Abstract:

Acoustic detections of cetacean (beaked whales, sperm whales, and dolphins) phonations were classified using Matlab. Detection events are reported by site, with associated filename, duration, number of clicks in each event, and timestamp for the beginning of the detection event.

Suggested Citation:

Sidorovskaia, Natalia and Kun Li. 2021. Acoustic detections of cetaceans from bottom-moored Environmental Acoustic Recording System (EARS) buoys in the northern Gulf of Mexico 2017-06-09 to 2017-10-10. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/n7-4zw6-ap48

Publications:

Li, K., Sidorovskaia, N. A., Guilment, T., Tang, T., Tiemann, C. O., & Griffin, S. (2023). Investigating beaked whale’s regional habitat division and local density trends near the Deepwater Horizon oil spill site through acoustics. Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.1014945

Purpose:

Acoustic detections were determined from passive acoustic data to determine post-Deepwater Horizon distributions and potential differences from pre-Deepwater Horizon distributions.

Data Parameters and Units:

Location_B13.txt/Location_B15.txt/Location_B17.txt: latitude (degrees, decimal minutes), longitude (degrees, decimal minutes), depth (meters); daily_activity_B13.csv/daily_activity_B15.csv/daily_activity_B17.csv: serial number (index), clicks per minute, time stamp (recording timelines with UTC (GMT) at three different locations - format uses 12 digits, which represent year, month, day, hour and minute. ex, 201609100000, Digits: (1:4)2016---year, (5:6)09---month, (7:8)10--day, (9:10)00---hour, (11:12)00---minute); classifications_B13.csv/classifications_B15.csv/classifications_B17.csv: raw file names, emerging time bins for each detected species of beaked whale

Instruments:

Matlab

Individual Files: