Earth System Science Data (May 2021)
SoDaH: the SOils DAta Harmonization database, an open-source synthesis of soil data from research networks, version 1.0
- W. R. Wieder,
- W. R. Wieder,
- D. Pierson,
- D. Pierson,
- S. Earl,
- K. Lajtha,
- S. G. Baer,
- S. G. Baer,
- F. Ballantyne,
- A. A. Berhe,
- S. A. Billings,
- S. A. Billings,
- L. M. Brigham,
- L. M. Brigham,
- S. S. Chacon,
- S. S. Chacon,
- J. Fraterrigo,
- S. D. Frey,
- K. Georgiou,
- K. Georgiou,
- M.-A. de Graaff,
- A. S. Grandy,
- M. D. Hartman,
- M. D. Hartman,
- S. E. Hobbie,
- C. Johnson,
- J. Kaye,
- E. Kyker-Snowman,
- M. E. Litvak,
- M. C. Mack,
- A. Malhotra,
- J. A. M. Moore,
- K. Nadelhoffer,
- C. Rasmussen,
- W. L. Silver,
- B. N. Sulman,
- X. Walker,
- S. Weintraub
Affiliations
- W. R. Wieder
- Institute of Arctic and Alpine Research, University of Colorado Boulder, CO, USA
- W. R. Wieder
- Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
- D. Pierson
- Department of Crop and Soil Sciences, Oregon State University, Corvallis, OR, USA
- D. Pierson
- Department of Biological Sciences, Idaho State University, Pocatello, ID, USA
- S. Earl
- Global Institute of Sustainability, Arizona State University, Tempe, AZ, USA
- K. Lajtha
- Department of Crop and Soil Sciences, Oregon State University, Corvallis, OR, USA
- S. G. Baer
- Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, USA
- S. G. Baer
- Kansas Biological Survey, University of Kansas, Lawrence, KS, USA
- F. Ballantyne
- Odum School of Ecology, University of Georgia, Athens, GA, USA
- A. A. Berhe
- Department of Life and Environmental Sciences, University of California, Merced, CA, USA
- S. A. Billings
- Kansas Biological Survey, University of Kansas, Lawrence, KS, USA
- S. A. Billings
- Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, USA
- L. M. Brigham
- Institute of Arctic and Alpine Research, University of Colorado Boulder, CO, USA
- L. M. Brigham
- Department of Ecology and Evolutionary Biology and Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO, USA
- S. S. Chacon
- Department of Crop and Soil Sciences, Oregon State University, Corvallis, OR, USA
- S. S. Chacon
- Climate and Ecosystem Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- J. Fraterrigo
- Department of Natural Resources and Environmental Sciences, University of Illinois, Urbana, IL, USA
- S. D. Frey
- Department of Natural Resources and the Environment, University of New Hampshire, Durham, NH, USA
- K. Georgiou
- Department of Earth System Science, Stanford University, Stanford, CA, USA
- K. Georgiou
- Lawrence Livermore National Laboratory, Livermore, CA, USA
- M.-A. de Graaff
- Department of Biological Sciences, Boise State University, Boise, ID, USA
- A. S. Grandy
- Department of Natural Resources and the Environment, University of New Hampshire, Durham, NH, USA
- M. D. Hartman
- Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder CO, USA
- M. D. Hartman
- Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, USA
- S. E. Hobbie
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, USA
- C. Johnson
- Department of Civil and Environmental Engineering, Syracuse University, Syracuse, NY, USA
- J. Kaye
- Department of Ecosystem Science and Management, The Pennsylvania State University, University Park, PA, USA
- E. Kyker-Snowman
- Department of Natural Resources and the Environment, University of New Hampshire, Durham, NH, USA
- M. E. Litvak
- Department of Biology, University of New Mexico, Albuquerque, NM, USA
- M. C. Mack
- Center for Ecosystem Science and Society and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA
- A. Malhotra
- Department of Earth System Science, Stanford University, Stanford, CA, USA
- J. A. M. Moore
- Bioscience Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
- K. Nadelhoffer
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA
- C. Rasmussen
- Department of Environmental Science, The University of Arizona, Tucson, AZ, USA
- W. L. Silver
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, USA
- B. N. Sulman
- Climate Change Science Institute and Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
- X. Walker
- Center for Ecosystem Science and Society and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA
- S. Weintraub
- National Ecological Observatory Network, Battelle, Boulder, CO, USA
- DOI
- https://doi.org/10.5194/essd-13-1843-2021
- Journal volume & issue
-
Vol. 13
pp. 1843 – 1854
Abstract
Data collected from research networks present opportunities to test theories and develop models about factors responsible for the long-term persistence and vulnerability of soil organic matter (SOM). Synthesizing datasets collected by different research networks presents opportunities to expand the ecological gradients and scientific breadth of information available for inquiry. Synthesizing these data is challenging, especially considering the legacy of soil data that have already been collected and an expansion of new network science initiatives. To facilitate this effort, here we present the SOils DAta Harmonization database (SoDaH; https://lter.github.io/som-website, last access: 22 December 2020), a flexible database designed to harmonize diverse SOM datasets from multiple research networks. SoDaH is built on several network science efforts in the United States, but the tools built for SoDaH aim to provide an open-access resource to facilitate synthesis of soil carbon data. Moreover, SoDaH allows for individual locations to contribute results from experimental manipulations, repeated measurements from long-term studies, and local- to regional-scale gradients across ecosystems or landscapes. Finally, we also provide data visualization and analysis tools that can be used to query and analyze the aggregated database. The SoDaH v1.0 dataset is archived and available at https://doi.org/10.6073/pasta/9733f6b6d2ffd12bf126dc36a763e0b4 (Wieder et al., 2020).
