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This dataset contains a list of products that carry the Design for the Environment (DfE) label. This mark enables consumers to quickly identify and choose products that can help protect the environment and are safer for families. When you see the DfE logo on a product it means that the DfE scientific review team has screened each ingredient for potential human health and environmental effects and that-based on currently available information, EPA predictive models, and expert judgment-the product contains only those ingredients that pose the least concern among chemicals in their class. Product manufacturers who become DfE partners, and earn the right to display the DfE logo on recognized products, have invested heavily in research, development and reformulation to ensure that their ingredients and finished product line up on the green end of the health and environmental spectrum while maintaining or improving product performance. EPA's Design for the Environment Program (DfE) has allowed use of their logo on over 2500 products. These products are formulated from the safest possible ingredients and have reduced the use of "chemicals of concern" by hundreds of millions of pounds.

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MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). This map shows the temperature of Earth's lands during the nighttime.

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Surficial geology (geo7_2ag).

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Quarterly Progress Reports on Salmonella and Campylobacter Testing of Selected Raw Meat and Poultry Products

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The World Magnetic Model is the standard model used by the U.S. Department of Defense, the U.K. Ministry of Defence, the North Atlantic Treaty Organization (NATO) and the International Hydrographic Organization (IHO), for navigation, attitude and heading referencing systems using the geomagnetic field. It is also used widely in civilian navigation and heading systems. The model is produced at 5-year intervals, with the current model expiring on December 31, 2019. The current model WMM2015 is produced jointly by the NGDC and the British Geological Survey (BGS). The model, associated software, and documentation are distributed by NGDC on behalf of US National Geospatial-Intelligence Agency and by BGS on behalf of UK Defence Geographic Centre.

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The Climate Prediction Center (CPC) issues a series of thirteen probabilistic three-month precipitation outlooks for the United States. CPC issues the thirteen outlooks each month with lead times from 0.5 months to 12.5 months. For example, in mid-January, CPC will issue Three-Month Precipitation Outlooks for February through April, March through May, April through June, and so on into February through April of the following year. A new set of outlooks would then be released in mid-February for March through May, April through June, and so on into March through May of the following year. CPC expresses the outlooks in a 3-category probabilistic format as the chance the total precipitation for the period will be above, below, or near median. CPC bases its definition of above median, near median, and below median by fitting a Gamma distribution to a thirty year climatology and dividing this distribution into equally likely thirds. Note that the base period for the thirty year climatology (currently beginning in 1981 and ending in 2010) is updated once per decade. CPC indicates the probability of the most likely category with shaded contours and labels the centers of maximum probability with the letters "A" (for Above Median), "B" (for Below Median), or "N" (for Near Median). For areas where a favored category cannot be determined, CPC indicates those areas with an "EC" meaning "Equal Chances". CPC also accompanies the outlook maps with a technical discussion of the meteorological and climatological basis for the outlooks. CPC may include analysis of statistical and numerical models, meteorological and sea-surface temperature patterns, trends and past analogs, and confidence factors in this technical discussion.

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These data are provided each month by the Department of Health and Mental Hygiene (DHMH) to the Governor's Office of Performance Improvement (GOPI). The Department of Information Technology (DoIT) ran the analyses in the "Analysis" and "Correlations" sections.

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This shapefile contains polygons that describe the geologic age and lithologies of outcrops in Afghanistan.

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The 2011-12 Private School Universe Survey (PSS 2011-12) is a study that is part of the Private School Universe program. PSS 2011-12 (http://nces.ed.gov/surveys/pss/) is a cross-sectional survey that collects data on private elementary and secondary schools, including religious orientation, level of school, length of school year, length of school day, total enrollment (K-12), race/ethnicity of students, number of high school graduates, number of teachers employed, program emphasis, and existence and type of kindergarten program. The study was conducted using mail questionnaires, an internet response option and telephone and personal follow-up of all private schools in the United States. The PSS universe consists of a diverse population of schools. It includes both schools with a religious orientation (e.g., Catholic, Lutheran, or Jewish) and nonsectarian schools with programs ranging from regular to special emphasis and special education. The study�s response rate is 91.8 percent. Key statistics produced from PSS 2011-12 are on the number of private schools, students, and teachers, the number of high school graduates, the length of the school year and school day.

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This system provides the user with a facility to select a state and county combination to determine if the selected county is part of an Office of Management and Budget (OMB) defined Core Based Statistical Area (CBSA). The system has been updated with OMB area definitions published for FY 2009.

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History of Economic Forecasts

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Decisions issued by the Chair and Board Members of the Departmental Appeals Board concerning determinations in discretionary, project grant programs, including disallowances, terminations and denials of refunding, cost allocation plan disapprovals, and rate determinations; determinations in mandatory grant programs, including disallowances of state claims under titles I, IV-A (Temporary Assistance for Needy Families), IV-D (Child Support Enforcement), IV-E (Foster Care and Adoption Assistance), X, XIV, XVI, XIX (Medicaid), and XXI (State Children's Health Insurance Program) of the Social Security Act; and appellate review of decisions of DAB Civil Remedies Division ALJs, decisions of Food and Drug Administration ALJs regarding civil money penalties, and decisions of Department of the Interior ALJs in Indian Health Service contract/compact cases. .

