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The GSA Subcontracting Directory list large prime contractors who, by law, are required to establish plans and goals for subcontracting with small business firms.

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The Medicaid Analytic eXtract Chartbooks are research tools and reference guides on Medicaid enrollees and their Medicaid experience in 2002 and 2004. Developed for state Medicaid directors, policymakers, researchers, and others interested in the Medicaid program, the chartbooks consists of illustrative graphs, descriptive text, and an extensive data appendix with summary national- and state-level information on enrollee demographic and eligibility characteristics, Medicaid service use, and Medicaid expenditures in 2002 and 2004. The chartbooks summarize the Medicaid program and the MAX data system. They also present figures and tables that reflect the Medicaid population in 2002 and 2004. Chapter 2 profiles Medicaid enrollees and their Medicaid experience nationally, Chapter 3 presents state-level detail, and Chapters 4 through 6 provide supplementary information on special topic areas, including managed care, dual Medicare and Medicaid enrollees, and service use and expenditures by detailed type of service. An appendix contains source data tables for Chapters 3 through 6. The MAX Chartbooks, in PDF format, and their associated appendix tables, as zipped Excel files, can be downloaded.

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This dataset contains the annual summation of employee hours and coal production reported by mine operators where the average quarterly employment is greater than zero with grouping by calendar year, subunit code and mine ID beginning with 1/1/2000. The subunit code identifies the location or operation of the mine relating to the: (01) Underground; (02) Surface at underground; (03) Strip, quarry, open pit; (04) Auger; (05) Culm bank/refuse pile; (06) Dredge; (12) Other mining; (17) Independent shops or yards; (30) Mill operation/preparation plant; (99) Office workers at mine site.

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Annual data on the number of electricity retail customers. Organized by U.S. state and by sector, i.e., residential, commercial, industrial, and transportation. Annual time series extend back to 1990. Based on EIA Form-861 data.

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Available services within each medical center.

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e-QIP is a web-based automated system that was designed to facilitate the processing of standard investigative forms used when conducting background investigations for Federal security, suitability, fitness and credentialing purposes. e-QIP allows the user to electronically enter, update and transmit their personal investigative data over a secure internet connection to a requesting agency.

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There are three tasks associated with this delivery order: Task 1: Elevations of the Low Steel for bridge superstructures on the following rivers: St. Croix between river miles 0 - 24 (05 bridges) Mississippi between river miles 634 - 858 (39 bridges) Minnesota between river miles 1 - 15 (05 bridges) Black between river miles 1 - 2 (01 bridges) Total =50 Task 2: Elevations of the Lowest Sag Point of Overhead cables and extents/locations of supporting pylons on the following rivers: St. Croix between river miles 8 - 22 (04 O/H Cables) Mississippi between river miles 678 - 858 (26 O/H Cables) Minnesota between river miles 0 - 15 (09 O/H Cables) Black between river miles 0 - 1 (01 O/H Cables) Total = 40 Task 3: Collection of Navigation features and RAW Point Cloud of specified Lock and Dams on the following river: Mississippi between river miles 615 - 854 (13 Lock & Dams) The navigation features to be collected are Lock Guidewall, Lock Chamber and Lock Gates. Additionally, the RAW point cloud shall be collected for all accessible areas of the specified Lock and Dams. The total number of structures is 103. See attachment A for a detailed list of structures.

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The TruckeeCarsonPyramid Lake Water Rights Settlement Act Public Law 1 0 1618 directs the Secretary of the Interior to acquire enough water and water rights to sustain, on a longterm average, approximately 25,000 acres of primary wetland habitat in the Lahontan Valley. This FEIS describes and evaluates a Proposed Action and three action alternatives for accomplishing this objective; a No Action Alternative also is addressed. The five alternatives are 1 No Action Alternative, which includes the acquisition of 20,000 acrefeet AF of water rights from within the Carson Division of the Newlands Project; 2 Proposed Action, which proposes the acquisition of up to 122,000 AF of water rights; 3 Least Cost Alternative, which would result in the acquisition of up to 100,000 AF of water rights; 4 Maximum Acquisition Alternative, which would result in up to 133,500 AF being acquired; and 5 the Services Preferred Alternative, which would result in a the acquisition of up to 75,000 AF of water rights in the Carson Division, b leasing of water, c acquisition of water rights from the Middle Carson River corridor, d use of conserved U.S, Navy water as available, and e pumping of groundwater. This FEIS evaluates the alternatives relative to their potential effects on: 1 Newlands Project operations and infrastructure; 2 water resources; 3 biological resources; 4 regional agriculture, farmlands, and the local economy; 5 regional recreation; 6 land use; and 7 social values. Estimated acquisition costs are also disclosed.

