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Terrestrial Ecosystem Research Network

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    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 δ<sup>13</sup>C and δ<sup>15</sup>N isotope concentration.

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    The dataset can be reused for contintental-wide synthesis of the cover of Australian grasses. It consists of high quality, well-described plot-based data extracted from TERN repository on 13/3/2014. The data includes vegetation records for the Poaceae family from the following dataset: ABARES Ground Cover Reference Sites Database, Biological Survey of South Australia - Vegetation Survey, Biological Database of South Australia, Corveg (Queensland), TERN AusPlots Rangelands Survey Program, Biological Survey of the Ravensthorpe Range (Western Australia).The entire content of the portal was initially extracted using the portal's download feature to obtain the full extent of available data for the following all datasets. These data were loaded into a PostgreSQL database. Subsequently, a SQL query was built for each of the cited datasets which produced a flat table containing information about the survey name, site identifier, visit date, coordinates, species, abundance, biomass and/or cover class, filtering on species of the Poaceae family using a genus list obtained from the website of the Atlas of Living Australia (http://www.ala.org.au/).

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    This dataset indicates the presence and persistence of water across New South Wales between 1988 and 2012. Water is one of the world’s most important resources as it’s critical for human consumption, agriculture, the persistence of flora and fauna species and other ecosystem services. Information about the spatial distribution and prevalence of water is necessary for a range of business, modelling, monitoring, risk assessment, and conservation activities. For example, one of the necessary steps in the NSW State-wide Landcover and Trees Study (SLATS), which monitors vegetation change and is used in the production of vegetation maps, involves removing non-vegetative features such as water bodies through water masking. Water count The water count product is based on water index and water masks for NSW (Danaher & Collett 2006), and represents the proportion of observations with water present across the Landsat time series as a fraction of total number of possible observations in the 25yr period (1 Jan 1988 to 31 Dec 2012). The product has two bands where band 1 is the number of times water was present across the time series, and band 2 is the count of unobscured (i.e. non-null) input pixels, or number of total observations for that pixel. Cloud, cloud-shadow, steep slopes and topographic shadow can obscure the ability to count water presence. Water Prevalence The water prevalence product is extracted from the water count product and provides a measure of the relative persistence of water in the landscape (e.g. from always present to rarely and never present). There are 12 classes representing the percentage of time a pixel has had water present out of the total number of observations for that pixel (i.e Band 1/Band 2 of the water count product). Water prevalence mapping provides information for multiple, wide-reaching applications. For example, distance to locations of persistent water bodies can be modelled as a contributing indicator of potential biodiversity refugia. Files align with Landsat paths and rows (see https://www.usgs.gov/core-science-systems/nli/landsat/landsat-tools), with files for water count denoted 'dd7' and water prevalence 'ddh'.

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    High quality digital site reference images are captured for the core 1 hectare vegetation plot of the site on an annual basis to provide context for researchers to understand the general layout and vegetation of the study site, and as a visual reference to monitor any changes over time. Photopoints were taken annually using the five point photopoint method. The set of images for each year usually consists of twenty images: four images taken at each corner of the plot facing each of the four cardinal points, and four images taken from the center of the plot facing each corner. <br /> The Karawatha Peri-Urban Site was established in 2007 and decommissioned in 2018. The site was located in Eucalypt forest at Karawatha Forest. For additional site information, see https://deims.org/f15bc7aa-ab4a-443b-a935-dbad3e7101f4. <br /> Other images collected at the site include digital cover photography and ancillary images of fauna and flora.

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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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    <p>This dataset contains audio files for Karawatha Peri-Urban SuperSite. Karawatha Peri-Urban SuperSite was established in 2007 and decommissioned in 2018. The site was located in eucalypt forest at Karawatha Forest. For additional site information, see <a href="https://deims.org/f15bc7aa-ab4a-443b-a935-dbad3e7101f4">Karawatha Peri-Urban SuperSite</a></p> <p>A recorder was initially set up for three months in 2012 to collect acoustic data across different plots within the site. A second recorder was set up in 2014. This collected audio data for a total of 12 hours per day, split between six hours around dawn and six hours around dusk. The recording schedule aimed at capturing morning and evening bird choruses while minimizing memory and battery requirements. A long-term spectrogram has been generated for each audio file to aid in data exploration. The sensor also recorded temperature, minimum- maximum- and mean-sound pressure levels.</p> <p>Data are made available through the data link. For downloading large amount of data, please follow these instructions <a href="https://ternaus.atlassian.net/wiki/spaces/TERNSup/pages/2530148353/How+to+download+TERN+s+acoustic+data+in+bulk">How to download TERN's acoustic data in bulk</a></p>

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    <p>Digital Cover Photography (DCP) upward-looking images were collected annually to capture vegetation cover at the TERN Karawatha Peri-Urban SuperSite. These images can be used to estimate Leaf area index (LAI), Crown Cover or Foliage Projective Cover (FPC). </p><p> The Karawatha Peri-Urban SuperSite was established in 2007 and decommissioned in 2018. The site was located in Eucalypt forest at Karawatha Forest. For additional site information, see https://deims.org/f15bc7aa-ab4a-443b-a935-dbad3e7101f4 . </p><p> Other images collected at the site include photopoints and ancilliary images of fauna and flora. </p>

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    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.

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    The AEKOS Australian Vegetation sPlot dataset consists of high quality, well-described plot-based data extracted from the AEKOS (portal.aekos.org.au) on 11/11/2014. The data includes vegetation records for the following datasets: Australian Ground Cover Reference Sites Database, Biological Survey of South Australia - Vegetation Survey - Biological Database of South Australia, Atlas of NSW database: VIS flora survey module, Queensland CORVEG Database, TERN AusPlots Rangelands, Transect for Environmental Monitoring and Decision Making (TREND), AusCover Supersites SLATS Star Transects, Biological Survey of the Ravensthorpe Range (Western Australia).The portal's vegetation plot data was extracted using the portal's download feature to obtain the full extent of available data for the all datasets. In addition, an average cover value was calculated for each site using a slight modification of the ingestion scripts normally used to ingest the source data into AEKOS. The altitude values derived from a map layer using the site coordinates were obtained from the AEKOS index. Finally, land use and vegetation type were derived from map layers using the site coordinates. These data were loaded in different tables of a PostgreSQL database. Subsequently, two SQL queries were built to centralise the available data in two tables: table r_site containing the site specific data and table r_speciesobservations containing the individual data on observed specimen. A PostgreSQL backup file containing these two table was then built using the pg_dump tool. The dataset can be reused for contintental-wide or global synthesis of the cover of Australian vegetation.

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    The Landsat-derived fractional cover layer gives the amount of bare ground, green vegetation, and dead vegetation for each pixel on a specific date. The landscape of NSW undergoes a large variation in greenness throughout the seasonal and drought cycles. Information about the variation in greenness can be useful for a variety of mapping and planning tasks. Areas of green vegetation are important for native species habitat and human recreation activities. Green areas in the landscape are often related to the availability of near surface water or recent inundation, such as bogs, swamps and mires. These green areas are important for native plants and animals as locations of food and water in dry times. The green fraction has been analysed for a sequence of images to show how long an area stays green following a greening event, such as grass growth in response to rainfall. The map of green accumulation for NSW was created from Landsat images from 1988 to 2012. Areas exhibiting the highest values are the areas of NSW that respond with high green cover for a long period after a greening event.