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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 following administrative waterfowl flyway delineations that are used by states in this process. Atlantic Flyway--includes Connecticut, Delaware, Florida, Georgia, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, North Carolina, Pennsylvania, Rhode Island, South Carolina, Vermont, Virginia, and West Virginia. Mississippi Flyway--includes Alabama, Arkansas, Illinois, Indiana, Iowa, Kentucky, Louisiana, Michigan, Minnesota, Mississippi, Missouri, Ohio, Tennessee, and Wisconsin. 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). Pacific Flyway--includes Alaska, Arizona, California, Idaho, Nevada, Oregon, Utah, Washington, and those portions of Colorado, Montana, New Mexico, and Wyoming not included in the Central Flyway.

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Monthly tabulated index of the North Atlantic Oscillation (NAO) teleconnection pattern. The data spans the period 1950 to present. The index is derived from a rotated principal component analysis (RPCA) of normalized 500-hPa height anomalies from the period 1950-2000. The data source is the NCEP/NCAR Reanalysis. The resulting time series is then re-normalized to coincide with the 1981-2010 base period monthly means. The index is updated monthly. Calculating the NAO index using the RPCA approach is a somewhat complicated process, in that the NAO index is not derived independently of the other extra tropical teleconnection pattern indices.

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The Panel Study of Income Dynamics (PSID) began in 1968 with a nationally representative sample of over 18,000 individuals living in 5,000 families in the United States. Information on these individuals and their descendants has been collected continuously, including data covering employment, income, wealth, expenditures, health, marriage, childbearing, child development, philanthropy, education, and numerous other topics.

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Objective of the Current Industrial Reports (CIR) program is to produce timely, accurate data on production and shipments of selected products. The data are used to satisfy economic policy needs and for market analysis, forecasting, and decision-making in the private sector. Individual firms, trade associations, and market analysts in planning or recommending marketing and legislative strategies use the product-level data generated by these surveys extensively, particularly if their industry is significantly affected by foreign trade.

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To assist consumers purchasing new vehicles or replacement tires, NHTSA has rated more than 2,400 lines of tires, including most used on passenger cars, minivans, SUVs and light pickup trucks using a grading system known as the Uniform Tire Quality Grading System (UTQGS). UTQGS allows consumers to compare tire tread wear, traction performance and temperature resistance.

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The Continental U.S. Hurricane Strikes Poster is our most popular poster which is updated annually. The poster includes all hurricanes that affected the U.S. since 1950 with hurricane force winds, although some did not necessarily make landfall. This 32"x34" glossy poster will give you a quick look of the location and strength of each hurricane which struck the continental Unites States. The map includes the name, category strength, year, and approximate strike location of each hurricane.

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GAP distribution models represent the areas where species are predicted to occur based on habitat associations. GAP distribution models are the spatial arrangement of environments suitable for occupation by a species. In other words, a species distribution is created using a deductive model to predict areas suitable for occupation within a species range. To represent these suitable environments, GAP compiled existing GAP data, where available, and compiled additional data where needed. Existing data sources were the Southwest Regional Gap Analysis Project (SWReGAP) and the Southeast Gap Analysis Project (SEGAP) as well as a data compiled by Sanborn Solutions and Mason, Bruce and Girard. Habitat associations were based on land cover data of ecological systems and--when applicable for the given taxon--on ancillary variables such as elevation, hydrologic characteristics, human avoidance characteristics, forest edge, ecotone widths, etc. Distribution models were generated using a python script that selects model variables based on literature cited information stored in a wildlife habitat relationship database (WHRdb); literature used includes primary and gray publications. Distribution models are 30 meter raster data and delimited by GAP species ranges. Distribution model data were attributed with information regarding seasonal use based on GAP regional projects (NWGAP, SWReGAP, SEGAP, AKGAP, HIGAP, PRGAP, and USVIGAP), NatureServe data, and IUCN data. A full report documenting the parameters used in each species model can be found via: http://gis1.usgs.gov/csas/gap/viewer/species/Map.aspx Web map services for species distribution models can be accessed from: http://gis1.usgs.gov/arcgis/rest/services/NAT_Species_Birds http://gis1.usgs.gov/arcgis/rest/services/NAT_Species_Mammals http://gis1.usgs.gov/arcgis/rest/services/NAT_Species_Amphibians http://gis1.usgs.gov/arcgis/rest/services/NAT_Species_Reptiles A table listing all of GAP's available web map services can be found here: http://gapanalysis.usgs.gov/species/data/web-map-services/ GAP used the best information available to create these species distribution models; however GAP seeks to improve and update these data as new information becomes available. Recommended citation: U.S. Geological Survey Gap Analysis Program (USGS-GAP). [Year]. National Species Distribution Models. Available: http://gapanalysis.usgs.gov. Accessed [date]. Online references: U.S. Geological Survey Gap Analysis Program: http://gapanalysis.usgs.gov Northwest Gap Analysis Project: http://gap.uidaho.edu Southwest Regional Gap Analysis Project: http://swregap.nmsu.edu/HabitatModels/default.htm Southeast Gap Analysis Project: http://www.basic.ncsu.edu/segap Alaska Gap Analysis Project: http://aknhp.uaa.alaska.edu/zoology/akgap Hawaii Gap Analysis Project: ftp://ftp.gap.uidaho.edu/products/Hawaii.zip Puerto Rico Gap Analysis Project: http://prgap.org U.S. Virgin Islands Gap Analysis Project: http://prgap.org

