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    This is a data set on the prescence of Salmonella and the exposure of flavivirus in the Australian White Ibis. The data is presented in an excel file that lists, band numbers, sample dates, age, sex, bill lengths, presence of Salmonella in gut samples, and evidence of exposure to flavivirus for 72 birds sampled in the years 2002, 2003 and 2015 in Sydney, Australia. Detailed results listed in our open accessible manuscript published in the Journal of Urban Ecology in 2019. <em> https://academic.oup.com/jue/article/5/1/juz006/5506280</em>.

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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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    The dataset contains records of Robber Crab (<i>Birgus latro</i>) 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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    The dataset contains a record of coastal dolphin- Australian Snubfin (<em>Orcaella heinsohni</em>) and Indo-Pacific Humpback (<em>Sousa chinensis</em>)) species sighted, total number of individuals, and group/school size in Kakadu National Park rivers between March 2007 to August 2011.

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    This dataset contains radio-tracking information on the long-haired rats (<i>Rattus villosissimus</i>). Data was collected between October 2011 and December 2012. It contains the data from enclosure in which a radio-collared rat was released and tracked (Enclosure = 1 or 2), the treatment (Cats = yes or no), the exact date (Date) for when a rat was released with a collar (collared_released), the last time it was recorded (last-time-rec), the time period in months over which the collar frequency was detected (time-collar-detected), the fate of the animal (Fate = unknown, dead or alive), the last location change detected (last_loc_change), based on the latter, the estimated time a rat was assumed alive (estimated_time_alive), the last time a signal was detected from the collar (last_signal detected), the date of the last time an animal was trapped (last_trapped), whether dead remains were found (dead_remains_found = na, yes, or no) and whether the collar was found (collar_found = na, yes, or no).

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    This dataset contains a series of spatial outputs describing probabilistic species predictive occupancy (Species Occupancy Models, or SOM) & habitat suitability (Maximum Entropy, or Maxent) surfaces, the underlying data used to calculate these models & model projections predicting the impact of climate change on flora Maxent surfaces. <br> Model outputs are combination outputs dependent on known species occurrence in the landscape, the species relationship with environmental variables (covariates) such as temperature, rainfall and topography; and its predicted occurrence based on covariate analysis. Maxent models do not predict actual occupancy, but rather habitat suitability, while SOMs predict actual occupancy. confounding factors such as inter-species competition, geographical barriers and disturbance events play a significant role in species occurrence, and are not considered in Maxent or SOM. Flora Maxent climate change projections used NSW and Australian Regional Climate Modelling (NARCliM) variables to predict habitat suitability for a baseline year 2000 and projections for 2030 and 2070. <br> Covariates, Fauna & Flora survey records used to create the models are included. <br> More detailed information regarding each model, its processes and outputs are included in the dataset. <br> A web mapping application on the NSW Spatial Collaboration Portal depicts Maxent & SOM of a selected group of vulnerable Flora & Fauna from this dataset. Access the webapp through the link below: <br> https://portal.spatial.nsw.gov.au/portal/home/item.html?id=78e6ae3d34aa45d2b8118fd0308d6459

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    Data is provided from three survey types: nocturnal drive-by monitoring; ground counts; and exit counts. The nocturnal drive-by monitoring dataset provides information on species presence/absence at 124 sites across Christmas Island. The ground count dataset provides information on numbers of bats observed roosting in trees at known camp sites; while the exit count dataset records counts of bats exiting from the respective camp sites.

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    The lesser hairy-footed dunnart (<i>Sminthopsis youngsoni, Dasyuridae</i>) is a generalist marsupial insectivore in arid Australia, but consumes wolf spiders (<i>Lycosa spp., Lycosidae</i>) disproportionately often relative to their availability. This project tested the hypothesis that this disproportionate predation is a product of frequent encounter rates between the interactants due to high overlap in their diets and use of space and time. This data set focuses on overlap in the diel acttivity patterns wolf spiders (<i>Lycosa spp.</i>) and the lesser hairy-footed dunnart (<i>Sminthopsis youngsoni</i>) in the Simpson Desert, south-western Queensland Australia. To quantify the temporal activity of lycosids, spotlight surveys were conducted in October 2016 every hour between dusk (19:30 h) and dawn (05:30 h) over three nights. Additionally, remote camera traps were deployed to further quantify patterns in the activity of lycosids and S. youngsoni. Twenty-four Reconyx PC800 HyperfireTM cameras were deployed on 7th July 2016 at Main Camp and left until 12th October 2016 (98 days, or 2352 h of deployment). Images were tagged with camera location, position, angle, camera ID number, species and confidence and date and time data were extracted from each image. This data was used to identify mean activity times for each species (with confidence intervals) and to assess overlap in nocturnal activity patterns between lycosids and S. youngsoni, and thus the potential for competition and predation using the Overlap v 0.2.7 package in R. This data presents a useful example for investigating how the 'Overlap' package works and the benefits it provides.

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    The lesser hairy-footed dunnart (<i>Sminthopsis youngsoni, Dasyuridae</i>) is a generalist marsupial insectivore in arid Australia, but consumes wolf spiders (<i>Lycosa spp., Lycosidae</i>) disproportionately often relative to their availability. This project tested the hypothesis that this disproportionate predation is a product of frequent encounter rates between the interactants due to high overlap in their diets and use of space and time. This data set focuses on the dietary aspect. Specifically, invertebrate pitfall trapping was employed to quantify food availability and selectivity for both wolf spiders and <i>S.youngsoni</i>. Pitfall traps were deployed along trails left by tracked individuals, as well as control trails, of both species groups in the north-western Simpson Desert, Queensland. In total, invertebrate pitfall traps were deployed along 11 <i>S.youngsoni</i> and 8 <i>lycosa</i> trails in October 2016. Invertebrates were identified to the level of "Order", except for spiders (Order: Arachnida) and bees, wasps and ants (Order: Hymenoptera) which were identified to the "Family" level using identification keys and were also counted and grouped into seven size classes. This data was used for the following analyses: [1] a two-way analysis of variance (ANOVA) to test whether total numbers of arthropods differed between trail type and species, [2] non-metric multidimensional scaling (NMDS) and [3] permutational analysis of variance (PERMANOVA) to test whether assemblages of arthropod prey and prey sizes differed between the two trail types for each species and between each species.

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    The dataset contains information from the first initial trial of the AusPlots Fauna Protocol conducted at Calperum Station, Renmark, South Australia. Selected proposed methodologies and fauna survey techniques were trialled for logistical purposes. After the field trials, the proposed methodologies and techniques were refined. The dataset contains species information on fauna species captures, observations, and specimen collections from the April-May 2015 field trials. The data can be used to review the outcomes of the survey methodologies, presence data of the species recorded, morphological details of the animals recorded, and relate field data to the whole specimen and tissue specimens collected. The Enhancing Long-term Surveillance Monitoring Across Australia Programme will enhance the breadth and depth of Australia's terrestrial ecosystem condition monitoring and reporting at national and regional scales through building on the Terrestrial Ecosystem Research Network (TERN) AusPlots Facility. Specifically, this will be achieved by increasing the range and type of AusPlots field sites and monitoring, and through providing guidelines, protocols manuals or standards that will enhance environmental data quality.