Physical trajectory profile data from glider unit_167 deployed by University of Alaska - Fairbanks and University of Alaska - Fairbanks; College of Fisheries and Ocean Sciences in the Chukchi Sea from 2013-09-11 to 2013-09-19 (NCEI Accession 0209096)

Shipboard observations of marine mammal distribution and habitat are expensive and logistically challenging to collect in Arctic waters. Port facilities are minimal and access to appropriate vessels for spending extended periods of time at sea is extremely limited. Autonomous platforms like gliders provide the capability to collect both oceanographic and passive acoustic data for far longer periods of time (weeks to months) and at significantly reduced costs than traditional shipboard or aerial surveys. We have developed a system to record, detect, classify, and remotely report Arctic and sub-Arctic marine mammal calls in real time from Slocum ocean gliders based on the digital acoustic monitoring (DMON) instrument and the low-frequency detection and classification system (LFDCS). The system was successfully demonstrated for Arctic research during three AOOS-funded studies in the Chukchi Sea during September 2013 and 2014 and from 11 July – 8 September 2015. The joint acoustic-oceanographic data were used to examine the distribution, occurrence, and habitat of marine mammals using in-situ passive acoustic and oceanographic data collected by the glider, and to demonstrate the near real-time detection and reporting capability of the system.

The National Centers for Environmental Information (NCEI) received the data in this archival package from the Integrated Ocean Observing System's National Glider Data Assembly Center (IOOS NGDAC). The IOOS NGDAC received the data in one or more netCDF files comprising an entire glider deployment. The data are measurements of physical oceanographic properties such as temperature, salinity, conductivity, and density. The IOOS NGDAC checked the files for compliance to their netCDF file convention, aggregated the files into a single netCDF file, and then submitted the file to NCEI for long-term preservation.