Laura DeCicco
Laura DeCicco is a Civil Engineer with the Upper Midwest Water Science Center.
Professional Experience
2019 - present, Upper Midwest Water Science Center (UMid WSC)
2018 - 2019, Integrated Information Dissemination Division (IIDD), Data Science Branch
2014 - 2018, Office of Water Information (OWI)
2010 - 2014, Center for Integrated Data Analytics (CIDA)
Education and Certifications
Professional Engineer, State of Wisconsin, 2011
(Formally Laura Kranendonk)
Post Doc, Oak Ridge National Lab, 2007-2009
Ph.D. Mechanical Engineering - University of Wisconsin - Madison, 2006
M.S. Biomedical Engineering - University of Wisconsin - Madison, 2001
B.S. Mechanical Engineering - University of Wisconsin - Madison, 1999
Science and Products
A National Tool for Graphing and Synthesizing Continuous and Discrete Water-Quality Data
Provide synthesis of water quality data to better understand the Nation’s water resources
Evaluating chloride trends due to road-salt use and its impacts on water quality and aquatic organisms
Chloride, a key component of road salt, is soluble, highly mobile in water, and, at high concentrations, can be toxic to aquatic vegetation and wildlife. USGS scientists have been analyzing temporal, seasonal, and environmental trends in chloride concentrations across the U.S. to determine the effects that road salt may be having on water quality and aquatic organisms.
Select optical signals from water samples collected on the Menomonee River, Underwood Creek, and Jones Island Water Reclamation Facility from 2017-2019, and time-series optical sensor and one-hour mean streamflow data from the Menomonee River 2017-2018
5-day composite river water samples were collected from two sites: Menomonee River (U.S. Geological Survey station number 04087142) and Underwood Creek (U.S. Geological Survey station number 04087088) in Milwaukee, Wisconsin. 5-day composite wastewater (raw sewage) influent samples were also collected from the Jones Island Water Reclamation Facility (U.S. Geological Survey station number 430125087
Great Lakes tributary pharmaceutical water samples from water year 2018
This data release provides water chemistry results and quality assurance data for samples collected from Great Lakes tributaries in the states of Minnesota, Wisconsin, Michigan, Indiana, Ohio, and New York. In total, 158 chemicals were analyzed which are primarily pharmaceuticals. Between one and four water samples were collected at 37 sampling locations between November 2017 and July 2018 resulti
Optical signals of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water of Great Lake tributaries from 2011 to 2016
Data are from water samples collected from tributaries of the Great Lakes at three different drainage basin scales, including 1). watershed scale: 8 tributaries of the Great Lakes, 2). subwatershed scale: 5 locations from the greater Milwaukee, Wisconsin area, and 3). small scale: 213 storm sewers and open channel locations in three subwatersheds within the Great Lakes Basin including the Middle B
Chemistry of waters collected in the Wolf Creek and Buffalo Creek watersheds in West Virginia in 2016
Water chemistry data for samples collected in 2016 in the Wolf Creek and Buffalo Creek watersheds in West Virginia. The dataset includes stream characteristics including flow and location information for sampling sites.
Water-quality and streamflow datasets used in the Weighted Regressions on Time, Discharge, and Season (WRTDS) models to determine trends in the Nations rivers and streams, 1972-2012
In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project of the National Water-Quality Program. One of the major goals of the NAWQA project is to determine how water-quality conditions change over time. To support that goal, long-term consistent and comparable monitoring has been c
Filter Total Items: 20
Reproducibility starts at the source: R, Python, and Julia Packages for retrieving USGS hydrologic data
Much of modern science takes place in a computational environment, and, increasingly, that environment is programmed using R, Python, or Julia. Furthermore, most scientific data now live on the cloud, so the first step in many workflows is to query a cloud database and load the response into a computational environment for further analysis. Thus, tools that facilitate programmatic data retrieval r
Authors
Timothy O. Hodson, Laura A. DeCicco, Jayaram Athreya Hariharan, Lee Stanish, Scott Black, J. S. Horsburgh
Changes in chemical occurrence, concentration, and bioactivity in the Colorado River before and after replacement of the Moab, Utah wastewater treatment plant
Long-term (2010–19) water-quality monitoring on the Colorado River downstream from Moab Utah indicated the persistent presence of Bioactive Chemicals (BC), such as pesticides and pharmaceuticals. This stream reach near Canyonlands National Park provides critical habitat for federally endangered species. The Moab wastewater treatment plant (WWTP) outfall discharges to the Colorado River and is the
