Spatial Study 2021: Sample-Based Surface Water Chemistry and Organic Matter Characterization across Watersheds in the Yakima River Basin, Washington, USA (v2)
Abstract
This dataset supports a broader study examining the drivers of spatial variability in sediment respiration rates in the Yakima River Basin. We acknowledge the Yakama Nation as owners and caretakers of the lands where we collected the data used in this project. 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. The dataset provides geochemistry and organic matter characterization data generated from samples collected during the same two-week period at 47 sites within multiple rivers throughout the Yakima River Basin in Washington, USA. Related sensor data can be found at https://data.ess-dive.lbl.gov/datasets/doi:10.15485/1892052.This dataset is comprised of one main data folder containing (1) file-level metadata; (2) data dictionary; (3) field metadata; (4) dissolved inorganic carbon (DIC), dissolved organic carbon (DOC; reported as non-purgeable organic carbon; NPOC), total nitrogen (TN), total suspended solids (TSS), and ions; (5) averaged values from water chemistry data; (6) surface water sampling protocol; (7) sensor protocol (8) readme; (9) methods codes; (10) international geo-sample number (IGSN) mapping file; and (11) folder of high resolution characterization of organic matter via 12 Teslamore »
- Authors:
-
more »
- Pacific Northwest National Laboratory
- Colorado State University
- Publication Date:
- Research Org.:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States)
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES
- Keywords:
- River corridor; Freshwater; River; Stream; Watershed; Biogeochemistry; Hydrobiogeochemical function ; Microbiology; Organic matter; Stream metabolism; Metabolite; Metabolomics; Mass spectrometry; ESS-DIVE Location Metadata Reporting Format; ESS-DIVE Water-Soil-Sediment Chemistry Reporting Format; ESS-DIVE Sample ID and Metadata Reporting Format; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER; DIC; Dissolved Inorganic Carbon; DOC; Dissolved Organic Carbon; NPOC; Non-purgeable organic carbon; FTICR-MS; TN; Total nitrogen; TSS; Total Suspended Solids; Ammonium; Bromide; Calcium; Chloride; Fluoride; Lithium; Magnesium; Nitrate; Nitrite; Phosphate; Potassium; Sodium; Sulfate; Canopy cover; Macrophyte cover; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > NUTRIENTS > NITROGEN COMPOUNDS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > NUTRIENTS > NITROGEN; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER CHARACTERISTICS > NITROGEN COMPOUNDS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > SOLIDS > SUSPENDED SOLIDS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER CHARACTERISTICS > WATER ION CONCENTRATIONS; EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER; EARTH SCIENCE > BIOSPHERE > VEGETATION > MACROPHYTES
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- OSTI Identifier:
- 1898914
- DOI:
- https://doi.org/10.15485/1898914
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Citation Formats
Grieger, Samantha, Barnes, Morgan, Borton, Mikayla A., Chen, Xingyuan, Chu, Rosalie, Farris, Yuliya, Forbes, Brieanne, Fulton, Stephanie G., Garayburu-Caruso, Vanessa A., Goldman, Amy E., Gonzalez, Brianna I., Kaufman, Matthew H., McKever, Sophia A., Myers-Pigg, Allison, Otenburg, Opal, Pelly, Aaron, Renteria, Lupita, Scheibe, Timothy D., Son, Kyongho, Torgeson, Joshua M., Toyoda, Jason G., and Stegen, James C. Spatial Study 2021: Sample-Based Surface Water Chemistry and Organic Matter Characterization across Watersheds in the Yakima River Basin, Washington, USA (v2). United States: N. p., 2022.
Web. doi:10.15485/1898914.
