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    This data contains ant abundance and incidence collected in the core 1 ha plot within the Robson Creek Rainforest site.

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    The dataset contains records of Robber Crab (Birgus latro) mortality across Christmas Island, including location co-ordinates and details of sex and thoracic length. To manage the impact of road mortality on the species, this monitoring project is designed to assess spatial variation in road mortality. Basic data are collected at the site (sex, size, date, coordinates).

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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 (v3.4.4) 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 /> Fletcherview Tropical Rangeland SuperSite was established in 2021 at James Cook University’s Fletcherview Research Station, a fully operational outback cattle station located 50 km west of Townsville, Queensland. The site is used for cattle grazing and is characterised by tall open savanna. The vegetation is dominated by native grasses such as blackspear and kangaroo grasses, as well as introduced species like buffel grass, signal grass and leucaena. Fletcherview typically experiences a dry and wet season, with most rainfall occurring between January and April. <br />For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/fletcherview-tropical-rangeland-supersite/. <br />This data is also available at http://data.ozflux.org.au .<br />

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    Terrestrial laser scans were acquired in native Eucalypt Open Forest (dry sclerophyll Box-Ironbark forest) in Victoria, Australia. Two plots (RUSH06 and RUSH07) with a 40 m radius were established in Rushworth forest and partially harvested in May 2012 to acquire accurate estimates of above-ground biomass. The main tree species in these plots were Eucalyptus leucoxylon, Eucalyptus microcarpa and Eucalyptus tricarpa. Single trees were extracted from the TLS data and quantitative structure models were used to estimate the tree volume directly from the point cloud data. Above-ground biomass (AGB) was inferred from the derived volumes and basic wood density information, and compared with estimates of above-ground biomass derived from allometric equations and destructive sampling. See <a href="https://doi.org/10.1111/2041-210X.12301">Calders et al. (2014)</a> and <a href="http://www.vcccar.org.au/publication/final-report/comprehensive-carbon-assessment-program">Murphy et al. (2014)</a> for further information.

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    The island weeds database contains weed records for 697 islands and 1995 plant species. Data sources cited span between 1913 and 2014. To compound the value of the database, original species identifications were verified by Parks and Wildlife botanists and species names were updated to current taxonomy using the WA census data housed within MAX Version 3.0 (Woodman and Gioia 2016). We do not present any interpretation of the data with this data submission. GPS coordinates for weeds were largely unavailable, so most coordinates provided within the database are island centroids. Woodman, S. & Gioia, P. (2016) Max Version 3. Department of Parks and Wildlife, Perth. Available from: http://www.dpaw.wa.gov.au/max.

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    This dataset contains UAV RGB imagery collected as part of a field trial to test the Uncrewed Aerial System to be used for the TERN Drone project. The UAS platform is DJI Matrice 300 RTK with 2 sensors: Zenmuse P1 (35 mm) RGB mapping camera and Micasense RedEdge-MX (5-band multispectral sensor). P1 imagery were georeferenced using the onboard GNSS in M300 and the D-RTK 2 Mobile Station. Camera positions were post-processed using <a href="https://www.ga.gov.au/scientific-topics/positioning-navigation/geodesy/auspos">AUSPOS</a>. The flight took place between 14:00 and 14:08 at a height of 80m with a flying speed set to 5 m/s. Forward and side overlaps of photographs were set to 80%. <br><br> Agisoft Metashape was used to generate this RGB orthomosaic (resolution 1 cm). This cloud optimised GeoTIFF was created using rio command line interface. The coordinate reference system of the orthomosaic is EPSG 7855 - GDA2020 MGA Zone 55.

