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This U.S. Geological Survey (USGS) Data Release provides phytoplankton data collected from Nolin Lake, Kentucky, during August 15-19, 2016. The digital dataset includes samples collected at six U.S. Army Corps of Engineers (USACE) sites on Nolin River Lake. Phytoplankton were identified to the lowest possible taxonomic level and abundance (density) and biovolume are reported.
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is the digital hydrologic unit boundary layer for the 8-digit subwatershed boundaries for the conterminous United States. This dataset is intended to be used with the following two tabular dBase files: https://water.usgs.gov/lookup/getspatial?ds573_tillage_lu92e and https://water.usgs.gov/lookup/getspatial?ds573_tillage_lu01. The two tabular datasets contain the Tillage Practices in the Conterminous United States, 1989-2004---Datasets...
A rain garden and other stormwater control measures (SCM) were installed at Gary City Hall in Gary, Indiana to retain water, increase infiltration and divert stormwater from city sewers. These input data were collected from a rain gage ((USGS site 413611087201301, City Hall Weather Station at Gary, IN.) and five monitoring wells with installed pressure transducers at different locations (see site description). The Episodic Master Recession (EMR) method is applied using these data as the singular input to estimate the amount of groundwater recharge at each of the five sites during the indicated period of time. References cited: Heppner, C.S., and Nimmo, J.R., 2005, A computer program for predicting recharge with...
This U.S. Geological Survey Data Release provides data collected from Nolin Lake Kentucky, during 2016 to 2017. Two types of data are reported: zooplankton and phytoplankton data are raw calculated values not rounded to USGS significant figures and continuous water-quality data collected with a multi-parameter sonde. The zooplankton, phytoplankton, and water-quality data describe a swarm of the invasive cladoceran Daphnia lumholtzi (D. lumholtzi) Sars, 1885 in a Kentucky USA reservoir during midwinter 2017.
Digital flood-inundation maps for an approximate 2.5-mile (mi) reach of the Clear Fork Mohican River that extends approximately from State Route 97 to the downstream corporate boundary for Bellville, Ohio, were created by the U.S. Geological Survey (USGS) in cooperation with the Muskingum Watershed Conservancy District. The flood-inundation maps show estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Clear Fork Mohican River at Bellville (station number 03131982). The maps can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/. Near-real-time stages at this streamgage...
This data release includes physical and chemical data for samples from fluvial targets (streambed and suspended sediment) from three sampling sites in the Black Creek basin, Indiana. Data include total nitrogen and carbon concentrations, carbon species, total concentrations for 42 metals, and particle-size analysis. Fluvial-target samples include both soft, streambed sediment and streamflow-integrated, monthly, suspended-sediment samples for water year 2018. These data are used for source attribution in order to quantify the proportional contribution of individual sources to suspended sediment in the basin [Williamson et al. in revision].
Categories: Data;
Tags: Allen,
Indiana,
USGS Science Data Catalog (SDC),
Upper Maumee,
Western Lake Erie,
Site-specific multiple linear regression models were developed for eight sites in Ohio—six in the Western Lake Erie Basin and two in northeast Ohio on inland reservoirs--to quickly predict action-level exceedances for a cyanotoxin, microcystin, in recreational and drinking waters used by the public. Real-time models include easily- or continuously-measured factors that do not require that a sample be collected. Real-time models are presented in two categories: (1) six models with continuous monitor data, and (2) three models with on-site measurements. Real-time models commonly included variables such as phycocyanin, pH, specific conductance, and streamflow or gage height. Many of the real-time factors were averages...
Velocity and water-quality surveys were completed along an approximately 71-mile reach of the Ohio River between Markland Locks and Dam (river mile 531.5) and McAlpine Locks and Dam (river mile 606.8) on October 27–November 4, 2016 (survey #1), and June 26–29, 2017 (survey #2). Water-quality data collected in this reach included surface measurements and vertical profiles of water temperature, specific conductance, pH, dissolved oxygen, turbidity, chlorophyll, and phycocyanin. Streamflow and velocity data were collected simultaneous to the water-quality data at cross-sections and along longitudinal lines (corresponding to the water-quality surface measurements) and at selected stationary locations (corresponding...
These data are bathymetry (river bottom elevation) and depth-averaged velocities generated from the September 17–18, 2020, survey of the Kentucky Dam tailwater from just downstream from Kentucky Dam to approximately 1,500 feet upstream from the I-24 bridge (about 1 mile total length). Bathymetry and velocity data were collected using an acoustic Doppler current profiler (ADCP) with an integrated global navigation satellite system (GNSS) smart antenna with submeter accuracy. The ADCP and GNSS antenna were mounted on a marine survey vessel, and data were collected as the survey vessel traversed the tailwater along planned survey lines. There was typically one reciprocal pair (two passes) of data collected per line....
