Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
ALOS PALSAR Level 1.0
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
Utilizing MIL-STD-1553B Digital Data Bus Devices Across an IEEE-1394A Serial Bus Project
Published By National Oceanic and Atmospheric Administration, Department of Commerce
Issued over 9 years ago
Summary
Description
On August 17, 1999, at 3:02 am local time (00:02 GMT) a magnitude (Mw) 7.4 earthquake occurred on the northern Anatolian fault. The epicenter was located very close to the south shore of the Bay of Izmit, an eastward extension of the Marmara Sea. The location of this earthquake and its proximity to a populous region on the Bay of Izmit contributed greatly to its damaging effects. The total estimated loss for port facilities in the region was around $200 million (US). Subsidence and slumping caused much of the coastal damage, but a tsunami was generated that also caused coastal damage and deaths.
Published By U.S. Department of Health & Human Services
Issued over 9 years ago
Summary
Description
Contains data for FDA pistachio product recalls since March 2009.
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
Given the extended duration of future missions and the isolated, extreme and confined environments, there is the possibility that behavioral conditions and mental disorders (DSM-IV-TR) will develop. The overarching goal of this project is to deliver an Individualized Behavioral Health Monitoring Tool that unobtrusively integrates all available behavioral measures collected during a mission to provide a dashboard of behavioral health indicators. These indicators will be placed within the context of quantitatively-tracked mission stressors to provide meaningful feedback to astronauts, and possibly the Operational Psychology Group and Flight Surgeons responsible for behavioral health support. The result of this project through Phase II will be a system prototype that can be deployed in space analog environments for validation testing and ultimately deployed on ISS and lunar missions. The critical need for an Individualized Behavioral Health Monitoring Tool has been identified as a priority outlined in the BHP Integrated Research Plan (July 2009) gap BMED3. During Phase I, we will perform an assessment of behavioral health monitoring technologies and develop an engineering requirements document and detailed technical plans to implement during Phase II (Phase I TRL of 3).
Published By Court Services and Offender Supervision Agency
Issued over 9 years ago
Summary
Description
Provides offender characteristics by police district and police service area.
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.
2005-2006 Southwest Florida Water Management District (SWFWMD) Lidar: Polk County (Including Hampton, Judy, Lake Wales, Peace River (North), and Polk District Remainder Tracts)
Published By National Oceanic and Atmospheric Administration, Department of Commerce
Issued over 9 years ago
Summary
Description
This data set is one component of a digital terrain model (DTM) for the SWFWMD Polk District. This record includes information about the LiDAR data for the following SWFWMD tracts: Hampton, Judy, Lake Wales, Peace River (North) and Polk Remainder. All of these tracts are located in Polk County. Please see the Bounding Coordinates for each tract for the location within Polk County. Information that is specific to each tract has been maintained. HAMPTON TRACT This data set is one component of a digital terrain model (DTM) for Hampton Tract, Polk County, Florida encompassing approximately 43 square miles. This dataset is comprised of 48 LiDAR files, based on the DISTRICT 5,000' by 5,000' sheet index system (17951-17958, 18114-18121, 18363-18370, 18526-18533, 18259-18266 and 18594-18601) in the LAS file format. The raw data was collected at an average ground sample distance of 1-meter. Other components of the DTM include: 3-D breaklines along hydrographic features in the Shape file format; lake/pond polygons (in 3D) in the shape file format; obscured area polygons (in 2D) in the Shape file format; and hard/soft breaklines (in 3D) in the Shape file format. Date of Collection: 20060125 Bounding Coordinates of tract: West Bounding Coordinate: -82.035984 East Bounding Coordinate: -81.903345 North Bounding Coordinate: 28.328847 South Bounding Coordinate: 28.238391 JUDY TRACT This data set is one component of a digital terrain model (DTM) for Judy Tract, Polk County, Florida encompassing approximately 12.6 square miles. This dataset is comprised of 14 LiDAR files, based on the DISTRICT 5,000' by 5,000' sheet index system (17632-17636, 17795-17799, and 17959-17962) in the LAS file format. The raw data was collected at an average ground sample distance of 1-meter. Other components of the DTM include a personal geodatabase containing: obscured vegetation polygons; road overpass polygons; road breaklines; soft feature breaklines; water body polygons; coastal shorelines; 1-foot contours; hydrographic feature breaklines, and island polygons in accordance with the SWFWMD 2006 Topographic Database Design. Date of Collection: 20060125 Bounding Coordinates of tract: West Bounding Coordinate: -81.925929 East Bounding Coordinate: -81.848175 North Bounding Coordinate: 28.350110 South Bounding Coordinate: 28.308789 LAKE WALES This data set is one component of a digital terrain model (DTM) for Lake Wales, Polk County, Florida encompassing approximately 10.75 square miles. This dataset is comprised of 12 LiDAR files, based on the DISTRICT 5,000' by 5,000' sheet index system (22365-22367, 22528-22530, 22691-22693 and 22854-22856) in the LAS file format. The raw data was collected at an average ground sample distance of 1-meter. Other components of the DTM include: 3-D breaklines along hydrographic features in the Shape file format; lake/pond polygons (in 3D) in the shape file format; obscured area polygons (in 2D) in the Shape file format; and hard/soft breaklines (in 3D) in the Shape file format. Date of Collection: 20060125 Bounding Coordinates of tract: West Bounding Coordinate: -81.543294 East Bounding Coordinate: -81.509932 North Bounding Coordinate: 27.916603 South Bounding Coordinate: 27.868213 PEACE RIVER (NORTH) This data set is one component of a digital terrain model (DTM) for Peace River North (P692), Polk County, Florida encompassing approximately 1,149 square miles. This dataset is comprised of 1,281 LiDAR files, based on the DISTRICT 5,000' by 5,000' sheet index system in the LAS file format. The raw data was collected at an average ground sample distance of 1-meter. Other components of the DTM include: 3-D breaklines along hydrographic features in the Shape file format; lake/pond polygons (in 3D) in the shape file format; obscured area polygons (in 2D) in the Shape file format; and hard/soft breaklines (in 3D) in the Shape file format. Date of Collection: 20060227 Bounding Coordinates of tract: West Bounding Coordinate: -82.035984 East Bounding Coordinate: -81.903345 North Bounding Coordinate: 28.328847 South Bounding Coordinate: 28.238391 POLK DISTRICT REMAINDER This dataset is one component of a digital terrain model (DTM) for the Southwest Florida Water Management District's FY2007 Remainder Polk District LiDAR Mapping Project and Polk District Contours Project (L672) encompassing approximately 428 square miles in Polk County, Florida. This dataset is comprised of 478 LiDAR files, based on the FL Statewide 5,000' by 5,000' sheet index system in the LAS version 1.1 file format. LiDAR acquisition dates were January 27, January 30 through February 20, 2005. The raw data was collected at an average ground sample distance of 2.1 feet. Other components of the DTM include a personal geodatabase in accordance with the SWFWMD 2006 Topographic Database Design containing: obscured vegetation polygons; road overpass polygons; road breaklines; soft feature breaklines; water body polygons; coastal shorelines; hydrographic features breaklines; island polygons; and 1-foot contours. Final products include FEMA-compliant LIDAR-derived DTM data and 1-foot contours (for cartographic visualization purposes only) meeting or exceeding National Map Accuracy Standards for 2-foot contours. This area is not a tract, but an addition of areas to the Polk District data set. This data set consists of three areas within Polk County. The approximate bounding coordinates for each area are given below. Area 3 borders the east and north sides of the Peace River (North) and Judy Tract data sets. The bounding coordinates for Area 3 are generalized here, but it is actually a multi-sided polygon with many vertices. Date of Collection: 20050127, 20050130-20050220 Bounding Coordinates of Area 1: Area 2 Area 3 West Bounding Coordinate: -82.104809 -81.958339 -81.934587 East Bounding Coordinate: -82.033554 -81.918752 -81.380374 North Bounding Coordinate: 28.314262 28.349889 28.397394 South Bounding Coordinate: 28.171749 28.322179 27.625454
Published By Department of Justice
Issued over 9 years ago
Summary
Description
A collection of Executive 13166 resources
Published By US Fish and Wildlife Service, Department of the Interior
Issued over 9 years ago
Summary
Description
The U.S. Fish and Wildlife Service is organized into 8 geographic Regions.
Published By Department of Education
Issued over 9 years ago
Summary
Description
The National Assessment of Educational Progress, 2012 Long-Term Trend (NAEP 2012 LTT) is a study that is part of the National Assessment of Educational Progress (NAEP) program; program data is available since 1971 at http://nces.ed.gov/nationsreportcard/naepdata/. NAEP 2012 LTT (http://nces.ed.gov/nationsreportcard/ltt) is a cross-sectional survey that assesses what America's students know and can do in reading and mathematics. NAEP 2012 Long-Term Trend assessment was administered to students aged 9, 13, and 17 who were enrolled in public and non-public elementary and secondary schools throughout the nation.
Published By Department of Justice
Issued over 9 years ago
Summary
Description
The Vehicle Check System (VINNY) receives VIN check requests from all major ports in the U.S. It compiles the relevant information for each VIN from NCIC and NICB and sends a comprehensive report to the ports indicating if any shipped vehicles have been i
Published By U.S. Geological Survey, Department of the Interior
Issued over 9 years ago
Summary
Description
This map layer contains elevation data for Alaska, in an Albers Equal-Area Conic projection. The elevation data were derived from National Elevation Dataset (NED) data, http://ned.usgs.gov, and show the terrain at a resolution of 100 meters. The NED is a raster product assembled by the U.S. Geological Survey, designed to provide national elevation data in a seamless form with a consistent datum, elevation unit, and projection. Data corrections made in the NED assembly process minimize artifacts, permit edge matching, and fill sliver areas of missing data. The NED is updated on a bi-monthly basis. This data set was derived from NED data released in December, 2010, http://ned.usgs.gov/downloads/documents/NED_Release_Notes_Dec10.pdf.
