A collation of known shipwrecks and vessels lost at sea from the year 1578 until 2013 containing information on year, vessel name, country, last known location, and purpose for the journey. And a collation of recent shipping incidents from 1991 until 2016 containing information on the year of the incident, vessel name, country where known, purpose of the journey and the cause of the incident. Location - listed as nearest land mass used where known. Country - Argentina = AR; Australia = AU; Bahamas = BS; Barbados = BB; Brazil = BR; China = CN; Falkland Islands = FK; France = FR; Germany = DE; Japan = JP; Korea = KR; Liberia = LR; Malta = MT; New Zealand = NZ; Norway = NO; Panama = PA; Peru = PE; Poland = PL; Russia = RU; Spain = ES; South Africa = ZA; Sweden = SE; UK = United Kingdom; US = United States of America Nationality of tourist companies are not all included as the company (principal and sub-chartered), and the ships used, are registered across different countries, some even changing within any given year. Flag state for that year is included where known. NB: vessels ran aground mainly due to severe weather conditions or inadequate hydrographic information Information was compiled for numerous references (Argentina and Chile, 2016; ASOC, 2012; Belgium, 2009; Brazil, 2012a; Brazil, 2012b; Headland, 2009; IAATO, 2000; IAATO, 2002; IAATO, 2003; IAATO, 2011a; IAATO, 2011b; Jones, 1973; Korea, 2011; New Zealand, 2007; New Zealand, 2012a; New Zealand, 2012b; New Zealand, 2015; New Zealand et al., 2011; Norway, 2007; Norway, 2008; People's Republic of China, 2013; Poland, 2016; Reich, 1980; Sweet et al., 2015; United Kingdom, 2008; United Kingdom, 2009).

Instrument description: Gaseous elemental mercury (GEM) was measured at five minute intervals. GEM was collected and analysed on two parallel gold traps. While GEM was collected on one gold trap, the mercury on the other traps was simultaneously being thermally desorbed and detected by a cold vapour atomic fluorescence spectrometer. The Tekran was calibrated approximately every 24 - 48 hours using an internal Hg permeation source. The internal calibration source was checked prior to shipping the instrument to Australia using an external Hg source. The internal calibration source will be verified upon return of the instrument. Instrument Setup: This instrument was sampling from a weather protected inlet positioned ~3 m off the front port side of the Monkey Deck of the Aurora Australis, directly above the bridge. The 35m heated Teflon sample line end and filter is contained within the "Ned Kelly", a large (~30 cm diameter) stainless steel can which protects against rain, snow, sea spray and major impacts. This sample line ran 25m down to the Tekran instrument which was located in a the Met-Lab. Ar (99.999% purity) was fed into the MetLab via quarter inch Teflon tubing from the oxygen store on the Monkey deck. A 2D R.M. Young (model 5305-AQ) anemometer was also deployed at the same elevation on the aft side of the sample inlet. The anemometer was oriented with zero degrees pointed directly forward of the ship. Mean Wind speed and direction were captured using Campbell Scientific CR1000 datalogger at five-minute intervals. The files included in this dataset are the raw outputs from the Tekran 2537. They include headers, though not always at the top of the file, because headers are only written when the instrument is started or after recalibration. Also included are scanned log books containing meteorological observations, maintenance notes, and when adjustments were made to the sample line (which alters anemometer data).

Overview The aim of this project was to investigate the genetic connectivity and diversity of Antarctic benthic amphipods over fine (100's of m's), intermediate (10's of km's) and large (1000's of km's) scales, using highly variable molecular markers. To achieve this, we developed seven microsatellite markers specific to the common Antarctic amphipod species Orchomenella franklini. A total of 718 specimens of O. franklini were collected from East Antarctica. Approximately 30 specimens were collected from each site, and sites were spatially hierarchically nested - i.e. sites (separated by 100m) were nested within locations (separated by 1-30km), which were nested within 2 broad regions (separated by approx. 1400km). Each amphipod sample was genotyped for all seven microsatellite loci (although occasionally a locus would not amplify in a given sample). This dataset provides all the resultant genetic data - that is, the size of the two alleles that were amplified for each microsatellite locus, in each of 718 amphipod specimens. Data collection and analysis Please refer to the associated publication (see below) for all relevant methodology. Explanation of worksheet Sample ID- a unique code given to identify each amphipod sample (the code itself has no actual meaning). Region- the broad region of the Antarctic coast from which each sample was collected. The two regions (Casey and Davis station) are separated by approx. 1400km. Location- the locations (within a region) from which each sample was collected. The names of each location reflect actual names registered by the Australian Antarctic Division and therefore their coordinates can be pinpointed on maps held by the Australian Antarctic Division Data Centre. Locations (and corresponding sites) written in italicised typeface are considered polluted (see publication for more information on this classification). Site- the sites sampled within each location. Sites are named simply by a two -letter abbreviation of the location they are from, followed by a lowercase 'a', 'b', 'c' or 'd' representing site 1, 2, 3 etc. Microsatellite data - this provides all the microsatellite genetic data generated for each amphipod specimen. Data are presented as the allele sizes (in number of base pairs) recorded for each of the seven microsatellite loci amplified. The seven microsatellite loci are called Orcfra3, Orcfra4, Orcfra5, Orcfra6, Orcfra12, Orcfra13, Orcfra26. As O. franklini is a diploid organism, each microsatellite locus has two allele sizes (hence why there are two columns underneath each locus). A '0' signifies that a particular locus did not amplify successfully in the corresponding organism (after at least two attempts). Samples were collected from Casey station between January 2009 and March 2009, and from Davis station between November 2009 and April 2010. Genetic data was generated and analysed between April 2009 and November 2009, and between May 2010 and April 2011. Genetic data obtained from the common Antarctic amphipod species Orchomenella franklini - Genetic data obtained from the common Antarctic amphipod species Orchomenella franklini. A total of 718 specimens were collected from sites within 20 km of Casey station or Davis station. Collection dates ranged from 2009 to 2010. Each amphipod sample was genotyped for seven microsatellite loci (although occasionally a locus would not amplify in a given sample).

