A [DMCC][1] wave includes three scanning sessions. Structural scans are usually acquired in the first (baseline) session. If these are not rated of sufficient quality, the structurals are repeated at the beginning of a later session and the higher rated scans used in preprocessing. We use the [HCP/CCF][2] structural rating system, as described in the StructuralTrainingSlides.pptx (“[CCF Structural QC Training][3]” 3) made by [Erin Reid][4]. Ratings are on a 4-point scale, where 1 is Poor (don't use), 2 is Fair (don't use), 2.5 is Good/Fair borderline (use if necessary), 3 is Good (use), and 4 is Excellent (use). Of the 55 people in the [DMCC55B dataset][5], in 13 cases we judged the structurals from a later session to be of higher quality than the first, and these non-baseline `anat` are included in the [released dataset][6]. To be clear, these (at [openneuro][7]) are the T1 and T2 scans we used (and recommend using) for DMCC55B preprocessing. However, we have received several requests for the participant's *other* structural images, the ones we rated as lower quality and so omitted. These lower-quality images may be useful, particularly as training examples. Thus, this osf component has the T1 and T2-weighted structural scans which **were not used** for [DMCC55B][8] because they were rated as lower quality than those acquired at a subsequent scanning session. The ratings (and notes, if applicable) given to each image are in the files for this component: https://osf.io/xyuac/ for the rejected structurals and https://osf.io/p53kc/ for the ones used. Note that the DMCC55B subject IDs here match the [released dataset][9], but the session name is "doNotUse" and the files are not fully in the BIDS format to minimize the chance of accidentally using these images for preprocessing. [1]: https://sites.wustl.edu/dualmechanisms/ [2]: https://humanconnectome.org/ [3]: https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwjk7e335eb3AhUYHM0KHWz-Dd0QFnoECAUQAQ&url=https://cfn.upenn.edu/aguirre/wiki/lib/exe/fetch.php?media=private:jack_ryan_notebook:2016:ccf-strcqc-training.pptx&usg=AOvVaw07fkMGAp3DvBXK9Gjd1vqk [4]: https://neuroscience.wustl.edu/people/erin-reid/ [5]: http://dx.doi.org/10.1038/s41597-022-01226-4 [6]: https://openneuro.org/datasets/ds003465/ [7]: https://openneuro.org/datasets/ds003465/ [8]: https://openneuro.org/datasets/ds003465/ [9]: https://openneuro.org/datasets/ds003465/