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Point Resolution

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    The dataset includes three csv files: [1] effects of pre-inhabitation and viruses on the feeding behavior of <i>Rhopalosiphum padi</i> and <i>R. maidis</i> (min). [2] Effects of pre-inhabitation and viruses on the fecundity of<i> R. padi</i> and <i>R. maidis</i> (total offspring in laboratory and field). [3] Effect of pre-inhabitation and viruses on the host plant nutrient content (amino acids, total sterols, and simple sugars-mg/g). These data might be used by researchers studying positive interactions, effects of viruses on host plants and vectors, phytochemistry of the wheat plant, and feeding behavior of phloem-feeders.

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    High quality passive infrared wildlife cameras were used to acquire information on faunal biodiversity at the site. Two cameras were deployed from July to Dec 2018 and between March and May 2019. <br /><br /> The Gingin Banksia Woodland SuperSite was established in 2011 and is located in a natural woodland of high species diversity with an overstorey dominated by Banksia species. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/gingin-banksia-woodland-supersite/. <br /> Other images collected at the site include digital cover photography, phenocam time-lapse images taken from fixed under and overstorey cameras and ancillary images of flora.

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    This dataset is a collection of drone lidar data from plots across Australia (AusPlots, SuperSites, Cal/Val sites to be established in the future). The aim of these drone surveys is to capture vegetation structure. The standardised data collection and data processing protocols developed in 2022 are based on the DJI Matrice 300 (M300) RTK drone platform. Lidar sensor DJI Zenmuse L1 is used with DJI Matrice 300 (M300) RTK platform to capture RGB colourised 3D point clouds. The data is georeferenced using the onboard GNSS in M300 and the D-RTK 2 base station. DJI Terra software was used to generate 3D point clouds from the raw lidar data. The protocols include flight planning and data collection guidelines for a 100 x 100 m TERN plot, and the processing workflow used on DJI Terra. Mission-specific metadata for each plot is provided in the imagery/metadata folder (please refer to the imagery collection). The Drone Data Collection and Lidar Processing protocols can be found at <em> https://www.tern.org.au/field-survey-apps-and-protocols/ </em>.

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    This dataset includes volumetric soil water content measured across soil pits in the lowland rainforest of Cape Tribulation. Data were acquired using time-domain reflectometry (TDR) probes recording at soil surface (10 cm) and at depths (50, 100 and 150 cm) at 4 control points - PB1 and PB8 are in the SW quadrant of the crane plot, PB2 and PB5 are in the NW quadrant of the crane plot.

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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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    <p>This dataset contains audio files for TERN Boyagin Wandoo Woodland SuperSite. Long-term recordings of the environment can be used to identify sound sources of interest, characterise the soundscape, aid in the assessment of fauna biodiversity, monitor temporal trends and track environmental changes.</p> <p>The site was established in 2017 at the Boyagin Nature Reserve with research plots located in Wandoo woodland (<em>Eucalypt sp.</em>). The core 1&nbsp;ha plot is located in a dense eucalypt woodland. For additional site information, see <a href="https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/boyagin-wandoo-woodland-supersite/">Boyagin Wandoo Woodland SuperSite</a></p> <p>In 2018 an acoustic recorder was set up to collect 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.</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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    The Daintree Rainforest SuperSite comprises two sites (a) the Daintree Rainforest Observatory at Cape Tribulation, comprising a long-term monitoring sites, canopy crane, and extensive researcher and teaching infrastructure and (b) research facilities at the Daintree Discovery Centre at Cow Bay, an award winning ecotourism interpretive centre featuring a canopy tower, aerial walkway and scientific monitoring. This dataset contains high quality passive infrared wildlife cameras were used to acquire information on faunal biodiversity at the Daintree Discovery Centre at Cow Bay. One camera trap was deployed adjacent to the 1 ha core plot between 22/01/2017 and 08/06/2017. The core plot is located within the fetch of the flux tower and is the focal site of recurrent monitoring. The camera (Reconyx HC600 HyperFire) was attached to a tree at 0.5 metre high. <br> The forest is classed as complex mesophyll vine forest (type 1a) and has an average canopy height of 25m. The dominant canopy trees belong to the Arecaceae, Euphorbiaceae, Rutaceae, Meliaceae, Myristicaceae and Icacinaceae families. It is continuous for several kilometres around the Cow Bay Tower except for an area 600m north-east of the flux tower, which is cleared agricultural land used for a cattle farm. For additional information on the Daintree Rainforest SuperSite, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/daintree-rainforest-supersite/ <br /><br /> Other images collected at the site include digital cover photography, phenocam time-lapse images (3 above canopy, 1 under canopy), panoramic landscape and photopoints. <br /><br /> <iframe frameborder="0" src="https://www.youtube.com/embed/7VkIFIWfrkQ" title="Camera trap results for the Daintree Discovery Centre between January and April 2017" style="height:248px;width:462px;"></iframe> <br />Camera trap results for the Daintree Discovery Centre between January and April 2017.

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    In 1963, the Glen Canyon Dam, in Hite Utah was completed, creating the Lake Powell reservoir along the Colorado River. The water levels of Lake Powell peaked in 1983 and have declined since, releasing over-pressure on the underlying sediment. This release in over-pressure created mud volcanoes, structures along the shoreline made of cavities that allow fluid and gases to rise to the surface and escape. Green house gases including methane are released from these structures, and to better understand how development of natural wetlands can result in unintended increased levels of greenhouse gas emissions, we asked 1) how much of each gas is generated or and whether the amount of each gas is changing through time and 2) how are these gases forming in the subsurface? We first measured the amounts of carbon dioxide (CO2), methane (CH4), and air (N) in volcano gas samples collected in 2014, 2015, and 2016. We found that from 2014 through 2016, methane levels from these volcanoes fluctuated significantly. In 2016, we looked at the amounts of carbon and hydrogen isotopes in the methane, which told us the gas is generated from microorganisms feeding on organic matter and is released during water-level fluctuations. We looked at mud volcanoes only located along the Lake Powell marina delta in Hite, Utah. The data spans geological structures restricted to one marina delta.

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    <p>This dataset contains audio files for TERN Cumberland Plain Woodland SuperSite. Long-term recordings of the environment can be used to identify sound sources of interest, characterise the soundscape, aid in the assessment of fauna biodiversity, monitor temporal trends and track environmental changes.</p> <p>Cumberland Plain Woodland SuperSite was established in 2012 in a protected remnant of Shale Gravel Transition Forest, located on the Hawkesbury Campus of the University of Western Sydney in New South Wales. The vegetation at the site is dominated by <em>Eucalyptus moluccana</em> and <em>E. fibrosa</em>, which have hosted a population of mistletoe (<em>Amyema miquelii</em>); a subcanopy of <em>Melaleuca decora</em> is visible in some gaps. The ecosystem is subject to pressure from altered fire regimes, urban development, conversion to agriculture and extreme climate events. However, the forest patch at the site is in excellent condition with the exception of edge effects. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/cumberland-plain-supersite/.</p> <p>In 2011 an acoustic recorder was set up to collect audio data for a total of 12 hours per day, split between six hours around dawn and six hours around dusk. A second recorder was added in 2012, and two more were added in 2014. 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 sensors 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>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>