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Geochemical data for soils collected in the United States and analyzed by the USGS. The data were originally entered into the in-house PLUTO database. This is a subset of DDS-47.

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This data set is an ESRI point shapefile. Points represent vegetation and accuracy assessment plots from which field data were collected as part of the Version 2.0 vegetation mapping project at Shenandoah National Park. Point features include 352 points that represent vegetation plots used in the quantitative analysis for this project: 208 plots collected from 2001-2003 for the Version 1.1 park vegetation map; 14 plots sampled during the summer of 2007; 27 plots sampled for the Rock Outcrop Management Plan inventory project (2005-2007); and 103 plots sampled by the Virginia Natural Heritage Program (1990-2000). Two hundred ninety-three (293) point features represent plots sampled during the Version 1.1 accuracy assessment that were used in this effort to evaluate and assess vegetation distribution and composition. The remaining 703 points represent accuracy assessment plots from which field data were collected in the summer of 2008. Data from these 703 plots were used to assess the accuracy of the Version 2.0 vegetation map.

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The "Syria Border Crossings" dataset contains verified data about the geographic location (point geometry) and name of border crossings for Syria. Compiled by the U.S. Department of State, Humanitarian Information Unit (https://hiu.state.gov/), each attribute in the dataset is verified against multiple sources. Locations are only accurate down to the city level. The data contained herein is entirely unclassified and is current as of 16 April 2015. The data is updated as needed.

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<p>In this work we will: 1) develop novel TE materials  with a factor of 2x or more improvement in the dimensionless TE figure of merit (ZT) over state-of-the-art materials in cryogenic environments (100K-300K range) ; and 2) validate the novel materials performance using proof-of-concept power generation TE devices to demonstrate their potential to achieve 15 to 25% conversion efficiency (up to 4x state-of-practice systems) when using low grade heat sources, Radioisotope Heater Unit (RHU)-based or single General Purpose Heat sources (GPHS), and rejecting heat at cryogenic temperatures.</p>

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There have been many earthquake occurrences in central California. This set of slides shows earthquake damage from the following events: Livermore, 1980, Coalinga, 1983; and Morgan Hill, 1984. All of these earthquakes had a magnitude of 5.9 or higher with estimates of eight million dollars of damage or more.The Livermore Earthquake of January 24, 1980. Epicenter: 37.83 N, 121.79 W; depth: 8 km; magnitude: 5.9; damage: $11.5 million; one death. At 11 A.M. PST on January 24, 1980, an earthquake occurred that was felt over an area of approximately 75,000 km2 of central California. The epicenter was 20 km north of Livermore in the vicinity of the Greenville fault. Most of the damage was of a non-structural type. The most commonly reported damage consisted of broken gas and water lines, broken windows and glassware, chimney damage, overturned furniture, mobile homes knocked off supports, cracked plaster, and fallen ceiling tile. Most of the damage, (about $10 million) occurred in the Lawrence Livermore Laboratory nuclear research center. Expensive laser equipment was knocked out of alignment or thrown off supports. Many of the tanks partially or totally failed at the Wente Brothers Winery on Tesla Road, 4 km southeast of Livermore, causing the loss of more than 90,000 liters of wine. The overpass at Interstate 580 and Greenville Road had to be repaired because the paving settled nearly 30 cm during the quake. One death (possibly from a heart attack) and 44 injuries resulted from this earthquake. Most of the injuries were due to flying glass, overturned furniture, and falling ceiling tile and lightfixtures. The Coalinga Earthquake of May 2, 1983. Epicenter: 36.23 N, 120.29 W; depth: 10 km; magnitude: 6.7; damage: $31 million; no deaths. The earthquake struck the town of Coalinga, California, (population 7,000) at 4:42 P.M. PDT on May 2, 1983, and was followed by a large aftershock 3.5 minutes later. The main shock occurred near Anticline Ridge about 15 km northeast of Coalinga. It was felt from the Los Angeles area north to Susanville and from the Pacific Coast to western Nevada, an area of about 205,000 km2. The most serious damage occurred in the eight-block downtown commercial district extending from Third to Seventh Street between Durian and Forest Streets. Of 139 buildings in this area, 59 collapsed or were heavily damaged. The most severe damage occurred to the old (usually pre-1930) one- and two-story buildings of unreinforced brick masonry wall construction, with floors and roofs of wood. In contrast to the severe damage to old brick buildings, the newer buildings of reinforced, concrete block walls orprefabricated metal had little structural damage. Most of the public buildings-including the firehouse, post office, city hall, police station, hospital, and schools-suffered only minor damage. Public utilities (water, electricity, gas) performed well despite damage to some units. Private residences were heavily damaged. More than eight hundred single-family houses were destroyed or damaged. The majority of the 94 injuries occurred in residential sections of the city.The Morgan Hill Earthquake of April 24, 1984. Epicenter: 37.32 N 121.70 W; depth: 8 km; magnitude: 6.2; damage: $8 million; no deaths. On April 24, 1984 at 1:15 P.M. PST, an earthquake occurred on the Calaveras fault to the east of San Jose, California. This earthquake was felt over an area of approximately 120,000 km2 in California and western Nevada. The area of moderate damage extended southward from the epicenter rather than centering on the epicenter. This pattern indicates that the Morgan Hill earthquake may have been a double event with the second event being located about 17 km southeast of the main shock. Most of the damage occurred in Santa Clara County. More than 550 structures hadminor damage. Major structural damage was generally confined to a very small area on two streets of the Jackson Oaks subdivision located east of Morgan Hill (population 19,000). Five houses were condemned; two of these had fallen off their concrete foundations and suffered partial collapse. Several masonry buildings on Main Street in Morgan Hill were damaged andlater condemned. Mobile homes fell off supports, causing considerable damage to the furnishings inside. There were many reports of firesresulting from the quake. Minor damage also occurred at San Martin and Coyote. Twenty-seven people were injured in this earthquake.

