Replication Data for: NPJ Unconventional Computing Submission "Reliability challenges for resistive random-access memory-based parallel logic computing"doi:10.26165/JUELICH-DATA/XKYQVKJülich DATA2025-12-161Brackmann, Leon, 2025, "Replication Data for: NPJ Unconventional Computing Submission "Reliability challenges for resistive random-access memory-based parallel logic computing"", https://doi.org/10.26165/JUELICH-DATA/XKYQVK, Jülich DATA, V1Replication Data for: NPJ Unconventional Computing Submission "Reliability challenges for resistive random-access memory-based parallel logic computing"doi:10.26165/JUELICH-DATA/XKYQVKBrackmann, LeonJülich DATAMenzel, StephanBrackmann, Leon2025-12-16Computer and Information ScienceThe dataset contains all raw data and python scripts (.py) for creating the figures Fig. 3 - Fig. 6 in the main manuscript "Reliability challenges for resistive random-access memory-based parallel logic computing" and the Fig. S3 in the corresponding supplementary information. The data is structured in subfolders according to the individual figures. Please note that Fig.3 and Fig. 4 b-d of the main manuscript operate on the same data. Therefore, the raw data files from subfolder Fig.3 have to be copied in the Fig. 4 subfolder prior to execution.CC0 WaiverNPJ.zipData includes Fig. 3 - Fig. 6 of main manuscript and Fig. 3 of supplementaryapplication/zip