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EARTH SCIENCE | AGRICULTURE | ANIMAL SCIENCE | ANIMAL ECOLOGY AND BEHAVIOR

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  • Short-tailed shearwater stable isotope data, nitrogen and carbon. This data was collected to document dietary trends.

  • Google Earth KMZ files of hammerhead sharks tagged with Wildlife Computers miniPAT archival tags and SPOT6 tags. Files of animals tagged with MiniPAT tags include an MELE polygon, which is the 'Maximum extent of location estimates', that is, a polygon enclosing all position estimates at the maximum error level (100 km). Collectively, movements are restricted within state waters with no hammerheads moving across state or International boundaries.

  • Adult and sub-adult Red handfish (Thymichthys politus) and Spotted handfish (Brachionichthys hirsutus) preserved specimens and underwater images were used for analysing morphometrics (comprising of specimens from the CSIRO Australian National Fish Collection and underwater images). Individuals were measured for the morphological traits using electronic callipers (±0.1 mm) for preserved specimens and using Image J software for digital records. Note digital image size calibration occurred using a ruler in images or from size taken in situ. The purpose was to investigate whether external morphometrics could be used to determine sex in handfishes.

  • CSV files of location data (position estimates) for hammerhead sharks tagged with Wildlife Computers miniPAT archival tags and SPOT6 tags. Note that miniPAT data estimates may be up to 100 km (Kevin Lay, Wildlife computers pers comm). Location estimates from archival miniPAT tags also need to be considered against ARGOS location classes (see http://www.argos-system.org/manual/3-location/34_location_classes.htm). Collectively, movements are restricted within state waters with no hammerheads moving across state or International boundaries.

  • This data describes various acanthocephalan, nematode and helminth parasites identified on elasmobranchs caught between 2015 and 2018 at a number of sites around Australian. All parasite and host data is contained with tables in publications linked to this record (see Supplementary Information and Online Resources section).

  • In situ time-lapse photography was used to characterise movement and feeding preferences of the Pacific crown-of-thorns starfish (Acanthaster cf. solaris) in the northern and southern Great Barrier Reef in 2015. This record describes the data accompanying the publication (in press): Homing behaviour by destructive crown-of-thorns starfish is triggered by local availability of coral prey. Data files are: 1) CoTS movement and behavioural observations 2) CoTS individual movement tracks (per image) from time-lapse photography 3) feeding electivity on coral species by CoTS from time-lapse photography

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    To quantify the winter diving behaviour and vertical habitat use of adult female Antarctic fur seals (Arctocephalus gazella) we tracked females using Wildlife Computers Time-Depth Recorders (TDRs). Females were captured towards the end of the lactation period (March/April) and the TDR was attached dorsally to the fur approximately 10 cm anterior to the rump using a two-part epoxy. TDRs were retrieved just prior to or after giving birth the following season. Data files were extracted from the tags using the Wildlife Computers software Instrument Helper.

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    This data contains at-sea GPS tracks of little penguins (Eudyptula minor) tagged at three colonies around Storm Bay, Tasmania (Boronia Beach, Wedge Island and Bruny Island Neck) over the 2015/16 summer breeding season. This data was collected as part of an honours thesis submitted in 2016.

  • This dataset describes the predicted occurrence of juvenile sharks around Northwest Australia, mapped over a 0.01 degree spatial grid. Juvenile sharks were mapped at two taxonomic levels: order by including all juvenile sharks sampled (all juveniles) and species by considering the three most abundant species sampled separately (grey reef (Carcharhinus amblyrhynchos), sandbar (Carcharhinus plumbeus), and whitetip reef (Triaenodon obesus) sharks). The data cover the period 2003-2013 and are derived from an analysis of count data derived from baited remote underwater videos deployed through various sampling programs. Further detail can be found in the following peer-reviewed publication: Oh, BZL, Sequeira, AMM, Meekan, MG, Ruppert, JLW and Meeuwig, JJ (2017), Predicting occurrence of juvenile shark habitat to improve conservation planning. Conservation Biology, 31: 635–645. doi:10.1111/cobi.12868 Below is a full list of species, with contributions to the total counted (%): -------------------------------------------------- Silvertip shark / Carcharhinus albimarginatus – 4.14% Grey reef shark / Carcharhinus amblyrhynchos – 28.06% Bronze whaler / Carcharhinus brachyurus – 0.18% Galapagos shark / Carcharhinus galapagensis – 0.09% Bull shark / Carcharhinus leucas – 0.18% Common-Australian blacktip shark / Carcharhinus limbatus-C.tilstoni – 1.38% Blacktip reef shark / Carcharhinus melanopterus – 1.56% Sandbar shark / Carcharhinus plumbeus – 4.78% Spot-tail shark / Carcharhinus sorrah – 0.18% Tiger shark / Galeocerdo cuvier – 2.39% Sliteye-Sharpnose shark / Loxodon macrorhinus-Rhizoprionodon spp. – 6.35% Lemon shark / Negaprion acutidens – 1.01% Whitetip reef shark / Triaenodon obesus – 18.95% Tawny shark / Nebrius ferrugineus – 0.83% Grey carpetshark / Chiloscyllium punctatum – 1.38% Taselled wobbegong / Eucrossorhinus dasypogon – 0.09% Scalloped hammerhead / Sphyrna lewini – 0.46% Great hammerhead / Sphyrna mokarran – 3.86% Zebra shark / Stegostoma fasciatum – 0.83% Sicklefin houndshark / Hemitriakis falcata – 1.01% Grey gummy shark / Mustelus ravidus – 0.28% Archived BRUVS video files used in this study are the intellectual property of multiple institutions and industry partners and are not published in this record. See credits for further information.

  • White sharks are listed as vulnerable under the Commonwealth Environment Protection and Biodiversity Conservation Act 1999 and actions to assist their recovery and long-term viability are prescribed in a national recovery plan for the species. A priority action is to develop an effective means of estimating the size of white shark populations and monitor their status (population trend). This would provide a scientific basis for assessing recovery actions, and for local policies governing human-shark interactions: an issue of significant public concern. NESP Project A3 provides a national assessment of the southern-western adult white shark population abundance and an update of the total eastern Australasian white shark population abundance and status in order to establish the efficacy of existing recovery actions and provide a scientifically sound and rational basis from which to inform policies that aim to balance conservation objectives and public safety. This record describes white shark distribution and movement through the use of acoustic and electronic tags fitted to approx. 70 animals. Tag detection data are continually uploaded to the IMOS Animal Tracking Facility (ATF) database. This data collection has been granted Protected Species Status and access to the data is currently restricted. Refer to the Point of Contact listed in this record for further information regarding access to data.