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Data are provided by the Department of Health and Mental Hygiene. This dataset shows the number of statewide accidental overdose deaths, impaired motor vehicle crashes, and enrollment in state-sponsored substance abuse treatment programs.

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CVS contains information on security clearances, investigations, suitability, fitness determinations, Homeland Security Presidential Directive 12 (HSPD-12) decisions, Personal Identification Verification (PIV) credentials, and polygraph data.

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The Educational Technology in Public School Districts, 2008 (FRSS 93) is a study that is part of the Fast Response Survey System (FRSS) program; program data is available since 1998-99 at . FRSS 93 (http://nces.ed.gov/surveys/frss/) is a sample survey that provides national estimates on the availability and use of educational technology in public school districts during Fall 2008. This is one of a set of three surveys (at the district, school, and teacher levels) that collected data on a range of educational technology resources. The study was conducted by having school superintendents fill out surveys via the web or by mail. Public school districts were sampled. The study's weighted response rate was 90 percent. Key statistics produced from FRSS 93 were information on networks and internet capacity, technology policies, district-provided resources, teacher professional development, and district-level leadership for technology. Respondents reported the number of schools in the district with a local area network and the number of schools with each type of district network connection. The survey collected information on written district policies on acceptable student use of various technologies. Other survey topics included employment of staff responsible for educational technology leadership and the type of teacher professional development offered or required by districts for educational technology. Respondents gave their opinions on statements related to the use of educational technology in the instructional programs in their districts.

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Occupational Health Record-keeping System (OHRS) is part of the Clinical Information Support System (CISS) portal framework and the initial CISS partner system. OHRS is a web-based application that enables employee occupational health staff to create, maintain, and monitor medical records for VA employees and generate national, Veterans Integrated Service Network (VISN), and site-specific reports.The focus of OHRS is to collect clinical data for wellness, medical surveillance, and appropriate treatment of work-based injury or illness. OHRS will capture and store information on patient encounters, such as encounter type, purpose, status, provider, and other pertinent clinical data obtained during the patient visit. Users with appropriate security privileges are allowed to add and sign or co-sign the encounter and, if needed, perform scheduled and unscheduled reporting on items such as vaccination rates, vaccination and immunity statuses. The OHRS application does not share patient-specific data, but will collect data elements limited to information deemed critical to the Occupational Health delivery of care processes in the OHRS database. Employee data is obtained from the central Personnel and Accounting Integrated Data System (PAID) while volunteer information is obtained from the Voluntary Service System (VSS). Other Non-Paid and non-VSS data is collected by direct data entry into OHRS at the time of the patient encounter. OHRS is further designed to document, track and report immunizations administered to other Federal Agency employees outside of VA.

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This dataset contains annual data on collections received and distributed by State agencies administering the Child Support Enforcement program under title IV-D of the Social Security Act.

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Series that provides national economic data for Manufacturing, Mining, Trade, and Selected Service Corporations. The QFR data are widely used by government agencies, domestic and foreign businesses, financial analysts, researchers, trade associations, and banking institutions. Uses include assessing industrial debt structure, liquidity, and profitability; estimating corporate tax liability; designing economic policies and drafting legislation; making investment evaluations; and studying economic trends.

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The TSI is a monthly measure of the volume of services performed by the for-hire transportation sector. The index covers the activities of for-hire freight carriers, for-hire passenger carriers, and a combination of the two. The TSI is still under development and is being examined for refinements in data sources, methodologies, and interpretations.

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This Climate Data Record (CDR) contains the daily mean Outgoing Longwave Radiation (OLR) time series in global 1 degree x 1 degree equal-angle gridded maps spanning from January 1, 1979 to December 31, 2013, and continuing daily with a two-day lag. The OLR is estimated directly from the HIRS radiance observations for all sky conditions. The observations from imagers onboard international operational geostationary satellites are incorporated to improve the sampling of the OLR diurnal variation. The Daily OLR CDR is at its initial version 1.2. The data file format is netCDF-4 with CF metadata, and it is accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.

