Summary

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This narrative report for Tewaukon National Wildlife Refuge summarizes refuge activities from January through April of 1957. The report begins with a summary of the weather and water conditions during this period. Qualitative and quantitative observations are documented for fish and wildlife including migratory birds, upland game birds, big game animals, fur animals, predators, rodents, other mammals and predacious birds. The report includes a refuge development and maintenance section which discusses physical development, plantings, collections and receipts of seed. A section on economic use of refuge is included in the report. The public relations section of the report explains: recreational uses, refuge visitors, refuge participation, hunting and violations. The report also reviews other items of interest and includes photographs. Narrative report forms for species and population information in the refuge are provided. This report describes easement refuges for District 5A, which include Lake Elsie, Storm Lake and Wild Rice Lake.

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This data set contains sensitive biological resource data for marine, estuarine, anadromous, and freshwater fish species in Northern California. Vector polygons in this data set represent fish distribution, concentration areas, nursery areas, and salmon/trout spawning runs. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Northern 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. See also the FISHL (Fish Lines) data layer, part of the larger Northern California ESI database, for additional fish information.

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This point file displays the 500 accuracy assessment (AA) points visited in July and August of 2004 as part of the vegetation mapping project. Five hundred and one accuracy assessment points were created for COLM (2 were inaccessible) by Keith Landgraf and Steve Blauer of the USGS-RMMC. The points were randomly selected, stratified by the map units used for vegetation mapping and further screened so as not to fall on inaccessible isolated mesa tops and vertical canyon walls. The coordinates were uploaded to Garmin hand-held GPS receivers so that ecologists could navigate to them in the field. Some AA points fell on ecotones and two sets of data were recorded on the evenly-split site. AA points that fell along polygon edges sometimes did not represent the entire polygon well and some AA points fell on small patches of vegetation that were different than the community in the larger area. Many recently dead Pinus edulis trees were present on the landscape and would appear on the 2002 aerial photos as living. Notes were taken to support these observations during the AA point evaluation phase of the project. For all AA data collection, whenever an unknown species was encountered, a sample was collected and keyed to accurately establish its identity. In addition to collecting vegetation data, photographs were taken at each location visited -- approximately 1,000 images were acquired to illustrate the AA sites visited.

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This data set contains sensitive biological resource data for whales, porpoises, dolphins, manatees, and pinnipeds in North Carolina. Vector polygons in this data set represent marine mammal distribution, concentration areas, and haul-out sites. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for North Carolina. 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.

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Marsh and water management activities have been conducted for nearly thirty years at Back Bay NWR. Annual programs were submitted for many years. In the early 1970s the management effort was deemphasized due to the shift to administration of the Motor Vehicle Access Permit Program. In the early 1970s when annual programs were nonexistent, managers apparently carried out water level manipulations and management activities based on the memories and knowledge of the staff maintenance. In 1985 an annual program was prepared which basically outlined the current management regime. The 1985 program was generally followed during 1986 1988. During that time, slight changes in the management effort occurred. The reasoning for the changes was to provide managers with information from which they could improve the program. Based on this experience and a renewed desire to improve marsh and water management efforts at Back Bay NWR, the Marsh and Water Management Plan was totally revised during FY 88. This program is the first annual program proposed within the framework of the new plan.

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This Comprehensive Conservation Plan CCP was written to guide management on Koyukuk, Northern Unit Innoko, and Nowitna NWRs for the next 15 years. This plan outlines the refuges vision and purpose and describes how Koyukuk, Northern Unit Innoko, and Nowitna NWRs will contribute to the overall mission of the Refuge System. The plan provides an introduction to the refuges, an overview of the CCP process, a summary of refuge resources, goals and objectives, information about the management direction, and strategies for implementation and monitoring. Key planning issues include: wildlife management, oil activity, climate change, wilderness character, public use, and outreach.

