Showing results for: [ Information and Computing Sciences ]
An Ontology for the Australian Statistical Geography Standard (ASGS), a framework of statistical areas used by the Australian Bureau of Statistics (ABS) and other organisations to enable the publicati... moreon of statistics that are comparable and spatially integrated. This ontology contains the definitions for the ABS Structures which are areas that the ABS designs specifically for outputting statistics. less
Loc-I - Loc-I - Published 08 Jul 2020
An extension to GeoSPARQL with new features for the representation of additional elements of feature geometry, such as spatial-resolution, length, area and volume.
Ontology used in RDF encoding of Geological Timescale
Loc-I API Extensions - Geological Timescale - linked-data representation - Published 08 Jul 2020
RDF/OWL representation of the 2020-01 edition of the International Chronostratigraphic Chart from the International Commission on Stratigraphy.
RDF/OWL representation of the 2019-05 edition of the International Chronostratigraphic Chart from the International Commission on Stratigraphy.
The DCM software is a Microsoft Windows™-based application for 3D microstructure characterization, modelling and visualization. It include the following functionalities:
• Generate digital 3D represen... moretation of material compositional phases in a sample using the data-constrained modelling methodology and X-ray CT data, even for the cases that there are partial volumes of multiple phases in the same image voxel;
• Visual presentation of 3D volumetric data. The visualization is compatible with various display devices, including stereo 3D monitors;
• Exporting 3D data in various formats, including the web-friendly Web3D format for interactive 3D online view, animation, serial sectional slices, etc.;
• Functionality of the software can be extended by adding plug-in modules to perform virtually unlimited 3D modelling. A set of C++ programming API is included for user convenience.
The DcmLite can be downloaded for evaluation. Please feel free to contact us if you would be interested in acquiring a DCM software user licence, R&D collaboration, commercial exploitation, or knowing more about DCM. The DCM website is at http://research.csiro.au/dcm.
Non-destructive quality evaluation of additive-manufactured components - Data-constrained modelling - Published 06 Jul 2020
A set of RDFgraphs representing the International [Chrono]stratigraphic Chart, comprising Turtle serializations of data from the 2017-02 version, along with updated ontologies that define the structur... moree of the data.
The Geological Timescale Model is aligned with the W3C OWL-Time ontology https://www.w3.org/TR/owl-time/ for the temporal topology, with OGC GeoSPARQL http://www.opengeospatial.org/standards/geosparql for location data, and with the W3C SOSA/SSN ontology for samples.
The content of the vocabulary matches the 2017-02 International Chronostratigraphic Chart. less
Legacy data - Geological Timescale - linked-data representation - Published 24 Jun 2020
RDF/OWL representation of the 2018-08 edition of the International Chronostratigraphic Chart from the International Commission on Stratigraphy.
Specialist consultation on ARDC Data Publication Services strategic directions - Geological Timescale - linked-data representation - Published 24 Jun 2020
Code to normalise Amyloid PET images processed through the SPM8 pipeline to the Centiloid scale using non-negative matrix factorization
Legacy data - - Published 18 Jun 2020
Physiological data (such as heart rate, shell gape) of sets of oysters deployed at two marine sites in the D'Entrecasteaux Channel, Tasmania, Australia: Coningham (approximate lat/lon -43.0915, 147.30... more15 ), and Redcliffs (approximate lat/lon -43.3120,147.083).
Water quality data (such as DO, Salinity, pH, Turbidity, Temp, Cond) for both Redcliffs and Coningham (also known as Tinderbox) site.
Sensors were deployed on 9th Nov 2018 at Coningham, and 18th Dec at Redcliffs. The dateset contains the measured water quality and oyster's physiological data up to 15 March 2019. At Redcliffs, there were four functional biosensors placed at the depth of 0.5, 1.5, 5, and 7 meters to measure the oyster's physiological data. On the other hand, there were five biosensors deployed at Coningham at the depth of 0.5, 1.5, 3.5, 5, and 10 meters.
The water quality at each site was measured using a YSI EXO2 multiparameter sonde at 5 m depth. less
Sentinel sensors: revolutionising our understanding and management of the estuarine environment - - Published 03 Jun 2020
High dynamic range (HDR) 360 degree sky colour images taken every ten seconds (resolution 648 x 486 pixels) and every minute (resolution 2592 x 1944 pixels) from two cameras in Canberra.
