South Eastern Queensland 1 Eddy Covariance and Meteorological Data Collection 

This collection comprises the releases of metadata records for the ALTAR South Eastern Queensland 1 flux tower. Each release contains measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques, with additional meteorological measures. Data are processed using EddyPro, and then PyFluxPro as described by Isaac et al. (2017). PyFluxPro produces a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER). The version of PyFluxPro used in the processing can be found within the metadata of the relevant NetCDF product. The ALTAR South Eastern Queensland 1 site is an open pasture dominated by exotic grass and forb species. 

We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. This research site is managed by the Queensland University of Technology. This work is jointly funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project with co-investment by the Queensland Government Research Infrastructure Co-investment Fund (RICF) We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. 

Data not provided. 

Fast (20Hz) data is processed into 30-minute covariances using EddyPro, and then subject to the quality control process utilised in PyFluxPro to generate datasets from L1 to L6. Levels 3 to 6 are available for reuse. Datasets contain Quality Controls flags which will indicate when data quality is poor and has been filled from alternative sources. Refer to Isaac et al. (2017) for more details.