Datasets


Published By Department of Justice

Issued over 9 years ago

US
beta

Summary

Type of release
a one-off release of a set of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

The 2001 Annual Parole Survey provides a count of the total number of persons supervised in the community on January 1 and December 31, 2001, and a count of the number entering and leaving supervision during the year. The survey also provides counts of th


Published By Department of Justice

Issued over 9 years ago

US
beta

Summary

Type of release
a one-off release of a set of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

The 2004 Annual Parole Survey provides a count of the total number of persons supervised in the community on January 1 and December 31, 2004, and a count of the number entering and leaving supervision during the year. The survey also provides counts of th


Published By Department of Justice

Issued over 9 years ago

US
beta

Summary

Type of release
a one-off release of a set of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

The 1999 Annual Parole Survey provides a count of the total number of persons supervised in the community on January 1 and December 31, 1999, and a count of the number entering and leaving supervision during the year. The survey also provides counts of th


Published By Department of Justice

Issued over 9 years ago

US
beta

Summary

Type of release
a one-off release of a set of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

The 1997 Annual Parole Survey provides a count of the total number of persons supervised in the community on January 1 and December 31, 1997, and a count of the number entering and leaving supervision during the year. The survey also provides counts of th


Published By Federal Emergency Management Agency, Department of Homeland Security

Issued over 9 years ago

US
beta

Summary

Type of release
ongoing release of a series of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

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).


Published By Department of Justice

Issued over 9 years ago

US
beta

Summary

Type of release
a one-off release of a set of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

The 1996 Annual Parole Survey provides a count of the total number of persons supervised in the community on January 1 and December 31, 1996, and a count of the number entering and leaving supervision during the year. The survey also provides counts of th


Published By National Oceanic and Atmospheric Administration, Department of Commerce

Issued over 9 years ago

US
beta

Summary

Type of release
ongoing release of a series of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

The Climate Prediction Center (CPC) issues a series of thirteen probabilistic three-month temperature outlooks for the United States. CPC issues the thirteen outlooks each month with lead times from 0.5 months to 12.5 months. For example, in mid-January, CPC will issue Three-Month Temperature Outlooks for February through April, March through May, April through June, and so on into February through April of the following year. A new set of outlooks would then be released in mid-February for March through May, April through June, and so on into March through May of the following year. CPC expresses the outlooks in a 3-category probabilistic format as the chance the mean temperature for the period will be above, below, or near normal. CPC bases its definition of above normal, near normal, and below normal by dividing a thirty year climatology into equally likely thirds comprising 10 cases each. Note that the base period for the thirty year climatology (currently beginning in 1981 and ending in 2010) is updated once per decade. The top 10 (warmest) cases of this thirty year climatology define the above normal category, the bottom 10 (coldest) cases define the below normal category, and the middle 10 cases define the near normal category. CPC indicates the probability of the most likely category with shaded contours and labels the centers of maximum probability with the letters "A" (for Above Normal), "B" (for Below Normal), or "N" (for Near Normal). For areas where a favored category cannot be determined, CPC indicates those areas with an "EC" meaning "Equal Chances". CPC also accompanies the outlook maps with a technical discussion of the meteorological and climatological basis for the outlooks. CPC may include analysis of statistical and numerical models, meteorological and sea-surface temperature patterns, trends and past analogs, and confidence factors in this technical discussion.


Published By U.S. Geological Survey, Department of the Interior

Issued over 9 years ago

US
beta

Summary

Type of release
ongoing release of a series of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

