Datasets


Published By National Oceanic and Atmospheric Administration, Department of Commerce

Issued almost 10 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 product includes 10 km, remapped, GOES-West images in visible and ir bands (shortwave ir, water vapor, and longwave ir) and loops in Flash and Java. The IR images are available in the following enhancements: AVN, Dvorak, JSL, RGB, Funktop, and Rainbow. This product is generated every 30 minutes. Also inlcuded in this dataset is Polar imagery. The DMSP SSM/IS and AMSU Micorwave imagery are available in 85 GHz radiance, precipitable water, and rain rate. In addition to these variables, DMSP imagery includes surface winds. The Polar imagery is produced every 3 hours.


Published By National Oceanic and Atmospheric Administration, Department of Commerce

Issued almost 10 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 CSIR-SOCCO Southern Ocean Seasonal Cycle Experiment (SOSCEx) was planned around five cruises to the SAZ between the austral winter of 2012 and the late summer of 2013. Two autonomous SeaGliders (SG573 and SG574) were deployed south of Gough Island in the South-East Atlantic Ocean at 42.4S, 9.9W and 43.0S, 11.0W, respectively. Their deployment occurred in the central SAZ region of the Southern Ocean. The gliders were deployed on 20 September 2012 and 25 September 2012, respectively and both were retrieved on 15 February 2013 resulting in continuous sampling for 148 and 143 days (or 5.5 months) per glider. Refer to Swart et al., 2014, JMS for further details. ------ data from SG574 -> acc. # 0131762 ------


Published By Federal Emergency Management Agency, Department of Homeland Security

Issued almost 10 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 Floodplain Mapping 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 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 almost 10 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 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. Projection is in HARN State Plane NAD 83 International Feet.


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

Issued almost 10 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

There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the U.S. Geological Survey (USGS) has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. Shorelines are compiled by state and generally correspond to one of four time periods: 1800s, 1920s-1930s, 1970s, and 1998-2002. Each shoreline may represent a compilation of data from one or more sources for one or more dates provided by one or more agencies. Details regarding source are provided in the 'Data Quality Information' section of this metadata report. Shoreline vectors derived from historic sources (first three time periods) represent the high water line at the time of the survey, whereas modern shorelines (final time period) represent the mean high water line.


Published By National Aeronautics and Space Administration

Issued almost 10 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

EpiSys Science, Inc. and University of Arizona propose to develop, implement, and demonstrate Multi-Function Cognitive Radio Architecture (MF-CRA) for Space Communications, a novel software-defined radio (SDR) architecture that achieves communications configuration autonomy (CCA) with the ability to sense, detect, classify, and adapt to both time-varying communication environment and mission objectives. The innovations of the proposed MF-CRA system consists of: (i) meta-cognitive radio engines that learn which Cognitive Engine (CE) is more appropriate to provide the adaptation needed for the application scenario; and (ii) robust, computationally efficient RF sensing, signal detection, and classification algorithms compliant with the Space Telecommunications Radio System (STRS) architecture and specification. CE is an intelligent agent who observes the radio environment and chooses the best communication settings that best meet the application's goals. We propose a novel concept and design of meta-Cognitive Engine (meta-CE) which has several learning and optimization algorithms in its disposal and is learning which one is more appropriate for the application goals and the radio environment scenarios at the time of operation. To this end, we propose to develop and demonstrate the meta-CE concepts tailored for STRS applications where a meta-CE autonomously manages and controls its STRS radio waveforms and their communication parameters configurations. Our meta-CE features a dynamic RF mapping module, which will sense and record the RF signal levels as a function of the coordinates of the transceivers, the earth's atmospheric conditions, space weather, and trajectory of the transceivers so that it can anticipate the signal changes and seamlessly switch among the available links, waveforms, and parameter configuration settings. Enabling technologies for MF-CRA have been demonstrated through prototype testbed utilizing USRP radios and successful over-the-are tests.


