The data sets consist of static GPS data collected on the Amery Ice Shelf using Leica CRS1000 receivers. Additional data at Landing Bluff, Dalton Corner and Beaver Lake were collected by ANU (see ASAC project 1112). All data are provided in UNIX Z compressed RINEX (Receiver INdependent EXchange) format, as described in the IGS standards - see http://www.igs.org/products The standard RINEX file naming convention is used, i.e., an eight digit file name as bbbbddds.yyt, where bbbb refers to a four digit station name, ddd refers to the day number of the year, s refers to a session number and yyt is the file extension number where yy refers to the year and t defines the file type (o for observation file and n for navigation file). All files are compressed using the UNIX Z compression scheme, as shown by the extension .Z. For example, base0010.00o.Z and base0010.00n.Z. The files are set out in the following directories on the ftp site: season1999_2000 \amery \land \raw Data are also available for download from the Australian Antarctic Data Centre at the provided URL. Raw data, where available, is stored in the aw directory in standard Leica LB2 Binary format. Conversion routines are available: http://www.unavco.org/software/software.html GPS data collected at the permanent stations at Casey, Davis and Mawson are available from Geoscience Australia (previously AUSLIG) - see http://www.ga.gov.au/geodesy/antarc/antgps.jsp The fields in this dataset are: GPS marker number marker name observer/agency approximate position antenna wavelength interval

Direct Numerical Simulation (DNS) was used to study the effect of sloping the ice-shelves on the dissolution/melt rate at the ice-ocean interface. The simulations were done on the HPC Raijin at NCI, Canberra over March 2015 to June 2017. Numerical experiments were carried out over a range of slope angle (5 degrees – 90 degrees) of the ice-shelves measured from the horizon. Turbulent flow field is simulated over the domain length of 1.8 m, (for slope angle greater than or equal to 50 degrees) and 20 m (for slope angle less than or equal to 20 degrees) respectively; the flow-field is laminar otherwise. A constant ambient temperature 2.3 degrees C and salinity 35 psu is maintained throughout the simulations. The DNS successfully resolved all possible turbulence length scales and relative contributions of diffusive and turbulent heat transfer into the ice wall is measured. Data available: Excel file Meltrate_vs_slopeangle_lam_turb.xlsx contains both simulated laminar and turbulent dissolution/melt rate as a function of slope angle along with their analytical values based on laminar and turbulent scaling theory respectively.

Balance Ice Velocities for the Antarctic ice sheet. These ice velocities (in m/yr) represent the (hypothetical) distribution of depth-averaged ice velocities that would keep the Antarctic ice sheet in its present shape (i.e. surface topography and thickness), under the influence of a prescribed accumulation distribution. The present fluxes were computed using computer code BalanceV2 (by Warner) (outlined in Budd and Warner 1996, and detailed in Fricker, Warner and Allison 2000), using the surface accumulation dataset of Vaughan et al (1999), the ice sheet surface elevation dataset distributed by BEDMAP (attributed to Liu et al 1999), and the ice sheet thickness compilation distributed by the BEDMAP consortium (Lythe et al 2001).

A mathematical model (Bennetts et. al, 2022, doi.org/10.1029/2022GL100868) is used to analyse the ocean wave transfer to the Ross Ice Shelf flexure. The results showed significant impact of shelf geometry and wave period on flexural strain. The presented study further investigates the impact of geometrical variations on shelf flexure by doing a case study on the Larsen C Ice Shelf. The analysis also extended to multiple ice shelves to providing statistical relationships between shelf flexure and ice shelf thickness and seabed variation across the range of wave periods (swell, infra-gravity, and extremely long period waves). The geometry data of ice shelves are collected from the Bedmap2 dataset (Fretwell et al, 2013, doi.org/10.5194/tc-7-375-2013) and feed into our model to calculate the corresponding flexural strain and stored in our data files. Our dataset consists of MAT-files which require MATLAB to read the data. The folder includes a data folder and some MATLAB functions to produce the figures as shown in the paper (Jie et. al, (submitted 2023)). The data folder consists 7 MAT files named "Fig_number" where each file is for generating the corresponding figure. Data file named "3km_divided_thick_updated" includes all the input/output data collected of 15 ice shelves for statistical analysis. We also made a comparison between BedMachine3 and BEDMAP2 (BedMachine3 (Morlighem, Mathieu, et al. 2020, https://www.nature.com/articles/s41561-019-0510-8) is another dataset containing Antarctic geometry data). The data "Larsen_bedmachine3" and "Larsen_bedmap2" include the outputs (flexure strain) of the Larsen C Ice Shelf using the geometry from BedMachine3 and BEDMAP2 and "Larsen_map_Bedmachine" and "Map_Larsen_c" and are for producing the maps of Larsen C from BedMachine3 and BEDMAP2 respectively. Eight MATLAB scripts are included to recreate results from Jie et al (submitted). "Fig_1_model" is for producing a geometry of Larsen C using BEDMAP2, "Fig_2_3_varying_geometry" is for geometry variation analysis for Larsen C, "Fig_4_strain_profile" is to show the strain for all the transects covering Larsen C, "Fig_5_Box_plot_with_period_Outliners" is for producing box-plot of strain with outliers for Larsen C, "Fig_6_Box_plot_with_period_all_shelf" is for producing median strain over wave periods for 15 ice shelves, "Fig_7_8_Box_plot_with_shelves_correlation_log" and "Fig_9_correlation_and_periods" are showing the correlation of strain and shelf front thickness / water cavity depth. "Fig_10_Box_plot_with_period_Outliners" is showing a comparison of BedMachine3 and BEDMAP2 using Larsen C as an example.

This dataset contains records of ice thickness and snow thickness from Davis Antarctica. Measurements were attempted on a weekly basis and have been recorded since 1957 and are ongoing, although data have only been archived here until 2002. The observations are not continuous however. The dataset is available via the provided URL. This data were also collected as part of ASAC projects 189 and 741. Logbook(s): Glaciology Davis Sea Ice Logs 1992-1999

AM06 borehole drilled January 2010. See the pdf file as part of the download for more information on the work carried out as part of this borehole.

AM04 borehole drilled January 2006. A single current meter data dip was collected during routine CTD operations over a period of 4 days upon completion of borehole. Consult Readme file for detail of data files and formats.