AndreaBozzo/ceres-open-data-index huggingface dataset:
2004 Indian Ocean tsunami explanatory animations and illustrations

A selection of images and short animations explaining key aspects of the 2004 Indian Ocean/ Sumatra tsunami, revised and issued for release to the media and other interested organisations on the tenth anniversary of the disaster.
This selection updates existing resources previously released by Geoscience Australia.

You can also purchase hard copies of Geoscience Australia data and other products at http://www.ga.gov.au/products-services/how-to-order-products/sales-centre.html

Tags: Movie, Multimedia, Natural Hazards, geohazards, marine, tsunamis
Organization: Geoscience Australia
2001-02 to 2007-08 Local Government Survey (Victoria)

    

Sustainability Victoria surveys all Victorian local councils about their waste
and recycling services each financial year. Collection of this data enables
the performance of the cost and yield of municipal kerbside services to be
evaluated over time.

Copyright Statement A(c) Sustainabilty Victoria 2010 To the extent the
material is protected by copyright it is licensed on the applicable terms



Organization: Sustainability Victoria
Beetaloo seismic update


## **Abstract** 
The dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. Seismic interpretation including a review of the interpretation of five horizons and the fault network, Beetaloo Sub-Basin.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
All the available geological and geophysical data over the Beetaloo sub-basin were loaded into a Petrel project and interpreted focussing on the interpretation of the shallow regions as well as some deeper horizons. Horizons and faults were interpreted including with fault polygons, for five horizons, creating TWT structure surfaces which were depth converted using the velocity model based on checkshot derived interval velocities tied to wells. The study focused on the faulting present in the shallow section, from above the Velkerri Formation to define the fault network for the shallow section of the Beelaloo Sub-basin.

Tags: Beetaloo sub-basin, Geophysical interpretation
Organization: Bioregional Assessment Program
Hydrogeochemistry and environmental tracer composition of a sub-set of perennial Cooper Creek waterholes


## **Abstract** 
This dataset was compiled by the Geological and Bioregional Assessment Program from field data referenced within the dataset and/or metadata. The dataset contains laboratory analyses of chemistry and environmental tracers on surface water samples collected from a subset of perennial waterholes along Cooper Creek during two targeted field sampling campaigns. The processes undertaken to produce the dataset are described in the 'History' field of this metadata statement.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
This dataset contains laboratory analyses of chemistry and environmental tracers on surface water samples collected from a subset of perennial waterholes along Cooper Creek during two targeted field sampling campaigns. Specific perennial waterholes targeted for water sampling were identified using a combination of spatial data (specifically the COO_Lakes_WH_WFS.shp dataset) to obtain accurate locations of perennial waterholes and cadastre data for both QLD and SA to identify the property associated with each waterhole. The sub-set of perennial waterholes sampled in this dataset were the waterholes that the GBA Program negotiated permission to access for sampling. Water samples were collected using a custom submersible electric pump and following strict sampling protocols using specialised sampling vessels depending on each sample type. The chemistry data includes general field and laboratory chemistry (i.e. pH, EC, alkalinity) as well as major and minor ions analysed using a combination of ion chromatography, inductively coupled plasma - optical emission spectrometry (ICP-OES) and inductively coupled plasma mass spectrometry (ICP-MS). Environmental tracer data contained in this dataset includes 222Rn, 2H, 18O, 87Sr/86Sr, He, Ne, Ar, Kr and Xe which were analysed using a range of specialised analytical equipment at a variety of laboratories.

Tags: SURFACEWATER Waterholes, WATER Quality, hydrogeology
Organization: Bioregional Assessment Program
Maturity maps for the Kyalla Formation and Amungee Member, Beetaloo Sub-basin


## **Abstract** 
The dataset was derived by the Geological and Bioregional Assessment Program from multiple source datasets. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. 1D petroleum systems modelling was conducted for 18 wells across the Beetaloo Sub-basin and used to constrain the likely distribution of the oil, wet gas and dry gas windows for the Amungee Member of the Velkerri Formation and Kyalla formations, across the extent of the Beetaloo Sub-basin. Modelling was conducted using the Zetaware Inc. Genesis (version 5.6x) software.  


