Skip to main content
NSF NEON | Open Data to Understand our Ecosystems logo

Main navigation

  • About Us
    • Overview
      • Spatial and Temporal Design
      • History
    • Vision and Management
    • Advisory Groups
      • Advisory Committee: STEAC
      • Technical Working Groups (TWGs)
    • FAQ
    • Contact Us
      • Field Offices
    • User Accounts
    • Staff

    About Us

  • Data & Samples
    • Data Portal
      • Explore Data Products
      • Data Availability Charts
      • Spatial Data & Maps
      • Document Library
      • API & GraphQL
      • Prototype Data
      • External Lab Data Ingest (restricted)
    • Samples & Specimens
      • Discover and Use NEON Samples
        • Sample Types
        • Sample Repositories
        • Sample Explorer
        • Megapit and Distributed Initial Characterization Soil Archives
        • Excess Samples
      • Sample Processing
      • Sample Quality
      • Taxonomic Lists
    • Collection Methods
      • Protocols & Standardized Methods
      • AIrborne Remote Sensing
        • Flight Box Design
        • Flight Schedules and Coverage
        • Daily Flight Reports
        • Camera
        • Imaging Spectrometer
        • Lidar
      • Automated Instruments
        • Site Level Sampling Design
        • Sensor Collection Frequency
        • Instrumented Collection Types
          • Meteorology
          • Phenocams
          • Soil Sensors
          • Ground Water
          • Surface Water
      • Observational Sampling
        • Site Level Sampling Design
        • Sampling Schedules
        • Observation Types
          • Aquatic Organisms
            • Aquatic Microbes
            • Fish
            • Macroinvertebrates & Zooplankton
            • Periphyton, Phytoplankton, and Aquatic Plants
          • Terrestrial Organisms
            • Birds
            • Ground Beetles
            • Mosquitoes
            • Small Mammals
            • Soil Microbes
            • Terrestrial Plants
            • Ticks
          • Hydrology & Geomorphology
            • Discharge
            • Geomorphology
          • Biogeochemistry
          • DNA Sequences
          • Pathogens
          • Sediments
          • Soils
            • Soil Descriptions
    • Data Notifications
    • Data Guidelines and Policies
      • Acknowledging and Citing NEON
      • Publishing Research Outputs
      • Usage Policies
    • Data Management
      • Data Availability
      • Data Formats and Conventions
      • Data Processing
      • Data Quality
      • Data Product Revisions and Releases
        • Release 2021
        • Release 2022
        • Release 2023
      • NEON and Google
      • Externally Hosted Data

    Data & Samples

  • Field Sites
    • About Field Sites and Domains
    • Explore Field Sites
    • Site Management Data Product

    Field Sites

  • Impact
    • Observatory Blog
    • Case Studies
    • Spotlights
    • Papers & Publications
    • Newsroom
      • NEON in the News
      • Newsletter Archive

    Impact

  • Resources
    • Getting Started with NEON Data & Resources
    • Documents and Communication Resources
      • Papers & Publications
      • Document Library
      • Outreach Materials
    • Code Hub
      • Code Resources Guidelines
      • Code Resources Submission
      • NEON's GitHub Organization Homepage
    • Learning Hub
      • Science Videos
      • Tutorials
      • Workshops & Courses
      • Teaching Modules
      • Faculty Mentoring Networks
      • Data Education Fellows
    • Research Support and Assignable Assets
      • Field Site Coordination
      • Letters of Support
      • Mobile Deployment Platforms
      • Permits and Permissions
      • AOP Flight Campaigns
      • Excess Samples
      • Assignable Assets FAQs
    • Funding Opportunities

    Resources

  • Get Involved
    • Advisory Groups
    • Upcoming Events
    • Past Events
    • NEON Ambassador Program
    • Collaborative Works
      • EFI-NEON Ecological Forecasting Challenge
      • NCAR-NEON-Community Collaborations
      • NEON Science Summit
      • NEON Great Lakes User Group
    • Community Engagement
    • Science Seminars and Data Skills Webinars
    • Work Opportunities
      • Careers
      • Seasonal Fieldwork
      • Postdoctoral Fellows
      • Internships
        • Intern Alumni
    • Partners

    Get Involved

  • My Account
  • Search

Search

Learning Hub

  • Science Videos
  • Tutorials
  • Workshops & Courses
  • Teaching Modules
  • Faculty Mentoring Networks
  • Data Education Fellows

Breadcrumb

  1. Resources
  2. Learning Hub
  3. Tutorials

Tutorials

Image
Banner for tutorials

Looking to improve your data skills using tools like R or Python? Want to learn more about working with a specific NEON data product? NEON develops online tutorials to help you improve your research. These self-paced tutorials are designed for you to used as standalone help on a single topic or as a series to learn new techniques.

Code for all script based tutorials can be downloaded at the end of the tutorial. Original files can also be found on GitHub.

All materials are freely available for you to use and reuse. We suggest the following citation for tutorials: 
[AUTHOR(S), NEON (National Ecological Observatory Network)]. Data Tutorial: [TUTORIAL NAME]. [URL] (accessed [DATE OF ACCESS]). See Citation Guidelines for examples, and for guidance in citing data and code.

