Data Institute 2017: Download the Data

Authors: 
Megan A. Jones
Table of Contents

NEON Teaching Datasets

Many NEON data skills tutorials utilize teaching data subsets which are hosted on the NEON Data Skills figshare repository.

We recommend downloading the complete Data Institute 2017 teaching data subsets from the button in the instructions below. The required dataset(s) will also be available to download at the start of each tutorial series in the Download Data section.

Download & Uncompress the Data

1) Download

First, we will download the data sets to a location on the computer. To download the data for this event, click the blue buttons below.

Download Data

<a href="https://neondata.sharefile.com/d-sf1eb1e9c5174760a" class="class="link--button link--arrow"> Download NEON Teaching Data Subset: Data Institute 2017

<a href="https://ndownloader.figshare.com/files/8730436" class="class="link--button link--arrow"> Download NEON Teaching Data Subset: Data Institute 2017 - Spectral Classification

After clicking on the Download Data button, the data will automatically download to the computer. This is a large file so it might take a while to download.

2) Locate .zip file

Second, we need to find the downloaded .zip file. Many browsers default to downloading to the Downloads directory on your computer. Note: You may have previously specified a specific directory (folder) for files downloaded from the internet, if so, the .zip file will download there.

Screenshot of the computer's Downloads folder containing the newly downloaded file. Source: National Ecological Observatory Network (NEON)

3) Move to NEONDI-2017 directory

Third, we must move the data files to the location we want to work with them. We recommend moving the .zip to a dedicated NEONDI-2017 subdirectory within a data directory in the Documents directory on your computer (~/Documents/data/NEONDI-2017). This NEONDI-2017 directory can then be a repository for all data subsets you use for the NEON Data Institute tutorials.

Note: If you chose to store your data in a different directory (e.g., not in ~/Documents/data/NEONDI-2017), modify the directions below with the appropriate file path to your NEONDI-2017 directory.

Data Tip: All NEON Data Skills tutorials are written assuming the working directory is the parent directory to the uncompressed .zip file of downloaded data -- NEONDI-2017. This allows for multiple data subsets to be accessed in the tutorial without resetting the working directory. If you choose to put your data elsewhere, you must remember to modify the working directory and/or file paths when going through the tutorials.

4) Unzip/uncompress

Fourth, we need to unzip/uncompress the file so that the data files can be accessed. Use your favorite tool that can unpackage/open .zip files (e.g., winzip, Archive Utility, etc). Depending on the tool you use to uncompress the files, you may need to individually uncompress the individual files (SOAP, SJER, and TEAK) within the main file.

5) Combine the Subsets

Fifth, we need to put all three data subsets within a single directory structure. The directory should be the same as in this screenshot (below). We want the TEAK, SJER, and SOAP data subsets within the NEONdata subdirectory.

Screenshot of the directory structure: nested Documents, data, NEONDI-2017, and other directories.(Note: this figure shows the 2016 data not the 2017 data). Source: National Ecological Observatory Network (NEON)

Due to difference in the tools used to uncompress the zipped files, the name of the directory you initially see once unzipping is complete may differ. The most straight forward way to set up this structure, is to open the newly unzipped TEAK directory, within it you will find a NEONdata and an outputs directories. Now open the unzipped SJER and SOAP directories until you get to subdirectories named SOAP or SJER. Transfer only these two subdirectories to the NEONdata directory originally from the unzipped TEAK directory. If necessary, move this NEONdata directory so that it is within NEONDI-2017 directory.

You will now have all the teaching data subsets that will be used in the NEON Data Institute 2017.

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