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These guidance documents were issued by the U.S. Department of Education Office for Civil Rights. This 2001 Sexual Harassment Guidance reaffirms the compliance standards that OCR applies in investigations and administrative enforcement of Title IX of the Education Amendments of 1972 regarding sexual harassment. The guidance provides the principles that a school should use to recognize and effectively respond to sexual harassment of students in its program as a condition of receiving Federal financial assistance. This 2011 Dear Colleague Letter on Sexual Violence explains that the requirements of Title IX of the Education Amendments of 1972 cover sexual violence and reminds schools of their responsibilities to take immediate and effective steps to respond to sexual violence in accordance with the requirements of Title IX. This 2013 Dear Colleague Letter on Retaliation reminds school districts, postsecondary institutions, and other recipients that retaliation is also a violation of Federal law. The letter seeks to clarify the basic principles of retaliation law and to describe OCR�s methods of enforcement.

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Two-minute gridded global relief for both ocean and land areas are available in the ETOPO2v2 (2006) database. ETOPO2v2 replaced ETOPO2 (2001). The historic 2-minute (ETOPO2v2) and 5-minute (ETOPO5) data are deprecated, but still available. Please use the new ETOPO1 Global Gridded Relief Model.

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Contains data on large trucks and buses involved in Federally reportable crashes as per Title 49 U.S.C. Part 390.5 (crashes involving a commercial motor vehicle, and that either involve a fatalities, injury requiring treatmentaway from the scene of the crash, or a tow-away due to disabling damage). This information is reported by the States to FMCSA.

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Prices of petroleum products and crude oil. Weekly, monthly, and annual data available. 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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Location of facilities participating in Alocohol and Drug Abuse Prevention and Awareness Services

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Decrease the rate of unintentional poisoning deaths involving prescription drugs from 13.3 per 100,000 in 2011 to 11.3 per 100,000 by 2017.

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Employer and other tables shared between eWork and SSI Monthly Wage Verification.

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United States Surface Deployment and Distribution Command news and information.

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NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and warning efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS 84). Grid spacings for the DEMs range from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).

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The Marine Casualty and Pollution Data files provide details about marine casualty and pollution incidents investigated by Coast Guard Offices throughout the United States. The database can be used to analyze marine accidents and pollution incidents by a variety of factors including vessel pollutant details.

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This API provides international data on wind electricity capacity and generation. Data organized by country. 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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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 the services that are associated with 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. This file can be linked by FACID to the Healthcare Facility Locations (Detailed) Open Data file for facility-related attributes, including geo-coding. The L&C Open Data facility services file is 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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The data that is used by the Nursing Home Compare tool can be downloaded for public use. This functionality is primarily used by health policy researchers and the media. Demographic data is refreshed monthly while quality measures are refreshed the first month of each quarter. In order to ease the downloading process, the data have been divided into 5 separate databases. About the Nursing Home About the Nursing Home Inspection Results About the Nursing Home Residents About the Nursing Home Staff About the Nursing Home Ratings.

