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. 2022 May 21;14:69. doi: 10.1186/s13195-022-01009-4

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — Using ADataViewer to identify suitable cohort datasets in a use case scenario. Selection of this case scenario was with the aim to evaluate cognitive decline in the light of depression, AV PET, and hippocampal atrophy. All graphs were created using the tools of ADataViewer. A Excerpt of the ranking received by entering the variables of interest specified in application scenario 1 into the StudyPicker. B Longitudinal coverage of the specified variables in the NACC cohort. See Fig. S1 for the other cohorts’ plots. C Comparison of the age distributions encountered across diagnostic groups of ADNI and NACC