Scripts and data associated with a manuscript linking soil and sediment elemental composition with dissolved organic matter chemistry across CONUS
Abstract
This data package provides scripts and geochemical data for a manuscript titled “Linkages between mineral element composition of soils and sediments with hyporheic zone dissolved organic matter chemistry across the contiguous United States” (preprint: doi: 10.22541/essoar.169447343.31694990/v1). This data is associated with the Worldwide Hydrobiogeochemistry Observation Network for Dynamic River Systems (WHONDRS, https://whondrs.pnnl.gov) and is an extension of the Summer 2019 Sampling campaign which crowdsourced samples from rivers and sediment across the continental United States. Data from this study can be found at https://data.ess-dive.lbl.gov/datasets/doi:10.15485/1603775 and https://data.ess-dive.lbl.gov/datasets/doi:10.15485/1729719. The main objective of this manuscript was to couple sediment water extractable dissolved organic matter chemistry, defined by ultra-high resolution mass spectrometry, with localized sediment elemental composition and watershed scale soil elemental characteristics.This data package contains one main folder with four subfolders. The main data folder contains (1) readme; (2) data dictionary (dd); (3) file-level metadata (flmd); (4) an R markdown to reproduce manuscript figures and analyses; (5) a pdf of instructions to reproduce NGS interpolations with ArcGIS software; and (6) a python script to reproduce NGS extrapolations with python. The four subfolders contain files required to reproduce NGS extrapolations include (1) ‘CONUS_boundaries’ containing boundary layers (.shp) for the Continental United States; (2) ‘ngs_project’ containingmore »
- Authors:
-
- Pacific Northwest National Laboratory (PNNL); Pacific Northwest National Laboratory (PNNL)
- Pacific Northwest National Laboratory (PNNL)
- 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; DOM; Dissolved organic matter; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER CHARACTERISTICS > ORGANIC MATTER; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; FTICR-MS; Fourier-transform ion cyclotron resonance mass spectrometry; Freshwater; High-resolution mass spectrometry; Hyporheic zone; River; River Corridor; Sediment; Sediment elemental composition; Soil elemental composition; Stream; Water extractable DOM; Watershed; X-ray fluorescence; XRF
- OSTI Identifier:
- 2246724
- DOI:
- https://doi.org/10.15485/2246724
Citation Formats
Roebuck, Alan, Forbes, Brieanne, Rod, Kenton A, Garayburu-Caruso, Vanessa A, Chu, Rosalie K, Goldman, Amy, Powers-McCormack, Beck, Renteria, Lupita, Taylor, Micah, and Stegen, James. Scripts and data associated with a manuscript linking soil and sediment elemental composition with dissolved organic matter chemistry across CONUS. United States: N. p., 2023.
Web. doi:10.15485/2246724.
Roebuck, Alan, Forbes, Brieanne, Rod, Kenton A, Garayburu-Caruso, Vanessa A, Chu, Rosalie K, Goldman, Amy, Powers-McCormack, Beck, Renteria, Lupita, Taylor, Micah, & Stegen, James. Scripts and data associated with a manuscript linking soil and sediment elemental composition with dissolved organic matter chemistry across CONUS. United States. doi:https://doi.org/10.15485/2246724
Roebuck, Alan, Forbes, Brieanne, Rod, Kenton A, Garayburu-Caruso, Vanessa A, Chu, Rosalie K, Goldman, Amy, Powers-McCormack, Beck, Renteria, Lupita, Taylor, Micah, and Stegen, James. 2023.
"Scripts and data associated with a manuscript linking soil and sediment elemental composition with dissolved organic matter chemistry across CONUS". United States. doi:https://doi.org/10.15485/2246724. https://www.osti.gov/servlets/purl/2246724. Pub date:Sun Jan 01 04:00:00 UTC 2023
@article{osti_2246724,
title = {Scripts and data associated with a manuscript linking soil and sediment elemental composition with dissolved organic matter chemistry across CONUS},
author = {Roebuck, Alan and Forbes, Brieanne and Rod, Kenton A and Garayburu-Caruso, Vanessa A and Chu, Rosalie K and Goldman, Amy and Powers-McCormack, Beck and Renteria, Lupita and Taylor, Micah and Stegen, James},
abstractNote = {This data package provides scripts and geochemical data for a manuscript titled “Linkages between mineral element composition of soils and sediments with hyporheic zone dissolved organic matter chemistry across the contiguous United States” (preprint: doi: 10.22541/essoar.169447343.31694990/v1). This data is associated with the Worldwide Hydrobiogeochemistry Observation Network for Dynamic River Systems (WHONDRS, https://whondrs.pnnl.gov) and is an extension of the Summer 2019 Sampling campaign which crowdsourced samples from rivers and sediment across the continental United States. Data from this study can be found at https://data.ess-dive.lbl.gov/datasets/doi:10.15485/1603775 and https://data.ess-dive.lbl.gov/datasets/doi:10.15485/1729719. The main objective of this manuscript was to couple sediment water extractable dissolved organic matter chemistry, defined by ultra-high resolution mass spectrometry, with localized sediment elemental composition and watershed scale soil elemental characteristics.This data package contains one main folder with four subfolders. The main data folder contains (1) readme; (2) data dictionary (dd); (3) file-level metadata (flmd); (4) an R markdown to reproduce manuscript figures and analyses; (5) a pdf of instructions to reproduce NGS interpolations with ArcGIS software; and (6) a python script to reproduce NGS extrapolations with python. The four subfolders contain files required to reproduce NGS extrapolations include (1) ‘CONUS_boundaries’ containing boundary layers (.shp) for the Continental United States; (2) ‘ngs_project’ containing files (.shp) with point level NGS soil elemental data (Grossman et al., 2004); (3) ‘raster_outputs’ containing the interpolated raster output files for various soil elements; and (4) ‘NGS_Chemistry_Final’ contain final extracted soil elemental data.},
doi = {10.15485/2246724},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 04:00:00 UTC 2023},
month = {Sun Jan 01 04:00:00 UTC 2023}
}
