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RUCOOL's Projects

barrierlayer_hurricaneida icon barrierlayer_hurricaneida

These jupyter notebooks layout an assessment of the impact of the Mississippi River Plume barrier layer on the response of the upper ocean to Hurricane Ida and Ida's intensity. This work is the basis for the second chapter of my M.S. thesis.

cool_maps icon cool_maps

Helper functions around the Python toolboxes matplotlib, for plotting data, and cartopy, for plotting data on maps. These functions are written to easy generate maps using some pre-defined settings that our lab prefers to use.

ets icon ets

Automate the creation of XML dataset snippets for serving RU-COOL glider data sets via ERDDAP

glideradm icon glideradm

Documentation on RU-COOL glider data processing for user glideradm

hfradarpy icon hfradarpy

Toolbox to read in High Frequency Radar (HFR) files written in the Codar Tabular Format (CTF). Easily read CODAR Ocean Sensors SeaSonde and HELZEL Messtechnik GmbH WERA radial files.

notebook_demos icon notebook_demos

A collection of Jupyter notebooks to demonstrate manipulation and visualization of oceanographic datasets

offshore_wind_living_resource_studies icon offshore_wind_living_resource_studies

Rutgers University scientists are working to understand and document how offshore wind-powered turbines affect marine animals through changes to their habitat. Data collection for these studies spans many techniques due to the variety of sizes and habits of marine animals.

rugliderqc icon rugliderqc

Python tools for quality control of real-time and delayed-mode glider data.

staged-recipes icon staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

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