U.S. Department of EnergyOffice of Scientific and Technical Information
Spatial Study 2022: Surface Water Samples, Cotton Strip Degradation, and Hydrologic Sensor Data across the Yakima River Basin, Washington, USA (v3)
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 data and photos generated from sample collection during the same one-week period at 48 sites within multiple rivers throughout the Yakima River Basin in Washington, USA. The contents include surface water geochemistry data; river substrate grain size photos; stream depth data; manual chamber open channel respiration data; and field metadata (including qualitative information on instream and river corridor characteristics). Grain size photos can be used to improve estimates of channel substrate D50 data. The dataset also includes tensile strength and photos from cotton strip field degradation experiments; five-week sensor time series temperature, dissolved oxygen, pressure, pH, specific conductance, chlorophyll A, and turbidity data; plots of the sensor data; and R scripts used to generate the plots. Samples collected during this study were labeled as “Second Spatial Study” or “SSS.” A subset of data from the SSS samples were published in the contiguous United States (CONUS)-Scale Model-Sample (CM) study data package available at https://data.ess-dive.lbl.gov/view/doi:10.15485/1923689 that presents data from across the CONUS. SSS data published in the CM data package were not included in this data package. Theymore »
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- Pacific Northwest National Laboratory
- Gram Northwest
- Publication Date:
- DOE Contract Number:
- AC02-05CH11231
- Research Org.:
- River Corridor and Watershed Biogeochemistry SFA
- Sponsoring Org.:
- ESS-DIVE; U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Absolute pressure; Barometric pressure; Biogeochemistry; Canopy cover; Chlorophyll A; DO; Decay rate; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > ATMOSPHERIC PRESSURE MEASUREMENTS; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE; EARTH SCIENCE > BIOSPHERE > VEGETATION > MACROPHYTES; EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER CHEMISTRY; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > WATER DEPTH; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > WATER PRESSURE; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > GASES > DISSOLVED OXYGEN; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > SOLIDS > SUSPENDED SOLIDS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > SOLIDS > TOTAL DISSOLVED SOLIDS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER CHARACTERISTICS > CHLOROPHYLL CONCENTRATIONS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER CHARACTERISTICS > CONDUCTIVITY; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER CHARACTERISTICS > TURBIDITY; 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 Location Metadata Reporting Format; ESS-DIVE Sample ID and Metadata Reporting Format; ESS-DIVE Water-Soil-Sediment Chemistry Reporting Format; Field experiment; Freshwater; Hydrobiogeochemical function; Macrophyte cover; Organic matter; Organic matter degradation; River; River corridor; Specific conductance; Stream; Stream metabolism; TSS; Tensile strength; Total suspended solids; Watershed
- OSTI Identifier:
- 1969566
- DOI:
- https://doi.org/10.15485/1969566
Citation Formats
Delgado, Dillman, Barnes, Morgan, Boehnke, Brandon T., Chen, Xingyuan, Chen, Yunxiang, Cornwell, Kali, Forbes, Brieanne, Fulton, Stephanie G., Garayburu-Caruso, Vanessa A., Goldman, Amy E., Gonzalez, Brianna I., Grieger, Samantha, Hammond, Glenn E., Jiang, Peishi, Kaufman, Matthew H., Laan, Maggi, Li, Bing, Li, Zhi, Lin, Xinming, McKever, Sophia A., Mudunuru, Maruti K., Muller, Katherine A., Myers-Pigg, Allison, Otenburg, Opal, Pelly, Aaron, Peta, Kelsey, Powers-McCormack, Beck, Regier, Peter, Renteria, Lupita, Roebuck, Alan, Scheibe, Timothy D., Son, Kyongho, Torgeson, Joshua M., Zheng, Jianqiu, and Stegen, James C. Spatial Study 2022: Surface Water Samples, Cotton Strip Degradation, and Hydrologic Sensor Data across the Yakima River Basin, Washington, USA (v3). United States: N. p., 2023.
Web. doi:10.15485/1969566.
Delgado, Dillman, Barnes, Morgan, Boehnke, Brandon T., Chen, Xingyuan, Chen, Yunxiang, Cornwell, Kali, Forbes, Brieanne, Fulton, Stephanie G., Garayburu-Caruso, Vanessa A., Goldman, Amy E., Gonzalez, Brianna I., Grieger, Samantha, Hammond, Glenn E., Jiang, Peishi, Kaufman, Matthew H., Laan, Maggi, Li, Bing, Li, Zhi, Lin, Xinming, McKever, Sophia A., Mudunuru, Maruti K., Muller, Katherine A., Myers-Pigg, Allison, Otenburg, Opal, Pelly, Aaron, Peta, Kelsey, Powers-McCormack, Beck, Regier, Peter, Renteria, Lupita, Roebuck, Alan, Scheibe, Timothy D., Son, Kyongho, Torgeson, Joshua M., Zheng, Jianqiu, & Stegen, James C. Spatial Study 2022: Surface Water Samples, Cotton Strip Degradation, and Hydrologic Sensor Data across the Yakima River Basin, Washington, USA (v3). United States. doi:https://doi.org/10.15485/1969566
Delgado, Dillman, Barnes, Morgan, Boehnke, Brandon T., Chen, Xingyuan, Chen, Yunxiang, Cornwell, Kali, Forbes, Brieanne, Fulton, Stephanie G., Garayburu-Caruso, Vanessa A., Goldman, Amy E., Gonzalez, Brianna I., Grieger, Samantha, Hammond, Glenn E., Jiang, Peishi, Kaufman, Matthew H., Laan, Maggi, Li, Bing, Li, Zhi, Lin, Xinming, McKever, Sophia A., Mudunuru, Maruti K., Muller, Katherine A., Myers-Pigg, Allison, Otenburg, Opal, Pelly, Aaron, Peta, Kelsey, Powers-McCormack, Beck, Regier, Peter, Renteria, Lupita, Roebuck, Alan, Scheibe, Timothy D., Son, Kyongho, Torgeson, Joshua M., Zheng, Jianqiu, and Stegen, James C. 2023.
