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iUTAH Data Manager

iUTAH | Data Manager

Subject Areas: Hydrology, Hydroinformatics, Cyberinfrastrucutre, Water Quality, Water Resources Management, Data Management, Social Water Science Data,

 Recent activity

ABSTRACT:

The data set contains indicators for the 414 counties of the 11 states included in the Intermountain West region in U.S. The Intermountain West includes 246 counties. This dataset will be used to identify and evaluate sustainable development possibilities for each individual county through a comparative performance analysis. The dataset contains 267 indicators measuring three aspects of each county: individual sociodemographic composition, economic characteristics, and the environmental and biophysical aspects of each county. All the information has been obtained from public access sources as indicated in the labels file.
The database file includes the table with the quantitative values and the labels file describes each indicator and its source of information. The dataset has geo ID codes to relate this information with other GIS information.

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ABSTRACT:

The purpose of this research effort is to improve understanding of two key drivers of water use in irrigated landscapes: 1) irrigation technology adoption and 2) irrigation district hierarchies. The methodology used to address the first driver focuses on integrating economic models of optimal investment with hydrologic models of annual streamflow. Specifically, this approach quantifies how streamflow trends and streamflow variability influence the adoption of more efficient irrigation technologies in three watershed in Cache Valley. This improved understanding of the influence of streamflow trends and variability can be used to predict how one specific form of climate adaptation (uptake of water-saving irrigation technologies) will evolve in response to climate trends and variability. The methodology used to address the second driver is an agent-based model of the behaviors of canal district managers and owners. This methodology allows us to specify both economic and non-economic behaviors employed by three agent types (canal manager, residential water users, agricultural water users) in a specific canal in Cache Valley. The model accounts for realistic hydrologic aspects of the canal, the hierarchical relationship between canal managers and water users, as well as the variety of water use objectives held by owners of the canal company. This research provides an initial glimpse of the relative importance of institutions, social norms, and economics in water use decisions. These research efforts help solidify the links between RFA2 and RFA3.

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ABSTRACT:

Concentrations of HgT and MeHg in Great Salt Lake water, superficial sediment, brine flies, and ducks collected before and after closure of the culverts in the railroad causeway in late 2013. Samples collected in 2007-2012, and October 2015 to December, 2016.

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ABSTRACT:

This dataset includes time series data collected during baseflow and stormflow conditions in the Northwest Field Canal, located in Logan, UT. Time series data includes fluorescent dissolved organic matter (FDOM), observations from custom fluorometers used to calculate the fluorescence index in situ, turbidity, and rainfall. Methods used for deploying sensors, collecting data, and processing for quality control are described in the methods document contained within this resource.

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ABSTRACT:

This dataset includes grab sample data collected during baseflow and stormflow conditions in the Northwest Field Canal (NWFC), located in Logan, UT. Grab sample data includes results from samples that were analyzed using dissolved organic carbon concentration analysis and excitation emission matrix spectroscopy to determine organic matter concentration and characteristics. Methods used in sample collection and analysis are described in detail within the methods document included as part of this resource.

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 Contact

Resources
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Survey of Stormwater Managers in Utah
Created: June 28, 2016, 5:44 p.m.
Authors: Andrea Armstrong

ABSTRACT:

This is a final report that summarizes the findings of a survey of stormwater managers in Utah conducted by Andrea Armstrong (Sociology, USU) in partnership with the Utah Stormwater Advisory Committee (USWAC). The final report includes an overview of methods, descriptive findings, and an executive summary.

The purpose of this effort was to collect statewide data, in partnership with the Utah Storm Water Advisory Committee, on stormwater managers attitudes, perceptions, and behaviors surrounding various aspects of stormwater management, including document updates, use of low impact development infrastructure, monitoring activities, water quality condition perceptions, changes in landscape and climate patterns, partnerships with irrigation organizations, information uses, program challenges, important dimensions of program activities, and water quality monitoring activities.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network aquatic site on the Knowlton Fork tributary to Red Butte Creek (RB_KF_BA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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ABSTRACT:

This dataset contains the results of a nutrient limitation study conducted in the Logan River, the Middle Provo River, Red Butte Creek and the Jordan River. We measured the response of stream biofilms to nitrogen and phosphorus enrichment with nutrient diffusing substrates. Biofilm response was measured as chlorophyll a and ash-free dry mass. The mean, standard deviation, and sample size of biofilm responses to nutrient enrichment treatments are included in this dataset. The dataset also includes the concentration of total nitrogen, total phosphorus, NH4-N, NO3-N, and SRP in stream water samples collected from each site.

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Utah Board of Water Resources Database
Created: July 13, 2016, 12:18 a.m.
Authors: Andrea Armstrong · Douglas Jackson-Smith

ABSTRACT:

This dataset consists of information on water infrastructure projects that were funded by the Utah Board of Water Resources within the Division of Water Resources, between March 1998 and June 2013. The database consists of three types of files: 1) pdf files of the publically available Board of Water Resources reports, which describe proposed and funded projects, 2) an Access database, in which researchers at Utah State University coded these reports across 341 variables, and 3) a geospatial database within which select infrastructure projects were digitized and spatially referenced. The geodatabase consists of line and point shapefiles, which represent a portion of the irrigation and municipal infrastructure projects financially supported by the Utah BWR.

Data were compiled from the 'board folders,' or summary reports of the Utah Board of Water Resources meetings. USU researchers developed a codebook (see the Access Database Variable Names document) to standardize the coding and categorization of information within board folders. Based on the coded information, projects were selected for digitization and creation of a shapefile (located within the geodatabase). Projects were hand-digitized using the National Hydrography Dataset and aerial imagery that corresponded with the time of project implementation.

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ABSTRACT:

The purpose of this effort is to track longitudinal changes in stormwater organizations’ plans and activities, as represented on annual reports submitted to the Utah Division of Water Quality. There are two datasets available in this effort: the pdf files of annual reports, and a dataset that organizes key information extracted from the reports in a table format.

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Water News Media Analysis
Created: July 14, 2016, 10:13 p.m.
Authors: Courtney Flint · Charles Mascher

ABSTRACT:

This dataset contains coded information from an analysis of articles about water gathered from two newspapers in Utah. Articles from the Salt Lake Tribune were assessed from 2012 through 2015 and articles from the Logan Herald Journal were assessed from 2012 through 2016). Articles were gathered by searching on line newspaper databases for articles using the keyword "water". After being sorted for relevance, articles with primary focus on water were coded for content and journalistic parameters using an online survey template developed within Qualtrics software. Intercoder reliability was established among the coding team.

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ABSTRACT:

This review of literature compiles modeling effort that were undertaken for the Cache Valley, Utah, USA in groundwater (head and concentration), surface water, water quality (temperature, sediments, and chemical contaminants), and climate. In other words, this work is a compilation of the studies that included a modeling framework to model any of the above mentioned systems.

Most of the literature pertaining to the aquifer characterization models in Cache Valley were either obtained from government reports or unpublished work. The review of the literature points to the lack of the use of computer models that are available in the field to model the aquifer. The current models characterizing the aquifer in Cache Valley indicates the need for revising both the conceptual and computer models. The primary reason being differences in the characterization by different workers. However, there has been a steady buildup of conceptual models characterizing the aquifer.

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Water Management Adaptation to Climate Change in Utah
Created: July 15, 2016, 12:07 a.m.
Authors: Morey Burnham · Zhao Ma · Joanna Endter-Wada · Tim Bardsley

ABSTRACT:

This dataset contains interview data collected from policy makers and water managers in Utah. Interviews were conducted in 2013. Questions focused on water management challenges related to drought preparedness, climate change, population growth, urbanization, and water transfers, as well as water managers' modeling and information needs. Due to privacy concerns, interview transcripts are not provided. More details on the results of the interviews may be found here:

Burnham, Morey, Zhao Ma, Joanna Endter-Wada, and Tim Bardsley, 2016. Water Management Decision Making in the Face of Multiple Forms of Uncertainty and Risk. Journal of the American Water Resources Association (JAWRA) 52(6):1366-1384. DOI: 10.1111/1752-1688.12459

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ABSTRACT:

This report summarizes results from my first year’s iUTAH fellowship (2012-13), which involved exploratory, qualitative research on local water management in the Wasatch Regional Metropolitan Area, specifically focusing on Cache Valley, Heber Valley, and the Red Butte Watershed of Salt Lake City, Utah. Data collection consisted of two types of activities: meeting observations and semi-structured interviews. I reviewed meeting notes and synthetic notes for prevailing themes, and distinguished between patterns that emerged both within and across the three study areas.

The structure of water management in the WRMA crosses macro-institutional, meso-watershed, and micro-individual scales. The focus of my research has been at the meso-scale, within which many local water management organizations (LWMOs) make critical decisions surrounding water quality and quantity. In this first phase of my work, I identify five types of key organization decisions made by LWMOs: operational, maintenance, water supply, infrastructure change, and enforcement. I then describe four types of linkages among WRMA water actors and provide examples of how these linkages impact LWMOs’ decisions. I then describe and analyze the ways in which LWMOs are making adaptive decisions in the face of key changes in urbanization and water availability. Two common adaptive processes are: (a) improving infrastructure efficiency, and (b) engaging in organizational partnerships. The report concludes with directions for future research. The LWMO interview instrument is included in the appendix.

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ABSTRACT:

The purpose of this research is to understand the experiences of and challenges faced within local water management. Data were collected using in-person and telephone interview methods. Interview participants consisted of stormwater managers in municipalities, irrigation companies, and private firms throughout Utah. Participants were selected based upon the types of management arrangements in place surrounding stormwater conveyance. In total, 30 municipal representatives, 10 irrigation company representatives, and 3 private sector representatives participated. Detailed findings and preliminary analyses are included in this report.

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T.W. Daniels Sapflux Aspen
Created: July 15, 2016, 9:26 p.m.
Authors: Allison Chan · David Bowling

ABSTRACT:

This data set contains 15-min sapflux data from 12 aspens at the T.W. Daniels Experimental Forest in Logan Canyon, along with meteorological and soil temperature and moisture measurements. The sapflux data are presented as raw data as well as processed data. Filtering steps were done to remove bad data- the intermediate filtering steps are also included for clarity. Sapflux data collection commenced on 13 May 2014 and continued until 12 July 2015. A complete description of the methods can be found in: AM Chan, (2015), "Tree Transpiration from Two Forests in the Wasatch Mountains, Utah", MS Thesis, Dept of Biology, University of Utah.

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Knowlton Fork Sapflux
Created: July 15, 2016, 10:17 p.m.
Authors: Allison Chan · David Bowling

ABSTRACT:

This is a complete data set that includes sapflux data from 12 aspens and 12 white firs at Knowlton Fork in Red Butte Canyon. Raw 15-min sapflux data for each tree along with processed data are included as well as met data for the site. The sapflux data are presented as raw data as well as processed data. Filtering steps were done to remove bad data- the intermediate filtering steps are also included for clarity. Sapflux data collection began on 23 August 2013 and continued until 5 December 2013 and was then re-started on 20 February 2014 and continued until 5 July 2015. A complete description of the methods can be found in: AM Chan, (2015), "Tree Transpiration from Two Forests in the Wasatch Mountains, Utah", MS Thesis, Dept of Biology, University of Utah.