Tutorials

Start Tutorial

Detecting Foggy Images using the hazer Package

0.5 hrs
Learn how to estimate image haziness in a image as an indication of fog, cloud or other natural or artificial factors using the hazer R package.
Start Tutorial

Document & Publish Your Workflow: Jupyter Notebooks

0.5 hour
This tutorial introduces the importance of tools supporting documenting & publishing a workflow using the Python kernel of Jupyter Notebooks.
Start Tutorial

Document & Publish Your Workflow: R Markdown & knitr

20 minutes
This tutorial introduces the importance of tools supporting documenting & publishing a workflow.
Start Tutorial

Document Code with R Markdown

1 hour
This tutorial cover how to use R Markdown files to document code.
Start Tutorial

Document Your Code with Jupyter Notebooks

This series teaches you to use Jupyter Notebooks formats to document code and efficiently publish code results & outputs.
Series
2 part series
Start Tutorial

Document Your Code with R Markdown

This series teaches you to use the R Markdown file format to document code and efficiently publish code results & outputs.
Series
3 part series
Start Tutorial

Download a NEON Teaching Data Subset & Set A Working Directory In R

30 minutes
This tutorial explains how to set a working directory in R. The working directory points to a directory or folder on the computer where data that you wish to work with in R is stored.
Start Tutorial

Download and Explore NEON Data

1 - 2 hours
Tutorial for downloading data from the Data Portal and the neonUtilities package, then exploring and understanding the downloaded data
Start Tutorial

Download and work with NEON Aquatic Instrument Data

3 hours
Tutorial for downloading NEON AIS data using the neonUtilities package and then exploring and understanding the downloaded data
Start Tutorial

Exploratory Analysis of Interannual AOP Data in GEE

45 minutes
Exploring interannual differences using AOP lidar and hyperspectral data
Start Tutorial

Explore and work with NEON biodiversity data from aquatic ecosystems

1 Hour
Download and explore NEON macroinvertebrate data. This includes instruction on how to convert to long and wide tables, as well as an exploration of alpha, beta, and gamma diversity from Jost (2007).
Start Tutorial

Explore biodiversity with NEON algae data

1 Hour
Download and explore NEON algae data. This includes instruction for using
Start Tutorial

Explore NEON biodiversity data using ecocomDP

1.5 Hours
Download and explore NEON algae and aquatic macroinvertebrate data with
Start Tutorial

Exploring Uncertainty in LiDAR Data using Python

30 minutes
Learn to analyze the difference between rasters taken a few days apart to assess the uncertainty between days.
Start Tutorial

Extract Values from a Raster in R

0.5 Hours
Learn to extract data from a raster using circular or square buffers created around a x,y location or from a shapefile. With this we will learn to convert x,y locations in a .csv file into a SpatialPointsDataFrame
Start Tutorial

Extracting Timeseries from Images using the xROI R Package

0.5 hrs
Delineate Region of Interests (ROIs) and Extract Time-Series Data from Digital Repeat Photography Images using xROI
Start Tutorial

Filter, Piping, and GREPL Using R DPLYR - An Intro

1.0 - 1.5 Hours
Learn how to use the filter, group_by, and summarize functions with piping
Start Tutorial

Function for Visualizing AOP Image Collections in GEE

20 minutes
Load in and visualize SDR data using a function
Start Tutorial

Get Started with NEON Data: A Series of Data Tutorials

This series contains tutorials to guide you through how to access and navigate NEON data, and introduce you to techniques and resources for working with specific types of NEON data.
Series
13 part series
Start Tutorial

Getting Started with the R Programming Language

30 minutes
This tutorial presents the basics of using R.
Start Tutorial

Git 01: Intro to Git Version Control

30 minutes
This tutorial introduces the importance of version control in scientific workflows.
Start Tutorial

Git 02: GitHub.com - Repos & Forks

30 minutes
This tutorial teaches you how to fork, or copy, an existing GitHub repository.
Start Tutorial

Git 03: Git Clone - Work Locally On Your Computer

30 minutes
This tutorial teaches you how to clone or copy a
Start Tutorial

Git 04: Markdown Files

30 minutes
This tutorial covers the basics of writing a document using the markdown language.
Start Tutorial

Git 05: Git Add Changes - Commit

30 minutes
This tutorial covers how to edit a local version of a Git repository and then commit changes to it to be tracked in the Git version control system.
Start Tutorial

Git 06: Sync GitHub Repos with Pull Requests

30 minutes
This tutorial covers how to submit a pull request to a repository that you don't have direct push access to in order to suggest changes to content.
Start Tutorial

Git 07: Updating Your Repo by Setting Up a Remote

30 minutes
This tutorial covers how to set up a repository to update your local repo with any any changes from the central repo.
Start Tutorial

Going On The Grid -- An Intro to Gridding & Spatial Interpolation

30 minutes
An overview of the basics needed to begin to exploring converting point data into raster or gridding format.
Start Tutorial

HDFView: Exploring HDF5 Files in the Free HDFview Tool

0.5 Hours
Explore HDF5 files and the groups and datasets contained within, using the free HDFview tool. See how HDF5 files can be structured and explore metadata. Explore both spatial and temporal data stored in HDF5!
Start Tutorial

Hierarchical Data Formats - What is HDF5?

0.25 - 0.5 Hours
An brief introduction to the Hierarchical Data Format 5 (HDF5) file/data model. Learn about how HDF5 is structured and the benefits of using HDF5.

Pagination

  • First page
  • Previous page
  • Page 1
  • Current page 2
  • Page 3
  • Page 4
  • Page 5
  • …
  • Next page
  • Last page
NEON Logo

Follow Us:

Join Our Newsletter

Get updates on events, opportunities, and how NEON is being used today.

Subscribe Now

Footer

  • My Account
  • About Us
  • Newsroom
  • Contact Us
  • Terms & Conditions
  • Careers

Copyright © Battelle, 2019-2020

The National Ecological Observatory Network is a major facility fully funded by the National Science Foundation.

Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the National Science Foundation.