TRISTAN: Raw DICOM Archives for Preclinical Drug-Interaction Studies in Rats

TRISTAN: Preclinical Rat MRI (Raw DICOM) This record contains original, unprocessed DICOM data from 15 preclinical rat studies (S01–S15) conducted within the TRISTAN project. Each study investigates drug–drug interactions or protocol effects under controlled conditions. Files are distributed as ZIP archives per study. DOI: 10.5281/zenodo.17178063 Included studies S01 – tristan_rats_study_01_rifampicin_effect_size S02 – tristan_rats_study_02_rifampicin_effect_size S03 – tristan_rats_study_03_rifampicin_effect_size S04 – tristan_rats_study_04_rifampicin_effect_size S05 – tristan_rats_study_05_single_asunaprevir S06 – tristan_rats_study_06_single_pioglitazone S07 – tristan_rats_study_07_single_ketoconazole S08 – tristan_rats_study_08_single_cyclosporine S09 – tristan_rats_study_09_single_bosentan_high S10 – tristan_rats_study_10_single_bosentan S11 – tristan_rats_study_11_chronic_bosentan_placebo S12 – tristan_rats_study_12_single_rifampicin S13 – tristan_rats_study_13_field_strength S14 – tristan_rats_study_14_chronic_rifampicin_placebo S15 – tristan_rats_study_15_chronic_cyclosporine_placebo File structure. Each study ZIP contains nested ZIPs named like SXX_RatYY_DayZ.zip, i.e., scans from one rat on a given day. Data are raw DICOM only—no preprocessing. Quick start (manual) Download the study ZIP(s) you need (e.g., S01.zip). Unzip; inside you’ll find multiple inner ZIPs per rat/day. Unzip those to access the DICOM series. Programmatic download (Python) Use the tristan.rat_fetch function in the open-source miblab-data package to download, optionally recursively unzip, and (optionally) convert to NIfTI. Related analyses and figures Reproducible analysis code and generated figures: https://github.com/openmiblab/tristan-rat-analysis Citation Please cite this dataset as: Teh, K., Sourbron, S., and the TRISTAN Consortium (2025). TRISTAN: Preclinical rat MRI (raw DICOM). Zenodo. https://doi.org/10.5281/zenodo.17178063 License CC BY 4.0 — You are free to share and adapt the material with appropriate credit. Contact Kevin Teh University of Sheffield, Division of Clinical Medicine [e-mail]