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
The input datasets and technical work flow used to generate these products are described in:

Hall LS, Wang L, Bailey A, Orr M, Owens R, Lech M, Skeers N and Woods M (2020) Petroleum prospectivity for the Beetaloo Sub-basin. Technical appendix for the Geological and Bioregional Assessment Program: Stage 2. Department of the Environment and Energy, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia.

Tags: Beetaloo sub-basin, GEOSCIENCES Geology, PETROLEUM
Organization: Bioregional Assessment Program
Isa_AOI_AOP


## **Abstract** 
 Shapefile created to show the Area of Interest (AOI) and Area of Potential (AOP) for shale gas assessment in the Isa Superbasin


## **Attribution** 
(c) Commonwealth of Australia (Geoscience Australia) 2012


## **History** 
Area of Interest (AOI) and Area of Potential (AOP) for shale gas assessment in the Isa Superbasin

Organization: Bioregional Assessment Program
Dynamic Land Cover Dataset

## **Abstract** 

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. 



The Dynamic Land Cover Dataset of Australia is the first nationally consistent and thematically comprehensive land cover reference for Australia.  It is the result of a collaboration between Geoscience Australia and the Australian Bureau of Agriculture and Resource Economics and Sciences, and provides a base-line for identifying and reporting on change and trends in vegetation cover and extent. Land cover is the observed biophysical cover on the Earth&#xBF;s surface, including native vegetation, soils, exposed rocks and water bodies as well as anthropogenic elements such as plantations, crops and built environments.  Remote sensing data recorded over a period of time allows the observation of land cover dynamics.  Different land cover types display distinct responses due to seasonal, climatic and anthropogenic drivers.  Classifying these responses provides a robust and repeatable way of characterising land cover types.  A key aspect of land cover is vegetation greenness. The greenness of vegetation is directly related to the amount of photosynthesis occurring, and can be measured as an index such as the Enhanced Vegetation Index (EVI). The Dynamic Land Cover Dataset presents land cover information for every 250m by 250m area of the country from April 2000 to April 2008. The classification scheme used to describe land cover categories in the Dynamic Land Cover Dataset conforms to the 2007 International Standards Organisation (ISO) land cover standard (19144-2).  The Dynamic Land Cover Dataset shows Australian land covers clustered into 34 ISO classes. These reflect the structural character of vegetation, ranging from cultivated and managed land covers (crops and pastures) to natural land covers such as closed forest and sparse, open grasslands.

## **Dataset History** 

The source data for the Dynamic Land Cover Dataset is a time series of Enhanced Vegetation Index (EVI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua satellites operated by NASA. The time series includes 186 snapshots of vegetation greenness for each 250m by 250m area across the continent over an 8 year period from 2000 to 2008. Complete information on the creation of this product can be found in the following documents available from the Geoscience Australia website www.ga.gov.au/landcover.

## **Dataset Citation** 

Geoscience Australia (2010) Dynamic Land Cover Dataset. Bioregional Assessment Source Dataset. Viewed 27 September 2017, http://data.bioregionalassessments.gov.au/dataset/1556b944-731c-4b7f-a03e-14577c7e68db.

Tags: Australia, Cooper subregion, LAND-Cover, Maranoa-Balonne-Condamine subregion, biota, environment, planningCadastre
Organization: Bioregional Assessment Program
Tier I chemical risk assessment


## **Abstract** 
This dataset was derived by the Geological and Bioregional Assessment Program from the chemical properties and ecotoxicity database source dataset. This dataset reports the Tier1 Screening level chemical risk assessment of chemicals used for drilling and hydraulic fracturing in the Cooper, Isa and Beetaloo GBA regions.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
Chemical data was screened through a decision matrix to classify it as either “low concern”, “potential concern” or “potentially high concern” based on persistence, bioaccumulation and toxicity properties. The decision matrix is defined for each screening level on the corresponding sheet.

