AndreaBozzo/ceres-open-data-index huggingface dataset:
Handbook of Geochronology Mineral Separation Laboratory Techniques

This handbook provides a summary of activities undertaken in the Geoscience Australia (GA) Geochronology Mineral Separation Laboratory, an in-house facility dedicated to the production of high quality mineral separates for isotopic analysis. 
Significant resources are expended acquiring isotopic geochronology data; money, time and effort are invested from the earliest stage of identifying a need to date a geological sample, followed by planning and sample collection, mineral separation processes, data acquisition, data processing, report writing and data management. The researcher and end-users need assurance that the best sample possible has been obtained and analysed. 
The chain of quality control required for good isotopic analysis begins with field sampling and continues with detailed attention to mineral separation and final sample preparation. Issues faced include finding fresh samples, minimisation of contamination risks, efficiencies in sample preparation and digital documentation of samples. Skimping on sampling and preparation can produce erroneous results just as surely as any systematic instrument problem, potentially leading to inaccurate reporting, low confidence in data quality and a loss of reputation for the laboratory, researchers and organisation. Therefore, it is essential that measures are taken through all stages of processing to ensure the sample remains contaminant free, labelling is correct and that data entered into information and archiving systems are accurate. 
Rock samples collected for geochronological analysis from outcrop, drill core or dredges can range in size from 100 grams to 30 kilograms. Variations in sample type, sample size and target minerals affect the approach to sample preparation. 
Minerals most frequently separated for isotopic analysis are zircon, monazite and potassium-rich rock forming minerals including K-feldspar and micas. Other minerals separated include titanite, rutile, apatite, xenotime, sulphides, tungstates and gold. 
Cleaning processes throughout the laboratory are very rigorous due to the risk of contamination between samples. The higher the level of sample concentration, the greater the risk of contamination; it only takes one grain from a previous sample separation to contaminate the next sample a grain that, if analysed, must be reported and explained in the interest of scientific transparency.

Tags: AU-ACT, Earth Sciences, GA Publication, Published_External, Record
Organization: Geoscience Australia Data
AUSGeoid98 v.1.0 data files: (sc54-14)

AUSGeoid98 data files contain a 2 minute grid of AUSGeoid98 data covering the Australian region, which you can use to interpolate geoid-ellipsoid separations for the positions required.You can use your own interpolation software, or you can use Geoscience Australia's Windows Interpolation software (Winter). The data files are text files in a standard format that cover the same area as standard topographic map areas. Files covering both 1:250,000 (approximately 100 x 150 km) and 1:1,000,000 (approximately 400 x 600 km) map areas are available. There is a 4 minute overlap on all sides of each area. Data format: AUSGeoid98 data files have a header record at the start of each file, to distinguish them from the superseded AUSGeoid93 data files. AUSGeoid98 data files show the geoid-ellipsoid separation to 3 decimal places, while the superseded AUSGeoid93 data files showed only 2 decimal places. AUSGeoid98 deflections of the vertical were computed from the geoid-ellipsoid separation surface, while the AUSGeoid93 deflections of the vertical were computed from OSU91A.

Tags: AU, AUSGeoid98, Geodesy, Geodetic Data, Published_External, dataset, geodesy
Organization: Geoscience Australia Data
Antarctic marine virus dataset

This dataset accompanies the paper 'Antarctic Marine Viruses: A Review and Future Perspectives' and compiles quantitative data on Antarctic marine viruses, including sampling locations, viral abundance, lytic viral production, carbon release by lysis, associated environmental factors and others. The primary aim of this dataset is to consolidate existing measurements on Antarctic marine viruses, facilitating future research on viral ecology, biogeochemical cycling, ecosystem dynamics, climate modelling in polar marine environments.

Organization: Australian Ocean Data Network
IMOS - Ships of Opportunity – Bioacoustics - Data from Sealord F.V. Janas in the Southern Ocean from the 21th of August 2009 to the 25th of August 2009.

This Bio Acoustic data was collected in August 2009 under the IMOS Ship of Opportunity (SOOP) Bio Acoustic (BA) program on Sealord F.V. Janas (IMOS platform code: ZMTW).
Departed:  Southern Ocean, August 21, 2009
Arrived:    Hobart, Australia, August 25, 2009
Bio acoustic signals allow understanding how mid-water prey species (known collectively as micronekton) such as small fish, squid, krill and jellyfish are distributed. 
Mid-water prey form the core of the ocean food web, transferring energy from primary producers at the ocean surface to top predators such as tunas, billfish, sharks, seals and seabirds.The mass and distribution of micronekton reflects broad-scale patterns in the structure and function of the ocean, as well as the dynamics of marine ecosystems. 
Acoustic mapping is done from fishing and scientific vessels that are equipped with scientifically-calibrated 38 kHz digital echo-sounders that record a slice of acoustic backscatter to a depth of 1500 meters.

