Distribution and Quantification of Water within the Lakes of the 1002 Area, Arctic National Wildlife Refuge, Alaska
Published By US Fish and Wildlife Service, Department of the Interior
Issued over 9 years ago
Summary
Description
An inventory of lake basins in the 1002 area of the Arctic National Wildlife Refuge was conducted as part of an effort to develop a hydrologic data base, map sources of water, and quantify availability
Published By Social Security Administration
Issued over 9 years ago
Summary
Description
SSI Eligibility & Payment.
Published By U.S. Department of Health & Human Services
Issued over 9 years ago
Summary
Description
Department of Health Organ Procurement facilities
Published By Federal Emergency Management Agency, Department of Homeland Security
Issued over 9 years ago
Summary
Description
The Floodplain Mapping/Redelineation 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 Floodplain Mapping/Redelineation 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).
Published By Federal Emergency Management Agency, Department of Homeland Security
Issued over 9 years ago
Summary
Description
Terrain data, as defined in FEMA Guidelines and Specifications, Appendix N: Data Capture Standards, describes the digital topographic data that was used to create the elevation data representing the terrain environment of a watershed and/or floodplain. Terrain data requirements allow for flexibility in the types of information provided as sources used to produce final terrain deliverables. Once this type of data is provided, FEMA will be able to account for the origins of the flood study elevation data. (Source: FEMA Guidelines and Specifications, Appendix N, Section N.1.2).
Published By Federal Emergency Management Agency, Department of Homeland Security
Issued over 9 years ago
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.
Published By Federal Emergency Management Agency, Department of Homeland Security
Issued over 9 years ago
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 Ohio North Stateplane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at scales of 1:6000 and 1:12,000.
Water wells, with selected administrative, well construction, and hydrogeologic data, Raton Basin, Huerfano and Las Animas Counties, Colorado, 2002
Published By U.S. Geological Survey, Department of the Interior
Issued over 9 years ago
Summary
Description
This dataset consists of water well locations, selected well-construction data, and hydrologic data, that are based on permit transactions submitted to the State Engineer Office, Division of Water Resources, Colorado Department of Natural Resources.
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
ZONA Technology (ZONA) proposes to develop an enhanced model updating nonlinear system identification (MUNSID) methodology that utilizes flight data with state-of-the-art control oriented techniques. The MUNSID toolbox augments the current match-point solution approach using the mu-analysis method with identified nonlinear operators. The procedure calls for a high-fidelity linear aeroelastic model to be tuned quickly with available aeroelastic/aeroservoelastic flight data sets, while block-oriented models are used to highlight the underlying nonlinear structure of the dynamic system. This framework is capable of accounting for several nonlinearities including those due to aerodynamics, structures, control/actuator, and/or geometry. Specifically, this on-line Flutter/LCO predictor can be used to accurately estimate a supercritical LCO case if the global nonlinear dynamic behavior is described throughout a hardening nonlinearity, as well as a more dangerous dynamic behavior, denoted as subcritical LCO, could be developed if a global softening nonlinearity is identified. The devised MUNSID Toolbox will become the flight control engineer's "every day tool" to predict on-line Flutter/LCO phenomena. In Phase II, MUNSID will be updated with fast and computationally efficient routines for system modeling, LFT representation, identification of nonlinearity, estimation of uncertainty, and stability analysis. Deliverables include the MUNSID production software including a GUI, a library of S-functions, and the related user manuals.
Published By Federal Emergency Management Agency, Department of Homeland Security
Issued over 9 years ago
Summary
Description
The Floodplain Mapping/Redelineation 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 Floodplain Mapping/Redelineation 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).
Published By Federal Emergency Management Agency, Department of Homeland Security
Issued over 9 years ago
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; classificatons 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.
Published By Federal Emergency Management Agency, Department of Homeland Security
Issued over 9 years ago
Summary
Description
The Floodplain Mapping/Redelineation 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 Floodplain Mapping/Redelineation 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).
Published By Federal Emergency Management Agency, Department of Homeland Security
Issued over 9 years ago
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.
Digital data sets that describe aquifer characteristics of the Rush Springs aquifer in western Oklahoma
Published By U.S. Geological Survey, Department of the Interior
Issued over 9 years ago
Summary
Description
This data set consists of digitized polygons of constant hydraulic conductivity values for the Rush Springs aquifer in western Oklahoma. This area encompasses all or part of Blaine, Caddo, Canadian, Comanche, Custer, Dewey, Grady, Stephens, and Washita Counties. For the purposes of modeling the ground-water flow in the Rush Springs aquifer, Mark F. Becker (U.S. Geological Survey, written commun., 1997) defined the Rush Springs aquifer to include the Rush Springs Formation, alluvial and terrace deposits along major streams, and parts of the Marlow Formations, particularly in the eastern part of the aquifer boundary area. The Permian-age Rush Springs Formation consists of highly cross-bedded sandstone with some interbedded dolomite and gypsum. The Rush Springs Formation is overlain by Quaternary-age alluvial and terrace deposits that consist of unconsolidated clay, silt, sand, and gravel. The Rush Springs Formation is underlain by the Permian-age Marlow Formation that consists of interbedded sandstones, siltstones, mudstones, gypsum-anhydrite, and dolomite beds (Mark F. Becker, written commun., 1997). The parts of the Marlow Formation that have high permeability and porosity are where the Marlow Formation is included as part of the Rush Springs aquifer. The Rush Springs aquifer underlies about 2,400 square miles of western Oklahoma and is an important source of water for irrigation, livestock, industrial, municipal, and domestic use. Irrigation wells are reported to have well yields greater than 1,000 gallons per minute (Mark F. Becker, written commun., 1997). The hydraulic conductivity values used by Mark F. Becker (written commun., 1997) to simulate the ground-water flow in the Rush Springs aquifer are 0.8, 2.0, 4.0, 8.0, and 10.0 feet per day. The hydraulic conductivity values are based on specific capacity data and aquifer tests. Mark F. Becker created some of the hydraulic conductivity data set by digitizing parts of previously published surficial geology maps. Ground-water flow models are numerical representations that simplify and aggregate natural systems. Models are not unique; different combinations of aquifer characteristics may produce similar results. Therefore, values of hydraulic conductivity used in the model and presented in this data set are not precise, but are within a reasonable range when compared to independently collected data.
