Multibeam collection for KM0712: Multibeam data collected aboard Kilo Moana from 2007-07-23 to 2007-07-27, departing from Honolulu, HI and returning to Honolulu, HI
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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This data set is part of a larger set of data called the MultiBeam Bathymetric Data Base (MBBDB) where other similar data can be found at http://maps.ngdc.noaa.gov/viewers/multibeam/
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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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.
Vydavatel National Aeronautics and Space Administration
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The monitoring data shown on this site provides near real-time results from Swift observations of Fermi-LAT "sources of interest" and flaring sources. While this list is dominated by blazars, some X-ray binaries and Galactic transients are also included. The preliminary results on this page are intended to provide rapid feedback to the scientific community to aid in target of opportunity planning, multiwavelength campaigns, and planning of interesting scientific publications.
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
Datum vydání před více než 9 roky
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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.
Admissions to Maryland State-Supported Alcohol and Drug Abuse Treatment Programs by Patient Residence, SFY 2008-2012
Vydavatel U.S. Department of Health & Human Services
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Only includes data from state-supported treatment programs. Data is by state fiscal year (SFY) which runs from July 1 - June 30.
Prevalence of Children with No Caries, Sealant or Restorations in Maryland School Children, 2005-2006
Vydavatel U.S. Department of Health & Human Services
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This is the weighted prevalence of 1,276 schoolchildren. 1,276 out of 1,280 cases examined had prevalence available. One out of 1,276 cases had grade information missed, 564 were in Kindergarten and 711 in 3rd grade. Prevalence is defined as occurrence of no caries, sealants, or restorations among all selected population. Region Identifiers and Constituent Counties: Western (Allegany, Frederick, Garrett, Washington); Central D.C. (Howard, Montgomery, Prince George’s); Southern (Calvert, Charles, St. Mary’s); Central Baltimore (Anne Arundel, Baltimore City, Baltimore County, Carroll, Harford); Eastern Shore (Caroline, Cecil, Dorchester, Kent, Queen Anne’s, Somerset, Talbot, Wicomico, Worcester).
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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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.
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Utilization and Costs of Health Services for Medicare Beneficiaries, Washington State and Counties, 2007-2013
Vydavatel U.S. Department of Health & Human Services
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Utilization and Costs of Health Services for Medicare Beneficiaries, Washington State and Counties, 2007-2013
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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The Sitka, Alaska Elevation Grid provides bathymetric data in ASCII raster format of 3 arc-second resolution in geographic coordinates. This grid is strictly for tsunami inundation modeling
Vydavatel National Aeronautics and Space Administration
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Contains fluxes of carbon dioxide and methane across the soil-air interface in four ages of jack pine forest at the Southern Study Area. Gross and net flux of CO2 and flux of CH4 between soil and air are presented for 24 chamber sites in mature jack pine stands.
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
Datum vydání před více než 9 roky
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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.
Real-Time XBT data assembled by US NOAA Atlantic Oceanographic Meteorological Laboratory (AOML) for the Global Temperature-Salinity Profile Program (GTSPP) and submitted 07/26/2010 - 08/01/2010 (NODC Accession 0066004)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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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.
Carbon dioxide, temperature, salinity, and other variables collected via surface underway survey from Volunteer Observing Ship Marion Dufresne in the Indian Ocean and Southern Oceans (> 60 degrees South) from 2004-01-06 to 2004-02-08 (NODC Accession 00809
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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Underway fCO2 measurements from OISO-11 cruise (Southern Ocean)
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
Datum vydání před více než 9 roky
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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.