This product "Predicted nitrate and arsenic concentrations in basin-fill aquifers of the Southwest Principal Aquifers study area" is a 1:250,000-scale vector dataset and was developed as part of a regional Southwest Principal Aquifers (SWPA) study. The study examined the vulnerability of basin-fill aquifers in the southwestern United States to nitrate contamination and arsenic enrichment. Statistical models were developed by using the random forest classifier algorithm to predict concentrations of nitrate and arsenic across a model grid that represents local- and basin-scale measures of source, aquifer susceptibility, and geochemical conditions. Separate classifiers were developed for nitrate and arsenic because each constituent was expected to be affected by a different set of factors, and each factor could have a different magnitude or directional influence (increase/decrease) on concentration. For each constituent, two different classifiers were developed; a prediction classifier and a confirmatory classifier. The prediction classifiers were developed specifically to predict nitrate and arsenic concentrations in basin-fill aquifers across the SWPA study area and were based on explanatory variables representing source and susceptibility conditions. These explanatory variables were available throughout the entire SWPA study area and, therefore, did not pose a limitation for using the classifiers to predict concentrations. The confirmatory classifiers were developed to supplement the prediction classifiers in the evaluation of the conceptual model. The name, "confirmatory," reflects the classifier's purpose for evaluation of a-priori hypotheses and contrasts other general types of statistical models, such as those used for prediction or exploratory purposes. The confirmatory classifiers included the explanatory variables used in the prediction classifiers, as well as additional variables representing geochemical conditions and basin groundwater budget components. The inclusion of the geochemical and basin groundwater budget variables in the confirmatory classifiers allowed for further evaluation of the conceptual models, which was not possible with the prediction classifiers alone. The geochemical data, however, were only available at specific well locations, and consistent water-budget data were not available for every basin in the study area. The limited availability of the data for these variables constrained the confirmatory classifiers to observations from 16 case-study basins and precluded use of the confirmatory classifier for predicting concentrations across the SWPA study area. To contrast the scope of the two classifiers, the confirmatory classifiers were developed by using all available explanatory variables but with observations restricted to the 16 case-study basins, whereas the prediction classifiers were unrestricted with respect to spatial extent because these were developed by using a subset of the explanatory variables that were available throughout the study area.


Published By National Oceanic and Atmospheric Administration, Department of Commerce

Issued over 9 years ago

US
beta

Summary

Type of release
a one-off release of a single dataset

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

The Surface Weather Observations (SWO) library is the largest in the Environmental Document Access and Display System (EDADS). It contains hourly weather data from over 700 U.S. locations. There are some forms from before 1920, but almost all are from the late 1920s to the present year. These parameters include ceiling, visibility, weather, sea level pressure, temperature, dewpoint, winds, and altimeter.


Published By Federal Emergency Management Agency, Department of Homeland Security

Issued over 9 years ago

US
beta

Summary

Type of release
ongoing release of a series of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

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 National Oceanic and Atmospheric Administration, Department of Commerce

Issued over 9 years ago

US
beta

Summary

Type of release
ongoing release of a series of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

We assembled 2.1 million National Ocean Service (NOS) bathymetric soundings extending 1,900 km along the Aleutian Islands from Unimak Island in the east to the Russian border in the west, and ranging approximately 500 km north of the central Aleutians to Petrel and Bowers Banks, and also the surrounding deep waters of the southeastern Bering Sea. These bathymetry data are available from the National Geophysical Data Center (NGDC: http://www.ngdc.noaa.gov), which archives and distributes data that were originally collected by the NOS and others. While various bathymetry data have been downloaded previously from NGDC, compiled, and used for a variety of projects, our effort differed in that we compared and corrected the digital bathymetry by studying the original analog source documents - digital versions of the original survey maps, called smooth sheets. Our editing included deleting erroneous and superseded values, digitizing missing values, and properly aligning all data sets to a common, modern datum. We also digitized 25,000 verbal surficial sediment descriptions from the smooth sheets, providing the largest single source of sediment information for the Aleutians.


Published By National Oceanic and Atmospheric Administration, Department of Commerce

Issued over 9 years ago

US
beta

Summary

Type of release
ongoing release of a series of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

The Marine Mammal Protection Act (MMPA) mandates that each fishery be classified by the level of serious injury and mortality of marine mammals that occurs incidental to each fishery is reported in the annual Marine Mammal Stock Assessment Reports for each stock. The LOF is the annual publication that updates these classifications. NOAA Fisheries has developed and implemented fishery classification criteria, which consists of a two-tiered, stock-specific approach. This two-tiered approach first addresses the total impact of all fisheries on each marine mammal stock and then addresses the impact of individual fisheries on each stock. This approach is based on the rate, in numbers of animals per year, of incidental mortalities and serious injuries of marine mammals due to commercial fishing operations relative to a stock's PBR level. The PBR level is defined (50 CFR 229.2) as the maximum number of animals, not including natural mortalities, that may be removed from a marine mammal stock while allowing that stock to reach or maintain its optimum sustainable population. While Tier 1 considers the cumulative fishery mortality and serious injury for a particular stock, Tier 2 considers fishery-specific mortality for a particular stock. Tier 1: annual mortality and serious injury across all fisheries that interact with a stock: If the total is ?10% of the PBR level of this stock, all fisheries interacting with this stock would be placed in Category III. Otherwise, these fisheries are subject to the next tier (Tier 2) of analysis to determine their classification. Tier 2: Annual mortality and serious injury of a stock in a given fishery is: Category I: ?50% of the PBR level Category II: between 1% and 50% of the PBR level Category III: ?1% of the PBR level Category I & II fisheries are then subject to the Marine Mammal Authorization Program, potential take reduction measures, and must carry an observer when requested by NOAA or its designate.


