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A cells polygon feature class was created by the U. S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the State of Illinois. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. Data were retrieved from the Illinois State Geological Survey (ISGS) oil and gas wells database. Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data are displayed or included in the cell maps. The data are current as of 2006.

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The Light Detection and Ranging (LiDAR) data set is a survey of Alameda County in Northern California. The entire survey covers approximately 868.382 square miles. The Nominal Point Density of this dataset is approximately 1.66 meters for unobscured areas. The LiDAR discrete-return point cloud data were originally available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS V1.2 format.

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This set of slides graphically illustrates the potential danger that major earthquakes pose to school structures and to the children and adults who happen to be inside at the time of the earthquake. It includes pictures from 1886 to 1988. The slide set includes nine destructive earthquakes that occurred in the U.S. and eight earthquakes that occurred in foreign countries. The slopes above streams and rivers are subjected to a variety of processes that cause them to recede and retreat from the river or stream channel. These processes, collectively called mass wasting, can be classified according to rapidity of movement and according to the type of materials that are transported. Gravity is the force behind all such downslope movement. Factors that enable the force of gravity to overcome the resistance of inertia and friction to move more material downslope include: saturation by water which acts as a lubricant, steepening of slopes by streams, waves, or road construction, alternate freezing and thawing, and earthquake vibrations. Mass wasting of surface material is widespread process that can be found in high mountains, desert hillsides, deep ocean shelves, steep ocean shores and even on the moon and other rocky planets. The major methods of mass movement include: Rockfalls: Large or small amounts of rock material break away from the face of a cliff as a result of weathering, and in the most rapid type of mass movement, free fall or bounce along an irregular slope to the base of the cliff forming talus. Rockslide: Rock material slides along a plane of structural weakness such as a bedding plane. Although they are most common on steep slopes, they can even occur on slopes of 15 degrees. Millions of tons of rock may plunge down slope at speeds greater than 160 km (100 miles per hour in what is often the most catastrophic form of mass wasting. Debris slide: Dry to moderately-wet, loose rock fragments and soil move rapidly over the surface of underlying bedrock. The interface of moving material and undrlying bedrock is dry in a debris slide. Debris avalanche: Loose earth on a steep slope becomes wet and slides to the bottom of the slope. Snow avalanche: Unstable snow breaks loose and plunges down slope carrying rock and debris, carving avalanche chutes. Debris flow: Rock fragments, mud, and water flow downslope as a thick viscous fluid. Debris flows may begin as slumps and continue as flows. Movement may be as slow as that of freshly poured concrete or as rapid as that of a river. Mudflow: Silt and clay particles with water content as high as thirty percent follow stream valleys until the terrain flattens. Then they spread out as fans. Mudflows are sometimes over 100 m (330 ft) thick; they can float large boulders and move houses from their foundations. The speed of movement depends on the slope and the water content of the flow. Landslide: Unconsolidated rock material and even the bedrock itself may be involved in what is usually a rapid movement of material beginning with the slumping of stream banks or sea cliffs, or the sliding of mountain sides. Landslides move as a unit or series of units along a definite plane (in contrast to debris flows which move as viscous fluids). The material moves downward and outward along a curved plane. Eventually the material breaks into fragments that slide over uneven ground at the base until friction overcomes the force of motion. Slumping: A resistant rock overlies a weaker rock layer. The weaker rock is eroded undermining the resistant rock and producing an unstable condition. Slump blocks can be as much as 5 km (3 mi) long and 150 m (495 ft) thick. They may move in a matter of seconds or gradually slip over a period of several weeks. SolifluctionThe upper zone of saturated soil flows slowly down even the most gentle slopes in arctic and subarctic regions where an impermeable permafrost area exists. Water can not percolate into this permafrost area so the thawed surface remains saturated and flows as a viscous fluid.Rock GlacierAngular rock debris resembling glaciers move as a body down slope at rates ranging from 3 cm (1.2 in) a day to 1 m (3.3 ft) a year. A considerable amount of ice exists in the pore spaces between the rock fragments and is responsible for much of the movement. The increased weight of rock fragments falling onto the flow cause the ice to flow. Steep cliffs and a cold climate that keeps ice permanently frozen are conditions that most often result in rock glaciers. A steep flow front, lobes, and concentric ridges on the flow are evidence of rock glaciers.CreepThe mantle on a slope moves downward almost imperceptibly under the constant pull of gravity. In areas subject to cold winters the water in the layers of soil or clay freezes and increases in volume. This lifts the rocks upward at right angles to the slope. However, when melting occurs the rocks fall vertically and so are moved downhill. Wetting and drying has the same effect since moisture causes expansion of clay materials. Burrowing organisms displace particles permitting the force of gravity to move them. Growing plant roots and the tramping of animals also force soil material downslope. Photograph credit: All photographs in this slide set were provided by B. Bradley of the University of Colorado's Geology Department.

