A register of all voyages that contribute to the science of the Australian Antarctic Programme. It includes voyages that opportunistically collect marine data while underway. Details have been gleaned from historic paper records, publications, voyage situation reports and reports from marine science cruises. Products linked to each voyage include a map, voyage schedule and a list of any science related activities on the voyage. The application links to various external resources within the Antarctic Division such as daily shipping reports, passenger lists and various sets of data. NOTE - Support for this application was put "on hold" after the 2013/2014 season. Hence, only voyages up until that season are included in the database. This decision may be revisited at some time in the future.

Australian Antarctic Division chartered vessels routinely collect environmental information as they move around the Southern Ocean. The type of data collected varies depending on the vessel (and exactly what sensors are in place on each ship). Underway data typically include a number of meteorological and oceanographic parameters (such as sea surface temperature, air temperature, humidity, UV levels, water depth, salinity, etc) as well as ship parameters (such as heading, speed, position, etc). Data can typically be extracted via the Marine Science Underway Data Tool, available at the provided URL. Data can be extracted in various formats (such as text, excel, netcdf) and in various permutations. Underway data collection began in 1985 on the Nella Dan. See all the child metadata records for detailed information on each cruise. The Entry_IDs of the child metadata records can be interpreted as follows: eg 198586010 198586 - Antarctic season 1985/1986 010 - voyage number - in this case voyage 1. The trailing 0 is present in case a voyage was conducted in more than 1 cruise, as was the case for 198990072.

The British Australian (and) New Zealand Antarctic Research Expedition (BANZARE) was a research expedition into Antarctica between 1929 and 1931, involving two voyages over consecutive Austral summers. This document describes the ship's log and station list taken from Biological Organisation and Station List by T. Harvey Johnston, BANZARE Reports, Series B, Vol I, Part 1, pages 1-48 Data are stored in an Access database. The 5 tables are banzare_noon_log_1929_1930 and banzare_noon_log_1930_1931 noon positions from page 46-47 - assumed log_date is local noon, latitude and longitude in decimals. banzare_stations_1929_1930 and banzare_stations_1930_1931 odate is station date (no time is given) depth is echo depth (metres) latg and long is refined positions using Google Earth and Kerguelen map on page 14 full_speed_nets_1930_1931 log of full sped nets - see pages 40-44; time is possibly UTC distance is travel of ship when net is deployed depth is possible depth of net in fathoms tow_speed is ship speed in knots

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).

The effects of hyrdocarbon and heavy metal contamination of marine sediments on recruitment of soft-sediment assemblages were examined in a field experiment at Casey Station, East Antarctica. Three locations were used, a polluted bay adjacent to an old disused tip site (Brown Bay) and two control locations (O'Brien Bay and Sparkes Bay). At each location three types of defaunated sediment (hydrocarbon treated, heavy metal treated and control) were placed at approximately 15 m depth and left in place for 3 months, from December to February. Sediments were artificially contaminated with hydrocarbons and metals at concentrations which were representative of levels found in sediments at contaminated sites around Casey Station. There were large differences in recruitment between the three locations and significant differences between the control and contaminated sediment. Sediments in the experiment were also examined for evidence of degradation and attenuation of hydrocarbons and heavy metals. A total of 104 recruitment samples were collected. Samples were sieved at 500 micro m and sorted mainly to species. Other work to arise from this experiment includes examination of the effects on diatom communities and microbial communities. Data includes fauna, metals and hydrocarbon concentrations in experiment. Pre-deployment concentrations (before experiment was deployed in water) are indicated as 'pre-deployment'. Concentrations of contaminants in sediments surrounding the experiment (within several metres) are indicated as 'surrounding'. This project also links to ASAC 1100. The fields in this dataset are: Location Site Treatment (tmt) Site and replicate Species Toxicity Arsenic Cadmium Copper Lead Silver Zinc Special Antarctic Blend Fuel (SAB) Lube TPH