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T.W. Daniels Sapflux Subalpine Fir
Created: July 16, 2016, 3:49 p.m.
Authors: Allison Chan · David Bowling

ABSTRACT:

This data set contains 15-min sapflux data from 12 subalpine firs at the T.W. Daniels Experimental Forest in Logan Canyon, along with meteorological and soil temperature and moisture measurements. The sapflux data are presented as raw data as well as processed data. Filtering steps were done to remove bad data- the intermediate filtering steps are also included for clarity. Sapflux data collection commenced on 24 March 2014 and continued until 12 July 2015. A complete description of the methods can be found in: AM Chan, (2015), "Tree Transpiration from Two Forests in the Wasatch Mountains, Utah", MS Thesis, Dept of Biology, University of Utah.

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RFA 3 Model Inventory
Created: July 16, 2016, 4:11 p.m.
Authors: David Rosenberg

ABSTRACT:

This dataset contains raw data, scripts, and plots used to analyze responses to the iUTAH Research Focus Area (RFA) 3 model inventory. The inventory was conducted via a Google Survey Form among RFA3 researchers on the RFA email list from August 2015 to October 2015. The purpose of the survey/inventory was to overview iUTAH RFA3 team's modeling efforts, map current efforts onto iSAW conceptual model (doi:10.1002/2014EF000295), and identify further opportunities to couple models as part of the RFA3 team's mission. Results herein are intended to help visualize results from the survey and productively encourage further discussion + coupling work.

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ABSTRACT:

This dataset reports the nitrogen isotope composition of leaves from 11 common riparian plant species collected from streams across the three iUTAH watersheds in October 2013 and July-August 2014. In addition, algae and moss samples were collected at many of the same sites on the Salt Lake Valley streams in September 2014. See the attached abstract and methods for more details.

Leaf samples were collected at 255 sites. Sites consisted of a ~ 30 m transect parallel to the stream, including both sides of the stream when possible. We sampled leaves from up to 11 species representative of the local flora when present (see spreadsheet for species names). Plants were only sampled if they were in close proximity (< 2 m) of the perennial channel or were visibly rooted in the stream. At each site, we collected 5 – 15 leaves from each species, including a mixture of mature sun and shade leaves from all parts of the plant. Where multiple individuals of the same species were present at the same site, we sampled leaves from up to five individuals, which were then composited by species. We sampled Salt Lake Valley sites during late September / early October 2013, and Cache and Heber Valley sites in late July 2014.

Please approach the algae/moss carbon isotope data with caution as carbonates were not removed prior to analysis; however, samples were thoroughly rinsed in deionized water to remove associated sediment.

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Red Butte Canyon meadow and lawn soil biogeochemical data
Created: July 16, 2016, 9:06 p.m.
Authors: Steven Hall

ABSTRACT:

Here we report biogeochemical data from two sites in the Red Butte Creek watershed, Todd's Meadow in Red Butte Canyon, and Sage Pt. lawn on the U of Utah Canyon. GPS coordinates (WGS 84) for these sites are: 40.789, -111.796462 and 40.763, -111.830, respectively. Data were collected from 2013 - 14 in the context of a snow manipulation at both sites. See the attached document for details. Data include: surface soil moisture, temperature, and oxygen mixing ratios, extractable nitrogen (N) pools, total soil N, N in soil lysimeters, HCl-extractable soil iron, nitrate isotope composition, soil potential denitrification rates. A manuscript describing methods in detail is included.

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Red Butte Creek stream and groundwater ion concentrations
Created: July 18, 2016, 8:11 p.m.
Authors: Steven Hall

ABSTRACT:

Stream and groundwater samples were collected irregularly from August 2013 to November 2014 for analysis of major ions by ion chromatography. Sites included the Red Butte Creek GAMUT stations. Please see the published manuscript in Environmental Science & Technology for further details on sampling methods and analyses of these data.

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Discharge Rating Curve at Red Butte Creek near Red Butte Gate Basic Aquatic Site (RB_RBG_BA)
Created: July 19, 2016, 8:10 p.m.
Authors: iUTAH Cyberinfrastructure Team

ABSTRACT:

This dataset contains a stage-discharge relationship developed for the iUTAH GAMUT Network aquatic site on Red Butte Creek near Red Butte Gate Basic Aquatic Site (RB_RBG_BA). Discharge measurements were collected by a SonTek FlowTracker. Measured stage and discharge and the curve are contained in the Rating Curve file. Information on the site conditions and any issues with discharge measurements are documented in the README file. Files associated with each measurement (e.g., output by the FlowTracker instrument) are contained in the .zip directory. This rating curve was used to generate discharge data through 12/31/2015. New versions of these files may be loaded when new flow measurements are taken. Resulting discharge data is published in the iUTAH GAMUT operational databases and may be accessed via http://data.iutahepscor.org/tsa.

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Utah Water Watch Evaluation Survey
Created: July 18, 2016, 8:29 p.m.
Authors: Brian T. Greene · Andrea Armstrong · Nancy Mesner

ABSTRACT:

We evaluated volunteers' opinions of the Utah Water Watch program to see if there are ways that Utah Water Watch can improve. We assessed volunteers' knowledge and attitudes about water quality and science, and how these may have changed based upon their participation in the program.

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Generic Generic

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network climate site near Todd's Meadow (RB_TM_C). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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Generic Generic
Knowlton Fork, RBC, soil nitrogen data
Created: July 18, 2016, 8:40 p.m.
Authors: Samantha R Weintraub

ABSTRACT:

This dataset includes measurements of soil nitrogen pools and fluxes from two vegetation types (forest and herbaceous) and two landscape positions (upper and lower slopes) in the Knowlton Fork sub-catchment of Red Butte Creek watershed. Sites are located near the iUtah Knowlton Fork Climate Station, and measurements were made during June, August, and October of 2015. The dataset includes concentrations of inorganic nitrogen, soil nitrate isotope values, bulk concentrations and stable isotope values of soil organic carbon and nitrogen, concentrations of soil microbial biomass carbon and nitrogen, and nitrate leachate from below the rooting zone. Also included are carbon and nitrogen concentrations and isotope values from leaves.

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Utah Water Voices
Created: July 18, 2016, 8:59 p.m.
Authors: Courtney Flint · Charles Mascher

ABSTRACT:

A series of interviews were conducted during the summer of 2015 by a team led by Courtney Flint, working for Utah State University, funded by the iUTAH water project.

The purpose of the interviews was to get a general idea of public views and opinions of issues surrounding water.

The participants were asked a series of questions in a semi-structured conversational style. These conversations were recorded and then analyzed.

The interviews were conducted at various parks in Logan and Salt Lake City. They were selected via a public intercept method, where the interviewers selected park visitors at random and approached them to do interviews.

Afterwards, the interviewees filled out a short form with demographic information and consent to release. Demographic information is not being released with this dataset due to privacy issues.

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Development of a 'Water-Relevant Typology' of Urban Neighborhoods
Created: July 18, 2016, 9:35 p.m.
Authors: Douglas Jackson-Smith · Martin Buchert · Philip Stoker

ABSTRACT:

This dataset and technical report summarizes the methodology and results of a project to develop a water-relevant typology of urban neighborhoods for the greater Wasatch Range Metropolitan Area in northern Utah.

The technical report provides details about the original sources of data and analytic methodology deployed to create the typology. The work is also summarized in a peer-reviewed open-access article published in Cities and the Environment (Available at: http://digitalcommons.lmu.edu/cate/vol9/iss1/5 and copied below).

For users who wish to see copies of the underlying datasets (all aggregated at the census block group scale) for the study area, we have included a text file codebook and files in various formats (.csv, .xlsx, and .sav) for public use.

The effort was supported by the NSF-funded iUTAH project, and has been used to guide the design and implementation of an urban water observatory that captures social, built, and natural system characteristics.

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Discharge Rating Curve at Red Butte Creek near Foothill Drive Advanced Aquatic Site (RB_FD_AA)
Created: July 19, 2016, 10:03 p.m.
Authors: iUTAH GAMUT Working Group

ABSTRACT:

This dataset contains a stage-discharge relationship developed for the iUTAH GAMUT Network aquatic site on Red Butte Creek near the Foothill Drive Bridge (RB_FD_AA). Discharge measurements were collected by a SonTek FlowTracker. Measured stage and discharge and the curve are contained in the Rating Curve file. Information on the site conditions and any issues with discharge measurements are documented in the README file. Files associated with each measurement (e.g., output by the FlowTracker instrument) are contained in the .zip directory. This rating curve was used to generate discharge data through 12/31/2015. New versions of these files may be loaded when new flow measurements are taken. Resulting discharge data is published in the iUTAH GAMUT operational databases and may be accessed via http://data.iutahepscor.org/tsa.

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Discharge Rating Curve at Red Butte Creek near Cottams Grove Basic Aquatic Site (RB_CG_BA)
Created: July 19, 2016, 10:26 p.m.
Authors: iUTAH Cyberinfrastructure Team

ABSTRACT:

This dataset contains a stage-discharge relationship developed for the iUTAH GAMUT Network aquatic site on Red Butte Creek near Cottams Grove (RB_CG_BA). Discharge measurements were collected by a SonTek FlowTracker. Measured stage and discharge and the curve are contained in the Rating Curve file. Information on the site conditions and any issues with discharge measurements are documented in the README file. Files associated with each measurement (e.g., output by the FlowTracker instrument) are contained in the .zip directory. This rating curve was used to generate discharge data through 12/31/2015. New versions of these files may be loaded when new flow measurements are taken. Resulting discharge data is published in the iUTAH GAMUT operational databases and may be accessed via http://data.iutahepscor.org/tsa.

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Generic Generic

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network climate site above Red Butte Reservoir (RB_ARBR_C). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network aquatic site on Red Butte Creek above Red Butte Reservoir (RB_ARBR_AA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Charleston Climate Site (PR_CH_C)
Created: July 20, 2016, 10:11 p.m.
Authors:

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network climate site near Charleston (PR_CH_C). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Trial Lake Climate Site (PR_TL_C)
Created: July 20, 2016, 8:19 p.m.
Authors:

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network climate site near Trial Lake (PR_TL_C). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network aquatic site on the Provo River near lower Midway (PR_LM_BA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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Discharge Rating Curve at Provo River near Soapstone Basin Aquatic Site (PR_ST_BA)
Created: July 20, 2016, 8:58 p.m.
Authors: iUTAH Cyberinfrastructure Team

ABSTRACT:

This dataset contains a stage-discharge relationship developed for the iUTAH GAMUT Network aquatic site on Provo River near Soapstone Basin Aquatic Site (PR_ST_BA). Discharge measurements were collected by a HACH FH950 and Marsh McBirney Flo-Mate. Measured stage and discharge and the curve are contained in the Rating Curve file. Information on the site conditions and any issues with discharge measurements are documented in the README file. Files associated with each measurement (e.g., output by the FH950 instrument) are contained in the .zip directory. This rating curve was used to generate discharge data through 9/28/2016. New versions of these files may be loaded when new flow measurements are taken. Resulting discharge data is published in the iUTAH GAMUT operational databases and may be accessed via http://data.iutahepscor.org/tsa.

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Discharge Rating Curve at Logan River near Tony Grove Basic Aquatic Site (LR_TG_BA)
Created: July 22, 2016, 1:07 a.m.
Authors: iUTAH Cyberinfrastructure Team

ABSTRACT:

This dataset contains a stage-discharge relationship developed for the iUTAH GAMUT Network aquatic site on Logan River near Tony Grove Basic Aquatic Site (LR_TG_BA). Discharge measurements were collected by a SonTek FlowTracker. Measured stage and discharge and the curve are contained in the Rating Curve file. Information on the site conditions and any issues with discharge measurements are documented in the README file. Files associated with each measurement (e.g., output by the FlowTracker instrument) are contained in the .zip directory. This rating curve was used to generate discharge data through 9/30/2016. New versions of these files may be loaded when new flow measurements are taken. Resulting discharge data is published in the iUTAH GAMUT operational databases and may be accessed via http://data.iutahepscor.org/tsa.

