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

Creators: Amelia Nelson, Jason Toyoda, Rosalie ChuORCID, Nikola TolicORCID, Vanessa Garayburu-CarusoORCID, Casey SaupORCID, Lupita Renteria, Jacqueline Wells, James StegenORCID, Michael Wilkins, Robert Danczak
Year: 2021
DOI: 10.15485/1813303
License: CC0 (Public Domain)
Location: Meander A, East River, Colorado near Crested Butte (coordinates for all locations on EastRiver_FTICR_Metadata.csv)
Temporal extent: 2018-07-30 to 2018-08-09
Bounding box: 38.924°N to 38.924°N, -106.951°W to -106.951°W
Publisher: ESS_DIVE
Tags: Pore water, Hyporheic zone, FTICR-MS, Metabolomics, Organic matter, River corridor, Mass spectrometry, Metabolite, Hydrology & Watersheds, Geochemistry & Isotopes, Gunnison Basin

Description

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.

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