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"

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

doi:10.15485/1869708

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"

Dataset
Other Related Research

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 » csv, xml, pdf.« less

Authors:

; Bladon, Kevin D.; Donahue, David;

;

; Morgenstern, Karl; Norwood, Matthew J.; Wampler, Katie A.; Erkert, Lisa;

;

; Fricke, Susan;

Pacific Northwest National Laboratory
Oregon State University
Eugene Water and Electric Board

Publication Date:: Sat Jan 01 00:00:00 EST 2022

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); River Corridor and Watershed Biogeochemistry SFA

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

Subject:: 54 ENVIRONMENTAL SCIENCES

Keywords:: Wildfire; Streams; Dissolved organic matter; Biogeochemistry; River corridor; ESS-DIVE Hydrologic Monitoring Reporting Format; ESS-DIVE Sample ID and Metadata Reporting Format; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; Dissolved organic carbon; NPOC; Non-purgeable organic carbon; Total dissolved nitrogen; TDN; TN; Turbidity; FTICR-MS

Geolocation:: 44.1463,-122.5724|44.1463,-122.5724|44.1463,-122.5724|44.1463,-122.5724|44.1463,-122.572444.1253,-122.5299|44.1253,-122.5299|44.1253,-122.5299|44.1253,-122.5299|44.1253,-122.529944.1331,-122.4831|44.1331,-122.4831|44.1331,-122.4831|44.1331,-122.4831|44.1331,-122.483144.1496,-122.3647|44.1496,-122.3647|44.1496,-122.3647|44.1496,-122.3647|44.1496,-122.364744.1603,-122.3343|44.1603,-122.3343|44.1603,-122.3343|44.1603,-122.3343|44.1603,-122.3343

OSTI Identifier:: 1869708

DOI:: https://doi.org/10.15485/1869708

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

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., 2022. 
        Web.  doi:10.15485/1869708.

Copy to clipboard


                    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

Copy to clipboard


                    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. 2022.  
"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:Sat Jan 01 00:00:00 EST 2022

Copy to clipboard


                    
@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         = {Sat Jan 01 00:00:00 EST 2022},

  month        = {Sat Jan 01 00:00:00 EST 2022}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15485/1869708

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

FTICR-MS Data from Multi-continent River Water and Sediment and from Coastal River Fresh and Saline Sediment Associated with: “Dissolved Organic Matter Functional Trait Relationships are Conserved Across Rivers”

Dataset Garayburu-Caruso, Vanessa A. ; Goldman, Amy E. ; Toyoda, Jason G. ; ...

This data package is associated with the publication “Dissolved Organic Matter Functional Trait Relationships are Conserved Across Rivers” submitted to PNAS (Stegen et al., 2023). The study aims to understand large-scale spatial structure of the dissolved organic matter (DOM) thermodynamic traits and inter-trait relationships by investigating (1) river water and sediments collected along 97 rivers spanning 3 continents and (2) coastal sediment collected from fresh and saline locations in Pacific and Gulf/Atlantic rivers. Sediment extracts and water samples were analyzed using ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS). This dataset is comprised of three folders (1) Coastal,more »« less
Spatiotemporal Controls on the Delivery of Dissolved Organic Matter to Streams Following a Wildfire

Journal Article Roebuck, Jr., Jesse Alan ; Bladon, Kevin D. ; Donahue, David ; ... - Geophysical Research Letters

Warmer and drier climate has contributed to increased occurrence of large, high severity wildfires in the Pacific Northwest, drawing concerns for water quality and ecosystem recovery. While nutrient fluxes generally increase post-fire, the composition of organic matter (OM) transported to streams immediately following a fire is poorly constrained, yet can play an integral role in downstream water quality and biogeochemistry. Here, we quantified the spatiotemporal patterns of dissolved OM (DOM) chemistry for five streams burned by wildfires in Oregon, USA in 2020. We sampled over a 24-hour storm event one month after the fire, revealing variable temporal behavior in DOMmore »« less
WHONDRS Surface Water Dissolved Organic Carbon and FTICR-MS across Stream Orders in Four United States Watersheds in 2019 and 2020 (v3)

Dataset Torgeson, Joshua M. ; Bambakidis, Ted ; Bates, Tristan L. ; ...

This dataset supports the broader Watershed Rules of Life (WROL) study examining spatial and temporal biogeochemical and microbial relationships across the Connecticut River, Deschutes River, Gunnison River, and Willamette River watersheds. The dataset provides geochemistry and organic matter characterization data generated from surface water collected from August 2019 to September 2020 in Colorado, Connecticut, Oregon, and Vermont. Related data were collected and will be published separately in collaboration with P. A. Raymond and B. C. Crump as part of WROL. This dataset is comprised of one folder containing (1) file-level metadata; (2) data dictionary; (3) readme; (4) field metadata; (5)more »« less
FTICR-MS and Biochemical Transformation Data from Global Inland River Water and Sediment Associated with: "Organic Matter Transformations are Disconnected Between Surface Water and the Hyporheic Zone"

Dataset Stegen, James C. ; Fansler, Sarah J. ; Tfaily, Malak M. ; ...

This data package is associated with the publication "Organic Matter Transformations are Disconnected Between Surface Water and the Hyporheic Zone" submitted to Biogeosciences (Stegen et al., 2022). The study aims to understand how the diversity of OM transformations varies across surface and subsurface components of river corridors using inland surface water and sediments collected along river corridors across the contiguous United States. Sediment extracts and water samples were analyzed using ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS). This dataset is comprised of one folder (WHONDR_S19S) which contains (1) a subfolder with R scripts used to process themore »« less
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”

Dataset Leonard, Laura T. ; Beutler, Curtis A. ; Chu, Rosalie ; ...

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 datamore »« less

Similar Records