Published By National Oceanic and Atmospheric Administration, Department of Commerce
Issued over 9 years ago
Summary
Description
This dataset has Rain Fall data from NOAA NOS Center for Operational Oceanographic Products and Services (CO-OPS). WARNING: These preliminary data have not been subjected to the National Ocean Services (NOS) Quality Control procedures, and do not necessarily meet the criteria and standards of official NOS data. They are released for limited public use with appropriate caution. WARNING: * Queries for data MUST include stationID= and time>=. * Queries USUALLY include timet completely reliable. If your request returns no data when you think it should: * Try revising the request (e.g., a different time range). * The list of stations offering this data may be incorrect. * Sometimes a station or the entire data service is unavailable. Wait a while and try again.
Published By Department of Justice
Issued over 9 years ago
Summary
Description
Published in 1999, this study updated data on the extent and nature of sexual victimization of college women.
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 Federal Emergency Management Agency, Department of Homeland Security
Issued over 9 years ago
Summary
Description
This is collection level metadata for LAS and ASCII data files from the statewide Iowa Lidar Project. The Iowa Light Detection and Ranging (LiDAR) Project collects location and elevation (X, Y, Z) data to a set standard for the entire state of Iowa. LIDAR is defined as an airborne laser system, flown aboard rotary or fixed-wing aircraft, that is used to acquire x, y, and z coordinates of terrain and terrain features that are both manmade and naturally occurring. LIDAR systems consist of a light-emitting scanning laser, an airborne Global Positioning System (GPS) with attendant GPS base station(s), and an Inertial Measuring Unit (IMU). The laser scanning system measures ranges from the scanning laser to terrain surfaces by measuring the time it takes for the emitted light (LIDAR return) to reach the earth's surface and reflect back to the onboard LIDAR detector. The airborne GPS system ascertains the in-flight three-dimensional position of the sensor, and the IMU delivers precise information about the attitude of the sensor. The LIDAR system incorporates data from these three subsystems to produce a large cloud of points on the land surface whose X, Y, and Z coordinates are known within the specified accuracy. This collection consists of ASCII files of bare earth elevations and intensity (x,y,z,i) and, LAS (version 1.0 lidar data interchange standard) binary files that include all 1st and last returns, intensity and bare earth classification.
Published By Department of Energy
Issued over 9 years ago
Summary
Description
Total annual biofuels consumption (Thousand Barrels Per Day) for 2005 - 2009 for over 230 countries and regions.
Published By US Census Bureau, Department of Commerce
Issued over 9 years ago
Summary
Description
The 2014 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the "urban footprint." There are two types of urban areas: urbanized areas (UAs) that contain 50,000 or more people and urban clusters (UCs) that contain at least 2,500 people, but fewer than 50,000 people (except in the U.S. Virgin Islands and Guam which each contain urban clusters with populations greater than 50,000). Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.
Published By National Oceanic and Atmospheric Administration, Department of Commerce
Issued over 9 years ago
Summary
Description
This data depicts the social vulnerability of coastal states census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.
Published By Department of Agriculture
Issued over 9 years ago
Summary
Description
This study was undertaken to understand why some SNAP participants shop at farmers markets and others in the same geographic area do not. Results suggest that SNAP participants buy most of their fresh fruits and vegetables at farmers markets. Of those who shop at farmers markets, overall value including quality and price are major reasons for shopping at markets. Of those who do not, reasons for not shopping at farmers markets centered on convenience.
Published By National Oceanic and Atmospheric Administration, Department of Commerce
Issued over 9 years ago
Summary
Description
NOAA CoastWatch provides SST data from the NOAA Geostationary Operational Environmental Satellites (GOES). Measurements are gathered by the GOES Imager, a multi-channel radiometer carried aboard the satellite. SST is available for hourly Imager measurements, or in composite images of various durations.
Archived historical versions of the Occupational Information Network (O*NET) database for research purposes
Published By Department of Labor
Issued over 9 years ago
Summary
Description
Historical versions of the Occupational Information Network (O*NET) database starting with the prototype O*NET 98 db, and from O*NET 3.0 (8/2000) through O*NET 17.0 (July 2012)
Published By U.S. Geological Survey, Department of the Interior
Issued over 9 years ago
Summary
Description
Mineral facilities and operations outside the United States compiled by the National Minerals Information Center of the USGS. This representation combines source data from five previous publications.
TIGER/Line Shapefile, 2012, Series Information File for the Primary and Secondary Roads State-based Shapefiles
Published By US Census Bureau, Department of Commerce
Issued over 9 years ago
Summary
Description
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. Primary roads are generally divided, limited-access highways within the interstate highway system or under State management, and are distinguished by the presence of interchanges. These highways are accessible by ramps and may include some toll highways. The MAF/TIGER Feature Classification Code (MTFCC) is S1100 for primary roads. Secondary roads are main arteries, usually in the U.S. Highway, State Highway, and/or County Highway system. These roads have one or more lanes of traffic in each direction, may or may not be divided, and usually have at-grade intersections with many other roads and driveways. They usually have both a local name and a route number. The MAF/TIGER Feature Classification Code (MTFCC) is S1200 for secondary roads.