Carbon fluxes, meteorological, soil variables from GC Flux Tower, IMLCZO/CINet

15-minute time-series data from flux tower at Goose Creek site, originally part of the NSF-IMLCZO project, currently NSF-CINet. Variables include: wind speed, carbon flux (NEE), pressure, precipitation, air temperature, relative humidity, 5cm depth soil moisture, 5cm depth soil temperature, solar radiation, ground heat flux. These are raw data, date range of 2016-2020, used in Farahani and Goodwell, 2024 (JGR Biogeosciences, DOI: 10.1029/2023JG007815): Causal Drivers of Land-atmosphere fluxes from machine learning models and data. The associated Github repository (https://github.com/allisongoodwell/Farahani_CarbonML2023) contains code for the outlier removal and pre-processing applied to this data, which were used for machine learning models for carbon flux prediction.