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iUTAH GAMUT Network Raw Data at Spring Creek Storm Drain (LR_SC_SD)
Created: July 22, 2016, 1:18 a.m.
Authors:

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Logan River Network storm drain site near Spring Creek Storm Drain (LR_SC_SD). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network aquatic site on the Logan River at the Main Street Highway 89/91 bridge (LR_MainStreet_BA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network aquatic site on the Logan River at Mendon Road/600 South (LR_Mendon_AA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Golf Course Climate Site (LR_GC_C)
Created: July 22, 2016, 6:38 p.m.
Authors:

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network climate site near the Logan River Golf Course (LR_GC_C). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network climate site near Franklin Basin (LR_FB_C). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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Discharge Rating Curve at Logan River near Franklin Basin Basic Aquatic Site (LR_FB_BA)
Created: July 22, 2016, 7:53 p.m.
Authors: iUTAH Cyberinfrastructure Team

ABSTRACT:

This dataset contains a stage-discharge relationship developed for the iUTAH GAMUT Network aquatic site on Logan River near Franklin Basin Basic Aquatic Site (LR_FB_BA). Discharge measurements were collected by a SonTek FlowTracker. Measured stage and discharge and the curve are contained in the Rating Curve file. Information on the site conditions and any issues with discharge measurements are documented in the README file. Files associated with each measurement (e.g., output by the FlowTracker instrument) are contained in the .zip directory. This rating curve was used to generate discharge data through 9/30/2016. New versions of these files may be loaded when new flow measurements are taken. Resulting discharge data is published in the iUTAH GAMUT operational databases and may be accessed via http://data.iutahepscor.org/tsa.

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Social Vulnerability at the Census Place level
Created: July 22, 2016, 8:03 p.m.
Authors: Matthew Wheelwright

ABSTRACT:

This dataset uses Census Data following published social vulnerability index literature to provide an index at the Place level.

The Corps of Engineers has chosen SoVI as the “foundational SVA (Social Vulnerability Analysis) method for characterizing social vulnerability….” (Dunning and Durden 2013) The University of South Carolina has provided extensive and historic data for this methodology. Susan Cutter and her team have published their methodology and continue to maintain their database. Thus it was chosen as the “primary tool for [Army] Corps SVA applications.” (ibid) The downside is that this method is complex and hard to communicate and understand at times. (S. Cutter, Boruff, and Shirley 2003) The Social Vulnerability Index (SoVI) for this study was constructed at the U.S. Census Place level for the state of Utah. We utilized the conventions put forth by Cutter (2011) as closely as possible using the five-year American Community Survey (ACS) data from 2008 to 2012. The ACS collects a different, more expansive set of variables than the Census Long Form utilized in Cutter et al. (2003), which required some deviation in variable selection from the original method. However, Holand and Lujala (2013) demonstrated that the SoVI could be constructed using regional contextually appropriate variables rather than the specific variables presented by Cutter et al. (2003). Where possible, variables were selected which matched with the Cutter et al. (2003) work. The Principle Components Analysis was conducted using the statistical software R version 3.2.3 (R 2015) and the prcomp function. Using the Cutter (2011) conventions for component selection, we chose to use the first ten principle components which explained 76% of the variance in the data. Once the components were selected, we assessed the correlation coefficients for each component and determined the tendency (how it increases or decreases) of each component for calculating the final index values. With the component tendencies assessed, we created an arithmetic function to calculate the final index scores in ESRI’s ArcGIS software (ESRI 2014). The scores were then classified using an equal interval classification in ArcGIS to produce five classes of vulnerability, ranging from very low to very high. The SoVI constructed for our study is largely consistent with previous indices published by Susan Cutter at a macro scale, which were used as a crude validation for the analysis. The pattern of vulnerability in the state is clustered, with the lowest vulnerability in the most densely populated area of the state, centered on Salt Lake City (see Figure [UT_SoVI.png]). Most of the state falls in the moderate vulnerability class, which is to be expected.

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Utah's Counties: Sensitivity to Water Hazards
Created: July 22, 2016, 8:17 p.m.
Authors: Matthew Wheelwright

ABSTRACT:

This dataset contains important categories (per an extensive literature review) in relation to vulnerability to water hazards within Utah at the County level. Although social and physical vulnerability to water hazards (i.e. flooding) data has been collected extensively in many coastal areas, this is a costly problem in Utah and many other non-coastal areas. The variables shown here are categorized by type and collection method. 1. General data is shown for all Counties in Utah. These are taken from the 2010 Census. 2. Literature suggests that there are various approaches which local governments take to mitigate the impacts of flood events. Indicators of these approaches are captured in the section entitled Web Survey. A web survey was conducted of each County. The data includes evaluations of content including water hazard education, land use restrictions described in the code, freeboard requirements, and emergency operations plan implementations. 3. A social vulnerability index as created by the University of South Carolina is shown here. More information can be found at their website. 4. Event data is summarized for number of events and estimated monetary damages. This NOAA dataset helps us understand the nature of past experience and physical exposure to water hazards. Utah's Hazard Mitigation Plan 2014 includes a flood vulnerability score. It is included here for reference but is not critiqued as part of this dataset. 5. Fema has modeling software known as HAZUS which can be used to estimate damages for certain hazards including flooding. A county level summary is included here with estimated of building damage and exposure. 6. Dams are a man-made structure which play a part on flood management and can also create additional exposure. 7. Much of social vulnerability and disaster management should consider those with special needs. Census and the Division of Hazard Mitigation of Utah help us understand more of this important context.

Together these data paint a picture of Utah's vulnerabilities to flood hazards and potential exposure to other natural hazard events. Place level statistics were also collected and add insight at that spatial scale. they can be found here: http://repository.iutahepscor.org/dataset/hazard-mitigation-and-capacity-in-utah-census-places. The variables are different as prescribed in the readme file there.

Further details of the data collection methods can be found in the data dictionary within the spreadsheet workbook or in the ReadMe file included as a resource here.

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ABSTRACT:

This dataset contains important categories (per an extensive literature review) in relation to vulnerability to water hazards within Utah at the Census Place level (i.e. cities). Although social and physical vulnerability to water hazards (i.e. flooding) data has been collected extensively in many coastal areas, this is a costly problem in Utah and many other non-coastal regions. The variables shown here are categorized by type and collection method. 1. General data is shown for all Census Places in Utah including County, Geocode, and Total Population. These are taken from the 2010 Census. 2. Literature suggests that there are various approaches which local governments take to mitigate the impacts of flood events. Indicators of these approaches are captured in the section entitled Web Survey. A web survey was conducted of each and every census place in Utah. The data includes evaluations of content including water hazard education, land use restrictions described in the code, freeboard requirements, and emergency operations plan implementations. 3. Information about the local government including their planning and building inspector staff was collected using a phone survey along with emails and website investigations. 4. FEMA data was consolidated from FEMA's website showing census places with current insurance premium discounts achieved by demonstrating compliance with certain federal requirements. It also includes data on policies and losses. 5. A social vulnerability index was created by our team for this project and details can be found here: http://repository.iutahepscor.org/dataset/social-vulnerability-at-the-census-place-level. This dataset includes summary findings from the SoVI index. 6. As housing is recognized in the literature as a contributer to natural hazard vulnerability, important housing statistics were defined and created from Census data. These include housing age, median value, and renter occupied statistics. A standardized rating of building code effectiveness is also included from a recent Utah Hazard Mitigation Report. 7. Event data is summarized for number of events and estimated monetary damages from another of our team's datasets found here: http://repository.iutahepscor.org/dataset/noaa-storm-events. This NOAA dataset helps us understand the nature of past experience and physical exposure to water hazards. 8. As this dataset is focused on water hazard exposure, two measurements were calculated for each census place reflecting the percentage area of the city included in the defined special flood hazard area.

Together these data paint a picture of Utah's vulnerabilities to flood hazards and potential exposure to other natural hazard events. County level statistics were also collected and add insight at that spatial scale. they can be found here: http://repository.iutahepscor.org/dataset/utah-s-counties-sensitivity-to-water-hazards. The variables are different as prescribed in the readme file there.

Further details of the data collection methods can be found in the data dictionary within the spreadsheet workbook or in the ReadMe file included as a resource here.

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NOAA Flood Events
Created: July 22, 2016, 10:11 p.m.
Authors: Matthew Wheelwright

ABSTRACT:

This dataset contains event history for floods in Utah based on the NOAA weather database. It has been dis-aggregated to census place for alignment with other compatible databases in order to analyze local history and experience. The readme file elaborates on the methods of disaggregation. It includes data from 1997-2014, but more reliable data is separated for 2010-2014 after a change in NWS procedure and event recognition.

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Changes of Agricultural Land Use in WRMA
Created: July 22, 2016, 10:25 p.m.
Authors: Enjie Li

ABSTRACT:

This dataset documents the historical agricultural land use changes in WRMA from 1986 to 2014. We extracted agricultural land uses from the Water Related Land Use Dataset. Agricultural land uses include non-irrigated agricultural land (NI), irrigated agricultural land (IR), and sub-irrigated agricultural land (SubIR).

This dataset includes five years' GIS layers of agricultural land use in WRMA, namely, 1986, 1992, 2003, 2009, and 2014. Also, a statistical summary of the historical agricultural land use is provided.

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Future WRMA's Land Use Dataset
Created: July 22, 2016, 10:41 p.m.
Authors: Enjie Li

ABSTRACT:

This dataset contains the urban growth simulation results of future land use in 2040 of the Wasatch Range Metropolitan Area (WRMA) .In this study, we defined the WRMA as a broad, ten-county region that surrounds the Wasatch Mountain Range east of the Great Salt Lake and Salt Lake City in Utah. This region encompasses four Wasatch Front counties west of the mountain range (Weber County, Davis County, Salt Lake County, and Utah County), three Wasatch Back counties east of the mountain range (Morgan County, Summit County, and Wasatch County), and three counties neighboring the Wasatch Front (Cache County, Box Elder County, and Tooele County).

SLEUTH-3r urban growth simulation model is used to generate this dataset. Detailed SLEUTH model protocol can be found at: http://www.ncgia.ucsb.edu/projects/gig/index.html. The data used to run the SLEUTH-3r model include National Land Cover Database 2001, 2006, and 2011, US Census TIGER/Line shapefile for 2000 and 2011, United States Geological Survey 7.5 min elevation model, and Utah Landownership map from Utah Automated Geographic Reference Center.

