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Streamflow and water-quality data collected at the Green River near Colrain, MA 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 Connecticut River at Thompsonville, CT; go to: https://www.sciencebase.gov/catalog/item/595e6b16e4b0d1f9f05702fd for the complete dataset and associated metadata. Possible file types include: aflow.csv: Annual flow data; aloads.csv: Annual water-quality load data; dflow.csv: Daily flow data; discqw.csv: Discrete water-quality results; mflow.csv: Monthly flow data; mloads.csv: Monthly water-quality load data; pestname.csv: Pesticide abbreviations, long names, USGS parameter codes, and (CAS) numbers; pestsamp.csv: Discrete pesticide results
Categories: Data
Streamflow and water-quality data collected at the Alabama River at Claiborne AL; go to: https://www.sciencebase.gov/catalog/item/595e6b16e4b0d1f9f05702fd for the complete dataset and associated metadata. Possible file types include: aflow.csv: Annual flow data; aloads.csv: Annual water-quality load data; dflow.csv: Daily flow data; discqw.csv: Discrete water-quality results; mflow.csv: Monthly flow data; mloads.csv: Monthly water-quality load data; pestname.csv: Pesticide abbreviations, long names, USGS parameter codes, and (CAS) numbers; pestsamp.csv: Discrete pesticide results
Categories: Data
Streamflow and water-quality data collected at the Canajoharie Creek near Canajoharie, NY; go to: https://www.sciencebase.gov/catalog/item/595e6b16e4b0d1f9f05702fd for the complete dataset and associated metadata. Possible file types include: aflow.csv: Annual flow data; aloads.csv: Annual water-quality load data; dflow.csv: Daily flow data; discqw.csv: Discrete water-quality results; mflow.csv: Monthly flow data; mloads.csv: Monthly water-quality load data; pestname.csv: Pesticide abbreviations, long names, USGS parameter codes, and (CAS) numbers; pestsamp.csv: Discrete pesticide results
Categories: Data
Streamflow and water-quality data collected at the Grand River near Sumner, MO; go to: https://www.sciencebase.gov/catalog/item/595e6b16e4b0d1f9f05702fd for the complete dataset and associated metadata. Possible file types include: aflow.csv: Annual flow data; aloads.csv: Annual water-quality load data; dflow.csv: Daily flow data; discqw.csv: Discrete water-quality results; mflow.csv: Monthly flow data; mloads.csv: Monthly water-quality load data; pestname.csv: Pesticide abbreviations, long names, USGS parameter codes, and (CAS) numbers; pestsamp.csv: Discrete pesticide results
Categories: Data
Streamflow and water-quality data collected at the Red Butte Creek at Fort Douglas near Salt Lake City, UT; go to: https://www.sciencebase.gov/catalog/item/595e6b16e4b0d1f9f05702fd for the complete dataset and associated metadata. Possible file types include: aflow.csv: Annual flow data; aloads.csv: Annual water-quality load data; dflow.csv: Daily flow data; discqw.csv: Discrete water-quality results; mflow.csv: Monthly flow data; mloads.csv: Monthly water-quality load data; pestname.csv: Pesticide abbreviations, long names, USGS parameter codes, and (CAS) numbers; pestsamp.csv: Discrete pesticide results
Categories: Data
Streamflow and water-quality data collected at the East Fork Dairy Creek near Meachan Corner, OR; go to: https://www.sciencebase.gov/catalog/item/595e6b16e4b0d1f9f05702fd for the complete dataset and associated metadata. Possible file types include: aflow.csv: Annual flow data; aloads.csv: Annual water-quality load data; dflow.csv: Daily flow data; discqw.csv: Discrete water-quality results; mflow.csv: Monthly flow data; mloads.csv: Monthly water-quality load data; pestname.csv: Pesticide abbreviations, long names, USGS parameter codes, and (CAS) numbers; pestsamp.csv: Discrete pesticide results
Categories: Data
Streamflow and water-quality data collected at the Whisky Chitto Creek near Oberlin, LA; go to: https://www.sciencebase.gov/catalog/item/595e6b16e4b0d1f9f05702fd for the complete dataset and associated metadata. Possible file types include: aflow.csv: Annual flow data; aloads.csv: Annual water-quality load data; dflow.csv: Daily flow data; discqw.csv: Discrete water-quality results; mflow.csv: Monthly flow data; mloads.csv: Monthly water-quality load data; pestname.csv: Pesticide abbreviations, long names, USGS parameter codes, and (CAS) numbers; pestsamp.csv: Discrete pesticide results
Categories: Data
This data release consists of the data used to develop SPAtially Referenced Regression On Watershed(SPARROW) attributes models for estimating loads of total phosphorus and total nitrogen in Tennessee streams. These data support the publication containing the Tennessee SPARROW models results (Hoos and others, 2019) and include model input used in the South Atlantic-Gulf Drainages and Tennessee River Basin (SAGT) nutrient SPARROW models (Hoos and McMahon, 2009; Garcia and others, 2011) as well as model input for river basins in Tennessee not included in the domain of the published SAGT SPARROW models. Also included in this data release are model coefficients, the software required to execute the Tennessee SPARROW...
The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers (USACE), conducted a study from June 2014 through November 2014 to identify the hydrologic, chemical and microbiologic processes affecting declining pump performance and frequent pump failure at a confined disposal facility (CDF) in East Chicago, Indiana. Solid phase samples were collected from monitoring and extraction wells from September to November 2014. Qualitative and quantitative x-ray diffraction (XRD) analyses were done on eight samples of pump scrapings collected from five extraction wells (EW-4C, EW-4D, EW-11D, EW-20D) and one monitoring well (MW-4B). The data set includes a comma-separated value (.csv) file of XRD...
