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DART is a Windows application with the ability to fetch and store NOAA buoy data for the buoys off the coast of Maine, USA. With this data it can perform calculations and graph the information to make the users job easier and faster.

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Data Analysis and Record Tool (DART)

Welcome to our GitHub page!

This is a semester long project we are undertaking for a class at Ohio University in Athens, Ohio. This goal is to design a Windows application that helps the user interpret the data read from National Oceanic and Atmospheric Administration (NOAA) buoys.

The course instructors are:

  • Dr. Chang Liu
  • Yiran Liu

The students involved in this project are:

  • Prachetas Deshpande
  • Jack Mullen
  • Dylan Rogers
  • Josh Wright

Prerequisites

  • .NET 4.6.1 framework

  • Visual Studio

  • Python 3 installed and added to PATH

  • Windows capable of running Visual Studio

  • Knowledge of Visual Studio (not required but helpful)

Installation

  • Clone the GitHub code
  • Open the project
  • Under the Debug tab click the Start Debugging

Possible Errors

If the buoylist class function load says that the file location cannot be found:

  • Go to the Bin file and put in the directory to the most recent .txt file

If the run_cmd function errors saying invalid parameters for the Process.Start function there is an issue with your python3 installation.

  • Make sure that python3 is in your PATH

Data Used

These stations are the ones we are tracking within this program

  • PSBM1
  • CFWM1
  • 44027
  • ATGM1
  • 44034
  • MDRM1
  • 44037
  • 44033
  • MISM1
  • 44032
  • 44005
  • CASM1
  • 44007
  • 44030
  • WEQM1
  • WEXM1
  • WELM1
  • To see the data we use and other buoy data visit the NOAA website here.

To Contribute

  • Feel free to submit questions, bug reports, and ideas as GitHub Issues

Other Questions

About

DART is a Windows application with the ability to fetch and store NOAA buoy data for the buoys off the coast of Maine, USA. With this data it can perform calculations and graph the information to make the users job easier and faster.

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