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To aid in better understanding the temperature and precipitation data of the spatially variable climate of Alaska and Northwest Canada, this dataset was created via statistical downscaling methods so that hydrologists and other users would have access to gridded estimates (two km resolution) of cumulative precipitation and mean temperature for every month between 1961 and 2009 in Alaska, Yukon Territory, and British Columbia.

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<p>Documentation and Development: The AMP was initially being developed as part the Advanced Integrated Clinical System (AICS)-Guided Medical Procedure System for the Constellation Program. The Exploration Medical Capability (ExMC) team generated an Operational Concept (OpsCon) document and, subsequently, a set of functional and technical requirements. All of these documents were reviewed and approved by the Johnson Space Center Space Medicine Configuration Control Board in 2009 and 2010, respectively. These documents were then archived when the Constellation Program was canceled in 2010.</p><p> </p><p>Fiscal Year 2012 (FY12) brought the start of the EMSD project and the initial development of the AMP. ExMC generated a new OpsCon document for the AMP to reflect how it would be used for the EMSD. This document was approved by the ExMC Advisory Board and then used to generate functional and technical requirements. These requirements were reviewed by the ExMC Advisory Board and during the EMSD’s System Requirements Review in March 2012. The ExMC Team then used the finalized requirements to determine that a product made by software developers within NASA was applicable. The product, a system called WebPD, has architecture relevant to the EMSD project and is being modified for integration with potential EMSD components. The approach for modifying and integrating the AMP into the EMSD was finalized during the EMSD Preliminary Design Review in June 2013. The AMP, along with other EMSD components, is being prepared for the ground phase of the EMSD, which is currently set for June 2014.</p><p> </p><p>Conclusion: The work by the ExMC team over the past year has enabled them to (1) identify a software system that can be modified to become the AMP system for the EMSD and (2) begin modifying the AMP for integration with other EMSD components. This work immediately addresses CPR Risks #17 and #23 and enables ExMC to better address CPR Risks #17, #20, #22, and #23 in the coming fiscal year.</p><p> </p><p>The objectives for FY14 are to (1) generate the first iteration of the AMP and (2) conduct an evaluation of this AMP’s capability in an analog environment that mimics an exploration-class mission.</p><p> </p>

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The USGS Ferromanganese Crust data set was compiled by F.T. Manheim and C.M. Lane-Bostwick of the U.S. Geological Survey, Woods Hole, MA. The data set consists of tables corresponding the USGS Open-File Report 89-020 "Chemical Composition of Ferromanganese Crusts in the World Oceans: A Review and Comprehensive Database." Data include excerpts from the SIO nodule file, the NOAA and MMS marine minerals data base, Japanese sources, a Ph.D. thesis, analyses performed at the Bureau of Mines, and analyses performed at other laboratories under the direction of the USGS. These data are also included on the NOAA and MMS Marine Minerals CD-ROM data set released by the former National Geophysical Data Center (now NOAA's National Centers for Environmental Information) in October of 1992. The USGS crust are also available for download from NCEI's Web site.

