Fine-scale habitat partitioning of sympatric stingrays revealed by drone-based remote sensing and deep learning

This dataset contains the data associated with the article: Nieuwenhuis, Brian O., Charlotte Turlier, Ioana-Andreea Ciocănaru, Benja Blaschke, Malika Kheireddine, Guido Leurs, Jesse E. M. Cochran, Laura L. Govers, and Burton H. Jones. 2026. "Fine-scale habitat partitioning of sympatric stingrays revealed by drone-based remote sensing and deep learning". In this study we investigated stingray habitat partitioning in a coastal lagoon in the central Red Sea through drone-based surveys. We conducted 30 aerial transect surveys (~17 ha each) and actively tracked 40 rays and 1 shark (total tracking time > 23h). This dataset contains all raw drone imagery from these surveys (77,712 tracking images and 32,216 transect images), a subset of 3,683 annotated images in YOLO format, and all other data associated with the manuscript. The datasets contains the following folders/files, the contents of which are explained in the included readme.txt file: - Core_data_Nieuwenhuisetal_Drone_Rays.xlsx - Annotated_YOLO_Dataset.zip - Appendix_E_Videos.zip - Images_SfMSurveys.zip - Images_TrackingSurveys.zip - Images_TransectSurveys.zip - Python_codes.zip - Reflectance_maps.zip Download All files Link to Globus download directory Access to these files is temporarily restricted. The file will become available to the public after the expiration of the embargo on 2026-12-1. For download instructions and more information about GlobusRetrieve Data: Large Files (from Globus)