This page compiles tools that community members have built to access, analyze, and visualize datasets. If you have a resource you’d like to share, please send a note to the OOI Helpdesk. Please note that these sites are not maintained by the OOI program, as they are supported by outside resources.
Data Status and Data Visualization Tools
- Data Team QC Database – Built by the Data Team to enable organized quality control testing, this site is hosted on a non-OOI server, but provides status and data availability information on an instrument and data stream level, as well as a full list of platforms, nodes, streams, and parameters across all arrays. This site is a non-production prototype tool that is constantly under construction, and data are not guaranteed to be synced continually.
- Data Team GitHub Repository – Data Team download and plotting tools, continually updated and annotated, including:
- A Python toolbox that allows any user to set up a real-time, continually updating display of OOI data.
- Python scripts to plot OOI netCDF datasets
- A toolbox used by the OOI Data Review Team at Rutgers University to check data accuracy.
- A repository containing a dictionary of OOI data streams and corresponding science parameters.
- Data Team M2M Tutorials – A set of step by step instructions and sample code that can be modified to request data from the OOI Machine-to-Machine interface via a RESTful API.
You may also find the following lists on this site helpful in translating OOI instrument and platform codes.
- Cabled Array tilt meter and co-located temperature plots – Courtesy of Dr. Bill Chadwick (Oregon State University/CIMRS)
- Python module for use with the raw data files from the OOI High Definition video camera system (CAMHD) – Courtesy of Dr. Timothy Crone (LDEO). The module can provide information about remote CamHD files, or retrieve individual still frames from these files, without having to download the entire file first. The module is still under development, which should be considered if using it to develop additional code (which is actively encouraged).
- Python module to convert Broadband Hydrophone (HYDBB) MSEED files into FLAC or WAV format, filter the data, and create spectrograms – Courtesy of Pete Cable (Raytheon).
- Axial Seamount Hydrothermal Vent Time-Lapse Videos – A new computer vision routine, developed by Aaron Marburg at UW-APL and aided by Tim Crone at LDEO and Friedrich Knuth at Rutgers, is now able to correctly identify and tag scenes of scientific interest in the CAMHD video stream. These scenes were previously being manually identified by students at Rutgers University. A new set of time-lapse videos has been created with this enhanced metadata record, displaying one frame captured every three hours from November 2015 to July 2016. (edited 09/07/17)
- Biology at Axial Seamount: View the information, images, and video related to the many different organisms that have been observed over the years of Cabled Array expedition cruises at Axial Seamount, a deep-sea volcano on the Juan de Fuca spreading ridge. This catalog, compiled by students at the University of Washington under the guidance of Deborah Kelley (UW) and Leslie Sautter (College of Charleston), is designed as a growing archive. The contributors hope that knowledgeable individuals will help to improve the quality of the information presented. (added 05/16/17)
- Axial Seamount Earthquake Catalog – Courtesy of Dr. William Wilcock (UW). This web site provides access to a near-real time catalog of earthquake detections and HYPOINVERSE locations for the Ocean Observatories Initiative cabled observatory at Axial Seamount. Support for this work comes from the National Science Foundation. (added 10/20/17)
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