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Decrease the percentage of uninsured individuals from 17% in 2013 to 9.5% by 2019.

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This study provides a descriptive view of diagnosed physical and mental health condition prevalence and comorbidity rates among fee-for-service (FFS) Medicare-Medicaid dually enrolled beneficiaries, overall, as well as by different enrollee subpopulations and by state.

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The Form EIA-860 is a generator-level survey that collects specific information about existing and planned generators and associated environmental equipment at electric power plants with 1 megawatt or greater of combined nameplate capacity. The survey data is summarized in reports such as the [Electric Power Annual](http://www.eia.doe.gov/cneaf/electricity/epa/epa_sum.html). The survey data is also available for download here. The data are compressed into a self-extracting (.exe) zip folder containing .XLS data files and record layouts. The current file structure (starting with 2009 data) consists of a record layout, 8 data files and a copy of the applicable version of the Form EIA-860 on which the data was collected. The record layout provides a directory of all (published) data elements collected on the Form EIA-860 together with the related description, specific file location(s), and, where appropriate, explanation of codes. The data files consist of the following (substitute the applicable year for "yy" in the file name): UtylityY*yy* - Contains respondent contact information and utility-level data for the surveyed generators. PlantY*yy* - Contains plant-level data for the surveyed generators. GeneratorY*yy* - Contains generator-level data for the surveyed generators, split into three tabs. The "Exist" tab includes those generators which are currently operating, out of service or on standby; the "Prop" tab includes those generators which are planned and not yet in operation; and the "Ret_IP" tab includes those generators which were cancelled prior to completion and operation and retired generators at existing plants (does not include data for retired generators at plants at which all generators have been retired). OwnerY*yy* - Contains data on the owner and/or operator of the surveyed generators. MultiFuelY*yy* - Contains data on fuel-switching and the use of multiple fuels by surveyed generators, split into three tabs: "Exist," "Prop," and "Ret_IP." See GeneratorsYyy above for a description of the tabs. InterconnectY*yy* - Contains interconnection data for the surveyed generators. EnviroAssocY*yy* - Contains boiler association data for the environmental equipment data collected on the Form EIA-860. The "Boiler_Gen" identifies which boilers are associated with each generator; the "Boiler_Cool" tab shows which cooling systems are associated with each boiler; the "Boiler_FGD" tab shows which flue gas desulfurization (FGD) systems are associated with each boiler; the "Boiler_FGP" tab shows which flue gas particulate (FGP) collectors are associated with each boiler; and the "Boiler_SF" tab shows which stacks and flues are associated with each boiler. EnviroEquipY*yy* - Contains environmental equipment data for the surveyed generators. The "Boiler" tab collects boiler data as collected on Schedule 6, Parts B, and C of the Form EIA-860; "Control" tab contains emission data as collected on Schedule 6, Parts D and E; the "Cooling" tab collects cooling system data as collected on Schedule 6, Part F; the "FGD" tab collects FGD data as collected on Schedule 6, Part H; the "FGP" tab collects FGP data as collected on Schedule 6, Part G; and the "StackFlue" tab collects stack and flue data as collected on Schedule 6, Part I. **EIA Contact**: Vlad Dorjets, phone: 202-586-3141, e-mail: [Vlad Dorjets](mailto:Vlad.Dorjets@eia.gov)

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This dataset contains counts and rates (per 10,000 residents) of asthma (ICD9-CM, 493.0-493.9) emergency department visits among California residents by County and age group (all ages, 0-17, 18+) for 2012. The data are derived from the Office of Statewide Health Planning and Development emergency department databases. These data include emergency department visits from all licensed hospitals in California. These data are based only on primary discharge diagnosis codes (ICD9-CM). Counts are not provided when less than 5; rates are not provided where the number of events was less 12.

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DHMH's primary goals for access to care are: improve access to care; reduce preventable hospital admissions; promote community based alternative settings; increase use of DHMH resources for those in need; and reduce disparities in access to care. The metrics of key outcomes shown in this dataset directly support these primary goals. These data are provided each month by DHMH to StateStat and DoIT.

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The National Violent Death Reporting System (NVDRS) provides states and communities with a clearer understanding of violent deaths to guide local decisions about efforts to prevent violence and helps them track progress over time. To stop violent deaths, we must first understand all the facts. Created in 2002, the NVDRS is a surveillance system that pulls together data on violent deaths in 18 states (see map below), including information about homicides, such as homicides perpetrated by a intimate partner (e.g., boyfriend, girlfriend, wife, husband), child maltreatment (or child abuse) fatalities, suicides, deaths where individuals are killed by law enforcement in the line of duty, unintentional firearm injury deaths, and deaths of undetermined intent. These data are supported by WISQARS, an interactive query system that provides data on injury deaths, violent deaths, and nonfatal injuries.

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These are the official datasets used on the Medicare.gov Hospital Compare Website provided by the Centers for Medicare and Medicaid Services. These data allow you to compare the quality of care at over 4,000 Medicare-certified hospitals across the country.

