IOOS data comes from a variety of technologies or data collection systems. While types of data available through any one of our 11 regional associations may vary depending on the local area, the national IOOS data products include data collected from buoys, high frequency radar systems and gliders. Modeling teams across regional associations also create data products including physical and environmental models of coastal systems.
IOOS data can be accessed through a variety of access services and tools through IOOS interactive maps, Data Assembly Centers (DACs), and individual Regional Association portals. This chapter provides examples of the various data access services (SOS, THREDDS, ERDDAP, etc) and tools for scientists and managers looking to access data using various programing languages (Python, Matlab, R, etc).
For more information on accessing IOOS data, see https://ioos.noaa.gov/data/access-ioos-data/.
Chapter table of contents#
- Fetching data from CO-OPS ERDDAP with Python tools
- Plotting Glider data with Python tools
- Accessing glider data via the Glider DAC API with Python
- Read realtime data from IOOS Sensor Map via ERDDAP tabledap
- Using NCEI geoportal REST API to collect information about IOOS Regional Association archived data
- Using the
xtractomaticR package to track Pacific Blue Marlin
- Exploring the NHC Advisories and Sea Surface Height during Hurricane Irma
- Calling R libraries from Python
- Using r-obistools and r-obis to explore the OBIS database
- erddapy: a python client/URL builder for ERDDAP
- IOOS models: Temperature Horizontal Slices
- Accessing data from SOS using NHC GIS files
- IOOS GTS Statistics
- Searching multiple ERDDAP servers
- Using pyobis to query for known datasets
- Let’s make some histograms of occurrence record distributions across latitude and longitude
- Create a grid of observations