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This data release provides access to a low-altitude, aeromagnetic survey over parts of Missouri, Arkansas, and Tennessee, an area centered about 100 km north of Memphis, Tennessee. The survey covers parts of the southern arm of the New Madrid seismic zone, the northwestern margin of the Reelfoot rift, the Blytheville arch, and the Commerce geophysical lineament (reference: Langenheim, V.E., and Hildenbrand, T.G., 1997, Geological Society of America Bulletin, v. 109, p. 580). The survey is underlain by Paleocene and younger sediments, consisting of silt, clay, sand, and gravel. Plutons and other intrusive rocks lie at depth. These data were acquired between July 12 and July 28, 2013, by EDCON-PRJ, Inc., working under...
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Located in the northern tropical Pacific Ocean, Majuro is the capital of the Republic of the Marshall Islands. Majuro Atoll consists of a large, narrow landmass and a set of smaller perimeter islands surrounding a lagoon that is over 100 square miles in size. The waters surrounding the Majuro Atoll land areas are relatively shallow with poorly mapped bathymetry. However, the Pacific Ocean on the exterior of the coral atoll and the lagoon within its interior consist of deep bathymetry with steep slopes. The highest elevation of the Majuro Atoll is estimated at only 3-meters above sea level, which is the island community of Laura located on the western part of the atoll. At the eastern edge of the atoll lies the capital...
Categories: Data; Tags: 3D Elevation Program, 3DEP, American Society of Photogrammetry and Remote Sensing, Base Maps, Bathymetric, All tags...
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This data release provides access to a low-altitude, aeromagnetic survey of a part of south-central Washington centered approximately 30 km east of Yakima and referred to as the Hanford aeromagnetic survey. The survey includes the city of Richland, numerous smaller communities, and the Hanford Site (https://www.hanford.gov). The Hanford aeromagnetic survey extends from the Columbia Plateau westward to the Cascade Range and illuminates magnetic anomalies associated with folds and faults of the Yakima folds, including the Toppenish Ridge, Ahtanum Ridge, Umtanum Ridge, Boyleston Mountain, Rattlesnake Mountain, Saddle Mountains, and Frenchman Hills anticlines. These data were acquired during September and October, 2009,...
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The U.S. Geological Survey collected topographic data in cooperation with the U.S. Army Corps of Engineers to assist in the management of two recreation areas at Blue Mountain Lake and near Nimrod Lake in Arkansas. Data were collected March 3-4, 2020 using terrestrial light detection and ranging (T-lidar) surveying equipment, Global navigation Satellite System (GNSS) surveying equipment, and conventional surveying techniques. The surveyed locations had a parking area, boat ramp, and some small recreational structures. Each site was surveyed using a FARO 3D tripod-mounted T-lidar unit. Additionally, a topographic survey was conducted in order to georeference the lidar survey. These topographic data were collected...
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This dataset provides location information for the seismic reflection line CRmv across Crowleys Ridge in the New Madrid seismic zone, central US. The seismic reflection data are interpreted and discussed in the associated publication
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The "MasterDB-csv-final2" dataset includes 548 laboratory measurements of sediment total mercury (STHg, nanograms per gram of soil, dry), bulk density (BD, grams per cm3 of soil, dry), percent of soil organic matter (%OM, loss on ignition, LOI), percent of soil organic carbon (%SOC, calculated using the Redfield's number), RHgC (Hg to carbon ratio), and age (YBP) from 13 permafrost cores collected from 2004 to 2012 in the interoir and northern slope of Alaska by trained personnel from the U.S. Geological Survey National Research Program and the National Snow and Ice Data Center in Boulder, Colorado.
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This dataset describes water-quantity and -quality data measured from the parking lot influent and underdrain and overflow effluent from the permeable asphalt, concrete and paver test plots in Madison, Wisconsin, USA. Data include precipitation statistics, volumes, and concentrations and loads of total and dissolved forms of solids, nutrients, chloride, and bacteria. Samples were collected in August 2014 through September 2016. These data are interpreted in a USGS Scientific Investigations Report.
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP4.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
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An initial reconnaissance survey in March 2016 and a subsequent survey in July 2016 was conducted to identify possible groundwater discharge points along the stream reach using a forward-looking infrared (FLIR) camera in seasonal extremes. The high-resolution thermal imaging camera captures the emitted infrared radiation of the objects in view. Recent studies using similar ground-based thermal infrared imaging techniques have been successful in qualitatively locating groundwater discharge along discrete features, such as fractures and faults, as well as diffuse seepage along stream banks (Deitchman and Loheide, 2009; Pandey and others, 2013). Sites of interest were those where temperature differences were observed...
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Samples were submitted for contract laboratory analysis as part of a study examining the occurrence of chromium and natural and anthropogenic hexavalent Chromium, Cr(VI) in groundwater. Data will be used to estimate naturally-occurring background Cr(VI) concentrations upgradient, near the plume margins, and downgradient from a mapped Cr(VI) contamination plume near Hinkley, CA (Izbicki and Groover, 2016). These Contract Lab results are part of the data release including grain-size distribution, photographic and associated chemical and mineral analysis data for 36 sediment core and alluvium samples as well as Scanning Electron Microscopy analysis on select grains from magnetic and heavy mineral separates collected...