The original time series and cross power data were stored in Binary format on 3.5" disks until further conversion was needed. To convert the time series and cross power data to a format that can be used for modeling, the original binary files were converted to ASCII format using Basic 4.0 code and associated subroutines (see Magnetotelluric_Original-Code_Binary-to-Ascii.txt and Magnetotelluric_Original-Code_Binary-to-Ascii-Subroutines.txt attached to the binary data ScienceBase item). The DaR project used these converted ASCII format files to create the EDI format files included in this data release. The binary data are considered the original data for the magnetotelluric survey, therefore, they are provided with...
Hurricane Harvey made landfall near Rockport, Texas on August 25 as a category 4 hurricane with wind gusts exceeding 150 miles per hour. As Harvey moved inland the forward motion of the storm slowed down and produced tremendous rainfall amounts to southeastern Texas and southwestern Louisiana. Historic flooding occurred in Texas and Louisiana as a result of the widespread, heavy rainfall over an 8-day period in Louisiana in August and September 2017. Following the storm event, U.S. Geological Survey (USGS) hydrographers recovered and documented 2,123 high-water marks in Texas, noting location and height of the water above land surface. Many of these high-water marks were used to create flood-inundation maps for...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Austin County,
Bellville,
Bessies Creek,
Booth,
Brazoria County,
This dataset is a digital elevation model (DEM) of the beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1-meter (m; 3.28084 foot [ft]) cell size and was created from a LAS (industry-standard binary format for storing large point clouds) dataset of terrestrial light detection and ranging (LiDAR) data with an average point spacing of 0.137 m (0.45 ft). LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). References: Huizinga, R.J. and Wagner, D.M., 2019, Erosion monitoring along selected bank locations of the Coosa River in Alabama using terrestrial light detection and ranging...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
LAS,
These data include a row for each duck nest equipped with a small video camera. We present the location of the nest, the timing of the start of hatch, the timing of the end of hatch, and the timing of the departure of the hen and ducklings from the nest. Additionally, this table includes any predators that were observed at the nest depredating eggs prior to hatch and any predators that were observed at the nest between hatch and departure from the nest. These data support the following publication: "Sitting ducklings: Timing of hatch, nest departure, and predation risk for dabbling duck broods" by Sarah H. Peterson, Joshua T. Ackerman, Mark P. Herzog, C. Alex Hartman, Rebecca Croston, Cliff L. Feldheim, and Michael...
Categories: Data;
Tags: Grizzly Island Wildlife Area,
Mareca strepera,
Suisun Marsh,
USGS Science Data Catalog (SDC),
Wildlife Biology,
The sea-cliff bedstraw (Galium buxifolium) data set contains two types of information, formatted as CSVs: 1) Spatial coordinates (WGS 84) of known population occurrences on Santa Cruz and San Miguel Islands, California, as of 2006 (sensitive locality information); 2) Demographic data measured at four populations growing on Santa Cruz Island. Three of the populations were measured in 2005 and 2006, the fourth was measured in 2005, 2006, 2008, 2010, 2011, and 2014. These data support the following publication: McEachern, K., Chess, K.A., Flagg, K., and Niessen, K.G., 2019, Sea-cliff bedstraw (Galium buxifolium) patterns and trends, 2005–14, on Santa Cruz and San Miguel Islands, Channel Islands National Park, California:...
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 RCP8.5 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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Colorado Plateau,
Great Basin,
This data release includes characteristics of wetland catchments associated with U.S. Fish and Wildlife conservation easement lands located in the Prairie Pothole Region of North Dakota. Characteristics include wetland catchment areas, slope length, land use, soil mapping unit, and slope grades of representative soils. County and ecoregion also are included. Summary data pertaining to lateral setback distances, or drainage setbacks, also are presented by county and soil mapping unit for a range of subsurface drainage system characteristics (i.e., drain pipe depth and diameter). Additionally, calculated variables used for data analyses and presentation in the manuscript associated with this data release are included.
Categories: Data;
Tags: North Dakota,
USGS Science Data Catalog (SDC),
conservation easements,
environment,
hydrology,
Solid organic matter (OM) in sedimentary rocks produces petroleum and solid bitumen when it undergoes thermal maturation. The solid OM is a 'geomacromolecule', usually representing a mixture of various organisms with distinct biogenic origins, and can have high heterogeneity in composition. Programmed pyrolysis is a common conventional method to reveal bulk geochemical characteristics of the dominant OM while detailed organic petrography is required to reveal information about the biogenic origin of contributing macerals. Despite advantages of programmed pyrolysis, it cannot provide information about the heterogeneity of chemical compositions present in the individual OM types. Therefore, other analytical techniques...
This data release contains the boundaries of assessment units and input data for the assessment of undiscovered gas hydrate resources on the north slope of Alaska. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Assessment Unit,
Continuous Assessment Unit,
Earth Science,
Economic geology,
Energy Resources,
A Soil-Water-Balance (SWB) model was developed to estimate annual recharge and evapotranspiration (ET) for Fauquier County, Virginia, for the period 1996 through 2015. The model was developed as part of a study to assess groundwater availability in the fractured-rock aquifers underlying Fauquier County. The model is documented in the associated report, U.S. Geological Survey (USGS) Scientific Investigations Report 2019-5056. The model was calibrated by comparing annual base-flow estimates from the hydrograph separation technique PART to annual recharge estimates from the SWB model for available years of streamflow record at two sites (01643700 and 01656000) within the model area. Selected SWB model parameters were...
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