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    This dataset consists of counts for multiple plant species obtained from the Ethabuka Station and Carlo Reserve in the Simpson Desert, Australia, from 2004-2013 by the Desert Ecology Research Group (DERG) in conjunction with LTERN. It also consists rainfall data obtained from 2004-2012. These datasets were used to perform a Dynamic Factor Analyses for the manuscript, "Life form explains consistent temporal trends across species: the application of dynamic factor analysis". For more information see: LTERN : http://www.ltern.org.au DERG; http://www.desertecology.edu.au.

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    This dataset consists of counts of plants and seeds for the ephemeral desert herb Trachymene glaucifolia obtained from the Ethabuka and Carlo Reserves in the Simpson Desert, Australia, from 2004-2011 by the Desert Ecology Research Group (DERG) in conjunction with LTERN. It also consists of monthly rainfall data obtained from 1995-2012. Collectively, the dataset was used to construct Multivariate Auto-regressive State-Space (MARSS) models for the manuscript "Reducing common sources of uncertainty in time series population data using MARSS models". For more information see: LTERN : http://www.ltern.org.au DERG : http://www.desertecology.edu.au

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    This dataset contains radio-tracking information on the long-haired rats (Rattus villosissimus). 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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    The dataset describes the occurrence of bird species at sites within a burnt woodland. These sites comprise the following design: 5 replicate block. each with 2 large patch sites, 2 small patch sites and 2 matrix sites. One site of each pair was relatively more isolated than the other (surrounded by a higher proportion of unburnt vegetation). In addition, there are also 6 sites located beyond the extent of the fire. The data-set also lists vegetation attributes at each of these sites.

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    Age-specific (per year) numbers of human females, males, mortality and fertility rates. Ages 1-100. Number and mortalities from WHO-CHOICE project (www.who.int/choice) and fertility derived from U.S. Census Bureau International Data Base (www.census.gov/population/international/data/idb).

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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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    Predation by feral cats Felis sylvestris catus is currently one hypothesised cause for the recent dramatic small mammal declines across northern Australia. We conducted a field experiment to measure the effect of predation by for this areas typically low-density cat populations on the demography of a native small mammal which due to the now natural scarce abundance of small mammals in the wild had to be reintroduced. We established two 12.5-ha enclosures in tropical savanna woodland on Wongalara Sanctuary, south of Arnhem Land in the Northern Territory. Each enclosure was divided in half, with cats allowed access to one half but not the other. We introduced about 20 individuals of Rattus villosissimus, a native rodent, into each of the four compartments (two enclosures x two predator-access treatments) and monitored rat demography by mark-recapture analysis and radio-tracking, and predator incursions by camera surveillance and track and scat searches. The data can be used for the mark-recapture analysis. The radio-tracking data and predator incursions data will be uploaded separately. The Cat and Dingoes camera trap dataset was produced using a heat-in-motion cameras (Reconyx PC800 Hyperfire, Holmen, Wisconsin, USA) around the outside of the perimeter fences to detect predators. At least four (but up to six and always the same number of cameras at a time) cameras were placed as one camera installed at each side on the outside of the fences of each enclosure. Cameras were unbaited, to avoid attracting predators. This one file dataset contains the information on the presence/absence data of cats and dingoes on each day. 'Site' indicates the enclosure the camera was attached to ('Enclosure_I' or Enclosure_II'), 'Camera number' indicates which site the camera was on. Note that between October 2011 and April 2012, Enclosure II had two additional cameras (one facing the front gate and one additional monitoring the lower half of the back fence of the enclosure) which resulted in a total of six cameras for during that time. 'Date' indicates the date the photo(s) was/were taken, 'Photos_recorded' whether the camera was operational or photos were retained (e.g. one SD-cards was lost). And columns 'Dingo' and 'Cat' indicate whether these animals were present that day or not (na = no photos recorded, 0 = not present that day, 1 = present that day).

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    This one file dataset contains the information on the Long-haired rats (Rattus villosissimus) used in this study, i.e. data that was collected between October 2011 and May 2013. It contains the exact date (Date) for when a rat was released (Trip_type Release, Trip_number 0) or trapped (Trip_type = Seasonal Trapping, Trip >/= 1) in each of the two enclosures (Enclosure = Enclosure I or Enclosure II), as well as the treatments (Treatment regarding the access of cats into the enclosure: high_fence (no access for cats) or low_fence (access for cats), including information on a rats gender (Sex = M (for male) or F (for female), a rats weight (Animal_weight measured in g), body condition (Body_condition theoretically ranging from 1 (emaciated) to 5 (obese), but only categories 2 (underconditioned), 3 (well-conditioned) and 4 (overconditioned) were scored) and individual identification (PIT.ID) as well as whether they had been recaptured (New_firsttripcap_recap indicating whether the animal was new= released/ caught the very first time, was a firsttripcap = captured before, but first captured during a trapping session, or a recap = recaptured during the same trip).

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    The dataset contains distribution data for the Yellow Crazy Ant (Anoplolepis gracilipes) and scale insects (eg Parasaissetia nigra, Dysmicoccus finitimus), collected during the Waypoint Survey component of the Pulu Keeling National Park Island-wide Survey (IWS). The aim of the Waypoint Survey is to monitor densities of the invasive Yellow Crazy Ant (Anoplolepis gracilipes) and to detect establishment of any new scale insect species. The other components of the IWS (Transit Survey and Ink Card and Nocturnal Survey) are recorded in separate submissions.