The purpose of this study is to evaluate performance of seven different SMB estimates by using GPS vertical deformation timeseries. Data contain the information on elastic displacements at GPS sties in Antarctica from 1979 to 2022, derived from seven SMB products namely RACMO2.4p1 (11 km spatial resolution, monthly temporal resolution), RACMO2.3p2 (27 km, monthly), a downscaled version of RACMO2.3p2 (2 km, monthly), MAR v3.11 (35 km, monthly), GEMB (10 km, monthly), HIRHAM5 (12.5 km, monthly) and MERRA-2 (12.5 km, 5 days). We generated the SMB mass variability time series spanning 1980-2022 by first computing, for each SMB model, the SMB anomalies from the long-term mean SMB computed over 1980-2022. The resulting SMB anomalies were cumulatively summed, detrended, and bilinearly interpolated onto a common regular grid of 2 km resolution. A uniform land mask (Mosaic of Antarctica version 2), defining the extent of the grounded ice sheet (including the offshore islands), was applied to the grid after resampling to the same 2 km resolution. We computed elastic displacements derived from each of these SMB models by converting the detrended SMB mass anomalies at each location and time into arrays of cylinders defined with 1 km radius and a height representing the equivalent ice mass. These arrays were subsequently input into the Regional ElAstic Rebound calculator (REAR, v1.5), adopting the Preliminary Reference Earth Model (PREM) to compute the elastic loading displacements in a centre-of-solid Earth (CE) reference frame at each GPS site location.

This dataset is derived from a comparative study evaluating six DNA extraction methods for their efficiency in recovering diatom sedimentary ancient DNA (sedaDNA) from Antarctic marine sediments. Sediment samples were collected from two sites: U1536C (Scotia Sea, West Antarctica) and KC02 (Sabrina Coast, Totten Glacier Region, East Antarctica). Each of the six extraction methods was applied to the same set of samples. Following shotgun metagenomic sequencing, the methods were assessed based on metrics such as diatom DNA recovery, average fragment length, and taxonomic diversity. The purpose of the study was to identify the optimal extraction approach for maximizing the yield and quality of diatom sedaDNA, thereby improving its utility for paleoenvironmental reconstruction.

These datasets compile rock physical properties from outcrops across the Bunger Hills oasis, Wilkes Land, East Antarctica, observed during the 2023–24 austral summer. Records include magnetic susceptibility (κ), radiogenic element concentrations (K, U, Th), and dry bulk density (rho), with station/sample identifiers, WGS84 coordinates, and per-record uncertainties. The compilation is intended to support regional geophysical interpretation and modeling, e.g., gravity-magnetic integration, crustal property mapping, and geothermal assessment. Data are provided as point observations without spatial interpolation. Dataset 'Petro_chem.xlsx' contains all insitu measurements in the field including calibration measurements (Start of the day: SOD, and End of day: EOD). Dataset 'DTC34-24_Sus_Density_HP.xlsx' contains density measurements on selected rock samples together with re-measured susceptibility and insitu co-located heat production measurements.

This dataset is a geomorphic classification of the shelf features surrounding Lord Howe Island and Balls Pyramid. This dataset provides information on the size, extent and type of features which occur around the shelves, which can be used for a broad range of marine planning and research purposes. Shelves were classified into shelf region (inner, mid, outer) and geomorphic features. Features include an extensive submerged fossil reefs, ridges and patch reefs, sandy basins, paleochannels, modern fringing reef, shallow lagoon, shelf edge terraces and shelf break. Broad seafloor features were visually interpreted through digitisation in ArcGIS v10.1 using terminology consistent with international nomenclature and national standards. The classification of geomorphic features extends upon the interpretation of Balls Pyramid shelf undertaken by Linklater et al. (2015). Full description of methods is outlined in the following open-access publication, accessible by the following link: https://doi.org/10.3390/geosciences8010011 Version 1 of the data available from https://doi.org/10.17632/8vrtxts669.1

Voyage IN2019_V04 contributed an additional 29,000 kms2 of seafloor survey data to the Coral Sea knowledge base. From this new bathymetric data individual seamounts have been extracted and have been classified to the Geoscience Australia Geomorphology Classification Scheme. This dataset contains two layers representing the classification layers- 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology of the seamount for the Calder Seamount. Two classification layers are available for each seamount: 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology This parent record contains links to child records describing collections from seven (7) seamounts: • Fregetta Seamount • Mellish Seamount • Sula Seamount • Lexington Seamount • Kenn Seamount • Calder Seamount • Cassowary Seamount Data from individual seamounts are available through each record, or as a single data package in the 'Online Resources' section of this record.