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Exports from Manufacturing Establishments includes estimates for the value of manufactured exports and related employment. Export estimates include both "direct" exports (exports manufactured in the United States and consumed in foreign markets) and supporting shipments (intermediate goods and services required to manufacture exported goods). The report includes estimates for state and national totals for direct exports, supporting shipments and related employment for the manufacturing sector. In addition, supporting employment outside the manufacturing sector associated with manufactured exports is provided.

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Labor force and unemployment estimates for States and local areas are developed by State employment security agencies to measure local labor market conditions under a Federal-State cooperative program. The Department of Labor develops the concepts, definitions and technicalprocedures which are used by State agencies for the preparation of labor force and unemployment estimates. These estimates are derived from a variety of sources including unemployment insurance claims and ratios reflecting historical relationships between covered unemployment and covered employment, and between entrants into the labor force and the experienced unemployed and experienced labor force.

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A catalog of new nuclear power plant applications that the NRC expects to receive during each calendar year. This catalog shows the applicant's name, project or docket number, reactor design type, dates on which the NRC received and accepted the applicati

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The primary objective of algorithm 3A25 is to compute various rainfall statistics over a month from the level 2 PR products. The statistics are derived at two spatial resolutions: (1) a standard space scale of 5 degrees by 5 degrees (latitude x longitude) cells and (2) a high resolution subset of 0.5 degree x 0.5 degree cells. The output variables include rainfall rate (mm/hour) profile at 2, 4, 6, 10, and 15 km, fractional rain, snow ice layer, and surface rain rate (mm/hour). The output statistics include probabilities of occurrence, means and standard deviations, histograms, and correlation coefficients. All statistics in 3A-25, except near-surface rain rate, are computed only when rain is judged in 1C-21 to be "certain." When rain is judged in 1C-21 to be "possible," the observation is treated as a "no-rain" observation. For the near-surface rain rate, the statistics (mean, standard deviation, and histogram) are computed for "rain-possible" as for the usual "rain-certain." Because the "rain-possible" cases are dominated by noise so that the probability of false-alarm is high, the "rain-certain" statistics should be considered as more representative of the TRMM radar data. Three types of rain rates are defined in 3A-25: (1) a "near-surface" rain rate that is obtained from the range bin closest to the surface which is not corrupted by the surface clutter, (2) a path-averaged rain rate calculated by summing the values from the storm top (first gate where rain is detected) to the last gate (gate nearest to the surface uncontaminated by surface clutter) and dividing by the number of gates in the interval, and (3) those at fixed heights above the ellipsoid (2, 4, 6, 10, and 15 km). Spatial coverage is between 40 degrees North and 40 degrees South, owing to the 35 degree inclination of the TRMM satellite. The data are stored in the Hierarchical Data Format (HDF). The low resolution grids are in the Planetary Grid 1 structure, and the high resolution grids are in the Planetary Grid 2 structure. The file size (one file per month) is about 16 MB (uncompressed). The description of file component objects can be obtained from Volume 4 - Levels 2 and 3 File Specifications provided by the TRMM Science Data and Information System (TSDIS): "http://pps.gsfc.nasa.gov/". The Tropical Rainfall Measuring Mission (TRMM) is a joint U.S.-Japan satellite mission to monitor tropical and subtropical precipitation and to estimate its associated latent heating. TRMM was successfully launched on November 27, at 4:27 PM (EST) from the Tanegashima Space Center in Japan. The TRMM Precipitation Radar (PR), the first of its kind in space, is an electronically scanning radar, operating at 13.8 GHz that measures the 3-D rainfall distribution over both land and ocean, and defines the layer depth of the precipitation.

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A Difficult Development Area (DDA) for the Low Income Housing Tax Credit program is an area designated by the U.S. Department of Housing and Urban Development (HUD) with high construction, land, and utility costs relative to its Area Median Gross Income (AMGI). All designated DDAs in Metropolitan Statistical Areas (MSA) or Primary Metropolitan Statistical Areas (PMSA) may not contain more than 20% of the aggregate population of all MSAs/PMSAs, and all designated areas not in metropolitan areas may not contain more than 20% of the aggregate population of the non-metropolitan counties.