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The Fish and Wildlife Service prescribes final late-season frameworks from which States may select season dates, limits, and other options for migratory bird hunting seasons. The effect of this final rule is to facilitate the States' selection of hunting seasons and to further the annual establishment of the late-season migratory bird hunting regulations. This dataset contains the administrative High Plains Mallard Management Unit delineation that is used by states in this process. The High Plains Mallard Management Unit consists of all areas in the Central Flyway west of the easternmost areas/boundaries described below. North Dakota High Plains Unit: That portion of the State south and west of a line from the South Dakota State line along U.S. 83 and I–94 to ND 41, north to U.S. 2, west to the Williams/Divide County line, then north along the County line to the Canadian border. South Dakota High Plains Zone: That portion of the State west of a line beginning at the North Dakota State line and extending south along U.S. 83 to U.S. 14, east on U.S. 14 to Blunt, south on the Blunt-Canning Rd to SD 34, east and south on SD 34 to SD 50 at Lee’s Corner, south on SD 50 to I–90, east on I–90 to SD 50, south on SD 50 to SD 44, west on SD 44 across the Platte-Winner bridge to SD 47, south on SD 47 to U.S. 18, east on U.S. 18 to SD 47, south on SD 47 to the Nebraska State line. Nebraska High Plains: That portion of Nebraska lying west of a line beginning at the South Dakota-Nebraska border on U.S. Hwy. 183; south on U.S. Hwy. 183 to U.S. Hwy. 20; west on U.S. Hwy. 20 to NE Hwy. 7; south on NE Hwy. 7 to NE Hwy. 91; southwest on NE Hwy. 91 to NE Hwy. 2; southeast on NE Hwy. 2 to NE Hwy. 92; west on NE Hwy. 92 to NE Hwy. 40; south on NE Hwy. 40 to NE Hwy. 47; south on NE Hwy. 47 to NE Hwy. 23; east on NE Hwy. 23 to U.S. Hwy. 283; and south on U.S. Hwy. 283 to the Kansas-Nebraska border. Kansas High Plains Zone: That portion of the State west of U.S. 283. Oklahoma High Plains Zone: The Counties of Beaver, Cimarron, and Texas. Texas High Plains Zone: That portion of the State west of a line extending south from the Oklahoma State line along U.S. 183 to Vernon, south along U.S. 283 to Albany, south along TX 6 to TX 351 to Abilene, south along U.S. 277 to Del Rio, then south along the Del Rio International Toll Bridge access road to the Mexico border. Central Flyway--includes Colorado (east of the Continental Divide), Kansas, Montana (Counties of Blaine, Carbon, Fergus, Judith Basin, Stillwater, Sweetgrass, Wheatland, and all counties east thereof), Nebraska, New Mexico (east of the Continental Divide except the Jicarilla Apache Indian Reservation), North Dakota, Oklahoma, South Dakota, Texas, and Wyoming (east of the Continental Divide). This boundary was defined as the result of an assessment of mallard band-recovery and harvest distributions conducted back in the early 1970s.

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FRA Grade Crossings is a spatial file that originates from the National Highway-Rail Crossing, Inventory Program (NTAD 2015). The program is to provide information to Federal, State, and local governments, as well as the railroad industry for the improvements of safety at highway-rail crossing.

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The global land surface temperature databank contains monthly timescale mean, max, and min temperature for approximately 40,000 stations globally. It was developed as part of the International Surface Temperature Initiative. This is the global repository for all monthly timescale land surface observations from the 1800s to present and uses data deriving from sub-daily, daily, and monthly observations. It brings together data from more than 45 sources and is used in the creation of various integrated global temperature resources, most notably Global Historical Climatology Network Monthly (GHCN-M) v4. Stage 2 Daily data are processed into a standard format from Stage 1 Daily files. Stage 2 data are not homogenized or processed beyond flagging for data provenance and data quality.

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The litigation releases concerning civil lawsuits brought by the SEC in federal court in 2009.

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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. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

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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 State Plane 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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A national survey conducted to measure immigration into and emigration out of the United States. The universe for the survey are all persons in sample household for the Current Population Survey (CPS).