Data for: Representation in sea turtle science: slow progress towards gender equity and globalization revealed from thirty years of symposium abstracts

Sea turtles are a circumglobal taxon that receive considerable research attention, yet there is little information about the demographics of sea turtle researchers. To assess long-term trends in demographic, geographic, and institutional representation within the sea turtle community, we quantified information from 7041 abstracts presented at the International Sea Turtle Symposium (ISTS) between 1988–2018. The dataset from this study is presented here., Data Source
The first ISTS occurred in 1980 and has been repeated annually until 2020, when subsequent events were put on hold due to the COVID-19 pandemic. The first seven meetings were based around informal discussions and meetings. Since 1988, however, the event has followed a more structured format based around several days of short presentations (8-20 mins each). The “Book of Abstracts” from these presentations are published after each symposium and made available at https://www.internationalseaturtlesociety.org/publications/proceedings/ or https://repository.library.noaa.gov/.
We gleaned data from every abstract presented in the annual Book of Abstracts between the 8th ISTS in 1988 and the 30th in 2018 (for full references see Supplementary Materials 1). However, we did not compile any data from the 32nd, 35th, 37th, and 39th ISTS as the official Book of Abstracts for these events were not publicly available at the time of writing this manuscript. We only report on data that was s..., , # Data for: Representation in sea turtle science: slow progress towards gender equity and globalization revealed from thirty years of symposium abstracts

<https://doi.org/10.5061/dryad.tmpg4f518>

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## Description of the data and file structure

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Data was derived from the followi..., The database includes the names of authors who published abstracts in International Sea Turtle Symposiums. As this information is consolidated from information that is already in the public domain, I believe the dataset is suitable for publication.