Vydavatel Department of Agriculture
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Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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The area of coverage consists of 192 square miles of benthic habitat mapped from 2005 to 2007 in the Delaware River and Upper Delaware Bay. The bottom sediment map was constructed by the utilization of a Roxann Seabed Classification System and extensive sediment grab samples. Data was collected in a gridded trackline configuration, with tracklines spacing of 100 meters parallel to the shoreline and 200 meters perpendicular to the shoreline.This project is an extension of the work currently being performed in Delaware waters by DNREC's Delaware Coastal Program's Delaware Bay Benthic Mapping Project.The bottom sediment point data, which has been classified according to the existing benthic mapping Roxann box plot, are converted from a number that categorizes the point according to its corresponding box (in the Roxann) into a number which reflects the sediment properties of each box in relation to one another. A ranking scale is used to allow a statistical griding scheme to interpolate between sediment data points, while minimizing erroneous sediment classifications and allowing gradational sediment deposits to be gridded. A ranking scale from 0 to 28 was used for this project, with 0 representing the finest grained classifications (fluidized clay) and 28 representing the coarsest grained classifications (dense shell material). Table 1 illustrates the distribution of sediment classifications along the ranking scale, which takes into account the relation of sediment types and grain sizes to one another using both the Wentworth Scale and Shepard's classification system. Finer grains are more similar in their deposition environments, such as clay and silts, because they reflect similar current regimes, sorting, and reworking patterns (Poppe et al., 2003). While coarse sediments are much more dissimilar to finer grains, with respect to current velocities, sorting, and winnowing, the finer grains are much more closely related in their sediment diameters that the coarser grains as you increase in Phi size and/or diameter. These account for the close clustering of coarse grained deposit descriptions at the upper end of the ranking scale, while the finer grained sediments show a gradation as you increase in the rating scale.The bottom sediment data is gridded in Surfer 8, a surface and terrain modeling program, using block kriging and a nugget effect. This statistical griding technique estimates the average value of a variable within a prescribed local area (Isaaks and Srivastava, 1989). Block kriging utilizes the existing point data values, weights the values of the data depending upon the proximity to the point being estimated, to discretize the local area into an array of estimated data value points and then averaging those individual point estimates together to get an average estimated value over the area of interest (Isaaks and Srivastava, 1989). A variogram is constructed for the data, and the resultant spatial model that is developed from the variogram is used in the block kriging surface model to more accurately interpolate the sediment data . The fitted model was a nugget effect (with an error variance of 21.8%) and a linear model (with a slope of 0.00286 and an anisotropy of 1, which represents a complete lack of spatial correlation).The accuracy of the estimation is dependent upon the grid size of the area of interpolation, the size of each cell within the grid, and the number of discretized data points that are necessary to estimate the cells within that grid spacing. The grid size that was used to interpolate the bottom sediment maps was 442 lines x 454 lines, with a cell size of 44.93 m2. The nugget effect is added to allow the griding to assume there is very little, if any, lateral correlation or trends within the bottom sediment (Isaaks and Srivastava, 1989). The nugget effect model entails a complete lack of spatial correlation; the point data values at any particular location bear no similarity even to adjacent data values (Isaaks and Srivastava, 1989). Without the nugget effect the griding would assume that you could only have a linear progression of sediment types and would insert all the sediment types along the scale between two sediment types (i.e. silty fine to medium sands and fine to medium sand with varying amounts of pebbles would be inserted between fine sand and coarse sand even though that is not what is occurring along the bottom. The sediment data is gridded with no drift for the data interpolation, also helping to minimize erroneous classifications. Sediment Classification Ranking Sediment Description 0-11-2 Clay, 2-33-44-55-66-7 Silt, 7-88-9 Sandy Silts, 9-1010-11 Fine Sand, 11-1212-13 Silty Fine to Medium Sands, 13-14 Silty Medium Sand, 14-1515-16 Fine to Medium Sand, 16-1717-18 Fine to Medium Sand with abundant shell material and/or pebbles, 18-1919-20 Coarse Sand with varying amounts of pebbles, 20-2121-2222-23 Moderate Shell Material/Sandy Pebbles, 23-2424-2525-26 Abundant Shell Material/Gravel, 26-2727-28 Dense Oyster Shell
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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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.
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
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TerraPoint surveyed and created this data for the Puget Sound LiDAR Consortium under contract. The area surveyed is approximately 167 square miles and covers a northwest portion of Snohomish County, WA. All data was collected during ideal conditions (leaf-off). The LAS files were derived from all returns ASCII files contain the X,Y,Z values of all the LiDAR returns collected during the survey mission. The GPS time, classification, scan angle, intensity and return numbers of each point were preserved in the conversion from ASCII to LAS. The LAS files are classified into the following ASPRS classes: (1) Unclassified (2) Bare Earth. Ground and water points are included in Class 2 (Bare Earth). Futher details are available in the Process Steps below. The NOAA Office for Coastal Management noticed that some intensity values are 0, so be aware before using the intensity information. This dataset was flown in 2003 with a 50% overlap between flight lines. Due to the overlap the nominal point spacing of the dataset is 1.0 meter.
Vydavatel National Aeronautics and Space Administration
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Contains the data collected in 1994 by the AMS suite A instrument set operated by SRC and provided to BORIS.
Vydavatel US Fish and Wildlife Service, Department of the Interior
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This map demonstrates the spatial location and total number of refuges within the Western Alaska LCC, and USFWS regional boundaries.
Vydavatel U.S. Department of Health & Human Services
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This dataset contains the annual number of preterm births and the percent of total births these preterm births represent, with corresponding 95% confidence intervals, by Chicago community area, for the years 1999 – 2009. See the full dataset description for more information: http://bit.ly/M7AyBL
Vydavatel National Aeronautics and Space Administration
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CALIPSO Infrared Imaging Radiometer Level 1B radiance data
Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce
Datum vydání před více než 9 roky