Use our data for synthesis or re-analysis!

For the last few years we’ve been committed to making our data, code and metadata available in the public domain for re-use without any obligation to include us. We recognize the importance of having all of our observations available for synthesis efforts. Equally, if you feel our data should have been analyzed differently, and wish to challenge or build on our conclusions, we welcome such opportunities as an important part of the scientific process to ensure knowledge generation moves forward as efficiently and effectively as possible. No paper is perfect and plurality is the hallmark of good science.

Below are links to some of our datasets. But for efficiency, in general if you are looking for data and code for a specific paper,  please go to the primary paper and scroll to the section in the end which will direct you to the open access database where our data are deposited. You should be able to directly access them or search for them via their DOI.


Ward, E. B., M. C. Duguid, S. E. Kuebbing, J. L. Lendemer, R. J. Warren, M. A. Bradford (2021). Data from: Ericoid mycorrhizal shrubs alter the relationship between tree mycorrhizal dominance and soil carbon and nitrogen. Dryad Digital Repository

Ward, E. B., D. A. Doroski, A. J. Felson, R. A. Hallet, E. E. Oldfield, S. E. Kuebbing, M. A. Bradford (2021). Data from: Positive long-term impacts of restoration on soils in an experimental urban forest. Dryad Digital Repository


Bradford, M. A., R. L. McCulley, T. W. Crowther, E. E. Oldfield, S. A. Wood, and N. Fierer (2019) Data from: Cross-biome patterns in soil microbial respiration predictable from evolutionary theory on thermal adaptation. Dryad Digital Repository


Emily Oldfield, Mark Bradford, and Stephen Wood. (2018) Yield and SOC data from published studies. Knowledge Network for Biocomplexity


Bradford, M. A., G. F. Veen, A. Bonis, E. M. Bradford, A. T. Classen, J. H. C. Cornelissen, T. W. Crowther, J. R. De Long, G. T. Freschet, P. Kardol, M. Manrubia-Freixa, D. S. Maynard, G. S. Newman, R. S. P. Logtestijn, M. Viketoft, D. A. Wardle, W. R. Wieder, S. A. Wood, and W. H. van der Putten. (2017) Data from: A test of the hierarchical model of litter decomposition. Dryad Digital Repository

Kuebbing SE, Maynard DS, Bradford MA (2017) Data from: Linking functional diversity and ecosystem processes: a framework for using functional diversity metrics to predict the ecosystem impact of functionally unique species. Dryad Digital Repository


Bradford MA, Berg B, Maynard DS, Wieder WR, Wood SA (2015) Data from: Understanding the dominant controls on litter decomposition. Dryad Digital Repository