Code Hub
NEON's data are often complex; working with data can be greatly simplified using software or code. We provide some code to get you started, like with our `neonUtilities` package for R, and also post links to code contributed by members of the community. The NEON-related code resources listed below are designed to make working with all NEON data easier, to perform common algorithms on select data products, and to share the code used to generate select data products.
Most code resources that were created by and are managed by NEON can be found in the NEONScience GitHub organization. The code is free and open access to download and utilize. The code found in the NEONScience GitHub organization is published and maintained by NEON project scientists.
Other code resources listed below are created by data users interested in sharing their code. If you have requests for coding resources, challenges with NEON data or ideas for creating NEON data-related code, we encourage you to learn more about how we categorize NEON-related code resources, and how you can submit your own code resources.
Code resources are provided at three tiers, differing in level of review by NEON:
| Tier 1: Community Contributed Code | Community contributed code is reviewed to determine that it is publicly available, generally comprehensible, and involves NEON data. Code functionality is not evaluated. |
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| Tier 2: NEON Certified Code | Certified code goes through a code review, to ensure it performs as described and without error. |
| Tier 3: NEON Production Code | Production code is used in NEON data processing pipelines, to generate NEON data products. It is the end product of a very long and careful development process. |
Search the table below to find code that might be useful for your project.
| Title | Description | Tier | Language | |
|---|---|---|---|---|
ecocomDPA flexible dataset design pattern for ecological community data to facilitate synthesis and reuse Tier 2: NEON certified code R language This R package provides tools to discover and work with biodiversity data that follow the ecocomDP design pattern, including wrapper functions to search for and download data from the NEON and EDI data portals. See O'Brien et al (2021) for an overview. See the GitHub repo for more information about the data model, tools to work with the data model, and information about planned enhancements and updates. Data products:
DP1.10003.001 | Breeding landbird point counts, DP1.10022.001 | Ground beetles sampled from pitfall traps, DP1.10043.001 | Mosquitoes sampled from CO2 traps, DP1.10058.001 | Plant presence and percent cover, DP1.10072.001 | Small mammal box trapping, DP1.10092.001 | Tick pathogen status, DP1.10093.001 | Ticks sampled using drag cloths, DP1.20107.001 | Fish electrofishing, gill netting, and fyke netting counts, DP1.20120.001 | Macroinvertebrate collection, DP1.20219.001 | Zooplankton collection, DP1.20163.001 | Periphyton, seston, and phytoplankton chemical properties
Contributor name:
Eric Sokol
License:
MIT
Related collection system:
AOS (Aquatic Observation System), TOS (Terrestrial Observation System)
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eddy4Reddy4R is a family of open-source packages for eddy-covariance (EC) raw data processing, analyses and modeling in the R Language. Tier 3: NEON production code R language As described in Metzger et al. (2017), eddy4R is being developed by NEON scientists with wide input from the scientific community. eddy4R currently consists of the three public packages eddy4R.base, eddy4R.stor, and eddy4R.qaqc, with several additional packages in preparation (including eddy4R.turb, eddy4R.ucrt and eddy4R.erf). Data products:
DP4.00200.001 | Bundled data products - eddy covariance
Contributor name:
Stefan Metzger
License:
GNU Affero General Public v3.0
Related collection system:
TIS (Terrestrial Instrument System)
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geoNEONUse R to handle NEON geolocation data, including extracting spatial data from the API based on a named location, and calculating more precise locations for select observational data products. Tier 2: NEON certified code R language Contributor name:
Claire Lunch
License:
GNU Affero General Public v3.0
Related collection system:
AOS (Aquatic Observation System), TOS (Terrestrial Observation System)
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HemiPyA Python module for automated estimation of forest biophysical variables and uncertainties from digital hemispherical photographs. Tier 1: Community contributed code Python For details about HemiPy's algorithms for calculating leaf area index (LAI) and other biophysical metrics from hemispherical photos, see https://doi.org/10.1111/2041-210X.14199 Data products:
DP1.10017.001 | Digital hemispheric photos of plot vegetation
Contributor name:
Courtney Meier
License:
MIT
Related collection system:
TOS (Terrestrial Observation System)
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metScanRAccess meteorological data from a growing database that contains metadata for >100,000 stations from 219 countries or territories worldwide — including all NEON sites. Tier 2: NEON certified code R language Contributor name:
Josh Roberti
License:
GNU General Public v3.0
Related collection system:
TIS (Terrestrial Instrument System)
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NEON tree crown areaCalculate crown area of woody plants as seen from above based on height and diameter measurements. Tier 1: Community contributed code R language The dataset NEON.DOM.SITE.DP1.10098.001 - Woody plant vegetation structure provides structure measurements, including height, canopy diameter, and stem diameter, as well as mapped position of individual woody plants. However, crowns can overlap and they can also be fully contained within other crowns. In this script, overlapping crown areas are assigned to the taller individual, or split among individuals with the same height. Crown areas of smaller individuals completely covered by taller individuals are omitted. Data products:
DP1.10098.001 | Vegetation structure
Contributor name:
Anna Schweiger
License:
MIT
Related collection system:
AOP (Airborne Observation Platform), TOS (Terrestrial Observation System)
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NEON-AOP-H5toENVIRead AOP HDF5 formatted files from NEON airborne remote sensing surveys in ENVI. Tier 2: NEON certified code ENVI Contributor name:
David Hulslander
License:
BSD 3-clause 'new' or 'revised'
Related collection system:
AOP (Airborne Observation Platform)
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neonDissGasThis R package is for calculating dissolved gas concentrations in surface water samples from reference air and water equilibrated gas samples. Tier 2: NEON certified code R language Contributor name:
Kaelin Cawley
License:
GNU Affero General Public v3.0
Related collection system:
AOS (Aquatic Observation System)
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neonhsWork with NEON hyperspectral data, including extracting spectra from point locations. Tier 1: Community contributed code R language The goal of neonhs is to make data from the National Ecological Observatory Network (NEON) Airborne Observation Platform (AOP) hyperspectral instrument easier to use. It allows you to efficiently extract spectra from spatial point locations, without worrying about the details of how the hyperspectral data are structured and stored.
Data products:
DP3.30006.001 | Spectrometer orthorectified surface directional reflectance - mosaic
Contributor name:
Max Joseph
License:
GNU General Public v3.0
Related collection system:
AOP (Airborne Observation Platform)
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NEONisoThis R package provides functions for downloading and calibrating atmospheric isotope data bundled into the eddy covariance data products. Tier 1: Community contributed code R language This R package provides functions for downloading and calibrating atmospheric isotope data bundled into the eddy covariance data products. The carbon isotope calibration methods are described in Fiorella et al. (2021; JGR-Biogeosciences) and are available in the CRAN version of the package, while water isotope calibration methods remain in development on Github. Data products:
DP1.00036.001 | Atmospheric CO2 isotopes, DP1.00037.001 | Atmospheric H2O isotopes, DP4.00200.001 | Bundled data products - eddy covariance
Contributor name:
Rich Fiorella
Related collection system:
SAE (Surface Atmosphere Exchange), TIS (Terrestrial Instrument System)
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