Legacy data - Sky Image Collection - Published 30 Apr 2020
Legacy data - Sky Image Collection - Published 28 Apr 2020
Legacy data - Sky Image Collection - Published 26 Apr 2020
Legacy data - Sky Image Collection - Published 25 Apr 2020
Legacy data - Sky Image Collection - Published 24 Apr 2020
Legacy data - Sky Image Collection - Published 23 Apr 2020
Workspace is a powerful software platform designed to address two specific user scenarios:
1) Scientists who want to create and share scientific workflows in one coherent, simple environment where mu... morech of the “heavy lifting” has already been developed and proven over a number of years
2) Developers who want to make their software available as commercial products, plugins or components that can be freely mixed with capabilities from collaborators
Initiative: Industrial Tfm - Workspace 6.2.0 Release - Published 03 Apr 2020
The CSIRO Coastal Environmental Modelling (CEM) team develops, maintains and uses the EMS software that allows investigation of the physical, sediment and biogeochemical processes in marine environmen... morets. This is achieved by a ‘driver’ hydrodynamic code into which are linked various libraries to perform sediment transport and biogeochemistry, all supported by a core library. The ‘driver’ may be any model that manages the tracers required for sediments and biogeochemistry. The sediment and biogeochemical libraries are stand-alone modules that are linked to the driver via an interface, and in principle may be linked to any hydrodynamic code. Currently the ‘drivers’ available are a full hydrodynamic mode, a transport model that uses offline data to advect and diffuse sediment / biogeochemical variables, and a box model. The hydrodynamic code may further operate in reduced dimensions of 1D, 2D vertically averaged or 2D laterally averaged. A waves and tracer statistic library also exist; the latter allowing various operations to be performed during run-time on any tracers supported by the driver (e.g. means, fluxes, vertical integrals).
Additional software exists to generate the complex orthogonal curvilinear grids that are typically used for case studies. These grids allow variable resolution over the domain, useful for representing areas of interest with high resolution and less critical regions with coarser resolution. The curvilinear grid may also allow a dimensionality to be reduced from 3-D to 2-D within the same grid. This is useful when representing rivers or narrow estuaries, since the cross-river coordinate becomes very small in these areas and therefore becomes the defining grid size for setting the model time-step. Eliminating these small grid cells by making rivers or estuaries 2-D laterally averaged allows larger time-steps, hence a faster model. The curvilinear grids require dedicated software for visualizisation of model output, and the CEM supports several visualisation platforms to archive this. These software packages allow publication quality images and animations to be produced, and allow exploration of the data in 4 dimensions for analysis purposes.less
Legacy data - - Published 17 Mar 2020
Legacy data - Sky Image Collection - Published 13 Mar 2020
Simulated Nanostructure Assembly with Protoparticles (SNAP) is a synthetic data generator, which allows the construction of user-defined nanoparticles and the subsequent molecular dynamics (MD) modell... moreing and post-simulation analysis of the resulting nanoparticle aggregation. less
Machine Learning Group Operating Cost - Applied Machine Learning - Published 02 Mar 2020
This is a set of 4000 copper (Cu) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimized (fully relaxed) using molecular dynamics with an embedded atom... more (EAM) interatomic potential, at various temperatures and growth rates.
All files are in XYZ format, and the naming convention is defined in the accompanying csv file that lists all of the structural features and energetic properties (see Supporting Attachments).
Sizes range from 133 atoms to 19591 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature and a number of order parameters. The final two columns in the accompanying csv file are target labels, providing the total energy and the excess formation energy. Other features can also be used as labels as desired.less
Machine Learning Group Operating Cost - Nanostructure Data Bank - Published 29 Jan 2020
This is a set of 2500 ruthenium (Ru) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimized (fully relaxed) using molecular dynamics with an embedded a... moretom (EAM) interatomic potential, at various temperatures and growth rates.
All files are in XYZ format, and the naming convention is defined in the accompanying csv file that lists all of the structural features and property indicators (see Supporting Attachments).
Sizes range from 61 atoms to 17428 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature and a number of order parameters. The final five columns in the accompanying csv file are target labels, providing the concentration of classes of surface structures responsible for different types of catalytic reactions, the total energy and the excess formation energy. Links to publications describing these property labels are provided in the Supporting Attachments. Other features can also be used as labels as desired.less