Three alternative scenarios were developed to explore how conserving Utah’s agriculturale land and maintaining healthy watersheds would affect the patterns and trajectories of urban development:
1) The first scenario is a “Business as Usual” scenario. In this scenario, federal, state, and local parks, conservation easement areas, and surface water bodies, were completely excluded (value = 100) from development, and all the remaining lands are were naively assumed as developable (value = 0). This is the same excluded layer that was also used during model calibration. Under this scenario, we hypothesized that future urban grow will occur following the historical growth behaviors and trajectories and no changes in land designation or policies to restrict future growth will be implemented.
2) The second scenario is an “Agricultural Conservation” scenario. Within the developable areas that we identified earlier, we then identified places that are classified by the United States Department of Agriculture (USDA) as prime farmland, unique farmland, farmland of statewide importance, farmland of local importance, prime farmland if irrigated, and prime farmland if irrigated and drained. Each of these classes were assigned with an exclusion value from urban development of 100, 80, 70, 60, 50, and 40 respectively. These exclusion values reflect the relative importance of each farmland classification and preservation priorities. By doing so, the model discourages but does not totally eliminate growth from occurring on agricultural lands, which reflects a general policy position to conserve agricultural landscapes while respecting landowners’ rights to sell private property.
3) A “Healthy Watershed” scenario aims to direct urban growth away from areas prone to flooding and areas critical for maintaining healthy watersheds. First, we made a 200-meter buffer around existing surface water bodies and wetlands and assigned these areas an exclusion value of 100 to keep growth from occurring there. In addition, we assigned areas that have frequent, occasional, rare and no-recorded flooding events with exclusion values of 100, 70, 40 and 0 accordingly. We also incorporated the critical watershed restoration areas identified by the Watershed Restoration Initiative of Utah Division of Wildlife Resources (https://wri.utah.gov/wri/) into this scenario. These watershed restoration areas are priority places for improving water quality and yield, reducing catastrophic wildfires, restoring the structure and function of watersheds following wildfire, and increasing habitat for wildlife populations and forage for sustainable agriculture. However, there are not yet legal provisions for protecting them from urbanization, so we assigned these areas a value of 70 to explore the potential urban expansion outcomes if growth were encouraged elsewhere.

Future land use projections of 2040 are in GIF format, which can be reprojected and georeferenced in ArcGIS or QGIS, or be read directly as a picture.

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Swaps and Persistence of WRMA's 30 years' Land Use Changes
Created: July 23, 2016, 2:36 p.m.
Authors: Enjie Li

ABSTRACT:

The most traditional way to examine land use change is to use a cross-tabulation matrix to identify the most important categorical land use transition from time 1 to time 2. However, such method does not necessarily capture or indicate the real changes on the landscape. For example, assuming that from 1986 to 2015, Utah’s total agricultural land loss (aka, net change) is 200 square miles, but this does not mean that only 200 square miles of agricultural land have experienced land use change in the last 30 years. It is highly possible that a given quantity of agricultural land loss at one location can be accompanied by another quantity of agricultural land gain at another location (aka, swapping). Thus, by purely using net change, we might fail to capture the swapping component of change, and fail to capture the intricate transitions of landscape. This dataset analyzed important categorical land use change while account for persistence and swaps. It provides additional information concerning what happened on the landscape.

This dataset includes a statistical table and a GIS raster file. The table summarizes the persistence and swaps, as well as gross gain and gross loss in the Wasatch Range Metropolitan Area (WRMA). The GIS file is the compiled spatial layer that represents the gain, loss, persistence, and swaps on the landscape. We used Water Related Land Use data of Year 1986 to Year 2015 for this analysis. Land use categories used in this dataset include urban (URB), irrigated agricultural land (IR), and non-irrigated agricultural land (NI), sub-irrigated agricultural land (SubIR), riparian (RIP), water, (WATER), and other (OTHER). We then examined the categorical land use changes with a transition matrix.

A categorical land use gain is determined as the conversion from other sources to this particular categorical land use, and a categorical land use loss is defined as conversion from this particular categorical land use to other uses. For example, the gain of irrigated agricultural (IR) land use will be the sum of areas of urban to IR, non-irrigated agricultural land to IR, sub-irrigated agricultural land to IR, riparian to IR, water to IR, and other to IR. The total change is calculated as the sum of gain and loss. The net change equals to |Gain|-|Loss|. The Swap =2* MIN(Gain,Loss).

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Important categorical land use changes from 2001-2011
Created: July 25, 2016, 5:01 p.m.
Authors: Enjie Li

ABSTRACT:

This dataset documents the important categorical land use changes from 2001 to 2011 for the basins in the Wasatch Range Metropolitan Area (WRMA). Four cross-tabulation matrixes are provided, to summarize the changes of categorical land uses at Bear River Basin, Weber River Basin, Utah Lake Basin and Jordan River Basin.

These matrixes are useful to compare two maps of land use from different times, and to understand the categorical land use transitions over the time. By breaking down the whole WRMA into four sub-regions, these matrixes also help to compare the different patterns and processes of land use change among the four river basins.

We used year 2001 and 2011 National Land Use and Land Cover Dataset (NLCD) to produce these matrixes. Land use categories used in this dataset include: Water, Development/Open Space, Development/Low Density, Development/ Medium Density, Development /High Density, Barren, Forest, Scrubland, Grassland, Pasture, Cultivated Crops, and Wetland.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network aquatic site on Red Butte Creek near the gate (RB_RBG_BA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network aquatic site on the Logan River near Tony Grove (LR_TG_BA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network aquatic site on the Logan River near Franklin Basin (LR_FB_BA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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ABSTRACT:

This dataset includes nitrogen content (% dry mass) and stable isotopic composition of several lichen species within and surrounding the Salt Lake City metropolitan area.

This study focused on the nitrogen content and stable nitrogen isotope ratio of lichens on an elevational gradient along Red Butte Creek and Grandeur Peak to determine if lichens hold a record of inversion-based nitrogen deposition. After plotting the nitrogen content of the various samples it was determined that lichens do not hold a record of inversion-based nitrogen deposition.

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ABSTRACT:

Researchers at Utah State University created a short survey instrument to gather information about the views and concerns of Utah residents related to water issues. This survey was designed to give the public a chance to share their perceptions and concerns about water supply, water quality, and other related issues. While finding out what the ‘average citizen’ feels about key water issues was one goal of the project, the most interesting and important results are found in exploring ways in which perspectives about water vary across the population based on where people live and their demographic background (gender, age, education, etc.). This survey helps bring a voice to groups of citizens typically not represented in water policy debates. The findings have been and continue to be shared with water managers and decision makers who are planning for local and state water system sustainability.

This survey effort is also a key outreach and education component of the iUTAH project. High school groups, college and university classes, and others are invited to collaborate with iUTAH faculty to conduct public intercept surveys. Co-collection and analysis of survey data provides a hands-on learning opportunity about the principles of social science research. This effort helps increase awareness about the complexity of water issues in Utah, and the methods through which scientists learn about the public’s thoughts and concerns. Between July 2014 and April 2016, the survey has been implemented with collaborating students and faculty from the University of Utah, Utah Valley University, Weber State University, Salt Lake Community College, Southern Utah University, Dixie State University, and Snow College.

The survey involved using a structured protocol to randomly approach adults entering grocery stores in communities across the state, and inviting them to complete a 3-minute questionnaire about thier perceptions and concerns about water issues in Utah. The survey was self-administered on an iPad tablet and uploaded to a web server using the Qualtrics Offline App.

The project generated responses from over 7,000 adults, with a response rate of just over 42% . Comparisons of the respondents with census data suggest that they are largely representative of the communities where data were collected and of the state's adult population.

The data are anonymous and are available as a public dataset here. The data also served as the basis for the development of an open-source web-based survey data viewer that can be found at: http://data.iutahepscor.org/surveys/ and were also reported in Jones et al. (2016). We encourage users to use the viewer to explore the survey results.

The files below include a document describing in detail the method/protocol used in the study, and copies of field materials we used to implement the project. We also include copies of the full dataset and a codebook in various formats.

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Discharge Rating Curve at Logan River near Main Street Bridge Basic Aquatic Site (LR_MS_BA)
Created: July 25, 2016, 10:38 p.m.
Authors: iUTAH Cyberinfrastructure Team

ABSTRACT:

This dataset contains a stage-discharge relationship developed for the iUTAH GAMUT Network aquatic site on Logan River near Main Street Bridge Basic Aquatic Site (LR_MS_BA). Discharge measurements were collected by a SonTek FlowTracker. Measured stage and discharge and the curve are contained in the Rating Curve file. Information on the site conditions and any issues with discharge measurements are documented in the README file. Files associated with each measurement (e.g., output by the FlowTracker instrument) are contained in the .zip directory. This rating curve was used to generate discharge data through 9/30/2016. New versions of these files may be loaded when new flow measurements are taken. Resulting discharge data is published in the iUTAH GAMUT operational databases and may be accessed via http://data.iutahepscor.org/tsa.

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Discharge Rating Curve at Logan River near Water Research Laboratory Advanced Aquatic Site (LR_WL_AA)
Created: July 25, 2016, 10:54 p.m.
Authors: iUTAH Cyberinfrastructure Team

ABSTRACT:

This dataset contains a stage-discharge relationship developed for the iUTAH GAMUT Network aquatic site on Logan River near Water Research Laboratory West Bridge Advanced Aquatic Site (LR_WL_AA). Discharge measurements were collected by a SonTek FlowTracker. Measured stage and discharge and the curve are contained in the Rating Curve file. Information on the site conditions and any issues with discharge measurements are documented in the README file. Files associated with each measurement (e.g., output by the FlowTracker instrument) are contained in the .zip directory. This rating curve was used to generate discharge data through 9/30/2016. New versions of these files may be loaded when new flow measurements are taken. Resulting discharge data is published in the iUTAH GAMUT operational databases and may be accessed via http://data.iutahepscor.org/tsa.

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Discharge Rating Curve at Logan River near Mendon Road Advanced Aquatic Site (LR_MR_AA)
Created: July 25, 2016, 11:12 p.m.
Authors: iUTAH Cyberinfrastructure Team

ABSTRACT:

This dataset contains a stage-discharge relationship developed for the iUTAH GAMUT Network aquatic site on Logan River near Mendon Road Advanced Aquatic Site (LR_MR_AA). Discharge measurements were collected by a SonTek FlowTracker. Measured stage and discharge and the curve are contained in the Rating Curve file. Information on the site conditions and any issues with discharge measurements are documented in the README file. Files associated with each measurement (e.g., output by the FlowTracker instrument) are contained in the .zip directory. This rating curve was used to generate discharge data through 9/30/2016. New versions of these files may be loaded when new flow measurements are taken. Resulting discharge data is published in the iUTAH GAMUT operational databases and may be accessed via http://data.iutahepscor.org/tsa.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network aquatic site on Red Butte Creek near the Foothill Drive Bridge (RB_FD_AA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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FPOM and DOM isotope values
Created: July 26, 2016, 7:13 p.m.
Authors: Julie Kelso · Michelle Baker

ABSTRACT:

This dataset contains Carbon, Nitrogen, and Deuterium isotope values for Fine Particulate Organic Matter, Dissolved Organic Matter, Dissolved Inorganic Carbon, Dissolved Nitrate, and water for 4 watersheds in Utah. Samples were collected in September and November of 2014 and November and December of 2015. Eight sites in the Provo River, Logan River, and Red Butte Creek and 9 sites on the Jordan River were sampled.

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Wasatch Mountain Voices
Created: July 26, 2016, 7:23 p.m.
Authors: Courtney Flint · Brett Miller · Kent Taylor Dean

ABSTRACT:

The Wasatch Mountain Voices Project seeks to assess perceptions of values and vulnerabilities associated with the Wasatch Mountains. The connection to iUTAH research focuses on the degree to which water is mentioned by key informants interviewed for this project. A team of undergraduate research assistants assisted with this project and conducted interviews. It should be noted that this effort was a learning experience for students and a few inherent limitations are found in the flow of the interviews as a result of students in early stages of climbing the interview learning curve. We acknowledge some leading aspects in interview questions. However, a standard set of questions was asked in all interviews.

Interviews were conducted with representatives of the following categories:

1. City Planners
2. Emergency Managers
3. Natural Resource Managers (state or federal)
4. Representatives from environmental interest groups or organizations
5. Representatives of recreational interests
6. Representatives of Real Estate, Commercial/Economic or Development Interests

We used web-based information and existing contacts in the region to identify people in the categories to sample from for interviews. Interviews were largely held in person, but sometimes by phone. Key informant interviews followed a semi-structured format and lasted from 30 to 60 minutes.

