Metadata record for data from ASAC Project 545 See the link below for public details on this project. From the abstract of the referenced paper: Blood was collected for haematological, red cell enzyme and red cell metabolic intermediate studies from 20 Southern elephant seals Mirounga leonina. Mean haematological values were: haemoglobin (Hb) 22.4 plus or minus 1.4 g/dl, packed cell volume (PCV) 54.2 plus or minus 3.8%, mean cell volume (MCV) 213 plus or minus 5 fl and red cell count (RCC) 2.5 x 10 to power 12 / l. Red cell morphology was unremarkable. Most of the red cell enzymes showed low activity in comparison with human red cells. Haemoglobin electrophoresis showed a typical pinniped pattern, ie two major components. Total leucocyte counts, platelet counts, and coagulation studies were within expected mammalian limits. Eosinophil counts varied from 0.5 x 10 to power 9 / l (5%-49%), and there was a very wide variation in erythrocyte sedimentation rates, from 3 to 60mm/h.

Metadata record for data from ASAC Project 1119 See the link below for public details on this project. A marked bend in the Hawaiian-Emperor seamount chain supposedly resulted from a recent major reorganization of the plate-mantle system there 50 million years ago. Although alternative mantle-driven and plate-shifting hypotheses have been proposed, no contemporaneous circum-Pacific plate events have been identified. We report reconstructions for Australia and Antarctica that reveal a major plate reorganization between 50 and 53 million years ago. Revised Pacific Ocean sea-floor reconstructions suggest that subduction of the Pacific-Izanagi spreading ridge and subsequent Marianas/Tonga-Kermadec subduction initiation may have been the ultimate causes of these events. Thus, these plate reconstructions solve long-standing continental fit problems and improve constraints on the motion between East and West Antarctica and global plate circuit closure.

