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Hourly observations taken by U.S. Air Force personnel at bases in the United States and around the world. Foreign observations concentrated in the Middle East and Japan. Stations assigned WBAN numbers. Original forms sent from the Air Force to NCDC by agreement and stored in the NCDC archives.

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Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains five-minute precipitation data collected throughout 2003 at various rain gauge sites in the Little River (LR) micronet located in Georgia, USA. Data were collected for the Soil Moisture Experiment 2003 (SMEX03) by researchers at the Southeast Watershed Research Laboratory (SEWRL) using Vitel rain gauges. The volume of the data set is approximately 1.4 megabytes. Data are in ASCII text format and are available via FTP. These data were collected as part of a validation study for the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E). AMSR-E is a mission instrument launched aboard NASA's Aqua Satellite on 04 May 2002. AMSR-E validation studies linked to SMEX are designed to evaluate the accuracy of AMSR-E soil moisture data. Specific validation objectives include assessing and refining soil moisture algorithm performance; verifying soil moisture estimation accuracy; investigating the effects of vegetation, surface temperature, topography, and soil texture on soil moisture accuracy; and determining the regions that are useful for AMSR-E soil moisture measurements.

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Drifting buoy and other data was collected from the Beaufort Sea by the University of Washington (UW) as part of the Outer Continental Shelf Environmental Assessment Program (OCSEAP). Data were collected from 05 November 1975 to 01 October 1976. Data were processed by NODC to the NODC standard F156 Drifting Buoy Data format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/f156.html. An analog file for this accession is available from NODC user service. The F156 format is used for time series data on ocean circulation determined by the tracking of drifting buoys, drogues, or other instrumented devices as they are carried with the flow. Movement is reported as point-to-point geographic locations determined by shore-based, surface ship, aircraft, or satellite observations. Data from both ocean currents and ice movement can be reported in this format over time periods ranging from minutes to months. Directions and speeds between individual observations may be computed from these data and presented in graphic or summary listing form to provide information on circulation patterns and mass transport in offshore and near- shore regions. Platform name (for platform acquiring data or deploying device), drogue characteristics, start and end positions and times, and observation frequency (if constant time interval) are reported for each series of observation. Other surface meteorological or oceanographic parameters (e.g., water temperature and salinity, air temperature and pressure, wind, waves) and subsurface data (depth, pressure, temperature) may also be reported. Text records may be used to report general comments or to describe individual drogue observations.

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The Laboratory of Molecular Biology brings together scientists with a broad range of expertise in biological structure and function. In this environment, geneticists, biochemists, and developmental biologists interact with physical chemists and structural biologists to address problems of mutual interest.

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This narrative report for Montana Easements outlines Refuge accomplishments from January through April of 1945. The report begins by summarizing the weather conditions, water conditions, and food and cover during this period. Wildlife including migratory birds, big game animals, furbearers, predators, rodents, raptors, and fish is also covered. The Refuge development and maintenance section discusses physical developments. NR forms are attached.

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A compilation of historic documents and articles on the Interstate System, Federal-Aid Highway Program, FHWA, and transportation.

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The National Household Education Survey, 2003 Adult Education for Work-Related Seasons (AEWR-NHES:2003) is a study that is part of the National Household Education Survey (NHES) program. AEWR-NHES:2003 (http://nces.ed.gov/nhes/) is a cross-sectional survey that collects data directly from households on educational issues. This study was conducted using an address based sample of self-administered questionnaires of households. Households in 2003 were sampled. The study�s response rate was 64.7 percent. Key statistics produced from AEWR-NHES:2003 are participation in adult and continuing education.

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Terrain data, as defined in FEMA Guidelines and Specifications, Appendix N: Data Capture Standards, describes the digital topographic data that was used to create the elevation data representing the terrain environment of a watershed and/or floodplain. Terrain data requirements allow for flexibility in the types of information provided as sources used to produce final terrain deliverables. Once this type of data is provided, FEMA will be able to account for the origins of the flood study elevation data. (Source: FEMA Guidelines and Specifications, Appendix N, Section N.1.2).

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This map layer portrays the coastline of the United States, Puerto Rico, and the U.S. Virgin Islands. The United States shoreline of the Great Lakes is also included. This is a revised version of the July 2012 map layer.

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Ship position data from a satellite-based Automatic Identification System (AIS) were obtained jointly by PacIOOS (J. Potemra), SOEST/ORE of the University of Hawaii (E. Roth), and the Papahanaumokuakea Marine National Monument (PNMN) (D. Graham) through a one-time purchase from ORBCOMM LLC. The purchase agreement was made in late 2012 and was for a 30-by-30 degree section of historical AIS data that included the region of the Hawaiian Islands. The data include AIS long and unchecked reports for a one year period: August 2011 through mid-August 2012. The raw, monthly GPS files were locally converted to NetCDF for the PacIOOS data servers. Due to vendor constraints, release of the raw data is limited.

