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This data set consists of digitized water-level elevation contours for the Antlers aquifer in southeastern Oklahoma. The Early Cretaceous-age Antlers Sandstone is an important source of water in an area that underlies about 4,400-square miles of all or part of Atoka, Bryan, Carter, Choctaw, Johnston, Love, Marshall, McCurtain, and Pushmataha Counties. The Antlers aquifer consists of sand, clay, conglomerate, and limestone in the outcrop area. The upper part of the Antlers aquifer consists of beds of sand, poorly cemented sandstone, sandy shale, silt, and clay. The Antlers aquifer is unconfined where it outcrops in about an 1,800-square-mile area. The water-level elevation contours were digitized from a mylar map at a scale of 1:250,000 that was used to prepare a final map published at a scale of 1:500,000 in a ground-water modeling report. Water levels measured in wells in 1970 were used to construct the map. The water-level elevation contours for the Antlers aquifer in Texas are not included in this data set. The digital data set contains water-level elevations that range from 300 feet (in the east) to 900 feet (in the west) above sea level or the National Geodetic Vertical Datum of 1929.

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The Ocean Uses Atlas Project is an innovative partnership between the Coastal Response Research Center (CRRC) and NOAA's Office of Ocean and Coastal Resource Management (OCRM). The Project was designed to enhance ocean management through geospatial data on the full range of significant human uses of the ocean environment from the shorelines of New Hampshire and Southern Maine to the EEZ boundary. The data were gathered from regional ocean experts and users through participatory GIS methods. For more information on the project scope, background and related data products, please visit http://www.crrc.unh.edu/workshops/ocean_uses/index.html or http://www.mpa.gov/dataanalysis/atlas_nhsm/.

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The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.

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This Small Business Innovation Research Phase I program addresses NASA?s need for long duration shelf stable food by developing a high oxygen/moisture barrier polymer system with good optical quality and extended durability for food packaging. At the present time, processable polymers with good optical quality have only intermediate barrier properties, e.g., Nylon-6 and Polyester. Several groups have successfully reduced their moisture and oxygen transmission rates to 30% of their initial values by adding surface treated clays and/or oxygen scavengers, but the transmission rates are still too high. In this program, T/J Technologies will dramatically improve the barrier properties of transparent polymers by tailoring the processing and microstructure of nanocomposite systems. Specifically, we propose to achieve lower transmission rates using a combination of a high barrier polymer, a range of selected additives that can be oriented to reduce gas and vapor permeation, and solution based processing to improve additive dispersion and the ability to orient the additive. We anticipate the resulting materials will show >50% enhancement in oxygen and moisture barrier properties when compared to existing barrier polymer systems.

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This tabular data set represents the estimated area of land use and land cover from the National Land Cover Dataset 2001 (LaMotte, 2008), compiled for every MRB_E2RF1 catchment of the Major River Basins (MRBs, Crawford and others, 2006). The source data set represents land use and land cover for the conterminous United States for 2001. The National Land Cover Data Set for 2001 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of Federal agencies (http://www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (USEPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management (BLM), and the USDA Natural Resources Conservation Service (NRCS). The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering the South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5) and the Pacific Northwest (MRB7) river basins.

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The Sea Level Rise Impacts on Ramsar Wetlands of International Importance data set represents the results of an analysis using the boundaries for Ramsar sites designated under the Ramsar Convention on Wetlands and intersecting them with different elevation zones in the coastal zone to assess area and percent area that would become inundated under 1 and 2 meter sea level rise scenarios. This data set provides results for 613 sites with defined boundaries that were found to intersect with the 0-5m above mean sea level coastal zone, defined by NASA Shuttle Radar Topography Mission (SRTM) elevation data. In addition to assessing the degree of risk of inundation, the data set provides data on population density and percent of land that is urban within the site and within 1km and 5km buffers surrounding the site. The data set also reports on infant mortality rates within 1km and 5km buffers around the site, as a measure of poverty levels that may affect adaptive capacity.

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The USGS Central Region Energy Team assesses oil and gas resources of the United States. The onshore and State water areas of the United States comprise 71 provinces. Within these provinces, Total Petroleum Systems are defined and Assessment Units are defined and assessed. Each of province is defined geologically, and most province boundaries are defined by major geologic changes. This dataset is a compilation of data that has been studied and published separately, and in some cases adjacent provinces do not share a common boundary. As a consequence, there are numerous gaps and overlaps in this layer.

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This table shows a brief summary of enrollees, outpatient visits, and inpatient admissions.

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The dataset provides the total number of health plan selections by ZIP Code for the 37 states that use the HealthCare.gov platform, including the Federally-facilitated Marketplace, State Partnership Marketplaces and supported State-based Marketplaces. These data reflect the total number of consumers who selected a plan or were automatically re-enrolled for the 2015 coverage year as of January 16, 2015. The dataset does not include plan selections from the District of Columbia and 13 other states that have State-based Marketplaces. Data for ZIP Codes with 50 or fewer plan selections are not included to protect individuals privacy. A total of 13,725 ZIP Codes with at least 51 plan selections per ZIP Code are included in the table. These data account for 97 percent of the total 7.16 million overall plan selections in the 37 states as of January 16, 2015. The sum of plan selections among ZIP Codes within a state using this dataset may not be equal to state-level totals provided in the state level snapshots. This is because ZIP Code-level data does not appear for ZIP Codes with 50 or fewer plan selections, and as a result the dataset does not include all plan selections within a state.