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The 2011-12 National Postsecondary Student Aid Study (NPSAS:12) is a study that is part of the National Postsecondary Student Aid Study (NPSAS) program. NPSAS:12 (http://nces.ed.gov/surveys/npsas/about.asp) is a cross-sectional survey that is designed to compile a comprehensive research dataset, based on student-level records, on financial aid provided by the federal government, the states, postsecondary institutions, employers, and private agencies, along with student demographic and enrollment data. The study was conducted using multiple sources, including institutional records, government databases, and student interviews. To be eligible to participate in the study, students have to be enrolled in a postsecondary institution. The data are representative of all undergraduate and graduate students enrolled in postsecondary institutions in the 50 United States and the District of Columbia that were eligible to participate in the federal financial aid programs in Title IV of the Higher Education Act. Statistics produced from NPSAS:12 provide reliable national estimates of characteristics related to financial aid for postsecondary students.

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Envirofacts integrates information from a variety of EPA's environmental databases. Each of these databases contains information about facilities that are required to report activity to a state or federal system. Using this API, you can retrieve information about hazardous waste (including the Biennial Report), toxic and air releases, Superfund sites, and water discharge permits, plus more. Envirofacts has developed this RESTful data service API to all of its internal data holdings.

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USGS high resolution orthorectified images from The National Map combine the image characteristics of an aerial photograph with the geometric qualities of a map. An orthoimage is a uniform-scale image where corrections have been made for feature displacement such as building tilt and for scale variations caused by terrain relief, sensor geometry, and camera tilt. A mathematical equation based on ground control points, sensor calibration information, and a digital elevation model is applied to each pixel to rectify the image to obtain the geometric qualities of a map. A digital orthoimage may be created from several photographs mosaicked to form the final image. The source imagery may be black-and-white, natural color, color infrared, or color near infrared (4-band) with a pixel resolution of 1-meter or finer. With orthoimagery, the resolution refers to the distance on the ground represented by each pixel.

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International and domestic data on coal production, consumption, prices, reserves, stocks, imports, exports, distribution, and transportation rates. Weekly, monthly, and annual data available.

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The NHDPlus Version 1.0 is an integrated suite of application-ready geospatial data sets that incorporate many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,000-scale NHD), improved networking, naming, and "value-added attributes" (VAA's). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainageenforcement technique first broadly applied in New England, and thus dubbed "The New-England Method". This technique involves "burning-in" the 1:100,000-scale NHD and when available building "walls" using the national WatershedBoundary Dataset (WBD). The resulting modified digital elevation model(HydroDEM) is used to produce hydrologic derivatives that agree with the NHDand WBD. An interdisciplinary team from the U. S. Geological Survey (USGS), U.S. Environmental Protection Agency (USEPA), and contractors, over the lasttwo years has found this method to produce the best quality NHD catchments using an automated process.The VAAs include greatly enhanced capabilities for upstream and downstream navigation, analysis and modeling. Examples include: retrieve all flowlines (predominantly confluence-to-confluence stream segments) and catchments upstream of a given flowline using queries rather than by slower flowline-by flowline navigation; retrieve flowlines by stream order; subset a stream level path sorted in hydrologic order for stream profile mapping, analysis and plotting; and, calculate cumulative catchment attributes using streamlined VAA hydrologic sequencing routing attributes.The VAAs include results from the use of these cumulative routing techniques, including cumulative drainage areas, precipitation, temperature, and land cover distributions. Several of these cumulative attributes are used to estimate mean annual flow and velocity as part of the VAAs.NHDPlus contains a snapshot (2005) of the 1:100,000-scale NHD that has been extensively improved. While these updates will eventually make their way back to the central NHD repository at USGS, this will not have happened prior to distribution of NHDPlus because the update process for the central NHD repository is still in development. Consequently, the NHDPlus will contain some temporary database keys and, as a result, NHDPlus users may not make updates to the NHD portions of NHDPlus with the intent of sending these updates back to the USGS. Once the NHDPlus updates have been posted to the central NHD repository, a fresh copy of the improved data can be downloaded from the central NHD repository and that copy will be usable for data maintenance. Note that the NHDPlus products are tightly integrated and user modifications to the underlying NHD can compromise this synchronization.

