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This .stl file was produced by scaling the original model and converting it directly to .stl format.

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The Year End Reporting System stores and reports the data from manufactures requests for quotas, and the Year-End Report. The data is used by the DEA to determine and calculate the aggregated production quota, and establish individual manufacturing and pr

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This coverage includes arcs and arc labels that hold the Bouguer Gravity anomaly value for contours and type contours of the original map of Bangladesh with the same name.

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This chart summarizes Veteran employment in the federal government using data from the Office of Personnel Management's (OPM) report, Employment of Veterans in the Federal Executive Branch FY2013.

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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 1:12,000.

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The Code of Federal Regulations (CFR) is the codification of the general and permanent rules published in the Federal Register by the executive departments and agencies of the Federal Government. It is divided into 50 titles that represent broad areas subject to Federal regulation. Each print volume of the CFR is updated once each calendar year, and is issued on a quarterly basis. Bulk data downloads of Code of Federal Regulations files in XML format are available from 2000 to the present, by year, title, and volume. The current XML data set is not yet an official format of the Code of Federal Regulations. Only the PDF and Text versions have legal status as parts of the official online format of the Code of Federal Regulations. The XML-structured files are derived from SGML-tagged data and printing codes, which may produce anomalies in display. In addition, the XML data does not yet include image files. Users who require a higher level of assurance may wish to consult the official version of the Code of Federal Regulations on FDsys.gov. The FDsys data set includes digitally signed Code of Federal Regulations PDF files, which may be relied upon as evidence in a court of law. See: http://www.gpo.gov/fdsys/browse/collectionCfr.action?collectionCode=CFR

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This narrative report for Tule Lake National Wildlife Refuge outlines Refuge accomplishments from May through August of 1951. The report begins by summarizing the weather conditions, water conditions, food and cover, and wildfires during this period. Wildlife including migratory birds, upland game birds, big game animals, furbearers, predators, rodents, raptors, and fish is also covered. The Refuge development and maintenance section discusses physical developments, plantings, and collections and receipts. The public relations section of the report describes recreational uses, Refuge visitors, and Refuge participation. NR forms, photographs, and narrative reports on Clear Lake National Wildlife Refuge, Upper Klamath National Wildlife Refuge, and Lower Klamath National Wildlife Refuge are attached.

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Subsection of the Supplemental Security Record that deals specifically with post-eligibility data.

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China County-Level Data on Population (Census) and Agriculture, Keyed To 1:1M GIS Map consists of census, agricultural economic, and boundary data for the administrative regions of China for 1990. The census data includes urban and rural residency, age and sex distribution, educational attainment, illiteracy, marital status, childbirth, mortality, immigration (since 1985), industrial/economic activity, occupation, and ethnicity. The agricultural economic data encompasses rural population, labor force, forestry, livestock and fishery, commodities, equipment, utilities, irrigation, and output value. The boundary data are at a scale of one to one million (1:1M) at the county level. This dataset is produced in collaboration with the University of Washington as part of the China in Time and Space (CITAS) project, University of California-Davis China in Time and Space (CITAS) project, and the Columbia University Center for International Earth Science Information Network (CIESIN). (Suggested Usage: To provide information on China's population and agricultural economy from the 1990 census, and geocoded 1990 China county boundary GIS data at 1:1M.)

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The North Atlantic Oscillation (NAO) is one of the leading teleconnection patterns in the Northern Hemisphere circulation. It is calculated as a Rotated Principal Component Analysis (RPCA) for height anomalies poleward of 20 degrees latitude for the Northern Hemisphere. The goal of the RPCA procedure is to capture regional-scale teleconnection patterns in the circulation fields.

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These mapped faults are modified from Plate 2, Principal structural features, Gulf of Mexico Basin (compiled by T.E. Ewing and R.F. Lopez) in Volume J, The Geology of North America (1991); Plate 2, Geologic map of the U.S. Appalachians showing the Laurentian margin and the Taconic orogen (compiled by D.R. Rankin, A.A. Drake, and N.M. Ratcliffe) in Volume F-2, The Geology of North America (1989); and Plate 9, Tectonic map of the Ouachita orogen (compiled by W.A. Thomas) in Volume F-2, The Geology of North America (1989). This dataset contains basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project. Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations. In cases where company proprietary data were used to produce various derivatives such as contour surfaces, the source is cited but the data are not displayed.