Published By U.S. Geological Survey, Department of the Interior

Issued over 9 years ago

US
beta

Summary

Type of release
ongoing release of a series of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

This map layer is a grid map of 2003 average vegetation growth for Alaska and the conterminous United States. The nominal spatial resolution is 1 kilometer and the map layer is based on 1-kilometer AVHRR data. The data were compiled by staff at the USGS Center for Earth Resources Observation and Science.


Published By National Aeronautics and Space Administration

Issued over 9 years ago

US
beta

Summary

Type of release
a one-off release of a single dataset

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

The lunar surface is, to a large extent, covered with a dust layer several meters thick. Known as lunar regolith, it has been produced by meteorite impacts since the formation of a solid lunar surface billions of years ago. The regolith, while promising as a future building material for lunar installations, also poses a hazard in the form of dust clouds being generated by all forms of gas expansions in the high vacuum environment of the lunar surface. This is especially pronounced during spacecraft operations; a single lunar landing and take-off emits the same amount of gas as the whole lunar atmosphere contains. Instruments placed on the moon by the Apollo mission showed marked degradation due to damage from dust released during the lander's takeoff. Since there is no air movement to remove the dust after it is deposited, it is essential that dust is not displaced during everyday operations of a permanent lunar installation. Adherent Technologies, Inc. (ATI) has over the last decade developed a number of specialty UV-curing resins for NASA applications in space. In the Phase I program, ATI developed a resin and dispenser system to coat large areas of lunar surface around landing pads and atmosphere locks with a thin, dust-stabilizing coating. The coating is UV stable and elastic enough to weather the temperature extremes of a lunar day and night cycle. Special emphasis was given to a low outgassing, solvent-free system that does not contaminate the lunar atmosphere. In the Phase II program, ATI will optimize the resin formulations from the Phase I for thin film coatings. By comparing those to two-part resin systems, a balance between required properties and needed launch weight can be struck for different mission profiles. The engineering development will concentrate on a lightweight, reliable spray system to be added onto existing NASA moon vehicles.


Published By Department of Transportation

Issued over 9 years ago

US
beta

Summary

Type of release
a one-off release of a single dataset

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

Searchable list of cargo tank manufacturers and repair facilities.


Published By National Oceanic and Atmospheric Administration, Department of Commerce

Issued over 9 years ago

US
beta

Summary

Type of release
ongoing release of a series of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

Global bathymetry and topography information at 1/30 degree resolution. Data collected by means of in-situ and satellite measurements.


Published By National Oceanic and Atmospheric Administration, Department of Commerce

Issued over 9 years ago

US
beta

Summary

Type of release
ongoing release of a series of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded


Published By National Aeronautics and Space Administration

Issued over 9 years ago

US
beta

Summary

Type of release
a one-off release of a single dataset

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

The proposed program will develop titanium/water heat pipes suitable for Spacecraft Fission Power. NASA is examining small fission power reactors for future space applications with the most recent being Kilopower, which provides roughly 1 kW of electric power. Kilopower uses titanium/water heat pipes to remove the waste heat from the cold end of the convertors. Previous water heat pipe designs for space fission power are not suitable for Kilopower as they are either for surface fission power and use thermosyphons, or are grooved heat pipe designs, which are not suitable for ground testing. ACT will develop heat pipes with two different designs that are suitable for Kilopower: Hybrid grooved/screen wick and Self-venting arterial wick. Hybrid wick heat pipes will satisfy the Kilopower requirements and ACT has already successfully tested similar hybrid wick heat pipes. The self-venting arterial wick has not previously been tested in a vertical orientation but will be investigated as a higher performance, lower mass alternative to hybrid grooved pipes. The overall technical objective of the Phase I and Phase II projects is to develop a titanium/water heat pipe radiator suitable for Spacecraft Fission Power, such as Kilopower. During Phase I, ACT will investigate both a hybrid wick system, utilizing a screened evaporator and grooved condenser design, and a self-venting arterial wick design. The heat pipe design will also include a small NCG charge, which allows the fluid in the heat pipe to freeze in a controlled fashion as the heat pipe is shut down, avoiding damage, and aids with start-up from a frozen condition. In addition to testing the heat pipes in different orientations, freeze/thaw tolerance will also be demonstrated.


