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The 2004 School Survey on Crime and Safety (SSOCS:2004) is a study that is part of the School Survey on Crime and Safety program. SSOCS:2004 (http://nces.ed.gov/surveys/ssocs/) is a cross-sectional survey of the nation's public schools designed to provide estimates of school crime, discipline, disorder, programs and policies. SSOCS is administered to public primary, middle, high, and combined school principals in the spring of even-numbered school years. The study was conducted using a questionnaire and telephone follow-ups of school principals. Public schools were sampled in the spring of 2004 to participate in the study. The study�s response rate was 74 percent. A number of key statistics on a variety of topics can be produced with SSOCS data.

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The U.S. Climate Reference Network is designed specifically to monitor national climate change with best scientific practice and adherence to the accepted principles of climate observations. The Climate Reference Network provides several visualizations of data collected from its stations, including novel visualizations of soil moisture and time series graphs of many CRN climate observations.

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The General Land Office Records System (GLO) encompasses the automation and retrieval of eastern and western land title information images which includes patent images, survey plats, fields notes and master title plats. The GLO provides the public a means to perform searches for land patents by name. In addition, the GLO is a preservation process for the aging land documents. The GLO provides a web-based access for query, image viewing and e-commerce of the Federal Land Records

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The dataset provides basic information about the local service providers under contract with the Department of Community Services and Development to provide services to low-income households in California. The information is based on a point in time and is expected to be updated semi-annually. The data were retrieved from the Provider Services Directory located on the California Department of Community Services and Development's website. The variables in the dataset include provider name, contact information, service area and type of service. For a comprehensive list of service descriptions, hours, eligibility requirements, etc. visit CSD's website. http://www.csd.ca.gov/Services/FindServicesinYourArea.aspx.

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A geographic information system focusing on the Cretaceous Travis Peak and Hosston Formations was developed for the U.S. Geological Survey's (USGS) 2002 assessment of undiscovered, technically recoverable oil and natural gas resources in the Gulf Coast Region. The USGS Energy Resources Science Center has developed map and metadata services to deliver the 2002 assessment results GIS data and services online. The Gulf Coast assessment is based on geologic elements of a total petroleum system (TPS) as described in Dyman and Condon (2005). The estimates of undiscovered oil and gas resources are within assessment units (AUs). The hydrocarbon assessment units include the assessment results as attributes within the AU polygon feature class (in geodatabase and shapefile format). Quarter-mile cells of the land surface that include single or multiple wells were created by the USGS to illustrate the degree of exploration and the type and distribution of production for each assessment unit. This map service shows the structural configuration of the top of the Travis Peak or Hosston Formations in feet below sea level. The map was produced by calculating the difference between a datum at the land surface (either the Kelly bushing elevation or the ground surface elevation) and the reported depth of the Travis Peak or Hosston. This map service also shows the thickness of the interval from the top of the Travis Peak or Hosston Formations to the top of the Cotton Valley Group. Other data that are available in the map documents and services include the TPS and USGS province boundaries.

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Each month the Current Employment Statistics (CES) program surveys about 141,000 businesses and government agencies, representing approximately 486,000 individual worksites, in order to provide detailed industry data on employment, hours, and earnings of workers on nonfarm payrolls. More information and details about the data provided can be found at http://www.bls.gov/ces

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Health, United States is an annual report on trends in health statistics, find more information at http://www.cdc.gov/nchs/hus.htm.

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These annual reports to Congress are available on line at the Children's Bureau's website. They contain data from the Adoption and Foster Care Analysis and Reporting System, the National Child Abuse and Neglect Data Sytstem and Caseworker Visits. These are State level data, not child level.