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This digitally compiled map includes geology, oil and gas fields, and geologic provinces of Europe. The oil and gas map is part of a worldwide series released on CD-ROM by the World Energy Project of the U.S. Geological Survey. For data management purposes the world is divided into eight energy regions corresponding approximately to the economic regions of the world as defined by the U.S. Department of State. Europe (Region 4) including Turkey (Region 2) includes Albania, Andorra, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Liechtenstein, Luxembourg, The Former Yugoslav Republic of Macedonia, Malta, Monaco, Netherlands, Norway, Poland, Portugal, Romania, San Marino, Serbia and Montenegro, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey, United Kingdom, Vatican City, Faroe Islands, Gibraltar, Guernsey, Jersey, Isle of Man, Svalbard

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The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for almost all geographic areas for which the Census Bureau tabulates data for both the 2010 Census and Census 2000. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

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This is a dataset of baby names for the years 2009 through 2013.

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MAP:http://tinyurl.com/HealthcareFacilityLocationsMap The California Department of Public Health (CDPH), Center for Health Care Quality, Licensing and Certification (L&C) Program licenses more than 30 types of healthcare facilities. The Electronic Licensing Management System (ELMS) is a California Department of Public Health data system created to manage state licensing-related data. This file lists California healthcare facilities that are operational and have a current license issued by the CDPH and/or a current U.S. Department of Health and Human Services’ Centers for Medicare and Medicaid Services (CMS) certification. The L&C Open Data facility file is geo-coded and updated quarterly. To link the CDPH facility IDs with those from other Departments, like OSHPD, please reference the "Licensed Facility Cross-Walk" Open Data table at https://chhs.data.ca.gov/Facilities-and-Services/Licensed-Facility-Cross...

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List of Federal Executive Agency Internet domains.

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Civil Service Retirement System/Federal Employees Retirement System (CSRS/FERS) Employee and Survivor Annuitants Geographic Distribution by Number of Roll and Monthly Annuities

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The 2006-2010 ACS 5-Year Selected Population Tables (SPT) use ACS data aggregated over a 5-year period to provide more reliable estimates of detailed social, economic, and housing characteristics for many race, tribal, Hispanic, and ancestry population groups at multiple levels of geography. Detailed tables on topics such as educational attainment, fertility, nativity, citizenship, income, poverty, and homeownership are iterated for many racial and ethnic population groups. For the SPT, detailed tables are presented for up to 392 population groups in geographies down to the tract level where population thresholds were met.

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The North American Mesoscale Forecast System (NAM) is one of the major regional weather forecast models run by the National Centers for Environmental Prediction (NCEP) for producing weather forecasts. Dozens of weather parameters are available from the NAM grids, from temperature and precipitation to lightning and turbulent kinetic energy. The NAM generates multiple grids (or domains) of weather forecasts over the North American continent at various horizontal resolutions. High-resolution forecasts are generated within the NAM using additional numerical weather models. These high-resolution forecast windows are generated over fixed regions and are occasionally run to follow significant weather events, like hurricanes. This dataset contains a 12 km horizontal resolution Lambert Conformal grid covering the Continental United States (CONUS) domain. It is run four times daily at 00z, 06z, 12z and 18z out to 84 hours with a 1 hour temporal resolution.

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The USGS Shaded Relief Large service from The National Map (TNM) was created from the National Elevation Dataset (NED), a seamless dataset of best available raster elevation data for the conterminous United States, Alaska, Hawaii, and Territorial Islands of the US. Derived from the NED using a hill shade technique, this base map represents a continental view showing shaded relief from USGS NED layers at resolutions of 1/3-, 1-, and 2-arc-second (in Alaska only). This hillshade is actually five separate shaded relief datasets created from the original terrain data. Each shaded relief has different azimuths and altitude values as follows: 0 45, 135 60, 270 45, 315 45, 45 45. These five datasets are then combined into one feature class using map algebra to compute the raster layers using the following equation (shadedrelief1 + shadedrelief2 + shadedrelief3 + (shadedrelief4 x 2) + shaded relief5 / 6). This equation gives double importance to the 315 degrees azimuth and 45 degrees altitude. Color characteristics are the result of applying a color ramp in which RGB values range from near-white (RGB: 255, 255, 252) to brown (RGB: 156, 142, 107). The color ramp was applied with a stretch type of 4.3 standard deviations, since the scale of brightness values range from 130 to 1240. Contrast (24 percent) and brightness (3 percent) enhancements were applied for cartographic purposes. For additional information on the NED, go to http://ned.usgs.gov.

