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Oil Industry Seabirds Data

Summary

The seabird ecology component collects data on the distribution and abundance of seabirds in the northeastern Chukchi Sea in the vicinity of several oil and gas lease areas and the region including Hanna Shoal. We conduct surveys for seabirds from the bridge of the research vessel during daylight hours. The ship travels along a grid of parallel lines that run north-south through the study region. By observing birds July-October, we can describe spatial, seasonal, and interannual characteristics of the seabird community. We also provide detailed information on species that are of conservation concern (e.g., endangered, threatened, candidate species). The advantage of being a component of a multi-disciplinary study is that we integrate the information about seabirds in this area with the data on physical and biological oceanography that are collected concurrently by the research vessel to investigate the relationships between seabirds and their marine environment. This dataset is part of the Pacific Marine Arctic Regional Synthesis (PacMARS) Project.

This dataset contains the original CSV files, shapefiles, and geodatabase files in ZIP files.

Data access

  • ORDER data for delivery by FTP

Additional information

Identifier
Versions
  • 1.0 (2013-06-05)
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Related projects
Spatial Type point
Frequency no set schedule
Language English
ISO Topic Categories
  • oceans
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GCMD Science Keywords Expand keywords
Documentation
Related links

Temporal coverage

Begin datetime 2008-07-23 00:00:00
End datetime 2011-10-14 23:59:59

Spatial coverage


Map data from IBCSO, IBCAO, and Global Topography.

Maximum (North) Latitude: 72.615, Minimum (South) Latitude: 64.496
Minimum (West) Longitude: -168.50, Maximum (East) Longitude: -156.939

Primary point of contact information

Christie Cowee <ccowee@resdat.com>

Additional contact information

Citation

Example citation following ESIP guidelines:

Gall, A., Day, R., Morgan, T. 2013. Oil Industry Seabirds Data. Version 1.0. UCAR/NCAR - Earth Observing Laboratory. https://doi.org/10.5065/D6125QN1. Accessed 29 Sep 2020.

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