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<p>The Deep Space Habitat project delivers concepts for light-weight, safe and reliable exploration habitats capable of:<br />     o Supporting humans living and working in space and on planetary bodies<br />     o Autonomous operation<br />     o Systems failure detection, analysis, and self-repair<br /><br />The Deep Space Habitat project investigates habitation concepts for multiple destinations such as:<br />     o Cis-lunar space<br />     o Interplanetary Space (to include Near Earth Asteroids)<br /><br />This is to drive out opportunities for commonality, early development investment, and early risk mitigation. This project also focuses on maturing exploration habitation subsystems such as:<br />     o Structures and mechanisms<br />     o Environmental control and life support systems<br />     o Active and passive thermal control systems<br />     o Power management and distribution<br />     o Avionics<br />     o Software management system<br />     o Communications<br />     o Environmental protection & particulate (dust) mitigation<br />     o Mission operations/command & control<br />     o Crew systems/interfaces: displays & controls, galleys, quarters<br />     o Extravehicular activity & robotics<br />     o Instrumentation & sensors<br />     o Food supplementation</p><p><br />The process for the Deep Space Habitat project to deliver on these objectives include iterative loops of:<br />     o Concept definition and development<br />     o Systems integration<br />     o Testing<br />     o Building and outfitting habitation prototypes<br /><br />The habitat prototypes function as a(n)<br />     o Technology pull<br />     o Test bed<br />     o Integration capability<br />to advance NASA’s understanding of alternative<br />     o Mission architectures<br />     o Requirements<br />     o Operations concepts definition and validation</p>

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Benton Lake refuge has nearly 6,000 acres of native western wheatgrassgreen needlegrass prairie uplands. This pilot study was designed to assess the condition of refuge prairie, assess the effects of recent prescribed burns, assess the structural integrity of refuge prairie for nesting birds and create a pilot dataset from which to design longterm monitoring. We established 25 random transects across burn treatments timesinceburn throughout the refuge. We documented 39 of an estimated 53 refuge plant species with these pilot transects. We found that although the refuge prairie is generally healthy, the data suggest native cool season grasses are being replaced with nonnative, cool season grasses such as Japanese brome, cheatgrass and Kentucky bluegrass. The recent early spring prescribed fires on the refuge did not appear to influence the native plant composition of our prairie. The pilot data suggest that there is a decrease in litter, plant height and plant vigor measured by VOR immediately after an early season prescribed fire, but this effect disappears by 2 years postfire. Except for litter, which after the initial reduction, continues to increase each year after fire. In general, the structure of our native prairie meets the needs of many of our priority upland nesting birds. When litter depths are 6, it becomes less desirable for priority breeding birds and may be a good guideline for determining when to burn. Currently, refuge grasslands are short, sparse and lacking a significant litter layer, which is not ideal nesting habitat for several species of waterfowl. Precipitation is likely to have the largest influence on the structure of our prairie. Recent prescribed fires appear to reduce litter, but do not seem to have had any other significant, lasting effects. Grazing might increase plant vigor, but until we have several more years of data, especially from wet years, it is not clear if the benefits would outweigh the costs. Chemical treatment of nonnatives may be possible and could be explored further. The data from this pilot study should be used to help set specific goals and objectives during the CCP process. Once these have been defined, this pilot data can be used to design an effective monitoring plan that will provide feedback on health of refuge grasslands and whether or not objectives are being met.

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This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery was acquired from 20120912 - 20120913. The images were acquired with an Applanix Digital Sensor System (DSS). The original images were acquired at a higher resolution than the final ortho-rectified mosaic.

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These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

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This digital dataset contains the locations of, and links to USGS gages on the surface-water network for 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 (Schmidt and others, 2006b). 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. The CVHM includes complex surface-water management processes. The hydrology of the present-day Central Valley and the CVHM model are driven by surface-water deliveries and associated groundwater pumpage. The Streamflow Routing Package (SFR1) is linked to MODFLOW-FMP to facilitate the simulated conveyance of surface-water deliveries. If surface-water deliveries do not meet the farm-delivery requirement, the FMP invokes simulated groundwater pumping to meet the demand. The surface-water network represents a subset of the entire stream network in the valley. Even so, it covers about 3,000 kilometers of surface-water and is simulated using 208 stream segments that represent 2244 stream reaches, with 43 inflows and 66 diversion locations providing 64 routed and 41 non-routed deliveries. Most of these inflows are regulated by dams and most of the deliveries are conveyed through an extensive canal network. The routed deliveries are conveyed through the simulated surface-water network, while the non-routed delivery conveyance typically occurs through small canals or diversion ditches and are not directly simulated. Much of the surface-water diversion and delivery information was compiled by the California Department of Water Resources (DWR) for 21 water-balance subregions (WBSs) covering the valley floor (C. Brush, California Department of Water Resources, written commun., February 21, 2007). 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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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). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.

