Summary

Description

On March 5, 2014, a Notice announcing revised WIC Income Eligibility Guidelines was published in the Federal Register. The adjusted income eligibility guidelines are used by State agencies in determining the income eligibility of persons applying to participate in the WIC Program. WIC State agencies must implement the new guidelines not later than July 1, 2014. WIC State agencies may implement the revised income guidelines at the same time States implement revised income eligibility guidelines for the Medicaid Program. On January 22, 2014, the U.S. Department of Health and Human Services (HHS) published its annual update of the poverty guidelines (79 FR 3593). The HHS guidelines are used by a number of Federal programs, including WIC and the Medicaid Program, as the basis for determining and updating program income eligibility limits.

Summary

Description

The State of the Climate is a collection of periodic summaries recapping climate-related occurrences on both a global and national scale. The State of the Climate Monthly Overview-National Overview summarizes observations of surface temperature and precipitation data for the United States by placing the data into historical perspective. The National Overview provides access to monthly, 3-month/seasonal, 6-month, 12-month and annual climate summaries by state, division and region. Topics include: Surface Temperature (rankings maps and time series), Precipitation (rankings maps and time series), Percent Area wet/dry cold/warm, and Primary Crop Region Maps with Season-to-Date Precipitation Time series. Additional information on current seasonal summaries for snow, fire, severe weather, and Atlantic and Pacific hurricanes, is also provided. The first annual report was presented in 1998, and monthly reports are available thereafter. Summary reports are often included with the final month of the period, for example, the spring report is issued along with May. "Year-to-date" reports are also often available for months that don't end a meteorological season.

Summary

Description

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 UTM 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.

Summary

Description

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.

Summary

Description

Contains temperature, pH, and CH4 and CO2 concentration profiles in the surface 50 cm of peat.

Summary

Description

These Deer Harvest Records show raw data for muzzleloader hunts collected from check in stations at Yazoo National Wildlife Refuge from 19972001

Summary

Description

Surface Radiation Budget (SRB) Release 3.1 longwave Daily Data in netcdf Format

Summary

Description

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 UTM 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.

Summary

Description

The Floodplain Mapping 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 Approximate 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).

Summary

Description

This data set contains data for Area Contingency Plan (ACP) sensitive sites in Southern California. Vector points in this data set represent sites identified as sensitive for biological and/or human-use resources that should be prioritized for protection during spill response activities. This data set comprises a portion of the ESI data for Southern California. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Summary

Description

The raster-based Modified Soil Adjusted Vegetation Index was derived from Landsat Thematic Mapper imagery data acquired during June 1992 for the Death Valley regional flow system. The index has been shown to increase the dynamic range of the vegetation signal while further minimizing the soil background influences, resulting in greater vegetation sensitivity as defined by a "vegetation signal" to "soil noise" ratio. The data set was used in determining phreatophyte boundaries for a ground-water evapotranspiration study and relative differences in vegetation density between discharge areas.

Summary

Description

WebPass Explorer (WebPASS Framework): USAID is partnering with DoS in the implementation of their WebPass Post Personnel (PS) Module. WebPassPS does not replace paper records or restructure the U.S. State Department's or USAID's American personnel system. PS is integrated with other State Department HR systems in order to automate the exchange of official personnel data between headquarters and posts and to provide real-time data in support of evacuation and emergencies.

Summary

Description

A form and instructions for quickly and briefly assessing a previously prior to 2013 reviewed or approved survey protocol for use as a National or Regional survey protocol framework in the National Wildlife Refuge System. The form provides a simple numeric score that indicates amount of inclusion of desired content for a survey protocol relative to the newly developed Refuge System standard see How to Develop Survey Protocols: A Handbook. A low percent value would mean that a relatively great amount of work would be needed in using the framework to develop a sitespecific survey protocol. The form also provides a section for recommending the status, how the protocol can be used, and what may need to be added to develop a sitespecific survey protocol from the framework. The latter advice is provided through written comment. The last two pages include a form for supplemental assessments conducted by others to add missed points or alternative perspectives on the protocol.

