Image collection 10.18116/C6C592
UMass/CANDI Image Attributation Framework, 2016
DOI 10.18116/C6C592
If you are citing this data because of one of the references below, please cite the reference of interest. If you are citing this data in its own right (independent of any of the references below), we suggest the following citation: David Kennedy (2017): ReproNim Simple Workflow test dataset. ReproNim. http://doi.org/10.18116/C6C592.
| Description | PubMed ID | Publication DOI | Funder | Authors |
|---|---|---|---|---|
| In this study, we document a set of procedures, which include supplemental additions to a manuscript, that unambiguously define the data, workflow, execution environment and results of a neuroimaging analysis, in order to generate a verifiable re-executable publication. Re-executability provides a starting point for examination of the generalizability and reproducibility of a given finding. | 10.12688/f1000research.10783.1 | NIH NIMH |
Ghosh, Satrajit S
Poline, Jean-Baptiste Keator, David B Halchenko, Yaroslav O Thomas, Adam G Kessler, Daniel A Kennedy, David N |
DOIs for the individual constituent images of this collection are in progress at NITRC-IR and will be included here as they are available.
