Spatial Study 2021: Sensor-Based Time Series of Surface Water Temperature, Specific Conductance, Total Dissolved Solids, pH, and Dissolved Oxygen from across Multiple Watersheds in the Yakima River Basin, Washington, USA (v3)

Fulton, Stephanie G.; Barnes, Morgan; Borton, Mikayla A.; Chen, Xingyuan; Farris, Yuliya; Forbes, Brieanne; Garayburu-Caruso, Vanessa A.; Goldman, Amy E.; Grieger, Samantha; Kaufman, Matthew H.; Lin, Xinming; McKever, Sophia A.; Myers-Pigg, Allison; Otenburg, Opal; Pelly, Aaron; Ren, Huiying; Renteria, Lupita; Scheibe, Timothy D.; Son, Kyongho; Torgeson, Joshua M.; Stegen, James C.

doi:10.15485/1892052

Title: Spatial Study 2021: Sensor-Based Time Series of Surface Water Temperature, Specific Conductance, Total Dissolved Solids, pH, and Dissolved Oxygen from across Multiple Watersheds in the Yakima River Basin, Washington, USA (v3)

Dataset
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Abstract

This dataset supports a broader study examining the drivers of spatial variability in sediment respiration rates in the Yakima River Basin. The dataset provides two-hour time series hydrological and water chemistry sensor data, manual chamber open channel respiration data, handheld sensor water chemistry data, river substrate grain size photos, general environmental context photos, and field metadata (including qualitative information on instream and river corridor characteristics) collected during the same two-week period at 47 sites within multiple rivers throughout the Yakima River Basin in Washington, USA. Grain size photos can be used to improve estimates of channel substrate D50 data. Related sample-based water chemistry data are published separately at https://data.ess-dive.lbl.gov/datasets/doi:10.15485/1898914.This dataset is comprised of four main folders, one containing three sensor-specific subfolders and the others containing photographs. The SFA_SpatialStudy_2021_SensorData main data folder includes file-level metadata (FLMD), data dictionary (dd), installation methods, field metadata, Ultrameter water chemistry data, field data collection protocols, international generic sample number (IGSN) mapping file, and a readme file. The “Sensor_Manual_Specifications” subfolder contains pdf files from the manufacturer of each sensor with details on the sensor specifications. Each sensor subfolder (BarotrollAtm, MantaRiver, and MinidotManualChamber) contains a sensor data subfolder for timeseries data and a subfolder for plots andmore »« less

Authors:

;

; Farris, Yuliya;

;

; Grieger, Samantha;

;

; McKever, Sophia A.;

; Otenburg, Opal;

;

Pacific Northwest National Laboratory; Pacific Northwest National Laboratory
Pacific Northwest National Laboratory
Colorado State University

Publication Date:: Tue Sep 20 00:00:00 EDT 2022

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES; Barometric pressure; Biogeochemistry; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > ATMOSPHERIC PRESSURE MEASUREMENTS; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > WATER DEPTH; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > GASES > DISSOLVED OXYGEN; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > SOLIDS > TOTAL DISSOLVED SOLIDS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER CHARACTERISTICS > CONDUCTIVITY; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER CHARACTERISTICS > WATER TEMPERATURE; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER CHARACTERISTICS > pH; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; ESS-DIVE Hydrologic Monitoring Reporting Format; ESS-DIVE Sample ID and Metadata Reporting Format; Freshwater; Hydrobiogeochemical function; Microbiology; Organic matter; Respiration; River; River corridor; Spatial Study; Specific conductance; Stream; Stream metabolism; Watershed

OSTI Identifier:: 1892052

DOI:: https://doi.org/10.15485/1892052

Citation Formats


                    Fulton, Stephanie G., Barnes, Morgan, Borton, Mikayla A., Chen, Xingyuan, Farris, Yuliya, Forbes, Brieanne, Garayburu-Caruso, Vanessa A., Goldman, Amy E., Grieger, Samantha, Kaufman, Matthew H., Lin, Xinming, McKever, Sophia A., Myers-Pigg, Allison, Otenburg, Opal, Pelly, Aaron, Ren, Huiying, Renteria, Lupita, Scheibe, Timothy D., Son, Kyongho, Torgeson, Joshua M., and Stegen, James C. Spatial Study 2021: Sensor-Based Time Series of Surface Water Temperature, Specific Conductance, Total Dissolved Solids, pH, and Dissolved Oxygen from across Multiple Watersheds in the Yakima River Basin, Washington, USA (v3).  United States: N. p., 2022. 
        Web.  doi:10.15485/1892052.