Authors
William A. Battaglin, Paul M. Bradley, Rebbecca Weissinger, Brett R. Blackwell, Jenna E. Cavallin, Daniel L. Villeneuve, Laura A. DeCicco, Julie Kinsey
Per- and polyfluoroalkyl substances (PFAS) in United States tapwater: Comparison of underserved private-well and public-supply exposures and associated health implications
Drinking-water quality is a rising concern in the United States (US), emphasizing the need to broadly assess exposures and potential health effects at the point-of-use. Drinking-water exposures to per- and poly-fluoroalkyl substances (PFAS) are a national concern, however, there is limited information on PFAS in residential tapwater at the point-of-use, especially from private-wells. We conducted
Authors
Kelly L. Smalling, Kristin M. Romanok, Paul M. Bradley, Matthew C. Morriss, James L. Gray, Leslie K. Kanagy, Stephanie Gordon, Brianna Williams, Sara E. Breitmeyer, Daniel Jones, Laura A. DeCicco, Collin Eagles-Smith, Tyler Wagner
By
Ecosystems Mission Area, Water Resources Mission Area, Cooperative Research Units, Forest and Rangeland Ecosystem Science Center, New Jersey Water Science Center, South Atlantic Water Science Center (SAWSC), Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center, Utah Water Science Center
Modeled predictions of human-associated and fecal-indicator bacteria concentrations and loadings in the Menomonee River, Wisconsin using in-situ optical sensors
Human sewage contamination of waterways is a major issue in the United States and throughout the world. Models were developed for estimation of two human-associated fecal-indicator and three general fecal-indicator bacteria (HIB and FIB) using in situ optical field-sensor data for estimating concentrations and loads of HIB and FIB and the extent of sewage contamination in the Menomonee River in Mi
Authors
Peter L. Lenaker, Steven R. Corsi, Laura A. DeCicco, Hayley T. Olds, Debra K. Dila, Mari Danz, Sandra L. McLellan, Troy D. Rutter
Pesticide prioritization by potential biological effects in tributaries of the Laurentian Great Lakes
Watersheds of the Great Lakes Basin (USA/Canada) are highly modified and impacted by human activities including pesticide use. Despite labeling restrictions intended to minimize risks to nontarget organisms, concerns remain that environmental exposures to pesticides may be occurring at levels negatively impacting nontarget organisms. We used a combination of organismal-level toxicity estimates (in
Authors
Samantha K. Oliver, Steven R. Corsi, Austin K. Baldwin, Michelle A. Nott, Gerald T. Ankley, Brett R. Blackwell, Daniel L. Villeneuve, Michelle Hladik, Dana W. Kolpin, Luke C. Loken, Laura A. DeCicco, Michael T. Meyer, Keith Loftin
Prioritizing pesticides of potential concern and identifying potential mixture effects in Great Lakes tributaries using passive samplers
To help meet the objectives of the Great Lakes Restoration Initiative with regard to increasing knowledge about toxic substances, 223 pesticides and pesticide transformation products were monitored in 15 Great Lakes tributaries using polar organic chemical integrative samplers. A screening-level assessment of their potential for biological effects was conducted by computing toxicity quotients (TQs
Authors
Luke C. Loken, Steven R. Corsi, David Alvarez, Gerald T. Ankley, Austin K. Baldwin, Bradley D. Blackwell, Laura A. DeCicco, Michelle A. Nott, Samantha K. Oliver, Daniel L. Villeneuve
Prioritizing pharmaceutical contaminants in Great Lakes tributaries using risk-based screening techniques
In a study of 44 diverse sampling sites across 16 Great Lakes tributaries, 110 pharmaceuticals were detected of 257 monitored. The present study evaluated the ecological relevance of detected chemicals and identified heavily impacted areas to help inform resource managers and guide future investigations. Ten pharmaceuticals (caffeine, nicotine, albuterol, sulfamethoxazole, venlafaxine, acetaminoph
Authors
Matthew A. Pronschinske, Steven R. Corsi, Laura A. DeCicco, Edward Furlong, Gerald T. Ankley, Brett R. Blackwell, Daniel L. Villeneuve, Peter L. Lenaker, Michelle A. Nott
Optical properties of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water at three watershed scales
Relations between spectral absorbance and fluorescence properties of water and human-associated and fecal indicator bacteria were developed for facilitating field sensor applications to estimate wastewater contamination in waterways. Leaking wastewater conveyance infrastructure commonly contaminates receiving waters. Methods to quantify such contamination can be time consuming, expensive, and ofte
Authors
Steven R. Corsi, Laura A. DeCicco, Angela Hansen, Peter L. Lenaker, Brian A. Bergamaschi, Brian A. Pellerin, Debra Dila, Melinda Bootsma, Susan Spencer, Mark A. Borchardt, Sandra L. McLellan
