ADCP data were collected on two separate occasions (May 14-15, 2013 and May 28, 2013) in the Marseilles Pool on the Illinois River using a Teledyne Rio Grande 1200 kHz Acoustic Doppler Current Profiler with integrated Trimble GPS. ADCP data was collected in reciprocal pairs along cross-sections and along roughly streamwise oriented lines between cross-sections. The data are provided in: (1) a zipped folder containing classic ascii output files exported from WinRiverII software, and a README text file indicating which files are reciprocal pairs, and which files are streamwise oriented lines (2) a zipped folder containing KML files for each transect.
This dataset provides timeseries data on water quality and quantity, as collected or computed from outside sources. The format is many tables with one row per time series observation (1 tab-delimited file per site-variable combination, 1 zip file per site). This compilation of data is intended for use in estimating or interpreting metabolism. Sites were included if they met the initial criteria of having at least 100 dissolved oxygen observations and one of the accepted NWIS site types ('ST','ST-CA','ST-DCH','ST-TS', or 'SP'). This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release...
Air-free pH and specific conductance measurements for effluent generated during phosphate removal column experiment
These data represent the air-free pH and specific conductance per pore volume of effluent generated by the phosphate removal column experiment. Solid samples used for the columns are of modern and legacy iron and steel slag from the Chicago-Gary area of Illinois and Indiana, USA.
Fluvial Egg Drift Simulator (FluEgg) Results for 240 Simulations of Bighead Carp Egg and Larval Drift in the Illinois River
The Fluvial Egg Drift Simulator (FluEgg) estimates bighead, silver, and grass carp egg and larval drift in rivers using species-specific egg developmental data combined with user-supplied hydraulic inputs (Garcia and others, 2013; Domanski, 2020). This data release contains results from 240 FluEgg 4.1.0 simulations of bighead carp eggs in the Illinois River under steady flow conditions. The data release also contains the hydraulic inputs used in the FluEgg simulations and a KML file of the centerline that represents the model domain. FluEgg simulations were run for all combinations of four spawning locations, six water temperatures, and ten steady flow conditions. Each simulation included 5,000 bighead carp eggs,...
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.
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 2 Water temperature observations
Observed water temperatures from 1980-2019 were compiled for 2,332 lakes in the US. These data were used as training, test, and error-estimation data for process-guided deep learning models and the evaluation of process-based models. The data are formatted as a single csv (comma separated values) file with attributes corresponding to the unique combination of lake identifier, time, and depth. Data came from a variety of sources, including the Water Quality Portal, the North Temperate Lakes Long-Term Ecological Research Project, and digitized temperature records from the MN Department of Natural Resources. This dataset is part of a larger data release of lake temperature model inputs and outputs for these same lakes...
Data were collected on plant abundance in Illinois with the goal of determining correlations between the abundance of dominant plant taxa and other plant species.
Airborne electromagnetic (AEM), magnetic, and radiometric data were acquired November 2018 to February 2019 along 16,816 line-kilometers (line-km) over the Mississippi Alluvial Plain (MAP). Data were acquired by CGG Canada Services, Ltd. with three different helicopter-borne sensors: the CGG Canada Services, Ltd. Resolve frequency-domain AEM instrument that is used to map subsurface geologic structure at depths up to 100 meters, depending on the subsurface resistivity; a Scintrex CS-3 cesium vapor magnetometer that detects changes in deep (hundreds of meters to kilometers) geologic structure based on variations in the magnetic properties of different formations; and a Radiation Solutions RS-500 spectrometer that...
Site 31 Mississippi River Bathymetry and Velocimetry Data at Structure A5054 on Interstate 72 at Hannibal, Missouri, June 2014 and July 2018
These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Mississippi River near structure A5054 on Interstate 72 at Hannibal, Missouri, in 2014 and 2018. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position...
Site 37 Mississippi River Bathymetry and Velocimetry Data at Structure A5076 on Missouri State Highway 34 at Cape Girardeau, Missouri, June 2014 and July 2018
These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Mississippi River near structure A5076 on Missouri State Highway 34 at Cape Girardeau, Missouri, in 2014 and 2018. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal...
