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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:...
These monthly water-use rasters estimate the total amount of groundwater used for aquaculture and irrigation purposes within the Mississippi Alluvial Plain during the growing season (April-October). This dataset contains 798 monthly water-use rasters for 6 different categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Units are in cubic meters per square mile.
The annual water-use rasters estimate the total amount of groundwater used for aquaculture and irrigation purposes within the Mississippi Alluvial Plain. This dataset contains 19 annual water-use rasters that are totals of 6 different use categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Units are in cubic meters per square mile.
Monthly Aquaculture and Irrigation Water-Use Estimates for the Mississippi Alluvial Plain, 1999-2017
These monthly water-use rasters estimate the total amount of groundwater used for aquaculture and irrigation purposes within the Mississippi Alluvial Plain during the growing season (April-October). This dataset contains 133 monthly water-use rasters that are totals of 6 different categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Units are in cubic meters per square mile. Aquaculture and irrigation water-use estimates are included in this data release in two different formats: georeferenced TIFFs (GeoTIFFs) for simple viewing and geospatial operations and a network common data form (NetCDF) for use in modeling applications and with each month as a separate raster array table.
These datasets 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 unmanned aerial vehicles (UAV) and autonomous underwater vehicles (AUV) to provide information on water quality and/or quantity, 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. In this study, water-quality and bathymetric data were measured with an...
These data contain concentrations of tetrachloroethylene in shallow groundwater samples collected in 2015 by the U.S. Environmental Protection Agency (EPA). These data are a subset of all the groundwater at the site. Samples were collected using direct-push technology. Only samples collected within the study area on 1 of the 10 sampling periods discussed in the journal article are included in this data set. In order to protect personally identifiable information (PII), all data collected by the U.S. Environmental Protection Agency do not contain spatial information. Please contact the U.S. Environmental Protection Agency for permission and access to spatial information for these samples. These data support...
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...
Categories: Data;
Tags: Middle Big River,
Southeast Missouri Barite District,
XRF,
biota,
flood plain,
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...
Categories: Data;
Tags: Delaware,
Delaware River,
Philadelphia,
Philadelphia County,
USGS Science Data Catalog (SDC),
Monthly Aquaculture and Irrigation Water-Use Estimates for the Mississippi Alluvial Plain, 1999-2017
These monthly water-use rasters estimate the total amount of groundwater used for aquaculture and irrigation purposes within the Mississippi Alluvial Plain during the growing season (April-October). This dataset contains 133 monthly water-use rasters that are totals of 6 different categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Units are in cubic meters per square mile. Aquaculture and irrigation water-use estimates are included in this data release in two different formats: georeferenced TIFFs (GeoTIFFs) for simple viewing and geospatial operations and a network common data form (NetCDF) for use in modeling applications and with each month as a separate raster array table.
These data contain concentrations of tetrachloroethylene in sub-slab samples collected from 2014 to 2016 by the U.S. Environmental Protection Agency (EPA). In order to protect personally identifiable information (PII), all data collected by the U.S. Environmental Protection Agency do not contain spatial information. Please contact the U.S. Environmental Protection Agency for permission and access to spatial information for these samples. These data support the following publication: Wilson, J.L., Limmer, M.A., Samaranayake, V.A., Schumacher, J.G., and Burken, J.G., 2017, Phytoforensics: trees as bioindicators of potential indoor exposure via vapor intrusion: PLoS ONE, v. 13, no. 2. https://doi.org/10.1371/journal.pone.0193247.
Note: this data release is currently being revised and is temporarily unavailable. This data release contains monthly and annual water-use estimates from the aquaculture and irrigation water-use model (AIWUM) version 1.1 for the Mississippi Alluvial Plain, April 1999 to October 2019. Aquaculture and irrigation estimates contained in this data release are representative of groundwater withdrawal for six different categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Contained in this data release are monthly and annual estimates by water-use category and monthly and annual total estimates. Monthly and annual totals are a summation of water use for aquaculture, cotton, corn, rice, soybeans,...