While 90 people were originally interviewed, 2 were not audio recorded and 7 were people who declined to share their anonymous transcript. Thus this dataset contains 81 complete interview transcripts. Interviews were conducted with people from five different regions: Northen Wasatch, Central Wasatch, Wasatch Front, Wasatch Back, and Southern Wasatch. Interviews were held at a location convenient to the participant.

At the outset of the interviews, participants were presented with a letter of information describing informed consent procedures. When consent was given, interviews were audio recorded. Participants were given the opportunity to choose whether or not they want to be identified in project reporting. For those choosing not to be identified, any identifying information was redacted from transcripts.

Transcripts made from audio files used an ID system for identification and were created using NVivo software. Though initially planned to be shared, audio interview files were deleted upon the request by USU IRB.

The questions guiding the interviews were as follows:

1. How do the Wasatch Mountains influence the wellbeing in this area? In other words, what are some of the values or benefits of living in the Wasatch Mountain Region?
2. Are there any disadvantages or particular vulnerabilities related to the Wasatch Mountains that compromise or decrease wellbeing in this area?
3. What do you think are the key issues regarding the future sustainability and wellbeing of the Wasatch Mountain Region?
4. Are you aware of any efforts underway to help sustain or improve the wellbeing of the Wasatch Mountain Region in the future? Are you – or is your organization - involved in these efforts? Can you talk more about these efforts?

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Groundwater Quality Data from Private Wells in Cache Valley
Created: July 26, 2016, 7:32 p.m.
Authors: Joshua Gathro · William Fullmer

ABSTRACT:

This dataset contains data on water samples collected from 9 private wells in Cache Valley. All of the samples were taken in May and June of 2015. The sampled wells were either under pressure and required only a release of lever/knob for water to flow, or had a pump that brought water to the surface. The depth of wells varied from 50 feet to 300+ feet. Sample locations were limited to the areas within or directly surrounding Logan, Mendon, Clarkston, and Smithfield. The water samples were analyzed for pH, DO, As (III), As (V), Fe (II), Sulfide, Anions, Total Metals, and Organic Carbon.

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Snow Chemistry Data
Created: July 26, 2016, 8:08 p.m.
Authors: Greg Carling · Dylan Dastrup

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.

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Water Use Data by Municipality, 2010
Created: July 26, 2016, 10:18 p.m.
Authors: Douglas Jackson-Smith

ABSTRACT:

These data reflect estimates of the water use for various purposes for each of Utah's public water systems. The data were originally collected by the Utah Division of Water Rights in their annual surveys of public water systems, then cleaned and checked by staff at the Utah Division of Water Resources. Estimates are made for residential, commercial, industrial, and institutional users, and separates water used from domestic/potable water sources and secondary irrigation water supplies. The data were obtained from UDWR staff and compiled by Douglas Jackson-Smith and his students in 2014 and 2015.

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ABSTRACT:

These data reflect results of a household survey implemented in the summer of 2014. The survey randomly sampled households from 23 neighborhoods (census block groups) across 12 cities and 3 counties. Neighborhoods were purposively selected to represent different configurations of social, built, and natural environmental characteristics using the "iUTAH Urban Typology" (https://www.hydroshare.org/resource/84f00a1d8ae641a8af2d994a74f4ccfb/). Data were collected using a drop-off/pick-up methodology, and produced an overall response rate of over 62% (~2,400 respondents). The questionnaire included detailed questions related to household water use and landscaping behaviors, perceptions of water supply and quality, participation in water based recreation, concerns about water issues, and preferences for a range of local and state water policies.

Here we are making public an anonymized version of the large household survey dataset. To protect the identity of respondents, we have removed a few variables and truncated other variables.

Files included here:
englishsurveys and spanishsurveys: These folders contain the survey questionnaires used specific to each neighborhood.
Codebook in various formats: Tables (xls and csv files) with a list and definition of questions/variables, which correspond to the columns in the data files, and the encoding of the responses.
Dataset in various formats: Tables (csv, xls, sas, sav, dta files) containing numeric responses to each question. Each participant's responses correspond to a row of data. Each question corresponds to a column of data. Interpretation of the coded responses is found in the data codebook.
Maps: maps of the neighborhoods surveyed.
SummaryReports: Summaries of the results that compare across three counties, summary reports for each county, highlight reports for each city.

Summary reports are also available at http://data.iutahepscor.org/mdf/Data/household_survey/ including an overall report that provides comparisons of how these vary across the three counties where we collected data (Cache, Salt Lake, and Wasatch) as well as summary reports for each county and highlights reports for each city.

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ABSTRACT:

This effort will produce sub-watershed delineations created for ~66 stream sites across the three iUTAH GAMUT watersheds (including GAMUT Aquatic stations), where monthly water quality samples were collected 2013-2014. Sub-watershed delineations will allow for analysis of the landscape contributing to these sites, which can then be used in models of water quality for the stream sites. This will contribute to the iUTAH goal of modeling the impact of land-use changes on in-stream water quality.

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ABSTRACT:

This dataset contains biomass, nutrient and metal concentrations for soils at the Green Meadows Subdivision's Bioretention Field Site. This study assessed increase of pollutant concentrations from stormwater accumulation. Data begin in 2011 and continue through 2014. No data was collected in 2015.

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ABSTRACT:

This dataset contains various water quality variables for stormwater runoff samples collected at the Green Meadows Subdivision Bioretention Field Site, to assess pollutant . Data begin in 2011 and continue through 2015. Data were collected manually or with an ISCO automatic sampler (2013 only).

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ABSTRACT:

This dataset contains biomass, nutrient and metal uptake variables for plants grown at the Green Meadows Subdivision Bioretention Field Site. The purpose of this study was to assess the accumulation potential of pollutant of interest from stormwater runoff and how this differs among the three macrophyte species. Data begin in 2011 and continue through 2015. Plants were harvested mid season (June-July) and/or at the end of season (Sept-Oct).

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Aquatic GAMUT Bacterial Community Target Metagenomics-454 Pyro
Created: July 27, 2016, 12:36 a.m.
Authors: Erin Jones · Zach Aanderud

ABSTRACT:

This dataset contains .txt (tab delimited) files of OTU (operational taxonomic units) classifications for bacteria at iUTAH GAMUT sites in three watersheds in September 2014. Briefly, water column samples were filtered on 0.2 um membrane filters, which were dissolved and processed with MOBIO Power Soil DNA extraction kits. We used bacterial specific PCR-amplified 16S rDNA and 454-pyrosequencing, and then MOTHUR to generate OTU classifications.

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Green Roof Evapotranspiration
Created: July 27, 2016, 1:31 a.m.
Authors: Youcan Feng · Steven Burian

ABSTRACT:

The dataset records the observed evapotranspiration time series from the green roof of the Marriott Library on the University of Utah's campus for the year 2014. Three weighing lysimeters were set up to represent three types of the surface cover including non-vegetated medium, sedum, and bluegrass. Daily values (mm/day) were recorded. The data collection was primarily funded by the Sustainable Campus Initiative Fund from the Office of Sustainability at the University of Utah, the Graduate Student Research Funding from the Global Change and Sustainability Center at the University of Utah, and iUTAH.

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ABSTRACT:

This dataset consists of .kml and .kmz files identifying locations of green infrastructure projects implemented on the University of Utah campus. The locations are current as of 2013 and may be updated.

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Precipitation chemistry along an elevation gradient in Red Butte Canyon, Utah
Created: Aug. 3, 2016, 11:07 p.m.
Authors: Dasch Houdeshel

ABSTRACT:

Precipitation samples were collected at five elevations between 4880 m and 6255 m for three storm events in the winter of 2014 to observe changes in inorganic nitrogen concentrations in the precipitation for different elevations of Red Butte Canyon.

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ABSTRACT:

Ion concentrations and precipitation amount were measured at 14 sites in the Salt Lake and Cache Valleys from December 2013 to February 2014. Sample collection was sporadic at several sites. The goal of this study was to identify land use impacts on nitrogen deposition to the iUTAH watersheds.

A subset of samples was analyzed for 15N and 18O of NO3 and 15N of NH4.

Methods and findings are described in the associated JGR-B manuscript

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Red Butte Creek Network site near 900 W (1300 South) Basic Aquatic Site (RB_900W_BA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Flood Canal (PR_Flood_canal)
Created: Aug. 4, 2016, 1:18 a.m.
Authors:

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Provo River Network flood canal site adjacent to the Sage Creek Canal. Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Provo River Network site at Sage Creek Canal (PR_SageCreek_canal). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Red Butte Creek Network site near Connor Road Storm Drain (RB_CR_SD). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The "event" data values were collected at more frequent intervals when triggered by an increased flow from storm events.The file header contains detailed metadata for the site and the variable and method of each column.

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GAMUT Water Chemistry Data
Created: Aug. 5, 2016, 4:16 p.m.
Authors: Greg Carling · Dylan Dastrup · Timothy Goodsell

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.

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Amenity Index
Created: Aug. 6, 2016, 4:22 p.m.
Authors: Matthew Wheelwright

ABSTRACT:

This dataset contains an amenity index for all Utah Census Places. Using Census data and other available datasets, an index for 'amenityness' was created. Following Ganning and Flint's previous research note, the index is calculated using physical amenities as well as socio-economic indicators (See: Ganning, Joanna Paulson, and Courtney G. Flint. “Constructing a Community-Level Amenity Index.” Society & Natural Resources 23, no. 12 (November 2, 2010): 1253–58. doi:10.1080/08941920903030132).

This index adds context to any study where an understanding of local, natural amenities is valued. It contains the following physical amenity variables: 1. Open Land 2. Open Water 3. Kapos Classification 4. Number of Recreation sites

It also includes key indicators which come from Census Data. 1. Employment Diversity 2. Median Household Income 3. Seasonal Housing 4. Population Growth 5. In-migration from out of state 6. In-migration from out of county 7. College education 8. New Housing Built 9. Housing Valued over $175,000 10. Median Rent 11. Median Housing Value 12. Employment in arts, entertainment, recreation, accommodation, and food services.

For more information on the calculations and variables, please read Ganning & Flint's research note and the ReadMe file linked to this dataset or the data dictionary within the excel spreadsheet as Tab 2.

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ABSTRACT:

In collaboration with the Salt Lake City Parks and Public Lands Department, researchers at Utah State University created a tablet-based survey instrument to gather feedback from community members about a proposed green infrastructure project in the Glendale neighborhood at the "Three Creeks Confluence". The Confluence is where three urban creeks, Red Butte, Emigration, and Parleys, empty in to the Jordan River in pipes underground of the city. In addition to information about that specific project, this survey also gathered some broader community opinions regarding local parks along the Jordan River corridor. The survey was designed specifically for residents in the neighborhood surrounding the Jordan River and was implemented using iPads and a public-intercept convenience sampling methodology in publicly accessible spaces and public events including local parks, shopping areas, libraries, and community festivals. The Survey results are accessible for visualization at http://data.iutahepscor.org/surveys/survey/3Creeks.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network climate site near the Provo River at Woodland Basic Aquatic (PR_WD_BA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network climate site near Red Butte Creek at 1300 East Aquatic (RB_1300E_A). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for the site and the variable and method of each column.

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Dust chemistry and mineralogy
Created: Sept. 9, 2016, 1:59 a.m.
Authors: Greg Carling · Dylan Dastrup

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.