Digital data sets that describe aquifer characteristics of the Rush Springs aquifer in western Oklahoma
Published By U.S. Geological Survey, Department of the Interior
Issued over 9 years ago
Summary
Description
This data set consists of digitized aquifer boundaries for the Rush Springs aquifer in western Oklahoma. This area encompasses all or part of Blaine, Caddo, Canadian, Comanche, Custer, Dewey, Grady, Stephens, and Washita Counties. Mark F. Becker (U.S. Geological Survey, written commun., 1997) created an aquifer boundary data set that represented hydrologic boundaries needed to simulate the ground-water flow in the Rush Springs aquifer with a computer model. In the ground-water flow model, Mark F. Becker defined the Rush Springs aquifer to include the Rush Springs Formation, alluvial and terrace deposits along major streams, and parts of the Marlow Formations, particularly in the eastern part of the aquifer boundary area. The Permian-age Rush Springs Formation consists of highly cross-bedded sandstone with some interbedded dolomite and gypsum. The Rush Springs Formation is overlain by Quaternary-age alluvial and terrace deposits that consist of unconsolidated clay, silt, sand, and gravel. The Rush Springs Formation is underlain by the Permian-age Marlow Formation that consists of interbedded sandstones, siltstones, mudstones, gypsum-anhydrite, and dolomite beds. The parts of the Marlow Formation that have high permeability and porosity are where the Marlow Formation is included as part of the Rush Springs aquifer (Mark F. Becker, written commun., 1997).
Published By US Fish and Wildlife Service, Department of the Interior
Issued over 9 years ago
Summary
Description
1432 sea otters were observed from Nelson Bay Orca Inlet to Cape Suckling.
Published By Department of Agriculture
Issued over 9 years ago
Summary
Description
These charts illustrate current market trends for oilseeds and oilseed products. Excel files are available from the monthly Outlook reports.
Published By U.S. Department of Health & Human Services
Issued over 9 years ago
Summary
Description
Increase the percentage of students covered under a 24/7 tobacco-free school policy from 74% in 2012 to 86% by 2018.
Published By Federal Emergency Management Agency, Department of Homeland Security
Issued over 9 years ago
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 Universal Transverse Mercator Coordinate System (ZONE 18N) and Lambert Conformal conic projection.F The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.
Published By US Fish and Wildlife Service, Department of the Interior
Issued over 9 years ago
Summary
Description
This Comprehensive Conservation Plan CCP was written to guide management on Nestucca Bay National Wildlife Refuge for the next 15 years. This plan outlines the Refuge vision and purpose and describes how the Complex will contribute to the overall mission of the Refuge System. The plan provides an introduction to the Refuge, an overview of the CCP process, Refuge facilities and public use programs, goals and objectives, information about the management direction, and strategies for implementation.
Utilities:Power:Underground Powerlines at Pipe Spring National Monument, Arizona (Utilities.gdb:Power:powerln)
Published By National Park Service, Department of the Interior
Issued over 9 years ago
Summary
Description
This feature class represents the powerlines at Pipe Spring National Monument, Arizona. The utility pipelines 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.
Published By Department of Transportation
Issued over 9 years ago
Summary
Description
Lists of all Civil Penalties payments collected by NHTSA, exclusive of penalties for exceeding Corporate Average Fuel Economy (CAFE) levels
Published By Federal Emergency Management Agency, Department of Homeland Security
Issued over 9 years ago
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.
Published By National Oceanic and Atmospheric Administration, Department of Commerce
Issued over 9 years ago
Summary
Description
The 3 arc-second British Columbia DEM will be used to support NOAA's tsunami forecast system and for tsunami inundation modeling. This DEM covers the coastal area off-shore British Columbia.
Published By National Park Service, Department of the Interior
Issued over 9 years ago
Summary
Description
This point file displays the 525 field plot and observation locations visited in 2003 and 2004 as part of the vegetation mapping project for Colorado National Monument. The data collected were used for the vegetation classification and mapping of the park. Sample plots were located subjectively in representative vegetation throughout the Monument. A map of soils and geology overlain on topography helped field crews maximize the diversity of sites sampled. Field crews decided where and when to use observation points or vegetation plots to sample the vegetation. Vegetation plots were placed in stands judged by field crews to represent legitimate vegetation types that could be classified to the NVC using standard multivariate analysis techniques. Observation points were placed in stands (1) if the vegetation was highly altered and therefore not classifiable, (2) to provide information about the distribution of common vegetation types adequately sampled in vegetation plots, or (3) if the stand represented a unique vegetation type that was too small to hold a 400m2 sample plot (e.g., seeps, Oregon grape shrubland). Fuels data was collected at a subset of the plots visited, and 360 degree movie files were taken of the vegetation. Nine hundred and twenty photographs were also taken of plot and observation locations.