More information is available at naturalhistoryofsong.org. You can play games using NHS audio at themusiclab.org, read a preprint at psyarxiv.com/emq8r/, and check out code at github.com/themusiclab/nhs. The Data and Materials component contains data and materials for the Natural History of Song project (Mehr et al., 2019, Science). The Data and Materials availability statement from the paper is copied below: >All Natural History of Song data and materials are publicly archived at http://osf.io/jmv3q, with the exception of the full audio recordings in the NHS Discography, which are available via the Harvard Dataverse, at https://doi.org/10.7910/DVN/SESAO1. All analysis scripts are available at http://github.com/themusiclab/nhs. Human Relations Area Files data and the eHRAF World Cultures database are available via licensing agreement at http://ehrafworldcultures.yale.edu; the document- and paragraph-wise word histograms from the Probability Sample File were provided by the Human Relations Area Files under a Data Use Agreement. The Global Summary of the Year corpus is maintained by the National Oceanic and Atmospheric Administration, United States Department of Commerce, and is publicly available at https://www.ncei.noaa.gov/data/gsoy/. Codebooks are available in Mehr et al. (2019). An online version of the codebook is at https://docs.google.com/spreadsheets/d/1HabkzGBM2GFbP9LSBvF1NpDqYKs7yeHRsBmBdCfVx9Q/edit?usp=sharing The 14-second excerpts of the *NHS Discography* songs that were analyzed in Mehr & Singh et al. (2018, Curr Bio) are available at https://osf.io/vcybz/. Citation information for all audio sources is in `NHSDiscography_Metadata.csv`. The folders **Datasets** and **Transcriptions** contain NHS-specific raw data. For convenience, we also included `zip` versions of both. `Transcriptions_all.zip` also includes draft transcriptions as well as other file formats for the transcriptions, including `musicXML` and ngram files. If you have any questions about how to use the data or materials posted here, please contact Sam Mehr at sam@wjh.harvard.edu.