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    This dataset contains UAS RGB and multispectral raw images and orthomosaics of the Calperum Mallee SuperSite SASMDD0001. The drone platform used was DJI Matrice 300 (M300) RTK. Two sensors were flown simultaneously: Zenmuse P1 (35 mm) RGB mapping camera and MicaSense RedEdge-MX Dual (10-band multispectral sensor). The RGB images were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 base station. In the processing workflow, the multispectral image positions (captured with navigation-grade accuracy) were interpolated using image timestamp and RGB image coordinates. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate both the RGB (1 cm/pixel) and multispectral (5 cm/pixel) orthomosaics. rio-cogeo plugin was used to generate Cloud Optimised GeoTIFFs. Details of the data collection settings and processing workflow are described in further sections. Note on multispectral data: in the raw data image file suffixes correspond to bands - 1: Blue, 2: Green, 3: Red, 4: NIR, 5: Red Edge, 6: Coastal Blue, 7: Green 531, 8: Red 650, 9: RedEdge 705, 10: RedEdge 740. In the orthomosaic, the bands (1-10) are ordered by the Central Wavelength (Coastal Blue, Blue, Green 531, Green, Red 650, Red, RedEdge 705, RedEdge, RedEdge 740, NIR).

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    River sites were sampled during the summers of 2008/09 and 2009/10 in a survey designed to identify correlations between commonly used river condition variables and grazing land-use. Potential stream sites in northern Tasmania were screened by catchment size, northing and slope, and according to attributes aimed at minimising confounding variables, maintaining broad consistency in landscape and geomorphological context, and promoting independence among sites. A set of 27 survey sites was selected across a gradient from low to high proportion of land under grazing in their upstream catchments. Catchment sizes varied from 20-120 km2 and proportion grazing from 0-80%. Macroinvertebrates were sampled using Surber sampler. All macroinvertebrates within a 20% sub-sample identified to family and counted, with individuals from the insect orders Ephemeroptera, Plecoptera and Trichoptera identified to genus/species (by Laurie Cook, UTAS). Algal abundance was estimated at each site as the proportion of algal cover and as areal density of benthic chlorophyll a. Physical data variables collected were: water temperature, conductivity, turbidity, pH, total alkalinity, nitrate+nitrate, dissolved reactive phosphorus, total nitrogen, total phosphorus, overhead shading, the proportion of fine sediments within the sampled riffle zone, accumulated abstraction index and accumulated regulation index. For more information see: See Magierowski RH, Read SM, Carter SJB, Warfe DM, Cook LS, Lefroy EC and Davies PE. Inferring landscape-scale land-use impacts on rivers using data from mesocosm experiments and artificial neural networks. PLOS ONE.

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    This dataset contains UAS RGB and multispectral raw images and orthomosaics of Calperum plot SASMDD0012. The drone platform used was DJI Matrice 300 (M300) RTK. Two sensors were flown simultaneously: Zenmuse P1 (35 mm) RGB mapping camera and MicaSense RedEdge-MX Dual (10-band multispectral sensor). The RGB images were geo-referenced using the onboard GNSS in M300 and the D-RTK 2 base station. In the processing workflow, the multispectral image positions (captured with navigation-grade accuracy) were interpolated using image timestamp and RGB image coordinates. Dense point clouds and the fine-resolution RGB smoothed surface were used to generate both the RGB (1 cm/pixel) and multispectral (5 cm/pixel) orthomosaics. rio-cogeo plugin was used to generate Cloud Optimised GeoTIFFs. Details of the data collection settings and processing workflow are described in further sections. Note on multispectral data: in the raw data image file suffixes correspond to bands - 1: Blue, 2: Green, 3: Red, 4: NIR, 5: Red Edge, 6: Coastal Blue, 7: Green 531, 8: Red 650, 9: RedEdge 705, 10: RedEdge 740. In the orthomosaic, the bands (1-10) are ordered by the Central Wavelength (Coastal Blue, Blue, Green 531, Green, Red 650, Red, RedEdge 705, RedEdge, RedEdge 740, NIR).

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    This data contains ant abundance and incidence collected in the core 1 ha plot within the Daintree Rainforest, Cape Tribulation site.