This metadata record was created in error and a DOI assigned to it before the error was noticed. The correct metadata record is available here: https://data.aad.gov.au/metadata/records/AAS_4015_Krill_Gonad_Transcriptome with the DOI doi:10.26179/5cd3c8fec9ad8.

Four camera tow transects were completed on the upper slope during survey IN2017_V01 using the Marine National Facility’s Deep Tow Camera. This system collected oblique facing still images with a Canon – 1DX camera and high definition video with a Canon – C300 system. Four SeaLite Sphere lights provided illumination and two parallel laser beams 10 cm apart provided a reference scale for the images. This dataset presents results from the analysis of the still imagery. All camera tows were run at a ship speed over the ground of approximately 2 knots. Several sensors were attached to the towed body, including a SBE 37 CTD for collection of salinity, temperature and pressure data, a Kongsberg Mesotech altimeter and a Sonardynne beacon to record the location of the towed body. Transects were run downslope from the continental shelf break, with images analysed over a depth range of ~495 m to 670-725 m. Biota and substrates were characterised for every fifth image according to the CATAMI image classification scheme (Collaborative and Automated Tools for Analysis of Marine Imagery, Althaus et al., 2015). Images were loaded into the online platform SQUIDLE+ for analysis. Biota were counted as presence/absence of all visible biota for each image. Percent biological cover and substrate type for the whole image was calculated based on analysis of 30 random points across each image. Percent cover calculations were standardised according to the proportion of scored points on each image, excluding those that were too dark to classify. A total of 203 images were analysed. Images are available from: http://dap.nci.org.au/thredds/remoteCatalogService?catalog=http://dapds00.nci.org.au/thredds/catalog/fk1/IN2017_V01_Sabrina_Seafloor/catalog.xml

These data represent the results of the first study to use Earth System Model (ESM) outputs of SST and chlorophyll-a to simulate circumpolar krill growth potential for the recent past (1960-1989) and future climate change scenarios (2070-2099). Growth potential is obtained using an empirically-derived krill growth model (Atkinson et al. 2006, Limnol. Oceanogr.), where growth is modeled as a function of SST and chlorophyll-a. It serves as an approximation of habitat quality, as areas that support high growth rates are assumed to be good habitat (see Murphy et al., 2017, Sci Rep). To increase confidence in the future projections, ESMs were selected and weighted for each season based on their skill at reproducing observation-based krill growth potential for the recent past. First, eleven ESMs which provided SST and chlorophyll-a outputs were obtained from the Coupled Model Inter-comparison Project 5 archive. These included: CanESM2, CMCC-CESM, CNRM-CM5, GFL-ESM2G, GFDL-ESM2M, GISS-E2-H-CC, HadGEM2-CC, IPSL-CM5A-LR, MPI-ESM-MR, MRI-ESM1 and NorESM1-ME. For each ESM, seasonal surface averages of SST and chlorophyll-a were used to calculate growth potential for the historical scenario (1960-1989), which was then bilinearly interpolated on to the same 1°x1° grid. Satellite observation-based datasets for SST and chlorophyll-a were used to calculate observation-based growth potential for the recent past (1997-2010). These comprised seasonal surface averages of SST (from the OISST v2 daily dataset, 1/4⁰ horizontal resolution) and chlorophyll-a (the mean of the SeaWiFS and Johnson et al. (2013) corrected estimate of SeaWiFS daily datasets, 1/12⁰ horizontal resolution). Observation-based growth potential was then bilinearly interpolated onto the same grid as the ESMs. ESM skill for each season was subsequently assessed against observation-based growth potential using a Taylor Diagram. The ESMs were selected and weighted according to their performance to produce a weighted subset (see "ESM_weighting_method.pdf" file). Of the netcdfs provided, "hist_mean_ensemble.nc" represents the unweighted mean of seasonal growth potential, calculated from the initial ensemble of eleven ESMs for the historical scenario. The "hist_mean_subset.nc" file represents the analogous output of the weighted subset. Future projections of seasonal growth potential for Representative Concentration Pathways (RCPs) 4.5 and 8.5 were obtained using the weighted subset for the period of 2070-2099. These projected seasonal surface averages are provided in the "rcp45_mean_subset.nc" and "rcp85_mean_subset.nc" files. RCPs represent standard climate change scenarios developed by the Intergovernmental Panel on Climate Change, with 4.5 reflecting some mitigation of carbon emissions, and 8.5 being the "business as usual" scenario. Analogous netcdfs for the weighted subset outputs of chlorophyll-a (chl) and SST (tos) for the historical and RCP scenarios are also provided in the "chl_tos_netcdfs.zip" file so that the driving environmental variables underlying growth potential can be examined.