Tags: Environmental resources protection and conservation, energy water and waste systems, environmental resources
Organization: Bioregional Assessment Program
Groundwater hydrochemistry points for Piper Plot generation


## **Abstract** 
Spatial datasets containing groundwater hydrochemistry points with attribution for the generation of maps and piper plots for the Cooper GBA Region reports.  This dataset contains hydrochemistry data for the artesian GAB aquifers, the Rolling Downs aquitard, the Winton-Mackunda partial aquifer and the Cenozoic aquifers in the Cooper GBA region.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
Generated by Geoscience Australia in ESRI ArcGIS for mapping and plotting uses in the Cooper GBA Reports.  This dataset contains hydrochemisrty data for the artesian GAB aquifers, the Rolling Downs aquitard, the Winton-Mackunda partial aquifer and the Cenozoic aquifers in the Cooper GBA region.

Tags: hydrogeology
Organization: Bioregional Assessment Program
Remote sensing images - regolith ratios and barest earth


## **Abstract** 
The dataset was compiled by the Geological and Bioregional Assessment Program from multiple sources referenced within the dataset and/or metadata. The processes undertaken to compile this dataset are described in the History field in this metadata statement. This dataset contains raster datasets derived from Geoscience Australia's Barest Earth product. Outputs contained are Gozzard Ratio, Iron/Clay ratio, Sultans Formula and DPCA products.  These products provide users with information regarding the makeup of outcropping geology and regolith in the Beetaloo GBA region.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
Raster analysis was carried out in ESRI's ArcGIS software.  Gozzard ratio, developed by Tapley and Gozzard, has been applied to the parent dataset and is used to provide finer subdivision in areas where iron and clay are important components of the regolith.  Iron Clay ratio was applied to the parent dataset and is used to differentiate between different types of iron and clay.  The Sultan's formula was applied to the parent dataset and is used to highlight ultramafic rocks in arid terrain (Sultan et al., 1987), and is broadly applicable to mapping geological features.  DPCA is the Directed Principle Components Analysis has been applied to the parent dataset.  The DPCA formula applied was developed by Fraser and Green.

Tags: REMOTE SENSING Spectroradiometer
Organization: Bioregional Assessment Program
Location of bores and production wells from which groundwater samples were taken - Cooper GBA region


## **Abstract** 
Groundwater sample were obtained from the Cooper Basin, Eromanga Basin and Lake Eyre Basin as part of Stage 3 of the Cooper GBA project. The Eromanga Basin is a part of the Great Artesian Basin. Evans et al. (2020) and Holland et al. (2020) provide detail on hydrogeology of the Cooper GBA region.  In total 39 samples were collected from a range of hydrogeological settings in two field campaigns. One field campaign focussed on obtaining groundwater samples from bores drawing groundwater from Eromanga Basin and overlying Lake Eyre Basin (LBWCo (2020), Dataset 1). Reservoir water samples were collected by petroleum companies on behalf of the GBA program (Dataset 2). Where possible the samples were clustered to provide hydrochemical information at various depths. The locations of Bore that were sampled are outlined in Figure 3.  The sample dataset (Dataset 3, and Dataset 4) is comprised of: – Sixteen from shallow sub-artesian aquifers either the Winton Formation or the Cenozoic Lake Eyre Basin (bores less than 100 m deep). – Thirteen deep GAB bores (sample depths from 1100 to 2070 m). – Ten samples from petroleum wells producing from deep hydrocarbon reservoirs in the Cooper and Eromanga basins.  Hydrochemical analyses include: field parameters, major and minor ions, hydrocarbons, as well as environmental groundwater tracers. Environmental groundwater tracers include; Strontium isotopes, noble gases including 4He, stable isotopes of water, stable isotopes of hydrogen and carbon from methane, chlorofluorocarbons (CFC’s), as well as radioactive tracers - tritium (3H),  Carbon 14 (14C) and Chloride 36 (36Cl).  Further infromation can be found in factsheet 10 available from https://www.bioregionalassessments.gov.au/gba.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
Sampling of aquifers in Eromanga Basin (GAB) and Lake Eyre Basin (Cenozoic) was undertaken by a contractor (LBWCO Pty Ltd) in October 2020. CSIRO sampled 6 GAB bores in November 2019. Samples from production wells were collected by companies on behalf of GBA.  Locations were determined using GPS at time of sampling.

