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The GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) GCPEx dataset was collected from January 13, 2012 to February 29, 2012 at the CARE site in Ontario, Canada as a part of the GPM Cold-season Precipitation Experiment (GCPEx). The D3R is a fully polarimetric, scanning weather radar system operating at the nominal frequencies of 13.91 GHz and 35.56 GHz covering a maximum range of 30 km. The GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) GCPEx dataset is available in netCDF format. Browse images are also available in .png format.

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The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. 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 DFIRM Database is derived from 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). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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The NOAA/NASA Pathfinder climate data CD-ROM contains seven data sets: Advanced Very High Resolution Radiometer (AVHRR)Land and Ocean, TIROS Operational Vertical Sounder (TOVS) Paths A, C1, C2, Special Sensor Microwave/Imager (SSM/I) Precipitation and Atmospheric Moisture for the Benchmark Period of April 1987 to December 1988. These data sets can be viewed with a variety of applications including GeoVu, the NCEI multi-platform data browse and visualization software application, National Center for Supercomputing Applications (NCSA) Collage, IMDISP, Spyglass, and Idrisi.

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The National Corrections Reporting Program gathers data on prisoners entering and leaving the custody or supervision of state and federal authorities. The dataset is comprised of four types of data: prisoners who were admitted to prison (Part 1), released

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The U.S. Geological Survey (USGS) National Geospatial Program (NGP) developed the Alaska Mapping Initiative (AMI) to collaborate with the State and other Federal partners to acquire 3-dimensional elevation data to improve statewide topographic maps for Alaska. AMI coordinates Federal activities through the Alaska Mapping Executive Committee (AMEC) and State efforts through Alaska's Statewide Digital Mapping Initiative (SDMI) to ensure a unified approach for consistent data acquisition and enhancement of elevation data products. AMI attained interferometric synthetic aperture radar (IFSAR) to generate digital elevation model (DEM) data. This radar mapping technology is an effective tool for collecting data in challenging circumstances such as cloud cover, extreme weather conditions, rugged terrain, and remote locations. Airborne IFSAR data were flown over South Central Alaska in the summer of 2010 and over Northwest Alaska in 2012.

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For GBM, input is daily or trigger CSPEC or CTIME file from Fermi archive and corresponding response file from our archive. For LAT, input is daily spectrum file and corresponding response file, both from our archive.

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The Limited Data Set (LDS) is the same as our previous BEFs with the exception that the HIC is completely blank in the LDS.

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American woodcock related research at Moosehorn National Wildlife Refuge from March 29 to August 31, 1979. The woodcock project at the Moosehorn National Willdlife Refuge experiments with different management techniques to increase woodcock populations, which can then be implemented by private small woodlot owners as well as large scale forest management. Related research has been going on at the refuge for sixteen years; this report, compiled by the student banding crew, describes and discusses the 1979 field season.

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Variations in large-scale atmospheric forcing influence upwelling dynamics and ecosystem productivity in the California Current System (CCS). In this paper, we characterize interannual variability of the North Pacific High over 40 years and investigate how variation in its amplitude and position affect upwelling and biology. We develop a winter upwelling "pre-conditioning" index and demonstrate its utility to understanding biological processes. Variation in the winter NPH can be well described by its areal extent and maximum pressure, which in turn is predictive of winter upwelling. Our winter pre-conditioning index explained 64% of the variation in biological responses (fish and seabirds). Understanding characteristics of the NPH in winter is therefore critical to predicting biological responses in the CCS.

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The 2004 Academic Libraries Survey (ALS:2004) is a study that is part of the Academic Libraries Survey (ALS) program. ALS:2004 (http://nces.ed.gov/surveys/libraries/academic.asp) is a cross-sectional survey that summarize services, staff, collections, and expenditures of academic libraries in degree-granting postsecondary institutions in the 50 states and the District of Columbia. This study provides information pertinent to libraries at degree-granting postsecondary educational institutions.

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Annual data on coal mine production. Data organized by coal rank (lignite, anthracite, subbituminous, bituminous) and by mine type (surface, underground, refuse). Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

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Person level information about telephone and mobile wage reports.

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Researchers have long been able to analyze crime and law enforcement data at the individual agency level (see UNIFORM CRIME REPORTING PROGRAM DATA: [UNITED STATES] [ICPSR 9028]) and at the county level (see, for example, UNIFORM CRIME REPORTING PROGRAM DA

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The Wyoming statewide oil and gas wells feature class was developed to provide a historical perspective of drilling activity for the Wyoming Landscape Conservation Initiative (WLCI). These data originated from the Wyoming Oil and Gas Conservation Commission (WOGCC), were processed by the U.S. Geological Survey (USGS), and are now available as online resources in a geographic information system (GIS), a published map file (PMF), and a PowerPoint slideshow. All files created for this study can be downloaded from the USGS website shown above as the online linkage.

