Sea turtles captured in various fishing gear (pound nets, long haul seines, gill nets) were outfitted with satellite transmitters so that their movements, migratory pathways and foraging behavior could be tracked. Despite their greater expense, satellite transmitters enable the researcher to determine long-range movements of sea turtles in comparison to acoustic and radio transmitters which delineate fine scale movements and habitat preferences. Furthermore, satellite transmitters have the capability of measuring and recording water temperature along with dive depth and duration of each tagged sea turtle. Finally, time spent on the surface can be measured and recorded.

Radio transmitters attached to sea turtles captured in various fishing gear enabled us to track and measure surfacing time of each turtle. Determining location of each turtle required detection and direction (bearing) of radio signals simultaneously by two or more receivers in the area. From these bearings, the animal's location is determined via triangulation. Furthermore, because radio signals only transmit in the air, duration of detected signals can be used to determine length of time turtles were spending on the surface of the water.

This data contains acoustic tag readings that were attached to sea turtles that were captured in various fishing gears. These sea turtles were either actively or passively tracked to record movement and determine habitat preference. This data set also contains radio telemetry data from one sea turtle that was tracked by both radio and acoustic telemetry

Seasonal capture efforts were conducted to evaluate patterns of catch rates, species and size compisition. Acoustic and satellite telemetry were used to evaluate residency, movements, and dive behavior. AUV-borne sidescan sonar surveys were conducted at the peak of sea turtle abundance on the spring.

Since 2009 PSB has been collecting satellite tag telemetry data from sea turtles and other protected species.

The objectives of this project are to use novel satellite tracking methods to provide improved estimation of threats at foraging areas and along migration routes for oceanic stage sea turtles in the Northeast Distant Region of the Atlantic Ocean (NED) and to characterize the in-water habitats used by small, oceanic stage loggerheads (Caretta caretta) so that we better understand the features that likely define their nursery habitats and the potential risks and hazards to the smallest life stages of sea turtle. To accomplish these objectives, our strategy included collaborating with cooperative fishermen in the NED to capture and satellite tag small (30 cm length) loggerhead sea turtles. Using novel satellite telemetry techniques, we were to identify the fine-scale habitat selection, movements, and dispersal of small oceanic loggerheads in the NED.

The database is a summary of sea turtles that are hook and line captured by recreational anglers in the region covered by the NOAA Galveston Laboratory through its work as the local representative of the Southeast Fisheries Science Centers Sea Turtle Stranding and Salvage Network. The database cotains: morphometric data on sea turtles caught type of gear on which sea turtle was caught whether the sea turtle was rehabilitated and released or died tag information.

This dataset includes processed satellite tracking data collected from green turtles between July 2002 and October 2020 in the Gulf of Mexico. Tracks were located along the west coast of Florida from the Florida Keys to the Gulf Islands National Seashore. Output from the state-space model (SSM) described in Lamont et al. (2023) is included, as are inter-nesting and foraging centroids calculated using kernel density estimates and minimum convex polygons.

This data contains one comma-delimited file with data collected from dive-logging satellite tags placed on loggerhead sea turtles in the Gulf of Mexico. Specifically, the file contains the turtle's platform transmitter terminal (PTT; satellite tag) number, the date and time (in UTC) of the dive data collected, the behavioral mode of the turtle on that date, and the dive data values. These values are identified by the column "bin_type_num" which includes the type of bin and what level, as well as "value", which includes either the number or percent of dives.