Data for: Miscanthus × giganteus changes soil structure and increases maximum water holding capacity
Abstract
The data provided include results from a comparative study evaluating the impact of Miscanthus × giganteus (miscanthus) versus maize on soil structural properties and maximum water holding capacity (MWHC) across two Iowa sites. The dataset includes MWHC values determined using the Funnel Filter Paper Drainage (FFPD) method, as well as additional measurements of MWHC following structural disruption of the soil to isolate the effect of aggregation. It also contains three-dimensional micro-computed tomography (microCT) data used to quantify total porosity and pore size distribution (PSD) of soil aggregates at a 5 µm resolution. All data are provided as raw replicate-level measurements, organized by site, crop, and depth, along with processed summary files in table form in CSV (.csv) format to support reproducibility and downstream analysis.
- Authors:
-
- Department of Agronomy, Iowa State University, Ames, Iowa, USA; Center for Advanced Bioenergy and Bioproducts Innovation
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, Michigan, USA; School of Chemical, Biological and Environmental Engineering, Oregon State University, Corvallis, Oregon, USA
- Department of Agronomy, Iowa State University, Ames, Iowa, USA; Center for Advanced Bioenergy and Bioproducts Innovation, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
- School of Earth, Environmental, and Marine Sciences, The University of Texas Rio Grande Valley, Edinburg, Texas, USA
- Publication Date:
- DOE Contract Number:
- SC0018420
- Research Org.:
- Center for Advanced Bioenergy and Bioproducts Innovation (CABBI) (CABBI)
- Sponsoring Org.:
- U.S. Department of Energy (DOE); USDA National Institute of Food and Agriculture, Hatch Multistate project; Vaadia-BARD Postdoctoral Fellowship Award
- Subject:
- Misanthus x giganteus; Porosity; Soil Aggregates; Soil Structure; Water Holding Capacity
- OSTI Identifier:
- 3012117
- DOI:
- https://doi.org/10.25380/iastate.30233887
Citation Formats
Nelson, Jessica T., Dor, Maoz, VanLoocke, Andy D., Studt, Jacob E., Schrock, Perla K., and McDaniel, Marshall D. Data for: Miscanthus × giganteus changes soil structure and increases maximum water holding capacity. United States: N. p., 2025.
Web. doi:10.25380/iastate.30233887.
Nelson, Jessica T., Dor, Maoz, VanLoocke, Andy D., Studt, Jacob E., Schrock, Perla K., & McDaniel, Marshall D. Data for: Miscanthus × giganteus changes soil structure and increases maximum water holding capacity. United States. doi:https://doi.org/10.25380/iastate.30233887
Nelson, Jessica T., Dor, Maoz, VanLoocke, Andy D., Studt, Jacob E., Schrock, Perla K., and McDaniel, Marshall D. 2025.
"Data for: Miscanthus × giganteus changes soil structure and increases maximum water holding capacity". United States. doi:https://doi.org/10.25380/iastate.30233887. https://www.osti.gov/servlets/purl/3012117. Pub date:Mon Oct 06 20:00:00 EDT 2025
@article{osti_3012117,
title = {Data for: Miscanthus × giganteus changes soil structure and increases maximum water holding capacity},
author = {Nelson, Jessica T. and Dor, Maoz and VanLoocke, Andy D. and Studt, Jacob E. and Schrock, Perla K. and McDaniel, Marshall D.},
abstractNote = {The data provided include results from a comparative study evaluating the impact of Miscanthus × giganteus (miscanthus) versus maize on soil structural properties and maximum water holding capacity (MWHC) across two Iowa sites. The dataset includes MWHC values determined using the Funnel Filter Paper Drainage (FFPD) method, as well as additional measurements of MWHC following structural disruption of the soil to isolate the effect of aggregation. It also contains three-dimensional micro-computed tomography (microCT) data used to quantify total porosity and pore size distribution (PSD) of soil aggregates at a 5 µm resolution. All data are provided as raw replicate-level measurements, organized by site, crop, and depth, along with processed summary files in table form in CSV (.csv) format to support reproducibility and downstream analysis.},
doi = {10.25380/iastate.30233887},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Oct 06 20:00:00 EDT 2025},
month = {Mon Oct 06 20:00:00 EDT 2025}
}
