The Australian Collection of Antarctic Microorganisms (ACAM) was established in 1986 at the University of Tasmania as a collection for microorganisms from the Antarctic continent as well as from subantarctic islands and the Southern Ocean. ACAM is one of the few collections in the world dedicated to the collection of Antarctic bacteria and since its inception has grown to nearly 400 strains. Many of these strains have been isolated from lakes and marine waters in the Vestfold Hills region of Antarctica near Davis Station. Salinity, redox potential, light and temperature all vary dramatically between these water bodies and, on many occasions, have been shown to vary with water depth within them. Microorganisms living in these ecosystems cope with a variety of physical extremes which characterise the Antarctic environment. The potential for biotechnological use of Antarctic microorganisms has become more evident from basic studies on the taxonomy and molecular biology of antarctic microbes. Recently, bacteria have been isolated that (i) contain polyunsaturated w-3 fatty acids, (ii) degrade hydrocarbons (including polycyclic aromatics) and (iii) produce bioactive natural products. ACAM is a continually expanding collection. The search for Antarctic microorganisms that may be commercially exploited has only just begun. Future research should identify novel strains that offer further potential for biotechnology and, at the same time, provide a better understanding of the Antarctic ecosystem. ACAM is now available through the Australian Antarctic Data Centre's Biodiversity database, or via the ACAM website. This work was completed as part of ASAC project 65 (ASAC_65).

These are the scanned electronic copies of field and lab books used at Davis Station, and Kingston between 2009 and 2011 as part of ASAC (AAS) project 3217 - Environmental assessment of Davis sewage treatment plant up-grade.

Scanned copy of an acoustics log from Casey Station. Data were collected during 1997. There is no accompanying information to go with the log.

We checked each site by taking ice cores and observing the algae biomass to determine the likelihood of krill living under the sea ice in each location. We also used a Remotely Operated Vehicle (ROV) with cameras attached to observe the abundance of krill under the sea ice. If krill were present we used on the sea ice floe a zooplankton pump, called MASMA, according to Meyer et al. 2009, whereas at the edge of the floe column a custom-built fish pump system was used to collect krill near the surface. The Aqualife Biostream BP40 fish pump was capable of pumping up to 1300 litres per minute without harming animals that pass through the pump. For much of the voyage it was operated from the ctd room and at this increased suction head it ran at about 500 litres per minute. Krill were caught at ice stations 2, 6, 7 and 8. The Krill Sample-Overview.xls file contains information regarding how many krill were caught at each ice stations, who was involved and related information. The SIPEX II Krill Voyage Report.docx contains information about the various issues that were encountered during the voyage. It also contains information from the Bottom Krill experiment, which has its own dataset and metadata record. It is duplicated in both datasets. The larvae were used for a growth experiment using the IGR method and after length measurements frozen for carbon, nitrogen, lipids, stomach and gut content analysis. The total and carapace length were determined of juveniles as well as their digestive gland size. Animals were than dissected and tissues frozen at -80C for further analysis (see above). These condition parameters will be discussed in relation to physical and biological environmental parameters of the ice floe (e.g. sea ice thickness, snow coverage, under ice topography and biomass). When this data is analysed, the dataset will be updated to include analysed versions of the data listed in the Krill Sample-Overview.xls file. Also included in the dataset are technical documents and manuals pertaining to the fish pump that was used. Meyer B et al. 2009. Limnol Oceanogr 54:1595-1614

A summation of survey tasks conducted within the Davis Station surrounds is as follows: • Priority 1 – Wharf Area: Feature survey of a designated area surrounding the Davis wharf at a 10m grid spacing. However, due to the small area of the wharf, a 10m external buffer was applied to ensure there are no data gaps on completion of the survey and a 5m natural surface grid was collected including all services that were joined or contained within the region. • Priority 2 – Feature survey of a designated area to the North East of the Bureau of Meteorology and General Science buildings. A region approximately 150m x 380m. A detailed pickup of the existing electrical, optic fiber, telecommunication lines, high frequency radio mast and guide wires were collected including the location of the BoM instruments. Natural surface collection was collected at a 10m grid spacing.

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).

In January 2005 a multi-parametric international experiment was conducted that encompassed both Deception Island and its surrounding waters. This experiment used as main platforms the Spanish Oceanographic vessel 'Hesperides', the Spanish Scientific Antarctic base 'Gabriel de Castilla' at Deception Island and four temporary camps deployed on the volcanic island. This experiment allowed us to record active seismic signals on a large network of seismic stations that were deployed both on land and on the seafloor. In addition other geophysical data were acquired, such as: bathymetric high precision multi-beam data, and gravimetric and magnetic profiles. During the whole period of the experiment a multi-beam sounding EM120 was used to perform bathymetric surveys. The characteristic of this sensor permitted to reach up to 11.000 m b.s.l. In table 2 we provide some of its main characteristics. During the experiment different bathymetric profiles were performed with this equipment outside of Port Foster. Some of these images already have provide an accurate vision of the region, and were used to estimate the real size of the water column locate below each shoot. Additional information of these data could be found in the Lamont-Doherty Earth Observatory at IEDA Marine Geoscience Data System (http://www.marine-geo.org/). It is possible to access the summary of downloads that were made of these data and documents at http://www.marine-geo.org/about/downloadreport/person/Ibanez_Jesus/2016A.

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

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).

This dataset contains the results from surveys of Wandering Albatrosses (Diomedea exulans) on Macquarie Island. The majority of the surveys were conducted at the Caroline Cove colony which contains 59% of the Wandering Albatrosses found on Macquarie Island. Observations were made for 41 consecutive days between 5 December 1975 and 14 January 1976, and for 103 consecutive days between 25 November 1976 and 7 March 1977. Occasional observations were made of birds at other locations on Macquarie Island. Each bird in the colony was banded for identification, sexed and had its plumage scored. The times of arrival and departure, numbers present, interaction and behaviour were observed, and weather conditions were noted irregularly throughout the day. The results are listed in the documentation.