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6. Carbon uptake and water use in woodlands and forests in southern Australia during an extreme heat wave event in the “Angry Summer” of 2012/2013

7. Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

10. The validity of optimal leaf traits modelled on environmental conditions

11. A continental-scale assessment of variability in leaf traits : Within species, across sites and between seasons

17. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

26. Termite sensitivity to temperature affects global wood decay rates

29. Brave new green world – Consequences of a carbon economy for the conservation of Australian biodiversity

33. Insights Into the Aerodynamic Versus Radiometric Surface Temperature Debate in Thermal‐Based Evaporation Modeling

35. Insights Into the Aerodynamic Versus Radiometric Surface Temperature Debate in Thermal-Based Evaporation Modeling

36. Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network

37. Termite sensitivity to temperature affects global wood decay rates

38. Termite sensitivity to temperature affects global wood decay rates

40. Water Stress Explains the Aerodynamic versus Radiometric Surface Temperature Paradox in Thermal-based Evaporation Modeling

41. Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network

42. Author Correction:The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data (Scientific Data, (2020), 7, 1, (225), 10.1038/s41597-020-0534-3)

43. Drought Rapidly Diminishes the Large Net CO2 Uptake in 2011 Over Semi-Arid Australia

44. Temperature sensitivity of termites determines global wood decay rates

48. The FLUXNET 20165 dataset and the ONEFlux processing pipeline for eddy covariance data

49. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

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