Metadata record for data from ASAC Project 2547 See the link below for public details on this project. Pue (greater than 90% as determined by SDS-PAGE) samples of nitrate reductase have been isolated from the Antarctic bacterium, Shewanella gelidimarina (ACAM 456T; Accession number U85907 (16S rDNA)). The protein is ~90 kDa (similar to nitrate reductase enzymes characterised from alternate bacteria) and stains positive in an in-situ nitrate reduction (native) assay technique. The protein may be N-terminal blocked, although further sequencing experiments are required to confirm this. This work is based upon phenotyped Antarctic bacteria (S. gelidimarina; S.frigidimarina) that was collected during other ASAC projects. (Refer: Psychrophilic Bacteria from Antarctic Sea-ice and Phospholipids of Antarctic sea ice algal communities new sources of PUFA [ASAC_708] and Biodiversity and ecophysiology of Antarctic sea-ice bacteria [ASAC_1012]). The download file contains 4 scientific papers produced from this work - one of these papers also contains a large set of accession numbers for data stored at GenBank.

The impact of freeze-thaw cycling on a ZVI and inert medium was assessed using duplicated Darcy boxes subjected to 42 freeze-thaw cycles. This dataset consists of particle sizing during the decommissioning process of the experiment. Two custom built Perspex Darcy boxes of bed dimensions: length 362 mm, width 60 mm and height 194 mm were filled with a mixture of 5 wt% Peerless iron (Peerless Metal Powders and Abrasive, cast iron aggregate 8-50 US sieve) and 95 wt% glass ballotini ground glass (Potters Industries Inc. 25-40 US sieve). This ratio of media was selected to ensure that most aqueous contaminant measurements were above the analytical limit of quantification (LOQ) for feed solutions at a realistic maximum Antarctic metal contaminant concentration at a realistic field water flow rate. All solutions were pumped into and out of the Darcy boxes using peristaltic pumps and acid washed Masterflex FDA vitron tubing. Dry media was weighed in 1 kg batches and homogenised by shaking and turning end over end in a ziplock bag for 1 minute. To ensure that the media was always saturated, known amounts of Milli-Q water followed by the homogenised media were added to each box in approximately 1 cm layers. 20 mm of space was left at the top of the boxes to allow for frost heave and other particle rearrangement processes. On completion of freeze-thaw cycling and solution flow (refer to Statham 2014), an additional series of assessments was conducted. The media from between the entry weir and the first sample port was removed in five approximately 400 g samples of increasing depth. This procedure was repeated between the last sample port and the exit weir. These samples were left to dry in a fume cabinet before duplicated particle sizing using a Endcotts minor sieve shaker.

These are the scanned electronic copies of field and lab books used at Davis Station and Kingston between 2009 and 2012 as part of ASAC (AAS) project 3134 - Vulnerability of Antarctic marine benthos to increased temperatures and ocean acidification associated with climate change.

This data set contains the results from a study of the behaviour of Weddell seals (Leptonychotes weddelli) at the Vestfold Hills, Prydz Bay, Antarctica. Three satellite transmitters were deployed on tagged female Weddell seals at the Vestfold Hills mid-winter (June) 1999. The transmitters were recovered in December, late in the pupping season. In total, the three transmitters were deployed and active 170 days, 175 days and 180 days. I used the first two classes of data to get fixes with a standard deviation less than 1 km. Most seal holes were more that 1 km apart (see Entry: wed_survey) so at this resolution we can distinguish between haul-out sites. We examine the number and range of locations used by the individual seals. We use all data collectively to look at diurnal and seasonal changes in haul-out bouts. None of the seals were located at sites outside the area of fast ice at the Vestfold Hills, although one seal was sighted on new fast-ice (20 - 40 cm thick). Considering the long bouts in the water, and that we only tracked haul-out locations, the results do not eliminate the possibility that the seals made long trips at sea. The original data are stored by the Australian Antarctic Division in the ARGOS system on the mainframe Alpha. The transmitter numbers are 23453, 7074 and 7075.