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    The data set contains information on: sediment characteristics, univariate indices of the macrofauna community and ecosystem functions (net primary production, sediment oxygen consumption and nutrient cycling).

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    The data set contains information on Camera Trap Fauna Survey conducted in the Samford Peri-urban Site in 2017. Information on the camera trap site location, height, observation time, species identification and related field remarks have been presented in this data set.

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    Wood block decomposition assessment at the Gingin Banksia Woodland site is part of a global program looking at the influence of microbes and invertebrates on wood decay. A common protocol was developed exposing small (~400 cm3) pieces of a wood-substrate (untreated Pinus radiata) to the environment excluding and not-excluding macroinvertebrates (e.g. termites) by the use of a plastic mesh.

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    Wood block decomposition assessment at the Calperum Mallee site is part of a global program looking at the influence of microbes and invertebrates on wood decay. A common protocol was developed exposing small (~400 cm3) pieces of a wood-substrate (untreated Pinus radiata) to the environment excluding and not-excluding macroinvertebrates (e.g. termites) by the use of a plastic mesh.

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    <p>The dataset contains raw records on the frequency and % cover of Australian plant species stored in TERN's AEKOS as at 23 February 2017. There is information on basal area data in addition.The data includes plant records for the following datasets: [1] Australian Ground Cover Reference Sites Database, [2] Biological Survey of South Australia - Vegetation Survey - Biological Database of South Australia, [3] Atlas of NSW database: VIS flora survey module, [4] Queensland CORVEG Database, [5] TERN AusPlots Rangelands, [6] Transects for Environmental Monitoring and Decision Making (TREND) (2013-present) and the [7] TREND-Biome of Australia Soil Environments (BASE). </p> Soil samples for physical structure and chemical analysis (14 sites) throughout Australia were also incorporated in addition (starting 2013). The sites were: [1] AusCover Supersites SLATS Star Transects, [2] Biological Survey of the Ravensthorpe Range (Western Australia), [3] Biological Survey of South Australia - Roadside Vegetation Survey, [4] Biological Database of South Australia, [5] South-Western Australian Transitional Transect (SWATT), [6] Koonamore Vegetation Monitoring Project (1925-present), [7] Desert Ecology Research Group Plots (1990-2011) and Long Term Ecological Research Network (2012-2015), Simpson Desert, [8] Western Queensland, Australia (plants only) and [9] the TERN AusPlots Forest Monitoring Network - Large Tree Survey - 2012-2015. In total, 97,035 sites were extracted and downloaded for individual and population levels. The download package contains site location files, separate data files for individual and population levels, citation details for individual surveys and notes on how to interpret the download.

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    Knowledge on the spatial distribution and inter-specific association patterns in tree species is essential in plant ecology to understand ecological mechanisms and dynamic process operating in spatial distribution of a tree population in a plant community. We measured and compiled datasets on three tropical tree species from a moist semi deciduous forest. We used the software Programita to perform univariate and bivariate point pattern analysis by Ripley's L-function. These datasets can be used to inform on possibilities of interaction of these species in forest stands. These datasets can be also used to access the capacity of each tree of <i>Mansonia altissima</i> var. <i>altissima</i> A. Chev. to develop and grow or its exclusion probability within a plant community. <i>Mansonia altissima</i> A. Chev. is a plant species represented by only one-population in a moist semi-deciduous forest in Republic of Benin. Our project aims to understand its ecology for restoration and conservation purposes within its natural habitat as well as other habitats inside of its distribution range.

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    Wood block decomposition assessment at the Samford Peri-Urban site is part of a global program looking at the influence of microbes and invertebrates on wood decay. A common protocol was developed exposing small (~400 cm3) pieces of a wood-substrate (untreated Pinus radiata) to the environment excluding and not-excluding macroinvertebrates (e.g. termites) by the use of a plastic mesh.

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    Wood block decomposition assessment at the Daintree Rainforest, Cape Tribulation site is part of a global program looking at the influence of microbes and invertebrates on wood decay. A common protocol was developed exposing small (~400 cm3) pieces of a wood-substrate (untreated Pinus radiata) to the environment excluding and not-excluding macroinvertebrates (e.g. termites) by the use of a plastic mesh.

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    Wood block decomposition assessment at the Litchfield Savanna site is part of a global program looking at the influence of microbes and invertebrates on wood decay. A common protocol was developed exposing small (~400 cm3) pieces of a wood-substrate (untreated Pinus radiata) to the environment excluding and not-excluding macroinvertebrates (e.g. termites) by the use of a plastic mesh.

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    Foliage Projective Cover (FPC) is the percentage of ground area occupied by the vertical projection of foliage. The Remote Sensing Centre FPC mapping is based on regression models applied to dry season (May to October) Landsat-5 TM, Landsat-7 ETM+ and Landsat-8 OLI imagery for the period 1988-2014. An annual woody spectral index image is created for each year using a multiple regression model trained from field data collected mostly over the period 1996-1999. A robust regression of the time series of the annual woody spectral index is then performed. The estimated foliage projective cover is the prediction at the date of the selected dry season image for 2014. Where this deviates significantly from the woody spectral index for that date, further tests are undertaken before this estimate is accepted. In some cases, the final estimate is the woody spectral index value rather than the robust regression prediction. The product is further masked to remove areas classified as non-woody.