Here we provide data and scripts relevant for the paper: Boch, M., Wagner, I.C., Karl, S., Huber* and L., Lamm*, C. (2023). Functionally analogous body- and animacy-responsive areas are present in the dog (*Canis familiaris*) and human occipito-temporal lobe, Communications Biology 6, 645. doi:10.1038/s42003-023-05014-7 **Link to open access paper**: https://www.nature.com/articles/s42003-023-05014-7 **Raw dog neuroimaging data available at**: https://doi.org/10.5281/zenodo.7691966 **File / folder descriptions** ***average structural Niftis***: to serve as background images to overlay e.g. group or overlap maps on (e.g. using MRIcron or nilearn) ***whole-brain univariate***: contains group beta maps for visual stimulation contrast (all conditions > implicit baseline; data from run 1) and the complementary whole-brain repeated measurements ANOVA mirroring the fROI analysis ***fROI***: functional region-of-interest, raw data and R scripts to plot and analyze data are provided in folder "fROI_raw-data_data_Rscripts" Matlab scripts to create fROIs within anatomical search spaces and to extract activation levels are available on Github https://github.com/magdalenaboch/fROI-analysis ***fROI overlap***: overlap of individual fROIs (created based on top-10% active voxels) across participants (separate for dogs, humans) ***fROI descriptives***: overview of active voxels within search spaces and individual fROI sizes for all percentages to define fROIs (i.e., 1 % and 5% to 100% in steps of 5; separate for dogs, humans) ***RSA***: representational similarity analysis, group maps were corrected for multiple comparisons using the SnPM13 toolbox (http://nisox.org/Software/SnPM13/) Matlab code to run whole-brain searchlight RSA is available on Github: https://github.com/isabellawagner/searchlight-rsa ***sample descriptives***: contains descriptive data, i.e. age, sex, breed (if applicable) etc for human and dog sample (.json files contain variable descriptions)