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DCM analysis of a re-constructed synchrotron X-CT image from “leach cup” C (10 g/L [H2SO4], 2 g/L [Fe3+]) of a fresh ore particle before leaching showing a) sulfide phases (blue), b) non-sulfide gangu... moree phases (red), c) void phases (green) and d) combined reconstruction phases. The DCM analysis was conducted on a representative grid (200 x 200 x 100 voxel)less
Sustainability - Fellows Students Visitors Appntd frm 1/07/16 - - Published 08 May 2020
This is the near-real time STORM SHOC hydrodynamic model data. It aims to provide coastal marine modelling of south-east Tasmania, including the Huon and Derwent Estuaries, D'Entrecasreaux Channel and... more Storm Bay
DISCLAIMER: This products is under development and is for demonstration purposes only. CSIRO accepts no responsibility for any subsequent use of the modelling results providedless
Legacy data - Modelling - Published 07 Apr 2020
Two R packages to implement the BJP modelling approach. Details of algorithms published in Wang QJ, Shao Y, Song Y, Schepen A, Robertson DE, Ryu D, Pappenberger F. An evaluation of ECMWF SEAS5 seasona... morel climate forecasts for Australia using a new forecast calibration algorithm. Environmental Modelling & Software 2019, 122:104550.less
Legacy data - Water Forecasting - Published 01 Apr 2020
Fractura Online is a web portal to monitor and track all aspects of hydraulic fracturing and preconditioning. It has been designed to assist the industry in optimising performance and monitoring in pa... morest and future projects. The Fractura web portal is accessible at https://fractura.csiro.au. less
Fractura software platform - - Published 04 Mar 2020
The digital 3-dimenional (3D) mineral mapping suite of Queensland comprises ~20 “standardized” products at the spectral resolution of the ASTER (Advanced Space-borne Thermal Emission and Reflection Ra... morediometer) sensor and generated from publicly-available satellite, airborne, field and drill core spectral data spanning the visible near infrared (VNIR; 0.4 to 1.0 µm), shortwave infrared (SWIR; 1.0 to 2.5 µm) and thermal infrared (TIR; 7.5 to 12.0 µm) wavelength regions, including:
1. Satellite ASTER maps at both 30 m and 90 m pixel resolution with complete coverage of the state of Queensland, i.e. 1.853 million km²;
2. Airborne HyMap maps at ~5 m pixel resolution with a coverage of ~25,000 km2 from areas across north Queensland;
3. Field point samples (~300) from the National Geochemical Survey of Australia (NGSA) collected from a depth of 0-10 cm of flood overbank sediments;
4. Drill-core profiles (~20) of the National Virtual Core Library (NVCL) selected from the area around the Georgetown seismic line (07GA-IG2).
Key to the processing of the remote sensing data-sets (ASTER and HyMap) was the implementation of unmixing methods to remove the effects dry and green vegetation. This unmixing was not applied to the Australian ASTER geoscience maps released in 2012 (called here Version 1 or V1) resulting in extensive areas with little/no mineral information because of the need to apply masks. The vegetation unmixing methods used in the Version 2 (V2) processing of the ASTER and HyMap imagery has resulted in very few areas without coherent mineral information.
The resultant V2 “mineral group” products were designed to measure mineral information potentially useful for mapping: (i) primary rock composition; (ii) superimposed alteration effects; and (iii) regolith cover. These V2 products may assist in mapping soil properties and groundwater conditions. However their relatively low spectral resolution (based on ASTER’s 14 VNIR-SWIR-TIR bands) means that they do not provide the high level of mineralogical detail available from hyperspectral systems (>100 spectral bands), like HyMap and the HyLogger. Nevertheless, the relatively low spectral resolution of ASTER means that all other sensor data can be spectrally resampled to that resolution. Furthermore, the ASTER global data archive, which now spans entire Earth’s land surface <80degrees latitude, means that it can be used as global base-map for integrating all other spectral data.
