Data and statistical analysis scripts for manuscript on pennycress roots & response to nitrate using 3D gel system

Griffiths, Marcus; Liu, Alexander E.; Topp, Christopher N.

doi:10.5281/zenodo.7536940

Title: Data and statistical analysis scripts for manuscript on pennycress roots & response to nitrate using 3D gel system

Dataset
Other Related Research

Abstract

Data and statistical analysis scripts for manuscript on pennycress roots & response to nitrate using 3Dgel system: A temporal analysis and response to nitrate availability of 3D root system architecture in diverse pennycress (Thlaspi arvense L.) accessions [https://doi.org/10.3389/fpls.2023.1145389].

Authors:

Griffiths, Marcus; Liu, Alexander E.; Topp, Christopher N.

Donald Danforth Plant Science Center, St. Louis, MO (United States); Donald Danforth Plant Science Center
Donald Danforth Plant Science Center, St. Louis, MO (United States)

Publication Date:: Fri Jan 13 23:00:00 EST 2023

DOE Contract Number:: SC0021286

Research Org.:: Donald Danforth Plant Science Center, St. Louis, MO (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Subject:: 59 BASIC BIOLOGICAL SCIENCES; abiotic stress; cover crop; ecosystem service; field pennycress; nitrate; phenotyping; plasticity; root system architecture

OSTI Identifier:: 2217650

DOI:: https://doi.org/10.5281/zenodo.7536940

Citation Formats


                    Griffiths, Marcus, Liu, Alexander E., and Topp, Christopher N. Data and statistical analysis scripts for manuscript on pennycress roots & response to nitrate using 3D gel system.  United States: N. p., 2023. 
        Web.  doi:10.5281/zenodo.7536940.

Copy to clipboard


                    Griffiths, Marcus, Liu, Alexander E., & Topp, Christopher N. Data and statistical analysis scripts for manuscript on pennycress roots & response to nitrate using 3D gel system.  United States.  doi:https://doi.org/10.5281/zenodo.7536940

Copy to clipboard


                    Griffiths, Marcus, Liu, Alexander E., and Topp, Christopher N. 2023.  
"Data and statistical analysis scripts for manuscript on pennycress roots & response to nitrate using 3D gel system".  United States.  doi:https://doi.org/10.5281/zenodo.7536940.  https://www.osti.gov/servlets/purl/2217650. Pub date:Fri Jan 13 23:00:00 EST 2023

Copy to clipboard


                    
@article{osti_2217650,

  title        = {Data and statistical analysis scripts for manuscript on pennycress roots & response to nitrate using 3D gel system},

  author       = {Griffiths, Marcus and Liu, Alexander E. and Topp, Christopher N.},

  abstractNote = {Data and statistical analysis scripts for manuscript on pennycress roots & response to nitrate using 3Dgel system: A temporal analysis and response to nitrate availability of 3D root system architecture in diverse pennycress (Thlaspi arvense L.) accessions [https://doi.org/10.3389/fpls.2023.1145389].},

  doi          = {10.5281/zenodo.7536940},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Jan 13 23:00:00 EST 2023},

  month        = {Fri Jan 13 23:00:00 EST 2023}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.5281/zenodo.7536940

Save / Share:

Export Metadata

Save to My Library

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

Data and Scripts associated with a manuscript on ecosystem responses to wildfires in the Columbia River Basin

Dataset Shi, Mingjie ; Mcdowell, Nate G. ; Huang, Huilin ; ...

This data package is associated with the publication “Ecosystem leaf area, gross primary production, and evapotranspiration responses to wildfire in the Columbia River Basin” submitted to Biogeosciences (Shi et al., 2024; doi: 10.22541/au.171053013.30286044/v1). In this research, data products, leaf area index (LAI), gross primary production (GPP), and evapotranspiration (ET), from the Moderate Resolution Imaging Spectroradiometer (MODIS) are used to quantify the resistance and resilience of different ecosystem types in the Columbia River Basin (CRB). A machine learning algorithm, random forest (RF), was used to examine the impacts of precipitation, vapor pressure deficit (VPD), and burn severity from Monitoring Trends inmore »« less
Data and scripts associated with the manuscript "Using Mutual Information for Global Sensitivity Analysis on Watershed Modeling"

Dataset Jiang, Peishi ; Son, Kyongho ; Mudunuru, Maruti K. ; ...

This package contains the data and scripts used in "Using Mutual Information for Global Sensitivity Analysis on Watershed Modeling" (Jiang et al., 2022). The ARW_SWAT.zip file contains the SWAT simulation and the sensitivity analysis result in the American River Watershed. The Portage_SWAT.zip file contains the SWAT simulation and the sensitivity analysis result in the Portage River Watershed. The src folder contains the source code of sensitivity analysis and plotting functions. The notebooks folder contains the Jupyter notebooks for performing sensitivity analysis and other post analyses.Global Sensitivity Analysis (GSA) often is applied to assess the sensitivity of model outputs to theirmore »« less
Data and scripts associated with a manuscript on a meta-analysis synthesizing stream biogeochemical response to wildfires across space and time (v2)

Dataset Cavaiani, Jake ; Regier, Peter ; Roebuck, Alan ; ...

This data package is associated with the publication “Catchment characteristics modulate the influence of wildfires on nitrate and dissolved organic carbon in lotic systems across space and time: A meta-analysis” submitted to Global Biogeochemical Cycles (Cavaiani et al. 2025). This study uses meta-analytical techniques to evaluate the effect of wildfire on in-stream responses in burned and unburned watersheds. The study aims to provide additional insight into the range of responses and net influences that wildfires have on hydro-biogeochemistry across broad spatial scales, burn extents, and the persistence of water-quality change. This study compiles data and metadata from 18 total publicationsmore »« less
Data and scripts associated with the manuscript evaluating the hydrologic responses of the Pacific Northwest watersheds to wildfires (v2)

Dataset Li, Zhi ; Li, Bing ; Jiang, Peishi ; ...

This data package is associated with the publication “Evaluating Post-fire Watershed Response to Varying Burn Severity and Precipitation Regimes Using Fully-distributed and Integrated Hydrologic Models” submitted to Journal of Hydrology (Li et al. 2025). In this study, we employed the Advanced Terrestrial Simulator (ATS), an integrated watershed model that couples surface flow, subsurface flow, and canopy biophysical processes, to investigate post-fire hydrologic responses in a few selected watersheds with varying burn severity.The data package contains the required input data (meteorological forcing, Leaf Area Index, wildfire burn severities, etc.) to run the model, configuration files, the Jupyter notebooks in Python tomore »« less
Data and scripts associated with the manuscript "Organic Molecules are Deterministically Assembled in River Sediments"

Dataset Stegen, James C. ; Garayburu-Caruso, Vanessa A. ; Danczak, Robert E. ; ...

This data package is associated with the publication "Organic Molecules are Deterministically Assembled in River Sediments" submitted to Scientific Reports (Stegen et al., 2024). The study applies community ecology methods to dissolved organic matter (DOM) chemistry from variably inundated riverbed sediments to uncover principles governing DOM composition at a reach-scale. This data package documents the workflow used to process and generate the main findings in the manuscript. The R scripts reference the raw, unprocessed Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) data from another data package, available on ESS-DIVE at https://data.ess-dive.lbl.gov/view/doi:10.15485/1834208. The scripts then process the raw FTICR-MS datamore »« less

Similar Records