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The 2014 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Regions are four groupings of States (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.

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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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The data included in the GIS Traffic Stations Version database have been collected by the FHWA from the State DOTs (NTAD 2015). Location referencing information was derived from State Offices of Transportation. The attributes on the point elements of the database are used by FHWA for its Travel Monitoring and Analysis System and by State DOTs. The attributes for these databases have been intentionally limited to location referencing attributes since the core station description attribute data are contained within the Station Description Tables (SDT). There is a separate Station Description Table (SDT) for each of the station types. The attributes in the Station Description Table correspond with the Station Description Record found in Chapter 6 of the 2001 Traffic Monitoring Guide. The SDT contains the most recent stations available for each state and station type. This table was derived from files provided UTCTR by FHWA. The Station Description Table can be linked to the station shapefile via the STNNKEY field.

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The National Prosthetics Patient Database (NPPD) established a central database of Prosthetics data recorded at each Veterans Health Administration facility. Its objective was to enable clinical reviews to increase quality, reduce costs, and improve efficiency of the Prosthetics program. Increase the quality of the services to our Veterans by providing a means to develop consistency in services, review prescription and management practices, develop training, monitor Home Medical Equipment, and measure performance improvements. Reduce costs by comparing costs system-wide, identifying common items for consolidated contracting, identifying costs for Medical Cost Care Funds (MCCF) purposes and improving contracting cost benefit. Improve efficiency by validating the data, improving budget management, determining where coding errors occur, providing training, and comparing unique social security numbers for multiple site usage and item issue. The NPPD Menu provides patient information, patient eligibility, Prosthetic treatment, date of provision, cost, vendor, and purchasing agent information. This system tracks average cost data and its usage and provides on both a monthly and quarterly basis detailed and summary reports by station, Veterans Integrated Service Network (VISN) and agency. The NPPD Menu resides in Veterans Health Information Systems and Technology Architecture (VistA) at the medical center level. This data is updated quarterly. Data is rolled up at each facility and transmitted to Hines. The data is then loaded into the Corporate Data Warehouse (CDW) from which data extracts are done. The data is also put into a ProClarity cube and is available to VA local, regional, and national managers online. National managers have the ability to properly monitor, oversee and manage the national program and regional managers are able to effectively manage their respective areas using this tool. The primary purpose of this database is to provide financial and clinical oversight of the Prosthetics program and is used primarily by the Prosthetics and Sensory Aids (PSA) including VISN staff, VISN Prosthetics Representatives, Prosthetics Program Managers and other Prosthetics staff.

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The Enterprise Human Resources Integration-Statistical Data Mart (EHRI-SDM) is a statistically cleansed sub-set of the data contained in the EHRI data warehouse. It contains data about the employee and their position, along with various demographic variables. This is the status data.

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HPMS compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially-enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.

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The Equity in Athletics Disclosure Act Survey, 2013 (EADA 2013) is part of the Equity in Athletics Disclosure Act Survey (EADA) program (http://www2.ed.gov/finaid/prof/resources/athletics/eada.html). Data is available since 2001 at . The Equity in Athletics Disclosure Act requires co-educational institutions of postsecondary education that participate in a Title IV, federal student financial assistance program, and have an intercollegiate athletic program, to prepare an annual report to the Department of Education on athletic participation, staffing, and revenues and expenses, by men's and women's teams. This cross-sectional data collection was administered via an online survey. In 2013, the collection's response rate was 100 percent. Key statistics from EADA 2013 were designed to make prospective students aware of a schools� commitment to providing equitable athletic opportunities for its men and women students; as well, results were used in the Department's report to Congress on gender equity in intercollegiate athletics.

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Online and Distance Education at Postsecondary Institutions, 2006-07 (PEQIS 16) is a study that is part of the Postsecondary Education Quick Information System (PEQIS) program; program data is available since 1997 at . PEQIS 16 (http://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2009044) is a survey that collects data on the prevalence and delivery of distance education courses in the 2006-07 12-month academic year, including the number of courses and enrollment for online courses, hybrid/blended online courses, and all other distance education courses. The survey also collects information about numbers of degree or certificate programs designed to be completed entirely through distance education and the technologies used for the instructional delivery of credit-granting distance education courses. The study was conducted using paper and web surveys. The weighted response rate was 87 percent. Postsecondary institutions were sample for this study. Key statistics produced from PEQIS 16 relate to information on the prevalence, types, delivery, policies, and acquisition or development of distance education courses and programs.