Streamflow and water-quality data collected at the Brazos River near Rosharon, TX go to: https://www.sciencebase.gov/catalog/item/57d1c97de4b0571647cfd3d3 for the complete dataset and associated metadata.
Categories: Data
Streamflow and water-quality data collected at the Henrys Fork near Rexburg, ID go to: https://www.sciencebase.gov/catalog/item/57d1c97de4b0571647cfd3d3 for the complete dataset and associated metadata.
Categories: Data
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
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This data set includes dissolved oxygen (DO) and specific conductivity (SpC) data collected in both the surface water and shallow streambed at the Quashnet River, Mashpee, USA from 2014-16. This data was collected to better understand groundwater discharge to the river and associated brook trout habitat. DO was typically near saturation in surface water and some groundwater, but is reduced in streambed zones that may be influenced by buried peat lenses. SpC was used as an indicator of groundwater flowpath dynamics, and lower values were generally associated with higher DO.
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This dataset provides a subset of well construction information provided by the driller's well logs. Complete well logs can be accessed on the Minnesota Well Index online (http://www.health.state.mn.us/ divs/eh/cwi/).
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The dataset consists of site identification, location, temperature and CO2 flux from diffuse emission measurement at the Tiptop fire. A total of 40 CO2 flux measurements were made at 27 locations, including five points (seven measurements) outside of the active coal fire area.
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Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring Network (RIM) stations for the period 1985 through 2019. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.
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These data are .csv files of tagged sea otter re-sighting locations (henceforth, resights) collected in the field using a combination of VHF radio telemetry and direct observation using high powered (80x) telescopes. Sea otters were tracked by shore or boat-based observers from the date of tagging until the time of radio battery failure, the animal’s death, or the end of the project, whichever comes first. The frequency of re-sighting was opportunistic, depending on logistical factors such as coastal access, but generally ranged from daily to weekly. Location coordinates are reported latitude and longitude as well as X and Y coordinates in the projection/datum California Teale-Albers NAD 1927. The file contains...
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This dataset represents the relative average amount of non-woody cover within 2 ha) of bottomland along the Colorado River from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow, from high resolution, true color, aerial imagery (0.3m resolution), acquired for the project. Additional, public available aerial photos (NAIP, 2011) were used to cross-reference cover classes. As with any digital layer, this layer is a representation of what is actually occurring on the ground. Errors are inherent in any interpretation...


map background search result map search result map Digital Shoreline Analysis System version 4.3 Transects with Short-Term Linear Regression Rate Calculations for Louisiana Movements of Sea Otters in the Santa Barbara Channel Conservation Planning for the Colorado River in Utah - Open Areas for Open Land Species Model One Meter Topobathymetric Digital Elevation Model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016 Storm Characteristics, Concentrations, and Loads Measured at the Permeable Pavement Research Facility, Madison, Wisconsin (2014 - 2016) Selected well construction information Surface water and groundwater water chemistry data collected along the Quashnet River, Mashpee/Falmouth, MA Total mercury, bulk density, percent organic matter, and percent organic carbon measured in permafrost cores collected from 2004 through 2012 from the interior and northern slope of Alaska Site identification, location, temperature and CO2 flux from diffuse emission measurement at the Tiptop coal mine fire, Kentucky (2009) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 4.5) Thermal Imagery along Ellerbe Creek in Durham, North Carolina Contract laboratory results Location of Seismic Reflection Line CRmv High-Resolution Aeromagnetic Survey of the Hanford Area, Washington Terrestrial Light Detection and Ranging Topographic Survey Data for Two Recreation Areas Near Blue Mountain Lake and Nimrod Lake, Arkansas, March 2020 High-Resolution Aeromagnetic Survey Over the New Madrid Seismic Zone, Missouri, Arkansas, and Tennessee Chesapeake Bay River Input Monitoring Network 1985-2019: WRTDS output data Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs Site identification, location, temperature and CO2 flux from diffuse emission measurement at the Tiptop coal mine fire, Kentucky (2009) Storm Characteristics, Concentrations, and Loads Measured at the Permeable Pavement Research Facility, Madison, Wisconsin (2014 - 2016) Thermal Imagery along Ellerbe Creek in Durham, North Carolina One Meter Topobathymetric Digital Elevation Model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016 Terrestrial Light Detection and Ranging Topographic Survey Data for Two Recreation Areas Near Blue Mountain Lake and Nimrod Lake, Arkansas, March 2020 Surface water and groundwater water chemistry data collected along the Quashnet River, Mashpee/Falmouth, MA High-Resolution Aeromagnetic Survey Over the New Madrid Seismic Zone, Missouri, Arkansas, and Tennessee Conservation Planning for the Colorado River in Utah - Open Areas for Open Land Species Model High-Resolution Aeromagnetic Survey of the Hanford Area, Washington Digital Shoreline Analysis System version 4.3 Transects with Short-Term Linear Regression Rate Calculations for Louisiana Movements of Sea Otters in the Santa Barbara Channel Location of Seismic Reflection Line CRmv Selected well construction information Chesapeake Bay River Input Monitoring Network 1985-2019: WRTDS output data Total mercury, bulk density, percent organic matter, and percent organic carbon measured in permafrost cores collected from 2004 through 2012 from the interior and northern slope of Alaska Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 4.5) Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs