AndreaBozzo/ceres-open-data-index huggingface dataset:
Glaciomorphological features on the East Antarctic Davis and Mawson Sea continental shelves - First results from Polarstern Expedition PS141

The RV Polarstern Expedition PS141 (06.02 – 14.04.2024), entitled "East Antarctic Ice Sheet Instability and its interaction with changes in Southern Ocean circulation - Part 3 (EASI-3)", was the third of the EASI expeditions that aim to investigate ocean–ice sheet interactions along the East Antarctic margin on different timescales. East Antarctic Ice Sheet (EAIS) fluctuations directly impact global sea level and ocean circulation. Studies on long-term ice sheet variability have so far mainly focused on the West Antarctic Ice Sheet (WAIS). Therefore, very little is known about EAIS’s response to past climate fluctuations, especially its interplay with oceanic processes along the continental margin directly offshore the deep and vulnerable Aurora subglacial basin.
The target region of the expedition were the Davis and Mawson Sea continental shelves between 85°E and 115°E, off the ice margin of Wilhelm II to Wilkes Land. Continuous multibeam bathymetry and sediment echography surveys of this largely unexplored area was one of the main objectives of the expedition. In total, we collected more than 7500 nm of hydroacoustic data on this expedition. The data reveal a wealth of sediment transport features from the upper continental slope towards a variety of glacial landscapes on the shelf, including iceberg scours, mega-scale glacial lineations, subglacial lakes, and grounding zone wedges. Detailed mapping of these features will help to reconstruct ice sheet dynamics in this area. Here we present some first preliminary results of the expedition.

Abstract presented at the 2nd International Conference on Seafloor Landforms, Processes and Evolution, Italy 2024.

Tags: Antarctic Geoscience, Antarctica, EAIS, EASI-3, Ice Sheet, Marine Geoscience, Published_External, Sea Level, Seabed Mapping, Southern Ocean, conference material
Organization: Geoscience Australia Data
Mapping and characterising springs for understanding groundwater-surface water interactions in the Upper Burdekin Region, north Queensland

The Upper Burdekin region in north Queensland consists of basaltic, alluvial and fractured rock aquifers. In addition to stock and domestic water use, the basalt aquifers sustain wetlands and provide baseflow to streams. Demand for water in the region is predicted to increase, with potential impacts on water availability for natural ecosystems. Understanding the mechanisms and dynamics of groundwater and surface water system interactions is required for the protection and management of groundwater dependent ecosystems. 
The Basalt Provinces in the Upper Burdekin region contain springs in numerous locations. Springs have been identified as both local discharge features, occurring as small seeps, and as regionally significant discharge features that drive permanent flow in many streams, including the Upper Burdekin River. These springs have differing temporal dynamics and hydrochemical signatures that reflect their combination of groundwater sources, positions in the landscape and phenology.
Springs in the Upper Burdekin region have been mapped and characterised by a variety of methods. To complement the more traditional hydrochemical and topographic approaches for understanding groundwater-surface water interactions, remote sensing approaches have also been applied. Remote sensing products provide spatial and temporal datasets that are particularly useful for the current study due to the large area, restricted access and limited availability of time-series hydrological data. Tasselled cap algorithms have been applied to Landsat series spectral data (available through Digital Earth Australia) to identify springs that contribute flow to surface water systems and understand the seasonal response of water in the landscape over multi-decadal time periods.
Presented at the 2018 Australian Geoscience Council Convention (AGCC)

Tags: Digital Earth Australia - DEA, EARTH SCIENCES, Upper Burdekin Queensland, aquifer, basalt, groundwater, groundwater dependent ecosystem - GDE, remote sensing, springs, surface water, tasselled cap
Organization: Geoscience Australia Data
Kimberley Marine Park 30 m bathymetry and derived Morphological Surfaces

Australia has established a network of 58 marine parks within Commonwealth waters covering a total of 3.3 million square kilometres, or 40 per cent of our exclusive economic zone (excluding Australian Antarctic Territory). These parks span a range of settings, from near coastal and shelf habitats to abyssal plains. Parks Australia manages the park network through management plans that came into effect for all parks on 1 July 2018. Geoscience Australia is contributing to their management by collating and interpreting existing environmental data, and through the collection of new marine data.  “Eco-narrative” documents are being developed for those parks, where sufficient information is available, delivering collations and interpretations of seafloor geomorphology, oceanography and ecology. Many of these interpretations rely on bathymetric grids and their derived products, including those in this data release.

Geoscience Australia has developed a new marine seafloor classification scheme, which uses the two-part seafloor mapping morphology approach of Dove et al (2016). This new scheme is semi-hierarchical and the first step divides the slope of the seafloor into three Morphological Surface categories (Plain, 10°). This classification was applied to the portion of the Beaman and Spinnocia (2018) 30 m grid within the Kimberley Marine Park. 

This research is supported by the National Environmental Research Program Marine Biodiversity Hub through Project D1.

Beaman, R.J. and Spinoccia, M. (2018). High-resolution depth model for Northern Australia - 30 m. Geoscience Australia.

Dove, D., Bradwell, T., Carter, G., Cotterill, C., Gafeira, J., Green, S., Krabbendam, M., Mellet, C., Stevenson, A., Stewart, H., Westhead, K., Scott, G., Guinan, J., Judge, M. Monteys, X., Elvenes, S., Baeten, N., Dolan, M., Thorsnes, T., Bjarnadóttir, L., Ottesen, D. (2016). Seabed geomorphology: a twopart classification system. British Geological Survey, Open Report OR/16/001. 13 pages.

Tags: EARTH SCIENCES, Marine Biodiversity Hub, National Environmental Science Program, Published_External, bathymetry, bathymetry grid, marine, marine data
Organization: Geoscience Australia Data
A crustal Pb isotope map of southeastern Australia

Lead isotopes are a powerful geochemical tracer and a popular tool in a broad range of scientific fields, e.g., Earth Sciences, Archaeology, and Forensic Sciences. Here we present a Pb isotope dataset collected from 232 igneous basement samples, spanning a ca. 2.3 million km2 area in southeastern Australia. Furthermore, this contribution provides a range of isotopic maps showing the spatial variability of Pb isotope ratios (206Pb/(204Pb, (207Pb/(204Pb, and (208Pb/(204Pb), magma source U/Pb and Th/U, and Pb model ages. The samples selected for this study include both U- and Th-poor (i.e., K-feldspar), as well as, U- and Th-bearing (i.e., whole-rock) sampling media, thus, expanding the applicability of the presented dataset and providing an image of the influence of radiogenic ingrowth in the crust. This dataset has the potential to benefit a variety of scientific fields and provides an important resource for addressing Earth Science questions ranging from unravelling crustal architecture, tracing magma source U- and Th-enrichment, to mineral deposit genesis.

Citation: Liebmann, J., Ware, B., Mole, D.R., Kirkland, C.L., Fraser, G., Waltenberg, K., Bodorkos, S., Huston, D.L., Evans, N.J., McDonald, B.J., Rankenburg, K., Datta, P. & Tessalina, S. 2024. A crustal Pb isotope map of southeastern Australia. Scientific Data, 11, 1222, 
https://doi.org/10.1038/s41597-024-03549-3.

Tags: EFTF – Exploring for the Future, Isotope Geochemistry, Pb isotopes, Published_External, crustal architecture, isotope mapping
Organization: Geoscience Australia Data
National geoscience: the foundation for Australia’s critical minerals future

Australia is a major global supplier of critical mineral resources, ranking in the top five producers for nine of the 26 commodities on the 2022 Australian critical minerals list, and is a leading producer of many other minerals essential for the transition to net zero. To meet rapidly growing global demand, and position Australia as a reliable source of critical minerals to the world, it is essential to maintain a critical minerals resource pipeline. Geoscience Australia aims to accelerate discovery by increasing understanding of critical mineral systems, sourcing new commodities from existing assets, and delivering data and integrated interpretive products to stimulate exploration, aid future discovery success, and position communities and government to make informed decisions about future resource development.
The vast amount of precompetitive geological, geochemical and geophysical data acquired by Geoscience Australia and its predecessor agencies for over 70 years is finding new applications in exploration for critical minerals. These foundations are being built upon by new precompetitive data delivered as part of Geoscience Australia’s Exploring for the Future program aimed at mapping the Earth’s structure and composition from the surface and into the mantle, providing insights into the fundamental processes that lead to the formation of mineral systems, both spatially and temporally.
Drawing on research by the academia and conceptual mineral system models, these data are being integrated to produce national-scale predictive mineral potential and economic fairways maps to reduce the exploration search space and inform exploration targeting. Recognising that extracting secondary commodities from existing deposits will be an essential source for the critical mineral requirements of the future, Geoscience Australia is collaborating with international counterparts and Australian universities to undertake a national assessment of critical mineral potential in known deposits, including characterising critical minerals occurring in ores and those contained in waste from previous mining operations.
Presented at 2023 Critcon Conference

