TrackdAT: a global acoustic telemetry metadata dataset (version 1)

TrackdAT is a metadata dataset where acoustic telemetry (aquatic animal tracking) information is extracted from peer-reviewed literature and catalogued with the goal of improving collaborations, informing stakeholders, and optimizing future research in the field of movement ecology. The current version (version 1) has been peer-reviewed as part of a Scientific Data article

MOESM1 of Estimating incision healing rate for surgically implanted acoustic transmitters from recaptured fish

Additional file 1. Surgical incision scoring data from recaptured walleye that were tagged with acoustic transmitters in the Great Lakes

Acoustic telemetry detection data

This file explains the variables in the acoustic telemetry detection dataset that accompanies: Kraus et al. 2018, Evaluation of Acoustic Telemetry Grids for Determining Aquatic Animal Movement and Survival, in Methods in Ecology and Evolution