Schools Weather and Air Quality (SWAQ) is a citizen science project funded by the Department of Industry, Innovation and Science as part of its Inspiring Australia - Citizen Engagement Program. SWAQ is equipping public schools across Sydney with research-grade meteorology and air quality sensors, enabling students to collect and analyse research quality data through curriculum-aligned classroom activities. The network includes twelve automatic weather stations and seven automatic air quality stations, stretched from -33.5995° to -34.0421° latitude and from 150.6913° to 151.2708° longitude. The average spacing is 10.2 km and the average installation height is 2.5 m above ground level. Optimum site allocation was determined by undertaking a multi-criteria weighted overlay analysis to ensure data representativeness and quality. Six meteorological parameters (dry-bulb temperature, relative humidity, barometric pressure, rain, wind speed, and wind direction) and six air pollutants (SO2, NO2, CO, O3, PM2.5, and PM10) are recorded. Observations and metadata are available from September 2019 for WXT536 + AQT420 stations and from October 2019 for WXT536 stations (refer to Table 1 of the Dataset Guide), thus encompassing the Black Summer bushfire and the COVID-19 lockdown period. Data routinely undergo quality control, quality assurance and publication.

The data set contains information on leaf ¹³C isotope composition studied on three species, <i>Maireana sedifolia</i>, <i>Ptilotus obovatus</i> and <i>Eremophila scoparia</i> from the core 1 ha Salmon Gum plot at the Credo, Great Western Woodland site.

The data set contains information on topsoil chemistry for 20, 10&nbsp;cm deep soil cores sampled along an elevation gradient (40-1550&nbsp;m a.s.l.) in Far North Queensland. Information on soil C:N, N:P and C:P ratios and soil pH and organic matter content are provided. Soil elemental composition such as calcium, potassium, phosphorus, sulphur, iron, manganese, boron, aluminum, copper, zinc, lead, chromium, and cadmium are also provided. In addition, the data set contains information on soil δ¹³C and δ¹⁵N isotope concentration.

The record contains information on leaf trait and stable isotope data of <i>Eucalyptus salubris</i> trees in the Credo Flux tower area, from the Great Western Woodlands Site. Data on individual tree height, stem circumference and leaf traits such as leaf thickness, leaf mass, leaf density, specific leaf area, leaf chemical data, including the d¹³C and d¹⁵N content are provided. In addition, data on soil chemical analysis from the site are provided.

The record contains information on leaf chemistry studied on co-occurring tropical mountaintop restricted tree species from various mountaintop sites in Far North Queensland in 2019. Data on leaf stable carbon and nitrogen isotope concentrations, and elemental chemistry such as carbon, nitrogen, phosphorous, calcium, magnesium, potassium, sodium, copper, boron, sulfur, zinc and manganese are provided.

This dataset contains leaf functional trait measurements describing leaf structure, chemistry and metabolism collected from the Daintree Rainforest, Cape Tribulation site, in the dry season 2012 and wet season 2014.

The record contains information on the leaf level physiology, chemistry and structural traits data measured from dominant tree and shrub species from the Great Western Woodlands Site in 2013. Data on leaf level physiology parameters associated with light saturated photosynthesis and intercellular carbon dioxide curves (AC_i), and leaf dry mass per leaf area trait (LMA) and leaf nitrogen and phosphorous content are provided.

This dataset contains leaf functional trait measurements describing leaf structure, chemistry and metabolism collected from the Calperum Mallee site, in 2013.

This dataset contains leaf functional trait measurements describing leaf structure, chemistry and metabolism collected from the Alice Mulga site in 2014

This dataset contains leaf functional trait measurements describing leaf structure, chemistry and metabolism collected from the Great Western Woodlands site in 2013.