Abstract
This dataset contains detections of two Kogia species, Pygmy sperm whales (Kogia breviceps) and dwarf sperm whales (Kogia sima), echolocation clicks from three locations in the Gulf of Mexico (GOM) from the period following the Deepwater Horizon oil spill (2010-2013). These detections are given by site and time bin, including the number of detections per time bin. Clicks were grouped into five-minute bins. For each bin containing clicks, the number of clicks, mean click spectrum, and distribution of received levels are given, along with information about the bin start and end time. Passive acoustic monitoring was conducted with High-frequency Acoustic Recording Packages (HARPs). These data were scanned for Kogia clicks using a combination of computer algorithms and manual (analyst) scanning of the waveform and spectral data. This dataset supports the publication: Hildebrand, J. A., Frasier, K. E., Baumann-Pickering, S., Wiggins, S. M., Merkens, K. P., Garrison, L. P., Soldevilla, M.S., & McDonald, M.A. (2019). Assessing Seasonality and Density From Passive Acoustic Monitoring of Signals Presumed to be From Pygmy and Dwarf Sperm Whales in the Gulf of Mexico. Frontiers in Marine Science, 6. doi:10.3389/fmars.2019.00066
Purpose
Dataset was developed to assess the population of Kogia sp. (Dwarf and Pygmy Sperm Whales ) in the Gulf of Mexico at the time and following the Deepwater Horizon oil spill.
Keywords
marine mammals, passive acoustic monitoring, Kogia, Dwarf and Pygmy Sperm Whales
UDI
R4.x267.180:0011
Date
May 2019
Point of Contact
Name
John A. Hildebrand
Organization
University of California San Diego / Scripps Institution of Oceanography
Funding Source
RFP-4
DOI
10.7266/n7-8jdk-7848
Rights Information
This work is licensed under a
Creative Commons Public Domain Dedication 1.0 License.
Scholar Commons Citation
Hildebrand, John; Frasier, Kait. 2019. Dataset for: Assessing Seasonality and Density From Passive Acoustic Monitoring of Signals Presumed to be From Pygmy and Dwarf Sperm Whales in the Gulf of Mexico. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/n7-8jdk-7848
Comments
Supplemental Information
The file deployment_info_kogia.csv includes site and deployment information and contains: Site (MC, GC, DT); ID (number); Start Date (MM/DD/YY); End Date (MM/DD/YY); Recording Duration (Days); Deployment Longitude West; Deployment Latitude North; Deployment; Depth (m). Correction note: please note that column H contains depth data. Data are formatted according to XML schema associated with Tethys software. Tethys is a freely-available open-source temporal-spatial database for used for standardized data storage by the passive acoustics community. https://tethys.sdsu.edu/ Variable definitions: : Start of recording effort (yyyy-mm-ddTHH:MM:SS.000) : End of recording effort (yyyy-mm-ddTHH:MM:SS.000) : ITIS number identifying species. : Start of bin (yyyy-mm-ddTHH:MM:SS.000) : End of bin (yyyy-mm-ddTHH:MM:SS.000) : Number of clicks in bin : ITIS number identifying species. : Mean spectral energy of clicks in bin : Vector of frequency bins in kHz associated with MeanSpectrum (i.e. to plot the mean spectrum: x = Frequency_kHz, y = MeanSpectrum). This is the same for every bin. : Distribution of click received levels in dB peak-to-peak. : Vecor of received levels in dB peak-to-peak associated with RL_Distribution (i.e. to plot the RL distribution: x = RL_dBpp, y = RL_Distribution). This is the same for every bin.|Passive acoustic monitoring was conducted with High-frequency Acoustic Recording Packages. These data were scanned for Kogia clicks using a combination of computer algorithms and manual (analyst) scanning of the waveform and spectral data. For further detail on analysis, please refer to the associated publication Hildebrand et al., 2019, and for information about Tethys, please refer to Roch et al., 2016.|High-frequency Acoustic Recording Packages (HARPs).|200 kHz sample rate at three sites.|Less than 5 percent false detection rate.|Roch, M. A., Batchelor, H., Baumann-Pickering, S., Berchok, C. L., Cholewiak, D., Fujioka, E., Garland, E.C., Herbert, S., Hildebrand, J.A., Oleson, E.M., & Van Parijs, S. (2016). Management of acoustic metadata for bioacoustics. Ecol. Inform. 31, 122–136. doi: 10.1016/j.ecoinf.2015.12.002