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These data were collected under a cooperative agreement between the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHCMSC). Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of seafloor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters of coastal Massachusetts, primarily in water depths of 2-30 meters. Data collected for the mapping cooperative have been released in a series of USGS Open-File Reports (). The data collected in this study area located around the western extent of the Elizabeth Islands includes high resolution bathymetry, acoustic-backscatter intensity, seismic-reflection, and navigation data. These data were collected during a nearshore cruise in September 2010 onboard the R/V Rafael using the following equipment: an SEA Ltd SwathPlus interferometric sonar (234 kHz), Klein 3000 dual frequency sidescan sonar, an Edgetech 424 chirp subbottom profiling system, and 4 GPS antennae. More information about the cruise conducted as part of the project: Geologic Mapping of the Seafloor Offshore of Massachusetts can be found on the Woods Hole Coastal and Marine Science Center Field Activity webpage:

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The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. 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 Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information 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).

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Plasma Controls will manufacture and test a set of ion optics for electric propulsion ion thrusters using additive manufacturing technology, also known as 3D printing. Additive manufacturing can potentially produce optics with novel or complex geometry that have better performance compared to those made traditionally, while also giving cost and mass savings.

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This geodatabase includes spatial datasets that represent the Cambrian-Ordovician aquifer system in the States of Wisconsin, Michigan, Minnesota, Iowa, and Illinois. Included are: (1) a polygon dataset that represents the aquifer system extent, (2) raster datasets for the altitude of each aquifer subunit, (3) altitude, or if applicable, thickness contours used to generate the surface rasters, (4) georeferenced images of the figures that were digitized to create the altitude or thickness contours, (5) the line datasets representing the altitude contours that were digitized from the images, and (6) an ArcGIS Toolbox used to develop the surface raster datasets. The images and digitized contours are supplied for reference. The extent of the Cambrian-Ordovician aquifer system is from the linework of the Cambrian-Ordovician aquifer system extent maps in U.S. Geological Survey Professional Paper 1405-B (PP1405B), and a digital version of the aquifer extent presented in the Groundwater Atlas of the United States (the U.S. Geological Survey Hydrologic Atlas 730-J, (USGS HA 730-J) and 730-K (USGS HA 730-K)), available at http://water.usgs.gov/ogw/NatlAqCode-reflist.html . The Cambrian-Ordovician Aquifer System has four aquifer subunits, in order from the most surficial to the deepest: (A1) St. Peter Sandstone Aquifer, (A2) Prairie du Chien Aquifer, (A3) Ironton and Galesville Sandstone Aquifer, and (A4) Mt. Simon or Lamotte Sandstone Aquifer. The altitude contour line datasets for each subunit available were digitized from georeferenced figures of altitude contours in PP1405B, and the altitude values were interpolated into surface rasters within a GIS using tools that create hydrologically correct surfaces from contour data, derives the altitude from the thickness (depth from the land surface), and merges the subareas into a single surface. The primary tool was "Topo to Raster" used in ArcGIS, ArcMap, Esri 2014. (ArcGIS Desktop: Release 10.2 Redlands, CA: Environmental Systems Research Institute). The surface rasters were corrected for the areas where the altitude of the top of the aquifer exceeded the land surface, and where the bottom of an aquifer exceeded the altitude of the corrected top of the aquifer.

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This project will achieve a wrist-worn actigraphy device called STARwatch, designed specifically for space exploration environments. It will provide a minimally obtrusive, objective measure that evaluates astronaut sleep-wake activity and light exposure. This project will leverage our second generation actigraphy device that has already been validated in controlled laboratory experiments against gold-standard polysomnography. The compact wrist-worn device includes sensors to collect sleep metrics and will also serve as a wireless hub to collect real-time physiological data from other body-worn sensors (e.g., heart rate, EEG). It will use standardized wireless communication protocols (e.g., Bluetooth) to automatically uplink data to the ISS network (no astronaut time required). Data will automatically be integrated into medical operations support systems (e.g., BHP-Dashboard) to provide immediate feedback to astronauts and flight surgeons to aid in decision-making relative to astronaut medical, behavioral health and performance issues. During Phase I, we will develop an enhanced STARwatch, integrate data from other body worn sensors (e.g., heart rate sensor), demonstrate automatic data streaming using approaches compatible with the ISS network environment, and develop a plan for operational validation and spaceflight certification that will be implemented during Phase II (Phase I TRL of 4-5).

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In 1999, the U.S. Geological Survey (USGS), in partnership with the South Carolina Sea Grant Consortium, began a study to investigate processes affecting shoreline change along the northern coast of South Carolina, focusing on the Grand Strand region. Previous work along the U.S. Atlantic coast shows that the structure and composition of older geologic strata located seaward of the coast heavily influences the coastal behavior of areas with limited sediment supply, such as the Grand Strand. By defining this geologic framework and identifying the transport pathways and sinks of sediment, geoscientists are developing conceptual models of the present-day physical processes shaping the South Carolina coast. The primary objectives of this research effort are: 1) to provide a regional synthesis of the shallow geologic framework underlying the coastal upland, shoreface and inner continental shelf, and define its role in coastal evolution and modern beach behavior; 2) to identify and model the physical processes affecting coastal ocean circulation and sediment transport, and to define their role in shaping the modern shoreline; and 3) to identify sediment sources and transport pathways; leading to construction of a regional sediment budget.