Tags: Acoustic Equipment/Echo Sounders, Agriculture | Agricultural Aquatic Sciences | Fisheries, Coastal Cities / Towns (Australia) | Hobart, TAS, Countries | Australia, Global / Oceans | Southern Ocean, IMOS Platform | ZMTW | Janas, IMOS Sub-Facility | SOOP-BA | Bio-Acoustic, Micronekton, Ocean Biomass, Oceans | Marine Biology | Fish, Oceans | Ocean Acoustics | Acoustic Scattering, depth, latitude, longitude, mean_cell_depth_38kHz, mean_cell_height_38kHz, mean_volume_backscatter_coefficient, mean_volume_backscatter_including_bad_data_38kHz, percent_Sv_samples_included_38kHz, time
Organization: Australian Ocean Data Network
IMOS - Ships of Opportunity – Bioacoustics - Data from Sealord F.V. Rehua in the Tasman Sea from the 13th of August 2009 to the 16th of August 2009.

This Bio Acoustic data was collected in August 2009 under the IMOS Ship of Opportunity (SOOP) Bio Acoustic (BA) program on Sealord F.V. Rehua (IMOS platform code: ZMRE).
Departed:  Hobart, Australia, August 13, 2009
Arrived:     New Zealand, August 16, 2009
Bio acoustic signals allow understanding how mid-water prey species (known collectively as micronekton) such as small fish, squid, krill and jellyfish are distributed. 
Mid-water prey form the core of the ocean food web, transferring energy from primary producers at the ocean surface to top predators such as tunas, billfish, sharks, seals and seabirds.The mass and distribution of micronekton reflects broad-scale patterns in the structure and function of the ocean, as well as the dynamics of marine ecosystems. 
Acoustic mapping is done from fishing and scientific vessels that are equipped with scientifically-calibrated 38 kHz digital echo-sounders that record a slice of acoustic backscatter to a depth of 1500 meters.

Tags: Acoustic Equipment/Echo Sounders, Agriculture | Agricultural Aquatic Sciences | Fisheries, Coastal Cities / Towns (Australia) | Hobart, TAS, Countries | Australia, Countries | New Zealand, IMOS Platform | ZMRE | Rehua, IMOS Sub-Facility | SOOP-BA | Bio-Acoustic, Micronekton, Ocean Biomass, Oceans | Marine Biology | Fish, Oceans | Ocean Acoustics | Acoustic Scattering, Regional Seas | Tasman Sea, depth, latitude, longitude, mean_cell_depth_38kHz, mean_cell_height_38kHz, mean_volume_backscatter_coefficient, mean_volume_backscatter_including_bad_data_38kHz, percent_Sv_samples_included_38kHz, time
Organization: Australian Ocean Data Network
NSW DMR, Discovery 2000, 1994-95, AREA F, Brewarrina (P736), elevation line data

The Digital Elevation Model represents ground surface topography between points of known elevation. The elevation data was calculated using the altimeters and Global Positioning System (GPS) sensor used for the benefit of airborne magnetic and radiometric data on the same survey. The elevation is the height relative to the Australian Height Datum GDA94 (AUSGEOID09). The processed elevation 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 NSW DMR, Discovery 2000, 1994-95, AREA F, Brewarrina survey were acquired in 1995 by the NSW Government, and consisted of 51199 line-kilometres of data at 250m line spacing and 60m terrain clearance.

Tags: Australia, DEM, EARTH SCIENCES, Earth sciences, Elevation, GADDS2.0, NSW, Published_External, airborne digital data, geophysical survey, geophysics, line, survey 736, terrain, vector
Organization: Geoscience Australia Data
IMOS - Ships of Opportunity – Bioacoustics - Data from Australian Wild Tuna's Santo Rocco in the Pacific Ocean from the 1st of May 2012 to the 3rd of May 2012.

This Bio Acoustic data was collected in May 2012 under the IMOS Ship of Opportunity (SOOP) Bio Acoustic (BA) program on Australian Wild Tuna's Santo Rocca (IMOS platform code: LFB13191P).
Departed:  Australia, May 01, 2012
Arrived:     Australia, May 03, 2012
Bio acoustic signals allow understanding how mid-water prey species (known collectively as micronekton) such as small fish, squid, krill and jellyfish are distributed. 
Mid-water prey form the core of the ocean food web, transferring energy from primary producers at the ocean surface to top predators such as tunas, billfish, sharks, seals and seabirds.The mass and distribution of micronekton reflects broad-scale patterns in the structure and function of the ocean, as well as the dynamics of marine ecosystems. 
Acoustic mapping is done from fishing and scientific vessels that are equipped with scientifically-calibrated 38 kHz digital echo-sounders that record a slice of acoustic backscatter to a depth of 1500 meters.

