Data from: Long-term changes in soil carbon and nitrogen fractions in switchgrass, native grasses, and no-till corn bioenergy production systems
Abstract
These files contain data from soil and root samples use in this publication. The R script uses this data to perform the statistical analysis used in the publication.
- Authors:
-
- GLBRC - Michigan State University
- Publication Date:
- DOE Contract Number:
- SC0018409
- Research Org.:
- Great Lakes Bioenergy Research Center (GLBRC), Madison, WI (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Subject:
- Bioenergy feedstock; Panicum virgatum; Zea mays; biofuel cropping system experiment; biofuel feedstocks; earth and related environmental sciences; mineral-associated organic matter; native grasses; particulate organic matter; root productivity; soil aggregate; soil carbon; soil nitrogen
- OSTI Identifier:
- 3003536
- DOI:
- https://doi.org/10.5061/dryad.547d7wmf3
Citation Formats
Robertson, G. Philip. Data from: Long-term changes in soil carbon and nitrogen fractions in switchgrass, native grasses, and no-till corn bioenergy production systems. United States: N. p., 2023.
Web. doi:10.5061/dryad.547d7wmf3.
Robertson, G. Philip. Data from: Long-term changes in soil carbon and nitrogen fractions in switchgrass, native grasses, and no-till corn bioenergy production systems. United States. doi:https://doi.org/10.5061/dryad.547d7wmf3
Robertson, G. Philip. 2023.
"Data from: Long-term changes in soil carbon and nitrogen fractions in switchgrass, native grasses, and no-till corn bioenergy production systems". United States. doi:https://doi.org/10.5061/dryad.547d7wmf3. https://www.osti.gov/servlets/purl/3003536. Pub date:Thu Aug 24 04:00:00 UTC 2023
@article{osti_3003536,
title = {Data from: Long-term changes in soil carbon and nitrogen fractions in switchgrass, native grasses, and no-till corn bioenergy production systems},
author = {Robertson, G. Philip},
abstractNote = {These files contain data from soil and root samples use in this publication. The R script uses this data to perform the statistical analysis used in the publication.},
doi = {10.5061/dryad.547d7wmf3},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Aug 24 04:00:00 UTC 2023},
month = {Thu Aug 24 04:00:00 UTC 2023}
}
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