, 4180 cm, 81160 cm, 160 cm. A visual estimate of percent coral cover in each quadrat was also recorded.

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The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.

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This report covers the preliminary investigation of potential contaminant problems that may be associated with lands proposed for inclusion within Reelfoot and Lake Isom National Wildlife Refuge. The information and conclusions contained in this report are based upon discussion and correspondence with federal personnel.

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The Toxics Release Inventory (TRI) Explorer Widget allows the user to generate reports on releases, transfers, and waste managed that can be displayed by facility, chemical, geographic area, industry (NAICS code), reporting years, or mapped. Also State fact sheets can be generated.