Tags: Critical minerals, EARTH SCIENCES, Exploring for the Future, GEOLOGY, Mineral systems, Published_External
Organization: Geoscience Australia Data
Joseph Bonaparte Gulf 30 m bathymetry and derived Morphological Surfaces

Australia has established a network of 58 marine parks within Commonwealth waters covering a total of 3.3 million square kilometres, or 40 per cent of our exclusive economic zone (excluding Australian Antarctic Territory). These parks span a range of settings, from near coastal and shelf habitats to abyssal plains. Parks Australia manages the park network through management plans that came into effect for all parks on 1 July 2018. Geoscience Australia is contributing to their management by collating and interpreting existing environmental data, and through the collection of new marine data.  “Eco-narrative” documents are being developed for those parks, where sufficient information is available, delivering collations and interpretations of seafloor geomorphology, oceanography and ecology. Many of these interpretations rely on bathymetric grids and their derived products, including those in this data release.

Geoscience Australia has developed a new marine seafloor classification scheme, which uses the two-part seafloor mapping morphology approach of Dove et al (2016). This new scheme is semi-hierarchical and the first step divides the slope of the seafloor into three Morphological Surface categories (Plain, 10°). This classification was applied to the portion of the Beaman and Spinnocia (2018) 30 m grid within the marine park. 

Beaman, R.J. and Spinoccia, M. (2018). High-resolution depth model for Northern Australia - 30 m. Geoscience Australia.

Dove, D., Bradwell, T., Carter, G., Cotterill, C., Gafeira, J., Green, S., Krabbendam, M., Mellet, C., Stevenson, A., Stewart, H., Westhead, K., Scott, G., Guinan, J., Judge, M. Monteys, X., Elvenes, S., Baeten, N., Dolan, M., Thorsnes, T., Bjarnadóttir, L., Ottesen, D. (2016). Seabed geomorphology: a twopart classification system. British Geological Survey, Open Report OR/16/001. 13 pages.
This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

Tags: Marine Biodiversity Hub, National Environmental Science Program, Published_External, bathymetry, bathymetry grid, marine, marine data
Organization: Geoscience Australia Data
Perth Canyon Marine Park Bathymetry - 40m Resolution Grid

Australia has established a network of 58 marine parks within Commonwealth waters covering a total of 3.3 million square kilometres, or 40 per cent of our exclusive economic zone (excluding Australian Antarctic Territory). These parks span a range of settings, from near coastal and shelf habitats to abyssal plains. Parks Australia manages the park network through management plans that came into effect for all parks on 1 July 2018. Geoscience Australia is contributing to their management by collating and interpreting existing environmental data, and through the collection of new marine data. “Eco-narrative” documents are being developed for those parks, where sufficient information is available, delivering collations and interpretations of seafloor geomorphology, oceanography and ecology. Many of these interpretations rely on bathymetric grids and their derived products, including those in this data release. Bathymetry grids The bathymetry of the marine parks was created by compiling and processing Geoscience Australia’s bathymetry data holding gridded at the optimum resolution depending of the vessel’s sonar system. The bathymetry of the park is illustrated by a panchromatic geotiff image, developed by combining the bathymetric data with a hillshade image.  Morphological Surfaces Geoscience Australia has developed a new marine seafloor classification scheme, which uses the two-part seafloor mapping morphology approach of Dove et al (2016). This new scheme is semi-hierarchical and the first step divides the slope of the seafloor into three Morphological Surface categories (Plain, 10°). Dove, D., Bradwell, T., Carter, G., Cotterill, C., Gafeira, J., Green, S., Krabbendam, M., Mellet, C., Stevenson, A., Stewart, H., Westhead, K., Scott, G., Guinan, J., Judge, M. Monteys, X., Elvenes, S., Baeten, N., Dolan, M., Thorsnes, T., Bjarnadóttir, L., Ottesen, D. (2016). Seabed geomorphology: a twopart classification system. British Geological Survey, Open Report OR/16/001. 13 pages. This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.This dataset is not to be used for navigational purposes.

