FTICR, NPOC, TN, and Moisture of Variably Inundated Sediment across 48 North American Rivers

Garayburu-Caruso, Vanessa A.; Goldman, Amy E.; Chu, Rosalie; Danczak, Robert E.; McCall, Marcy L.; McKever, Sophia A.; Renteria, Lupita; Tolic, Nikola; Torgeson, Joshua M.; Toyoda, Jason G.; Stegen, James C.; WHONDRS Consortium, The

doi:10.15485/1834208

Title: FTICR, NPOC, TN, and Moisture of Variably Inundated Sediment across 48 North American Rivers

Dataset
Other Related Research

Abstract

This dataset supports a broader study examining drivers of organic matter chemistry in variably inundated hyporheic zone sediments and further linking that chemistry to biogeochemical rates. The dataset provides physical and chemical sediment data collected from 48 rivers across North America. There are related data that will be published, including surficial sediment temperature time series that can be used to infer the dynamics of inundation prior to the collection of sediments. This dataset is comprised of two folders: (1) ECA2_Sediment and (2) ECA2_SitePhotos. The ECA2_Sediment folder contains: (1) file-level metadata; (2) data dictionary; (3) field metadata; (4) non-purgeable organic carbon (NPOC), total nitrogen (TN), and sediment moisture; (5) sediment sampling protocol, (6) readme, and (7) folder of high resolution characterization of organic matter from sediment extracts via 12 Tesla Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) through the Environmental Molecular Sciences Laboratory (EMSL; https://www.pnnl.gov/environmental-molecular-sciences-laboratory). The FTICR-MS files are .xml, and the data package includes 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 other files are .csv, .txt, or .pdf. The ECA2_SitePhotos folder contains a readme and site photographs taken in the field. All files are .txt ormore » .jpg.« less

Authors:

;

; McCall, Marcy L.; McKever, Sophia A.;

;

; WHONDRS Consortium, The

Pacific Northwest National Laboratory

Publication Date:: 2021-01-01

DOE Contract Number:: DOE Award #74193

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); Early Career Research Program: Watershed Perturbation-Response Traits Derived Through Ecological Theory - Worldwide Hydrobiogeochemistry Observation Network for Dynamic River Systems (WHONDRS)

Sponsoring Org.:: U.S. DOE > Office of Science > Early Career Research Program

Subject:: 54 ENVIRONMENTAL SCIENCES

Keywords:: River corridor; Sediment; Stream; Metabolite; Metabolomics; Mass spectrometry; Biogeochemistry; Intermittent; Parafluvial; Non-perennial; Ephemeral; Inundation; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; related identifiers; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER; NPOC; Non-purgeable organic carbon; FTICR-MS; TN; Total nitrogen; Moisture; Site photographs; Grain size; Vegetation; Canopy cover; Macrophyte cover

