Data Management and Analysis in Ocean Acoustic Recordings
Measurements of sound in the ocean pose challenges due to high frequencies and large data sets. Establishing a standard data model and aggregation service for acoustic recordings can streamline analysis processes. Discussing file discretization, aggregation, best practices, and potential solutions for handling and analyzing passive acoustic data.
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ERDDAP Setup/Configuration Hands-On Already a Docker user? Try Axiom's Docker Container for ERDDAP: https://hub.docker.com/u/axiom/ Otherwise, use the standard ERDDAP installation instructions: https://coastwatch.pfeg.noaa.gov/erddap/download/setup.html Examples of awesome things you can do with ERDDAP: https://github.com/IrishMarineInstitute/awesome-erddap Example datasets and ERDDAP configurations: https://github.com/ioos/erddap-gold-standard Questions? 4
Working with Passive Acoustic Data Sound in the ocean is relatively easy to measure with hydrophones, however the analysis is not that easy measurements are (very) high frequency, leading to data sets that are large, meaning some sort of file discretization is needed, and therefore some sort of file aggregation is then required I think some sort of data service for acoustic records (i.e., sound files) would be tremendously helpful At present there is no standard data model and/or format for acoustic data, Alternately at present there are too many standards for acoustic data 5
Working with Passive Acoustic Data (contd) Can we converge on, then promote: a data model for acoustics (e.g., .wav files) best practice for file granularity (e.g., based on time, 5- minute files, or on size, etc.) If the above is possible, can we then get a data aggregation service to serve these files? Misc issues: what are scientific (or otherwise) drivers for these data? what are typical client tools (iTunes?) what about all the other stuff (metadata conventions, Q/C, archiving) 6
