Summary

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The data contain records of charges filed against defendants whose cases were terminated by United States attorneys in United States district court during fiscal year 1994. The data are charge-level records, and more than one charge may be filed against a

Summary

Description

The data contain records of arrests made by agents of the Drug Enforcement Administration (DEA) during fiscal year 2004. The data were constructed from the DEA Defendant Statistical System file, and include only those arrests made within the United States

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The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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Description

The data contain records of arrests made by agents of the Drug Enforcement Administration (DEA) during fiscal year 2006. The data were constructed from the DEA Defendant Statistical System file, and include only those arrests made within the United States

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Description

The data contain records of arrests made by agents of the Drug Enforcement Administration (DEA) during fiscal year 2000. The data were constructed from the DEA Defendant Statistical System file, and include only those arrests made within the United States

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Description

The data contain records of arrests made by agents of the Drug Enforcement Administration (DEA) during fiscal year 2005. The data were constructed from the DEA Defendant Statistical System file, and include only those arrests made within the United States

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.

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ASTER level-1B data have had system radiometric corrections and geometric coefficients applied and are reprojected to a given map projection.

Summary

Description

The data contain records of arrests made by agents of the Drug Enforcement Administration (DEA) during fiscal year 1996. The data were constructed from the DEA Defendant Statistical System file, and include only those arrests made within the United States

Summary

Description

The data contain records of arrests made by agents of the Drug Enforcement Administration (DEA) during fiscal year 2002. The data were constructed from the DEA Defendant Statistical System file, and include only those arrests made within the United States

