Document Type



Virginia Institute of Marine Science

Publication Date


Data Access



This dataset contains the data and files from Santos 2017, Santos et al. 2018a, and Santos et al. 2018b. It is organized by chapters within the master’s thesis of Santos 2017, unless otherwise stated. The data from Santos et al. 2018a is predominantly within Chapter 1 files, including experimental data from the sea turtle decay and drifter release studies, as well as the raw results and other datafiles from the general 2001-2005 sea turtle carcass drift simulation model. The data from Santos et al. 2018b can be found mostly within the Chapter 2 files, including the raw results and other datafiles from the further developed sea turtle carcass drift simulation tool, and the comparisons of predicted mortality locations with anthropogenic causes. The supplement materials comparing the model results with the experimental drifter data from Santos et al. 2018b is also included in a separate subfolder. File types mostly include .xlsx, .doc, .nc, .R, .RDS, .shp and .csv files, all of which can be read by Rscript or Microsoft Office. Photos from the decay study are in .jpg format.

Detailed file inventory is available in the downloadable metatdata file.



sea turtle mortality, sea turtle decay, oceanographic simulations, sea turtle carcass drift model

Associated Publications

Santos, B.S., Kaplan, D.M., Friedrichs, M.A.M., Barco, S.G., Mansfield, K.L., Manning, J.P. 2018a. Consequences of drift and carcass decomposition for estimating sea turtle mortality hotspots. Ecological Indicators 84:319-336.

Santos, B.S., Friedrichs, M.A.M., Rose, S., Barco, S.G., Kaplan, D.M. 2018b. Likely locations of sea turtle stranding mortality using experimentally-calibrated, time and space-specific drift models. Biological Conservation 226:127-143.

Santos, B.S. 2017. Integrating Empirical Data and Ocean Drift Models to Better Understand Sea Turtle Strandings in Virginia. Master’s Thesis, College of William and Mary, Virginia Institute of Marine Science, Paper 1516639566.


A variety of funding sources helped make this research possible, including, the Virginia Institute of Marine Science, College of William and Mary’s Green Fee Funding, Virginia Sea Grant, and the Dominion Foundation. This work was performed [in part] using computing facilities at the College of William and Mary which were provided by contributions from the National Science Foundation, the Commonwealth of Virginia Equipment Trust Fund and the Office of Naval Research.