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This dataset contains global onshore and offshore wind supply curves based on a resource assessment performed at the National Renewable Energy Laboratory (NREL) based on the National Center for Atmospheric Research's (NCAR) Climate Four Dimensional Data Assimilation (CFDDA) mesoscale climate database. This overview is intended to provide a brief description of the origin of the tables in this workbook, not to fully explain the assumptions and calculations involved. A forthcoming paper will include full detail of sources and assumptions. The supply curves are defined by country and resource quality. Onshore supply curves are further differentiated by distance to nearest large load or power plant, and offshore by distance to shore and water depth. The CFDDA database contains hourly wind velocity vectors at a 40km grid, at multiple heights above ground level. For each grid cell, we create hourly wind speed distributions at 90m hub heights, and we compute gross capacity factor through convolution with a representative power curve. Output is derated for outages and wake losses to obtain net capacity factor. Onshore, we assumed a composite IEC Class II turbine; offshore, an IEC Class I turbine. We assumed a wind turbine density of 5 MW/km². Land and sea area are characterized by country (or country-like object, e.g, Alaska), land use/land cover, elevation, and protection status. Protected, urban, and high-elevation areas are fully excluded, and certain land cover types are fractionally excluded. Offshore, area within 5 nautical miles of or farther than 100 nautical miles from shore are excluded, as are protected marine areas. Marine areas are assigned to country based on exclusive economic zones; unassigned or disputed areas are excluded. As alluded to previously, in this workbook, "United States of America" refers only to the continental U.S. Alaska and Hawaii are counted separately because of their remoteness. Unassigned "countries" comprise relatively remote, unpopulated areas (Alaska, Greenland, remote islands); and disputed marine areas. We recommend that their resource remain unassigned rather than grouped into larger IAM regions. This product is a set of tables containing GW or PWh of technical wind resource potential, by net capacity factor, binned by distance to load/shore and water depth (for offshore). The power and energy quantities are computed independently, each from individual grid cells, so there is not a direct capacity-factor conversion between the two. We have not made assumptions about social or political pressures beyond the exclusion of protected areas, urban areas, and the land use/land cover exclusions introduced above. We have also tried to stay upstream of questions about the economic viability of wind development: i.e., the supply curves are independent of wind turbine cost. We leave the questions of economics to the models. At the right of each table are columns of total and available land (or sea) area by country. Available area is area remaining for wind development after all geospatial exclusions are applied.

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To provide an early indication of sales of retail and food service companies. The United States Code, Title 13, authorizes this survey and provides for voluntary responses.

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U.S. refinery imports of all grades of crude oil, i.e., heavy sour, heavy sweet, light sour, light sweet, and medium crude oil. Data organized by refinery PADD, i.e., East Coast, Midwest, Gulf Coast, Rocky Mountain, West Coast, and Territories. Data in monthly or annual time series. 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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Open Energy Information (OpenEI) is a knowledge-sharing online community dedicated to connecting people with the latest information and data on energy resources from around the world. Created in partnership with the United States Department of Energy and federal laboratories across the nation, OpenEI offers access to real-time data and unique visualizations that will help you find the answers you need to make better, more informed decisions with structured linked open data and information in widely-used formats such as API, CSV, XML, and XLS. OpenEI is making a profound impact on the world’s energy transformation by providing data access, generative data use, key knowledge derivation tools, and synthetic datasets that will help inform policy, purchase, build, and business decisions. This community-based platform is a core competency for the U.S. Department of Energy and its laboratories, providing a high-degree of value for building knowledge and datasets, connecting and structuring data via linked open data standards, and serving as the place for the world to contribute and utilize energy data, APIs and web-services. OpenEI is the backbone to the DOE Data Catalog and federates all DOE-sponsored data upwards to Data.gov in order to enable data transparency and access.

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The After-School Programs at Public Elementary Schools, 2008 (FRSS 91) is a study that is part of the Fast Response Survey System (FRSS) program; program data is available since 1998-99 at . FRSS 91 (http://nces.ed.gov/surveys/frss/) is a sample survey that provides a national profile of various types of formal after-school programs physically located at public elementary schools in 2008. These programs include stand-alone programs that focus primarily on a single type of service (e.g., only day care) and broad-based programs that provide a combination of services such as academic enrichment and cultural activities. The study was conducted using surveys via web or by mail. Principals of public elementary schools were sampled. The study's weighted response rate was 91 percent. Key statistics produced from FRSS 91 were program focus (if applicable), number of students enrolled, hours per week the program operates, availability of transportation for students, whether students from other schools attend the program, and factors that may hinder students from participating in the program.

