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These data represent data collected from the Shipboard Environmental (data) Acquisition System (SEAS), a program developed by National Oceanic and Atmospheric Administration (NOAA) to provide accurate meteorological and oceanographic data in real time from ships at sea through the use of satellite data transmission techniques. The system transmits data through either the Geostationary Operational Environmental Satellite (GOES) or the International Maritime Satellite Organization (INMARSAT C) satellites to NOAA for use in weather, climatological and ocean models. NOAA is actively participating in an international effort to increase the number of subsurface temperature observations in support of global oceanographic and climate studies. NOAA's Expendable Bathythermograph (XBT) program, SEAS, currently supports about 80 Voluntary Observing Ships (VOS). SEAS XBT data are archived by the National Oceanographic Data Center (NODC) on a weekly basis.

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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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Grand monthly mean Sea Surface Temperature http://podaac.jpl.nasa.gov/ Naming Convention: XXXX_YYYY1YYYY2_MM_GAVGSST.tif XXXX=location (Stell) YYYY1=start year YYYY2=end year MM=month GAVGSST= grand monthly mean SST image Example filename: Stell_19852004_01_GAVGSST.tif

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Chemical, physical, profile and laboratory analysis oceanographic data were collected aboard the Brooks McCall in the Gulf of Mexico from 2010-08-21 to 2010-08-25 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include Attenuation/Transmission, CDOM fluorescence, Semivolatile Organic Compounds, Total Petroleum Hydrocarbons (TPH), Volatile Organic Compounds, conductivity, dissolved oxygen, hydrostatic pressure, salinity, sound velocity, suspended solids, temperature and water density. The instruments used to collect these data included CTD, Laser In-Situ Scattering and Transmissometer (LISST), Transmissometer, bottle, fluorometer and oxygen meter along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). The analytical chemistry data are provisional and provide results of onshore laboratory analysis of water and sediment samples. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0069090)

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This data set reports the results of the analysis of soil samples for Nitrate (NO3) and physical properties that were collected for one year following reduced impact logging in logging concessions at the Fazenda Rohsamar in the municipality of Juruena in northwestern Mato Grosso. Sample locations were randomly selected from stratified regions of the 1,400 ha Block 5 to account for local scale soil variability. Soil samples were collected to 8-m depth in (1) nine gaps formed by single tree removal and (2) nine areas of undisturbed primary forest. Areas of undisturbed forest were confined to patches of forest within Block 5 that were protected from logging. An additional 3 forested areas were sampled to 3-m depth that contained high sand content. These results quantified the effects of reduced impact logging, to test whether nitrogen (N) loss from leaves and coarse woody debris under reduced impact logging results in a significant accumulation of subsoil nitrate (Feldpausch et al., 2009). One comma separated data file contains the soil moisture results and a second file the soil NO3 content and soil physical properties.

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Master thesis on the population abundance and genetic structure of black bears in coastal North Carolina and Virginia using noninvasive genetic technigues on Pocosin Lakes, Alligator River and Great Dismal Swamps National Wildlife Refuges. The United States Fish and Wildlife Service USFWS expressed the need to develop appropriate management strategies for apparently highdensity, growing black bear populations in the RoanokeNeuseTarCape Fear ecosystem in coastal North Carolina and Virginia. In order to provide the scientific information necessary to develop these strategies, I investigated population densities and genetic structure of black bears at 3 national wildlife refuges Great Dismal Swamp GDSNWR, Pocosin Lakes PLNWR, and Alligator River ARNWR. Density estimates were derived from DNA samples collected noninvasively at each of the 3 refuges for 2 consecutive summers. Hair samples were analyzed for individual identification using 67 microsatellite markers. Estimated densities were some of the highest reported in the literature and ranged from 0.560.63 bearskm2 at GDSNWR to 0.651.12 bearskm2 at ARNWR to 1.231.66 bearskm2 at PLNWR. Sex ratios were malebiased in all areas of all refuges. Genetic variability and structure of bears at these refuges was assessed using 16 microsatellite markers for 40 bears from each refuge. Genetic variability of the 3 refuge populations was substantially high compared to other bear populations in North America, with observed heterozygosities ranging from 0.6729 at GDSNWR to 0.7219 at ARNWR. FST and DS values were relatively low 0.02570.0895 and 0.09710.3640, respectively, indicating movement of bears and gene flow across the landscape is adequate to prevent high levels of genetic differentiation and structure among the refuge bears. Genetic statistics at GDSNWR indicate that this population is isolated to some degree by geography i.e., the Albemarle Sound and encroaching urban development i.e., the towns of Suffolk and Chesapeake. ARNWR has the potential to become isolated in the future if movement corridors to the south of the refuge are not maintained.Harvest of bears is likely warranted at PLNWR and ARNWR, though extreme caution must be taken the first few seasons as hunter success will be extremely high. Further research is needed to determine population growth rates, reproductive parameters, and survival rates at all 3 refuges, particularly if a hunting season will be established and maintained in these areas. Methods for regularly monitoring bear populations at these refuges also should be incorporated into biological programs, as bears comprise a significant component of the ecosystem at these refuges and cannot be ignored when outlining management goals.

