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From 1 - 10 / 817
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    This data contains a list of all vascular plants surveyed in the Wombat Stringybark Eucalypt site between 2014 and 2018.

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    The data set contains information on air temperature and relative humidity at heights 1m and 3m from three sensors at each height and a global solar radiation at 3m, mean wind speed and gust speed at 3m measured from the Bowen ratio energy balance Flux tower site, Great Western Woodlands Site.

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    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.

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    The record contains information on beetle succession in decaying <i>Eucalyptus obliqua</i> logs, from 1999-2009. Data on beetle species identification, field sampling notes, and collection details from eucalyptus logs across the decade range from 1999 - 2009 are provided.

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    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<sub>i</sub>), and leaf dry mass per leaf area trait (LMA) and leaf nitrogen and phosphorous content are provided.

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    The record contains information on rainfall data recorded between 1995-2011 from 17 rain gauges across the Calperum Mallee Site, Calperum Station, South Australia. Data on mean monthly and annual rainfall and standard deviation is provided for each site, along with annual rainfall totals.

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    This data contains soil physico-chemical characteristics collected at the Daintree Rainforest, Cow Bay site between 2011 - 2014.

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    <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 (v3.4.17) 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>Tumbarumba flux station is located in Bago State Forest in south eastern New South Wales. It was established in 2000 and is managed by CSIRO Marine and Atmospheric Research. The forest is classified as wet sclerophyll, the dominant species is <em>Eucalyptus delegatensis</em>, and average tree height is 40&nbsp;m. Elevation of the site is 1200&nbsp;m and mean annual precipitation is 1000&nbsp;mm. Bago and Maragle State Forests are adjacent to the south west slopes of southern New South Wales and the 48,400&nbsp;ha of native forest have been managed for wood production for over 100 years. The instrument mast is 70&nbsp;m tall. Fluxes of heat, water vapour and carbon dioxide are measured using the open-path eddy flux technique. Supplementary measurements above the canopy include temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation. Profiles of temperature, humidity and CO<sub>2</sub> are measured at seven levels within the canopy. Soil moisture content is measured using time domain reflectometry. Soil heat fluxes and temperature are also measured. Hyper-spectral radiometric measurements are being used to determine canopy leaf-level properties.</br>

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    This data release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer in semi-arid eucalypt woodland using eddy covariance techniques. It been processed using PyFluxPro (v3.3.0) as described in Isaac et al. (2017), <a href="https://doi.org/10.5194/bg-14-2903-2017">https://doi.org/10.5194/bg-14-2903-2017</a>. PyFluxPro takes data recorded at the flux tower and process this data to a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER). For more information about the processing levels, see <a href="https://github.com/OzFlux/PyFluxPro/wiki">https://github.com/OzFlux/PyFluxPro/wiki</a>. <br /> <br /> The Tumbarumba flux station is located in the Bago State Forest in south eastern New South Wales. It was established in 2000 and is managed by CSIRO Marine and Atmospheric Research. The forest is classified as wet sclerophyll, the dominant species is Eucalyptus delegatensis, and average tree height is 40m. Elevation of the site is 1200m and mean annual precipitation is 1000mm. The Bago and Maragle State Forests are adjacent to the south west slopes of southern New South Wales and the 48,400 ha of native forest have been managed for wood production for over 100 years. The instrument mast is 70m tall. Fluxes of heat, water vapour and carbon dioxide are measured using the open-path eddy flux technique. Supplementary measurements above the canopy include temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation. Profiles of temperature, humidity and CO2 are measured at seven levels within the canopy. Soil moisture content is measured using Time Domain reflectometry, while soil heat fluxes and temperature are also measured. Hyper-spectral radiometric measurements are being used to determine canopy leaf-level properties. The Tumbarumba flux station is supported by TERN and the DCCEE through the ACCSP. <br />For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/tumbarumba-wet-eucalypt-supersite/. <br /><br />

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    This dataset consists of counts of plants and seeds for the ephemeral desert herb <i>Trachymene glaucifolia</i> obtained from the Ethabuka and Carlo Reserves in the Simpson Desert, Australia, from 2004-2011 by the Desert Ecology Research Group (DERG) in conjunction with LTERN. It also consists of monthly rainfall data obtained from 1995-2012. Collectively, the dataset was used to construct Multivariate Auto-regressive State-Space (MARSS) models for the manuscript "Reducing common sources of uncertainty in time series population data using MARSS models". For more information see: DERG : https://www.desertecology.edu.au