East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

Nelson, Amelia; Toyoda, Jason; Chu, Rosalie; Tolic, Nikola; Garayburu-Caruso, Vanessa; Saup, Casey; Renteria, Lupita; Wells, Jacqueline; Stegen, James; Wilkins, Michael; Danczak, Robert

doi:10.15485/1813303

Title: East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”

Dataset
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Abstract

Surface and pore water samples were collected from distributed locations around Meander A in East River (Crested Butte, CO, USA) during the summer of 2018. This dataset consists of the characterization of dissolved organic matter using 12 Tesla Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS; in .xml format) analyzed through the Environmental Molecular Sciences Laboratory (EMSL; https://www.pnnl.gov/environmental-molecular-sciences-laboratory) using two different sample pre-treatment methods (solid phase extraction, no solid phase extraction) and two electrospray ionization methods (ESI-positive, ESI-negative) to identify the impacts of these choices on the final dataset. This study aimed to understand how the different sample processing methods influence the resulting FTICR-MS dataset. Any published work that utilizes data presented in this dataset should cite the dataset using the DOI number. If using the dataset, please acknowledge the U.S. Department of Energy (DOE) Office of Science (BER) Subsurface Biogeochemical Research (SBR) program, the Environmental Molecular Sciences Laboratory (EMSL), and Worldwide Hydrobiogeochemical Observation Network for Dynamic River Systems (WHONDRS). The publication DOI will be added to this abstract when available.

Authors:

;

Colorado State University; Colorado State University
Pacific Northwest National Laboratory (PNNL)
The Ohio State University
Colorado State University

Publication Date:: Fri Jan 01 04:00:00 UTC 2021

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem; Seasonal controls on dynamic hyporheic zone redox biogeochemistry

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

Subject:: 54 ENVIRONMENTAL SCIENCES; FTICR-MS; Hyporheic zone; Mass spectrometry; Metabolite; Metabolomics; Organic matter; Pore water; River corridor

OSTI Identifier:: 1813303

DOI:: https://doi.org/10.15485/1813303

Citation Formats


                    Nelson, Amelia, Toyoda, Jason, Chu, Rosalie, Tolic, Nikola, Garayburu-Caruso, Vanessa, Saup, Casey, Renteria, Lupita, Wells, Jacqueline, Stegen, James, Wilkins, Michael, and Danczak, Robert. East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”.  United States: N. p., 2021. 
        Web.  doi:10.15485/1813303.

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                    Nelson, Amelia, Toyoda, Jason, Chu, Rosalie, Tolic, Nikola, Garayburu-Caruso, Vanessa, Saup, Casey, Renteria, Lupita, Wells, Jacqueline, Stegen, James, Wilkins, Michael, & Danczak, Robert. East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”.  United States.  doi:https://doi.org/10.15485/1813303

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                    Nelson, Amelia, Toyoda, Jason, Chu, Rosalie, Tolic, Nikola, Garayburu-Caruso, Vanessa, Saup, Casey, Renteria, Lupita, Wells, Jacqueline, Stegen, James, Wilkins, Michael, and Danczak, Robert. 2021.  
"East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”".  United States.  doi:https://doi.org/10.15485/1813303.  https://www.osti.gov/servlets/purl/1813303. Pub date:Fri Jan 01 04:00:00 UTC 2021

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@article{osti_1813303,

  title        = {East River Surface and Pore Water FTICR-MS Data Associated with “Implications of sample treatment on characterization of the riverine environmental metabolome”},

  author       = {Nelson, Amelia and Toyoda, Jason and Chu, Rosalie and Tolic, Nikola and Garayburu-Caruso, Vanessa and Saup, Casey and Renteria, Lupita and Wells, Jacqueline and Stegen, James and Wilkins, Michael and Danczak, Robert},

  abstractNote = {Surface and pore water samples were collected from distributed locations around Meander A in East River (Crested Butte, CO, USA) during the summer of 2018. This dataset consists of the characterization of dissolved organic matter using 12 Tesla Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS; in .xml format) analyzed through the Environmental Molecular Sciences Laboratory (EMSL; https://www.pnnl.gov/environmental-molecular-sciences-laboratory) using two different sample pre-treatment methods (solid phase extraction, no solid phase extraction) and two electrospray ionization methods (ESI-positive, ESI-negative) to identify the impacts of these choices on the final dataset. This study aimed to understand how the different sample processing methods influence the resulting FTICR-MS dataset. Any published work that utilizes data presented in this dataset should cite the dataset using the DOI number. If using the dataset, please acknowledge the U.S. Department of Energy (DOE) Office of Science (BER) Subsurface Biogeochemical Research (SBR) program, the Environmental Molecular Sciences Laboratory (EMSL), and Worldwide Hydrobiogeochemical Observation Network for Dynamic River Systems (WHONDRS). The publication DOI will be added to this abstract when available.},

  doi          = {10.15485/1813303},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Jan 01 04:00:00 UTC 2021},

  month        = {Fri Jan 01 04:00:00 UTC 2021}

}

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DOI: https://doi.org/10.15485/1813303

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