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These data were collected by the SHOALS-1000T(Scanning Hydrographic Operational Airborne Lidar Survey)system which consists of an airborne laser transmitter/receiver with a 1kHz. bathymetric laser and a10 kHz topographic laser. The system was operated from a Beechcraft King Air 90aircraft. Data were collected with the bathymetric laser while flying at altitudes of about 400 meters and a groundspeed of about 124 knots. The topographic laser data was collected at altitudes of about 700 m and a groundspeed of 150 kts. One KGPS base stations was used during processing of the dataset. The SHOALS system includes a ground-based data processing system for calculating accurate horizontal position and water depth / elevation. LIDAR is an acronym for LIght Detection And Ranging. The system operates by emitting a pulse of light that travels from an airborne platform to the water surface where a small portion of the laser energy is backscattered to the airborne receiver. The remaining energy at the water’s surface propagates through the water column and reflects off the sea bottom and back to the airborne detector. The time difference between the surface return and the bottom return corresponds to water depth. The maximum depth the system is able to sense is related to the complex interaction of radiance of bottom material, incident sunangle and intensity, and the type and quantity of organics or sediments in the water column. As a rule-of-thumb, the SHOALS 1000 system is capable of sensing bottom to depths equal to two or three times the Secchi depth. Bathymetric soundings are gridded in this dataset.

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1. The purpose of this project is to collect, report, and analyze catch and biological information from the commercial west coast trawl catch share fishery. This fishery requires 100% observer coverage. 2. The project is a collaboration between NOAA Fisheries and Pacific States Marine Fisheries Commission (PSMFC). 3. We place observers on commercial fishing vessels that participate in the catch share fishery to collect data on catch and to collect biological data. After collection, data will be quality controlled and then used to produce reports on fishery specific catch of species and mortality of groundfish species. 4. There are many products of this project, including yearly reporting of fishery catch, GIS maps of effort and catch, mortality of groundfish, bycatch of halibut and protected species, and to write manuscripts. 5. The primary management audience is the Pacific Fisheries Management Council (PFMC). However, this data is highly sought after by researchers. 6. On-going project. 7. Stand-alone project. 8. We have many deadlines throughout the year from management, scientific, regional, industry, and other users of observer data and observer data analyzes. Fishery dependent data collected in the shoreside and MSCV catch share sectors. This data set includes the raw observer catch data

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This collection of bathymetric contour maps which represent the seafloor topography includes over 400 individual titles and covers US offshore areas including Hawaii and Alaska. Most titles are available in full color while some titles are available only in black/white. Maps are available as paper copy, scanned images on CD and scanned images downloadable from NGDC's web site. These maps/images are not to be used for navigational purposes.

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Fish survey, fishing duration, and other data were collected from beach seines and other gear in the Beaufort Sea from 16 June 1977 to 24 September 1978. Data were collected by Alaska Research Associates INC. and LGL LTD. as part of Outer Continental Shelf Environmental Assessment Program (OCSEAP). Data were processed by NODC to the NODC F123 Fish/Shellfish Surveys format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/f123.html. An analog file for this accession is available from NODC user services. The F123 format is used for data from field sampling of marine fish and shellfish. The data derive from analysis of midwater or bottom tow catches and provide information on population density and distribution. Cruise information, position, date, time, gear type, fishing distance and duration, and number of hauls are reported for each survey. Environmental data may include meteorological conditions, surface and bottom temperature and salinity, and current direction and speed. Bottom trawl or other gear dimensions and characteristics are also reported. Catch statistics (e.g., weight, volume, number of fish per unit volume) may be reported for both total haul and for individual species. Biological characteristics of selected specimens, predator/ prey information (from stomach contents analysis), and growth data may also be included. A text record is available for comment.

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Gravesite locations of Veterans and beneficiaries in MAINE, as of July 2015.

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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 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 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.

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 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.

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 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 1:12,000.

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Description

This data set represents the average population density, in number of people per square kilometer multiplied by 10 for the year 2000, compiled for every catchment of NHDPlus for the conterminous United States. The source data set is the 2000 Population Density by Block Group for the Conterminous United States (Hitt, 2003). The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as "the New England Method." This technique involves "burning in" the 1:100,000-scale NHD and when available building "walls" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.

