Find OOI and IOOS salinity data in a specified time interval and bounding box using the ERDDAP advanced search and data access RESTful APIs

Note: This Jupyter notebook originated from `an ERDDAPY notebook from the IOOS gallery <>`__

ERDDAP is a data server that gives you a simple, consistent way to download data in the format and the spatial and temporal coverage that you want. ERDDAP is a web application with an interface for people to use. It is also a RESTful web service that allows data access directly from any computer program (e.g. Matlab, R, or webpages).”

This notebook uses the python client erddapy to help construct the RESTful URLs and translate the responses into Pandas and Xarray objects.

A typical ERDDAP RESTful URL looks like:,latitude,longitude,salinity,temperature,time&time>=2016-07-10T00:00:00Z&time<=2017-02-10T00:00:00Z &latitude>=38.0&latitude<=41.0&longitude>=-72.0&longitude<=-69.0

Let’s break it down to smaller parts:

  • server:

  • protocol: tabledap

  • dataset_id: whoi_406-20160902T1700

  • response: .mat

  • variables: depth,latitude,longitude,temperature,time

  • constraints:

    • time>=2016-07-10T00:00:00Z

    • time<=2017-02-10T00:00:00Z

    • latitude>=38.0

    • latitude<=41.0

    • longitude>=-72.0

    • longitude<=-69.0

import pandas as pd
from erddapy import ERDDAP
from erddapy.utilities import urlopen
import hvplot.xarray
import hvplot.pandas
import holoviews as hv
import numpy as np