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Dryad

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

Data files

Mar 14, 2025 version files 162.53 MB

Abstract

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 While the unpublished data may be accessed here, they have not yet undergone the rigorous Ameriflux QC process.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.