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Description

NODC Accession 0112171 includes profile, discrete sample and biological data collected aboard the NATHANIEL B. PALMER during cruises NBP0103, NBP0104, NBP0202 and NBP0204 in the South Atlantic Ocean and South Pacific Ocean from 2001-04-30 to 2002-09-11. These data include ANIMALS - INDIVIDUAL - COUNTS, Displacement Volume, SPECIES IDENTIFICATION - LIFE STAGE, TAXONOMIC CODE and species abundance. The instruments used to collect these data include Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS). These data were collected by Carin J. Ashjian of Woods Hole Oceanographic Institution as part of Southern Ocean GLOBEC. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) submitted these data to NODC on 2013-07-31. The following is the text of the abstract provided by BCO-DMO: Zooplankton Abundance Based on Taxa and Life Stages or Size Classes, Collected during the Broadscale NB Palmer Cruises, Austral Autumn 2001 and 2002 The MOCNESS-1 plankton sampler has nine rectangular nets (1m x 1.4 m) with a mesh size of 0.333 mm, which are opened and closed sequentially by commands through conducting cable from the surface (Wiebe et al., 1976). Note: NBP0104 tows 1-11 used a 500 micron mesh for net 1 samples. Then it was moved to net 0 for remainder of tows. Cruises: Nathaniel B. Palmer, April-June 2001 (NBP01-03), 24 tows, cruise report (http://globec.whoi.edu/jg/serv/globec/soglobec/inventory.html2{dir=globec.whoi.edu/jg/dir/globec/soglobec/,info=globec.whoi.edu/jg/info/globec/soglobec/inventory}?project%20eq%20NBP0103,data_type%20eq%20cruise_report) Nathaniel B. Palmer, July-Sept. 2001 (NBP01-04), 17 tows, cruise report (http://globec.whoi.edu/jg/serv/globec/soglobec/inventory.html2{dir=globec.whoi.edu/jg/dir/globec/soglobec/,info=globec.whoi.edu/jg/info/globec/soglobec/inventory}?project%20eq%20NBP0104,data_type%20eq%20cruise_report) Nathaniel B. Palmer, April-May 2002 (NBP02-02), 24 tows, cruise report (http://globec.whoi.edu/jg/serv/globec/soglobec/inventory.html2{dir=globec.whoi.edu/jg/dir/globec/soglobec/,info=globec.whoi.edu/jg/info/globec/soglobec/inventory}?project%20eq%20NBP0202,data_type%20eq%20cruise_report) Nathaniel B. Palmer, July-Sept. 2002 (NBP02-04), 19 tows, cruise report (http://globec.whoi.edu/jg/serv/globec/soglobec/inventory.html2{dir=globec.whoi.edu/jg/dir/globec/soglobec/,info=globec.whoi.edu/jg/info/globec/soglobec/inventory}?project%20eq%20NBP0204,data_type%20eq%20cruise_report) 1Displacement volume measurement: Entire sample plus liquid was measured in a large graduated cylinder then poured through a sieve into a second cylinder. The difference in volume is the displacement volume. Methods: Zooplankton abundance, vertical and horizontal distribution, and population structure were assessed using a 1 m2 Multiple Opening and Closing Nets and Environmental Sampling System (MOCNESS) with nine nets having 333 micron mesh and environmental sensors of temperature, salinity and depth. The entire water column was sampled on the downcast using net # 0, which was not analyzed here. The water column was typically sampled from close to the bottom at stations on the shelf where depths were less than 1000 m, or to 1000m at stations off the shelf where depths were often from 3000 to 4000 m. Nets 1 through 8 sampled from various depth intervals to the surface with smaller strata near the surface. Several tows targeted krill swarms by towing in a single strata. Approximate locations of broadscale study stations are shown in Figs. 1-4 (#Figure1). Zooplankton samples were immediately preserved in 5% buffered formalin solution. In 2006, the samples were sent to the Atlantic Reference Centre, Huntsman Marine Science Centre (http://www.huntsmanmarine.ca/research_menu.shtml), St. Andrews, New Brunswick, Canada to be sorted. All the large organisms (>15 mm) in the sample were removed and identified to taxa. The sample was then split to about 100 individuals of euphausiids. All euphausiids in the split were identified to species and life history stage. Next, the sample was split to about 100 individuals of copepods. Copepods were identified to species and life history stage (female, male, copepodite V, or other copepodite). All other zooplankton in the split were identified to taxa and counted. For the Euchaetidae, we followed the designation of Park (1994) who ascribed the Antarctic species to the genus Paraeuchaeta. This data object ("zooabund_nbp") reports the counts of zooplankton per subsample/split by taxa and life stage or size class. The companion data object "zooabund_lmg" reports similar for the MOCNESS samples collected on the L.M. Gould cruises and data object "krill" reports the abundance of each euphausiid species by life stage and size class, also on the L. M. Gould. Greenwich Mean Time was local time + 4 hours. See companion data files: 1. Zooplankton biovolume values from MOCNESS tows (http://globec.whoi.edu/jg/serv/globec/soglobec/mocness_biovols_rs.html0{dir=globec.whoi.edu/jg/dir/globec/soglobec/,info=globec.whoi.edu/jg/info/globec/soglobec/mocness_biovols}) - this data set is derived from displacement volume measurements and dry weight conversion calculations from the same set of samples as the above data. 2. Zooplankton Abundance and biomass from MOCNESS nets using silhouette analysis (http://globec.whoi.edu/jg/serv/globec/soglobec/zoo_moc.html0{dir=globec.whoi.edu/jg/dir/globec/soglobec/,info=globec.whoi.edu:80/jg/info/globec/soglobec/zoo_moc}?) NB Palmer, austral fall & winter of 2001 & 2002 - Biomass (wet weight) and abundance were determined principally by silhouette digitization of taxa lengths and conversion to equivalent wet weights according to the equations and methods adapted from Davis and Wiebe (1985) and Wiebe et al. (2004). Contact Information: Net sample collections: Carin Ashjian (mailto:cashjian@whoi.edu), Peter Wiebe (mailto:pwiebe@whoi.edu), Nancy Copley (mailto:ncopley@whoi.edu), Phil Alatalo (mailto:palatalo@whoi.edu) at Woods Hole Oceanographic Inst. Sample Analyses: Atlantic Reference Centre (http://www.huntsmanmarine.ca/arc.shtml) (ARC), located in St. Andrews, New Brunswick, Canada under the supervision of Dr. Gerhard Pohle (mailto:ARC@mar.dfo-mpo.gc.ca). Reference: Davis, C.S., Wiebe, P.H., 1985. Macrozooplankton biomass in a warm-core Gulf Stream ring: Time series changes in size structure, taxonomic composition, and vertical distribution. Journal of Geophysical Research 90, 8871-8882. Park, T. 1994. Geographic distribution of the bathypelagic genus Paraeuchaeta (Copepoda, Calanoida), Hydrobiologia 292/293, 317-332. Wiebe, P.H., K.H. Burt, S. H. Boyd, A.W. Morton, 1976. The multiple opening/closing net and environmental sensing system for sampling zooplankton. Journal of Marine Research, 34(3): 313-326. Wiebe, P.H., C. J. Ashjian, S. M. Gallager, C. S. Davis, G. L. Lawson, and N. J. Copley. 2004. Using a high powered strobe light to increase the catch of Antarctic krill. Marine Biology. 144(3): 493 - 502. (http://globec.whoi.edu/images/NBP0103_TowPositions.png) Fig. 1. NBP-0103: Locations for the oblique MOCNESS tows taken in austral fall 2001 as part of the broad-scale survey (solid dots) and the horizontal tows taken in krill patches in Marguerite Bay (asterisks). (http://globec.whoi.edu/images/NBP0104_TowPositions.png) Fig. 2. NBP-0104: Locations for the oblique MOCNESS tows taken in austral winter 2001 as part of the broad-scale survey. (http://globec.whoi.edu/images/NBP0202_TowPositions.png) Fig. 3. NBP-0202: Locations for the oblique MOCNESS tows taken in austral fall 2002 as part of the broad-scale survey. (http://globec.whoi.edu/images/NBP0204_TowPositions.png) Fig. 4. NBP-0204: Locations for the oblique MOCNESS tows taken in austral winter 2002 as part of the broad-scale survey. last updated: 12 Sept. 2006; gfh