Geolocation:: 31.4431,-81.2864|31.4431,-81.2864|31.4431,-81.2864|31.4431,-81.2864|31.4431,-81.286436.9613,-119.0279|36.9613,-119.0279|36.9613,-119.0279|36.9613,-119.0279|36.9613,-119.027941.8335,-72.2429|41.8335,-72.2429|41.8335,-72.2429|41.8335,-72.2429|41.8335,-72.242940.6466,-77.9069|40.6466,-77.9069|40.6466,-77.9069|40.6466,-77.9069|40.6466,-77.906939.0954,-77.9829|39.0954,-77.9829|39.0954,-77.9829|39.0954,-77.9829|39.0954,-77.982968.644,-149.4026|68.644,-149.4026|68.644,-149.4026|68.644,-149.4026|68.644,-149.402630.2504,-97.7084|30.2504,-97.7084|30.2504,-97.7084|30.2504,-97.7084|30.2504,-97.708447.1749,-116.2395|47.1749,-116.2395|47.1749,-116.2395|47.1749,-116.2395|47.1749,-116.239539.7584,-102.4486|39.7584,-102.4486|39.7584,-102.4486|39.7584,-102.4486|39.7584,-102.448639.3623,-123.7351|39.3623,-123.7351|39.3623,-123.7351|39.3623,-123.7351|39.3623,-123.735138.9102,-107.0297|38.9102,-107.0297|38.9102,-107.0297|38.9102,-107.0297|38.9102,-107.029737.0558,-119.1958|37.0558,-119.1958|37.0558,-119.1958|37.0558,-119.1958|37.0558,-119.195833.1314,-79.8086|33.1314,-79.8086|33.1314,-79.8086|33.1314,-79.8086|33.1314,-79.808635.9578,-84.2792|35.9578,-84.2792|35.9578,-84.2792|35.9578,-84.2792|35.9578,-84.279242.5237,-71.1849|42.5237,-71.1849|42.5237,-71.1849|42.5237,-71.1849|42.5237,-71.184965.1531,-147.5022|65.1531,-147.5022|65.1531,-147.5022|65.1531,-147.5022|65.1531,-147.502239.1044,96.6025|39.1044,96.6025|39.1044,96.6025|39.1044,96.6025|39.1044,96.602543.1233,-116.7745|43.1233,-116.7745|43.1233,-116.7745|43.1233,-116.7745|43.1233,-116.774533.1273,-79.7793|33.1273,-79.7793|33.1273,-79.7793|33.1273,-79.7793|33.1273,-79.779342.3529,-85.3532|42.3529,-85.3532|42.3529,-85.3532|42.3529,-85.3532|42.3529,-85.353237.2914,-75.9309|37.2914,-75.9309|37.2914,-75.9309|37.2914,-75.9309|37.2914,-75.930944.2135,-122.2529|44.2135,-122.2529|44.2135,-122.2529|44.2135,-122.2529|44.2135,-122.252942.9885,-108.3986|42.9885,-108.3986|42.9885,-108.3986|42.9885,-108.3986|42.9885,-108.398642.7698,-70.9171|42.7698,-70.9171|42.7698,-70.9171|42.7698,-70.9171|42.7698,-70.917146.373,-119.2722|46.373,-119.2722|46.373,-119.2722|46.373,-119.2722|46.373,-119.272245.7923,-121.9293|45.7923,-121.9293|45.7923,-121.9293|45.7923,-121.9293|45.7923,-121.929335.3211,-106.559|35.3211,-106.559|35.3211,-106.559|35.3211,-106.559|35.3211,-106.55935.6918,-83.504|35.6918,-83.504|35.6918,-83.504|35.6918,-83.504|35.6918,-83.50442.4713,-72.3301|42.4713,-72.3301|42.4713,-72.3301|42.4713,-72.3301|42.4713,-72.330135.8688,-106.5227|35.8688,-106.5227|35.8688,-106.5227|35.8688,-106.5227|35.8688,-106.522744.2604,-122.1647|44.2604,-122.1647|44.2604,-122.1647|44.2604,-122.1647|44.2604,-122.164733.7512,-111.5083|33.7512,-111.5083|33.7512,-111.5083|33.7512,-111.5083|33.7512,-111.508339.8907,-105.9113|39.8907,-105.9113|39.8907,-105.9113|39.8907,-105.9113|39.8907,-105.911318.2772,-65.7858|18.2772,-65.7858|18.2772,-65.7858|18.2772,-65.7858|18.2772,-65.785833.3165,-81.7139|33.3165,-81.7139|33.3165,-81.7139|33.3165,-81.7139|33.3165,-81.713943.9551,-71.7223|43.9551,-71.7223|43.9551,-71.7223|43.9551,-71.7223|43.9551,-71.722338.9467,-96.4433|38.9467,-96.4433|38.9467,-96.4433|38.9467,-96.4433|38.9467,-96.443335.8756,-106.5122|35.8756,-106.5122|35.8756,-106.5122|35.8756,-106.5122|35.8756,-106.512246.3763,-119.2799|46.3763,-119.2799|46.3763,-119.2799|46.3763,-119.2799|46.3763,-119.279938.8947,-78.1475|38.8947,-78.1475|38.8947,-78.1475|38.8947,-78.1475|38.8947,-78.147540.0349,-105.5445|40.0349,-105.5445|40.0349,-105.5445|40.0349,-105.5445|40.0349,-105.544539.1056,-96.6056|39.1056,-96.6056|39.1056,-96.6056|39.1056,-96.6056|39.1056,-96.605646.033,-89.608|46.033,-89.608|46.033,-89.608|46.033,-89.608|46.033,-89.60835.9663,-84.3582|35.9663,-84.3582|35.9663,-84.3582|35.9663,-84.3582|35.9663,-84.358238.9235,-106.9511|38.9235,-106.9511|38.9235,-106.9511|38.9235,-106.9511|38.9235,-106.951118.1744,-66.8003|18.1744,-66.8003|18.1744,-66.8003|18.1744,-66.8003|18.1744,-66.800331.3344,-81.4785|31.3344,-81.4785|31.3344,-81.4785|31.3344,-81.4785|31.3344,-81.478539.3117,-76.7174|39.3117,-76.7174|39.3117,-76.7174|39.3117,-76.7174|39.3117,-76.7174

