Replacing Clear Heat-Shrink Tubing on SMC cables
Each SMC cable that protrudes from the nose cone of a VMP, MicroRider, or MicroSquid is encased in 2 pieces of clear heat-shrink tubing. The clear tubing insulates the exposed metal of both the SMC cable shaft and the nut from the inner wall of the probe holder. Damaged tubing must be replaced so that […]
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Jeremy Hancyk2016-03-11 16:11:192020-03-31 09:57:29Replacing Clear Heat-Shrink Tubing on SMC cables
Identifying and Avoiding Moisture Damage in your Instrument
One of the most frequently occurring problems among our user group is moisture damage to the probes, SMC cables, and nose cone. There are several reasons moisture damage may occur. Poor installation of sensors: over-tightening or under-tightening the probe holder cap, or an ill-seated probe will compromise the integrity of the sealing surface. Installing sensors in the rain: […]
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Jeremy Hancyk2016-02-25 13:59:032020-03-31 11:48:05Identifying and Avoiding Moisture Damage in your Instrument
Despiking Data
Spikes in data can be caused by environmental debris in the water column (phytoplankton, jelly fish, etc.). Regions of high biological productivity are more likely to result in lots of spikes in your data set. Such spikes can change the spectra and skew estimates of dissipation. Despiking detects anomalous, stand alone spikes in data and […]
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Jeremy Hancyk2016-01-15 09:39:352020-03-31 11:50:42Despiking Data
Converting Raw Data Into Physical Units: odas_p2mat
A second cornerstone of our ODAS Matlab Library 4.0 is the new function odas_p2mat. odas_p2mat uses the configuration information embedded in the Rockland data file to convert the binary data into data vectors in physical units for both raw signals and derived signals. The data vectors created by odas_p2mat are saved in a mat-file with the same name as the p-file. […]
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Jeremy Hancyk2016-01-08 09:37:302020-03-31 11:51:50Converting Raw Data Into Physical Units: odas_p2mat
A Quick Guide to quick_look.m
A cornerstone of our ODAS Matlab Library 4.0 is the new and improved quick_look.m. quick_look.m visualizes the content of an RSI data file, the p-file, computes spectra for a selected range, and returns a profile of the rate of dissipation of turbulent kinetic energy. First, data is converted into physical units by calling the new function odas_p2mat.m. After data […]
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Jeremy Hancyk2015-12-24 09:00:062020-03-31 11:52:51A Quick Guide to quick_look.m
Introducing ODAS Matlab Library 4.0
Welcome! We are very excited to unveil our new website. Please take the time to click around to see what information is new and updated. This first blog post is an opportunity to introduce you to our exciting new product available on our website: ODAS Matlab Library 4.0. The new ODAS Matlab Library adds a […]
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Jeremy Hancyk2015-12-18 16:51:182020-03-31 11:53:54Introducing ODAS Matlab Library 4.0