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  • Carbon decomposition and nitrogen mineralization in Marsden agroecosystem diversification experiment
  • Wenjuan, Huang; Iowa State University
    Steven, Hall J; University of Wisconsin–Madison
    Yi, Bo; Iowa State University
    Matt, Liebman
    Marshall, McDaniel
    Chaoqun, Lu
    Andy, Vanloocke
    Sotirios, Archontoulis
    Bryan, Petersen
    Siyang, Jian
    Hanna, Poffenbarger
    Gangsheng, Wang
    Yiqi, Luo
  • 2024-07-22
  • Wenjuan, H., H.J. Steven, B. Yi, L. Matt, M. Marshall, L. Chaoqun, V. Andy, A. Sotirios, P. Bryan, J. Siyang, P. Hanna, W. Gangsheng, and L. Yiqi. 2024. Carbon decomposition and nitrogen mineralization in Marsden agroecosystem diversification experiment ver 2. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-29).
  • This dataset comprises measurements related to soil carbon decomposition from different soil depths in 36 soils during a laboratory incubation experiment. These soil samples were collected from a long-term agroecosystem diversification experiment initiated in 2002 at Iowa State University’s Marsden Farm. The dataset includes laboratory-measured soil organic carbon (SOC) content, CO2 fluxes from SOC decomposition, and nitrogen mineralization rates. Additionally, it also includes model simulation results about soil carbon decomposition represented by three different process-based models: CN-SIM, Agro-IBIS, and MEND.

  • N: 42.01      S: 42.01      E: -93.47      W: -93.47
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
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