Identifying chemicals and mixtures of potential biological concern detected in passive samplers from Great Lakes tributaries using high-throughput data and biological pathways
Waterborne contaminants were monitored in 69 tributaries of the Laurentian Great Lakes in 2010 and 2014 using semipermeable membrane devices (SPMDs) and polar organic chemical integrative samplers (POCIS). A risk-based screening approach was used to prioritize chemicals and chemical mixtures, identify sites at greatest risk for biological impacts, and identify potential hazards to monitor at those
Authors
David Alvarez, Steven R. Corsi, Laura A. DeCicco, Daniel L. Villeneuve, Austin K. Baldwin
Evaluating the potential role of bioactive chemicals on the distribution of invasive Asian carp upstream and downstream from river mile 278 in the Illinois waterway
Two non-native carp species have invaded the Illinois Waterway and are a threat to Great Lakes ecosystems. Poor water quality in the upper Illinois Waterway, may be a factor contributing to the stalling of the carp population front near river mile 278. In 2015, the U.S. Geological Survey collected 4 sets of water samples from two sites upstream and 4 sites downstream from river mile 278, and one t
Authors
William A. Battaglin, James J. Duncker, Paul J. Terrio, Paul M. Bradley, Larry B. Barber, Laura A. DeCicco
Prioritizing chemicals of ecological concern in Great Lakes tributaries using high-throughput screening data and adverse outcome pathways
Chemical monitoring data were collected in surface waters from 57 Great Lakes tributaries from 2010-13 to identify chemicals of potential biological relevance and sites at which these chemicals occur. Traditional water-quality benchmarks for aquatic life based on in vivo toxicity data were available for 34 of 67 evaluated chemicals. To expand evaluation of potential biological effects, measured ch
Authors
Steven R. Corsi, Laura A. DeCicco, Daniel L. Villeneuve, Brett Blackwell, Kellie Fay, Gerald Ankley, Austin K. Baldwin
Mixed-chemical exposure and predicted effects potential in wadeable southeastern USA streams
Complex chemical mixtures have been widely reported in larger streams but relatively little work has been done to characterize them and assess their potential effects in headwaterstreams. In 2014, the United States Geological Survey (USGS) sampled 54 Piedmont streams over ten weeks and measured 475 unique organic compounds using five analytical methods. Maximum and median exposure conditions were
Authors
Paul M. Bradley, Celeste A. Journey, Jason P. Berninger, Daniel T. Button, Jimmy M. Clark, Steven R. Corsi, Laura A. DeCicco, Kristina G. Hopkins, Bradley J. Huffman, Naomi Nakagaki, Julia E. Norman, Lisa H. Nowell, Sharon L. Qi, Peter C. Van Metre, Ian R. Waite
EGRET
An R-package for the analysis of long-term changes in water quality and streamflow, including the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS).
dataRetrieval
The U.S. Geological Survey (USGS) developed an R package called dataRetrieval to help simplify the process of discovering and retrieving water quality sample data, streamflow, groundwater, and other data available from Federal hydrologic web services such as National Water Information Systems (NWIS), the EPA Water Quality Exchange (WQX) System, and the National Hydrologic Dataset via the Hydro-Ne
HASP
The Hydrologic Analysis Package (HASP) can retrieve groundwater level and groundwater quality data, aggregate these data, plot them, and generate basic statistics. One of the benefits of HASP is its ability to aggregate two time-series of data into one record and generate statistics and graphics on
hat record. By merging two data sets together, users can view and manipulate a much longer record o
wqReport
This is an R-package designed to create water-quality reports for either U.S. Fish and Wildlife Service (FWS) wildlife refuge boundaries, or user-specified Hydrologic Unit Code (HUC) boundaries (8 or 10 digit HUC services are available). Functions are included to take the user's geographical request, and find the sites that measure water-quality parameters, and retrieve that data. A workflow walks
ToxMixtures: A package to explore toxicity due to chemical mixtures
The ToxMixtures R-package includes a set of functions to analyze, visualize, and organize measured chemical concentration data as it relates to chemical mixtures. ToxMixtures combines outputs from the R-package toxEval with
open access sources on molecular biology to provide information on potential biological effects of chemicals detected in environmental matrices. To use ToxMixtures, the user wi
toxEval
Evaluation of measured concentration data using the ToxCast high-throughput screening database or a user-defined set of concentration benchmarks.