3D Mineral Map of Queensland - Stage 1 - mineral mapping - Published 06 Dec 2019
A dataset of robotic manipulation tasks. The tasks are recordings of environmental interactions performed by a robotic manipulator. The recorded information includes 6DOF position from motion capture,... more contact forces and torques, and joint torques. Included in the dataset are task protocols, raw data, summarised data and video recordings of the task.less
Legacy data - Manipulation Benchmark Dataset - Published 02 Dec 2019
Spatial input data for the cover factor parameter of the hillslope erosion module of the dSedNet model to simulate sediment generation and transport in the Western Port catchment for a 2018-19 study c... moreommissioned by Melbourne Water.less
dSedNet Melb Water - - Published 28 Nov 2019
Spatial input data to parameterise the stream bank erosion module of the dSedNet model to simulate sediment generation and transport in the Western Port catchment for a 2018-19 study commissioned by M... moreelbourne Water.less
Spatial input data to parameterise the gully erosion module of the dSedNet model to simulate sediment generation and transport in the Western Port catchment for a 2018-19 study commissioned by Melbour... morene Water.less
dSedNet Melb Water - - Published 27 Nov 2019
Visible-near infrared to shortwave infrared (VNIR-SWIR) and midwave infrared to thermal infrared (MIR-TIR) fourier transform infrared spectroscopy (FTIR) measurements of the National Geochemical Surve... morey of Australia soil samples from Geoscience Australia (GA). Samples were measured at the Australian Resources Research Center in Kensington, WA by CSIRO and GA staff between 2013-2016. A total of 1308 samples were measured using the two spectral methods.less
TCP06 EOI Optical Cal Val - Soil spectral measurements - Published 08 Nov 2019
Long-term modelling scenarios under historical (1970-2017) and future climate (2018-2050) using UNSATCHEM module in HYDRUS-1D to assess the longevity of irrigation, using a range of available water re... moresources, in four main soil groups.
File extensions: .in = input file, .out = output file, .dat and .h1d are system files that can't be opened.less
Sustainable Expansion of Recycled Water-Irrigated Agriculture/Horticulture in North Adelaide Plains - HYDRUS modelling - Published 30 Oct 2019
This is an application of the Spark framework configured for interactive use through a graphical user interface on a personal computer.
Design, validate and employ custom fire propagation models, usi... moreng Spark’s computational fire-front propagation solver. Incorporate any number of modules specifically designed for wildfire spread, including readers and writers for geospatial data and a wide range of visualisations and tools to analyse the resulting data.less
Natural Hazards and Infrastruture - Spark - Published 29 Oct 2019
This is an application of the Spark framework configured for command-line use on a server.
Design, validate and employ custom fire propagation models, using Spark’s computational fire-front propagati... moreon solver. Incorporate any number of modules specifically designed for wildfire spread, including readers and writers for geospatial data and a wide range of visualisations and tools to analyse the resulting data.less
Natural Hazards and Infrastruture - Spark Batch Demo - Published 29 Oct 2019
This is an application of the Spark wildfire prediction framework configured for interactive use through a graphical user interface on a personal computer.
Natural Hazards and Infrastruture - Spark - Published 28 Oct 2019
Simulation results for gravity hydraulic fracturing.
The data is in an Excel spreadsheet with figures embedded.
Legacy data - - Published 01 Oct 2019
Raw data for membrane characterisation and experimental results. The data collection is associated with a publication in Journal of Materials Chemistry A.
Legacy data - - Published 31 Jul 2019
This data is associated with the paper O’Grady, J.G., McInnes, K.L., Hemer, M. A., Hoeke, R. K., Stephenson, A., and Colberg, F. (in press), "Extreme Water Levels for Australian Beaches using Empirica... morel Equations for Shoreline Wave Setup", Journal of Geophysical Research: Oceans.
Understanding how high ocean water levels can reach up the coast is important for designing coastal protection from coastal inundation and erosion. This is particularly important as climate change affects wind and weather conditions and sea-level rise with the subsequent modification to the occurrence of the largest storm-driven water levels. While the height of storm-driven water levels are well understood for protected harbours and estuaries, new research is providing estimates of how high water levels can reach for coastlines exposed to dangerous wave/surf conditions. This study uses mathematical model simulations spanning ~30 years of historical water levels and ocean waves. Statistical analysis is performed to determine how high the largest storm events will likely reach on natural sandy beaches directly exposed to large wave/surf conditions.
The data comprises Gumbel distribution parameters from regression fitting to the hindcast model data.
The file ST_rGUM_25m_sta.1981-2013.nc is for the storm-tide SWL heights from the ROMS storm surge hindcast.
The file SU_GT81_rGUM_25m_sta.1981-2013.nc is for wave setup calculated with the Guza, R. T., & Thornton 1981 method.