Tags: Acoustic Equipment/Echo Sounders, Agriculture | Agricultural Aquatic Sciences | Fisheries, Countries | Australia, IMOS Platform | LFB13191P | Santo Rocco, IMOS Sub-Facility | SOOP-BA | Bio-Acoustic, Micronekton, Ocean Biomass, Oceans | Marine Biology | Fish, Oceans | Ocean Acoustics | Acoustic Scattering, Regional Seas | Coral Sea, States, Territories (Australia) | New South Wales, depth, latitude, longitude, mean_cell_depth_38kHz, mean_cell_height_38kHz, mean_volume_backscatter_coefficient, mean_volume_backscatter_including_bad_data_38kHz, percent_Sv_samples_included_38kHz, time
Organization: Australian Ocean Data Network
IMOS - Ships of Opportunity – Bioacoustics - Data from Sealord F.V. Rehua in the Tasman Sea from the 11th of June 2010 to the 15th of June 2010.

This Bio Acoustic data was collected in June 2010 under the IMOS Ship of Opportunity (SOOP) Bio Acoustic (BA) program on Sealord F.V. Rehua (IMOS platform code: ZMRE).
Departed:  New Zealand, June 11, 2010
Arrived:     Australia, June 15, 2010
Bio acoustic signals allow understanding how mid-water prey species (known collectively as micronekton) such as small fish, squid, krill and jellyfish are distributed. 
Mid-water prey form the core of the ocean food web, transferring energy from primary producers at the ocean surface to top predators such as tunas, billfish, sharks, seals and seabirds.The mass and distribution of micronekton reflects broad-scale patterns in the structure and function of the ocean, as well as the dynamics of marine ecosystems. 
Acoustic mapping is done from fishing and scientific vessels that are equipped with scientifically-calibrated 38 kHz digital echo-sounders that record a slice of acoustic backscatter to a depth of 1500 meters.

Tags: Acoustic Equipment/Echo Sounders, Agriculture | Agricultural Aquatic Sciences | Fisheries, Countries | Australia, Countries | New Zealand, IMOS Platform | ZMRE | Rehua, IMOS Sub-Facility | SOOP-BA | Bio-Acoustic, Micronekton, Ocean Biomass, Oceans | Marine Biology | Fish, Oceans | Ocean Acoustics | Acoustic Scattering, Regional Seas | Tasman Sea, depth, latitude, longitude, mean_cell_depth_38kHz, mean_cell_height_38kHz, mean_volume_backscatter_coefficient, mean_volume_backscatter_including_bad_data_38kHz, percent_Sv_samples_included_38kHz, time
Organization: Australian Ocean Data Network
IMOS - Ships of Opportunity – Bioacoustics - Data from RV Southern Surveyor in the Tasman Sea from the 7th of June 2011 to the 14th of June 2011

This Bio Acoustic data was collected in June 2011 under the IMOS Ship of Opportunity (SOOP) Bio Acoustic (BA) program on RV Southern Surveyor (IMOS platform code: VLHJ).
Departed:  Auckland, New Zealand, June 7, 2011
Arrived:    Hobart, Australia, June 14, 2011
Bio acoustic signals allow understanding how mid-water prey species (known collectively as micronekton) such as small fish, squid, krill and jellyfish are distributed. 
Mid-water prey form the core of the ocean food web, transferring energy from primary producers at the ocean surface to top predators such as tunas, billfish, sharks, seals and seabirds.The mass and distribution of micronekton reflects broad-scale patterns in the structure and function of the ocean, as well as the dynamics of marine ecosystems. 
Acoustic mapping is done from fishing and scientific vessels that are equipped with scientifically-calibrated 38 kHz digital echo-sounders that record a slice of acoustic backscatter to a depth of 1500 meters.

