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Title: Surface Water Disinfection Byproducts and Organic Matter Characterization Data Associated with: “Disinfection byproducts formed during drinking water treatment reveal an export control point for dissolved organic matter in a subalpine headwater stream”

Abstract

This dataset is associated with the publication “Disinfection byproducts formed during drinking water treatment reveal an export control point for dissolved organic matter in a subalpine headwater stream” published in Water Research X (Leonard et al. 2022; https://doi.org/10.1016/j.wroa.2022.100144). The associated study analyzed temporal trends from the Town of Crested Butte water treatment facility and synoptic sampling at Coal Creek in Crested Butte, Colorado, US. This work demonstrates how drinking water quality archives combined with synoptic sampling and targeted analyses can be used to identify and understand export control points for dissolved organic matter.This dataset is comprised of one main data folder containing (1) file-level metadata; (2) data dictionary; (3) metadata and international geo-sample number (IGSN) mapping file; (4) dissolved organic carbon (DOC), ultraviolet absorbance at 254 nanometers (UV254), total nitrogen (TN), and specific ultraviolet absorbance (SUVA) data; (5) disinfection bioproduct formation potential (DBP-FP) data; (6) readme; (7) methods codes; (8) water collection protocol; (9) 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); and (10) folder of excitation emissions matrix (EEM) spectra. The FTICR folder contains a file of DOC (measured asmore » non-purgeable organic carbon; NPOC) used for FTICR sample preparation. The FTICR folder also contains three subfolders: one subfolder containing the raw .xml data files, one containing the processed data, 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, .dat, .R, .ref, or .xml« less

Authors:
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  1. Colorado School of Mines; Colorado School of Mines
  2. Rocky Mountain Biological Laboratory
  3. Pacific Northwest National Laboratory
  4. Stanford University
  5. Lawrence Berkeley National Laboratory
  6. Colorado School of Mines
Publication Date:
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; Biogeochemistry; DBP-FS; DOC; Disinfection byproduct formation potential; Disinfection byproducts; Dissolved organic carbon; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > NUTRIENTS > NITROGEN; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > NUTRIENTS > NITROGEN COMPOUNDS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER CHARACTERISTICS > NITROGEN COMPOUNDS; EEMs; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; ESS-DIVE Location Metadata Reporting Format; ESS-DIVE Sample ID and Metadata Reporting Format; ESS-DIVE Water-Soil-Sediment Chemistry Reporting Format; Excitation-emission matrix spectroscopy; FTICR-MS; Fourier-transform ion cyclotron resonance mass spectroscopy; Freshwater; Hydrobiogeochemical function; Hyporheic zone; Mass spectrometry; Metabolite; Metabolomics; NPOC; Non-purgeable organic carbon; Organic matter; River; SUVA; Specific ultraviolet absorbance; Stream; TN; Total nitrogen; UV254; Ultraviolet absorbance at 254 nanometers; WHONDRS; Water quality; Water treatment; Watershed
OSTI Identifier:
1969118
DOI:
https://doi.org/10.15485/1969118

Citation Formats

Leonard, Laura T., Beutler, Curtis A., Chu, Rosalie, Danczak, Robert E., Forbes, Brieanne, Garayburu-Caruso, Vanessa A., Goldman, Amy E., Lau, Stephanie S., McKever, Sophia A., Mitch, William A., Newman, Alexander W., Renteria, Lupita, Toyoda, Jason G., Stegen, James C., Vanzin, Gary F., Williams, Kenneth H., and Sharp, Jonathon O. Surface Water Disinfection Byproducts and Organic Matter Characterization Data Associated with: “Disinfection byproducts formed during drinking water treatment reveal an export control point for dissolved organic matter in a subalpine headwater stream”. United States: N. p., 2023. Web. doi:10.15485/1969118.
Leonard, Laura T., Beutler, Curtis A., Chu, Rosalie, Danczak, Robert E., Forbes, Brieanne, Garayburu-Caruso, Vanessa A., Goldman, Amy E., Lau, Stephanie S., McKever, Sophia A., Mitch, William A., Newman, Alexander W., Renteria, Lupita, Toyoda, Jason G., Stegen, James C., Vanzin, Gary F., Williams, Kenneth H., & Sharp, Jonathon O. Surface Water Disinfection Byproducts and Organic Matter Characterization Data Associated with: “Disinfection byproducts formed during drinking water treatment reveal an export control point for dissolved organic matter in a subalpine headwater stream”. United States. doi:https://doi.org/10.15485/1969118
Leonard, Laura T., Beutler, Curtis A., Chu, Rosalie, Danczak, Robert E., Forbes, Brieanne, Garayburu-Caruso, Vanessa A., Goldman, Amy E., Lau, Stephanie S., McKever, Sophia A., Mitch, William A., Newman, Alexander W., Renteria, Lupita, Toyoda, Jason G., Stegen, James C., Vanzin, Gary F., Williams, Kenneth H., and Sharp, Jonathon O. 2023. "Surface Water Disinfection Byproducts and Organic Matter Characterization Data Associated with: “Disinfection byproducts formed during drinking water treatment reveal an export control point for dissolved organic matter in a subalpine headwater stream”". United States. doi:https://doi.org/10.15485/1969118. https://www.osti.gov/servlets/purl/1969118. Pub date:Wed Apr 05 04:00:00 UTC 2023
@article{osti_1969118,
title = {Surface Water Disinfection Byproducts and Organic Matter Characterization Data Associated with: “Disinfection byproducts formed during drinking water treatment reveal an export control point for dissolved organic matter in a subalpine headwater stream”},
author = {Leonard, Laura T. and Beutler, Curtis A. and Chu, Rosalie and Danczak, Robert E. and Forbes, Brieanne and Garayburu-Caruso, Vanessa A. and Goldman, Amy E. and Lau, Stephanie S. and McKever, Sophia A. and Mitch, William A. and Newman, Alexander W. and Renteria, Lupita and Toyoda, Jason G. and Stegen, James C. and Vanzin, Gary F. and Williams, Kenneth H. and Sharp, Jonathon O.},
abstractNote = {This dataset is associated with the publication “Disinfection byproducts formed during drinking water treatment reveal an export control point for dissolved organic matter in a subalpine headwater stream” published in Water Research X (Leonard et al. 2022; https://doi.org/10.1016/j.wroa.2022.100144). The associated study analyzed temporal trends from the Town of Crested Butte water treatment facility and synoptic sampling at Coal Creek in Crested Butte, Colorado, US. This work demonstrates how drinking water quality archives combined with synoptic sampling and targeted analyses can be used to identify and understand export control points for dissolved organic matter.This dataset is comprised of one main data folder containing (1) file-level metadata; (2) data dictionary; (3) metadata and international geo-sample number (IGSN) mapping file; (4) dissolved organic carbon (DOC), ultraviolet absorbance at 254 nanometers (UV254), total nitrogen (TN), and specific ultraviolet absorbance (SUVA) data; (5) disinfection bioproduct formation potential (DBP-FP) data; (6) readme; (7) methods codes; (8) water collection protocol; (9) 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); and (10) folder of excitation emissions matrix (EEM) spectra. The FTICR folder contains a file of DOC (measured as non-purgeable organic carbon; NPOC) used for FTICR sample preparation. The FTICR folder also contains three subfolders: one subfolder containing the raw .xml data files, one containing the processed data, 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, .dat, .R, .ref, or .xml},
doi = {10.15485/1969118},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Apr 05 04:00:00 UTC 2023},
month = {Wed Apr 05 04:00:00 UTC 2023}
}