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                    Fulton, Stephanie G., Barnes, Morgan, Borton, Mikayla A., Chen, Xingyuan, Farris, Yuliya, Forbes, Brieanne, Garayburu-Caruso, Vanessa A., Goldman, Amy E., Grieger, Samantha, Kaufman, Matthew H., Lin, Xinming, McKever, Sophia A., Myers-Pigg, Allison, Otenburg, Opal, Pelly, Aaron, Ren, Huiying, Renteria, Lupita, Scheibe, Timothy D., Son, Kyongho, Torgeson, Joshua M., & Stegen, James C. Spatial Study 2021: Sensor-Based Time Series of Surface Water Temperature, Specific Conductance, Total Dissolved Solids, pH, and Dissolved Oxygen from across Multiple Watersheds in the Yakima River Basin, Washington, USA (v3).  United States.  doi:https://doi.org/10.15485/1892052

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                    Fulton, Stephanie G., Barnes, Morgan, Borton, Mikayla A., Chen, Xingyuan, Farris, Yuliya, Forbes, Brieanne, Garayburu-Caruso, Vanessa A., Goldman, Amy E., Grieger, Samantha, Kaufman, Matthew H., Lin, Xinming, McKever, Sophia A., Myers-Pigg, Allison, Otenburg, Opal, Pelly, Aaron, Ren, Huiying, Renteria, Lupita, Scheibe, Timothy D., Son, Kyongho, Torgeson, Joshua M., and Stegen, James C. 2022.  
"Spatial Study 2021: Sensor-Based Time Series of Surface Water Temperature, Specific Conductance, Total Dissolved Solids, pH, and Dissolved Oxygen from across Multiple Watersheds in the Yakima River Basin, Washington, USA (v3)".  United States.  doi:https://doi.org/10.15485/1892052.  https://www.osti.gov/servlets/purl/1892052. Pub date:Tue Sep 20 00:00:00 EDT 2022

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@article{osti_1892052,

  title        = {Spatial Study 2021: Sensor-Based Time Series of Surface Water Temperature, Specific Conductance, Total Dissolved Solids, pH, and Dissolved Oxygen from across Multiple Watersheds in the Yakima River Basin, Washington, USA (v3)},

  author       = {Fulton, Stephanie G. and Barnes, Morgan and Borton, Mikayla A. and Chen, Xingyuan and Farris, Yuliya and Forbes, Brieanne and Garayburu-Caruso, Vanessa A. and Goldman, Amy E. and Grieger, Samantha and Kaufman, Matthew H. and Lin, Xinming and McKever, Sophia A. and Myers-Pigg, Allison and Otenburg, Opal and Pelly, Aaron and Ren, Huiying and Renteria, Lupita and Scheibe, Timothy D. and Son, Kyongho and Torgeson, Joshua M. and Stegen, James C.},

  abstractNote = {This dataset supports a broader study examining the drivers of spatial variability in sediment respiration rates in the Yakima River Basin. The dataset provides two-hour time series hydrological and water chemistry sensor data, manual chamber open channel respiration data, handheld sensor water chemistry data, river substrate grain size photos, general environmental context photos, and field metadata (including qualitative information on instream and river corridor characteristics) collected during the same two-week period at 47 sites within multiple rivers throughout the Yakima River Basin in Washington, USA. Grain size photos can be used to improve estimates of channel substrate D50 data. Related sample-based water chemistry data are published separately at https://data.ess-dive.lbl.gov/datasets/doi:10.15485/1898914.This dataset is comprised of four main folders, one containing three sensor-specific subfolders and the others containing photographs. The SFA_SpatialStudy_2021_SensorData main data folder includes file-level metadata (FLMD), data dictionary (dd), installation methods, field metadata, Ultrameter water chemistry data, field data collection protocols, international generic sample number (IGSN) mapping file, and a readme file. The “Sensor_Manual_Specifications” subfolder contains pdf files from the manufacturer of each sensor with details on the sensor specifications. Each sensor subfolder (BarotrollAtm, MantaRiver, and MinidotManualChamber) contains a sensor data subfolder for timeseries data and a subfolder for plots and summary statistics. The BarotrollAtm Data subfolder contains In Situ Rugged BaroTROLL pressure and temperature data. The MantaRiver Data subfolder contains Eureka Manta+ 35B multisonde temperature, specific conductance, and pH data. The MinidotManualChamber Data subfolder contains PME MiniDOT Logger dissolved oxygen (mg/L and percent saturation) and temperature data. The folder SFA_SpatialStudy_2021_EnvironmentalContextPhotos contains environmental context photographs and videos. The folders SFA_SpatialStudy_2021_SedimentQuadratPhotos_Part1 and SFA_SpatialStudy_2021_SedimentQuadratPhotos_Part2 contain sediment quadrat photographs. All files are .csv, .pdf, .R, .jpg, .jpeg, .mp4, or .mov. This data package was originally published September 2022. It was updated January 2023 (modified files) and June 2024 (new and modified files). See the change history in data package readme for more details.We acknowledge the Yakama Nation as owners and caretakers of the lands where we collected these data. We thank the Confederated Tribes and Bands of the Yakama Nation Tribal Council and Yakama Nation Fisheries for working with us to facilitate sample collection and optimization of data usage according to their values and worldview.},

  doi          = {10.15485/1892052},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Sep 20 00:00:00 EDT 2022},

  month        = {Tue Sep 20 00:00:00 EDT 2022}

}

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DOI: https://doi.org/10.15485/1892052

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