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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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National Center for Veterans and Analysis Statistics Population Maps are a compilation of facts related to the count of Veterans at multiple geographies.

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The National Ocean Service (NOS) maintains a long-term database containing water level measurements and derived tidal data for coastal waters of the United States and U.S. territories. These data allow for the determination and maintenance of vertical reference datums used for surveying and mapping, coastal construction, waterborne commerce, water level regulation, marine boundary determination, and tide prediction, and for the determination of long-term water level variations (e.g. trends). The data also supports other U.S. government programs, including the National Weather Service (NWS) Tsunami Warning System, the NWS storm surge monitoring programs, and the NOAA Climate and Global Change Program. The database contains an extended series of water level measurements recorded at different tide observation stations. These data are processed to generate a number of products, including monthly and yearly averages for mean tide level, mean sea level, diurnal tide level, mean high and low water, mean range, diurnal mean range, monthly extremes for high and low waters, and frequency and duration of inundations (the number of times and length of time at which the water level has equaled or exceeded a specific elevation for a period of analysis). Data are compiled for coastal waters of the United States, Puerto Rico, the Virgin Islands, and U.S. territories in the Pacific region. Water levels are monitored from a network of over 200 permanent, continuously operating tide observation stations and from numerous stations operated for short-term and long-term projects. Water level measurements are compiled for a variety of observation periods, depending upon the location. For some tide observation stations, records date back to the late 1800s. Observed water level values are compiled primarily at six minute increments. In addition, some stations provide real-time data for planning and emergency situations. The observed values are processed to generate mean and extreme values for different temporal intervals, as noted above. The data consist simply of elevations of water, in feet, observed at specific geographic locations and temporal periods. All water level measurements are referenced to staff '0' and can be referenced to other datums, such as the North American Vertical Datum of 1988 (NAVD 88). Recent data are recorded to the hundredth of a foot; data collected prior to the mid-1960s are recorded to the tenth of a foot. The foundation of the water level database is the National Water Level Observation Network (NWLON), a system of long-term operating tide stations maintained by NOS. Data also are obtained through short-term and long-term cooperative projects with other federal, state, and local agencies and governments to accomplish mutual goals in water level measurement. For example, tide stations are operated temporarily for marine boundary determination and hydrographic survey projects. NOS also maintains several cooperative stations with foreign governments for the Climate and Global Change Program. Indices of tide stations maintained by NOS are available which include for each station the latitude, longitude, dates of observations, bench mark sheet publication date, and tidal epoch. NOS also issues tidal bench mark sheets upon completion of a data collection series or as needed for long-term NWLON stations. Tidal bench mark sheets provide location descriptions and vertical elevations referenced to tidal datums of the station bench marks. A table of tidal datums and the 1929 NGVD, when available, are referenced to the station reference datum. A number of products are issued monthly and annually, for free or on a cost recovery basis. The products are distributed on either hard copy, floppy disk, CD, or over the web and include the following: o Tide Observation Station Lists o Tides, 6-Minute Heights o Tides, Hourly Heights of Tides, Times and Heights of High and Low Waters o Tides, Monthly Mean Summaries o Tidal Bench Mark Sheets with Tidal Datums o Frequency and Duration Analysis of Tidal Water Levels o Daily Mean Sea Level CO-OPS also provides a number of information services for which it charges a fee, based on a professional service rate of $30.00 per hour. The services include the following: o Computation of bench mark elevations and tidal datums. o Computation of the NAVD88 referenced to other tidal datums. o Computation of historical tidal datums. o Providing tidal zoning for hydrographic projects. o Preparing and reviewing certified documents for court use. o Retrieval of requested historical data sets not provided over the web. Water level data are also used to calculate inundation statistics. CO-OPS’ Inundation Analysis Tool can be used to determine the frequency (or the occurrence of high waters for different elevations above a specified threshold) and duration (or the amount of time that the specified location is inundated by water) of observed high waters (tides). Statistical output from these analyses can be useful in planning marsh restoration activities. Additionally, the analyses have broader applications for the coastal engineering and mapping community, such as, ecosystem management and regional climate change. Since these statistical outputs are station specific, use for evaluating surrounding areas may be limited. The inundation analysis tool provides summary statistics, which includes the number of occurrences of inundation above the threshold (events) and length of duration of inundation of each events above the threshold elevation for a specified time period. In addition to summary statistics, graphical outputs are provided using various plots.