Monthly Aquaculture and Irrigation Water-Use Estimates by Use 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 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.
Hourly computed potential evapotranspiration in thousandths of an inch, January 1, 1948 - September 30, 2018
The text file "PET.txt" contains hourly potential evapotranspiration (PET) data, in thousandths of an inch, from January 1, 1948, to September 30, 2018. Daily PET were computed from average daily air temperature, average daily dewpoint temperature, daily total wind speed, and daily total solar radiation and disaggregated to hourly PET, using the Fortran program LXPET (Murphy, 2005). The primary source of the data is Argonne National Laboratory (Argonne National Laboratory, 2018), and data processing followed the guidelines documented in Over and others (2010). References Cited: Argonne National Laboratory, 2018, Meteorological data, accessed on October 10, 2018, at http://www.atmos.anl.gov/ANLMET/. ...
Trends in annual peak streamflow quantiles for 2,683 U.S. Geological Survey streamgages in the conterminous United States
Measures used to assess trends in the 10th, 50th, and 90th quantiles of annual peak streamflow from 1916-2015 at 2,683 U.S. Geological Survey stations and within 191 4-digit HUCs in the conterminous United States. Linear quantile regression was applied to the selected quantiles of log-transformed annual peak streamflow to represent trends for a range of flood frequencies from small, common floods to large, infrequent floods. Comparative trends in pairs of quantiles were characterized as coherent, convergent, or divergent by comparing the slopes of linear quantile regression equations.
Process-based water temperature predictions in the Midwest US: 1 Spatial data (GIS polygons for 7,150 lakes)
This dataset provides shapefile outlines of the 7,150 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). A csv file of lake metadata is also included. This dataset is part of a larger data release of lake temperature model inputs and outputs for 7,150 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9CA6XP8).
d1_Pot2018RasterFt Potentiometric surface, Mississippi River Valley alluvial aquifer, spring 2018, raster format, in feet
This dataset is the raster, in feet, of the potentiometric-surface map, spring 2018, Mississippi River Valley alluvial (MRVA) aquifer. The raster cell size is 1,000 meters; the raster altitude data was referenced to the North American Vertical Datum of 1988 (NAVD 88). The raster was interpolated using (1) most of the available groundwater-altitude data from wells and surface-water-altitude data from streamgages, and (2) potentiometric-surface contours.
County-Level Geographic Distributions for 47 Exotic Plant Species in Midwest USA and Central Canada, Compiled 2019
Geographic distribution data were collected based on county level occurrences (or converted from point occurrences to county level occurrences) within the five focal states (Minnesota, North Dakota, South Dakota, Nebraska & Iowa) and each U.S. state or Canadian province bordering those focal states (Wisconsin, Illinois, Missouri, Kansas, Wyoming, & Montana in the USA and Saskatchewan, Ontario & Manitoba in Canada).
Landsat Burned Area Essential Climate Variable products for the conterminous United States (1984 - 2015)
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in dense time series of Landsat image stacks to produce the Landsat Burned Area Essential Climate Variable (BAECV) products. The algorithm makes use of predictors derived from individual Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Outputs of the BAECV algorithm consist of pixel-level burn probabilities for each Landsat scene, and annual burn probability, burn classification, and burn date composites. These products were generated for the conterminous United States for 1984 through 2015. These data are also available for download at https://rmgsc.cr.usgs.gov/outgoing/baecv/BAECV_CONUS_v1.1_2017/...
Values for area of all occupied habitat were only obtained for species whose occupancy models predicted a marked proportion of the species' population was likely present in non-forest habitats.
The U.S. Geological Survey (USGS) has been engaged in airborne electromagnetics (AEM) since the 1970s, playing a role in the development of early acquisition systems, developing calibration methods, refining standards for data acquisition, improving data processing, modeling, and interpretation methods, and expanding the range of AEM applications. However, USGS AEM survey visibility and data accessibility has not advanced as rapidly as our use of the technique. This data release catalogs AEM surveys in the United States that have contributed to studies under USGS programs including Water, Geologic Mapping, Minerals, Energy, Environmental Health, Ecosystems, Hazards, and Climate. This dataset contains locations for...