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This digital dataset contains the compaction data for 24 extensometers used for observations in the Central Valley Hydrologic Model (CVHM). The Central Valley encompasses an approximate 50,000 square-kilometer region of California. The complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling code MODFLOW-FMP (Schmid and others, 2006). This simulation is referred to here as the CVHM (Faunt, 2009). Utilizing MODFLOW-FMP, the CVHM simulates groundwater and surface-water flow, irrigated agriculture, land subsidence, and other key processes in the Central Valley on a monthly basis from 1961-2003. The total active modeled area is 20,334 square-miles. Water levels, water-level altitude changes, and water-level and potentiometric-surface altitude maps; streamflows; boundary flows; subsidence; groundwater pumpage; water use; and water-delivery observations were used to constrain parameter estimates throughout the calibration of the CVHM. Measured compaction from extensometers placed in the valley was used as a subsidence calibration target. The extensometer locations were obtained from USGS files and GPS locations. Subsidence monitoring observations can provide valuable information about hydrologic parameters such as elastic and inelastic skeletal specific storage. The CVHM was adjusted to fit the range of measured compaction at the extensometer sites utilizing UCODE-2005 (Poeter and others, 2006) and manual calibration. The calibration target was the measured compaction from several extensometers in the region. Compaction though delayed drainage and re-pressurizing of aquitards was not simulated. The CVHM is the most recent regional-scale model of the Central Valley developed by the U.S. Geological Survey (USGS). The CVHM was developed as part of the USGS Groundwater Resources Program (see "Foreword", Chapter A, page iii, for details).

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Manufacturers identification dataset includes Manufacturer's Identification Code (MIC), Company name, address, city, and state.

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The electronic Official Personnel Folder (eOPF) Master Forms list includes Permanent and Temporary forms that are consistent with the U.S. Office of Personnel Management (OPM)'s Guide to Data Standards, Guide to Personnel Recordkeeping, and the Guide to Processing Personnel Actions. The eOPF Master Forms List identifies information used for indexing to retrieve documentation once in eOPF. Two examples of identified information are (1) Form Number -- a form's unique identifier that generally includes a combination of alpha and numeric characters -- and (2) Form Title -- a narrative description of form function that may include common government abbreviations and acronyms. Also included is a listing of the OPM Nature of Action (NOA) codes. NOA codes are the specific personnel action used to create or change a civilian personnel record. The eOPF Master Forms List located on the site is not all inclusive. For a complete listing of your agency's eOPF Forms List, contact the program management office at the email address in this inventory record.

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SPAN receives data from VHA suicide prevention coordinators relating to suicidal ideation and suicidal behavior of Veterans. Data include relevant historical activities and related medical concerns as reviewed in the Veteran�s medical record. Data are submitted to VSSC and are cleaned, processed, and managed by statistical staff and program analysts at the VISN 2 Center of Excellence for Suicide Prevention on behalf of the Mental Health Services.

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Arts Education Surveys of Secondary School Teachers, 2009 is a study that is part of the Quick Response Information System. FRSS 103 (http://nces.ed.gov/surveys/frss/) is a sample survey that provides national estimates on arts education and arts instructors in public secondary schools during the 2009-10 school year. The study was conducted using mailed questionnaires that could be completed via web or by mail. Follow-up telephone interviews were also conducted. Teachers were sampled. The study's response rate was 81.8 percent. Key statistics produced from FRSS 103 were data on the teaching load of music and visual arts specialists in secondary schools; teacher participation in various professional development activities and the perceived impact of such participation on teaching; and teachers� use of formal methods of assessment of students� progress and achievement in the arts.

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This data set contains the Limit of '8(g) Zone' line in ESRI shapefile format for the BOEM gulf of Mexico Region. The '8(g) Zone' lies between the Submerged Lands Act (SLA) boundary line and a line projected 3 nautical miles seaward of the SLA boundary line. Within this zone, revenues are shared with the coastal state(s). Because GIS projection and topology functions can change or generalize coordinates, these GIS files are considered to be approximate and are NOT an OFFICIAL record for the exact Submerged Lands Act Boundary. The Official Protraction Diagrams (OPDs) and Supplemental Official Block Diagrams (SOBDs) serve as the legal definition for offshore boundary coordinates and area descriptions.Contains the 8g line as of March 15, 2013. Used ArcCatalog to create shape files. Shape files put at \\imsnolna04\le\shared\GISPublicInfo.

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Database System of Record for SSA Enumeration data.