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This is AIRS-CloudSat collocated subset, in NetCDF 4 format. These data contain collocated: AIRS Level 1b radiances spectra, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple "A-train" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each "scene" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time "matchups" between pairs of instruments, and process years of satellite data to produce the climate data records. The short name for this collection is AIRS_CPR_MAT Parameters contained in the data files include the following: Variable Name|Description|Units CldFrcStdErr|Cloud Fraction|(None) CloudLayers| Number of hydrometeor layers| (count) CPR_Cloud_mask| CPR Cloud Mask| (None) DEM_elevation| Digital Elevation Map| (m) dust_flag|Dust Flag|(None) latAIRS|AIRS IR latitude|(deg) Latitude|CloudSat Latitude |(degrees) LayerBase| Height of Layer Base| (m) LayerTop| Height of layer top| (m) lonAIRS|AIRS IR longitude|(deg) Longitude|CloudSat Longitude| (degrees) MODIS_cloud_flag| MOD35_bit_2and3_cloud_flag| (None) Radar_Reflectivity| Radar Reflectivity Factor| (dBZe) radiances|Radiances|(milliWatts/m**2/cm**-1/steradian) Sigma-Zero| Sigma-Zero| (dB*100) spectral_clear_indicator|Spectral Clear Indicator|(None) Vertical_binsize|CloudSat vertical binsize| (m) End of parameter information

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The Global Historical Tsunami Database provides information on over 2,400 tsunamis from 2100 BC to the present in the the Atlantic, Indian, and Pacific Oceans; and the Mediterranean and Caribbean Seas. The database includes two related files. The first file includes information on the tsunami source such as the date, time, and location of the source event; cause and validity of the source, tsunami magnitude and intensity; maximum water height; the total number of fatalities, injuries, houses destroyed, and houses damaged; and total damage estimate (in U.S. dollars). The second related file contains information on the runups (the locations where tsunami waves were observed by eyewitnesses, reconnaissance surveys, tide gauges, and deep-ocean sensors) such as name, location, arrival time, maximum water height and inundation distance, and socio-economic data (deaths, injuries, damage) for the specific runup location.

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This dataset contains the cumulative number of deaths, average number of deaths annually, average annual crude and adjusted death rates with corresponding 95% confidence intervals, and average annual years of potential life lost per 100,000 residents aged 75 and younger due to selected causes of death, by Chicago community area, for the years 2006 – 2010. A ranking for each measure is also provided, with the highest value indicated with a ranking of 1. See the full description at: https://data.cityofchicago.org/api/views/6vw3-8p6f/files/CqPqfHSv8UUAoXC...\EPI\OEPHI\MATERIALS\REFERENCES\MORTALITY\Dataset_Description_06_10_PORTAL_ONLY.pdf

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A nationwide survey that collects information such as age, race, income, commute time to work, home value, veteran status, and other data. Data from the American Community Survey and the Puerto Rico Community Survey were collected during calendar years 2009-2013. Data available for small geographies. Census tract and block group data are available in another dataset.

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<p> Promote and encourage process and workflow reuse  within NASA Earth eXchange (NEX) by developing a proactive recommendation technology based on collective NEX user behaviors.<br /> Leverage social network analysis to intelligently extract hidden knowledge from a shared computing platform<br /> Extend our understanding of Earth science workflow interoperability and composition<br /> Provide a recommend-as-you-go workflow development environment<br /> Allow Earth science community to make more effective use of computational resources<br /> Enable more virtual collaboration through workflow reuse</p>

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The Emergency Shelter Grants (ESG) program is designed to identify sheltered and unsheltered homeless persons, as well as those at risk of homelessness, and provide the services necessary to help those persons quickly regain stability in permanent housing after experiencing a housing crisis and/or homelessness. The ESG is a non-competitive formula grant awarded to recipients which are state governments, large cities, urban counties, and U.S. territories. Recipients make these funds available to eligible sub-recipients, which can be either local government agencies or private nonprofit organizations. The recipient agencies and organizations, which actually run the homeless assistance projects, apply for ESG funds to the governmental grantee, and not directly to HUD.

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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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This raw data set provides the actual number of personnel actions ("Transfer-Ins" and "New Hires") that have taken place within a Fiscal Year. The scope of this raw data set includes all data elements used in the creation of the FedScope Accessions Cube (http://www.fedscope.opm.gov/). The following workforce characteristics are available for analysis: Accession, Date, Agency, Age (5 year interval), Gender, GS & Equivalent Grade, Length of Service (5 year interval), State/Country, Occupation, Occupation Category, Pay Plan & Grade, Salary Level ($10,000 interval), Type of Appointment, Work Schedule, Count, Average Salary, and Average Length of Service. Starting in FY 2010, the OPM Enterprise Human Resources Integration-Statistical Data Mart (EHRI-SDM) is the source for all FedScope data. Data is processed on a quarterly basis (i.e. March, June, September and December).