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Global MODIS vegetation indices are designed to provide consistent spatial and temporal comparisons of vegetation conditions. Blue, red, and near-infrared reflectances, centered at 469-nanometers, 645-nanometers, and 858-nanometers, respectively, are used to determine the MODIS daily vegetation indices. The MODIS Normalized Difference Vegetation Index (NDVI) complements NOAA's Advanced Very High Resolution Radiometer (AVHRR) NDVI products provide continuity for time series historical applications. MODIS also includes a new Enhanced Vegetation Index (EVI) that minimizes canopy background variations and maintains sensitivity over dense vegetation conditions. The EVI also uses the blue band to remove residual atmosphere contamination caused by smoke and sub-pixel thin cloud clouds. The MODIS NDVI and EVI products are computed from atmospherically corrected bi-directional surface reflectances that have been masked for water, clouds, heavy aerosols, and cloud shadows. https://lpdaac.usgs.gov/lpdaac/products/modis_products_table

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The Security Applications System (SAS) includes enpoint security, media security, and malware management systems.

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The magnitude 7.2 quake occurred at 6.57 pm local time (16:57 GMT). Duzce lies on the eastern fringe of the region hit by the August 17 quake. Some areas experienced a one-two punch from the 1999 earthquakes. The death toll from the November quake was reported to be 260 people. More than 1,282 were injured and at least 102 buildings were destroyed.

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This raster data set represents specific-yield ranges in the High Plains aquifer of the United States. The High Plains aquifer underlies 112.6 million acres (176,000 square miles) in parts of eight States: Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. Specific yield ranges from near zero to 30 percent (Gutentag and others, 1984). This data set was generated in ESRI ArcInfo Workstation Version 9.3, which is a geographic information system (GIS), from a contour map of specific-yield ranges. REFERENCES CITED -- Gutentag, E.D., Heimes, F.J., Krothe, N.C., Luckey, R.R., and Weeks, J.B., 1984, Geohydrology of the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming: U.S. Geological Survey Professional Paper 1400-B, 63 p.

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The Grants Payment Request System (GPRS) at the Office of Justice Programs (OJP) allows grantees from multiple agencies, OJP, COPS, and OVW to securely request their awarded funds. The modernization of the GPRS application provides enhanced auditing and r

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Many of the pesticides detected at the pesticide storage site at Lake Minchumina could pose a serious threat to fish and wildlife. The 2,3,7,8TCDD isomer of dioxin, found in soils at the site, is the most toxic synthetic chemical ever tested under laboratory conditions, and has resulted in numerous mammal and bird deaths and reproductive failures elsewhere Eisler 1986: P. 1. The effects of DDE, a DDT metabolite, also present at the site, are also profound and include massive reproductive failures among certain bird species, especially raptors, due to eggshell thinning Stickel 197S. DDT and its metabolites are also slightly to severely toxic to invertebrates and fish depending on species EPA 1980; Mayer and Ellersieck 1986. No pesticides or dioxins were detected in any of burbot or northern pike examined see Appendix, with the exception of a trace amount, 0.02 mgkg 4,4DDE, in one fish. A similar amount of matrix blank contamination occurred, suggesting that even this small concentration was due to laboratory contamination and not actually present in the northern pike. Deficiencies in laboratory quality assurance do not enable an estimate of precision of these results. Also, lack of spike recovery data do not allow any conclusions regarding PCB or toxaphene concentrations of the fish. However, accuracy during spike recoveries was, for the most part, adequate to high for the remaining compounds examined. Although only five fish were examined, all findings were negative, suggesting that Lake Minchumina fish are not contaminated with organochlorine compounds. Apparently, contamination of the lake itself has been minimal. Alternately, dilution and degradation processes have been sufficient to minimize recent fish exposures to organochlorine compounds. These results agree with those obtained by E E 1987, which showed no organochlorine contamination of lake sediments, with the exception of lowlevel contamination by 2,4,5T 0.033 0.260 mgkg. Our analyses did not include analysis of this herbicide. When 2,4,5T is not contaminated by dioxin, it is of low toxicity to invertebrates and only slightly toxic to fish Mayer and Ellersieck 1986.

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NLRB C-Case (Unfair Labor Practice) Frequently Requested Fields data from CATS (Case Activity Tracking System) for FY 2001

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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 Universal Transverse Mercator Coordinate System (ZONE 18N) and Lambert Conformal conic projection. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.