This indicator is no longer maintained, and is considered OBSOLETE. INDICATOR DEFINITION The quantity of fuel used by ships travelling to Australian Antarctic stations and on Marine Science voyages as measured on a monthly basis and reported in the monthly reports from the Voyage Leaders to the Kingston (Head Office) Logistics Section. TYPE OF INDICATOR There are three types of indicators used in this report: 1.Describes the CONDITION of important elements of a system; 2.Show the extent of the major PRESSURES exerted on a system; 3.Determine RESPONSES to either condition or changes in the condition of a system. This indicator is one of: PRESSURE RATIONALE FOR INDICATOR SELECTION The amount of fuel used on ships travelling to Antarctica and on Marine Science voyages, for propulsion and power generation, is proportional to environmental impact due to the emissions released. Marine Gas Oil (MGO), is a marine version of normal diesel and is used on the vessels to power the main engines and generator sets, to provide propulsion and general services to the vessels such as power and heating. IFO 40 (RMC 10) is a light grade fuel oil used by some of the vessels by the Antarctic Division. This fuel is used for the main engines, and in some cases the generators. DESIGN AND STRATEGY FOR INDICATOR MONITORING PROGRAM Spatial scale: Southern Ocean. Frequency: Monthly reports Measurement technique: The figures are obtained by sounding the fuel tanks on the ship and/or a reading from the fuel usage meter. RESEARCH ISSUES Depending on the vessels used by the Antarctic division, future collection of this data may be automated. LINKS TO OTHER INDICATORS SOE Indicator 1 - Monthly mean air temperatures at Australian Antarctic stations. SOE Indicator 2 - Highest monthly air temperatures at Australian Antarctic Stations SOE Indicator 3 - Lowest monthly air temperatures at Australian Antarctic Stations SOE Indicator 4 - Monthly mean lower stratospheric temperatures above Australian Antarctic Stations SOE Indicator 7 - Monthly mean of three-hourly wind speeds (m/s) SOE Indicator 48 - Station and ship person days SOE Indicator 57 - Monthly total of fuel used by station incinerators SOE Indicator 58 - Monthly total of fuel used by station vehicles SOE Indicator 59 - Monthly electricity usage SOE Indicator 60 - Total helicopter hours SOE Indicator 61 - Total potable water consumption SOE Indicator 65 - Station footprint for Australian Antarctic stations

A survey of macrobenthic assemblages in soft-sediments was done at Casey Station, East Antarctica. Samples were taken by divers using hand-held corers (core size - 10 cm diameter by 10 cm deep). This was the final component of a large nested sampling survey extending over a three year periods with samples taken in three summers and one winter period. The aims were: 1) To examine spatial variation at several scales in these assemblages; 2) To determine if there were differences between potentially impacted areas and control areas; 3) To determine the level of replication, taxonomic resolution and data transformation that are appropriate to studies of human impacts in Antarctic soft-sediment assemblages. Cores were collected by divers in a hierarchical, spatially nested design incorporating 4 scales: Locations (1000s of metres apart), Sites (100s of metres), Plots (10s of metres) and among replicates within plots (~1 metre). This data set consists of 48 core samples from three locations, O'Brien Bay, Sparkes Bay and Wilkes. Samples are sorted mainly to species. Links to ASAC 1100. The fields in this dataset are: Location Site/Rep Species