General overview The following datasets are described by this metadata record, and are available for download from the provided URL. - Raw log files, physical parameters raw log files - Raw excel files, respiration/PAM chamber raw excel spreadsheets - Processed and cleaned excel files, respiration chamber biomass data - Raw rapid light curve excel files (this is duplicated from Raw log files), combined dataset pH, temperature, oxygen, salinity, velocity for experiment - Associated R script file for pump cycles of respirations chambers #### Physical parameters raw log files Raw log files 1) DATE= 2) Time= UTC+11 3) PROG=Automated program to control sensors and collect data 4) BAT=Amount of battery remaining 5) STEP=check aquation manual 6) SPIES=check aquation manual 7) PAR=Photoactive radiation 8) Levels=check aquation manual 9) Pumps= program for pumps 10) WQM=check aquation manual #### Respiration/PAM chamber raw excel spreadsheets Abbreviations in headers of datasets Note: Two data sets are provided in different formats. Raw and cleaned (adj). These are the same data with the PAR column moved over to PAR.all for analysis. All headers are the same. The cleaned (adj) dataframe will work with the R syntax below, alternative add code to do cleaning in R. Date: ISO 1986 - Check Time:UTC+11 unless otherwise stated DATETIME: UTC+11 unless otherwise stated ID (of instrument in respiration chambers) ID43=Pulse amplitude fluoresence measurement of control ID44=Pulse amplitude fluoresence measurement of acidified chamber ID=1 Dissolved oxygen ID=2 Dissolved oxygen ID3= PAR ID4= PAR PAR=Photo active radiation umols F0=minimal florescence from PAM Fm=Maximum fluorescence from PAM Yield=(F0 – Fm)/Fm rChl=an estimate of chlorophyll (Note this is uncalibrated and is an estimate only) Temp=Temperature degrees C PAR=Photo active radiation PAR2= Photo active radiation2 DO=Dissolved oxygen %Sat= Saturation of dissolved oxygen Notes=This is the program of the underwater submersible logger with the following abreviations: Notes-1) PAM= Notes-2) PAM=Gain level set (see aquation manual for more detail) Notes-3) Acclimatisation= Program of slowly introducing treatment water into chamber Notes-4) Shutter start up 2 sensors+sample…= Shutter PAMs automatic set up procedure (see aquation manual) Notes-5) Yield step 2=PAM yield measurement and calculation of control Notes-6) Yield step 5= PAM yield measurement and calculation of acidified Notes-7) Abatus respiration DO and PAR step 1= Program to measure dissolved oxygen and PAR (see aquation manual). Steps 1-4 are different stages of this program including pump cycles, DO and PAR measurements. 8) Rapid light curve data Pre LC: A yield measurement prior to the following measurement After 10.0 sec at 0.5% to 8%: Level of each of the 8 steps of the rapid light curve Odessey PAR (only in some deployments): An extra measure of PAR (umols) using an Odessey data logger Dataflow PAR: An extra measure of PAR (umols) using a Dataflow sensor. PAM PAR: This is copied from the PAR or PAR2 column PAR all: This is the complete PAR file and should be used Deployment: Identifying which deployment the data came from #### Respiration chamber biomass data The data is chlorophyll a biomass from cores from the respiration chambers. The headers are: Depth (mm) Treat (Acidified or control) Chl a (pigment and indicator of biomass) Core (5 cores were collected from each chamber, three were analysed for chl a), these are psudoreplicates/subsamples from the chambers and should not be treated as replicates. #### Associated R script file for pump cycles of respirations chambers Associated respiration chamber data to determine the times when respiration chamber pumps delivered treatment water to chambers. Determined from Aquation log files (see associated files). Use the chamber cut times to determine net production rates. Note: Users need to avoid the times when the respiration chambers are delivering water as this will give incorrect results. The headers that get used in the attached/associated R file are start regression and end regression. The remaining headers are not used unless called for in the associated R script. The last columns of these datasets (intercept, ElapsedTimeMincoef) are determined from the linear regressions described below. To determine the rate of change of net production, coefficients of the regression of oxygen consumption in discrete 180 minute data blocks were determined. R squared values for fitted regressions of these coefficients were consistently high (greater than 0.9). We make two assumptions with calculation of net production rates: the first is that heterotrophic community members do not change their metabolism under OA; and the second is that the heterotrophic communities are similar between treatments. #### Combined dataset pH, temperature, oxygen, salinity, velocity for experiment This data is rapid light curve data generated from a Shutter PAM fluorimeter. There are eight steps in each rapid light curve. Note: The software component of the Shutter PAM fluorimeter for sensor 44 appeared to be damaged and would not cycle through the PAR cycles. Therefore the rapid light curves and recovery curves should only be used for the control chambers (sensor ID43). The headers are PAR: Photoactive radiation relETR: F0/Fm x PAR Notes: Stage/step of light curve Treatment: Acidified or control The associated light treatments in each stage. Each actinic light intensity is held for 10 seconds, then a saturating pulse is taken (see PAM methods). After 10.0 sec at 0.5% = 1 umols PAR After 10.0 sec at 0.7% = 1 umols PAR After 10.0 sec at 1.1% = 0.96 umols PAR After 10.0 sec at 1.6% = 4.32 umols PAR After 10.0 sec at 2.4% = 4.32 umols PAR After 10.0 sec at 3.6% = 8.31 umols PAR After 10.0 sec at 5.3% =15.78 umols PAR After 10.0 sec at 8.0% = 25.75 umols PAR This dataset appears to be missing data, note D5 rows potentially not useable information See the word document in the download file for more information.

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).

This consolidated dataset consists of Australian Hydrographic Service (AHS) surveys HI621A and HI545 converted to International Terrestrial Reference Frame 2000 (ITRF2000) horizontal datum with Z conversion values for multiple height datums. The data was provided to the Australian Antarctic Division by Paul Digney of Jacobs consulting in February 2021. Included survey datasets: - HI621A.shp (Validated folder) - 1812_5093-HI621A_CASEY_Terrestrial.shp - QC_HI545_12pt5_appraised All data are in horizontal datum ITRF2000 and have been combined into a single ESRI geodatabase feature class titled AHS_Surveys_Casey_ITRF2000. Attribute data shows quality information, conversion factors (shift in metres) for multiple datums and the MSL orthometric height for Casey: Column Name, Alias, Meaning Easting, Easting, Easting ITRF2000 Northing, Northing, Northing ITRF2000 CD_To_GRS8, CD_To_GRS80, LAT (Chart Datum) to the Ellipsoid CD_TO_MSL_Casey, CD_To_MSL_Casey, Ellipsoid to Casey MSL Z_To_GRS80, Z_To_GRS80, Height to the Ellipsoid Z_To_MSL_Casey, Z_To_MSL_Casey, Local MSL orthometric height Vert_Uncer, Vertical_Uncertainty, How good is the Vertical Position Horiz_Unce, Horizontal Uncertainty, How good is the Horizontal Position Uncertaint, Uncertainty Comments, Depth_Comm, Depth_Comments, Vertical uncertainty ranges from 0.05 to 0.64 m and horizontal uncertainty ranges from 0.05 to 1.0 m See the attached document ‘Metadata Record Casey Final.xlsx’ for further details.

