The datafile contains the composition and abundance of airborne pollen in Kaikohe, New Zealand. The data was collected for the period between November 1988 to February 1989 as part of a nationwide survey of airborne pollen. This forms part of a study of the Australian Aerobiology working group (Haberle, Bowman, Newnham, Johnston, Beggs, Buters, Campbell, Erbas, Godwin, Green, Heute, Jaggard, Medek, Murray, Newbiggin, Thibaudon, Vicendese, Williamson, Davies “The macroecology of airborne pollen in Australian and New Zealand urban areas”).

This product has been superseded and will not be processed from early 2023. Please find the updated version 3 of this product at https://portal.tern.org.au/metadata/TERN/169dbb12-846f-4536-9dab-e31378d16b41. Two fractional cover decile products, green cover and total cover, are currently produced from the historical timeseries of seasonal fractional cover images. These products compare, at the per-pixel level, the level of cover for the specific season of interest against the long term cover for that same season. For each pixel, all cover values for the relevant seasons within a baseline period (1988 to 2013) are classified into deciles. The cover value for the pixel in the season of interest is then classified according to the decile in which it falls.

<p>The seasonal fractional cover product shows representative values for the proportion of bare, green and non-green cover across a season. It is a spatially explicit raster product that predicts vegetation cover at medium resolution (30&nbsp;m per-pixel) for each 3-month calendar season across Australia from 1987 to the present. The green and non-green fractions may include a mix of woody and non-woody vegetation. </p> <p>A 3 band (byte) image is produced:</p> <p>band 1 – bare ground fraction (in percent),</p> <p>band 2 - green vegetation fraction (in percent),</p> <p>band 3 – non-green vegetation fraction (in percent).</p> <p>The no data value is 255.</p>

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 datafile contains the composition and abundance of airborne pollen in Dunedin, New Zealand. The data was collected for the period from October 1992 to February 1993 as part of a nationwide survey of airborne pollen. This forms part of a study of the Australian Aerobiology working group (Haberle, Bowman, Newnham, Johnston, Beggs, Buters, Campbell, Erbas, Godwin, Green, Heute, Jaggard, Medek, Murray, Newbiggin, Thibaudon, Vicendese, Williamson, Davies “The macroecology of airborne pollen in Australian and New Zealand urban areas”).

An estimate of persistent green cover per season across Australia from 1989 to the present season, minus 2 years. This is intended to estimate the portion of vegetation that does not completely senesce within a year, which primarily consists of woody vegetation (trees and shrubs), although there are exceptions where non-woody cover remains green all year round. It is derived by fitting a multi-iteration minimum weighted smoothing spline through the green fraction of the seasonal fractional cover (dp1) time series. A single band image is produced: persistent green vegetation cover (in percent). The no data value is 255.

Data is provided from three survey types: nocturnal drive-by monitoring; ground counts; and exit counts. The nocturnal drive-by monitoring dataset provides information on species presence/absence at 124 sites across Christmas Island. The ground count dataset provides information on numbers of bats observed roosting in trees at known camp sites; while the exit count dataset records counts of bats exiting from the respective camp sites.

The datafile contains the composition and abundance of airborne pollen in Christchurch, New Zealand. The data was collected for the period between November 1988 to February 1989 as part of a nationwide survey of airborne pollen. This forms part of a study of the Australian Aerobiology working group (Haberle, Bowman, Newnham, Johnston, Beggs, Buters, Campbell, Erbas, Godwin, Green, Heute, Jaggard, Medek, Murray, Newbiggin, Thibaudon, Vicendese, Williamson, Davies “The macroecology of airborne pollen in Australian and New Zealand urban areas”).

This record contains information on the Plant Functional Type Classification, Richness and Cover in <i>Eucalyptus salubris</i> Woodlands, Great Western Woodland site. The data were generated across time since fire chronosequence, 2010-2011.

TERN (funded by NCRIS and EIF) has been developing coherent community-wide management structures for several of the required key data streams, so the relevant data are no longer unmanaged. eMAST builds on this infrastructure, by generating products that integrate the different streams of data e.g. water use and other ecosystem functions. The eMAST ANUClimate climate surfaces will be the first, continental 0.01 degree (nominal 1km) resolution climate surfaces generated using the Hutchinson et al. (ANU) methodology. Combined with the ancillary bioclimatic, ecosystem variables and indices derived from these data, this will be the first complete collection of its kind made publically available as a single resource. This collection of datasets, is a resource for the ecosystem science community and enhances the capacity for research. For example the development of an advanced benchmarking system for terrestrial ecosystem models (i.e. PALS). In addition, the data will be made accessible through the SPEDDEXES web-interface at the NCI, making the data sets conveniently available to a wide audience/community. The datasets generated within the scope of eMAST focus on Australia ecosystems, but are expected to encourage global as well as national interests, because of the universal data formats use. The project is thus expected to facilitate ecosystem modellers to perform comparative analyses of model performance; build new connections between Australian and overseas researchers, and between different research communities in Australia; and accelerate the development, testing and optimization of terrestrial ecosystem models. Working towards the next generation of robust, process based ecosystem models; we are synthesizing observations of plant biophysical and physiological traits, developing gridded surfaces of these traits, and working with TERN MultiScale Plot Network to improve national coverage of trait measurements. Working in collaboration with international collaborators from NEON and NCAR; eMAST are demonstrating and developing Australia capacity for making models utilise these information rich collections. More information about this collection can be found at http://www.emast.org.au