The effect of location, depth and sediment contamination on recruitment of soft-sediment assemblages were examined in a pilot experiment at Casey Station, East Antarctica. Two locations were used, a polluted bay adjacent to an old disused tip site (Brown Bay) and an undisturbed control (O'Brien Bay). At each location two types of defaunated sediment (polluted and control) were placed at 2 depths, 15 m and 25 m. Sediments were left in place over the Austral winter, from March - November. There were large differences in recruitment between the two locations and depths and some differences between the two sediment types. Brown Bay had greater recruitment than O'Brien Bay. Shallow sites had generally greater recruitment than deep, but deep sites had greater diversity (H'), richness (d) and evenness (J'). Control sediment recruited greater numbers of arthropod, gammarid and isopod taxa. There were not only differences in abundance of taxa and assemblage structure but also in spatial variability and variability of populations of certain taxa, with recruitment to the control and deep locations more variable, and recruitment in the control sediment more variable than the polluted sediment. Recruitment was influenced by a combination of location, depth and sediment type. There is some evidence of an environmental impact at the polluted site. The majority of fauna recruiting to the experiment were highly motile colonizing species with non-pelagic lecithotrophic larvae, usually brooded and released as dispersing juveniles, such as gammarids, tanaids, isopods and gastropods. A total of 56 recruitment samples were collected. Samples were sieved at 500 micro metres and sorted mainly to species. Metal concentrations and total organic carbon concentrations are also included. Also links to ASAC 1100. The fields in this dataset are: Species Location Site Treatment (tmt) Site and replicate Toxicity Arsenic Cadmium Copper Lead Silver Zinc

A survey of macrobenthic assemblages in soft-sediments was done at Casey Station, East Antarctica. Samples were taken by divers using hand-held corers (core size - 10 cm diameter by 10 cm deep). The aims were: 1) To examine spatial variation at several scales in these assemblages; 2) To determine if there were differences between potentially impacted areas and control areas; 3) To determine the level of replication, taxonomic resolution and data transformation that are appropriate to studies of human impacts in Antarctic soft-sediment assemblages. Cores were collected by divers in a hierarchical, spatially nested design incorporating 4 scales: Locations (1000s of metres apart), Sites (100s of metres), Plots (10s of metres) and among replicates within plots (~1 metre). Four replicates for infaunal analysis were collected from each plot. Variation at the whole assemblage level was most significant at the largest scale: between Locations; but significant differences were also found between Plots within Sites, and between Sites within Locations. The impacted locations, near two waste tips, a sewage outfall and a wharf, as a group were significantly different to control locations. Impacted locations had less variable assemblages but more variable populations of dominant species than control locations. Control locations had greater richness and diversity than impacted locations. Patterns of assemblage structure were similar at fine (species and family) and medium (family to order) levels of taxonomic resolution but changed at coarse (phylum) levels of resolution. Assemblage patterns were similar between untransformed, square root and fourth root transformations but often different in presence/absence transformations. Concentrations of metals in sediments were also analysed and other environmental variables such as grain size and water depth were measured (two replicates from each plot). Multivariate correlations between the biological and environmental datasets were examined. Links to ASAC 1100. The fields in this dataset are: Location Site/Plot Replicate Antimony Arsenic Cadmium Chromium Copper Iron Lead Manganese Mercury Nickel Silver Tin Zinc Weight Toxicity

Marine soft-sediment assemblages were sampled from shallow (5 - 35m) nearshore regions around Casey Station, Windmill Islands, East Antarctica in winter 1998, using a van-Veen grab (surface area 20 x 25 cm). Samples were sieved through a 1 mm mesh and sorted to species where possible. A hierarchical, spatially nested sampling design was used with locations (km's apart), sites (100s of metres apart). Two potentially impacted, polluted locations (Shannon Bay - adjacent to a sewage outfall; and Brown Bay - adjacent to an old garbage tip) were compared with a control location in O'Brien Bay. Data were analysed using both multivariate and univariate statistical methods. Significant differences in assemblages were found between locations and between sites within locations. Significant differences in the abundances of taxa at several taxonomic levels (species, family, order, phylum) were also found at both spatial scales. Significant differences were also detected between the polluted and control locations. These samples were collected as part of a larger program examining human impacts in marine benthic assemblages at Casey Station. These samples were used in an analysis of temporal changes in soft-sediment assemblages at Casey. A total of 30 grab samples were collected in this survey. The fields in this dataset are: Location Site Date Site/Replicate Species