FTICR-MS, Sensor, and Environmental Data from 5 Streams Impacted by the 2020 Holiday Farm Fire Associated with: "Spatiotemporal controls on the delivery of dissolved organic matter to streams following a wildfire"
Abstract
This data package is associated with the publication "Spatiotemporal Controls on the Delivery of Dissolved Organic Matter to Streams Following a Wildfire" submitted to Geophysical Research Letters (Roebuck et al., 2022). The study aims to understand storm induced transport of pyrogenic materials to streams impacted by varying degrees of burn severity. Time series samples (24 samples in 1-hour intervals) were collected at 5 sites within the McKenzie River Watershed (Oregon, USA) whose catchment were each completely engulfed by the 2020 Holiday Farm Fire. The samples were collected in November 2020 during the first major storm pulse following the conclusion of the wildfire. Samples were characterized for dissolved organic carbon, total dissolved nitrogen, and by ultra-high resolution mass spectrometry. In situ turbidity data also collected.This data package contains 4 primary folders that include the following: 1) Metadata, 2) EnvData (Environmental Data), 3) SensorData, and 4) FTICR_SupportingData. The package contains a single file-level metadata (flmd) file. Each primary folder also contains individual data dictionaries (dd) to define and provide descriptors of column/row headers and data flags. The FTICR_SupportingData, folder 4, contains raw, unprocessed FTICR-MS Data files in addition to a csv containing processed FTICR-MS data. This package contains the following file types:more »
- Authors:
-
- Pacific Northwest National Laboratory; Pacific Northwest National Laboratory
- Oregon State University
- Eugene Water and Electric Board
- Pacific Northwest National Laboratory
- Publication Date:
- Research Org.:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem; River Corridor and Watershed Biogeochemistry SFA
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Biogeochemistry; Dissolved organic carbon; Dissolved organic matter; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; ESS-DIVE Hydrologic Monitoring Reporting Format; ESS-DIVE Sample ID and Metadata Reporting Format; FTICR-MS; NPOC; Non-purgeable organic carbon; River corridor; Streams; TDN; TN; Total dissolved nitrogen; Turbidity; Wildfire
- OSTI Identifier:
- 1869708
- DOI:
- https://doi.org/10.15485/1869708
Citation Formats
Roebuck, Alan, Bladon, Kevin D., Donahue, David, Graham, Emily B., Grieger, Samantha, Morgenstern, Karl, Norwood, Matthew J., Wampler, Katie A., Erkert, Lisa, Renteria, Lupita, Danczak, Robert E., Fricke, Susan, and Myers-Pigg, Allison. FTICR-MS, Sensor, and Environmental Data from 5 Streams Impacted by the 2020 Holiday Farm Fire Associated with: "Spatiotemporal controls on the delivery of dissolved organic matter to streams following a wildfire". United States: N. p., 2021.
Web. doi:10.15485/1869708.
Roebuck, Alan, Bladon, Kevin D., Donahue, David, Graham, Emily B., Grieger, Samantha, Morgenstern, Karl, Norwood, Matthew J., Wampler, Katie A., Erkert, Lisa, Renteria, Lupita, Danczak, Robert E., Fricke, Susan, & Myers-Pigg, Allison. FTICR-MS, Sensor, and Environmental Data from 5 Streams Impacted by the 2020 Holiday Farm Fire Associated with: "Spatiotemporal controls on the delivery of dissolved organic matter to streams following a wildfire". United States. doi:https://doi.org/10.15485/1869708
Roebuck, Alan, Bladon, Kevin D., Donahue, David, Graham, Emily B., Grieger, Samantha, Morgenstern, Karl, Norwood, Matthew J., Wampler, Katie A., Erkert, Lisa, Renteria, Lupita, Danczak, Robert E., Fricke, Susan, and Myers-Pigg, Allison. 2021.
"FTICR-MS, Sensor, and Environmental Data from 5 Streams Impacted by the 2020 Holiday Farm Fire Associated with: "Spatiotemporal controls on the delivery of dissolved organic matter to streams following a wildfire"". United States. doi:https://doi.org/10.15485/1869708. https://www.osti.gov/servlets/purl/1869708. Pub date:Fri Dec 31 23:00:00 EST 2021
@article{osti_1869708,
title = {FTICR-MS, Sensor, and Environmental Data from 5 Streams Impacted by the 2020 Holiday Farm Fire Associated with: "Spatiotemporal controls on the delivery of dissolved organic matter to streams following a wildfire"},
author = {Roebuck, Alan and Bladon, Kevin D. and Donahue, David and Graham, Emily B. and Grieger, Samantha and Morgenstern, Karl and Norwood, Matthew J. and Wampler, Katie A. and Erkert, Lisa and Renteria, Lupita and Danczak, Robert E. and Fricke, Susan and Myers-Pigg, Allison},
abstractNote = {This data package is associated with the publication "Spatiotemporal Controls on the Delivery of Dissolved Organic Matter to Streams Following a Wildfire" submitted to Geophysical Research Letters (Roebuck et al., 2022). The study aims to understand storm induced transport of pyrogenic materials to streams impacted by varying degrees of burn severity. Time series samples (24 samples in 1-hour intervals) were collected at 5 sites within the McKenzie River Watershed (Oregon, USA) whose catchment were each completely engulfed by the 2020 Holiday Farm Fire. The samples were collected in November 2020 during the first major storm pulse following the conclusion of the wildfire. Samples were characterized for dissolved organic carbon, total dissolved nitrogen, and by ultra-high resolution mass spectrometry. In situ turbidity data also collected.This data package contains 4 primary folders that include the following: 1) Metadata, 2) EnvData (Environmental Data), 3) SensorData, and 4) FTICR_SupportingData. The package contains a single file-level metadata (flmd) file. Each primary folder also contains individual data dictionaries (dd) to define and provide descriptors of column/row headers and data flags. The FTICR_SupportingData, folder 4, contains raw, unprocessed FTICR-MS Data files in addition to a csv containing processed FTICR-MS data. This package contains the following file types: csv, xml, pdf.},
doi = {10.15485/1869708},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Dec 31 23:00:00 EST 2021},
month = {Fri Dec 31 23:00:00 EST 2021}
}
