Training, data archive integration, and analysis tools for high-resolution tag data
Abstract
Project Summary/Abstract: Approved for Public ReleaseBio-logging studies, where data are collected using animal-borne devices, continue to grow rapidly in numbers and in scope. But this is a two part problem, where algorithms that are used to process data from tags are essential for assessing marine mammal behavior. This is true for both acoustic disturbance, as well as for acquiring baselinebehavior for environmental risk models - both critical U.S. Navy interests. However, with the number of users and methods of analysis steadily growing, standardization and verification of the algorithms used for analysis is necessary to ensure the quality of the analysis and to facilitate comparisons of data between studies. Currently, these tools tend to be disseminated by individuals in community driven repositories. Additionally, as the number of tag users increases there is a need to provide structure and instruction to the community to ensure a level of standardization for the resulting analysis. The objectives of this work include: 1) Curation and standardization of existing analysis tools used to extract information from high-resolution movement tags in a dynamic centralized repository that can be easily maintained and updated as new tools are developed. 2) The creation of standalone online modules to facilitate the use of the algorithms in the repository. And, 3) data archive integration into the analysis workflow to standardize the resulting data and analysis.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jun 09, 2021
- Source ID
- N000142112612
Entities
People
- K. Alex Shorter
Organizations
- Board of Regents of the University of Michigan
- Office of Naval Research
- United States Navy