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Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives. Data include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Each data type is stored in a separate data file; the data type is coded into the file name. For details please visit: http://www.ncdc.noaa.gov/paleo/treering.html

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A list of a variety of averages for each state or territory as well as the national average, including each quality measure, staffing, fine amount and number of deficiencies. Each row displays a specific state or territory, the associated measure and average.

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The agricultural baseline database provides longrun, 10-year projections from USDA's annual long-term projections report. The database covers projections for major field crops (corn, sorghum, barley, oats, wheat, rice, soybeans, and upland cotton), and livestock (beef, pork, poultry and eggs, and dairy).

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To provide the public with a geographic interface into Envirofacts data. Envirofacts includes information from a variety of EPA programs, including air, water, superfund, hazardous waste.

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The Standard Occupational Classification (SOC) system is used by Federal statistical agencies to classify workers into occupational categories for the purpose of collecting, calculating, or disseminating data. All workers are classified into one of over 820 occupations according to their occupational definition.

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USCRN "Processed" Data (labeled as "uscrn-processed"): are interpreted values and derived geophysical parameters with other quality indicators processed from raw data (both Datalogger files and/or Raw Data from GOES and NOAAPort) by the USCRN Team. Climate variable types include air temperature, precipitation, soil moisture, soil temperature, surface temperature, wetness, global solar radiation, relative humidity, and wind at 1.5 m above the ground. Many additional engineering variables are also available. These data have been decoded, quality-flagged, and processed into level 1 hourly data (the only applied quality control is rounding some values as they enter the database), and includes additional calculated values such as precipitation (5-minute and hourly), hourly maximum temperature, hourly minimum temperature, average temperature (5-minute and hourly), soil moisture (volumetric water content, 5-minute values at the 5 cm depth and and hourly values at all depths) for all dielectric values in range, layer average soil moisture (5 minute and hourly), and layer average soil temperature (5 minute and hourly). It is the general practice of USCRN to not calculate derived variables if the input data to these calculations are flagged. These data records are versioned based on the processing methods and algorithms used for the derivations (versions are noted within the data netCDF file), and data are updated when the higher quality raw data become available from stations' datalogger storage (Datalogger Files).

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The Digital Geologic Map of Glacier National Park, Montana is comprised of GIS data layers, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, GIS data layer and table FGDC metadata and ArcView 3.X legend (.AVL) files. The data were completed as a component of the Geologic Resources Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). All GIS and ancillary tables were produced as per the NPS GIS-Geology Coverage/Shapefile Data Model (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.htm). The GIS data is available as coverage and table export (.E00) files, and as a shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 12N. That data is within the area of interest of Glacier National Park.

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This table contains data on the percent of population aged 16 years or older whose commute to work is 10 or more minutes/day by walking or biking for California, its regions, counties, and cities/towns. Data is from the U.S. Census Bureau, American Community Survey, and from the U.S. Department of Transportation, Federal Highway Administration, and National Household Travel Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity (http://www.cdph.ca.gov/programs/Pages/HealthyCommunityIndicators.aspx). Active modes of transport, bicycling and walking alone and in combination with public transit, offer opportunities to incorporate physical activity into the daily routine. Physical activity is associated with lowering rates of heart disease and stroke, diabetes, colon and breast cancer, dementia and depression. Automobile commuting is associated with health hazards, such as air pollution, motor vehicle crashes, pedestrian injuries and fatalities, and sedentary lifestyles. Consequently the transition from automobile-focused transport to public and active transport offers environmental health benefits, including reductions in air pollution, greenhouse gases and noise pollution, and may lead to greater overall safety in transportation. More information about the data table and a data dictionary can be found in the About/Attachments section.

