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 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.
You may also find the following lists on the 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. Undergraduate students at Rutgers University have compiled time-lapse videos of the hydrothermal vent, under the direction of the OOI Data Team. There are 7 biological scenes of interest, captured during the pan/zoom routine of each video. The students are helping produce metadata by time-stamping each scene of interest in every video file on the archive. The students then ran code provided by the OOI Data Team to produce time-lapse videos and watch the vent change over time at each of the scenes of interest.
Don’t see your event or resource listed? Let us know! Contact the Help Desk and we will add your relevant Community Resources to the website. Thanks!