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

Issued almost 10 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 study conducted a baseline inventory of nongame bird communities and habitat components at wetland types within three wildlife refuges in Wisconsin; Horicon, Necedah, and Trempealeau. Baseline data are essential to monitor nongame bird population changes in wetland complexes that occur within areas such as federal refuges. The primary objectives of this study were to: 1 estimate relative abundance of all bird species detected and determine density indices for common bird species, 2 calculate species richness and density indices for avian communities, and 3 recommend a longterm monitoring strategy for surveying and managing avian communities in wetland habitat types within each refuge. This study provides a baseline for assessing changes to marsh and sedge meadow bird populations. A secondary objective was to describe the dominant habitat characteristics at sites surveyed in each refuge for eventual birdhabitat association studies.


Published By Federal Emergency Management Agency, Department of Homeland Security

Issued almost 10 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 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.


Published By Federal Emergency Management Agency, Department of Homeland Security

Issued almost 10 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 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 Department of Housing and Urban Development

Issued almost 10 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

HUD’s Environmental Review Records page houses environmental reviews made publicly available through the HUD Environmental Review Online System (HEROS). This includes environmental assessments, CEST reviews, and CEST reviews that converted to exempt. New or updated environmental reviews are posted between 8 AM and 10 PM ET Monday through Saturday.


Published By Federal Emergency Management Agency, Department of Homeland Security

Issued almost 10 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 Federal Emergency Management Agency, Department of Homeland Security

Issued almost 10 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 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.


Published By Department of Justice

Issued almost 10 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 annual data tables contained in this document provide summary statistics on the civil enforcement activities of the United States Trustee Program. These tables summarize data for Fiscal Year 2006 through Fiscal Year 2012 (October 1, 2005 through Septe


Published By National Aeronautics and Space Administration

Issued almost 10 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

In this SBIR effort, Los Gatos Research (LGR) will employ its patented mid-infrared Off-Axis ICOS technique to develop a compact carbonyl sulfide (OCS), carbon dioxide (CO2), carbon monoxide (CO), and water vapor (H2O) analyzer. This sensor will provide rapid (10 Hz), real-time, accurate measurements of these important trace gases with minimal calibration. The SBIR instrument will be capable of both terrestrial and airborne deployment to provide data in the troposphere, tropopause, and stratosphere. The resulting system will allow NASA researchers to acquire data that complements satellite observations made from missions in the Earth Observing System. The data will help elucidate stratospheric aerosol loading and terrestrial CO2 fluxes to improve climate models. In Phase I, LGR demonstrated technical feasibility by fabricating an Off-Axis ICOS system for OCS, CO2, CO, and H2O quantification in ambient air. The prototype was highly precise (OCS, CO2, CO, and H2O to better than ±4 ppt, ±0.2 ppm, ±0.31 ppb, and ±3.7 ppm respectively), linear (R2 > 0.9997) over a wide dynamic range, and fast (2-Hz response), with no appreciable cross-interference between the measured species. Subsequently, LGR deployed the Phase I prototype locally and at a DOE Ameriflux site (Sherman Island, California). In Phase II, LGR will develop and deliver two autonomous OCS, CO2, CO, and H2O analyzers for terrestrial flux and airborne monitoring respectively. The first analyzer, which will measure these gases at up to 10 Hz in a variety of terrestrial ecosystems, will be tested with Professor Chris Still for long-term monitoring and Professor Dennis Baldocci for eddy-flux measurements. The second instrument will be packaged for deployment aboard a select NASA aircraft, and include provisions for ambient temperature, humidity, and pressure fluctuatons. The flight sensor will be tested using a modified Mooney TLS with Dr. Stephen Conley and then deployed aboard a NASA aircraft.