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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 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 Feature Names Relationship File (FEATNAMES.dbf) contains a record for each feature name and any attributes associated with it. Each feature name can be linked to the corresponding edges that make up that feature in the All Lines Shapefile (EDGES.shp), where applicable to the corresponding address range or ranges in the Address Ranges Relationship File (ADDR.dbf), or to both files. Although this file includes feature names for all linear features, not just road features, the primary purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute, which can be used to link to the Address Ranges Relationship File (ADDR.dbf). The linear feature is identified by the linear feature identifier (LINEARID) attribute, which can be used to relate the address range back to the name attributes of the feature in the Feature Names Relationship File or to the feature record in the Primary Roads, Primary and Secondary Roads, or All Roads Shapefiles. The edge to which a feature name applies can be determined by linking the feature name record to the All Lines Shapefile (EDGES.shp) using the permanent edge identifier (TLID) attribute. The address range identifier(s) (ARID) for a specific linear feature can be found by using the linear feature identifier (LINEARID) from the Feature Names Relationship File (FEATNAMES.dbf) through the Address Range / Feature Name Relationship File (ADDRFN.dbf).

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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 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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Satellite fire detection was determined from two sensors, the Advanced Very High Resolution Radiometer (AVHRR) on NOAA-12 and the Moderate Resolution Imaging Spectroradiometer (MODIS) on both the Terra and Aqua platforms, for 2001- 2003 to characterize fire activity in Brazil, giving special emphasis to the Amazon region. Active fire data for AVHRR/NOAA-12 was produced using a fixed threshold fire detection technique based on the algorithm developed by the Centro de Previsao do Tempo e Estudos Climaticos (CPTEC/INPE) (Setzer and Pereira, 1991; Setzer et al., 1994; Setzer and Malingreau, 1996). Active fire data for MODIS/Terra and MODIS/Aqua was produced using a contextual fire detection technique based on NASA-University of Maryland algorithm (Justice et al., 2003; Giglio et al.2003).Resulting fire counts were compared for major biomes of Brazil (Figure 1), the nine states of the Legal Amazon (e.g., Tocantins, Figure 2), and two important road corridors in the Amazon region (Figure 3). In evaluating the daily fire counts, there is a dependence on variations in satellite viewing geometry, overpass time, atmospheric conditions, and fire characteristics (Schroeder et al., 2005). The data provided are the coordinates of daily active vegetation fires in Brazil for 2001 through 2003 at 1km resolution for both AVHRR and MODIS sensors. Data are provided in both Arcview (shape file format) and ASCII comma separated file formats. Vector files for the major biomes of Brazil, the nine states of the Legal Amazon, and two important road corridors in the Amazon region are also included.

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This Comprehensive Conservation Plan CCP was written to guide management on Bear Butte NWR for the next 15 years. This plan outlines the Refuge vision and purpose and describes how Bear Butte 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, information about the limitedinterest Refuge, alternatives, affected environments, and environmental consequences. Key planning issues include: wildlife and habitat management, public use, cultural resources, and partnerships.