Science and Products
A National Tool for Graphing and Synthesizing Continuous and Discrete Water-Quality Data
Provide synthesis of water quality data to better understand the Nation’s water resources
Evaluating chloride trends due to road-salt use and its impacts on water quality and aquatic organisms
Chloride, a key component of road salt, is soluble, highly mobile in water, and, at high concentrations, can be toxic to aquatic vegetation and wildlife. USGS scientists have been analyzing temporal, seasonal, and environmental trends in chloride concentrations across the U.S. to determine the effects that road salt may be having on water quality and aquatic organisms.
Select optical signals from water samples collected on the Menomonee River, Underwood Creek, and Jones Island Water Reclamation Facility from 2017-2019, and time-series optical sensor and one-hour mean streamflow data from the Menomonee River 2017-2018
5-day composite river water samples were collected from two sites: Menomonee River (U.S. Geological Survey station number 04087142) and Underwood Creek (U.S. Geological Survey station number 04087088) in Milwaukee, Wisconsin. 5-day composite wastewater (raw sewage) influent samples were also collected from the Jones Island Water Reclamation Facility (U.S. Geological Survey station number 430125087
Great Lakes tributary pharmaceutical water samples from water year 2018
This data release provides water chemistry results and quality assurance data for samples collected from Great Lakes tributaries in the states of Minnesota, Wisconsin, Michigan, Indiana, Ohio, and New York. In total, 158 chemicals were analyzed which are primarily pharmaceuticals. Between one and four water samples were collected at 37 sampling locations between November 2017 and July 2018 resulti
Optical signals of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water of Great Lake tributaries from 2011 to 2016
Data are from water samples collected from tributaries of the Great Lakes at three different drainage basin scales, including 1). watershed scale: 8 tributaries of the Great Lakes, 2). subwatershed scale: 5 locations from the greater Milwaukee, Wisconsin area, and 3). small scale: 213 storm sewers and open channel locations in three subwatersheds within the Great Lakes Basin including the Middle B
Chemistry of waters collected in the Wolf Creek and Buffalo Creek watersheds in West Virginia in 2016
Water chemistry data for samples collected in 2016 in the Wolf Creek and Buffalo Creek watersheds in West Virginia. The dataset includes stream characteristics including flow and location information for sampling sites.
Water-quality and streamflow datasets used in the Weighted Regressions on Time, Discharge, and Season (WRTDS) models to determine trends in the Nations rivers and streams, 1972-2012
In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project of the National Water-Quality Program. One of the major goals of the NAWQA project is to determine how water-quality conditions change over time. To support that goal, long-term consistent and comparable monitoring has been c
Filter Total Items: 20
Reproducibility starts at the source: R, Python, and Julia Packages for retrieving USGS hydrologic data
Much of modern science takes place in a computational environment, and, increasingly, that environment is programmed using R, Python, or Julia. Furthermore, most scientific data now live on the cloud, so the first step in many workflows is to query a cloud database and load the response into a computational environment for further analysis. Thus, tools that facilitate programmatic data retrieval r
Authors
Timothy O. Hodson, Laura A. DeCicco, Jayaram Athreya Hariharan, Lee Stanish, Scott Black, J. S. Horsburgh
Changes in chemical occurrence, concentration, and bioactivity in the Colorado River before and after replacement of the Moab, Utah wastewater treatment plant
Long-term (2010–19) water-quality monitoring on the Colorado River downstream from Moab Utah indicated the persistent presence of Bioactive Chemicals (BC), such as pesticides and pharmaceuticals. This stream reach near Canyonlands National Park provides critical habitat for federally endangered species. The Moab wastewater treatment plant (WWTP) outfall discharges to the Colorado River and is the
Authors
William A. Battaglin, Paul M. Bradley, Rebbecca Weissinger, Brett R. Blackwell, Jenna E. Cavallin, Daniel L. Villeneuve, Laura A. DeCicco, Julie Kinsey
Per- and polyfluoroalkyl substances (PFAS) in United States tapwater: Comparison of underserved private-well and public-supply exposures and associated health implications