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This layer shows all categories of polar bear critical habitat combined into one overall polygon. This polygon includes the following critical habitat types: 1) barrier islands and spits 2) one-mile wide no disturbance zone around islands and spits 3) denning habitat on the mainland between the Yukon border and Barrow 4) sea ice Datasets that were combined to create this one: Polar Bear Data.gdb \ Critical_Habitat_Barrier_Islands \ Barrier_Islands Polar Bear Data.gdb \ Critical_Habitat_Barrier_Islands \ No_Disturbance_Zone Polar Bear Data.gdb \ Critical_Habitat_Denning \ Denning_Habitat_95_percent_den_locations Polar Bear Data.gdb \ Critical_Habitat_Feeding \ Feeding_Critical_Habitat All features in this dataset that represent coastal shorelines were obtained from the Alaska Department of Natural Resources' statewide 1:63,360 scale coastline dataset, available at ftp://ftp.dnr.state.ak.us/asgdc/alaska_63360.zip

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The Carl D. Perkins Career and Technical Education Act of 2006 Consolidated Annual Report, 2012-13 (Perkins IV CAR 2012-13) is part of the Carl D. Perkins Career and Technical Education Act of 2006 Consolidated Annual Report (CAR) program; program data is available since 2001 at where are manipulable data exist for different years. Perkins IV CAR 2012-13 (http://cte.ed.gov/accountability/reports.cfm) is a cross-sectional survey that states submit to the Department with annual enrollment, financial and performance data on their progress in achieving state levels of performance on the core indicators of the Carl D. Perkins Career and Technical Education Act of 2006 (Perkins IV), which provides funding for career and technical education. The study was conducted using web-based forms, excel spreadsheets, or paper forms of each eligible agency that receives Perkins IV funding, including the 50 United States, the District of Columbia, Puerto Rico, U.S. Virgin Islands, Palau, and Guam. Perkins IV CAR 2012-13 is a universe survey. Key statistics produced from the Perkins IV CAR 2012-13 are state narratives and financial data, enrollment in career and technical education programs, and state performance in meeting Perkins IV core indicators.

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Clinical Information Support System (CISS) is a web-based portal application that provides a framework of services for the VA enterprise and supplies an integration point for its partner systems. The initial CISS partner system is the Occupational Health Record-keeping System (OHRS), 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 CISS portal is development in the delivery of information and applications to the clinical user community. It provides a single point of access for the clinical user's application and information needs, facilitating faster and more efficient patient care.The CISS framework further establishes a foundation for publishing any type of application, including clinical, non-clinical, HealtheVet, and legacy applications. These plug-in applications, called 'partner systems', can be developed independently and published to the users through the CISS portal. The CISS Program development team uses repeatable Agile development, management and support processes to rapidly develop quality software in 6-month release cycles, improving efficiency and customer satisfaction.

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NOAA CoastWatch was established in 1987 in response to two significant environmental events. A Harmful Algal Bloom (HAB) event occurred off the coast of North Carolina transporting the toxic Gymnodinium breve cells from Florida via the Gulf Stream into the colder coastal waters near Cape Lookout. Also, a severe mammal die-off occurred, where more than 700 bottlenose dolphins died off the mid-Atlantic coast. Both instances prompted Federal and State officials to explore additional data sources for monitoring the coastal waters, such as near real-time satellite data. CoastWatch has expanded from POES/AVHRR SST data for the East Coast to providing a variety of environmental data (i.e. SST, ocean color, winds, etc.) from several different satellite platforms covering all U.S. coastal waters, including Hawaii and Alaska. Today, sea surface temperature maps support meteorological weather predictions and also support commercial and recreational activities (e.g., fishing). Biologists utilize ocean color radiometry data and derived chlorophyll-a and total suspended matter/turbidity products to identify runoff plumes and blooms and also predict HABs; and sailors and commercial shipping pilots use ocean surface vector winds for safe navigation.

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EIA's State Energy Data System (SEDS) is a comprehensive data set that consists of annual time series estimates of state-level energy use by major economic sectors, energy production and and State-level energy price and expenditure data. The system provides data back from 1960. Data are presented in physical units, BTUs, and dollars. While some SEDS data series come directly from surveys conducted by EIA, many are estimated using other available information. These estimations are necessary for the compilation of "total energy" estimates.