pebblenet 0.1.0

A Python program that retrieves relevant data from the web and structures it in a JSON-compatible format for use in my UUT project.

PebbleNet

A Python toolkit for collecting and processing water quality data from the Chesapeake Bay, integrating data from NOAA stations and Maryland's Eyes on the Bay monitoring program.

Overview

This project provides tools to fetch and process:

• Real-time data from NOAA monitoring stations around the Chesapeake Bay
• Monthly water quality measurements from Maryland's Eyes on the Bay program

Features

• NOAA Data Collection

  • Real-time weather and water quality measurements
  • Automatic data aggregation and daily averaging
  • Parameters include: wind speed/direction, water temperature, air temperature, pressure, and more

• Eyes on the Bay Integration

  • Monthly water quality measurements
  • Parameters include: dissolved oxygen, water temperature, secchi depth, salinity, and pH
  • Station location mapping

Data Sources

• NOAA Stations: Real-time data from stations including:

  • BLTM2 (Baltimore)
  • CHCM2 (Cambridge)
  • TCBM2 (Tolchester Beach)
  • And more...

• Eyes on the Bay Stations: Monthly data from stations including:

  • CB10
  • CB11
  • WT51
  • CB32
  • WT41
  • CB31

Output Format

NOAA Data

Data is returned in JSON format, structured for easy integration with visualization tools:

{
    "name": "WTMP",
    "labels": ["Jan 01", "Jan 02"],
    "values": [12.3, 12.5]
}

Eyes on the Bay Data

Data is returned in JSON format with station, parameter, and monthly measurements:

{
    "CB10": {
        "bdo": {
            "January": {
                "Surface": "9.8",
                "Bottom": "9.5",
                "Mean": "9.65",
                "StDev": "0.21",
                "Count": "2"
            },
            "February": {
                ...
            }
        },
        "wt": {
            ...
        }
    }
}

Dependencies

• Python 3.x
• requests
• beautifulsoup4