[Dataset] Mauz et al.: Improving the estimation of high natural luminescence doses using OTOR solutions for SAR-derived data

About Raw and processed data used for the publication by Mauz, Kreutzer, and Lawless (submitted to Geochronology). The ZIP-file is an RStudio project folder that can be used to re-run the analysis. Results from this analysis are shown in Table 2 and Figs 3, 4, 5, 6, 7, 8. Data structure Mauz_Kreutzer_Lawless_V1.zip 00_Data/├─ 00_Data.Rproj # RStudio project file to start├─ R_SessionInfo.txt # reproducibility snapshot (R version, packages)│├─ R/ # analysis R code│ ├─ Master_Analyser.R # master script; run in RStudio│ ├─ helpers.R # helper functions (file I/O, table cleaning)│ └─ sub‑folders (Alida/, Barbara/, Sebastian/, Simulation) with per‑sample scripts│├─ Alida_Data/ # data from Alida Tima-Gabor│ ├─ CSV/ # raw DRC output, LxTx tables, etc.│ ├─ PDF/ # per‑sample PDFs (dose‑response plots, DSE/OTOR/…)│ ├─ RAW/ # original Excel/auxiliary files│ └─ RData/ # intermediate R objects (.RData)│├─ Barbara_Data/ # data from Barbara Mauz │ ├─ BINX/ # binary files; the original measurement data│ ├─ CSV/ # raw DRC output, LxTx tables, etc.│ ├─ PDF/ # per‑sample PDFs (dose‑response plots, DSE/OTOR/…)│ └─ RData/ # intermediate R objects (.RData)(saved R objects)│├─ Sebastian_Data/ # data from Sebastian Kreutzer │ ├─ BINX/ # binary files; the original measurement data│ ├─ CSV/ # raw DRC output, LxTx tables, etc.│ ├─ PDF/ # per‑sample PDFs (dose‑response plots, DSE/OTOR/…)│ ├─ RData/ # intermediate R objects (.RData)│ └─ SEQ/ # original measurement sequences│├─ 4Publication_PDF_CSV/ # manuscript‑ready outputs/control outputs│ ├─ *.pdf # all figures (Histogram, ScatterPlots, Figure 3, etc.)│ ├─ *.csv # master tables used in the manuscript│ └─ Abanico4EquivalentDose/ # individual sample equivalent dose distribution plots│└─ Excel reference files (the input data for non-raw data input) └─ DRC_Alida+Barb.xlsx How to reproduce the processed data? Open the .RStudio project file in with RStudio Ensure that your R packages are of similar to the one stated in the R Session Information. Run R/Master_Analyser.R Check folder output. Please note that all files are overwritten automatically. Note Sometimes you will encounter numerical differences between published and recalculated data. This is normal and related to the random seed. We tried to fix this in the R script, but you may want to run this without a fixed seed. data_for Figures 1,2,9.zip Python code and data. Otor experiment_all data_final.xlsx XLSX table showing all data summarised in Table 2 and used for Fig. 3. Copyright information We distribute the data under CC-BY-NC licence conditions to render our analysis transparent and reproducible. However, the original data are not published here the first time. Data donated by Barbara Mauz and Sebastian Kreutzer are original data in parts already published. The data compiled in the folder Alida_Data are aggregated data provided kindly by Alida Timar-Gabor for our study. We obtained the consent of the respective data curators for storage in this repository.To better credit individual contributions, please see the table below. SAMPLES FOLDER TYPE REFERENCE Sbg 426 , Sbg 452, Sbg 453, Sbg, 457 Data_Barbara/ raw Original data provided by Mauz et al. (submitted) BAT_1.19A Data_Alida/ processed A. Avram et al., “Testing polymineral post-IR IRSL and quartz SAR-OSL protocols on Middle to Late Pleistocene loess at Batajnica, Serbia,” Boreas, vol. 49, no. 3, pp. 615–633, 2020, doi: 10.1111/bor.12442. XY575 Data_Alida/ processed A. Avram, D. Constantin, Q. Hao, and A. Timar-Gabor, “Optically stimulated luminescence dating of loess in South-Eastern China using quartz and polymineral fine grains,” Quaternary Geochronology, vol. 67, p. 101226, Feb. 2022, doi: 10.1016/j.quageo.2021.101226. Love7, Love6 Data_Alida/ processed A. Avram et al., “Revisiting the chronology of a key loess section in North America using multiple luminescence dating methods,” GSA Bulletin, vol. 137, no. 7–8, pp. 3207–3220, Mar. 2025, doi: 10.1130/B38165.1. Stayky Data_Alida/ processed D. Veres, V. Tecsa, N. Gerasimenko, C. Zeeden, U. Hambach, and A. Timar-Gabor, “Short-term soil formation events in last glacial east European loess, evidence from multi-method luminescence dating,” Quaternary Science Reviews, vol. 200, pp. 34–51, Nov. 2018, doi: 10.1016/j.quascirev.2018.09.037. BT844 Data_Sebastian/ raw S. Meszner, S. Kreutzer, M. Fuchs, and D. Faust, “Late Pleistocene landscape dynamics in Saxony, Germany: Paleoenvironmental reconstruction using loess-paleosol sequences,” Quaternary International, vol. 296, pp. 95–107, May 2013, doi: 10.1016/j.quaint.2012.12.040. BT753, BT754, BT755 Data_Sebastian/ raw M. Fuchs et al., “The loess sequence of Dolní Věstonice, Czech Republic: A new OSL‐based chronology of the last climatic cycle,” Boreas, vol. 42, no. 3, pp. 664–677, 2013, doi: 10.1111/j.1502-3885.2012.00299.x.Fuchs, M., Kreutzer, S., Rousseau, D.-D., Antoine, P., Hatté, C., Lagroix, F., Moine, O., Gauthier, C., Svoboda, J.& Lisá, L. (2023). [Luminescence Dataset] The loess sequence of Dolní Věstonice, Czech Republic: A new OSL‐based chronology of the last climatic cycle [Data set]. In Boreas (Version 1.0.0, Vol. 42, pp. 664–667). Zenodo. https://doi.org/10.5281/zenodo.8246533 CAC_2.1, CST_inf, M#6#, MST19, MV10, X153_A Data_Alida/ processed A. Timar-Gabor, S. Vasiliniuc, D. A. G. Vandenberghe, C. Cosma, and A. G. Wintle, “Investigations into the reliability of SAR-OSL equivalent doses obtained for quartz samples displaying dose response curves with more than one component,” Radiation Measurements, pp. 1–6, Jan. 2012, doi: 10.1016/j.radmeas.2011.12.001.