Drinking-water quality is a rising concern in the United States (US), emphasizing the need to broadly assess exposures and potential health effects at the point-of-use. Drinking-water exposures to per- and poly-fluoroalkyl substances (PFAS) are a national concern, however, there is limited information on PFAS in residential tapwater at the point-of-use, especially from private-wells. We conducted
Authors
Kelly L. Smalling, Kristin M. Romanok, Paul M. Bradley, Matthew C. Morriss, James L. Gray, Leslie K. Kanagy, Stephanie Gordon, Brianna Williams, Sara E. Breitmeyer, Daniel Jones, Laura A. DeCicco, Collin Eagles-Smith, Tyler Wagner
By
Ecosystems Mission Area, Water Resources Mission Area, Cooperative Research Units, Forest and Rangeland Ecosystem Science Center, New Jersey Water Science Center, South Atlantic Water Science Center (SAWSC), Upper Midwest Environmental Sciences Center, Upper Midwest Water Science Center, Utah Water Science Center
Modeled predictions of human-associated and fecal-indicator bacteria concentrations and loadings in the Menomonee River, Wisconsin using in-situ optical sensors
Human sewage contamination of waterways is a major issue in the United States and throughout the world. Models were developed for estimation of two human-associated fecal-indicator and three general fecal-indicator bacteria (HIB and FIB) using in situ optical field-sensor data for estimating concentrations and loads of HIB and FIB and the extent of sewage contamination in the Menomonee River in Mi
Authors
Peter L. Lenaker, Steven R. Corsi, Laura A. DeCicco, Hayley T. Olds, Debra K. Dila, Mari Danz, Sandra L. McLellan, Troy D. Rutter
Pesticide prioritization by potential biological effects in tributaries of the Laurentian Great Lakes
Watersheds of the Great Lakes Basin (USA/Canada) are highly modified and impacted by human activities including pesticide use. Despite labeling restrictions intended to minimize risks to nontarget organisms, concerns remain that environmental exposures to pesticides may be occurring at levels negatively impacting nontarget organisms. We used a combination of organismal-level toxicity estimates (in
Authors
Samantha K. Oliver, Steven R. Corsi, Austin K. Baldwin, Michelle A. Nott, Gerald T. Ankley, Brett R. Blackwell, Daniel L. Villeneuve, Michelle Hladik, Dana W. Kolpin, Luke C. Loken, Laura A. DeCicco, Michael T. Meyer, Keith Loftin
Prioritizing pesticides of potential concern and identifying potential mixture effects in Great Lakes tributaries using passive samplers
To help meet the objectives of the Great Lakes Restoration Initiative with regard to increasing knowledge about toxic substances, 223 pesticides and pesticide transformation products were monitored in 15 Great Lakes tributaries using polar organic chemical integrative samplers. A screening-level assessment of their potential for biological effects was conducted by computing toxicity quotients (TQs
Authors
Luke C. Loken, Steven R. Corsi, David Alvarez, Gerald T. Ankley, Austin K. Baldwin, Bradley D. Blackwell, Laura A. DeCicco, Michelle A. Nott, Samantha K. Oliver, Daniel L. Villeneuve
Prioritizing pharmaceutical contaminants in Great Lakes tributaries using risk-based screening techniques
In a study of 44 diverse sampling sites across 16 Great Lakes tributaries, 110 pharmaceuticals were detected of 257 monitored. The present study evaluated the ecological relevance of detected chemicals and identified heavily impacted areas to help inform resource managers and guide future investigations. Ten pharmaceuticals (caffeine, nicotine, albuterol, sulfamethoxazole, venlafaxine, acetaminoph
Authors
Matthew A. Pronschinske, Steven R. Corsi, Laura A. DeCicco, Edward Furlong, Gerald T. Ankley, Brett R. Blackwell, Daniel L. Villeneuve, Peter L. Lenaker, Michelle A. Nott
Optical properties of water for prediction of wastewater contamination, human-associated bacteria, and fecal indicator bacteria in surface water at three watershed scales
Relations between spectral absorbance and fluorescence properties of water and human-associated and fecal indicator bacteria were developed for facilitating field sensor applications to estimate wastewater contamination in waterways. Leaking wastewater conveyance infrastructure commonly contaminates receiving waters. Methods to quantify such contamination can be time consuming, expensive, and ofte
Authors
Steven R. Corsi, Laura A. DeCicco, Angela Hansen, Peter L. Lenaker, Brian A. Bergamaschi, Brian A. Pellerin, Debra Dila, Melinda Bootsma, Susan Spencer, Mark A. Borchardt, Sandra L. McLellan
Identifying chemicals and mixtures of potential biological concern detected in passive samplers from Great Lakes tributaries using high-throughput data and biological pathways