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The US DOT through the Office of Aviation Analysis issues the Consumer Air Fare Report on a quarterly basis, which provides information about average prices being paid by consumers in the top 1,000 domestic city-pair markets in the continental United States. The source data is the US DOT Origin and Destination Survey.

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This data set contains the number of days of snow cover in days per year, and three 10-day snow depth means per month in centimeters from stations across Estonia. The days of snow cover data extend from 1891 through 1994, while the snow depth means extend from 1891 through 1990. Some stations for some years have two data entries, one for a protected collection area, and one for an exposed collection area. Jaak Jaagus of the University of Tartu in Estonia contributed these data to the National Snow and Ice Data Center. Data are available via ftp.

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Reports contains summarized yearly harvest of game species on Coldwater River, Dahomey, and Tallahatchie NWRs and the total hunter effort based on daily use cards submitted by hunter from fall 2001 thorugh spring 2014.

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Press kit for ISS mission Expedition 18 from 10/2008-04/2009. Press kits contain information about each mission overview, crew, mission timeline, benefits, and media contact information.

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The purpose of this report is to create a baseline inventory of all nonmotorized trails on St. Croix Wetland Management District. Trails in this inventory are eligible for funding under the Refuge Roads Program SAFETEALU. The report describes all the attributes e.g., location, surface type, condition, distance of trails in the FWS asset inventory.

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This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and(or) desethyl-atrazine (atrazine/DEA) are differentiated by whether or not they incorporated atrazine use and whether or not they incorporated hydrogeomorphic regions. The four datasets that predict the probability of elevated concentrations of nitrate are differentiated by whether or not they incorporated fertilizer use and whether or not they incorporated hydrogeomorphic regions. Each of the eight datasets has its own unique strengths and weaknesses. The user is cautioned to read Rupert (2003, Probability of detecting atrazine/desethyl-atrazine and elevated concentrations of nitrate in ground water in Colorado: U.S. Geological Survey Water-Resources Investigations Report 02-4269, 35 p., http://water.usgs.gov/pubs/wri/wri02-4269/) to determine if he(she) is using the most appropriate dataset for his(her) particular needs. This dataset specifically predicts the probability of detecting atrazine/DEA in ground water in Colorado with hydrogeomorphic regions included and atrazine use estimates not included. The following text was extracted from Rupert (2003). Draft Federal regulations may require that each State develop a State Pesticide Management Plan for the herbicides atrazine, alachlor, metolachlor, and simazine. Maps were developed that the State of Colorado could use to predict the probability of detecting atrazine/DEA in ground water in Colorado. These maps can be incorporated into the State Pesticide Management Plan and can help provide a sound hydrogeologic basis for atrazine management in Colorado. Maps showing the probability of detecting elevated nitrite plus nitrate as nitrogen (nitrate) concentrations in ground water in Colorado also were developed because nitrate is a contaminant of concern in many areas of Colorado. Maps showing the probability of detecting atrazine/DEA at or greater than concentrations of 0.1 microgram per liter and nitrate concentrations in ground water greater than 5 milligrams per liter were developed as follows: (1) Ground-water quality data were overlaid with anthropogenic and hydrogeologic data by using a geographic information system (GIS) to produce a dataset in which each well had corresponding data on atrazine use, fertilizer use, geology, hydrogeomorphic regions, land cover, precipitation, soils, and well construction. These data then were downloaded to a statistical software package for analysis by logistic regression. (2) Relations were observed between ground-water quality and the percentage of land-cover categories within circular regions (buffers) around wells. Several buffer sizes were evaluated; the buffer size that provided the strongest relation was selected for use in the logistic regression models. (3) Relations between concentrations of atrazine/DEA and nitrate in ground water and atrazine use, fertilizer use, geology, hydrogeomorphic regions, land cover, precipitation, soils, and well-construction data were evaluated, and several preliminary multivariate models with various combinations of independent variables were constructed. (4) The multivariate models that best predicted the presence of atrazine/DEA and elevated concentrations of nitrate in ground water were selected. (5) The accuracy of the multivariate models was confirmed by validating the models with an independent set of ground-water quality data. (6) The multivariate models were entered into a geographic information system and the probability GRIDS were constructed.

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This coverage includes lines that describe faults and tectonic contacts of the Bangladesh.

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The Electronic Animal Drug Product Listing Directory is a directory of all animal drug products that have been listed electronically since June 1, 2009, to comply with changes enacted as part of the FDA Amendments Act of 2007.

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This shapefile represents seasonal summer average sea surface temperature recordings. The sea surface temperature is the temperature of the warm water source used by an OTEC plant. This is defined to be near the sea surface at a depth of 20 m, the approximate depth of a warm water intake pipe. Data were processed and converted to shapefile format by NREL for the [Ocean Thermal Extractable Energy Visualization](http://www.osti.gov/bridge/purl.cover.jsp?purl=/1055457/1055457.pdf) ### License Info This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data. Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data. THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA. The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.