Gridded near-surface (2 and 10 m) daily average wind datasets for Australia from 1975 to 2018 have been constructed by interpolating observational data collected by the Australian Bureau of Meteorology (BoM). The new datasets span Australia at 0.05 × 0.05° resolution with a daily time step. The datasets were constructed by blending observational data collected at various heights using local surface roughness information.

Data on weather conditions at the Warra Tall Eucalypt site collected between 2004 - 2012. Data includes daily maximum and minimum temperatures, wind speed, wind direction, rainfall and humidity.

Data on weather conditions at the Robson Creek Rainforest site collected between 2010 - 2014. Weather station data includes daily records of air temperature, wind speed, solar radiation, relative humidity and rainfall.

Data on weather conditions at the Daintree Rainforest, Cow Bay site collected between 2008 - 2014. Weather station data includes daily records of air temperature, wind speed, solar radiation, relative humidity and rainfall.

Data on weather conditions at the Daintree Rainforest, Cape Tribulation site collected between 2006 - 2014. Weather station data includes daily records of air temperature, wind speed, solar radiation, relative humidity and rainfall.

Data on weather conditions at the Great Western Woodlands site collected between 2012 - 2016. Data includes half-hourly records of radiation and net radiation at 3 m (2012) and 36 m (2013 - 2016), mean wind speed and wind direction at 3 m (2012) and 36 m (2013 - 2016), air temperature and relative humidity at 3 m (2012) and 36 m (2013 - 2016), atmospheric pressure at 3 m (2012) and 36 m (2013 - 2016), ground heat flux at -8cm, and rainfall at 0.5m

Dynamically downscaled high-resolution (~10 km spatial resolution) climate change projection data for Queensland. Downscaling was completed using CSIRO Conformal Cubic Atmospheric Model (CCAM) for two RCPs (RCP4.5 and RCP8.5) from 11 CMIP5 global coarse resolution models for period 1980-2099. The Queensland Future Climate Dashboard (www.longpaddock.qld.gov.au/qld-future-climate/ ) provides easy access to climate projection for Queensland. The dashboard allows users to explore, visualize and download the latest high-resolution climate modelling data for specific regions, catchments, disaster areas, local government areas and grid squares. Underlying data is provided via TERN for easy access for each of 11 downscaled models. The Queensland Future Climate Dataset provides high resolution data for over 30 different metrics grouped in six climate themes: (i) Mean Climate; (ii) Heatwaves; (iii) Extreme Temperature Indices; (iv) Extreme Precipitation Indices; (v) Droughts; and (vi) Floods. In addition selected variables at daily and monthly intervals are also available.

<br>This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using PyFluxPro (v3.5.0) 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).</br> <br>The site is classified as box woodland, dominated by two main eucalypt species: <em>Eucalyptus microcarpa</em> (grey box) and <em>Eucalyptus leucoxylon</em> (yellow gum). The site has an elevation of 165&nbsp;m. Mean annual precipitation measured by the nearby Bureau of Meteorology site is 558&nbsp;mm. Maximum temperatures range from 12.6&nbsp;°C (in July) to 29.8&nbsp;°C (in January), while minimum temperatures range from 3.2&nbsp;°C (in July) to 14.2&nbsp;°C (in February). Maximum temperatures vary on a seasonal basis by approximately 17.2&nbsp;°C and minimum temperatures by 11.0&nbsp;°C.</br> <br>The instrument mast is 36&nbsp;m tall. Heat, water vapour and carbon dioxide measurements are taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation are measured above the canopy. Soil heat fluxes are measured and soil moisture content is gathered using time domain reflectometry.</br>

<br>This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using PyFluxPro (v3.4.15) 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).</br><br> Yarramundi Control Paddock site is located near Richmond, NSW (GPS coordinates -33.613469, 150.734864). The site is about 1&nbsp;km east of the Cumberland Plain Woodland flux tower. The climate is warm-temperate, with annual rainfall averaging 728&nbsp;mm, mean maximum temperature in January of 30.4&deg;C and mean minimum temperature in July of 3.6&deg;C (BOM station 067105). The elevation of the site is about 20&nbsp;m asl and the topography is flat. The soil is sandy loam in texture, organic carbon content is <1% nutrient availability is very low in the top 10&nbsp;cm; iron concretions below 50&nbsp;cm indicate poor drainage at times. The vegetation canopy is less than 1&nbsp;m tall, and the plant community is dominated by exotic herbaceous perennials, including <em>Conyza sumatrensis</em>, <em>Setaria parviflora</em>, <em>Cynodon dactylon</em>, <em>Commelina cyanea</em>, <em>Senecio madagascariensis</em>, and <em>Eragrostis curvula</em>. <br /> <br> Fluxes of water vapour, carbon dioxide and heat are quantified with the open-path eddy flux technique from a 2.5&nbsp;m tall mast. Additional measurements above the canopy include temperature, humidity, rainfall and net radiation, and photographs are taken several times per day to track canopy greenness.</br>

<br>This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using PyFluxPro (v3.4.15) 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).</br> <br /> The flux station was established in August 2011 while the site supported tropical savanna. The site was part of a deforestation experiment measuring greenhouse gas exchange during conversion of forest to farmland. The land was being cultivated for watermelon production from 2013.<br /><br />