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Rating Curve Analysis Template - Jupyter Notebook
Created: Sept. 14, 2016, 5:07 p.m.
Authors: Chris Cox

ABSTRACT:

A template Jupyter Python (3) Notebook for analyzing discharge rating curve data. Data is imported from an excel file and analyzed following Herschy 2009. After an initial analysis, a least squares regression, is performed on the input data. Eventually it would be nice to implement a weighted regression based on uncertainties.

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Discharge Rating Curve at Blacksmith Fork above confluence with Logan River (LR_BSF_BA)
Created: Oct. 20, 2016, 8:13 p.m.
Authors: iUTAH Cyberinfrasructure Team

ABSTRACT:

This dataset contains a stage-discharge relationship developed for the iUTAH GAMUT Network aquatic site at Blacksmith Fork above confluence with Logan River (LR_BSF_BA). Discharge measurements were collected by a SonTek FlowTracker. Measured stage and discharge and the curve are contained in the Rating Curve file. Information on the site conditions and any issues with discharge measurements are documented in the README file. Files associated with each measurement (e.g., output by the FlowTracker instrument) are contained in the .zip directory. This rating curve was used to generate discharge data through 9/30/2016. New versions of these files may be loaded when new flow measurements are taken. Resulting discharge data is published in the iUTAH GAMUT operational databases and may be accessed via http://data.iutahepscor.org/tsa.

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Soil_pH_GIRF
Created: Oct. 28, 2016, 8:03 p.m.
Authors: Pratibha Sapkota

ABSTRACT:

Title- Soil pH Description- This dataset contains soil pH change over three years period from August 30, 2013, to Dec 6, 2015. GIRF has 9 bioretention cells namely- Upland-1,2,3 ;Control 1,2,3 and Wetland-1,2,3. Upland-1, Control-1, and Wetland-1 are bioretention cells built in 2010 and others are built in 2013. However, we decommissioned three older treatments and three newer (upland, control, and wetland- 1-6) in May 2015. Therefore, we only have data from three bioretention cells from May onwards.Soil pH was measured by Mettler Toledo FG-2 FiveGo Portable pH Meter.

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iUTAH GAMUT Water Quality Grab Sampling Results
Created: Nov. 3, 2016, 5:54 p.m.
Authors: iUTAH GAMUT Working Group

ABSTRACT:

This dataset contains the results of water quality sampling efforts in the iUTAH GAMUT watersheds (Logan River, Red Butte Creek, and Provo River). There were two separate sampling and analysis efforts:
1. A "synoptic" effort that involved sample collection every month at a number of sites in 2013-2014. For this effort, samples were analyzed for total phosphorus and total nitrogen, total coliform, E.coli, and water isotopes.
2. A "biweekly" effort that involved sample collection every two weeks and a smaller number of sites (mostly at GAMUT aquatic stations) in 2014-2016. For this effort, samples were analyzed for species of nitrogen and phosphorus, dissolved organic carbon, suspended and volatile solids, total coliform and E.coli, chlorophyll-a, and fluorescence indices.

In all cases, grab samples were collected from the thalweg of the channel. For the biweekly effort, samples were filtered for analyses of dissolved species, and filters were retained for TSS and VSS analysis. Nutrient, organic matter, and chlorophyll-a analyses were performed at the Aquatic Biogeochemistry Laboratory at Utah State University. Isotope analyses were performed at the Stable Isotope Ratio Facility for Environmental Research at the University of Utah. Bacterial analyses were performed either at the Aanderud Laboratory at Brigham Young University or by technicians in the field. Detailed collection and analyses methods are described in the files.

The current Excel files are organized with worksheets corresponding to People and Organizations, Dataset Citation, Methods, Variables, Sites, Specimens, Processing Levels, Units, and Analysis_Results. The Specimens sheet includes detailed metadata on the collection of the specimens, including the date and time. The Analysis_Results tab includes detailed metadata on the analyses of the specimens and the numeric results. These two are linked via the Sampling Feature Code.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Climate Station at Franklin Basin (LR_FB_C). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Logan River at Mendon Road (600 South) (LR_Mendon_AA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Soapstone Climate (PR_ST_C). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Provo River at Charleston Advanced Aquatic (PR_CH_AA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Red Butte Gate Basic Aquatic (RB_RBG_BA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Knowlton Fork Climate (RB_KF_C). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Logan River at the Utah Water Research Laboratory west bridge (LR_WaterLab_AA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Climate Station at Logan River Golf Course (LR_GC_C). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Lower Knowlton Fork Aquatic (RB_LKF_A). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Climate Station at TW Daniels Experimental Forest (LR_TWDEF_C). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network 1300 East Aquatic (RB_1300E_A). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Knowlton Fork Basic Aquatic (RB_KF_BA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Todds Meadow Climate (RB_TM_C). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Trial Lake Climate (PR_TL_C). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Provo River Below Jordanelle Reservoir Advanced Aquatic (PR_BJ_AA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Charleston Climate (PR_CH_C). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Blacksmith Fork above confluence with Logan River (BSF_CONF_BA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Climate Station at Tony Grove (LR_TG_C). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Logan River near Tony Grove (LR_TG_BA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Provo River near Soapstone Basic Aquatic (PR_ST_BA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Foothill Drive Advanced Aquatic (RB_FD_AA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Green Infrastructure Climate (RB_GIRF_C). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network 900 W (1300 South) Basic Aquatic (RB_900W_BA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Logan River at Main Street (Highway 89/91) Bridge (LR_MainStreet_BA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Above Red Butte Reservoir Advanced Aquatic (RB_ARBR_AA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Logan River near Franklin Basin (LR_FB_BA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Cottams Grove Basic Aquatic (RB_CG_BA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Provo River at Lower Midway (PR_LM_BA). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Above Red Butte Reservoir Climate (RB_ARBR_C). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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ABSTRACT:

This dataset contains quality control level 1 (QC1) data for all of the variables measured for the iUTAH GAMUT Network Beaver Divide Climate (PR_BD_C). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data.

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Test Resource
Created: Jan. 19, 2017, 1:28 p.m.
Authors: Amber Jones · Jeffery S. Horsburgh · Aanderud, Zach ·

ABSTRACT:

This is a test resource created to demonstrate HydroShare functionality.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network USGS Gage 10172200 above Red Butte Reservoir (RB_ARBR_USGS). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Kamas Base Station (PR_KM_B)
Created: Jan. 20, 2017, 9:37 p.m.
Authors:

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Kamas Base Station (PR_KM_B). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Provo River at Charleston Central Utah Water Conservancy District Gage (PR_CH_CUWCD). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Yellow Lake Repeater (PR_YL_R)
Created: Jan. 20, 2017, 9:37 p.m.
Authors:

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Yellow Lake Repeater (PR_YL_R). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Provo River Below Jordanelle Reservoir Central Utah Water Conservancy District Reservoir Release (PR_BJ_CUWCD). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Timpanogos Canal below Jordanelle Reservoir (PR_TC_CUWCD). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Red Butte Reservoir (RB_RBR_CUWCD)
Created: Jan. 23, 2017, 9:29 p.m.
Authors:

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Red Butte Reservoir (RB_RBR_CUWCD). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Harbor Drive Advanced Aquatic (PR_HD_AA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network USGS Gage 10163000 Provo River at Provo, UT (PR_HD_USGS). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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iUTAH Research Data Policy
Created: Jan. 26, 2017, midnight
Authors: Jeffery S. Horsburgh · Amber Jones

ABSTRACT:

iUTAH (innovative Urban Transitions and Aridregion Hydrosustainability) is a collaborative research and training program in Utah. As part of project requirements, iUTAH developed a data policy that seeks to maximize the impact and broad use of datasets collected within iUTAH facilities and by iUTAH research teams. This policy document focuses on assisting iUTAH investigators in creating and sharing high-quality data. The policy defines the data types generated as part of iUTAH and clarifies timelines for associated data publication. It specifies the requirements for submittal of a data collection plan, the creation of metadata, and the publication of datasets. It clarifies requirements for cases involving human subjects as well as raw data and analytical products. The Policy includes guidelines for data and metadata standards, storage and archival, curation, and data use and citation. Agreements for data publishers and data use are also included as appendices.

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iUTAH GAMUT Network Raw Data at Soapstone Climate (PR_ST_C)
Created: May 15, 2017, 10:34 p.m.
Authors: None

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Soapstone Climate (PR_ST_C). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Provo River at Charleston Advanced Aquatic (PR_CH_AA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Knowlton Fork Climate (RB_KF_C)
Created: May 15, 2017, 10:34 p.m.
Authors: None

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Knowlton Fork Climate (RB_KF_C). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Wilkins Repeater (LR_Wilkins_R)
Created: May 15, 2017, 10:34 p.m.
Authors: None

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Wilkins Repeater (LR_Wilkins_R). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Dentistry Building Storm Drain (RB_Dent_SD)
Created: May 15, 2017, 10:34 p.m.
Authors: None

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Dentistry Building Storm Drain (RB_Dent_SD). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Blacksmith Fork above confluence with Logan River (BSF_CONF_BA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Fort Douglas Storm Drain (RB_FortD_SD)
Created: May 15, 2017, 10:34 p.m.
Authors: None

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Fort Douglas Storm Drain (RB_FortD_SD). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Provo River at Upper Midway Central Utah Water Conservancy District Gage (PR_UM_CUWCD). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Lower Knowlton Fork Aquatic (RB_LKF_A)
Created: May 16, 2017, 2:44 a.m.
Authors: None

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Lower Knowlton Fork Aquatic (RB_LKF_A). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network River Heights Bridge Storm Drain (LR_RH_SD). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Beaver Divide Climate (PR_BD_C)
Created: May 16, 2017, 2:44 a.m.
Authors: None

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Beaver Divide Climate (PR_BD_C). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Cottams Grove Basic Aquatic (RB_CG_BA)
Created: May 16, 2017, 2:44 a.m.
Authors: None

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Cottams Grove Basic Aquatic (RB_CG_BA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Connor Road Storm Drain (RB_CR_SD)
Created: May 17, 2017, 12:48 a.m.
Authors: None

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Connor Road Storm Drain (RB_CR_SD). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Logan River at the Utah Water Research Laboratory west bridge (LR_WaterLab_AA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Climate Station at TW Daniels Experimental Forest (LR_TWDEF_C). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Provo River near Soapstone Basic Aquatic (PR_ST_BA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at GIRF Storm Drain (RB_GIRF_SD)
Created: May 17, 2017, 7:46 p.m.
Authors: None

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network GIRF Storm Drain (RB_GIRF_SD). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network USGS Gage 10154200 Provo River near Woodland, UT (PR_WD_USGS). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Climate Station at Tony Grove (LR_TG_C)
Created: May 17, 2017, 7:46 p.m.
Authors: None

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Climate Station at Tony Grove (LR_TG_C). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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iUTAH GAMUT Network Raw Data at Green Infrastructure Climate (RB_GIRF_C)
Created: May 22, 2017, 8:22 p.m.
Authors: None

ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Green Infrastructure Climate (RB_GIRF_C). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Provo River at Riverwoods Aquatic (PR_RW_A). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

Assessment of ecosystem ‘health’ traditionally uses structural indicators (e.g., biotic community composition) but often neglects indicators of ecosystem processes (e.g., decomposition rates), providing an incomplete picture of overall ecosystem condition. Efforts to establish a framework identifying thresholds of organic matter decomposition expected in relatively intact, moderately degraded, and severely degraded ecosystems have been stymied by limited geographic scope and variation in organic matter composition that preclude general use of the framework. The goal of the CELLulose Decomposition ExXperiment (CELLDEX) project is to compare riparian and in-stream organic matter decomposition rates (i.e., loss of tensile strength per unit time) across all of the Earth's major biomes using a standardized cotton strip assay. Using a ‘crowdsourcing’ approach with researchers from over 40 countries, CELLDEX involves the deployment of a standardized substrate assay in approximately 400 streams and their riparian zones, representing each of Earth’s major biomes, and spanning 140 degrees of latitude. Each partner is responsible for incubating standardized cotton strips in four reference streams for ~ 30 days near their home institutions and provide ancillary data on water temperature and chemistry. This simple, inexpensive assay omits intrinsic differences in organic matter (i.e., variation in chemical composition and physical structure), thus allowing the influence of extrinsic environmental factors (e.g., temperature, water chemistry, flow or precipitation regimes) to be better assessed. This assay also is sensitive to differences in environmental conditions at regional and watershed scales, including those associated with environmental degradation. Cellulose strips were deployed for approximately 30 days from mid-October to mid-November in four streams and adjacent riparian zones in central Utah, USA to measure rates of decomposition. Data in this resources reflect only data from the state of Utah, USA.