OSTI Identifier:: 1834208

DOI:: https://doi.org/10.15485/1834208

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Project Location:

Citation Formats


                    Garayburu-Caruso, Vanessa A., Goldman, Amy E., Chu, Rosalie, Danczak, Robert E., McCall, Marcy L., McKever, Sophia A., Renteria, Lupita, Tolic, Nikola, Torgeson, Joshua M., Toyoda, Jason G., Stegen, James C., and WHONDRS Consortium, The. FTICR, NPOC, TN, and Moisture of Variably Inundated Sediment across 48 North American Rivers.  United States: N. p., 2021. 
        Web.  doi:10.15485/1834208.

Copy to clipboard


                    Garayburu-Caruso, Vanessa A., Goldman, Amy E., Chu, Rosalie, Danczak, Robert E., McCall, Marcy L., McKever, Sophia A., Renteria, Lupita, Tolic, Nikola, Torgeson, Joshua M., Toyoda, Jason G., Stegen, James C., & WHONDRS Consortium, The. FTICR, NPOC, TN, and Moisture of Variably Inundated Sediment across 48 North American Rivers.  United States.  doi:https://doi.org/10.15485/1834208

Copy to clipboard


                    Garayburu-Caruso, Vanessa A., Goldman, Amy E., Chu, Rosalie, Danczak, Robert E., McCall, Marcy L., McKever, Sophia A., Renteria, Lupita, Tolic, Nikola, Torgeson, Joshua M., Toyoda, Jason G., Stegen, James C., and WHONDRS Consortium, The. 2021.  
"FTICR, NPOC, TN, and Moisture of Variably Inundated Sediment across 48 North American Rivers".  United States.  doi:https://doi.org/10.15485/1834208.  https://www.osti.gov/servlets/purl/1834208. Pub date:Fri Jan 01 00:00:00 EST 2021

Copy to clipboard


                    
@article{osti_1834208,

  title        = {FTICR, NPOC, TN, and Moisture of Variably Inundated Sediment across 48 North American Rivers},

  author       = {Garayburu-Caruso, Vanessa A. and Goldman, Amy E. and Chu, Rosalie and Danczak, Robert E. and McCall, Marcy L. and McKever, Sophia A. and Renteria, Lupita and Tolic, Nikola and Torgeson, Joshua M. and Toyoda, Jason G. and Stegen, James C. and WHONDRS Consortium, The},