"Spatial Study 2022: Surface Water Samples, Cotton Strip Degradation, and Hydrologic Sensor Data across the Yakima River Basin, Washington, USA (v3)". United States. doi:https://doi.org/10.15485/1969566. https://www.osti.gov/servlets/purl/1969566. Pub date:Mon Apr 10 00:00:00 EDT 2023
@article{osti_1969566,
title = {Spatial Study 2022: Surface Water Samples, Cotton Strip Degradation, and Hydrologic Sensor Data across the Yakima River Basin, Washington, USA (v3)},
author = {Delgado, Dillman and Barnes, Morgan and Boehnke, Brandon T. and Chen, Xingyuan and Chen, Yunxiang and Cornwell, Kali and Forbes, Brieanne and Fulton, Stephanie G. and Garayburu-Caruso, Vanessa A. and Goldman, Amy E. and Gonzalez, Brianna I. and Grieger, Samantha and Hammond, Glenn E. and Jiang, Peishi and Kaufman, Matthew H. and Laan, Maggi and Li, Bing and Li, Zhi and Lin, Xinming and McKever, Sophia A. and Mudunuru, Maruti K. and Muller, Katherine A. and Myers-Pigg, Allison and Otenburg, Opal and Pelly, Aaron and Peta, Kelsey and Powers-McCormack, Beck and Regier, Peter and Renteria, Lupita and Roebuck, Alan and Scheibe, Timothy D. and Son, Kyongho and Torgeson, Joshua M. and Zheng, Jianqiu 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 data and photos generated from sample collection during the same one-week period at 48 sites within multiple rivers throughout the Yakima River Basin in Washington, USA. The contents include surface water geochemistry data; river substrate grain size photos; stream depth data; manual chamber open channel respiration data; and field metadata (including qualitative information on instream and river corridor characteristics). Grain size photos can be used to improve estimates of channel substrate D50 data. The dataset also includes tensile strength and photos from cotton strip field degradation experiments; five-week sensor time series temperature, dissolved oxygen, pressure, pH, specific conductance, chlorophyll A, and turbidity data; plots of the sensor data; and R scripts used to generate the plots. Samples collected during this study were labeled as “Second Spatial Study” or “SSS.” A subset of data from the SSS samples were published in the contiguous United States (CONUS)-Scale Model-Sample (CM) study data package available at https://data.ess-dive.lbl.gov/view/doi:10.15485/1923689 that presents data from across the CONUS. SSS data published in the CM data package were not included in this data package. They include dissolved organic carbon (DOC, measured as non-purgeable organic carbon, NPOC), total nitrogen (TN), grain size, aerobic sediment respiration, dissolved oxygen (DO), and temperature. Parent IDs and Site IDs are consistent between the SSS and CM data packages, and they can be mapped directly so data across packages can be used together. Additionally, sensor data from a similar 2021 spatial study can be found at https://data.ess-dive.lbl.gov/view/doi:10.15485/1892052 and 2021 sample data can be found at https://data.ess-dive.lbl.gov/view/doi:10.15485/1898914. The 2021 spatial study had some sites in common with this 2022 spatial study. This dataset is comprised of three photo folders and one main data folder with six subfolders. The photo folders contain photographs and videos of cotton strip retrieval and sediment quadrats. The main data folder consists of (1) file-level metadata; (2) data dictionary; (3) field metadata; (4) total suspended solids (TSS) data and cotton strip tensile strength data and averages; (5) field protocol; (6) readme; (7) methods codes; (8) international generic sample number (IGSN) mapping file; (9) sensor installation methods summary; (10) stream depth and averages; and (11) Ultrameter data and averages. The Sonar subfolder consists of Sonar time-series depth data and a processing script. The BarotrollAtm, DepthHOBO, MantaRiver, miniDOT, and miniDOTManualChamber subfolders contain time-series data, plots, and summary files. All files are .csv, .pdf, .txt, .R, .Rmd, .jpg, .jpeg, .AVI, .mp4, or .mov. The data package was originally published in April 2023. It was updated in August 2023 (v2; modified files) and September 2024 (v3; modified files). See the change history section in the readme for 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 = {10.15485/1969566},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Apr 10 00:00:00 EDT 2023},
month = {Mon Apr 10 00:00:00 EDT 2023}
}
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