ABSTRACT:

This dataset includes chemistry data from snowpack samples collected across the iUTAH watersheds during spring 2014 and 2015. The field sampling was a collaborative effort by the iUTAH Snow Sampling Team. The chemistry data include stable water isotope ratios (d18O and dD), trace and major element concentrations, and 87Sr/86Sr ratios for selected samples.

ABSTRACT:

This dataset contains water chemistry data from samples collected at GAMUT sites and other locations in Logan, Red Butte, and Provo River watersheds during 2014-2015. Chemistry includes field parameters, stable water isotopes, 87Sr/86Sr ratios, major ions, and trace element concentrations.

ABSTRACT:

This dataset contains chemistry and mineralogy data for dust samples collected across northern Utah and Great Basin National Park (Nevada) as part of Dylan Dastrup's thesis project.

ABSTRACT:

Snow chemistry data from the Uinta Mountains in the upper Provo River Watershed. Data set includes sampling location, water isotopes, disolved organic carbon(DOC), flitered major and trace elements, and 87Sr/86Sr ratios.

ABSTRACT:

Water chemistry data for the upper Provo River at three aquatic sites, Soapstone, Woodland and Hailstone. Data set includes, water isotopes, DOC, trace elements, major elements, and 87Sr/86Sr ratios.

ABSTRACT:

Soil chemistry for two locations in the upper Provo River watershed of the Uinta Mountains. Data set includes sequential leaches of soil pits in 10 cm increments for trace elements, major elements and 87Sr/86Sr ratios.

ABSTRACT:

Water chemistry data for springs, soil water, and ephemeral streams in the upper Provo river within the Uinta Mountains. Data set includes water isotopes, trace elements, major elements, 87Sr/86Sr, DOC, and various other water quality measurements.

ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured by the EXO2 at Provo River near Soapstone Basic Aquatic (PR_ST_BA) for the time period 2021-2023. Previous data from this site is listed on HydroShare as part of the iUTAH GAMUT Network. The file contains QC1 data for water temperature, specific conductance, pH, dissolved oxygen, turbidity, chlorophyll A, blue green algae, and fDOM. The dataset also includes stage and and water temperature from a standalone pressure transducer. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors.

ABSTRACT:

Quantifying water sources to rivers and streams is critical for managing water resources globally. Endmember mixing analysis (EMMA) is a commonly applied method to water sources to streams that uses tracers for hydrograph separation. Most EMMA applications follow similar methods, but several choices must be made such as selecting tracers, endmembers, and stream locations for mixing. With no standardized EMMA approach, these choices may be made subjectively with little regard for resulting errors. We created an open-source software program called EMMALAB, developed in Matlab App Designer, to simplify and standardize the workflow associated with EMMA. EMMALAB guides the user through a uniform process to visualize and select endmembers via principal components analysis, calculate the fractional contribution of each endmember, and calculate errors in the mixing analysis. The files in this HydroShare resource include: EMMALAB v1.0 installers for Mac and PC, a data template, and example dataset from the Provo River, and the transcript for a YouTube video that provides instructions for using the software. The Provo River dataset is the example data used in the training video.

ABSTRACT:

This dataset includes water chemistry from samples collected in the upper Provo River watershed, northern Utah, including river samples from Soapstone, Woodland, and Hailstone, soil water, snowpack, ephemeral streams, and groundwater. The samples were collected from 2012-2022. The water chemistry includes field parameters, water isotopes, strontium isotopes, major ions, and trace elements. The field and lab methods are described in Checketts et al. (2020).

ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured by the EXO2 at Provo River near Woodland for the time period 2021-2023. The file contains QC1 data for water temperature, specific conductance, pH, dissolved oxygen, turbidity, chlorophyll A, blue green algae, and fDOM. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors.

ABSTRACT:

This dataset includes water chemistry from samples collected in the upper Provo River watershed, northern Utah, including river samples from Soapstone, Woodland, and Hailstone, soil water, snowpack, ephemeral streams, and groundwater. The samples were collected during the 2023 water year. The samples include concentrations on unfiltered, filtered (<0.45 micron), and filtered (<0.22 micron) fractions. The water chemistry includes field parameters, water isotopes, major ions, and trace elements. The field and lab methods are described in attached thesis (Caskey, 2024).

ABSTRACT:

To investigate glacial controls on water chemistry, we instrumented 13 sites in the Dinwoody Creek watershed (Wind River Range, Wyoming) to monitor conductivity and water temperature during the 2018 summer melt season (late June through late September). The primary sites were located along a longitudinal gradient along Dinwoody Creek (labeled Din-1 through Din-7) starting near the toe of Dinwoody Glacier. Additional sites were selected to capture tributary streams draining glacial, non-glacial, and lake-dominated subwatersheds. At each site, we deployed a HOBO U24 low-range conductivity logger protected by PVC housing with 0.5 cm holes to allow water flow. We recovered water temperature data from all 13 loggers and conductivity data from 8 loggers. An air temperature logger was placed near Din-4 to compare with water temperature measurements. All loggers recorded measurements at 15-min or 60-min intervals. To check the accuracy of the conductivity loggers, we measured conductivity with a YSI ProDSS probe at each stream site when loggers were deployed and retrieved, with similar values (within a few µS/cm) across instruments. Conductivity measurements from the HOBO loggers were converted to specific conductance at 25oC using the “low range” data and temperature compensation method for freshwater lakes and streams options in the HOBOware conductivity assistant. Specifics of logger locations, deployment dates, and sample type are provided in on the first tab of the data sheet.