This page 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 firstname.lastname@example.org.
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