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We propose a next-generation cloud-based social media visual analytics disaster response system that will enable decision-makers and first-responders to obtain real-time analytics (both descriptive and predictive) for situational awareness and early-warning. Social media sites like Twitter and Facebook provide rapid "sensory" feedback from "human sensors" – the millions of people on the ground including those affected by the disaster as well as hundreds of first-responders and relief organizations. The problem is that this social media data can be overwhelming and noisy (lots of irrelevant stuff). Our proposed innovation is to combine and analyze this social media unstructured "big-data", together with other structured data from a variety of sources including NASA. The emphasis is on visual analytics which will allow all these diverse geospatial data to be integrated and analyzed on a real-time basis in an intuitive manner. We utilize geobrowsers such as COAST, Google Earth, and OpenStreetMap for display of the output of the visual analytics prediction system. This is an interactive system which enables the relevant users and decision-makers to provide input to the analytics process as the solution evolves.

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A joint venture involving the National Atlas programs in Canada (Natural Resources Canada), Mexico (Instituto Nacional de Estadística Geografía e Informática), and the United States (U.S. Geological Survey), as well as the North American Commission for Environmental Co-operation, has led to the release (June 2004) of several new products: an updated paper map of North America, and its associated geospatial data sets and their metadata. These data sets are available online from each of the partner countries both for visualization and download. The North American Atlas data are standardized geospatial data sets at 1:10,000,000 scale. A variety of basic data layers (e.g. roads, railroads, populated places, political boundaries, hydrography, bathymetry, sea ice and glaciers) have been integrated so that their relative positions are correct. This collection of data sets forms a base with which other North American thematic data may be integrated. Any data outside of Canada, Mexico, and the United States of America included in the North American Atlas data sets is strictly to complete the context of the data. The North American Atlas - Glaciers data set shows areas of permanent ice found on the North America landmass including Greenland, and also shows areas of land found within glaciers. No distinction is made between major glaciers, ice fields, and the Greenland ice cap. The only permanent ice shown on land areas outside of North America and Greenland is on Iceland.

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These are the official datasets used on the Medicare.gov Nursing Home Compare Website provided by the Centers for Medicare and Medicaid Services. These data allow you to compare the quality of care at every Medicare and Medicaid-certified nursing home in the country, including over 15,000 nationwide.

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A collection of over 75 charts and maps presenting key statistics on the farm sector, food spending and prices, food security, rural communities, the interaction of agriculture and natural resources, and more. How much do you know about food and agriculture? What about rural America or conservation? ERS has assembled more than 75 charts and maps covering key information about the farm and food sectors, including agricultural markets and trade, farm income, food prices and consumption, food security, rural economies, and the interaction of agriculture and natural resources. How much, for example, do agriculture and related industries contribute to U.S. gross domestic product? Which commodities are the leading agricultural exports? How much of the food dollar goes to farmers? How do job earnings in rural areas compare with metro areas? How much of the Nation’s water is used by agriculture? These are among the statistics covered in this collection of charts and maps—with accompanying text—divided into the nine section titles.

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This Light Detection and Ranging (LiDAR) dataset is a survey of northern San Francisco Bay, California. The project area consists of approximately 437 square miles in portions of seven California counties: Alameda, Contra Costa, Marin, Napa, San Francisco, Solano, and Sonoma. The project design of the LiDAR data acquisition was developed to support a nominal post spacing of 1 meter. Fugro EarthData, Inc. acquired 147 flight lines in nine lifts on February 25, 26, and 28; March 1, 24, and 26; and April 3, 15, and 16, 2010. The data was divided into 1500 by 1500 meter cells that serve as the tiling scheme. LiDAR data collection was performed with a Piper Navajo twin engine aircraft, utilizing a Leica ALS60 MPiA sensor, collecting multiple return x, y, and z as well as intensity data. LiDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. This data of northern San Francisco Bay, California, is classified according to the ASPRS classification scheme and was collected at sufficient resolution to provide a nominal point spacing of 1 m for collected points. Up to 4 returns were recorded for each pulse in addition to an intensity value.

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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 1996 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