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Description

Development of highly accurate tools to predict aerothermal environments and associated effects on vehicles is needed to enable advanced spacecraft for future NASA missions. At heating rates encountered during hypersonic reentry, the surface is ablating and the interaction of ablation products blowing into the boundary layer induces new interactions (chemical reactions, radiation absorption) that have strong impacts on surface heating rates and integrated heat loads. One important effect of the reentry phenomenon is the interaction of the ablated debris with the atmospheric gas molecules and vehicle surface. Even though the ablated debris may include particles ranging from the micron-scale down to the molecular scale, the available models of ablation flows only incorporate ablated molecules and neglect molecular clusters. In this project, we will develop computationally-efficient methodology for coarse-grained yet accurate characterization of cluster reactions with the aid of molecular dynamics (MD) simulations and parametric chemistry models. The resultant product will be a software module which will provide the cluster reaction characterization for the given interaction potential. This module will be compatible with existent NASA codes applicable for continuous or rarefied gas regimes. Another software model will perform MD simulations of energetic gas flow surface interaction.

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The USGS Earth Resources Observation and Science (EROS) Center archive holds data collected by the Landsat suite of satellites, beginning with Landsat 1 in 1972. All Landsat data held in the USGS EROS archive are available for download at no charge.

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This map layer portrays the Congressional Districts of the United States for the 106th Congress. The map layer was created by extracting lines from existing National Atlas layers that were coincident with Congressional District boundaries. In areas lacking coincident geometry, lines from 1:100,000 scale Congressional District boundaries published by the U.S. Department of Commerce, Bureau of the Census, Geography Division were generalized and integrated into the data layer.

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Long-term acute care hospitals (LTACs) are defined by the Centers for Medicare and Medicaid Services as providing care to patients with medically complex conditions requiring an average length of stay greater than 25 days. This table shows the incidence rates of hospital onset (HO) methicillin-resistant Staphylococcus aureus bloodstream infections (MRSA BSI) reported by California LTACs to the Centers for Disease Control and Prevention (CDC) National Healthcare Safety Network (NHSN), during the time period January through December 2013. MRSA BSI cases are classified as HO when a positive blood sample is obtained on day four or later during a hospital stay, from a patient with no prior positive blood culture within the preceding two weeks. The HO MRSA BSI rate is calculated by dividing the number of cases by the total number of patient days; the rate is then reported per 10,000 patient days. The MRSA BSI rates in this data release are not risk adjusted because there are no such methods available at this time for LTACs. In addition to patient-based risk factors, the unadjusted LTAC MRSA BSI rates herein are also affected by facility bed size, community prevalence rate, clinical and infection control practices, and/or surveillance methods. While stratifying MRSA BSI rates by LTAC hospital type may make rates more comparable, it cannot control for all factors that can affect MRSA BSI rates. Therefore, comparisons between hospitals within this group should still be made with caution. To link the CDPH facility IDs with those from other Departments, like OSHPD, please reference the "Licensed Facility Cross-Walk" Open Data table at https://chhs.data.ca.gov/Facilities-and-Services/Licensed-Facility-Cross...

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A tool to capture the accounting data for the program service centers.

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This map layer portrays the Congressional Districts of the United States for the 108th Congress. Lines coincident with Congressional District boundaries were extracted from the existing National Atlas County Boundaries layer. In areas lacking coincident geometry, lines from State data sets or from an Election Data Services data set were integrated into the file. This is an update of the March 2003 map layer.

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Description

Space Micro proposes to build a radiation hardened by design (RHBD) flash memory, using a modified version of our RH-eDRAM Memory Controller to solve all the single event effects issues (SEU, SEFI and multiple bit errors) using either a RHBD process with NAND Flash cells. The RH-eFlash will be manufactured on known radiation characterized ASIC processes: examples being 130 nm or 65 nm TSMC or other US foundry equivalents. Using the TSMC example, the resulting RH-eFlash, fabricated on a 65 nm process, provides 512 Mbit to 1 Gbit of radiation hardened (SEU, SEFI, SEL and TID) NAND Flash memory. Operating temperature and packaging reliability is addressed through a thorough memory integrated circuit design (temperature) and post IC high-reliability package selections (i.e. ceramic packages). Note that this technology is portable to future available and radiation tested ASIC processes with even finer geometries and high density.

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Description

The data in this layer were generated as part of an environmental impact statement evaluating the construction of a proposed 250,000 barrel per day oil refinery and marine terminal. Permits for this facility, which would serve the Eastport, Maine area, were requested by the Pittston Company of New York.

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A list of public developer hubs maintained by the US government.