Carbon, energy, and water flux data from annual and perennial agroecosystems

This dataset contain meteorological and eddy covariance flux data
collected at the University of Illinois Energy Farm from 2017 to 2022.
Data collected prior to 2017 can be found on the Ameriflux network
(https://ameriflux.lbl.gov/) under sitenames UiA, UiB, UiC, and UiD.
DOI's for these datasets are included in the related works
section. As of 2025, Ameriflux data submissions for 2017 onward
(including for new sites UiE, UiF and UiG), are ongoing. While the
unpublished data may be accessed here, they have not yet undergone the
rigorous Ameriflux QC process. Thus, the Ameriflux-published version
should be the ultimate version of record.  Five experimental
plots are represented:  Maize-soy 1 (US-UiC; MaizeBasalt)
Maize-soy 2 (US-UiG; MaizeCon) Miscanthus 1 (US-UiB; MiscanthusBasalt)
Miscanthus 2 (US-UiF; MiscanthisControl) Sorghum (US-UiE; Sorghum) The
files in this dataset are in one of two forms: an Ameriflux-submission
ready .csv which follows Ameriflux variable conventions
(https://ameriflux.lbl.gov/data/aboutdata/data-variables/), or analogous
"Level 2" .nc from the PyFluxPro post-processing tool
(https://github.com/OzFlux/PyFluxPro/wiki), following the corresponding
variable conventions
(https://github.com/OzFlux/PyFluxPro/wiki/Variable-names-and-attributes#variable-naming-rules).  Both types of files include half-hourly flux and meteorological data as processed from the original 10Hz files using EddyPro software (LiCor Environmental). The data have been further processed in PyFluxPro to conform to standard variable naming conventions (described above), and have had unreasonable data values removed through a combination of automated and manual QC. Also included are external data that can be used to fill gaps in the half-hourly time series. Three data sources are represented: ERA5, ISD, and MODIS. These files contain values extracted from ERA5, ISD, or MODIS for the energy farm; since all experimental plots are within 650m of each other, the same values are used to gap fill all plots.