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

Issued almost 10 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

Flint Hills National Wildlife Refuge is an overlay on the Corps of Engineers John Redmond Reservoir in eastcentral Kansas. The Refuge is managed to provide spring and fall habitat and food for migrating shorebirds and waterfowl. Water from the Neosho River, which supplies John Redmond Reservoir, is of fair quality. Contaminants in it are largely from offsite and diverse agricultural areas as well as oil production and storage facilities in the northern portion of the watershed. In addition, several pipelines cross the north side of the Refuge. Thus, contaminants can enter the Refuge through the surface water, and accumulate in sediments and migratory bird foods within the Refuge impoundments. Although managers of FHNWR suspect agricultural chemicals may be present inthe water entering the Refuge, the water has not previously been tested for contaminants. The purpose of this project was to evaluate agriculture and oilrelated contaminant inputs to the Refuge and develop a GIS database for management use. The studys sampling design was not intensive, and therefore is not a conclusive evaluation of contaminant sources and loads into FHNWR. However, the data can be a useful screen for future investigations. Waterborne concentrations of atrazine, 2,4D, and alachlor compounds were found in surface waters entering FHNWR in 1997. In 1999, only one site had a detection of any pesticide compound. Low concentrations of aliphatic hydrocarbons and polycyclic aromatic hydrocarbons were infrequently detected in sediments and benthic invertebrates. Only one organochlorine contaminant dicamba was detected and that was found in only one sample. A major limitation to this study includes the lack of repeat sampling within a time period. Also, we were unable to precisely time sampling with precipitation events. We mostly likely did not detect the maximum concentrations that occurred during a sampling period. Therefore, our data probably do not represent the full range or duration of pesticide loadings to FHNWR.


Published By Department of Labor

Issued almost 10 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

Following its sampling plan, OSHA industrial hygienists are monitoring workers engaged in the oil spill clean up in the Gulf of Mexico for exposure to hazardous chemicals and conditions. These data tables provide sample results for chemicals, noise, and heat stress index measurements. Samples to assess airborne concentrations of oil, weathered oil, oil dispersants, cleaning agents and other materials as identified are taken. When evaluating worker exposure, direct reading instruments and shift-long sampling is performed in the actual breathing zone of workers. OSHA has also sampled areas that are periodically frequented by workers but the samples are not taken from the breathing zone of workers. Finally, OSHA has sampled directly over tar balls, inside bags containing contaminated materials, and other locations that do not represent worker exposure but provide information on the types of chemicals that may be coming off contaminated materials.


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

Issued almost 10 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

From June 21 to 25, 1990, 21 largemouth bass Micropterussa salmoides and five spotted gar Lepisosteus oculatus were collected from selected locations at the Florida Panther National Wildlife Refuge, Collier County, Florida for analysis of mercury concentrations in muscle tissue. The largemouth bass were from 223 to 371 mm 8.814.6 in in length. Mercury concentrations ranged from 0.19 to 0.82 mgkg wet wt ppm. Fortythree percent of the bass, including at least one individual in all length classes greater than or equal to 229 mm 9 in, had mercury levels that exceeded the Florida limitedconsumption concentration of 0.5 ppm wet weight. The spotted gar were from 410 to 750 mm 16.129.5 in in length. Mercury levels in all gar range 0.72 to 1.45 ppm exceeded the limited consumption concentration. None of the fish had concentrations of mercury in excess of Floridas noconsumption concentration 1.5 ppm. Although all the locations sampled appeared to provide environments conducive for accumulation of mercury in largemouth bass and spotted gar, bioaccumulation was greater at two sampling stations Canal 2 west of State Highway 29 and Bullet Pond. Several fish and wildlife trust species may be at risk when utilizing the habitat areas sampled. Additional environmental contaminant studies to determine the scope, magnitude and effects of mercury contamination are recommended.


Published By Office of Personnel Management

Issued almost 10 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

Freedom of Information Act (FOIA) logs. Currently, the logs for July 2012-July 2014 are posted.


Published By Department of Transportation

Issued almost 10 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 database contains scheduled and actual departure and arrival times, reason of delay. reported by certified U.S. air carriers that account for at least one percent of domestic scheduled passenger revenues. The data is collected by the Office of Airline Information, Bureau of Transportation Statistics (BTS).


Published By Federal Emergency Management Agency, Department of Homeland Security

Issued almost 10 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 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.