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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 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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Marine toxic substance and other data were collected from grab casts in the Bering Sea from the USCGC POLAR STAR from 29 April 1980 to 28 June 1980. Data were collected by the University of California, Los Angelus (UCLA) as part of the Outer Continental Shelf Environmental Assessment Program (OCSEAP). Data were processed by NODC to the NODC standard F144 Marine Toxic Substances format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/f144.html. An analog file for this accession is available from NODC user services. The F144 format contains data on ambient concentrations of toxic substances and other pollutants in the marine environment. The data derive from laboratory analyses of samples of water, sediment, or marine organisms. Samples may have been collected near marine discharge sites or during ocean monitoring surveys of large areas. Field observations of tar deposits on beaches may also be reported. Survey information includes platform type, start and end dates, and investigator and institution. If data are collected near a discharge site, discharge location, depth, distance to shore, average volume, and other characteristics are reported. Position, date, time and environmental conditions are reported for each sample station. Environmental data may include meteorological and sea surface conditions, tide stage and height, depth of the thermocline or mixed layer surface temperature and salinity, and wave height and periods. Sample characteristics, collection methods, and laboratory techniques are reported for each sample collected and analyzed. The data record comprises concentration values (or a code to indicate trace amounts) for each chemical substance analyzed. Chemical substances are identified by codes based on the registry numbers assigned by the Chemical Abstracts Service (CAS) of the American Chemical Society. Marine organisms from which samples have been taken are identified using the 12-digit NODC Taxonomic Code. A text record is available for optional comments.

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NODC Accession 0112224 includes chemical, discrete sample, physical and profile data collected from HOKKO MARU in the North Pacific Ocean from 2006-07-15 to 2006-07-25 and retrieved during cruise HK0607 and PACIFICA_49H520060715. These data include DISSOLVED INORGANIC CARBON, HYDROSTATIC PRESSURE, NITRATE + NITRITE CONTENT (CONCENTRATION), PHOSPHATE, SALINITY, SILICATE and WATER TEMPERATURE. The instruments used to collect these data include CTD, Coulometer for DIC measurement and bottle. These data were collected by Tsuneo Ono of National Research Institute of Fisheries Science as part of the PACIFICA_49H520060715 data set. PACIFICA (PACIFic ocean Interior CArbon) was an international collaborative project for the data synthesis of ocean interior carbon and its related parameters in the Pacific Ocean. The North Pacific Marine Science Organization (PICES), Section of Carbon and Climate (S-CC) supported the project.

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Current meter components and physical data were collected from current meters and CTD casts from NOAA Ship RONALD H. BROWN and other platforms from 14 June 1996 to 05 October 1997. Data were collected by the Pacific Marine Environmental Laboratory (PMEL) as part of the VENTS program. Data were processed by NODC to the NODC standard F015 Current Meter Components and F022 High Resolution STD/CTD data format. Full format and format code descriptions are available at http://www.nodc.noaa.gov/General/NODC-datafmts.html. The F015 format contains time series measurements of ocean currents. These data are obtained from current meter moorings and represent the Eulerian method of current measurement, i.e., the meters are deployed at a fixed point and measure flow past a sensor. Position, bottom depth, sensor depth and meter characteristics are reported for each station. The data record includes values of east-west (u) and north-south (v) current vector components at specified date and time. Current direction is defined as the direction toward which the water is flowing with positive directions east and north. Data values may be subject to averaging or filtering and are typically reported at 10 - 15 minute time intervals. Water temperature, pressure and conductivity or salinity may also be reported. A text record is available for optional comments. The F022 format contains high-resolution data collected using CTD (conductivity-temperature-depth) and STD (salinity-temperature-depth) instruments. As they are lowered and raised in the oceans, these electronic devices provide nearly continuous profiles of temperature, salinity, and other parameters. Data values may be subject to averaging or filtering or obtained by interpolation and may be reported at depth intervals as fine as 1m. Cruise and instrument information, position, date, time and sampling interval are reported for each station. Environmental data at the time of the cast (meteorological and sea surface conditions) may also be reported. The data record comprises values of temperature, salinity or conductivity, density (computed sigma-t), and possibly dissolved oxygen or transmissivity at specified depth or pressure levels. Data may be reported at either equally or unequally spaced depth or pressure intervals. A text record is available for comments.

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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 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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XBT data were collected from the NOAA Ship FAIRWEATHER in support of the Integrated Global Ocean Services System (IGOSS). Data were collected by the US DOC; NOAA; National Ocean Service - Seattle from 21 August 1973 to 23 August 1973. 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 expendable bathythermograph (XBT) instruments. Standard XBTs can obtain profiles at depths of about 450 or 760 m. With special instruments, measurements can be obtained to 1830 m. Cruise information, position, date, and time are reported for each observation. The data record comprises pairs of temperature-depth values. Unlike the MBT data file, in which temperature values are recorded at uniform 5m intervals, the XBT Data File contains temperature values at non-uniform depths. These depths are at a minimum number of points ("inflection points") required to record the temperature curve to an acceptable degree of accuracy. On output, however, the user may request temperature values either at inflection points or interpolated to uniform depth increments.