Waterborne contaminants were monitored in 69 tributaries of the Laurentian Great Lakes in 2010 and 2014 using semipermeable membrane devices (SPMDs) and polar organic chemical integrative samplers (POCIS). A risk-based screening approach was used to prioritize chemicals and chemical mixtures, identify sites at greatest risk for biological impacts, and identify potential hazards to monitor at those
Authors
David Alvarez, Steven R. Corsi, Laura A. DeCicco, Daniel L. Villeneuve, Austin K. Baldwin
Evaluating the potential role of bioactive chemicals on the distribution of invasive Asian carp upstream and downstream from river mile 278 in the Illinois waterway
Two non-native carp species have invaded the Illinois Waterway and are a threat to Great Lakes ecosystems. Poor water quality in the upper Illinois Waterway, may be a factor contributing to the stalling of the carp population front near river mile 278. In 2015, the U.S. Geological Survey collected 4 sets of water samples from two sites upstream and 4 sites downstream from river mile 278, and one t
Authors
William A. Battaglin, James J. Duncker, Paul J. Terrio, Paul M. Bradley, Larry B. Barber, Laura A. DeCicco
Prioritizing chemicals of ecological concern in Great Lakes tributaries using high-throughput screening data and adverse outcome pathways
Chemical monitoring data were collected in surface waters from 57 Great Lakes tributaries from 2010-13 to identify chemicals of potential biological relevance and sites at which these chemicals occur. Traditional water-quality benchmarks for aquatic life based on in vivo toxicity data were available for 34 of 67 evaluated chemicals. To expand evaluation of potential biological effects, measured ch
Authors
Steven R. Corsi, Laura A. DeCicco, Daniel L. Villeneuve, Brett Blackwell, Kellie Fay, Gerald Ankley, Austin K. Baldwin
Mixed-chemical exposure and predicted effects potential in wadeable southeastern USA streams
Complex chemical mixtures have been widely reported in larger streams but relatively little work has been done to characterize them and assess their potential effects in headwaterstreams. In 2014, the United States Geological Survey (USGS) sampled 54 Piedmont streams over ten weeks and measured 475 unique organic compounds using five analytical methods. Maximum and median exposure conditions were
Authors
Paul M. Bradley, Celeste A. Journey, Jason P. Berninger, Daniel T. Button, Jimmy M. Clark, Steven R. Corsi, Laura A. DeCicco, Kristina G. Hopkins, Bradley J. Huffman, Naomi Nakagaki, Julia E. Norman, Lisa H. Nowell, Sharon L. Qi, Peter C. Van Metre, Ian R. Waite
EGRET
An R-package for the analysis of long-term changes in water quality and streamflow, including the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS).
dataRetrieval
The U.S. Geological Survey (USGS) developed an R package called dataRetrieval to help simplify the process of discovering and retrieving water quality sample data, streamflow, groundwater, and other data available from Federal hydrologic web services such as National Water Information Systems (NWIS), the EPA Water Quality Exchange (WQX) System, and the National Hydrologic Dataset via the Hydro-Ne
HASP
The Hydrologic Analysis Package (HASP) can retrieve groundwater level and groundwater quality data, aggregate these data, plot them, and generate basic statistics. One of the benefits of HASP is its ability to aggregate two time-series of data into one record and generate statistics and graphics on
hat record. By merging two data sets together, users can view and manipulate a much longer record o
wqReport
This is an R-package designed to create water-quality reports for either U.S. Fish and Wildlife Service (FWS) wildlife refuge boundaries, or user-specified Hydrologic Unit Code (HUC) boundaries (8 or 10 digit HUC services are available). Functions are included to take the user's geographical request, and find the sites that measure water-quality parameters, and retrieve that data. A workflow walks
ToxMixtures: A package to explore toxicity due to chemical mixtures
The ToxMixtures R-package includes a set of functions to analyze, visualize, and organize measured chemical concentration data as it relates to chemical mixtures. ToxMixtures combines outputs from the R-package toxEval with
open access sources on molecular biology to provide information on potential biological effects of chemicals detected in environmental matrices. To use ToxMixtures, the user wi
toxEval
Evaluation of measured concentration data using the ToxCast high-throughput screening database or a user-defined set of concentration benchmarks.