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The 2011 Toxics Release Inventory (TRI) dataset contains the most current TRI data available and reflects toxic chemical releases and pollution prevention activities that occurred at TRI facilities during the 2011 calendar year. You can use this dataset to find out what TRI-covered toxic chemicals are being produced and used at industrial facilities in your local area and how they are being managed. Please note that this dataset will change as the TRI Program continues to process TRI submissions. The TRI Program provides this dataset annually in late July to give the public an opportunity to see the most recent TRI information prior to the publication of the TRI National Analysis report in December. To view National Analysis reports from previous years, please consult TRI's archive of National Analysis data at http://www.epa.gov/tri/.

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Description

The 2011 Toxics Release Inventory (TRI) dataset contains the most current TRI data available and reflects toxic chemical releases and pollution prevention activities that occurred at TRI facilities during the 2011 calendar year. You can use this dataset to find out what TRI-covered toxic chemicals are being produced and used at industrial facilities in your local area and how they are being managed. Please note that this dataset will change as the TRI Program continues to process TRI submissions. The TRI Program provides this dataset annually in late July to give the public an opportunity to see the most recent TRI information prior to the publication of the TRI National Analysis report in December. To view National Analysis reports from previous years, please consult TRI's archive of National Analysis data at http://www.epa.gov/tri/.

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This data set depicts land use and land cover from the 1970s and 1980s and has been previously published by the U.S. Geological Survey (USGS) in other file formats. This version has been reformatted to other file formats and includes minor edits applied by the U.S. Environmental Protection Agency (USEPA) and USGS scientists. This data set was developed to meet the needs of the USGS National Water-Quality Assessment (NAWQA) Program.

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Information on residential fire fatalities is compiled through a daily Internet search (Monday-Friday) of U.S. news media reports. The primary purpose of this information is to help raise awareness about the danger of fire and the frequency of home fire deaths.

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Preliminary Toxics Release Inventory Data. The Toxics Release Inventory (TRI) is a publicly available EPA database that contains information on toxic chemical releases and waste management activities reported annually by facilities in certain industries as well as federal facilities. The TRI Program provides the Preliminary Toxics Release Inventory dataset annually in mid- to late July to give the public an opportunity to see the most recent TRI information prior to the publication of the TRI National Analysis report in December. Please note that the Preliminary Toxics Release Inventory dataset is not yet complete and will be updated every two weeks as the TRI Program continues to process additional reporting year 2012 TRI submissions. DISCLAIMER: See http://www2.epa.gov/toxics-release-inventory-tri-program/2012-tri-preliminary-dataset for limitations and other information regarding the use of this data.

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This dataset provides lines of equal average annual precipitation for water years 1950-98 in the Black Hills area of South Dakota and Wyoming.

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This map layer is a grid map of 1992 average vegetation growth for Alaska and the conterminous United States. The nominal spatial resolution is 1 kilometer and the map layer is based on 1-kilometer AVHRR data. The data were compiled by staff at the USGS Center for Earth Resources Observation and Science.

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This document details a plan to study the MalheurHarney Lakes basin. Topics covered include the purpose of the study, how it will be conducted, and the budget.

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The Facility Registry System (FRS) identifies facilities, sites, or places subject to environmental regulation or of environmental interest to EPA programs or delegated states. Using vigorous verification and data management procedures, FRS integrates facility data from program national systems, state master facility records, tribal partners, and other federal agencies and provides the Agency with a centrally managed, single source of comprehensive and authoritative information on facilities.

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The National Corrections Reporting Program gathers data on prisoners entering and leaving the custody or supervision of state and federal authorities. The dataset is comprised of four types of data: prisoners who were admitted to prison (Part 1), released

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The Low Elevation Coastal Zone (LECZ) Urban-Rural Estimates consists of country-level estimates of urban, rural and total population and land area country-wide and in the LECZ, if applicable. Additionally, the dataset provides the number of urban extents, their population and land area that intersect the LECZ, by city-size population classifications of less than 100,000, 100,000 to 500,000, 500,000 to 1,000,000, 1,000,000 to 5,000,000, and 5,000,000 +. All estimates are based on GRUMP alpha data products. The LECZ was generated using SRTM Digital Elevation Model data and includes all land area that is contiguous with the coast and 10 meters or less in elevation. All grids used for population, land area, urban mask, and LECZ were of 1 km (30 arc-second) resolution. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Institute for Environment and Development (IIED).

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he 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 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 list of all loans insured as of the date of the report by the Office of Statewide Health Planning & Development's Cal-Mortgage Loan Insurance Program, sorted alphabetically by borrower name.

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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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Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).