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The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project (for additional information about Argo, see http://www.argo.ucsd.edu/ (last accessed June 2006)). Argo data archived by the US NODC on a weekly basis starting the second quarter of FY 2003, may include real-time and/or delayed-mode profiles of ocean temperature and salinity, as well as related conductivity and/or pressure measurements (if any), collected by Argo profiling floats.

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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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This product consists of meteorological data from 105 Arctic weather stations and 137 Antarctic stations, extracted from the National Climatic Data Center (NCDC)'s Integrated Surface Hourly (ISH) database. Variables include wind direction, wind speed, visibility, air temperature, dew point temperature, and sea level pressure. Temporal coverage varies by station, with the earliest record in 1913 and the latest in 2002. Data are in tab-delimited ASCII text format, with one file per station and year. Graphs of meteorological variables throughout the time series accompany the ASCII data. Data are available via FTP.

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This SeaLevel Affecting Marshes Model SLAMM report presents a model for projecting the effects of sealevel rise on coastal marshes and related habitats on Matlacha Pass National Wildlife Refuge. This SeaLevel Affecting Marshes Model SLAMM report presents a model for projecting the effects of sealevel rise on coastal marshes and related habitats on Matlacha Pass National Wildlife Refuge. The model is spatially explicit, using GIS technology to produce maps and tables that summarize the projected effects. The SLAMM simulations include five primary processes that affect wetland fate under different scenarios of sealevel rise including: inundation, erosion, overwash, saturation, and accretion.

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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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CALIPSO Infrared Imaging Radiometer Level 1B radiance data

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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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This data set provides the results of soil physical property and chemical measurements of samples collected from two pasture chronosequences (years since conversion from primary forest) located on two ranches south of Santarem, Para, Brazil, and east of the Tapajos River. Soil data includes soil classification, bulk density, texture, and mean concentrations of total nitrogen (N), carbon (C), phosphorus (P), and P fractions. The soils were high clay oxisols and highly sandy entisols.One chronosequence of sites was established on oxisol soils dating 2, 7, and 15 years since conversion from primary forest. A second set of sites, 1, 7, and 15 years old was established on the sandy entisols. Five of the six pasture sites were on a single ranch; the 2-year-old oxisol pasture was the exception. Ten soil samples per site were collected from 0-10 cm depth along random intervals within 100-m transects in August 1997.There are two comma-delimited (.csv) data files with this data set.

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Secondary neutrons make a significant contribution to the total absorbed dose received by space crews during long duration space missions However, only a limited number of measurements of the dose contribution from secondary neutrons have been made. In part this is due to an inability to easily discriminate between the fraction of dose which results from secondary neutrons and that which results from exposure to energetic charged particles. The energy of the secondary neutrons range from 1 to >100 MeV. Scintillation materials provide the optimum volume to payload performance, but their use has been limited by the need for PMTs. A compact, lightweight, low-voltage, sensitive photodetector, such as CMOS SSPMs are an ideal candidate for this application. In this work, we propose to develop a compact, lightweight, energy-efficient dosimeter for secondary neutrons from space radiation using state-of-the-art scintillation materials with a charged particle shield coupled to a high-gain, solid-state photomultiplier (SSPM), which is a high-density array of Geiger photodiodes, fabricated with CMOS (complementary metal-oxide-semiconductor) technology. Such a dosimeter would overcome many of the limitations in the current generation of neutron dosimeters and meet the dosimetry needs for future human-space-exploration missions to the moon and Mars.

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This project is a cooperative effort between the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment, the University of Hawaii, and Analytical Laboratories of Hawaii, LLC. The goal of the work was to develop coral reef mapping methods and compare benthic habitat maps generated by photointerpreting georeferenced color aerial photography, hyperspectral and IKONOS satellite imagery. The enhanced spectral resolution of hyperspectral and control of bandwidths of multispectral data yield an advantage over color aerial photography particularly when coral health and time series analysis of coral reef community structure are of interest. Depending on the type of instrument, a spectral imaging system can be utilized to see multiple colors from ultraviolet through the far infrared range. The AURORA hyperspectral imaging system collected 72 ten nm bands in the visible and near infrared spectral range with a 3 meter pixel resolution. The data was processed to select band widths, which optimized feature detection in shallow and deep water. Photointerpreters can accurately and reliably delineate boundaries of features in the imagery as they appear on the computer monitor using a software interface such as the Habitat Digitizer.

