Product catalogue
A continental-scale seabed sediment particle size, texture and carbonate dataset for the Australian region - Dataset
<div>Geoscience Australia maintains a national collection of marine geological samples and analytical data from across the Australian region. Digital records of these datasets are held within the Marine Sediment Database (MARS), available as an online resource of c. 2.6 million entries. Here we have extracted data from MARS to collate sediment properties for over 15,000 seabed samples for use as a standalone dataset. Analytical data includes textural composition (mud, sand, gravel), summary statistics for particle size distributions, textural class and calcium carbonate values (where available). Information on sample water depth, location and marine survey is also provided. The sample set spans the coast, continental shelf, slope and deep ocean locations across the Australian marine region (covering the extent of the AusBathyTopo 250m 2023 grid). This dataset has utility for a broad range of purposes including seabed characterisation, sediment transport modelling, habitat characterisation, seabed engineering studies and fundamental geological and sedimentological research.</div><div><br></div><div>Additional metadata of this dataset are provided in the word document accompanied with the dataset. The metadata document describes the attribute table, the sediment carbonate classification and the sediment facies.</div>
Simple
Identification info
- Date (Creation)
- 2023-11-29
- Date (Publication)
- 2024-07-26T00:25:30
- Citation identifier
- Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/147981
- Citation identifier
- Digital Object Identifier/https://dx.doi.org/10.26186/147981
- Cited responsible party
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Role Organisation / Individual Name Details Publisher Commonwealth of Australia (Geoscience Australia)
Voice Author Nicholas, W.A.
External Contact Author Nichol, S.
Internal Contact
- Purpose
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To provide a standardised continental-scale seabed sediment dataset that can be used for seabed characterisation, sediment transport modelling, habitat mapping, seabed engineering studies and fundamental geological and sedimentological research.
- Status
- Completed
- Point of contact
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Role Organisation / Individual Name Details Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact McNeil, M.
Internal Contact Resource provider Place and Communities Division
External Contact
- Spatial representation type
- Topic category
-
- Geoscientific information
Extent
))
Temporal extent
- Time period
- 1960-01-01 2022-12-23
- Maintenance and update frequency
- Not planned
Resource format
- Title
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Product data repository: Various Formats
- Website
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Data Store directory containing the digital product files
Data Store directory containing one or more files, possibly in a variety of formats, accessible to Geoscience Australia staff only for internal purposes
- Keywords
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marine
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- Keywords
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seabed
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- Keywords
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mud
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- Keywords
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sand
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- Keywords
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gravel
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- Keywords
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grainsize
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- Keywords
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HVC_144639
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- theme.ANZRC Fields of Research.rdf
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Sedimentology
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- Keywords
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Published_External
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Resource constraints
- Title
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Creative Commons Attribution 4.0 International Licence
- Alternate title
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CC-BY
- Edition
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4.0
- Addressee
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Role Organisation / Individual Name Details User Any
- Use constraints
- License
- Use constraints
- Other restrictions
- Other constraints
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© Commonwealth of Australia (Geoscience Australia) 2024
Resource constraints
- Title
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Australian Government Security Classification System
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
- Classification system
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Australian Government Security Classification System
Associated resource
- Association Type
- Was informed by
- Title
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A continental-scale seabed sediment particle size, texture and carbonate dataset for the Australian region - Journal Paper
- Citation identifier
- 147979
- Citation identifier
- df2aac13-3450-49cb-ac1c-47ad501d1904
Associated resource
- Association Type
- Was derived from
- Title
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Marine Sediments (MARS) Database
- Citation identifier
- 69869
- Citation identifier
- a05f7892-eef2-7506-e044-00144fdd4fa6
- Language
- English
- Character encoding
- UTF8
Distribution Information
- Distributor contact
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Role Organisation / Individual Name Details Distributor Commonwealth of Australia (Geoscience Australia)
Voice facsimile
- OnLine resource
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Download the data excel format [2.6 MB]
Download the data excel format [2.6 MB]
- Distribution format
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zip xlsx
- File decompression technique
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unzip
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- OnLine resource
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Download the data ArcGIS File Geodatabase format [1.4 MB]
Download the data ArcGIS File Geodatabase format [1.4 MB]
- Distribution format
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zip gdb
- File decompression technique
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unzip
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Resource lineage
- Statement
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<div>These data represent a subset of information from 278 marine surveys undertaken within the Australian region between the 1960s and early 2020s. Data were extracted from the Marine Sediments (MARS) database, cleaned and processed as follows using Python 3.8:</div><div>1. Select Grainsize, mud, sand gravel % and bulk CaCO3%</div><div>2. Transpose columns to create row based and sample number indexed data tables</div><div>3. Ensure all rows of data have unique sample numbers and coordinates</div><div>4. Extract water depths from the AusBathyTopo 250m (Australia) 2023 Grid for all samples for consistency in measurement method</div><div>5. Clean the data to ensure only seabed samples with appropriate location, lineage and depths limits are used</div><div>6. Once clean, separate the 4 data types into files for calculation and classification based on (i) laser diffraction particle size, (ii) sieve and laser particle size, (iii) mud sand gravel values and (iv) CaCO3 content</div><div>7. For each sample using the laser particle size distribution data, and Folk and Ward (1954) logarithmic graphical method calculate Mean particle size (Mz), Median particle size (d50), Standard Deviation, Kurtosis, Skewness, Clay%, Silt% and Sand%</div><div>9. Classify Clay Silt Sand texture, Classify Mean size Class (Wentworth)</div><div>10. Classify Sediment texture based on the relative proportions of Mud, Sand and Gravel</div><div>11. Classify Sediment composition based on the CaCO3%</div><div>12. For each sample using the combined sieve and laser particle size distribution data Calculate Mean particle size (Mz), Median particle size (d50), StDev, Kurtosis, Skewness, Clay%, Silt% and Sand%.</div><div>13. Merge all into a single file</div><div>14. Using the calculated statistics and classifications characterise the seabed using the Facies concept</div>
Reference System Information
- Reference system identifier
- EPSG/WGS 84 / geographic 2D (EPSG: 4326)
Metadata constraints
- Title
-
Australian Government Security Classification System
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
Metadata
- Metadata identifier
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urn:uuid/754acafa-04c6-4fd7-b8db-632173b72ade
- Title
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GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
- Contact
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Role Organisation / Individual Name Details Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Evans, N.
Internal Contact
Type of resource
- Resource scope
- Dataset
Alternative metadata reference
- Title
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Geoscience Australia - short identifier for metadata record with
uuid
- Citation identifier
- eCatId/147981
- Date info (Creation)
- 2023-11-27T05:33:31
- Date info (Revision)
- 2023-11-27T05:33:31
Metadata standard
- Title
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AU/NZS ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-3
- Title
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Geoscience Australia Community Metadata Profile of ISO 19115-1:2014
- Edition
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Version 2.0, September 2018
- Citation identifier
- http://pid.geoscience.gov.au/dataset/ga/122551