Tags: AusSeabed, HVC_144641, Marine Biodiversity Hub, National Environmental Science Program, Published_External, bathymetry, bathymetry grid, marine, marine data
Organization: Geoscience Australia Data
Modelling Australian Gravimetric Quasi-Geoid with airborne gravimetry

Computing a geoid from gravity anomalies involves a series of “remove-predict-restore” operations. This process begins by removing global gravity and terrain effects, predicting the geoid, and then restoring these effects to obtain the final geoid model. Our study presents a comprehensive methodology for geoid computation across Australia, utilizing least squares collocation (LSC) for prediction. The LSC method involves two main stages. First, we generate a grid of gravity anomalies covering the region. These anomalies are derived from various sources, including terrestrial datasets, satellite altimetry, and airborne gravimetry and gradiometry campaigns. In the second stage, we use these gridded anomalies to calculate grid-based geoid heights. Our presentation focuses on the LSC computations specifically for New South Wales and Victoria. We emphasize the integration of diverse gravity data types—terrestrial, altimetry, airborne gravimetry, and airborne gradiometry. By adopting a combined approach, we produce a gridded quasi-geoid using LSC within the remove-predict-restore framework. This work provides valuable insights into the robust application of LSC for geoid determination. It demonstrates the efficacy of amalgamating different datasets to yield precise and comprehensive geoid models tailored to specific regions. The integration of airborne gravimetry and gradiometry data is particularly noteworthy, as it enhances the accuracy and resolution of the geoid model. In summary, our methodology showcases the potential of LSC in geoid computation, highlighting its ability to integrate multiple data sources effectively. This approach not only improves the accuracy of the geoid model but also ensures that it is well-suited to the Two-frame approach for height in Australia. Through this study, we aim to contribute to the ongoing efforts in Australian Gravimetric Quasi-Geoid modelling, providing a reliable and precise gravimetric quasi-geoid model for the Australian Vertical Working Surface.&nbsp;&nbsp;


This was presented at the FIG Working Week 2025 Brisbane, Australia 6-10 April.

Tags: Airborne Gravity, Earth system sciences, Quasi-Geoid, positioning
Organization: Geoscience Australia Data
Generating Continental Scale Pixel-Based Surface Reflectance Composites in Coastal Regions with the Use of a Multi-Resolution Tidal Model

Generating continental-scale pixel composites in dynamic coastal and estuarine environments presents a unique challenge as the application of a temporal or seasonal approach to composite generation is confounded by tidal influences. We demonstrate how this can be resolved using an approach to compositing that provides robust composites of multi-type environments. In addition to the visual aesthetics of the images created, we demonstrate the utility of these composites for further interpretation and analysis. This is enabled by the manner in which our approach captures the spatial variation in tidal dynamics through the use of a Voronoi mesh, and preserves the band relationships within the modelled spectra at each pixel. Case studies are presented which include continental-scale mosaics of the Australian coastline at high and low tide and tailored examples demonstrating the potential of the tidally constrained composites to address a range of coastal change detection and monitoring applications. We conclude with a discussion on the potential applications of the composite products and method in the coastal and marine environment, as well as further development directions for our tidal modelling framework.
Citation: Sagar, S.; Phillips, C.; Bala, B.; Roberts, D.; Lymburner, L. Generating Continental Scale Pixel-Based Surface Reflectance Composites in Coastal Regions with the Use of a Multi-Resolution Tidal Model. Remote Sens. 2018, 10, 480. https://doi.org/10.3390/rs10030480

Tags: EARTH SCIENCES, Landsat, change detection, coastal, pixel=based composites, tidal
Organization: Geoscience Australia Data
MODIS Derived Sea Surface Temperature dataset: Seasonal Variations

The dataset measures the long-term seasonal variations of the sea surface temperature (SST) of ocean surface waters. They are derived from MODIS (aqua) images using NASA's SeaDAS image processing software. The monthly SST images between July 2002 and December 2017 are used to calculate the standard deviations of the four austral seasons: winter (June, July, and August), spring (September, October and November), summer (December, January and February) and autumn (March, April and May). The extent of the dataset covers the entire Australian EEZ and surrounding waters (including the southern ocean). The unit of the dataset is Celsius degree.
This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

Tags: Earth Sciences, MODIS, Marine Biodiversity Hub, National Environmental Science Program, Published_External, SST
Organization: Geoscience Australia Data
Heavy Lift Tow Truck Tandem Drive

RAV Network information periodically changes with additions or removal of data and users should confirm that information is current and accurate. The RAV Network Road Tables and RAV Mapping Tool can be found on the Main Roads Western Australia website, refer Hyperlink below.https://www.mainroads.wa.gov.au/heavy-vehicles/Main Roads Open Data: Restricted Access Networkshttps://portal-mainroads.opendata.arcgis.com/pages/hvs-networksUpdate Frequency: WeeklySpatial Coverage: Western AustraliaLegalYou are accessing this data pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes. Main Roads WA website is the official and current source of RAV Network data.Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material and when you Share your Adapted Material: The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability. Main Roads WA website is the official and current source of RAV Network data.Licensinghttps://creativecommons.org/licenses/by/4.0/legalcode

Tags: HVS, RAV, Restricted Structures
Organization: Main Roads Western Australia