The file SU_GT81_ST_rGUM_25m_sta.1981-2013.nc is for the time-series combined storm-tide and wave setup.
1) The data datum is relative to the model bathymetry mean sea level (Geoscience Australia’s 2009 250m dataset). Haigh corrected their dataset of storm tide to AHD by comparing modelled 1-year ARI to the tide gauge measurements. “The predicted levels have been artificially adjusted so that the 1-year return period levels exactly match those of the measured estimates at each site. This was done because the predicted water levels are relative to MSL, whereas the measured levels are relative to AHD. Around mainland Australia, AHD was defined using MSL records between 1966 and 1968 at 30 sites and hence differs from present day MSL. Around Tasmania, AHD was defined using two records from 1972.”
2) To convert to AHD, the netcdf file ‘ST_rGUM_25m_sta.1981-2013.nc’ has a variable ‘toAHD’, you will need to add this onto the location parameter ‘mu’. Alternatively add it to the predicted return levels.
3) Wave setup is really only valid for open coastlines exposed to waves, so be careful applying it in estuaries.less
NESP ESSC Coastal Hazards in a Variable and Changing Climate - - Published 25 Jun 2019
The dissolution of low-grade metal sulphides in chloride media was studied by synchrotron-based micro-CT and quantitatively analyzed by using a data-constrained modeling (DCM) approach. The 3D visuali... morezation images from the above DCM analysis were generated and included in this data set.less
OCE postdoc Resource recovery_uranium - Mineral processing - Published 16 Apr 2019
We introduce a synthetic dataset of 10,000 top down images of Arabidopsis plants. Leaf instance segmentation labels for each image are also presented. This dataset was designed to accompany the real d... moreataset provided with the Leaf Segmentation Challenge of the Computer Vision Problems in Plant Phenotyping. Furthermore, we release a leaf instance segmentation pre-trained model based on the Mask-RCNN architecture.less
Legacy data - - Published 10 Jan 2019
These data provide rasterised layers of edaphic (physical and chemical conditions of the soil) and land surface physiography (landform and geomorphology) attributes hypothesised to explain spatial pat... moreterns in biological diversity at continental scales for immediate use with statistical modelling tools. These data are intended to be used along with a similarly compiled and spatially standardised set of climatic layers (See " 0.01 degree stack of climate layers for continental analysis of biodiversity pattern: version 1.0 " in related materials).NOTE: Full details of the data, with a list of data sources and bibliography, are provided in a PDF file included as part of the data collection.less
Closed DEWHA Harness Cntnnt-wide Bdvrsty - Spatial Environmental Data Preparation - Published 11 Dec 2018
We introduce a datasets including a globally consistent point cloud map of QCAT site and 4 sets of static scans under different conditions, together with a manually labelled ground truth transformatio... moren with respect to the global map. This dataset was designed to compare and benchmark different place recognition approaches.
Legacy data - - Published 29 Nov 2018
Flood inundation maps for the Fitzroy catchment in Western Australia for the baseline, dry and wet climate scenarios
Northern Australian Basin Assessment:: Water Resource Assessments - NAWRA surface water modelling - Published 29 Oct 2018
This dataset provides flood inundation extent and duration for the Fitzroy catchment in Western Australia for the flood events of 2001, 2002, 2006, 2007, 2009, 2011 and 2014. The data are in raster fo... morermat. The values in the raster file shows the duration of inundation (days) during an event. The following are the start and end time for each flood.
FLOOD YEAR START DATE END DATE DURATION (DAYS) EXCEEDANCE PROBABILITY (YEARS)
2001 16/02/2001 14/03/2001 27 1 in 16
2002 20/02/2002 7/03/2002 16 1 in 25
2006 16/03/2006 23/03/2006 8 1 in 2
2007 29/03/2007 6/04/2007 9 1 in 3
2009 26/01/2009 14/02/2009 20 1 in 5
2011 25/02/2011 31/03/2011 35 1 in 25
2014 1/02/2014 18/02/2014 18 1 in 3
Northern Australian Basin Assessment:: Water Resource Assessments - - Published 01 Oct 2018
A selection of 3D lidar SLAM point clouds colourised using the method and collection described in "Colourising Point Clouds using Independent Cameras" by Pavel Vechersky, Mark Cox, Paulo Borges, Thoma... mores Lowe, submitted to the IEEE Robotics and Automation Letters, 2018. less
CPS - Robotic Group Operating Expenses - - Published 26 Jun 2018