NOAA Alaska Fisheries API and Data Visualization Tool

SOFTWARE: Tools for analysis and inference within important quantitative marine species survey data provided by NAFSC GAP.

June 28, 2023
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Python-based toolset for working with public bottom trawl surveys data from the NOAA Alaska Fisheries Science Center Groundfish Assessment Program (NOAA AFSC GAP). This provides information about where certain species were seen and when under what conditions, information useful for research in ocean health and fisheries management. In addition to visual analytics tools that do not require code, it provides Pythonic access to the official API service with automated pagination, convenient contextual documentation, memory efficient zero catch (absence data) inference, and easy query generation / emulation for data filtering. All of this empowers smarter management decisions, more approachable entry points into these important datasets, and faster sophisticated ocean health research.

 

See webpage, project Github, and example notebook. Peer reviewed scientific package in PyOpenSci. Under review in the Journal of Open Source Software.

 

Accesses openly available NOAA data which are in the public domain.

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DSE Contributors

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Sam Pottinger

Sam Pottinger

Senior Research Data Scientist / Software Engineer
Eric and Wendy Schmidt Center for Data Science & Environment at Berkeley