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ABSTRACT:

This dataset contains raw data for all of the variables measured for the iUTAH GAMUT Network Provo River Below Jordanelle Reservoir Advanced Aquatic (PR_BJ_AA). Each file contains a calendar year of data. The file for the current year is updated on a daily basis. The data values were collected by a variety of sensors at 15 minute intervals. The file header contains detailed metadata for site and the variable and method of each column.

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ABSTRACT:

This data set contains measurements for discharge in cfs and cms, stream temperature in °C , dissolved oxygen (DO) in mg/L and %/L, total dissolved solids (TDS) in µs/cm, pebble count, and geomorphic condition, at sites in the Weber River Basin and Bear River Basin. Discharge was measured using a Marsh McBurney hand-held flowmeter. DO, TDS, and stream temperature were measured using a YSI Pro 2030 water quality probe. Pebble count was conducted using a modified Wolman procedure where a random pebble is picked up every step diagonally across a stream in a zig-zag pattern until at least 100 pebbles are measured. The pebble is then measured to obtain size and recorded. Geomorphic condition was assessed visually by taking note of conditions such as stream complexity (presence or lack of pools, riffles, meandering thalweg etc.), percent shade on stream, flow and depth variability, bank stability, access to floodplain, wood recruitment, unnatural barriers and condition and quantity of riparian vegetation. Based on the these conditions, a classification of excellent, good, moderate, or poor was assigned. Atmospheric pressure, wind speed and air temperature were measured with a Kestrel handheld weather meter, cloud cover was assessed visually. A site key in addition to the date, time and location (latitude/longitude and UTM) is included. Not all sites have values for discharge and pebble count due to hazardous conditions.

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Logan GAMUT field operations database
Created: July 20, 2017, 6:50 p.m.
Authors: Chris Cox

ABSTRACT:

A SQLite database containing all field notes generated during the operation and management of the Logan GAMUT monitoring network, a component of the iUTAH project.
The database can be used as a reference when assessing GAMUT data. Alternatively, the database can be used as a template for other monitoring projects needing to create a system for managing field notes and tracking equipment location and maintenance.

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Concentrations of bacteria in storm water runoff
Created: July 24, 2017, 4:56 a.m.
Authors: Chase Beyer · R Ryan Dupont

ABSTRACT:

The introduction of pollutants into storm water runoff can be concerning since it can act as a vector for environmental pollution or even household contamination. This study will assess the microbial contamination of storm water runoff from various sources including a metal roof, a photocell, and dry wells collecting roof and parking lot runoff on the USU campus. The microbes being tested for are total coliforms, E. coli, and enterococcus. ISCO auto samplers and grab samples were used to gather storm water samples. Simulations were ran using off-gassed tap water on the metal roof a photovoltaic cell. The concentrations of the three microbes in the samples were determined using the IDEXX Quanti-tray 2000 system. It was found that samples taken from the dry wells had greater concentrations of total coliform and E. coli than surface samples. It was also found that the metal roof on the pump house had greater concentrations of all three indicator bacteria than the photovoltaic cell atop the roof.

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Soil Description for GAMUT Weather Stations
Created: July 26, 2017, 6:44 p.m.
Authors: Kshitij Parajuli · Scott B. Jones · John Lawley

ABSTRACT:

Soil properties are important for understanding soil and modeling process taking place throughout the soil profile. This dataset provides a detailed description of the soil profile including the soil texture, color, structure and root density within the soil pit excavated at each GAMUT weather station within the iUTAH network. In addition to soil information, the slope, aspect, vegetation, surface stone and rock content etc. for each station is also presented.​

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Salt Lake Valley tap water isotope ratio dataset
Created: July 27, 2017, 5:36 p.m.
Authors: Yusuf Jameel

ABSTRACT:

This data set contains stable isotope values of tap water collected in the Salt Lake Valley (SLV) from 2013 to 2016.

The proposed goals for the project was to:
1. Characterize tap water isoscapes across SLV to develop isotope budgets for tap water systems.
2. Use the budgets and infrastructure data to infer the most important contributing regions to different municipal systems and evaporative water loss from these systems.
3. Combine management data, isotope characterization of environmental waters, and tap water isotope data to develop isotopic fingerprints for contrasting water management practice

Data Collection Methods: Collected tap water from different municipal districts across the SLV in a series of bi-annual hydrological surveys. The samples are collected from local businesses, homes and offices in April and September/October every year since 2013.The survey was designed in hydrologically contrasting seasons to capture potential seasonal differences in the tap water isotopes.

Location of Data Collection: We have collected data from approximately 140 sites every survey so far. The sites are located within the Salt Lake county, Utah. So far we have collected more than 800 samples. Each site is assigned a unique site ID (for example: SLV-WS-049 which stands for Salt lake valley water site number 049). The metadata includes the complete address and geographic location of the sites.

Timing of Data Collection:
April (04/25/2013) and October 2013 (10/02/2013)
April (04/29/2014) and September 2014 (09/25/2014)
April (04/28/2015) and September 2015 (09/28/2015)
April (04/27/2016) and October 2016 (10/01/2016)

Data Analysis: For each site, samples were obtained by running the tap water for ~15 seconds before filling, capping and sealing (with parafilm) a clean 4 ml glass vial. Samples were analyzed for their isotopic composition within a few weeks of their collection at the Stable Isotope Ratios for Environmental Research (SIRFER), University of Utah, on Picarro L2130-i Cavity Ring Down Spectroscopy (CRDS) analyzer. All the sample values are reported using the δ notation, where δ=Rsample/Rstandard -1, R= 2H/1H and 18O/16O. Four injections of each sample were measured and corrected for memory effects, through-run drift, and calibrated to the VSMOW-VSLAP scale, using a suite of three laboratory reference waters (PZ: 16.9‰, 1.65‰; PT: -45.6‰, -7.23‰; UT: -123.1‰, -16.52‰; for δ2H and δ18O, respectively).

We published the results in Water resources research ( DOI: 10.1002/2016WR019104)

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Logan GAMUT Nitrate Bias Correction
Created: July 27, 2017, 8:47 p.m.
Authors: Chris Cox

ABSTRACT:

Jupyter notebooks detailing methods used to determine bias correction for Nitrate data at Waterlab and Mendon Road monitoring sites. The correction was utilized as part of data quality control and is included in quality control level 1 datasets.

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ABSTRACT:

Wastewater treatment plants significantly reduce the microbe levels in water. However, the remaining microbes may regrow in the nutrient-rich wastewater effluent.
Therefore, using this reclaimed effluent as a secondary water source can potentially contaminate crops. For this study, an agricultural field was irrigated using reclaimed wastewater from the Hyrum Wastewater Treatment Plant. The water was tested before and after irrigation to determine the microbial load applied to the crops. Then, daily plant samples were collected to determine both the initial microbial contamination level and the die-off after the irrigation event. All samples were tested on IDEXX’s Colilert and Enterolert trays. These trays contain large and small wells that each give positive/negative results. The different sized wells act like different dilutions to help quantify bacteria concentrations. Positive wells are counted and an IDEXX table used to convert the well counts into MPN counts for coliforms, E. coli, and Enterococcus, all found in high levels in wastewater influent. Test results demonstrated microbial regrowth in the reclaimed wastewater system. Additionally, the reclaimed water contaminated the irrigated plants and the contamination level was reduced significantly in the first 48 hours after wastewater application.

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Aquatic GAMUT Eukaryote Metagenomics
Created: July 31, 2017, 6:10 p.m.
Authors: Erin Jones · Zach Aanderud

ABSTRACT:

This dataset contains .txt (tab delimited) files of OTU (operational taxonomic units) classifications for eukaryotes at iUTAH GAMUT sites in three watersheds in May of 2015. Briefly, water column samples were filtered on 0.2 um membrane filters, which were dissolved and processed with MOBIO Power Soil DNA extraction kits. We Illumina Hi-Seq and then MG-RAST to generate OTU classifications.

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JVWCD service area tap water isotope ratio
Created: Aug. 11, 2017, 11:10 p.m.
Authors: Yusuf Jameel

ABSTRACT:

Introduction: Stable isotopes of water have extensively been used to understand hydrological cycle in natural environment, however their application in highly managed urban water systems have been limited. Recent research have shown that water isotopes reflect urban water management practices and have potential application in understanding urban water supply network dynamics, evaluating effect of climate variability on water resources, geolocation and water monitoring and regulation.

Jameel and colleagues ( WRR, 2016) attributed the strong and structured spatiotemporal variation in tap water isotope ratios of Salt Lake Valley (SLV) to complex distribution systems, varying water management practices and multiple sources used across the valley. Building on their result, we collaborated with the largest water supply company in SLV, Jordan Valley Water Conservancy District (JVWCD) and expanded our project which now includes predicting the source (or sources) contributing to a given supply area. The different sources supplying JVWCD (such as Provo River system, Wasatch Creeks and groundwater wells) have similar yet distinct isotope ratios, providing an excellent opportunity to test the robustness of water isotopes in monitoring distribution pattern of the sources in the supply system. For this project, we collected more than 100 samples/month (between April 2015-May 2016), from different water sources (creeks, streams and groundwater wells), water treatment plants (WTP), storage reservoirs and delivery locations along the supply lines across the water distribution area , measured their isotopic ratio and developed isotopic mixing models using Hierarchical Bayesian (HB) framework to understand the flow of water in an urban supply system and connect tap water at a specific location to its respective sources.

Data Collection Methods: Water samples collected from source, reservoirs, and different locations within the JVWCD service area.

Location of Data Collection: we collect approximately 100 samples per month. From May 2015 to April 2016, for each month, we sampled different sources supplying water to the JVWCD service area and at numerous locations on the JVWCD distribution line (subsequently referred to as supply sites). Source water samples were collected as effluent from the WTPs and from groundwater wells and supply sites samples were collected from monitoring taps positioned on the distribution line. Source and supply sites were sampled 1-3 times per month.

Data Analysis: For each site, samples were obtained by running the tap water for ~15 seconds before filling, capping and sealing (with parafilm) a clean 4 ml glass vial. Samples were analyzed for their isotopic composition within a few weeks of their collection at the Stable Isotope Ratios for Environmental Research (SIRFER), University of Utah, on Picarro L2130-i Cavity Ring Down Spectroscopy (CRDS) analyzer. All the sample values are reported using the δ notation, where δ=Rsample/Rstandard -1, R= 2H/1H and 18O/16O. Four injections of each sample were measured and corrected for memory effects, through-run drift, and calibrated to the VSMOW-VSLAP scale, using a suite of three laboratory reference waters (PZ: 16.9‰, 1.65‰; PT: -45.6‰, -7.23‰; UT: -123.1‰, -16.52‰; for δ2H and δ18O, respectively).