In cooperation with more than 10 local, State, and Federal stakeholders, the United States Geological Survey (USGS) is studying the aquifer systems in and near the Mississippi River alluvial plain (https://www2.usgs.gov/water/lowermississippigulf/map/index.html). This data release consists of continuous resistivity profiling (CRP) data collected by the USGS to characterize the electrical properties of geomorphological features in the part of the Mississippi River alluvial plain from Money, Miss. to Steiner, Miss. A total of 68 kilometers of multiple CRP profiles were obtained. The CRP data were collected by using the Ohmmapper TR-5 system (Geometrics, Inc., 2016) to determine if different geomorphological features...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Continuous Resistivity Profiling,
Geomorphology,
Geophysics,
Geophysics,
Greenville,
These annual water-use rasters estimate the total amount of groundwater used for aquaculture and irrigation purposes within the Mississippi Alluvial Plain. This dataset contains 114 annual water-use rasters for 6 different categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Units are in cubic meters per square mile.
These monthly water-use rasters estimate the total amount of groundwater used for aquaculture and irrigation purposes within the Mississippi Alluvial Plain during the growing season (April-October). This dataset contains 798 monthly water-use rasters for 6 different categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Units are in cubic meters per square mile.
These data contain concentrations of tetrachloroethylene in soil-gas samples collected in 2016 by the U.S. Environmental Protection Agency (EPA). In order to protect personally identifiable information (PII), all data collected by the U.S. Environmental Protection Agency do not contain spatial information. Please contact the U.S. Environmental Protection Agency for permission and access to spatial information for these samples. These data support the following publication: Wilson, J.L., Limmer, M.A., Samaranayake, V.A., Schumacher, J.G., Burken, J.G., 2017, Phytoforensics: trees as bioindicators of potential indoor exposure via vapor intrusion: PLoS ONE, v. 13, no. 2. DOI: 10.1371/journal.pone.0193247.
This data release contains monthly and annual water-use estimates from the Aquaculture and Irrigation Water-Use Model version 1.0 for the Mississippi Alluvial Plain, April 1999 to October 2017. Aquaculture and irrigation estimates contained in this data release are representative of groundwater withdrawal for six different categories: aquaculture, cotton, corn, rice, soybeans, and all other crops. Contained in this data release are monthly and annual estimates by water-use category and monthly and annual total estimates. Monthly and annual totals are a summation of water use for aquaculture, cotton, corn, rice, soybeans, and all other crops, by month and by year. Also contained in this data release are lands permitted...
Datasets are inputs and outputs of Aquaculture and Irrigation Water Use Model (AIWUM) 2.0. AIWUM 2.0 employs remote sensing data sets and machine learning utilizing Distributed Random Forests, an ensemble machine learning algorithm to estimate annual and monthly groundwater use for irrigation and aquaculture (2014–20) throughout this region at 1 km resolution, using annual pumping data from flowmeters in Mississippi and real-time flowmeters in Arkansas, Louisiana, Mississippi, Missouri, and Tennessee. Aquaculture and irrigation estimates contained in this data release are representative of groundwater withdrawal for six different categories: aquaculture, cotton, corn, rice, soybeans, and other crops. Model results...
These data contain concentrations of tetrachloroethylene in groundwater samples collected from 2011 to 2016 by the U.S. Environmental Protection Agency (EPA). Samples were collected using direct-push technology. These data include all groundwater samples collected in the study area regardless of collection date. Only data collected during 1 of the 10 sampling periods in the journal article were used in interpreations in the article. In order to protect personally identifiable information (PII), all data collected by the U.S. Environmental Protection Agency do not contain spatial information. Please contact the U.S. Environmental Protection Agency for permission and access to spatial information for these samples....
Concentrations of tetrachloroethylene in tree-core samples from tree 29 at the Vienna Wells site, Vienna, Missouri. Contains information on the height and side of the tree from where the sample was collected. These data support the following publication: Wilson, J.L., Samaranayake, V.A., Limmer, M.A., Schumacher, J.G., Burken, J.G., 2017, Contaminant Gradients in Trees: Directional Tree Coring Reveals Boundaries of Soil and Soil-Gas Contamination with Potential Applications in Vapor Intrusion Assessment: Environmental Science and Technology, Just Accepted Manuscript. DOI: 10.1021/acs.est.7b03466.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Superfund site,
contamination and pollution,
environment,
phytoforensics,
vegetation
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