Navigating Through the IRI Data Library: A Tutorial
The Data Library is an extremely powerful tool
that allows you to access, manipulate, and view a wide array of earth science data in a variety of
formats (e.g., data files, tables), visual plots (e.g., contour, color, vector), and plot formats
(e.g., PostScript, GIF). The goal of this tutorial is to
introduce you to the structure of the Data Library and the many ways to navigate through it.
Introduces functions that manipulate, plot, and download data
Feel free to start at whichever part is most suitable for your skill and experience
level. The intention is for this to be a hands-on exercise and there are number of tools that facilitate
that goal.
Tutorial Tools
Instructions
The step-by-step instructions of the tutorial are in
red to help you distinguish them from the accompanying
discussions.
Check Link
Most instructions are followed by a
CHECK
link that shows how your page should appear after the instruction is completed properly.
Multiple Windows
Each new series of instructions starts with a link that will open the proper page in a
new window so that you can easily follow the discussion and instruction of the tutorial. These links
are noted by an asterisk (*).
Learning the Language
You will learn how to perform operations using the Data Library interface as well
as with Ingrid commands, the language on which the Data Library is based. Ingrid commands are recognizable
throughout the tutorial by their
green color.
Navigation
Navigation Banner - the blue navigation banner in the upper left hand corner of this page will allow you
to move throughout the tutorial and is described in greater detail in
Part I.
Navigation Buttons
- Next step in the tutorial
- Skip ahead
- Table of Contents
Table of Contents - offers an outline of the tutorial and the opportunity
to go directly to any section.
An archive of selected
previously-asked
questions is available to help you answer your more specific questions
as you use the Data Library. If the tutorial and question archive does
not address your question, then there is also an email
contact that will be happy to help you.
I. Locating and Understanding Datasets
II. Selecting Basic Data Parameters
III. Manipulating, Visualizing, and Downloading Data