17 results — topic: water quality

Dataset

Total dissolved-solid loads in the Upper Colorado River Basin during high-flow hydrologic events from 2021 to 2023

This U.S. Geological Survey (USGS) data release contains data that allows for calculation of total dissolved-solid loads for high-flow and baseflow conditions in the Upper Colorado River Basin (UCRB) collected between 2021 and 2023. High-flow hydrologic events are critical periods for salinity trans

Destry N DiViesti, Casey Root, Scott A Hynek2026DOI: 10.5066/p1hc6ocb
Dataset

Total dissolved-solid loads in the Upper Colorado River Basin during high-flow hydrologic events from 2021 to 2023

This U.S. Geological Survey (USGS) data release contains data that allows for calculation of total dissolved-solid loads for high-flow and baseflow conditions in the Upper Colorado River Basin (UCRB) collected between 2021 and 2023. High-flow hydrologic events are critical periods for salinity trans

Destry N DiViesti, Casey Root, Scott A Hynek2026DOI: 10.5066/p1hc6ocb
Dataset

Surface Water Disinfection Byproducts and Organic Matter Characterization Data Associated with: “Disinfection byproducts formed during drinking water treatment reveal an export control point for dissolved organic matter in a subalpine headwater stream”

This dataset is associated with the publication Disinfection byproducts formed during drinking water treatment reveal an export control point for dissolved organic matter in a subalpine headwater stream published in Water Research X (Leonard et al. 2022; https://doi.org/10.1016/j.wroa.2022.100144).

Laura T. Leonard, Curtis A. Beutler, Rosalie Chu2025DOI: 10.15485/1969118
Dataset

East River Pore Water FTICR-MS Data associated with "Geomorphic and Hydrogeochemical Controls on Fine-Scale Hyporheic Microbiome Assembly and Function"

Pore water samples were collected from distributed locations around Meander A in East River (Crested Butte, CO, USA) during the summer of 2018. This dataset consists of the characterization of dissolved organic matter using 12 Tesla Fourier transform ion cyclotron resonance mass spectrometry (FTICR-

Casey Saup, Mikayla Borton, Amelia Nelson2025DOI: 10.15485/1957786
Dataset

Solute chemistry for streams draining geomorphic features and varying land cover gradients in the East River watershed, Colorado

This dataset contains solute chemistry data and GPS coordinates for surface water samples collected in the East River watershed in the Elk and West Elk Ranges of Colorado from August 3rd through August 11th, 2022. Samples were collected from streams and groundwater seeps as part of a comprehensive a

John Slosson, Isaac Larsen, Matthew Winnick2025DOI: 10.15485/2222681
Dataset

Specific conductivity, pH, dissolved oxygen, water temperature and alkalinity in-situ data; Slate River floodplain, Crested Butte, CO; March 2021-October 2021.

This data package includes a time-series of field measurements from March to October 2021 in groundwater and surface water from the Slate River floodplain in Crested Butte, CO, a focus field site for the SLAC Floodplain Hydro-Biogeochemistry SFA. The data was generated as part of the work targeting

Pierce S, Bargar J2023DOI: 10.15485/1829500Cited 1 times
Dataset

Groundwater level elevation and temperature data, Oct 2018-Dec 2021, Slate River Floodplain, Crested Butte, CO.

This data package includes a time series of water level and temperature measurements from October 2018 to December 2021 in groundwater and surface water from the Slate River floodplain outside Crested Butte, CO, a focus field site for the SLAC Floodplain Hydro-Biogeochemistry SFA. The data was gener

Perzan Z, Pierce S, Boye K2023DOI: 10.15485/1908248Cited 1 times
Dataset

Cation Data for the East River Watershed, Colorado (2014-2021)

This data package contains mean values for cation concentration for water samples taken from the East River Watershed in Colorado. Inductively coupled plasma mass spectrometry (ICP-MS) has been used to measure the concentrations of 37 elements of interest simultaneously for the East River Watershed,