Results from a February 2007 survey of the Vestfold Hills coastline and offshore islands for used and disused southern elephant seal wallows. The data here are point locations of the wallows, not the extents or boundaries of the wallows. The table below gives the coordinates (decimal degrees) for the elephant seal wallows found, their unofficial names and the wallow status as used or disused at the time of survey. Data were used in the 2018 Vestfold Hills/Davis Station Helicopter map: Wallow name Latitude Longitude Status Hawker Island -68.637360 77.840040 Used Hawker Island -68.634950 77.841310 Used Hawker Island -68.632180 77.841560 Used Mule Island -68.647860 77.825900 Unused Mule Island -68.646650 77.823920 Unused Zappert Point -68.505100 78.081020 Unused Old Wallow -68.598345 77.937185 Used Davis beach -68.577926 77.967032 Used Heidemann Bay -68.592067 77.945325 Used North of station -68.571916 77.971011 Used

This dataset contains acoustic recordings from Directional Frequency Analysis and Recording (DIFAR) sonobuoys that were deployed from 30 January – 23 March 2021 during the TEMPO voyage. 251 sonobuoys were deployed yielding 460 hours of acoustic recordings. Three models of sonobuoys were used during the voyage: AN/SSQ-53F sonobuoy from SonobuoyTechSystems, USA (made in 2011; identifiable by tall black housing); Q53F sonobuoys from Ultra Electronics Australia (made in 2011 for Australian Defence; identifiable by tall silver housing); SDSQ955 (HIDAR) sonobuoys from Ultra Electronics UK (re-lifed in 2018; identifiable from small silver housing); During TEMPO, recordings were made by deploying above sonobuoys in DIFAR (standard) mode while the ship was underway (Gedamke and Robinson 2010, Miller et al. 2015). During transit, listening stations were conducted every 30 nmi in water depths greater than 200 m when Beaufort sea state was less than 7. Sonobuoys were occasionally deployed with spacing less than 30 nmi in an attempt to more precisely determine spatial extent and vocal characteristics of calls that were believed to be coming from animals relatively close to the ship’s track. During marine science stations, sonobuoys were deployed approximately 2-4 nmi prior to stopping in order to attempt to monitor them for the full six-eight hour duration of their operational life or the duration of the station. The sampling regime was chosen for compatibility with previous surveys, and to balance spatial resolution with the finite number of sonobuoys available for this study. Instrumentation, software, and data collection At each listening station, a sonobuoy was deployed with the hydrophone set to a depth near 140 m. Sonobuoys transmitted underwater acoustic signals from the hydrophone and directional sensors back to the ship via a VHF radio transmitter. Radio signals from the sonobuoy were received using an omnidirectional VHF antenna (PCTel Inc. MFB1443; 3 dB gain tuned to 144 MHz centre frequency) and a Yagi antenna (Broadband Propagation Pty Ltd, Sydney Australia) mounted on the aft handrail of the flying bridge. The antennas were each connected to a WiNRADiO G39WSBe sonobuoy receiver via low-loss LMR400 coaxial cable via a cavity filter with 1 MHz passband centered on 144 MHz. The radio reception range on the Yagi antenna was similar to previous Antarctic voyages, and was adequate for monitoring and localisation typically out to a range of 10-12 nmi, provided that the direction to the sonobuoy was close (i.e. within around 30o) to the main axis of the antenna. The radio reception on the omnidirectional antenna typically provided 5-10 nmi of omnidirectional reception from sonobuoys. At transit speed (8-11 knots), the Yagi antenna provided about 75 minutes of acoustic recording time per sonobuoy. Using both antennas together were able obtain radio reception for up to six hours (i.e. the maximum life of a 955 sonobuoy) when sonobuoys were deployed within 5 nmi of a marine science station. Received signals