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This spreadsheet contains a list of multiemployer plans receiving financial assistance payments from the Pension Benefits Guaranty Corporation from the period 2005 through 2009

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This dataset is the digital hydrologic unit boundary layer for the 8-digit subwatershed boundaries for the conterminous United States. This dataset is intended to be used with the following two tabular dBase files: http://water.usgs.gov/lookup/getspatial?ds573_tillage_lu92e and http://water.usgs.gov/lookup/getspatial?ds573_tillage_lu01. The two tabular datasets contain the Tillage Practices in the Conterminous United States, 1989-2004---Datasets Aggregated by Watershed. This dataset and the two tabular datasets can be linked using the common attribute HUC8_N. Information about how the tabular data and geospatial data can be related are given in the data series report: http://pubs.usgs.gov/ds/ds573/ .The original dataset is the 12-digit Subwatershed boundaries (WBD_archive_17nov2009_9.2_file). The 12-digit boundaries were dissolved to 8-digit boundaries to be used with the two tabular .dbase data files containing the tillage practice data for the United States. ORIGINAL METADATA: This data set is a complete digital hydrologic unit boundary layer to the Subwatershed (12-digit) 6th level for the entire United States. This data set consists of geo-referenced digital data and associated attributes created in accordance with the "Federal Guidelines, Requirements, and Procedures for the National Watershed Boundary Dataset; Chapter 3 of Section A, Federal Standards, Book 11, Collection and Delineation of Spatial Data; Techniques and Methods 11-A3" (04/01/2009). http://www.ncgc.nrcs.usda.gov/products/datasets/watershed/index.html . Polygons are attributed with hydrologic unit codes for 4th level sub-basins, 5th level watersheds, 6th level subwatersheds, name, size, downstream hydrologic unit, type of watershed, non-contributing areas and flow modification.

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This dataset replaces the previous Time Bias Corrected Divisional Temperature-Precipitation Drought Index. The new divisional data set (nCLIMDIV) is based on the Global Historical Climatological Network-Daily (GHCN-D) and makes use of several improvements to the previous data set. For the input data, improvements include additional station networks, quality assurance reviews and temperature bias adjustments. Perhaps the most extensive improvement is to the computational approach, which now employs climatologically aided interpolation. This 5km grid based calculation nCLIMGRID helps to address topographic and network variability. This data set is primarily used by the National Oceanic and Atmospheric Administration (NOAA) National Climatic Data Center (NCDC) to issue State of the Climate Reports on a monthly basis. These reports summarize recent temperature and precipitation conditions and long-term trends at a variety of spatial scales, the smallest being the climate division level. Data at the climate division level are aggregated to compute statewide, regional and national snapshots of climate conditions. For CONUS, the period of record is from 1895-present. Derived quantities such as Standardized precipitation Index (SPI), Palmer Drought Indices (PDSI, PHDI, PMDI, and ZNDX) and degree days are also available for the CONUS sites. In March 2015, data for thirteen Alaskan climate divisions were added to the nCLIMDIV data set. Data for the new Alaskan climate divisions begin in 1925 through the present and are included in all nCLIMDIV monthly updates. Alaskan climate data include the following elements for divisional and statewide coverage: average temperature, maximum temperature (highs), minimum temperature (lows), and precipitation. The Alaska nCLIMDIV data were created and updated using similar methodology as that for the CONUS, but with a different approach to establishing the underlying climatology. The Alaska data are built upon the 1971-2000 PRISM averages whereas the CONUS values utilize a base climatology derived from the nCLIMGRID data set.

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As of June 28, 2010, the Master Veteran Index (MVI) database based on the enhanced Master Patient Index (MPI) is the authoritative identity service within the VA, establishing, maintaining and synchronizing identities for VA clients, Veterans and beneficiaries. The MVI includes authoritative sources for health identity data and contains over 17 million patient entries populated from all VHA facilities nationwide. The MVI provides the access point mechanism for linking patient's information to enable an enterprise-wide view of patient information, uniquely identifies all active patients who have been admitted, treated, or registered in any VHA facility, and assigns a unique identifier to the patient. The MVI correlates a patient's identity across the enterprise, including all VistA systems and external systems, such as Department of Defense (DoD) and the Nationwide Health Information Network (NwHIN). The MVI facilitates the sharing of health information, resulting in coordinated and integrated health care for Veterans. New Information Technology systems must be interoperable with the MVI and legacy systems will establish integration by October 1, 2012. The Healthcare Identity Management (HC IdM) Team within VHA's Data Quality Program is the steward of patient identity data, performing maintenance and support activities.