Published By National Aeronautics and Space Administration

Issued almost 10 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

Li-ion battery safety has inspired many safety features from CID, to safety valves. However, none of the current features protect a battery from internal over-current, which can be caused by foreign material contamination, dendrite formation, defects in separator or high impact on the battery. Another problem is that these devices shut-down the function of the entire battery, even when the problem arises from a localized spot. The entire battery shutdown is costly, especially when the battery size increases. Space batteries are especially of concern because of long mission life and large battery size. Quallion is interested in using a novel material developed by UCSB as a means to accomplish a battery which eliminates short circuits via a thermal trigger; this material could be used to develop safe, high-energy high energy, long life li-ion space rated batteries.


Published By National Aeronautics and Space Administration

Issued almost 10 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 Urban Place Time-Series Population of Mexico contains population counts for more than 700 urban centers every 10 years from 1921 through 1990. The urban centers include metropolitan, conurbation, and city areas with more than 5,000 inhabitants as of 1980. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).


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

Issued almost 10 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 present report summarizes findings of a threeyear field study of mercury in freshwater lakes of Vermont and New Hampshire. The study was undertaken jointly by the Vermont Department of Environmental Conservation, New Hampshire Department of Environmental Services, and Syracuse University. The study was designed specifically to determine the generalized level of mercury contamination in sediment, water, and biota of multiple trophic levels across the VTNH region, using a geographically randomized approach. This type of approach ensures that results provide a statistically valid representation of regionwide conditions. In this summary, average mercury concentrations are provided for several types of measurements, along with the 95 confidence intervals. Results of data analyses are highlighted, and interpretations that carry significant management implications are discussed. These values are discussed in light of currently available guidelines or water quality criteria.


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

Issued almost 10 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

To determine the relative needs of the U.S. Fish and Wildlife Service, the Federal Highway Administration FHWA was asked to inventory all public access and administrative Service use only roads and parking lots and provide a condition assessment of each. This report summarizes the inventory for Chase Lake Prairie Project Wetland Management District.All roads and parking lots were mapped using Trimble GPS units and visually assessed for condition using the RSL method of evaluation developed at Utah State University. A cost estimate for maintenance and construction of roads is provided in the report.


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

Issued almost 10 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 data set consists of four images showing seasonal sea surface temperature (SST) averages for the entire earth. Data for the years 1985-2001 are averaged to produce each seasonal image. The seasons are January-March (sst001i4km.tif), April-June (sst002i4km.tif), July-September (sst003i4km.tif), and October-December (sst004i4km.tif). These SST data are the result of the 4 km Pathfinder effort at the National Oceanic and Atmospheric Administration (NOAA) National Oceanographic Data Center (NODC) and the University of Miami's Rosenstiel School of Marine and Atmospheric Science (RSMAS), which uses data from the NOAA-9, NOAA-11, NOAA-14, and NOAA-16 satellites. The 4 km Pathfinder effort at NODC is an improvement to the original Pathfinder program, which was jointly developed by the National Aeronautics and Space Administration (NASA) and NOAA to provide long-term, consistently calibrated global change data sets to Earth scientists. One of the data sets selected for the Pathfinder project was collected by the Advanced Very High Resolution Radiometer (AVHRR), a scanning radiometer flying onboard polar orbiters operated by NOAA. The original AVHRR Pathfinder Program involved four separate elements: Atmosphere, Land, Oceans, and Calibration. The objective of the AVHRR Oceans Pathfinder was to develop a long and consistent time series of global sea surface temperature (SST) fields. The Pathfinder Project at NODC carries on this objective. The files for each season, also known as seasonal climatologies, are available both as 16-bit (pixel values from 0 to 65535) Hierarchical Data Format (.HDF) data files and as 8-bit (pixel values from 0 to 255) GeoTIFF images. This data set is also referred to as 4 km NODC/RSMAS AVHRR Pathfinder v.5.0 Seasonal Climatologies (1985-2001).