Tags: Acoustic Equipment/Echo Sounders, Agriculture | Agricultural Aquatic Sciences | Fisheries, Coastal Cities / Towns (Australia) | Hobart, TAS, Countries | Australia, Countries | New Zealand, IMOS Platform | VLHJ | Southern Surveyor, IMOS Sub-Facility | SOOP-BA | Bio-Acoustic, Micronekton, Ocean Biomass, Oceans | Marine Biology | Fish, Oceans | Ocean Acoustics | Acoustic Scattering, Regional Seas | Tasman Sea, depth, latitude, longitude, mean_cell_depth_38kHz, mean_cell_height_38kHz, mean_volume_backscatter_coefficient, mean_volume_backscatter_including_bad_data_38kHz, percent_Sv_samples_included_38kHz, time
Organization: Australian Ocean Data Network
Eagles Nest Catchment 1:7,500 vegetation map CRC LEME

The Eagles Nest Catchment 1:7,500 vegetation map illustrates the distribution of vegetation with respect to regolith materials and the landforms on which they occur, described using the RTMAP scheme developed by Geoscience Australia

Tags: AU-NSW, Geological Map, Geology, Non-standard scale, Published_External, vegetation
Organization: Geoscience Australia Data
Quorrobolong Scribbly Gum Woodland. VIS_ID 4084

Unknown provenance. A search of data and literature has not revealed the source of this layer. The files dates are from 2003 so the data is at least this old. The community is listed as a Threatened Ecological Community (TEC).
VIS_ID 4084

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
IMOS - Ships of Opportunity – Bioacoustics - Data from Austral Fisheries FV Austral Leader II in the Indian Ocean from the 4th of September 2011 to the 11th of September 2011.

This Bio Acoustic data was collected in September 2011 under the IMOS Ship of Opportunity (SOOP) Bio Acoustic (BA) program on Austral Fisheries FV Austral Leader II (IMOS platform code: VHLU).
Departed:  Australia, September 4, 2011
Arrived:     Australia, September 11, 2011
Bio acoustic signals allow understanding how mid-water prey species (known collectively as micronekton) such as small fish, squid, krill and jellyfish are distributed. 
Mid-water prey form the core of the ocean food web, transferring energy from primary producers at the ocean surface to top predators such as tunas, billfish, sharks, seals and seabirds.The mass and distribution of micronekton reflects broad-scale patterns in the structure and function of the ocean, as well as the dynamics of marine ecosystems. 
Acoustic mapping is done from fishing and scientific vessels that are equipped with scientifically-calibrated 38 kHz digital echo-sounders that record a slice of acoustic backscatter to a depth of 1500 meters.

Tags: Acoustic Equipment/Echo sounders, Agriculture | Agricultural Aquatic Sciences | Fisheries, Countries | Australia, Global / Oceans | Indian Ocean, IMOS Platform | VHLU | Austral Leader II, IMOS Sub-Facility | SOOP-BA | Bio-Acoustic, Micronekton, Ocean Biomass, Oceans | Marine Biology | Fish, Oceans | Ocean Acoustics | Acoustic Scattering, depth, latitude, longitude, mean_cell_depth_38kHz, mean_cell_height_38kHz, mean_volume_backscatter_coefficient, mean_volume_backscatter_including_bad_data_38kHz, percent_Sv_samples_included_38kHz, time
Organization: Australian Ocean Data Network
AUSGeoid98 v.1.0 data files:  (sj57-02)

AUSGeoid98 data files contain a 2 minute grid of AUSGeoid98 data covering the Australian region, which you can use to interpolate geoid-ellipsoid separations for the positions required.You can use your own interpolation software, or you can use Geoscience Australia's Windows Interpolation software (Winter). The data files are text files in a standard format that cover the same area as standard topographic map areas. Files covering both 1:250,000 (approximately 100 x 150 km) and 1:1,000,000 (approximately 400 x 600 km) map areas are available. There is a 4 minute overlap on all sides of each area. Data format: AUSGeoid98 data files have a header record at the start of each file, to distinguish them from the superseded AUSGeoid93 data files. AUSGeoid98 data files show the geoid-ellipsoid separation to 3 decimal places, while the superseded AUSGeoid93 data files showed only 2 decimal places. AUSGeoid98 deflections of the vertical were computed from the geoid-ellipsoid separation surface, while the AUSGeoid93 deflections of the vertical were computed from OSU91A.

Tags: AU, AUSGeoid98, Geodesy, Geodetic Data, Published_External, dataset, geodesy
Organization: Geoscience Australia Data
From Offshore to Onshore probabilistic tsunami hazard assessment with quantified uncertainty efficient Monte Carlo techniques.