Dong W, Beutler C, Brown W2023DOI: 10.15485/1668055Cited 4 times
Dataset

Anion Data for the East River Watershed, Colorado (2014-2022)

The anion data for the East River Watershed, Colorado, consists of fluoride, chloride, sulfate, nitrate, and phosphate concentrations collected at multiple, long-term monitoring sites that include stream, groundwater, and spring sampling locations. These locations represent important and/or unique e

Williams K, Beutler C, Brown W2023DOI: 10.15485/1668054Cited 5 times
Dataset

In-situ electrochemical and water quality data; Slate River and East River floodplains, Crested Butte, CO; May 2022-September 2022.

This data package includes a time-series of field measurements from May to September 2022 in groundwater and surface water from the Slate River and East River floodplains in Crested Butte, CO, a focus field site for the SLAC Floodplain Hydro-Biogeochemistry SFA. The data was generated as part of the

Samuel Pierce, Kristin Boye2023DOI: 10.15485/1896309Cited 1 times
Dataset

Dissolved-Selenium Concentrations and Loads in the Lower Gunnison River Basin, Colorado, as Part of the Selenium Management Program (ver. 5.0, September 2025)

The U.S. Geological Survey (USGS), in cooperation with the Bureau of Reclamation, completed a review of dissolved selenium data collected from the Selenium Management Program network during each water year (WY) in the lower Gunnison River Basin, in western Colorado. The data tables include dissolved

Mark F Henneberg, Patrick C Longley, Joel W Homan2021DOI: 10.5066/p92uis8x
Dataset

Depth-resolved seasonal porewater chemistry measurements from 3 locations around Meander A of the East River, Colorado

Depth-resolved pore water samples were recovered from 3 locations around Meander A in the East River near Crested Butte, CO, USA for a suite of physiochemical analyses. Supplemental_Information.csv contains water quality measurements including pH, conductivity, temperature, ORP, TDS, O2 concentratio

Saup C, Bryant S, Nelson A2021DOI: 10.15485/1504779Cited 2 times
Dataset

Distributed hydrological, chemical, and microbiological measurements around Meander A of East River, Colorado.

In July-August 2018, we collected 88 filtered pore water samples at 20 cm depth and analyzed them for anions, cations, dissolved organic carbon, dissolved organic matter (DOM) quality, and standard water quality parameters. Vertical hydraulic head gradients were measured to assess the potential for

Nelson A, Saup C, Gabor R2021DOI: 10.15485/1507800Cited 1 times
Dataset

Distinct Source Water Chemistry Shapes Contrasting Concentration Discharge Patterns, Water Resources Research: Dataset.

This data package contains discharge and water quality data and model results at Coal Creek Watershed in the central Rocky Mountains of Colorado, USA. Files include high-frequency stream chemistry data collected during the period of Dec 2015 to Jun 2018, and model results of water storage and flux.

Wei Zhi2021DOI: 10.21952/WTR/1528928
Dataset

Gap-filled water quality, Normalized Differenced Vegetation Index, total nitrogen (nitrate and ammonia) deposition, and land cover data trends for the Continental United States

The purpose of this work was to quantify trends in water quality, total nitrogen deposition, vegetation, and land-use trends for the Continental United States (CONUS). This dataset contains gap-filled daily and yearly in-stream carbon (C) and nitrogen (N) concentrations, discharge, and calculated ex

Newcomer, Michelle, Bouskill, Nick, Wainwright, Haruko2020DOI: 10.15485/1647366
Dataset

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)

Laura A DeCicco, Robert M Hirsch, David Lorenz2018DOI: 10.5066/p9x4l3geCited 15 times
Dataset

Data for Tritium deposition in precipitation in the United States, 1953 - 2023 (ver. 2.0, May 2023)

Bryant Jurgens2018DOI: 10.5066/p92cefxnCited 6 times