ECE-143-Project

This repo contains the code, data, and approach for the ECE 143 Project at UCSD

In order to complete this project, we used following databases

Datasets:

* NOAA National Centers for Environmental Information WOD (World Ocean Database )

  	 3.2 million Casts
  	 250 Thousand Biological Casts

This database was acquired through a request by form from the provided website.

Data for non_biological ocean variables including temperature, salinity, oxygen, Phosphate, pH, nitrate etc.

* BCO-DMO (Biological & Chemistry Oceanography Data Management Office) JeDI

Data for jellyfish and zooplanktons

* NOAA Coast Watch Environmental Data wocecpr

Data for zooplanktons This database was acquired from the server using following method

ERDDAP (Environmental Research Divisions Data Access Program)

ERDDAP is a data server that gives you a simple, consistent way to download subsets of scientific datasets in common file formats and make graphs and maps. This ERDDAP installation makes all of the datasets in the NOAA-wide UAF THREDDS catalog and many additional datasets available via ERDDAP.

All the datafiles are stored in a google drive and are accessable using this link

Github File/Folder Organization:

  .
  ├── Analysis                                            # All the related analysis python codes 
  │    ├── Non_biological                                  # Analysis python codes related to Non_biological variables
  │    │    ├── scatter_nitrate_Oxygen.py
  │    │    ├── scatter_nitrate_temperature.py
  │    │    ├── scatter_Oxygen_temperature.py
  │    │    ├── scatter_pH_Oxygen.py
  │    │    ├── scatter_pH_temperature.py
  │    │    ├── scatter_phosphate_Oxygen_depth10.py
  │    │    ├── scatter_phosphate_Oxygen.py
  │    │    └── scatter_phosphate_temperature.py
  │    ├── Biological                                      # Analysis python codes related to Biological variables
  │    |    ├── Planktons.py                               # Correlation analysis for Planktons and ocean data
  │    |    └── jellyfish_measurments_scatter.py           # Correlation analysis for Jellyfish and ocean data
  |    |
  |    └── Trends                                         # Temperature Trends
  |         ├── trends_analysis_global.py
  |         ├── trends_analysis_equator_deep_day_deep_night.py
  |         ├── trends_analysis_north_sea_deep_day.py
  |         └── trends_analysis_california_equator_deep_day_deep_night.py
  |
  ├── Data_Wrangling                                      # Python code to acquire/clean the data 
  │     ├── Data_Wrangling_Instructions.md 
  │     ├── Day_night_measurment_step_1.py
  │     ├── Day_night_measurment_step_2.py
  │     ├── checking_decades_distributed_properly.py
  │     ├── data_cleaning.py
  │     ├── generate_data_depth_0.py
  │     ├── read_jellyfish_data.py
  │     ├── read_ocean_data.py
  │     ├── reading_wod_data_script.py
  │     └── splitting_by_decade.py
  │
  ├── ProjectVisualization.ipynb                          # Jupiter notebook file for all the plots in the presentation
  ├── 143project_slides_group11.pptx                      # Presentation slides
  └── README.md                                           # Readme files

Each folder has a README file to explain its content

Modules/Packages used in the codes:

  import os
  import time
  import math
  import datetime
  import numpy as np
  import pandas as pd
  import seaborn as sns
  import scipy 
  import plotly.express as px
  import matplotlib.pyplot as plt
  import erddapy 
  import suntime
  import csv