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The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. 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 DFIRM Database is derived from 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). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12000.

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This dataset provides monthly volumes at the national level from federal fiscal year 2008 onwards for Internet Direct Deposit applications. The dataset includes only Internet Direct Deposit transactions. It should be noted that, in addition to using our online Direct Deposit application, the public might also call our 800 number, visit a field office, or request a change of direct deposit by mail. This data set pertains only to the online alternative.

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Lake Lowell is located on Deer Flat National Wildlife Refuge Refuge in Southwest Idaho, in Canyon County. Inflows to the reservoir are a combination of diverted Boise River water and irrigation return flows. Several matrices were evaluated for contamination, including sediment, invertebrates, fish, bullfrogs, bird eggs, and bald eagle feathers. Sediment sampling sites were located around the mouth of the New York Canal, which is the primary water supply for Lake Lowell. Chemical analyses included scans for trace elements and organochlorine pesticides OCs. Bird observations indicated consistent nesting chronology from 2001 through 2003 for bald eagles, osprey, and great blue herons. There were two occupied bald eagle nests and one osprey nest on the Refuge each year during our study. Young were successfully fledged from both eagle nests in 2001. Both eagle nests failed in 2002 and 2003. Young were successfully fledged from the osprey nest and the heron colony each year of our study. Concentrations of inorganic contaminants were generally low in sediment from the Refuge. Boron was the only constituent above background or threshold concentrations cited in the literature, although concentrations were below levels associated with adverse impacts to fish and wildlife. Concentrations of mercury were low in invertebrates and fish, and elevated in some bird eggs. Selenium concentrations in fish species were below the 4 micrograms per gram 1tgg general toxic effects threshold for whole body fish samples, but concentrations exceeded levels associated with mortality in some sensitive species of fish. With the exception of DDE, concentrations of OCs in sediment, fish, and invertebrates did not appear to be at levels harmful to aquatic resources. We made five primary management recommendations based on this study. First, we recommended reviewing the potential mercury sources for Lake Lowell to determine whether inputs are historical or current, and then reducing current inputs where feasible. Second, we recommended additional sampling of mercury concentrations in bald eagles to clarify whether current body burdens were contributing to reproductive impairment. Third, we recommended continued monitoring of the nest success of bald eagles and grebes given their repeated nest failures during this study. Fourth, we provided tissue recommendations for additional testing of selenium concentrations in fish because concentrations appear to be near adverse effects thresholds in sensitive species. Finally, we recommended that managers consider collecting additional information on the likely nature of PCBs present on the refuge, and on the route of exposure for waterbirds.

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This dataset is located between the islands of Maui, Lanai, Molokai and Kahoolawe, and includes the Au'au Channel as well as parts of the Kealaikahiki, Alalakeiki and Kalohi Channels. This map denotes predicted habitat suitability for all mesophotic corals in the Au'au Channel region. Maximum Entropy (MaxEnt) modeling software was used to create this ensemble model, which is an average of 10 model replicates. MaxEnt works by analyzing the distribution of environmental variables where species are present, so it can find other areas that meet all of the same environmental constraints. Georeferenced records containing information about mesophotic coral occurrence and environmental predictors describing the seafloors depth, vertical structure, available light, surface temperature, currents and distance from shoreline were used to train MaxEnt. Model performance and accuracy were assessed using Receiver Operating Characteristic (ROC) Area Under the Curve (AUC) and a randomly chosen, spatially independent data subset. The average test AUC for this predictive ensemble model was 0.9, and the overall accuracy of this ensemble predictive model was 73.1% (when the habitat suitability threshold = 0.25). The habitat suitability threshold of 0.25 represents the sum of the maximum ROC sensitivity and specificity values. Extreme care should be taken when selecting a habitat suitability threshold because it affects the probability of correctly identifying the presence and absence of mesophotic corals. For more information describing how this predictive surface was developed and its limitations, please see the following website: http://ccma.nos.noaa.gov/ecosystems/sanctuaries/hwnms/

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The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. 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 DFIRM Database is derived from 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). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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The National Weather Service (NWS) National Hurricane Center uses regularly updated RSS feeds to disseminate latest advisories and graphics for a current storm in the North Atlantic, Caribbean Sea, and Gulf of Mexcio.