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The "Medicare hospital spending per patient (Medicare Spending per Beneficiary)" measure shows whether Medicare spends more, less or about the same per Medicare patient treated in a specific hospital, compared to how much Medicare spends per patient nationally. This measure includes any Medicare Part A and Part B payments made for services provided to a patient during the 3 days prior to the hospital stay, during the stay, and during the 30 days after discharge from the hospital. The numbers displayed here are: 1) the average MSPB measure for the nation; and 2) the national episode-weighted median MSPB amount used as the denominator in the calculation of each hospital's MSPB measure.

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This map layer shows tornado touchdown points in the United States, Puerto Rico, and the U.S. Virgin Islands, from 1950 to 2004. Statistical data were obtained from the National Weather Service, Storm Prediction Center (SPC). The SPC data originate from the Severe Thunderstorm Database and the National Oceanic and Atmospheric Administration (NOAA) Storm Data publication.

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Demographic data on U.S. commercial nuclear power reactors, including: plant name/unit number, docket number, location, licensee, reactor/containment type, nuclear steam system supplier/design, architect-engineer, constructor, important dates, capacities,

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The Veterans Affairs Surgical Quality Improvement Program (VASQIP) database resides in the VA National Surgery Office (NSO) and is a quality assurance activity-derived database containing information on all patients who undergo surgery within the VA. The primary purpose of this database is to improve the quality of care for Veterans undergoing surgery by providing information to care provider teams for self-assessment and quality improvement purposes. Data for the VASQIP database are entered by nurse data managers using Veterans Health Information Systems and Technology Architecture (VistA) at the VA surgical facilities. These data captured in VistA are securely transmitted to the VASQIP database for compilation and analysis. Results of the data analysis are reported from the National Surgery Office (NSO) for quarterly and annual review of surgical quality and patient care issues; these data are confidential and privileged under the provisions of 38 U.S.C. 5705 and its implementing regulations. Note: In 2009, the Cardiac Specialty program (Continuous Improvement in Cardiac Surgery Program (CICSP)) was merged with the National Surgical Quality Improvement Program (NSQIP) for a comprehensive all-specialty surgical database, VASQIP. It employs both Microsoft SQL Server and Statistical Analysis Software implementation.

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Living HIV and AIDS cases by gender, race/ethnicity, current age group, and exposure category in California, 2012. Table includes all persons living with HIV or AIDS whose last known residence is in California (regardless of state of diagnosis). Living status, current age group and HIV status (HIV or AIDS) are as of December 31, 2012, using data reported by December 31, 2013. AIDS is diagnosed when the immune system of a person infected with HIV becomes severely compromised, which is identified either by low CD4 cell count (<200 cells/µL) or the person becomes ill with an AIDS-defining opportunistic infection or illness. Rates per 100,000 persons are based on population estimates from the California Department of Finance. Dash (-) indicates the rates could not be calculated due to unknown population denominators. Gender is determined by both current gender and sex at birth variables; transgender values are assigned when current gender is identified as "Transgender" or when a discrepancy is identified between a person's sex at birth and their current gender (e.g., cases where sex at birth is "Male" and current gender is "Female" will become Transgender: Male to Female.) Prior to 2003, Asian and Native Hawaiian/Pacific Islanders were classified as one combined group. In order to present these race/ethnicities separately, living cases recorded under this combined classification were split and redistributed according to their expected proportional population representation estimated from post-2003 data.

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The Aerometric Information Retrieval System/AIRS Facility Subsystem (AIRS/AFS) is a database that provides information on air releases from various stationary sources. It is available through EnviroFacts.

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This collections covers Panther Swamp National Wildlife Refuges hunting plan and memos specifically Mike Espy between the refuge on the local community. The local community expressed distress as Panther Swamp altered their hunting regulations to increase average buck age and doe fertility. The hunting plan provides guidelines for the administration of hunting activity and for the development, maintenance, and enforcement of regulations and guidelines on Panther Swamp. It specifically addresses the areas of information, access, use patterns, regulations, area restrictions, permits, and enforcement. Target species include small game, big game, and migratory species.

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This map layer portrays major dams of the United States, including Puerto Rico and the U.S. Virgin Islands. The map layer was created by extracting dams 50 feet or more in height, or with a normal storage capacity of 5,000 acre-feet or more, or with a maximum storage capacity of 25,000 acre-feet or more, from the 79,777 dams in the U.S. Army Corps of Engineers National Inventory of Dams. This is a replacement for the April 1994 map layer.

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Look up of civil war soldier and sailor records

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This link provides a temporary method of accessing SAMHSA datasets that are found on the interactive portion of the Data.gov catalog. This is a temporary solution until policy issues regarding federation are addressed. This template with metadata and link are being entered by the Data.gov PMO so that these datasets can be included in a limited fashion through a filtered list until the federation issues can be resolved.