Published By National Aeronautics and Space Administration

Issued over 9 years ago

US
beta

Summary

Type of release
a one-off release of a single dataset

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

The Area-I team has developed and fabricated the unmanned Prototype-Technology Evaluation and Research Aircraft or PTERA ("ptera" being Greek for wing, or wing-like). The PTERA is an extremely versatile and high-quality, yet inexpensive flight research testbed that serves as a bridge between wind tunnel and manned flight testing by enabling the low-cost, low-risk flight-based evaluation of a wide array of high-risk technologies.



Summary

Type of release
ongoing release of a series of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded


Published By National Oceanic and Atmospheric Administration, Department of Commerce

Issued over 9 years ago

US
beta

Summary

Type of release
ongoing release of a series of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

The data represent predicted number of individuals of each listed seabird species per standardized survey segment (15 minute travel time at 10 knots = approx. 2.5 nautical miles (Nm) or 2.9 statute miles.) Therefore, if the average annual abundance number for a species is 0.2-0.3, then this model estimates that, on average, a single animal would be seen for every 3.3 - 5 survey segments conducted at randomly selected times of the year. Note that some species models were not estimated for all seasons due to very low/no abundance in those seasons, so the annual abundance is based only on the actual seasons modeled, assuming 0 abundance in other seasons. Annual average abundance prediction models were constructed in a study modeling at-sea occurrence and abundance of marine birds (to support Mid-Atlantic marine renewable energy planning). The Compendium of Avian Information in the U.S. Atlantic Outer Continental Shelf was used as a basis for this study, as it characterizes the survey effort and bird observations collected from the Atlantic Outer Continental Shelf since 1978. The study was conducted for BOEM by NOAA/NOS/NCCOS in collaboration with the USGS Patuxent Wildlife Research Center under interagency agreement. Within the study twenty-seven different species were modeled with up to four seasonal models for each species. These seasonal models were then averaged into mean relative abundance layers, which were then reclassified by NOAA OCM into a common classification scheme for display purposes in marinecadastre.gov. Please refer to the final report for more information about how these estimates were calculated.


Published By US Agency for International Development

Issued over 9 years ago

US
beta

Summary

Type of release
a one-off release of a set of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

A monitoring system to help track IM level targets and roll them up to the element level for the purposes of the PPR. In subsequent phases will build in a GIS component and it will become a web-based partner reporting and monitoring system. Has project management information system capabilities.


Published By Federal Emergency Management Agency, Department of Homeland Security

Issued over 9 years ago

US
beta

Summary

Type of release
ongoing release of a series of related datasets

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

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. This database was developed for the CHEROKEE County DFIRM project in 2008 by CF3R/Baker for FEMA Region 6.


Published By Department of State

Issued over 9 years ago

US
beta

Summary

Type of release
a one-off release of a single dataset

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

Conflicts Without Borders , which visualizes conflict in Africa as sub-national and transnational areas of armed conflict, inter-communal strife, and political violence that occurred in the first seven months of 2009. Areas of conflict were drawn around locations of reported conflict incidents in 2009, as well as around concentrations of internally displaced persons inside affected countries and cross-border rebel bases and refugee camps in neighboring countries.


Published By US Fish and Wildlife Service, Department of the Interior

Issued over 9 years ago

US
beta

Summary

Type of release
a one-off release of a single dataset

Data Licence
Not Applicable

Content Licence
Creative Commons CCZero

Verification
automatically awarded

Description

This Sea Level Affecting Marshes Model SLAMM report presents a model for projecting the effects of sealevel rise on coastal marshes and related habitats on Edwin B. Forsythe National Wildlife Refuge. The model is spatially explicit, using GIS technology to produce maps and tables that summarize the projected effects. The SLAMM simulations include five primary processes that affect wetland fate under different scenarios of sea level rise including: inundation, erosion, overwash, saturation, and accretion.