Tags: Hydrogeology
Organization: Bioregional Assessment Program
Cooper Region maximum prospectivity for shale gas, deep coal or tight gas


## **Abstract** 
This dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. The dataset is the grid defining the maximum prospectivity of the three unconventional gas plays in the Cooper region; shale gas, tight gas and deep coal and saved as a GeoTiff for use in the assessment of impact analysis.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
Prospectivity confidence grids for shale gas, tight gas and deep coal are overlain and for each pixel the maximum value of prospectivity is chosen from these three grids. The resulting grid is projected on a regular 500m grid in EPSG:3577 and saved as a GeoTiff to be consistent with the grid template for impact analysis.

Tags: Geology, Unconventional gas
Organization: Bioregional Assessment Program
Gridded area of development and non-development related disturbances


## **Abstract** 
The dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. This dataset shows the percentage of 25 ha pixels impacted by development and non-development related disturbances. All disturbance layers were processed using a priority layering system to prevent double accounting.


## **Attribution** 
Geological and Bioregional Assessment Program


## **History** 
Cooper: 
–   Seismic disturbance includes both 2D and 3D surveys.						
–   All seismic lines older than 8 years were assumed to have recovered, except for those in the Gibber geomorphology (sedimentary hills and ranges landscape class).						
–   Other development related disturbance includes borrow pits, roads, pipelines and well pads. 
–   Non-development related disturbance includes aircraft facilities, bores, buildings, homesteads, mines, wells, recreation areas, reservoirs, heritage sites, storage and water tanks, vertical obstructions (e.g. towers and aerials),  wind pumps and stockyards.					
–   All disturbance layers were processed using a priority layering system to prevent double accounting. Non-development related disturbances were assigned the highest level of priority, on the assumption that these features would exist in the absence of development activity. Other development related disturbances were assigned the next level of priority, followed by seismic survey disturbance.			

Beetaloo:
–   Development related disturbance includes roads, rails and pipelines buffered to a total width of 10 m, and scar lines (e.g. seismic surveys) buffered to a total of 5 m.					
–   Non-development related disturbance includes fencelines and stockroutes buffered to a total width of 10 m, in addition to the features present in the 'Beetaloo GBA region non-development disturbance dataset', https://data.gov.au/data/dataset/6b4c7c0d-5bb9-4c2a-98b8-e44803fe38a2.

Tags: ECOLOGY Disturbance, IMPACT ANALYSIS
Organization: Bioregional Assessment Program
Spatially explicit current and future threats to seagrass habitats in Australia

This mapped dataset is a compilation of spatially explicit, nation-wide threats to seagrass based on current pressures and projected future climate change pressures. In addition, the value of this mapped dataset can potentially extend to assess threats to other coastal habitats. Current threats in this mapped dataset include urban/agricultural runoff, industrial pollution, sediment resuspension, port infrastructure and dredging, shipping accidents, oil and gas accidents. Future threats in this mapped dataset include modelled increase in sea surface temperature for 2070, modelled increase in total annual rainfall for 2070 and modelled increase in sea level rise for 2070. All threats in this mapped dataset are given as a single ArcGIS polygon shapefile composed of 10 x 10 km coastal grid cells.