Offshore probabilistic tsunami hazard assessments (PTHAs) are increasingly available for earthquake generated tsunamis. They provide standardized representations of tsunami scenarios, their uncertain occurrence-rates, and models of the deep ocean waveforms. To quantify onshore hazards it is natural to combine this information with a site-specific inundation model, but this is computationally challenging to do accurately, especially if accounting for uncertainties in the offshore PTHA. This study reviews an efficient Monte Carlo method recently proposed to solve this problem. The efficiency comes from preferential sampling of scenarios that are likely important near the site of interest, using a user-defined importance measure derived from the offshore PTHA. The theory of importance sampling enables this to be done without biasing the final results. Techniques are presented to help design and test Monte Carlo schemes for a site of interest (before inundation modelling) and to quantify errors in the final results (after inundation modelling). The methods are illustrated with examples from studies in Tongatapu and Western Australia.
Abstract submitted/presented to the International Conference on Coastal Engineering (ICCE) 2022 - Sydney (https://icce2022.com/).
Citation:
Davies, G. (2023). FROM OFFSHORE TO ONSHORE PROBABILISTIC TSUNAMI HAZARD ASSESSMENT WITH QUANTIFIED UNCERTAINTY: EFFICIENT MONTE CARLO TECHNIQUES. Coastal Engineering Proceedings, (37), papers.18. https://doi.org/10.9753/icce.v37.papers.18

Tags: Earth system sciences, Probabilistic Tsunami Hazard Assessment, Published_External, hazards, statistics, tsunami
Organization: Geoscience Australia Data
Flood vulnerability research at Geoscience Australia

Australia has experienced devastating floods in recent years which have resulted in significant financial loss and disruption to communities. Even though flood events have regularly impacted Australian communities comparatively few research initiatives have been taken in Australia to address the flood vulnerability of buildings and to develop cost-effective mitigation strategies. 
Estimation of flood losses is considered to be a crucial component of flood mitigation decisions that are increasingly being made on the basis of cost-benefit analyses. Geoscience Australia (GA) has developed flood loss models based on the observations from the 2011 Queensland floods as a fundamental contribution towards flood management. The aim was to improve and augment existing loss models for residential, commercial and industrial buildings. Further, a dataset of flood losses collected through field and postal surveys was then utilised to validate the developed models.
Building on research to date, GA now leads the Cost-Effective Mitigation Strategy Development for Flood Prone Buildings Project within the new Bushfire and Natural Hazards Cooperative Research Centre (BNHCRC). The overall aim of this research project is to develop an evidence base to inform decision making on risk mitigation for flood prone buildings. The work will focus on benefit versus cost analysis for key mitigation options at the building level. 
This paper provides an overview of the GA's work on flood vulnerability and describes the future research activities of the BNHCRC project and anticipated outputs.
References:

Maqsood, S.T., Senthilvasan, M., Corby, N., Wehner, M. and Edwards, M. (2013). Improved assessment of flood impact: an urban storm water case study of a City of Sydney catchment. Proc. Floodplain Management Association National Conference, Tweed Heads, Australia
Wehner, M., Maqsood, S.T., Corby, N., Edwards, M. and Middelmann-Fernandes, M. (2012). Augmented vulnerability models for inundation. Technical report. GA Record No. 74107. Geoscience Australia, Canberra, Australia


Tags: Abstract, Earth Sciences, External Publication, Published_External
Organization: Geoscience Australia Data
The Search for Flight MH370 – Phase 2 5 m resolution sonar images for data visualisation

On behalf of Australia, and in support of the Malaysian accident investigation, the Australian Transport Safety Bureau (ATSB) led search operations for missing Malaysian Airlines flight MH370 in the Southern Indian Ocean. Geoscience Australia provided advice, expertise and support to the ATSB to facilitate marine surveys, which were undertaken to provide a detailed map of the sea floor topography and to aid navigation during the underwater search. 
This dataset comprises Side Scan Sonar (SSS), Synthetic Aperture Sonar (SAS) and multibeam sonar backscatter data at 5 m resolution. Data was collected during Phase 2 marine surveys conducted by the Governments of Australia, Malaysia and the People’s Republic of China between September 2014 to January 2017. The data was acquired by Echo Surveyor 7 (Kongsberg AUV Hugin 1000), Edgetech 2400 Deep Tow and SLH PS-60 Synthetic Aperture Sonar Deep Tow deployed from the following vessels: Fugro Supporter, Fugro Equator, Fugro Discovery, Havila Harmony, Dong Hai Jiu 101 and Go Phoenix.
All material and data from this access point is subject to copyright. Please note the creative commons copyright notice and relating to the re-use of this material. Geoscience Australia's preference is that you attribute the datasets (and any material sourced from it) using the following wording: Source: Governments of Australia, Malaysia and the People's Republic of China, 2018. MH370 Phase 2 data.
We honour the memory of those who have lost their lives and acknowledge the enormous loss felt by their loved ones.

Tags: MH370, Published_External, backscatter, marine, sidescan sonar
Organization: Geoscience Australia Data