This dataset was generated for an experiment to determine if a machine learning model can predict the rheological flow behavior of a material, using only a photo of a test print pattern and the relevant print process parameters. Details of the experiment and how the data was generated can be found in our in Advanced Intelligent Systems (https://doi.org/10.1002/aisy.202400293). This dataset contains Herschel-Bulkley rheological data on 15 materials used in Direct-Ink-Write 3D printing. Each material was printed in a test print pattern which was photographed, and has its own table of print data and links to the segmented pattern. The code used to process the data is also included. DISTRIBUTION STATEMENT A: Approved for public release: distribution unlimited. AFRL-2024-6234