Tags: Australia, BOUNDARIES-Biophysical, ECOLOGY-Habitat, ECOLOGY-Landscape, INDUSTRY, MARINE-Coasts, MARINE-Estuaries, New South Wales, Northern Territory, POLLUTION-Water, Queensland, South Australia, Tasmania, Victoria, Western Australia
Organization: Department of Water, Government of Western Australia
Murray-Darling Basin Tree Stand Condition Assessment Tool

The stand condition of river red gums, black box and coolibah have been identified as objectives to measure the progress towards achieving outcomes of the Murray-Darling Basin Plan. The Murray-Darling Basin Authority (MDBA) commissioned a spatial stand condition assessment tool of these trees in 2014. The tool defined the extent of these communities by using a predictive model based on existing vegetation mapping and an analysis of satellite images. 
The assessment tool involves a combination of quantitative ground surveys, remote sensing and modelling using machine learning. The ground surveys record the percentage of live leaf area, plant area index and crown extent. These parameters have been identified as being reliable and objective indicators of stand condition in floodplain forests.

The assessment tool was backdated to 2009, and then updated every year up to 2016 using Landsat 8 imagery. The assessment was not completed for 2011 and 2013 due to corrupt Landsat 7 imagery and flooding preventing completion of fieldwork.

The MDBA has made the assessment tool related resources publicly available as part of its commitment to the Australian Government policy on public data and information. Due to the large file size, the following files are not uploaded to www.data.gov.au but are available on request from gis@mdba.gov.au. 

   •	Stand Condition Assessment tool - Stand Condition Assessment tool software (.exe; 299MB)

   •	Input Data - six epochs of 2009, 2010, 2012-2016 and Landsat time composite images (floating point raster image)

   •	 Output data - Stand condition time series shapefiles (six epochs between 2009-2016) for red gum, black box and coolibah (geodatabase of shape files; 990MB)

   •	Output data - four bands Landsat stand condition output image with bands one to four contains crown extent, plant area index, live basal area and condition score respectively (floating point raster image; 331GB – approximately 50GB per epoch).

The Terms and conditions for using the data and related resources from this website can be found at https://www.data.gov.au/about.

Tags: Aquatic Ecosystem Studies and Stock Assessment, Basin Analysis, Basin Plan evaluation, Behavioural Ecology, Biological Adaptation, Biota, Conservation and Biodiversity, Environment, Environmental Impact Assessment, Environmental Management, Environmental Monitoring, Freshwater Ecology, Imagery base maps and Earth cover, Murray-Darling Basin, Plant Biology not elsewhere classified, Simulation and Modelling, Terrestrial Ecology, Tree Nutrition and Physiology, Tree condition assessment, Tree stand condition, black box, coolibah, ecological health, flood plain and riverine forests, floodplain vegetation, native vegetation, river red gums, vegetation mapping
Organization: Murray-Darling Basin Authority
Youth Justice Detention Data

The publication [Youth detention population in Australia 2016](http://www.aihw.gov.au/publication-detail/?id=60129557387) can be found on the AIHW Website. 

The report presents information on the youth detention population in Australia, focusing on quarterly trends from June 2012 to June 2016. On an average night in the June quarter 2016, there were just over 900 young people in detention, over half of whom were unsentenced. Numbers and rates of young people in detention dropped slightly over the four years; however, this trend varied between different states and territories. Around half of all young people in detention on an average night were Indigenous. 

The data set provided on data.gov.au contains data on young people in detention from June 2008 to June 2016. Some data may differ to the results published in Youth detention population in Australia 2016 due to data revisions.

Tags: detention, justice, youth, youth justice
Organization: Australian Institute of Health and Welfare
Street cleaning in City of Yarra

Our aim is to make Yarra a clean and pleasant place for our residents to live. This data asset has information about sweeping and loose litter removal across residential roads, kerbs and public open spaces within the Yarra municipality. The street cleansing details include cleaning date and time, suburb where the cleaning was done, category of cleaning, volume of litter removed and cleaning duration.

While all due care has been taken to ensure the data asset is accurate and current, Yarra City Council does not warrant that this data is definitive nor free of error and does not accept responsibility for any loss, damage, claim, expense, cost or liability whatsoever arising from reliance upon information provided herein.

Feedback on the data asset - including compliments, complaints and requests for more detail - is welcome.

Tags: opencouncildata, street cleaning
Organization: City of Yarra