Oil Industry Passive Acoustics Data [Hannay]
Summary
The acoustics monitoring program is designed to measure underwater ambient and industrial noise levels, and to detect and classify species of vocalizing marine mammals over a wide area of the eastern Chukchi Sea and in the vicinity of the main study area. Acoustic recorders using hydrophones (underwater microphones) are deployed on the seabed throughout the study areas. Some are seasonal and only remain in place during the summer months, while others record through the winter when ice covers the sea. The detections of calls from several marine mammal species, including several ice seals, walruses, belugas, bowheads, grey whales, fin whales, minke whales and killer whales, are used to determine their migration patterns and migration timing. This dataset is part of the Pacific Marine Arctic Regional Synthesis (PacMARS) Project.
This dataset contains the original CSV files, metadata files, shapefiles, and geodatabase files in ZIP files.
Data access
- ORDER data for delivery by FTP
Additional information
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Spatial Type | point |
Frequency | no set schedule |
Language | English |
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GCMD Science Keywords | Expand keywords |
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Temporal coverage
Begin datetime | 2006-07-09 00:00:00 |
End datetime | 2011-10-13 23:59:59 |
Spatial coverage
Map data from IBCSO, IBCAO, and Global Topography.
Maximum (North) Latitude:
71.98853,
Minimum (South) Latitude:
68.94128
Minimum (West) Longitude:
-167.78323,
Maximum (East) Longitude:
-156.9201
Primary point of contact information
Christie Cowee <ccowee@resdat.com>
Additional contact information
- author: Julien Delarue
- author: Nicole Chorney
- author: Heloise Frouin-Mouy
- author: David E. Hannay <david.hannay@jasco.com>
- author: Jeff MacDonnell
- author: Bruce Martin
- author: Xavier Mouy
- author: Jonathan Vallarta
- author: Jennifer Wladichuk
- principalInvestigator: David E. Hannay <david.hannay@jasco.com>
Citation
Delarue, J., et al. 2013. Oil Industry Passive Acoustics Data. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.5065/D64Q7S11. Accessed 03 Oct 2024.
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