Summary

Description

These GIS data contain stream reaches that were designated as "critical habitat" for the Lower Columbia River (LCR) steelhead Evolutionarily Significant Unit (ESU). The critical habitat is defined in the National Marine Fisheries Service's (NOAA Fisheries) final rule to designate critical habitat for 12 ESUs of Pacific salmon and steelhead. The fish distribution in this data set was compiled from data gathered from the Oregon Department of Fish and Wildlife (ODFW) and the Washington Department of Fish and Wildlife (WDFW). Additionally, we received comments from the public, federal agencies, and state and tribal salmon co-managers during the rule making process. A detailed description of this process can be found in the following document: Final Assessment of NOAA Fisheries' Critical Habitat Analytical Review Teams For 12 Evolutionarily Significant Units of Pacific Salmon and Steelhead, NOAA Fisheries Protected Resources Division, 2005. - On the Washington side of the ESU we started with 1:24,000 scale fish distribution data from WDFW. On the Oregon side of the ESU we started with 1:100,000 scale enhanced fish distribution data from ODFW. The ODFW mapped fish distribution on 1:24,000 scale USGS topographic maps and transferred the data to a 1:100,000 scale hydrography layer. However, some of the streams found on a 1:24,000 scale map are not found in the 1:100,000 scale hydrography. These non-matching streams are recorded as points representing the upper extent of fish distribution. We created new stream lines for these 1:24,000 scale points. - We have excluded portions of the range of the ESU from the final designation of critical habitat. Exclusions are based on economic and other relevant impacts considered during our analysis, as described in our 4(b)(2) Report. We also excluded Indian lands and Habitat Conservation Plans (HCP). However, due to legal concerns about the disclosure of the location of HCP and Indian lands, as well as questions about the accuracy of the data, we do not identify the location of these exclusions within this data set. For exact legal descriptions of critical habitat please consult the Federal Register notice.

Summary

Description

NOAA CoastWatch provides SST data from NASA's Aqua Spacecraft. Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft.

Summary

Description

This project is to determine horizontal and vertical movement patterns of two jellyfish species in Hood Canal, in relation to environmental variables. It is being conducted by NMFS scientists in collaboration with a NOAA Hollings Scholar; we also are making use of publicly available oceanographic data from the University of Washington. We used acoustic tags and receivers to track jellyfish movement patterns and correlated their movements with oceanographic data. This project will produce peer reviewed manuscripts. The target audience is fisheries and marine resource managers in Puget Sound and along the West Coast. This is a one-time, standalone project without a firm deadline. acoustic telemetry data for lions mane and fried egg jellyfish

Summary

Description

Payment for heart attack patients measure – national data. This data set includes national-level data for payments associated with a 30-day episode of care for heart attack patients.

Summary

Description

Sablefish (Anoplopoma fimbria) have a wide distribution along the Pacific coast, extending from Baja California to Alaska, the Bering Sea and through to the eastern coast of Japan. A unique feature of these fish is the wide variation in temperature and depth that sablefish experience throughout their life cycle, extending from depths 200m as adults to the surface as larvae and juveniles. While the landed weight of sablefish in the commercial fishery is relative small, the exceptionally high value of this species ranks it 3rd in economic value to walleye pollock and Pacific cod. As such, sablefish are highly managed throughout the Pacific, and understanding the biology of this species is essential for proper management. The aim of this project is to characterize the reproductive life history of two populations of sablefish in coastal Washington and California. Fish will be collected from the same geographical location on a monthly basis for one year. The reproductive status will be determined from gonadal histology and plasma sex steroid levels, and age will be determined from otoliths. It is expected that data on size, age, rate of gonadal development, seasonal timing of spawning, fecundity, frequency of reproduction, and potential shifts in distribution of sexes will be obtained. This study applies directly to the Magnuson-Stevens Fishery Conservation and Management Reauthorization Act, because the data will be used to improve stock assessments and estimates of spawning biomass in this commercially important species. This project is a cooperation with the commercial fishing industry and scientists at the Northwest Fisheries Science Center (NWFSC) and Southwest Fisheries Science Center (SWFSC). Size, sex, gonad stage, fecundity

Summary

Description

The Center for Coastal Monitoring and Assessment (CCMA) conducted the third year of an ongoing scientific research mission on board the NOAA ship NANCY FOSTER. The purpose of this cruise is to support the benthic characterization of coral reef habitat in the U.S. Virgin Islands and Puerto Rico. The mission explored, surveyed, and mapped moderate depth bathymetry (30 – 1000 meters) with the NANCY FOSTER’s Simrad EM1002 multibeam system for natural resource management and seafloor characterization. Multibeam bathymetry and backscatter was collected along with Remotely Operated Vehicle (ROV) underwater video. Priority areas for 2006 included the deep water portion of the Buck Island Reef National Monument north of St. Croix and the La Parguera region along the southwestern coast of Puerto Rico. Additional multibeam data was collected to merge with pre-existing shallow water bathymetry from previous CCMA cruises in the Buck Island vicinity.

Summary

Description

DyMA-FM (Dynamic Multivariate Assessment for Fault Management) is a software architecture for real-time fault management. Designed to run in a distributed environment, DyMA-FM enables model-based reasoning and predictive modeling for FM applications. With the appropriate hardware, DyMA-FM can respond to signals at the device level while still placing each signals in context with the larger system and the overall mission objective. This functionality is enabled by a layered software architecture and decision-making hierarchy where each level receives signals from the level below and context from the level above. The contextual processing reduces false alarms and increases fault coverage. The distributed architecture, meanwhile, speeds processing time and reduces the burden on the communication system, enabling faster and more robust response to fault conditions. Building on our current and past experience with distributed system management and mathematical modeling, we will implement and test a prototype of the proposed software. Test data will be provided by Boeing Corporation and will consist of a representative set of signals from an actual spacecraft, collected either under actual use conditions or during a system test. Implementation will require the development of mathematical models that represent the relationships between the test signals, and this portion of the Phase I tasks will result in an analysis of the model's ability to support fault detection and management. Testing will focus on the software's fault coverage, the speed of the system responses, and the system's sensitivity to timing issues such as message lag and message collision. Results from initial tests will be reviewed, and suggested changes to the software will be documented. The final output from the project will include the system prototype, test results, and an analysis of the DyMA-FM's ability to produce superior fault coverage.

Summary

Description

The data sets are generated using the OPTECH ALTM 70 kHz LIDAR system mounted onboard AeroMap's twin-engine Cessna 320 aircraft. Classified data sets such as this one may have varying posting due to some LIDAR pulses not reaching the ground caused by data anomalies. Accuracy statements are based on areas of moderate terrain. Diminished accuracies are to be expected in areas of extreme terrain and dense vegetation. The accuracy of each point is expected to meet the vertical accuracy standard; however, derived products may be less accurate in extreme terrain and dense vegetation due to a lesser number of points defining the bare-earth in these areas. The data were QA/QC'ed but some data holidays still exist. This data represents the last return data only.

Summary

Description

This report details the responsibilities, authorization activities, and oversight findings that the Regional Operations Division (ROD) staff found regarding retailers who participate in the Supplemental Nutrition Assistance Program (SNAP). ROD staff performed front-end authorization, reauthorization, maintenance, and administration related to retailer participation, administrative sanction activities, and retailer investigations in coordination with compliance partners.

Summary

Description

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 UTM 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.

Summary

Description

This dataset portrays the boundary of the Regions as defined for the National Coal Resource Assessment Project.

Summary

Description

This feature class represents the powerline nodes (power line poles) at Pipe Spring National Monument, Arizona. The utility powerline nodes were collected by a Trimble GeoXT GPS unit with external antenna, Hurricane, and post processed in GPS Pathfinder Office 3.0 for differential corrections. This data is not to be used for measurements for digging or other land modifications projects. Utilities were not visible when this data was created, so locations are approximate.