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Person

Jordan L Wilson

Hydrologist

Central Midwest Water Science Center

Email: jlwilson@usgs.gov
Office Phone: 573-308-3539
Fax: 573-308-3645
ORCID: 0000-0003-0490-9062

Location
1400 Independence Road
Rolla , MO 65401-2602
US

Supervisor: Amy M Russell
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These data were collected in coordination with the U.S. Geological Survey Hydrogeophysics Branch for the National Crude Oil Spill Fate and Natural Attenuation Research Site. Water quality data were collected using an Ecomapper Autonomous Underwater Vehicle (AUV) and measured parameters include temperature, specific conductance, salinity, water density, pH, dissolved oxygen, total chlorophyll, and blue-green algae. These data are provided in two formats: a CSV file named AUV_WQ_South.csv, and in the Environmental Systems Research Institute (ESRI) shapefile format consisting of a group of files that have been compressed into a zip archive that is named AUV_WQ_South_shapefile.zip.
This U.S. Geological Survey (USGS) Data Release contains tree-core, soil-gas, and soil data collected at the Vienna Wells Superfund site in Vienna, Missouri by the U.S. Geological Survey between 2011 and 2016. Concentrations of tetrachloroethylene (PCE) are reported for each sample in each medium. Tree-core sampling was conducted over two days (July 29, 2014 and May 21, 2015). Trees sampled on July 29, 2014 were used to calculate concentration centroids for each tree to compare with concentration centroids in soil samples. Tree 29 was sampled on May 21, 2015 to characterize and model tetrachloroethylene concentrations within a single tree. An interpolated soil surface was created from 1,016 soil samples (see doi:...
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These data contain concentrations of major and trace elements in quality-assurance samples.These are the machine-readable versions of Tables 2–5 from the U.S. Geological Survey Scientific Investigations Report, Distribution of Mining Related Trace Elements in Streambed and Floodplain Sediment along the Middle Big River and Tributaries in the Southeast Missouri Barite District, 2012-15 (Smith and Schumacher, 2018). Table_2 contains concentrations of major and trace elements in regular and replicate streambed-sediment samples in samples BR-02 and BR-04. Each sample was sieved and analyzed for concentrations within the less than 2-, less than 0.250-, and less than 0.063-mm size fraction. Averaged relative percent...
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These data sets were created in support of the U.S. Geological Survey's (USGS) Next Generation Water Observing System (NGWOS) for the Delaware River Basin pilot study (Eberts, Wagner, and Woodside, 2019). The NGWOS utilizes real-time data, improved computational capabilities, and new technologies such as the rapid deployment of unmanned aerial vehicle's (UAV) and autonomous underwater vehicle's (AUV) to provide information on water quantity and quality, in more locations, quickly and efficiently (Eberts, Wagner, and Woodside, 2019). Combined with advanced modeling applications, the NGWOS will be an important tool for water-resource managers and emergency management. Water-quality and bathymetric data were measured...
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Autonomous Underwater Vehicles (AUVs) are instruments that collect water-quality, depth, and other data in waterbodies. They produce complex and massive datasets. There is currently no standard method to store, organize, process, quality-check, analyze, or visualize this data. The Waterbody Rapid Assessment Tool (WaterRAT) is aPython application that processes and displays water-quality data with interactive two-dimensional and three-dimensional figures, but it runs offline with few capabilities and for just one study site. This project will transition WaterRAT to an online application that the public can easily use to view all AUV data. A database of all AUV datasets will be developed to improve accessibility,...
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