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Title: WHONDRS Surface Water Dissolved Organic Carbon and FTICR-MS across Glacial Features in Svalbard 2022

Abstract

This dataset supports a broader study examining climatic forcing of terrestrial greenhouse gas emission through permafrost and glaciers in Svalbard. The dataset provides geochemistry and organic matter characterization data generated from surface water collected from 11 sites across central Svalbard. Data were also collected in 2021 and can be found at https://data.ess-dive.lbl.gov/view/doi:10.15485/1888571. Additional related data were collected and will be published separately in collaboration with Yde and Kleber.This dataset is comprised of one main data folder containing (1) file-level metadata; (2) data dictionary; (3) field metadata; (4) dissolved organic carbon (DOC; measured as non-purgeable organic carbon; NPOC); (5) surface water sampling protocol; (6) readme; (7) methods codes; (8) international geo-sample number (IGSN) mapping file; (9) a folder of field photos; and (10) folder of high resolution characterization of organic matter via 7 Tesla Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) generated through the Environmental Molecular Sciences Laboratory (EMSL; https://www.pnnl.gov/environmental-molecular-sciences-laboratory). The FTICR 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.

Authors:
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  1. Pacific Northwest National Laboratory; Pacific Northwest National Laboratory
  2. Pacific Northwest National Laboratory
  3. University Centre in Svalbard
  4. University of Cambridge / University Centre in Svalbard (UNIS)
  5. UiT The Arctic University of Norway
  6. Western Norway University of Applied Sciences (formerly Høgskulen På Vestlandet)
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; DOC; Dissolved organic carbon; EARTH SCIENCE > CRYOSPHERE > GLACIERS/ICE SHEETS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GLACIERS/ICE SHEETS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER; 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; FTICR-MS; Freshwater; Hydrobiogeochemical function; Hyporheic zone; Mass spectrometry; Metabolite; Metabolomics; NPOC; Non-purgeable organic carbon; Organic matter; River; River corridor; Stream; Watershed
OSTI Identifier:
1969114
DOI:
https://doi.org/10.15485/1969114

Citation Formats

Renteria, Lupita, Chu, Rosalie, Danczak, Robert E., Delgado, Dillman, Forbes, Brieanne, Garayburu-Caruso, Vanessa A., Goldman, Amy E., Hodson, Andrew, Kleber, Gabrielle, Laan, Maggi, Magerl, Leonard, McKever, Sophia A., Toyoda, Jason G., Yde, Jacob, and Stegen, James C. WHONDRS Surface Water Dissolved Organic Carbon and FTICR-MS across Glacial Features in Svalbard 2022. United States: N. p., 2023. Web. doi:10.15485/1969114.
Renteria, Lupita, Chu, Rosalie, Danczak, Robert E., Delgado, Dillman, Forbes, Brieanne, Garayburu-Caruso, Vanessa A., Goldman, Amy E., Hodson, Andrew, Kleber, Gabrielle, Laan, Maggi, Magerl, Leonard, McKever, Sophia A., Toyoda, Jason G., Yde, Jacob, & Stegen, James C. WHONDRS Surface Water Dissolved Organic Carbon and FTICR-MS across Glacial Features in Svalbard 2022. United States. doi:https://doi.org/10.15485/1969114
Renteria, Lupita, Chu, Rosalie, Danczak, Robert E., Delgado, Dillman, Forbes, Brieanne, Garayburu-Caruso, Vanessa A., Goldman, Amy E., Hodson, Andrew, Kleber, Gabrielle, Laan, Maggi, Magerl, Leonard, McKever, Sophia A., Toyoda, Jason G., Yde, Jacob, and Stegen, James C. 2023. "WHONDRS Surface Water Dissolved Organic Carbon and FTICR-MS across Glacial Features in Svalbard 2022". United States. doi:https://doi.org/10.15485/1969114. https://www.osti.gov/servlets/purl/1969114. Pub date:Tue Apr 04 04:00:00 UTC 2023
@article{osti_1969114,
title = {WHONDRS Surface Water Dissolved Organic Carbon and FTICR-MS across Glacial Features in Svalbard 2022},
author = {Renteria, Lupita and Chu, Rosalie and Danczak, Robert E. and Delgado, Dillman and Forbes, Brieanne and Garayburu-Caruso, Vanessa A. and Goldman, Amy E. and Hodson, Andrew and Kleber, Gabrielle and Laan, Maggi and Magerl, Leonard and McKever, Sophia A. and Toyoda, Jason G. and Yde, Jacob and Stegen, James C.},
abstractNote = {This dataset supports a broader study examining climatic forcing of terrestrial greenhouse gas emission through permafrost and glaciers in Svalbard. The dataset provides geochemistry and organic matter characterization data generated from surface water collected from 11 sites across central Svalbard. Data were also collected in 2021 and can be found at https://data.ess-dive.lbl.gov/view/doi:10.15485/1888571. Additional related data were collected and will be published separately in collaboration with Yde and Kleber.This dataset is comprised of one main data folder containing (1) file-level metadata; (2) data dictionary; (3) field metadata; (4) dissolved organic carbon (DOC; measured as non-purgeable organic carbon; NPOC); (5) surface water sampling protocol; (6) readme; (7) methods codes; (8) international geo-sample number (IGSN) mapping file; (9) a folder of field photos; and (10) folder of high resolution characterization of organic matter via 7 Tesla Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) generated through the Environmental Molecular Sciences Laboratory (EMSL; https://www.pnnl.gov/environmental-molecular-sciences-laboratory). The FTICR 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.},
doi = {10.15485/1969114},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {4}
}