Summary

Description

The data contain records of arrests made by agents of the Drug Enforcement Administration (DEA) during fiscal year 1997. The data were constructed from the DEA Defendant Statistical System file, and include only those arrests made within the United States

Summary

Description

The data contain records of arrests made by agents of the Drug Enforcement Administration (DEA) during fiscal year 1995. The data were constructed from the DEA Defendant Statistical System file, and include only those arrests made within the United States

Summary

Description

National survey that collects data from a sample of the resident population in the United States. Housing units in every county in the United States and municipio in Puerto Rico, including institutional and non-institutional group quarters, are included in the sample.

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Description

The National Climatic Data Center Tape Deck Documentation library is a collection of over 400 manuals describing NCDC's digital holdings (both historic and current). While many libraries are still available from NCDC, some datasets have been removed due to obsolesence--their respective manuals remain to serve as a permanent record of the dataset.

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 South Carolina (FIPS 3900) 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.

Summary

Description

The Satellite View of Puerto Rico and the U.S. Virgin Islands map layer is a 100-meter resolution simulated natural-color image of Puerto Rico and the U.S. Virgin Islands. Vegetation is generally green, with forests in darker green and grasslands or shrublands in lighter green. Areas of high reflectance, including urban areas, rock, and dry bare soil, are shown in shades of tan and pink. Very bright areas, such as snow and ice, are light blue. The image was produced by mosaicking Landsat Thematic Mapper (TM) imagery from the Landsat 4 and Landsat 5 satellites. Bands 7 (mid-infrared), 4 (near-infrared) and 2 (green), were assigned to red, green, and blue, respectively, and adjusted to produce the final simulated natural-color image.

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Description

The NOHRSC provides and maintains the NWS Integrated Hydrologic Automated Basin Boundary System (IHABBS) GIS database to support river and flood forecasting throughout the nation. Basin boundary data sets and RFC boundaries are in the form of shapefiles that have been tarred and gzipped.

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Description

A memorandum discussing amendment number 1 for the public hunting and fishing plan in Tewaukon National Wildlife Refuge. Amendment is included in this file. This amendment discusses hunting of resident game species, specifically upland game species. Ringnecked pheasant is the only species recommended for harvest in this amendment.

Summary

Description

Bathymetry for Galveston Bay was derived from thirty-three surveyscontaining 209,359 soundings. Twelve overlapping, older, lessaccurate surveys were omitted, and overlap from eight older, lessaccurate surveys was omitted. The average separation between soundingswas 84 meters. The thirty-three surveys used dated from 1931 to 1983with the oldest surveys in the northern and southernmost portionsof the bay. The majority of the surveys were from the early 1960’s. Thesoundings ranged from 1.2 meters to -16.5 meters at mean low water. Meanhigh water values of 0.3 or 0.4 meters were assigned to the shoreline.Twelve points were found that were not consistent with the surrounding points.These were removed prior to tinning. DEM grid values outside theshoreline (on land) were assigned null values (-32676).Galveston Bay has twenty-nine 7.5 minute DEMs and two one degreeDEMs. The 1 degree DEMs were generated from the higher resolution 7.5minute DEMs which covered the estuary. A Digital Elevation Model(DEM) contains a series of elevations ordered from south to northwith the order of the columns from west to east. The DEM isformatted as one ASCII header record (A- record), followed by aseries of profile records (B- records) each of which include a shortB-record header followed by a series of ASCII integer elevations(typically in units of 1 centimeter) per each profile. The lastphysical record of the DEM is an accuracy record (C-record).The 7.5-minute DEM (30- by 30-m data spacing) is cast on theUniversal Transverse Mercator (UTM) projection. It provides coveragein 7.5- by 7.5-minute blocks. Each product provides the samecoverage as a standard USGS 7.5-minute quadrangle but the DEMcontains over edge data. Coverage is available for many estuaries ofthe contiguous United States but is not complete.

Summary

Description

These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl Q680i-D system. The data includes topographic data in an LAS 1.2 format file classified as unclassified (1), ground (2), and water (9) in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards. This data set also includes lidar intensity values and encoded RGB image values.

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 1:12000.

Summary

Description

The Pentagon Channel's Fit for Duty episodes that feature the Pilates method used to build strength, flexibility and agility.

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 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 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 1:12000.