were digitised via the instrument inputs of a Fireface UFX sound board (RME Fireface; RME Inc.). Digitised signals were recorded on a personal computer as 48 kHz 24-bit WAV audio files using the software program PAMGuard (Gillespie et al. 2008). Data from both the Yagi and Omnidirectional antenna were recorded simultaneously as WAV audio channels 0 (left) and 1 (right). Each recorded WAV file therefore contains a substantial amount of duplication since both antennas and receivers were usually receiving the same signals from the same sonobuoy. Directional calibration The magnetic compass in each sonobuoy was not calibrated/validated upon deployment because the ship did not generate enough noise. Intensity calibration Intensity calibration and values followed those described in Rankin et al (2019). Sonobuoy deployment metadata The PAMGuard DIFAR Module (Miller et al. 2016) was used to record the sonobuoy deployment metadata such as location, sonobuoy deployment number, and audio channel in the HydrophoneStreamers table of the PAMGuard database (IN2021_V01_Difar-2021-01-22.sqlite3). A written sonobuoy deployment log (SonobuoyLog.pdf) was also kept during the voyage, and this includes additional notes and additional information not included in the PAMGuard Database such as sonobuoy type, and sonobuoy end-time. Real-time monitoring and analysis: Aural and visual monitoring of audio and spectrograms from each sonobuoy was conducted using PAMGuard for at least 5 minutes after deployment only to validate that the sonobuoy was working correctly. Additional information about sonobuoys is contained in the file: Sonobuoy data collection during the TEMPO voyage - 2021-01-15.pdf References Greene, C.R.J. et al., 2004. Directional frequency and recording ( DIFAR ) sensors in seafloor recorders to locate calling bowhead whales during their fall migration. Journal of the Acoustical Society of America, 116(2), pp.799–813. Miller, B.S. et al., 2016. Software for real-time localization of baleen whale calls using directional sonobuoys: A case study on Antarctic blue whales. The Journal of the Acoustical Society of America, 139(3), p.EL83-EL89. Available at: http://scitation.aip.org/content/asa/journal/jasa/139/3/10.1121/1.4943627. Miller, B.S. et al., 2015. Validating the reliability of passive acoustic localisation: a novel method for encountering rare and remote Antarctic blue whales. Endangered Species Research, 26(3), pp.257–269. Available at: http://www.int-res.com/abstracts/esr/v26/n3/p257-269/. Rankin, S., Miller, B., Crance, J., Sakai, T., and Keating, J. L. (2019). “Sonobuoy Acoustic Data Collection during Cetacean Surveys,” NOAA Tech. Memo. NMFS, SWFSC614, 1–36.

This terrestrial dataset was collected at Ursula Harris’s behest by Craig Hamilton and a Naval Survey team on 09 January 2018 when sea conditions prevented the team from taking bathymetric measurements. This survey was intended to fill gaps in the existing Mawson Station survey data and includes 29 previously unrecorded features comprised of bollards, HF towers, flagpoles, masts, antennae, ionosonde transmitter and receiver, the Mawson Signpost and the Douglas Mawson Bust.

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.

Locations of sampling sites for ASAC project 40 on voyage 7 of the Aurora Australis in the 2001/2002 season. The dataset also contains information on chlorophyll, carotenoids, coccolithophorids and species identification and counts. The voyage acronym was LOSS. There are 203 observations in the collection. These data are available via the biodiversity database. The taxa represented in this collection are (species names at time of data collection, 2001-2002): Acanthoica quattrospina Calcidiscus leptoporus Coronosphaera mediterranea Emiliania huxleyi Gephyrocapsa oceanica Pentalamina corona Syracosphaera pulchra Tetraparma pelagica Triparma columacea subsp. alata Triparma laevis subsp. ramispina Triparma strigata Umbellosphaera tenuis