Using regular expression (regex), acronyms used in each specific paper were searched and converted back to the full form, and then morphology-related keywords in the paper were identified. Although acronyms of well-defined morphologies are already included in the keywords for search-based morphology extraction, this step was necessary due to confusing or overlapping acronyms. As an example, "AuNS" is used as an acronym for "gold nanosphere" in some cases and for "gold nanostar" in others, while "AuNR" is almost always detected and classified as "gold nanorod". To resolve this, text strings that initially defined an acronym, such as "AuNSs (Gold nanospheres)", were searched for throughout the paper using regex, and then all strings of "AuNS" in the paper were replaced with "Gold nanosphere". Then, the morphology detection algorithm seeks mentions of a pre-defined set of nanoparticle shapes (e.g. "nanosphere", "nanorod", "NR"). Many miscellaneous morphologies that are rare (e.g. nanopopcorn, nanoberries) are still included in this set of patterns but categorized as 'other' shapes. While non-Au NPs are filtered out, NP mentions with materials not specified are still detected as potential AuNP morphology. Instances involving unspecified shapes (referred to as 'NP', encompassing cases like 'nanocrystals' and 'nanoparticles') are considered low priority and are classified as such when no other specific shapes are explicitly mentioned in the paper. Then, we filtered out publications that have no AuNP morphologies. In cases that have only two morphologies including nanosphere, sphere is ignored because spheres are often mentioned either as the gold seed shape or as the byproduct. In this process, papers mentioning more than one anisotropic gold morphology were identified as having multiple syntheses and were filtered out.