These orthophotos and digital surface models (DSMs) were derived from low-altitude (approximately 92-m above ground surface) images collected from unmanned aerial system (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 1039919,
1560905,
1564367,
1572198,
431130,
The primary data sets consist of continuous water-quality data (temperature, specific conductance, pH, dissolved oxygen, turbidity, nitrate plus nitrite, and streamflow) from in-situ equipment, and discrete water-quality samples (total nitrogen, total phosphorus, suspended sediment concentration, and suspended sediment sieve diameter) collected during site visits at the USGS streamgage School Branch at CR750N at Brownsburg, Indiana, November 17, 2015 to February 6, 2019. The continuous and discrete measurements were used to develop regression models which may be used to compute concentrations and loads of suspended sediment, total nitrogen, and total phosphorus. The secondary data sets consist of daily streamflow,...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Indiana,
Midwest,
Sedimentology,
USGS Science Data Catalog (SDC),
Water Quality,
This data release includes physical and chemical data for samples from suspended and bottom sediments of streams in Minnesota. Data were collected in September 2011 and April 2012. These data include total nitrogen and carbon, organic carbon, concentrations for 39 metals, and particle-size analysis. Source samples were grouped into one of three land-use categories: channel (Mid-bank,Low-bank), cropland (corn, sugar beets, soybeans, bare field), or road. These data were used for source attribution in order to quantify the proportional contribution of individual sources to suspend sediment in the basin.
Categories: Data;
Tags: Minnesota,
Renville,
USGS Science Data Catalog (SDC),
Water Resources,
agriculture,
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This vector coverage of hydrography centerlines was derived from the National Hydrography Dataset (NHD), and encompasses all of Ohio and portions of Indiana, Michigan, Kentucky, West Virginia, Pennsylvania, and New York. This coverage is comprised of 105 Catalog Units (CUs) obtained from http://nhd.usgs.gov/. Each CU approximately represents a single 8-digit Hydrologic Unit Code (HUC).
This Open Geospatial Consortium (OGC) GeoPackage (.gpkg) contains water-well point features and associated tables for the state of Oklahoma that have been reformatted based on a USGS profile of the OGC GroundWaterML2 (GWML2) standard (https://docs.ogc.org/is/19-013/19-013.html). The water-well records provided in this data set have not received additional processing or interpretation by the USGS beyond the GWML2 standardization. The National Water-Well Database (NWWDB) is a compilation of water-well records from state-managed databases that have been standardized to a common format for consistency across state and administrative boundaries. Water-well completion reports that are submitted to permitting state agencies...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: North America,
Oklahoma,
United States,
bedrock geologic units,
data integration,
This Open Geospatial Consortium (OGC) GeoPackage (.gpkg) contains water-well point features and associated tables for the state of Oklahoma that have been reformatted based on a USGS profile of the OGC GroundWaterML2 (GWML2) standard (https://docs.ogc.org/is/19-013/19-013.html). Additionally, the water-well records have been quality-assured to remove or nullify parts of water-well records found to be erroneous or logically inconsistent, harmonized via the assignment of common data codes in the lithologic log, and supplemented with estimates of transmissivity from the analysis of specific-capacity data. The National Water-Well Database (NWWDB) is a compilation of water-well records from state-managed databases that...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: North America,
Oklahoma,
United States,
bedrock geologic units,
data integration,
A two-dimensional model and digital flood-inundation maps were developed for a 30-mile reach of the Wabash River near the Interstate 64 (I-64) Bridge near Grayville, Illinois. The flood-inundation maps, which can be accessed through the U.S. Geological Survey (USGS) Flood Inundation Mapping Science web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Wabash River at Mount Carmel, Ill (USGS station number 03377500). Near-real-time stages at this streamgage may be obtained on the internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National...
Categories: Data;
Types: Citation;
Tags: Geomorphology,
Gibson County,
Grayville,
Hydrogeology,
Illinois,
The Archive.zip data set contains R source code and inputs and outputs associated with regression analyses used to estimate total phosphorus loads for 23 sites on Great Lakes tributaries, water years 2014–2018
In 2015-16, the U.S. Geological Survey (USGS), in cooperation with the Muskingum Watershed Conservancy District, conducted a study to assess baseline (2015-16) surface-water quality in six lake basins within the Muskingum River watershed that are in the early years of shale-gas development. Six samples were collected at each of 30 sites to characterize surface-water chemistry over a range of hydrologic conditions. Quality-control (QC) samples collected before and during sampling included blanks and replicates. Blank samples were used to check for contamination during sample collection, processing, equipment cleaning, and/or analysis. Replicate samples were used to determine the reproducibility/variability in the...
Categories: Data;
Tags: Atwood Lake,
Clendening Lake,
Leesville Lake,
Muskingum River,
Muskingum River watershed,
This data release contains data sets and R code used to create regression models for estimating daily flux of suspended sediment, total nitrogen, and total phosphorus at the Kankakee River at Shelby, IN (05518000) streamgage. The models were developed using discrete water-quality data and concurrent daily streamflow data measured/determined at the streamgage for the period January 2016 through May 2018. Also, included is a daily streamflow input data set and daily flux output data sets that were developed by application of the regression models. The USGS rloadest package was used to develop the regression models and flux estimates. Summary information for the models for each constituent are included in this data...
This data release includes physical and chemical data for samples from upland-source and streambank sampling sites in the Black Creek basin, Indiana. Data include total nitrogen and carbon concentrations, carbon species, total concentrations for 42 metals, and particle-size analysis. Source samples were identified as one of five land-use types: active cropland (corn, soybean, hay, and wheat), active horse pasture, roads, preserved forest, and streambanks of agricultural and non-agricultural channels. Source data were collected in August and September 2017. These data are used for source attribution in order to quantify the proportional contribution of individual sources to suspended sediment in the basin [Williamson...
Categories: Data;
Tags: Allen,
Indiana,
USGS Science Data Catalog (SDC),
Upper Maumee,
Western Lake Erie,
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