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SoilGas_Sensordata_Dec2016-July2017_Russell_BYU
Created: Aug. 17, 2017, 5:36 p.m.
Authors: Kerri Russell

ABSTRACT:

This data is a collection of CO2 and O2 data starting in December 2016 and goes through mid-July 2017. The remaining 2017 data will be added in December 2017. We are measuring soil CO2 concentration, oxygen, moisture, and temperature. Vaisala CO2 GMP220-series probes are placed at two depths (5 and 20 cm) to measure CO2 concentration and Acclima SDI-12 Interface sensors to measure soil moisture and temperature, as well as Apogee SO-110 soil oxygen sensors. Besides evaluating soil respiration sensitivity (i.e., CO2 evolved per unit change in moisture or temperature), we are evaluating the legacy effects of natural rainfall and snowfall on the structure of soil microbial communities using target metagenomics of 16s rDNA. This data is part of an ongoing project and in the future, will include soil analysis data and microbial analysis data. Quality control will be done on the data before analysis. Power at the sites can go out temporarily, creating gaps in sensor readings. Blank cells in the data represent times when the power to the site went out, or when a sensor died and had to be replaced. Logan River data begins in January 2017, rather than December 2016.

Column headers in the data refer to the site location and depth of the sensor. The first row indicates what watershed the sensor is located in, the second row indicates the site and sensor type and depth.
ST-Soapstone, CH-Charleston, KF-Knowlton Fork, GIRF- Green Infrastructure Research Facility, FB-Franklin Basin, GC-Golf Course. CO2 data is given in ppm and O2 data is %. Locations of the sensors are described below:

Franklin Basin is located near the headwaters of the Logan River in Cache County, Utah. The elevation is 2109.52 m and at N 4156’59.334” W -11134’52.8666”.
Logan River Golf Course is located in a mixed urban and agriculture environment in Cache Valley at an elevation of 1364.89 m and N 41 42’20.3148” W -11151’15.3648”.
Knowlton Fork sits at an elevation of 2178.1008 m, N 40 48’ 36.4386” W -11146’1.0194”.
GIRF is the Green infrastructure climate station located on the University of Utah campus at N 4045’38.88” W -11149’49.7058”.
Soapstone Basin is the closest site to Trial Lake, the origin of the Provo River. The location is N 40° 34' 26.1408" W -111° 2' 36.5994".
Charleston location is at N 40° 29' 4.9812" W -111° 27' 45.1794".

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ABSTRACT:

We collected water samples from the Logan River, Red Butte Creek, and Provo River in Utah in June 2016 to assess the amount of human, ruminant, and dog fecal contamination in these watersheds. Samples were collected in sterile 1L bottles at sites where the iUTAH NSF EPSCoR program has installed aquatic sensor stations along a mountain-to-urban gradient in each watershed. After collection, we filtered samples through 0.2um PES filters, extracted the sample DNA using a MoBio PowerSoil DNA extraction kit, and analyzed the samples via qPCR.

By identifying the major sources of fecal pollution along urbanization gradients in Utah, we hope to inform efforts to manage fecal pollution in Utah's watersheds. In addition to creating generating raw qPCR values that show the relative contributions of each type (human, ruminant, and dog) to fecal pollution in the rivers sampled, we selected primer sets that we hope will be adopted as standard in future fecal pollution assessment efforts. We also created a standard operating procedure for the creation of qPCR standards, which will allow future researchers to determine total numbers of fecal indicator bacteria present in water samples.

Funded by the iUTAH NSF EPSCoR program (National Science Foundation, iUTAH-innovative Urban Transitions and Aridregion Hydro-sustainability, NSF Award Number 1208732) and conducted at Brigham Young University.

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ABSTRACT:

These data are from this publication: Oerter, E. J., Perelet, A., Pardyjak, E., & Bowen, G. (2017). Membrane inlet laser spectroscopy to measure H and O stable isotope compositions of soil and sediment pore water with high sample throughput. Rapid Communications in Mass Spectrometry, 31(1), 75-84.

Abstract:
RATIONALE: The fast and accurate measurement of H and O stable isotope compositions (δ2H and δ18O values) of soil and sediment pore water remains an impediment to scaling-up the application of these isotopes in soil and vadose hydrology. Here we describe a method and its calibration to measuring soil and sediment pore water δ2H and δ18O values using a water vapor-permeable probe coupled to an isotope ratio infrared spectroscopy analyzer.
METHODS: We compare the water vapor probe method with a vapor direct equilibration method, and vacuum extraction with liquid water analysis. At a series of four study sites in a managed desert agroecosystem in the eastern Great Basin of North America, we use the water vapor probe to measure soil depth profiles of δ2H and δ18O values.
RESULTS: We demonstrate the accuracy of the method to be equivalent to direct headspace equilibration and vacuum extraction techniques, with increased ease of use in its application, and with analysis throughput rates greater than 7 h1. The soil depth H and O stable isotope profiles show that soil properties such as contrasting soil texture and pedogenic soil horizons control the shape of the isotope profiles, which are reflective of local evaporation conditions within the soils.
CONCLUSIONS: We conclude that this water vapor probe method has potential to yield large numbers of H and O stable isotope analyses of soil and sediment waters within shorter timeframes and with increased ease than with currently existing methods.

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ABSTRACT:

These data are from the following publication:
Oerter, E. J., & Bowen, G. (2017). In situ monitoring of H and O stable isotopes in soil water reveals ecohydrologic dynamics in managed soil systems. Ecohydrology, 10(4).

Abstract:

The water cycle in urban and hydrologically-managed settings is subject to perturbations that are dynamic on small spatial and temporal scales, the effects of which may be especially profound in soils. We deploy a membrane inlet-based laser spectroscopy system in conjunction with soil moisture sensors to monitor soil water dynamics and H and O stable isotope ratios (δ H and δ18O values) in a seasonally irrigated urban landscaped garden soil over the course of 9 months between the cessation of irrigation in the autumn and the onset of irrigation through the summer. We find that soil water δ2H and δ18O values predominately reflect seasonal precipitation and irrigation inputs. A comparison of total soil water by cryogenic extraction and mobile soil water measured by in situ water vapor probes, reveals that initial infiltration events after long periods of soil drying (the autumn season in this case) emplace water into the soil matrix that is not easily replaced by, or mixed with, successive pulses of infiltrating soil water. Tree stem xylem water H and O stable isotope composition did not match that of available water sources. These findings suggest that partitioning of soil water into mobile and immobile “pools” and resulting ecohydrologic separation may occur in engineered and hydrologically-managed soils and not be limited to natural settings. The laser spectroscopy method detailed here has potential to yield insights in a variety of Critical Zone and vadose zone studies, potential that is heightened by the simplicity and portability of the system.

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Model Instance Resource Model Instance Resource
SWMM Model for the Red Butte catchment
Created: Sept. 8, 2017, 3:23 p.m.
Authors: Hessam Tavakoldavani

ABSTRACT:

EPA Storm Water Modeling Management (SWMM) for a subcatchment in Salt Lake Valley, Red Butte Creek. It considers both the mountain and the urbanized areas.
This model still needs to be calibrated based on different intensities and periods of rainfall.
The SCS curve number, which is a simple and efficient method for determining the amount of runoff from a rainfall event in a particular area, was used for infiltration analyses.
the boundaries of subcatchment were derived based on a GIS-Hydrology work.
Also, soil information was obtained from National Resource Conservation Service (NRCS) for the area of study

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Composite Resource Composite Resource

ABSTRACT:

This dataset includes data collected using a mobile sensing platform during baseflow and stormflow conditions in the Northwest Field Canal, located in Logan, UT. Data were collected by floating a payload of sensors in a longitudinal transect down the length of the canal and recording latitude, longitude, and several water quality variables, including fluorescent dissolved organic matter (FDOM), observations from custom fluorometers designed for calculating the fluorescence index (FI), dissolved oxygen, temperature, pH, specific conductance, and turbidity. The methods used in collection and processing of these data are described in detail in the methods document included within this resource.

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Composite Resource Composite Resource

ABSTRACT:

This dataset includes grab sample data collected during baseflow and stormflow conditions in the Northwest Field Canal (NWFC), located in Logan, UT. Grab sample data includes results from samples that were analyzed using dissolved organic carbon concentration analysis and excitation emission matrix spectroscopy to determine organic matter concentration and characteristics. Methods used in sample collection and analysis are described in detail within the methods document included as part of this resource.

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Composite Resource Composite Resource

ABSTRACT:

This dataset includes time series data collected during baseflow and stormflow conditions in the Northwest Field Canal, located in Logan, UT. Time series data includes fluorescent dissolved organic matter (FDOM), observations from custom fluorometers used to calculate the fluorescence index in situ, turbidity, and rainfall. Methods used for deploying sensors, collecting data, and processing for quality control are described in the methods document contained within this resource.

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Composite Resource Composite Resource
HgT and MeHg in GSL water, sediment, and biota
Created: Oct. 31, 2017, 5:08 p.m.
Authors: Frank Black

ABSTRACT:

Concentrations of HgT and MeHg in Great Salt Lake water, superficial sediment, brine flies, and ducks collected before and after closure of the culverts in the railroad causeway in late 2013. Samples collected in 2007-2012, and October 2015 to December, 2016.

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Economics of water conservation in irrigated landscapes
Created: Nov. 4, 2017, 1:58 a.m.
Authors: Charles Sims · Augustina Odame

ABSTRACT:

The purpose of this research effort is to improve understanding of two key drivers of water use in irrigated landscapes: 1) irrigation technology adoption and 2) irrigation district hierarchies. The methodology used to address the first driver focuses on integrating economic models of optimal investment with hydrologic models of annual streamflow. Specifically, this approach quantifies how streamflow trends and streamflow variability influence the adoption of more efficient irrigation technologies in three watershed in Cache Valley. This improved understanding of the influence of streamflow trends and variability can be used to predict how one specific form of climate adaptation (uptake of water-saving irrigation technologies) will evolve in response to climate trends and variability. The methodology used to address the second driver is an agent-based model of the behaviors of canal district managers and owners. This methodology allows us to specify both economic and non-economic behaviors employed by three agent types (canal manager, residential water users, agricultural water users) in a specific canal in Cache Valley. The model accounts for realistic hydrologic aspects of the canal, the hierarchical relationship between canal managers and water users, as well as the variety of water use objectives held by owners of the canal company. This research provides an initial glimpse of the relative importance of institutions, social norms, and economics in water use decisions. These research efforts help solidify the links between RFA2 and RFA3.

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Intermountain West Counties database
Created: Dec. 14, 2017, 10:44 p.m.
Authors: Carlos Licon · Ole Sleipness

ABSTRACT:

The data set contains indicators for the 414 counties of the 11 states included in the Intermountain West region in U.S. The Intermountain West includes 246 counties. This dataset will be used to identify and evaluate sustainable development possibilities for each individual county through a comparative performance analysis. The dataset contains 267 indicators measuring three aspects of each county: individual sociodemographic composition, economic characteristics, and the environmental and biophysical aspects of each county. All the information has been obtained from public access sources as indicated in the labels file.
The database file includes the table with the quantitative values and the labels file describes each indicator and its source of information. The dataset has geo ID codes to relate this information with other GIS information.

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