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The Conductivity, Temperature and Depth (CTD) data were collected as part of El Nino watch. R/V Thomas G. Thompson was used to collect data from TOGA Area-Pacific (30 N to 30 S). The data was collected over a three month period spanning from June 18, 1985 to July 15, 1985. Data was submitted by Woods Hole Oceanographic Institution, Woods Hole, MA in a tape. The data has been processed by NODC and is available in F022-CTD Hi resolution file format.

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NODC Accession 0113577 includes biological, chemical, discrete sample, physical and profile data collected from MARION DUFRESNE in the Indian Ocean from 2001-01-03 to 2001-01-26 and retrieved during cruise CARINA/35MF20010103 and OISO-06. These data include ALKALINITY, CHLOROPHYLL A, DISSOLVED INORGANIC CARBON, DISSOLVED OXYGEN, HYDROSTATIC PRESSURE, NITRATE, Potential temperature (theta), SALINITY, SILICATE and WATER TEMPERATURE. The instruments used to collect these data include CTD and bottle. These data were collected by C. Lo Monaco of Universite Pierre et Marie Curie; Institut Pierre Simon Laplace; Laboratoire D'Oceanographie et du Climat: Experimentations et Approches Numeriques and Nicolas Metzl of Universite Pierre et Marie Curie; Laboratoire de Biogeochimie et Chimie Marines as part of the CARINA/35MF20010103, OISO-06 data set. The CARINA (CARbon dioxide IN the Atlantic Ocean) data synthesis project is an international collaborative effort of the EU IP CARBOOCEAN, and U.S. partners. It has produced a merged internally consistent data set of open ocean subsurface measurements for biogeochemical investigations, in particular, studies involving the carbon system. The original focus area was the North Atlantic Ocean, but over time the geographic extent expanded and CARINA now includes data from the entire Atlantic, the Arctic Ocean, and the Southern Ocean.

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CALIPSO Wide Field Camera Level 1A 1 km Native Science data

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This map layer shows lines of equal horizontal intensity of the Earth's magnetic field, derived from the International Geomagnetic Reference Field (IGRF) for the epoch 2010.0. Magnetic intensity is the strength of the magnetic field, and is described in terms of a horizontal component and a vertical component. Horizontal intensity is the horizontal strength of the magnetic field.

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Onemetersquare 1 meter x 1 meter benthic substrate at Jarvis Island, site 4P 0 22.810S, 160 00.094W, between 59 and 60 meters along a permanent transect.

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This Light Detection and Ranging (LiDAR) LAS dataset is a topographic survey conducted for a coalition of GIS practitioners, including the Florida Division of Emergency Management (FDEM), Florida Water Management Districts, Florida Fish and Wildlife Conservation Commission, Florida Department of Environmental Protection, Army Corps of Engineers Jacksonville District, and other state and federal agencies. The goal for this project is to use the LiDAR data as new elevation inputs for updated SLOSH data grids. The ultimate result is the update of the Regional Hurricane Evacuation Studies (RHES) for the state. The State of Florida Division of Emergency Management LiDAR Survey was collected under the guidance of a Professional Mapper/Surveyor. Data were collected for 185 square miles in the coastal (southern) part of Jefferson County, Florida from July 18 - 20, 2007. This is a classified lidar data set. The data are classified: 1 = Unclassified, 2 = Ground (Bare Earth), 7 = Noise and 9 = Water. The FDEM Baseline Specifications required a maximum post spacing of 4 feet, however, the PDS (Program and Data Solutions) team required a much higher point density of its subcontractors in order to increase the probability of penetrating dense foliage during the mandated summer acquisition; with nominal post spacing of 0.7 meters per flight line and 50% sidelap between flight lines, the average point density is 4 points per square meter.