Grieger, Samantha, Barnes, Morgan, Borton, Mikayla A., Chen, Xingyuan, Chu, Rosalie, Farris, Yuliya, Forbes, Brieanne, Fulton, Stephanie G., Garayburu-Caruso, Vanessa A., Goldman, Amy E., Gonzalez, Brianna I., Kaufman, Matthew H., McKever, Sophia A., Myers-Pigg, Allison, Otenburg, Opal, Pelly, Aaron, Renteria, Lupita, Scheibe, Timothy D., Son, Kyongho, Torgeson, Joshua M., Toyoda, Jason G., & Stegen, James C. Spatial Study 2021: Sample-Based Surface Water Chemistry and Organic Matter Characterization across Watersheds in the Yakima River Basin, Washington, USA (v2). United States. doi:https://doi.org/10.15485/1898914
Grieger, Samantha, Barnes, Morgan, Borton, Mikayla A., Chen, Xingyuan, Chu, Rosalie, Farris, Yuliya, Forbes, Brieanne, Fulton, Stephanie G., Garayburu-Caruso, Vanessa A., Goldman, Amy E., Gonzalez, Brianna I., Kaufman, Matthew H., McKever, Sophia A., Myers-Pigg, Allison, Otenburg, Opal, Pelly, Aaron, Renteria, Lupita, Scheibe, Timothy D., Son, Kyongho, Torgeson, Joshua M., Toyoda, Jason G., and Stegen, James C. 2022.
"Spatial Study 2021: Sample-Based Surface Water Chemistry and Organic Matter Characterization across Watersheds in the Yakima River Basin, Washington, USA (v2)". United States. doi:https://doi.org/10.15485/1898914. https://www.osti.gov/servlets/purl/1898914. Pub date:Tue Nov 08 00:00:00 EST 2022
@article{osti_1898914,
title = {Spatial Study 2021: Sample-Based Surface Water Chemistry and Organic Matter Characterization across Watersheds in the Yakima River Basin, Washington, USA (v2)},
author = {Grieger, Samantha and Barnes, Morgan and Borton, Mikayla A. and Chen, Xingyuan and Chu, Rosalie and Farris, Yuliya and Forbes, Brieanne and Fulton, Stephanie G. and Garayburu-Caruso, Vanessa A. and Goldman, Amy E. and Gonzalez, Brianna I. and Kaufman, Matthew H. and McKever, Sophia A. and Myers-Pigg, Allison and Otenburg, Opal and Pelly, Aaron and Renteria, Lupita and Scheibe, Timothy D. and Son, Kyongho and Torgeson, Joshua M. and Toyoda, Jason G. 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. We acknowledge the Yakama Nation as owners and caretakers of the lands where we collected the data used in this project. 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. The dataset provides geochemistry and organic matter characterization data generated from samples collected during the same two-week period at 47 sites within multiple rivers throughout the Yakima River Basin in Washington, USA. Related sensor data can be found at https://data.ess-dive.lbl.gov/datasets/doi:10.15485/1892052.This dataset is comprised of one main data folder containing (1) file-level metadata; (2) data dictionary; (3) field metadata; (4) dissolved inorganic carbon (DIC), dissolved organic carbon (DOC; reported as non-purgeable organic carbon; NPOC), total nitrogen (TN), total suspended solids (TSS), and ions; (5) averaged values from water chemistry data; (6) surface water sampling protocol; (7) sensor protocol (8) readme; (9) methods codes; (10) international geo-sample number (IGSN) mapping file; and (11) folder of high resolution characterization of organic matter via 12 Tesla Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) through the Environmental Molecular Sciences Laboratory (EMSL; https://www.pnnl.gov/environmental-molecular-sciences-laboratory). This folder contains two subfolders, one containing the .xml data files and the other containing instructions for using Formularity (https://omics.pnl.gov/software/formularity) and an R script to process the data based on the user's specific needs. All files are .csv, .pdf, .R, .ref, or .xml.This data package was originally published November 2022. It was updated May 2023 with revised DIC, NPOC, and TN data. See the change history section in the data package readme for more details.},
doi = {10.15485/1898914},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2022},
month = {11}
}