This storage contains the supplementary materials underlying [**Lim, O'Brien, & Onnis (2023)**][3] — *Orthography-phonology consistency in English: Theory- and data-driven measures and their impact on auditory vs. visual word recognition*, all openly accessible in this repository. Materials are available as follows: 1. The file **corpus.xlsx** contains the full list of words and their respective MSEs, phoneme sequences, frequency, subsyllabic and composite consistency measures. 2. The file **phonological_features.xlsx** contains the list of phonemes and their respective phonological features adapted from [PHOIBLE][1]. 3. The files **model_reading.tcl** and **model_spelling.tcl** contain the Lens source code of the reading and spelling models, respectively. 4. The file **ELP_nmg.xlsx** contains naming data from the English Lexicon Project (ELP; Balota et al., 2007). 5. The file **ELP_ldt.xlsx** contains visual lexical decision data from the English Lexicon Project (ELP; Balota et al., 2007). 6. The file **MALD_ldt.Rda** contains auditory lexical decision data from the Massive Auditory Lexical Decision Project (MALD, version 1.1; Tucker et al., 2019). 7. Our [**GitHub repository**][2] contains step-by-step tutorials on how to install Lens, train reading and spelling models in Lens, build example files from training datasets, and create vowel-centred slot-based orthographic and phonological vectors. [1]: https://phoible.org/ [2]: https://github.com/alfred-lim/BiPDP [3]: https://doi.org/10.3758/s13428-023-02094-5