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Quality Controlled Local Climatological Data (QCLCD) contains summaries from major airport weather stations that include a daily account of temperature extremes, degree days, precipitation amounts and winds. Also included are the hourly precipitation amounts and abbreviated 3-hourly weather observations. The source data is global hourly (DSI 3505) which includes a number of quality control checks. The local climatological data annual file is produced from the National Weather Service (NWS) first and second order stations. The monthly summaries include maximum, minimum, and average temperature, temperature departure from normal, dew point temperature, average station pressure, ceiling, visibility, weather type, wet bulb temperature, relative humidity, degree days (heating and cooling), daily precipitation, average wind speed, fastest wind speed/direction, sky cover, and occurrences of sunshine, snowfall and snow depth. The annual summary with comparative data contains monthly and annual averages of the above basic climatological data in the meteorological data for the current year section, a table of the normals, means, and extremes of these same data, and sequential table of monthly and annual values of average temperature, total precipitation, total snowfall, and total degree days. Also included is a station location table showing in detail a history of, and relative information about, changes in the locations and exposure of instruments.

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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. ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data from Census 2000. The Census Bureau creates ZCTAs for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands for the 2010 Census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. For the 2010 Census, ZCTAs should more accurately represent the actual ZIP Codes at the time of their delineation than they did for Census 2000. This is because that before the tabulation blocks, which the ZCTAs are built from, were delineated for the 2010 Census, the Census Bureau undertook the process of inserting lines that could be used as 2010 Census tabulation block boundaries, and these lines split polygons where the result would be that a significant number of addresses would occur on either one or both sides of the line associated with a single ZIP Code. Each 2010 Census tabulation block that contains addresses is assigned to a single ZCTA, usually to the ZCTA that reflects the most frequently occurring ZIP Code for the addresses within that tabulation block. As a result, ZIP Codes associated with address ranges found in the Address Ranges relationship file may not always match the ZCTA. Blocks that do not contain addresses but are completely surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. A ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks were it exists. The Census Bureau uses the addresses stored within MTDB to delineate ZCTAs, and at the time of the 2010 Census the MTDB primarily included addresses for residential or at least potentially residential structures, so ZCTAs representing only non-residential structures are infrequent. Also, in each tabulation block, if a choice existed between using a potential city-style mail delivery ZIP Code for an address or a post office box ZIP Code, the city-style mail delivery ZIP Code was preferred for the 2010 Census ZCTA delineation. The Census Bureau identifies 5-digit ZCTAs using a five-character numeric code that represents the most frequently occurring USPS ZIP Code within that ZCTA, and this code may contain leading zeros.

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The FCC TV Query should be used to generate lists and/or retrieve information about television broadcast stations. It provides an official listing of all TV Channels.

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The Residential Energy Consumption Survey (RECS) is a national area-probability sample survey that collects energy-related data for occupied primary housing units. First conducted in 1978, the 2005 version is the 12th RECS. The survey collected data from 4,382 households sampled at random using a complex multistage, area-probability design to represent 111.1 million U.S. households, the Census Bureau's statistical estimate for all occupied housing units in 2005. Data were obtained from residential energy suppliers for each unit in the sample to produce the Consumption & Expenditures data.

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The compendium contains figures and tables presenting data on all Medicare- and Medicaid-certified nursing homes in the United States as well as the residents in these nursing homes. A series of graphs and maps highlights some of the most interesting data, while detailed data are available in accompanying tables.

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This high-resolution sea surface temperature (SST) analysis product was developed using an optimum interpolation (OI) technique. The SST analysis has a spatial grid resolution of 0.25 degree and temporal resolution of 1 day. The product uses Advanced Very High Resolution Radiometer (AVHRR) satellite data from the Pathfinder AVHRR SST dataset when available for September 1981 through December 2005, and the operational Navy AVHRR SST data for 2006 to the present day. Pathfinder AVHRR SST was chosen because of good agreement with the in situ observation data. The product also uses sea ice datasets, in situ data from ships and buoys, and includes a large-scale adjustment of satellite biases with respect to the in situ data. In areas where sea ice is present, SST is estimated from sea ice concentration datasets from NASA GSFC before 2005 and then from NOAA NCEP from 2005 onwards. Preliminary products are produced daily in near real-time (1-day latency) and may be updated in the first few days if critical input data become available after the initial production time. After two weeks, a complete or final product is generated with no additional changes expected. The preliminary products from near real-time data productions began in October 2008 for Version 2.0. The product is in netCDF-3 following the Climate and Forecast (CF) Conventions, and is accompanied by algorithm documentation, data flow diagram and source code under the NOAA CDR Program.

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This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

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The NHPN (NTAD 2015) is a Geographical Information System (GIS) database that contains line features representing over 450,000 miles of current and planned highways in the United States, including the National Highway System (NHS), the Strategic Highway Network (STRANET), and rural minor arterial. The current NHPN contains a set of data attributes that are suited to analytical modelling of large-scale transportation activities.