  abstractNote = {This dataset supports a broader study examining drivers of organic matter chemistry in variably inundated hyporheic zone sediments and further linking that chemistry to biogeochemical rates. The dataset provides physical and chemical sediment data collected from 48 rivers across North America. There are related data that will be published, including surficial sediment temperature time series that can be used to infer the dynamics of inundation prior to the collection of sediments. This dataset is comprised of two folders: (1) ECA2_Sediment and (2) ECA2_SitePhotos. The ECA2_Sediment folder contains: (1) file-level metadata; (2) data dictionary; (3) field metadata; (4) non-purgeable organic carbon (NPOC), total nitrogen (TN), and sediment moisture; (5) sediment sampling protocol, (6) readme, and (7) folder of high resolution characterization of organic matter from sediment extracts via 12 Tesla Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) through the Environmental Molecular Sciences Laboratory (EMSL; https://www.pnnl.gov/environmental-molecular-sciences-laboratory). The FTICR-MS files are .xml, and the data package includes 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 other files are .csv, .txt, or .pdf. The ECA2_SitePhotos folder contains a readme and site photographs taken in the field. All files are .txt or .jpg.},

  doi          = {10.15485/1834208},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2021},

  month        = {1}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15485/1834208

Save / Share:

Export Metadata

Save to My Library

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

Time Series Surface Temperature of Variably Inundated Sediment across 30 North American Rivers

Dataset Reed, Andrew ; Garayburu-Caruso, Vanessa A. ; Goldman, Amy E. ; ...

This dataset supports a broader study examining drivers of organic matter chemistry in variably inundated hyporheic zone sediments and further linking that chemistry to biogeochemical rates. The dataset provides surficial temperature time series that can be used to infer the dynamics of inundation prior to the collection of sediments. Those inferred inundation histories can then be used to help interpret variation in the organic matter chemistry. There are related data that will be published, such as FTICR-MS data on organic matter chemistry and sediment moisture. A data package with those data is forthcoming.This dataset is comprised of two folders: (1)more »« less
WHONDRS Summer 2019 Sampling Campaign: Global River Corridor Surface Water FTICR-MS, NPOC, TN, Anions, Stable Isotopes, Bacterial Abundance, and Dissolved Inorganic Carbon (v6)

Dataset Toyoda, Jason G ; Goldman, Amy E ; Arnon, Shai ; ...

The WHONDRS Summer 2019 Sampling (S19S) Campaign collected samples in 97 globally distributed river corridor systems between July and September 2019. Surficial streambed sediments were collected at three locations within each site (upstream, midstream, and downstream). Surface water was collected at the downstream site. This dataset includes a portion of the data types produced from the surface water samples and does not include any results from the sediment. Sediment data can be found at https://data.ess-dive.lbl.gov/view/doi:10.15485/1729719. Future datasets from this study will include hydrologic and microbial data from the surface water and sediment. The S19S campaign was designed with the sciencemore »« less
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
Timeseries Photos and (Meta)Data of Variably Inundated Streams Across The Yakima River Basin, Washington, United States

Dataset Renteria, Lupita ; Bao, Jie ; Chen, Yunxiang ; ...

These game camera time series photos (.jpg) and associated metadata (.csv) are from the “River Monitoring Photos” (RMP) study that is ongoing. The purpose of these photos is to evaluate stream variable inundation via changes in width. The metadata has not been QAQC’d. Future versions will include the QAQC’d metadata, additional (meta)data, and additional photos. We thank the Confederated Tribes and Bands of the Yakama Nation Tribal Council and Yakama Nation Fisheries for working with us to facilitate sample collection and optimization of data usage according to their values and worldview.
WHONDRS Surface Water and Sediment Non-Purgeable Organic Carbon and FTICR-MS across Glacial Features in Svalbard 2021

Dataset McKever, Sophia A. ; Chu, Rosalie ; Danczak, Robert E ; ...

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 and sediment. Samples were collected from 8 spatially diverse sites across central Svalbard and also from a more comprehensive temporal and spatial study within one glacial catchment area throughout one summer melt season. 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)more »« less

Similar Records