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    Total magnetic intensity (TMI) data measures variations in the intensity of the Earth's magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic anomalies can be either positive (field stronger than normal) or negative (field weaker) depending on the susceptibility of the rock. The data are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. These line dataset from the Murrindal, Vic, 1996 VIMP Survey (GSV3060) survey were acquired in 1995 by the VIC Government, and consisted of 15589 line-kilometres of data at 200m line spacing and 80m terrain clearance. To constrain long wavelengths in the data, an independent data set, the Australia-wide Airborne Geophysical Survey (AWAGS) airborne magnetic data, was used to control the base levels of the survey data. This survey data is essentially levelled to AWAGS.

  • This is a test record for the puproses of minting a DOI and tresting the process.

  • <div>The Abbot Point to Hydrographers Passage bathymetry survey was acquired for the Australian Hydrographic Office (AHO) onboard the RV Escape during the period 6 Oct 2020 – 16 Mar 2021. This was a contracted survey conducted for the Australian Hydrographic Office by iXblue Pty Ltd as part of the Hydroscheme Industry Partnership Program. The survey area encompases a section of Two-Way Route from Abbot Point through Hydrographers Passage QLD. Bathymetry data was acquired using a Kongsberg EM 2040, and processed using QPS QINSy. The dataset was then exported as a 30m resolution, 32 bit floating point GeoTIFF grid of the survey area.</div><div>This dataset is not to be used for navigational purposes.</div>

  • The Surface Hydrology Points (Regional) dataset provides a set of related features classes to be used as the basis of the production of consistent hydrological information. This dataset contains a geometric representation of major hydrographic point elements - both natural and artificial. This dataset is the best available data supplied by Jurisdictions and aggregated by Geoscience Australia it is intended for defining hydrological features.

  • Geoscience Australia carried out a marine survey on Carnarvon shelf (WA) in 2008 (SOL4769) to map seabed bathymetry and characterise benthic environments through colocated sampling of surface sediments and infauna, observation of benthic habitats using underwater towed video and stills photography, and measurement of ocean tides and wavegenerated currents. Data and samples were acquired using the Australian Institute of Marine Science (AIMS) Research Vessel Solander. Bathymetric mapping, sampling and video transects were completed in three survey areas that extended seaward from Ningaloo Reef to the shelf edge, including: Mandu Creek (80 sq km); Point Cloates (281 sq km), and; Gnaraloo (321 sq km). Additional bathymetric mapping (but no sampling or video) was completed between Mandu creek and Point Cloates, covering 277 sq km and north of Mandu Creek, covering 79 sq km. Two oceanographic moorings were deployed in the Point Cloates survey area. The survey also mapped and sampled an area to the northeast of the Muiron Islands covering 52 sq km. cloates_3m is an ArcINFO grid of Point Cloates of Carnarvon Shelf survey area produced from the processed EM3002 bathymetry data using the CARIS HIPS and SIPS software

  • This data set comprises one of three archives of Geoscience Australia work in the project "A Consistent Approach to Groundwater Recharge Determination in Data Poor Areas". The project was carried out by CSIRO and Geoscience Australia and was funded by the National Water Commission Raising National Water Standards program. The data contained included Original data sourced for the project, Final data produced by the project, MXD's of maps created, and tools used within the project. The archives created for this project comprise: 1. Data archive. Data set stored in the GA CDS. Geocat Record number 79804 2. Adminstration and publication archive. Documents stored in TRIM Project P10/67 RECHARGE-DISCHARGE PROJECT 3. References archive. Endnote library located at \\nas\eg\water\References\Recharge_Discharge_Project.enl For more information about the creation of these archives, including the location of files, see TRIM D2014-102808 For more information about the project, see the following references: Leaney F, Crosbie R, O'Grady A, Jolly I, Gow L, Davies P, Wilford J and Kilgour P. 2011. Recharge and discharge estimation in data poor areas: Scientific reference guide. CSIRO: Water for a Healthy Country National Research Flagship. 61 pp (GA Record No. 2011/46 GACat # 71941) Jolly I, Gow L, Davies P, O'Grady A, Leaney F, Crosbie R, Wilford J and Kilgour P. 2011. Recharge and discharge estimation in data poor areas: User guide for the recharge and discharge estimation spreadsheets and MapConnect. CSIRO: Water for a Healthy Country National Research Flagship. 40 pp. (GA Record No. 2011/35 GeoCat # 71940) Pain, C.F., Gow, L.J, Wilford, J.R. and Kilgour, P. 2011. Mapping approaches to recharge and discharge estimation and associated input datasets. A report for CSIRO: Water for a Healthy Country National Research Flagship. (Professional Opinion No. 2011/01 GeoCat # 70392)

  • Oil and Gas pipeline infrastructure.

  • This use of this data should be carried out with the knowledge of the contained metadata and with reference to the associated report provided by Geoscience Australia with this data (Reforming Planning Processes Trial: Rockhampton 2050). A copy of this report is available from the the Geoscience Australia website (http://www.ga.gov.au/sales) or the Geoscience Australia sales office (sales@ga.gov.au, 1800 800 173). The wind hazard outputs are a series of rasters, one for each average recurrence interval considered, presenting peak wind hazard (peak from all directions) as measure in km/h. This file presents the future climate wind hazard. The file name indicates the hazard being presented, e.g. wspd_rp_1000_max.tif is the 1000 year Return Period (RP - equivalent to Average Reccurrence Interval (ARI)) and is the maximum wind speed from all directions. The local wind multipliers adjust the 3-second gust regional RP wind speed from 10 m above ground level to ground level with the consideration of topography and shielding effects. Eight cardinal directions are calculated for every raster cell and the maximum of these values is then derived and presented here.

  • This dataset contains the sea surface temperature data derived from the MODIS Terra sensor, the chlorophyll data derived from the SeaWIFS satellite, and the K490 data derived from the SeaWIFS satellite. Ocean temperature is a useful indicator of the type of marine life that could be found at a particular location. Many marine plants and organisms have a relatively narrow range of tolerance for temperature, and will either perish or be out-competed where temperatures are outside their comfort zone. Chlorophyll a is a plant pigment which provides a measurement of the biomass (or quantity) of plants. In the water column, it is a measure of the suspended (or planktonic) biomass of single-celled microscopic plants. Chlorophyll is a commonly used measure of water quality. K490 indicates the turbidity of the water column; the depth to which the visible light in the blue-green region of the spectrum penetrates the water column. It is directly related to the presence of particles in the water column. Turbidity has consequences for benthic marine life, ranging from the availability of light to the quantity of nutrients in the water column. The datasets contain 6 grids. Two for each variable: mean and standard deviation. Please see the metadata for detailed information.

  • The map provides a visual representation of the sand content of seabed sediments expressed as a weight percentage. The data are represented from 0 to 100%. The data on which this map is based were compiled from Geoscience Australia's MARine Sediment database (MARS - http://www.ga.gov.au/oracle/mars/).