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The SSM/I is a seven-channel, four frequency, linearly-polarized, passive microwave radiometric system which measures atmospheric, ocean and terrain microwave brightness temperatures at 19.35, 22.235, 37.0 and 85.5 GHz. The data are used to obtain synoptic maps of critical atmospheric, oceanographic and selected land parameters on a global scale. The SSM/I archive data set consists of antenna temperatures recorded across a 1,400 km conical scan, satellite ephemeris, earth surface positions for each pixel and instrument calibration. Electromagnetic radiation is polarized by the ambient electric field, scattered by the atmosphere and the Earth's surface and scattered and absorbed by atmospheric water vapor, oxygen, liquid water and ice. The SSM/I instrument consists of an offset parabolic reflector that is 24 x 26 inches fed by a seven- port horn antenna. The reflector and feed are mounted on a drum which contains the radiometers, digital data subsystem, mechanical scanning subsystem and power subsystem. The drum assembly rotates about the axis of the drum. A small mirror and a hot reference absorber are mounted on the assembly. The instrument sweeps a 450 cone around the satellite velocity vector so that the Earth incidence angle is always 540. Data are recorded during the 102.40 of the cone when the antenna beam intercepts the Earth's surface. The channel footprint varies with channel energy, position in the scan, along scan or along track direction and altitude of the satellite. The 85 GHz footprint is the smallest with a 13 x 15 km and the 19 GHz footprint is the largest at 43 x 69 km. Because the 85 GHz footprint is so small, it is sampled twice as often, i.e., 128 times a scan. One data cycle consists of 4 85 GHz scans and 2 scans of the 19, 22 and 37 GHz channels. The complete cycle takes 28 seconds and it must be complete to process the data. The SSM/I processor is queried once a second by onboard computer and the data are placed into the "TS SSP" data field. Data is ingested as sent from AFWA on a T-1 line. At the NOAA National Centers for Environmental Information (formerly National Geophysical Data Center), the "TS SSP" data are decommutated, deinterleaved, bit flipped, reordered and restructured into orbits beginning with the equatorial crossing as the satellite travels from south to north. Satellite ephemeris are computed using a physically-based, orbital mechanics model. SSM/I pixels are geolocated using the satellite ephemeris and satellite attitude corrections. Antenna temperatures are computed from instrumental counts by a linear equation, i.e., the conversion is reversible. In the decommutation step, we encountered bit reversals that occurred 1.8 - 3.4% of the time and are probably caused by ionospheric scintillation. These are identified through careful checking procedures and corrected. Archive files contain metadata by orbit and geolocated antenna temperatures.

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The Surgery Risk Assessment (SRA) database is part of the VA Surgical Quality Improvement Program (VASQIP). This database contains assessments of selected surgical operations performed at Veteran Affairs Medical Centers (VAMCs). Addition to the SRA database requires that the surgery is Major (as defined by the Current Procedural Terminology (CPT) codes assigned to the surgery), it must not be cardiac related, and it may not be concurrent with another surgery. Frequently performed other types of surgeries may also be excluded. Nurse reviewers at VAMCs gather the information from surgical data located in the Veterans Health Information Systems and Technology Architecture (VistA) environment. Information is also collected from pre-and post-operative charts and from interviews with patients. This information is entered into VistA and transmitted daily by a batch process to the Hines Office of Information & Technology (OI&T) Field Office. While the database has been in operation since 1995, the system only contains data for the current fiscal year. The data from previous fiscal years is archived if later retrieval is needed. Valid transmissions are sent to the VASQIP office at Denver for analysis. Information from non-assessed surgeries is transmitted from the VAMCs to the Hines OI Field Office monthly. This is also passed along to VASQIP at Denver. The users of this database include the VASQIP Executive Board.

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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 Public Land spatial data sets (shapefile) contains Public Land Survey section polygons that had mining claims recorded in the U.S. Bureau of Land Management's LR2000 database as of December 31, 2010 (from a March 1, 2011 data extraction) for the period from 1976 to 2010 in Arizona, Arkansas, California, Colorado, Florida, Idaho, Montana, Nebraska, New Mexico, Nevada, North Dakota, Oregon, South Dakota, Utah, Washington, and Wyoming. Alaska was not updated in version 4.

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In this joint demonstration project for the Tampa Bay region, NOAA's National Ocean Service (NOS) and the U.S. Geological Survey (USGS) have merged NOAA bathymetric and USGS topographic data sets into a hybrid digital elevation model (DEM) with all data initially referenced to the ellipsoid, but transformable to any of 28 orthometric, 3-D, or tidal datums.

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The NBI System is the collection of bridge inspection information and costs associated with bridge replacements of structurally deficient bridges on and off the NHS. This data is collected under the auspices of the National Bridge Inspection Standards (NBIS) as prescribed by law. The NBI System collects the information that is used to determine eligibility for NHS projects, performance measure reporting, NHS penalty determination, and reporting to Congress. It supports oversight of the NBIS through various report tools, and provides data reporting that supports agency strategic goals.