AndreaBozzo/ceres-open-data-index huggingface dataset:
Cliff Instability Areas (ASCCIE) - 2070 - 0.5m SLR

The ASCCIE_2070_05mSLR dataset is a digital dataset consisting of multiple spatial layer outputs from modelled erosion scenarios. The dataset is recommended for use at the statewide / regional scale along the Victorian coastline. Application of the data should be guided by the accompanying Victorian Coastal Cliff Assessment technical reports and expert advice. The product is not suitable for individual property scale assessments. Further information is contained in the study report "Victorian Coastal Cliff Assessment", Tonkin and Taylor, Sep 2023.
Consolidated shorelines, which include soil and rock cliffs, are not able to rebuild following periods of
erosion but rather are subject to a one-way process of degradation. ASCCIEs typically have two components:
• Toe Erosion
A gradual retreat of the cliff toe caused by weathering, marine and bio-erosion processes. This
retreat will be affected by global process such as sea level rise and potentially increased soil
moisture. Future cliff toe position based on historical erosion rates with a factor applied to
allow for the effect of future sea level rise.
• Cliff Instability
Episodic instability events are predominately due to a change in loading or material properties
of the cliff or yielding along a geological structure. In soft cliffs, instability causes the cliff slope
to flatten to a slope under which it is “stable” (geo-mechanically). Soil cliff slope instabilities
are influenced by processes that erode and destabilise the cliff toe, including marine
processes, weathering and biological erosion or change the stress within the cliff slope. Most
of the hard cliffs are stable at very steep angles. Instability events may range from small-scale
instabilities (block or rock falls) or discontinuities, to cliff slope instability cause by large-scale
and deep-seated mass movement. The latter mode of failure in hard cliffs is rare.

Tags: environment, oceans
Organization: Department of Energy, Environment and Climate Action
VMIA Master insurance policy wordings

The VMIA provides insurance policies to the Victorian Government departments, statutory authorities and agencies and public health system including hospitals funded health sector agencies and community health centres covering aviation, business travel, construction risks, directors and officers liability, emergency resource providers support scheme, fine art exhibition risks, industrial special risks (property), journey, marine, medical indemnity, motor vehicle, personal accident, professional indemnity and public and products liability. Previous years policies published separately.

Tags: Annual Reports, Master Insurance, Policy Wordings, VMIA, Victorian Managed Insurance Authority
Organization: Victorian Managed Insurance Authority
Cliff Face Landslip Areas (ASTaR) - Present day - 0.0m SLR

The ASTaR_Present_day_00mSLR dataset is a digital dataset consisting of multiple spatial layer outputs from modelled erosion scenarios.The dataset is recommended for use at the statewide / regional scale along the Victorian coastline. Application of the data should be guided by the accompanying Victorian Coastal Cliff Assessment technical reports (Tonkin &amp; Taylor 2023) and expert advice. The product is not suitable for individual property scale assessments.  
ASTaR have been derived based on the geological unit type and cliff height. The methodology for defining ASTaR is
a new method undertaken at a high level and based on the existing cliff height and a defined slope
to identify the possible seaward extent of talus runout. For this state-wide/regional scale assessment, single values were derived for each component. This ‘building-block’ approach (ie: a combination of individual parameters) is expected to produce ‘upper bound’, conservative results, which identifies areas potentially exposed to coastal erosion, cliff instability and cliff slumping/talus

Tags: environment
Organization: Department of Energy, Environment and Climate Action
VMIA Domestic Building Insurance Web Statistics - historical

Historical data collected from VMIA's now decommissioned domestic building insurance portal: www.dbi.vmia.vic.gov.au. This data was used for the measurement, analysis and reporting of for the purposes of understanding of web users online experience and behaviour, in order to improve it.
Domestic building insurance is now managed by the Building and Plumbing Commission.

Tags: Annual Report, DTF, Domestic Building Insurance, VMIA, Web Statistics
Organization: Victorian Managed Insurance Authority
Cliff Risk Score - Medium Term - 2040 - 2070

The Cliff_RiskScore_MediumTerm_2040_2070 dataset evaluates the likelihood and consequence of cliff instability to support risk management in areas with coastal cliffs. This includes the classification of risk across the determined timeframes and climate change scenarios.
The dataset provides a second-pass, regional assessment providing a top-down coastal
compartment view of risk which. The outputs of second-pass risk assessments can be used to
support discussion among stakeholders regarding coastal erosion and instability risks, broader
climate change risks and the development of adaptation pathways within Victoria’s coastal
compartments. However, it should be noted that this assessment has been undertaken at a
high level (regional/state-wide scale) and is not appropriate for local scale planning. The data
from this assessment may be superseded by local scale and site-specific assessments
undertaken by a suitably qualified and experienced practitioner. The assessment is based on
available data, tools and understanding of coastal processes.
Further information is contained in the study report "Victorian Coastal Cliff Assessment - Stage 2 Risk Assessment", Tonkin and Taylor, September 2023.

Tags: environment, oceans
Organization: Department of Energy, Environment and Climate Action
Geophysical metamorphism (1:100,000), Geophysical Interpretation of Contact and Regional Metamorphism Arc

This dataset displays areas of contact and regional metamorphism, and the style of metamorphism,  mapped using using combined interpretations of airborne magnetic, radiometric and gravity survey data at 1:100,000.
At scales larger than 1:120,000 the display is a combination of both 1:100,000 and 1:250,000 geophysical mapping.  Recent 1:250,000 geophysical mapping has been of such quality and detail it has been used to supersede older coincident 1:100,000 mapping.  This occurs in the following areas:  St Arnaud 7524, Dunolly 7624, Charlton 7525, Wedderburn 7625 and part of Ararat 7423 are superseded by St Arnaud SJ54-4.  Bendigo 7724, Heathcote 7824 and Nagambie 7924 are superseded by Bendigo SJ55-1. 
Balmoral 7223, Ararat 7423, Horsham SJ54-3 and St Arnaud SJ54-4 supersede Grampians 7323 where there is overlap.
This data has been collected by the Geological Survey of Victoria.  This dataset is accompanied by other datasets representing geological polygons and boundaries, sub-surface geological polygons, structural lines and miscellaneous lines.

Tags: geoscientific information
Organization: Department of Energy, Environment and Climate Action
Vicmap Topographic Themes - Features of Interest (FOI) Index Extent Polygon

VTT_FOI_INDEX_EXTENT is part of the Vicmap Topographic Themes (VTT) prooduct.  This dataset is a superset of FOI_INDEX_EXTENT and includes the current and retired states of each feature instance.  It  supports feature versioning (RETIRE_DATE_UFI) and enables feature edit chaining (UFI_OLD).
Part of the VTT Features of Interest dataset
Polygon extent of ALL features of interest records within Victoria. It holds ALL features ONCE regardless of whether they were derived from a point, line or polygon feature.

Tags: geoscientific information, location, structure
Organization: Department of Transport and Planning
Seismic 3D Survey Areas - for Petroleum Industry Exploration

The polygons depict the outline of 3D surveys. These outlines illustrate the survey outlines but are not consistently defined. The polygons have been extracted from survey reports but may illustrate surface coverage, full fold coverage or even the final grid definitions. Care should be exercised when using these polygons for anything other than an indication of survey extent.

Tags: geoscientific information, utilities communication
Organization: Department of Energy, Environment and Climate Action
Cliff Risk Score - Long Term - 2070 - 2100

The Cliff_RiskScore_LongTerm_2070_2100 dataset evaluates the likelihood and consequence of cliff instability to support risk management in areas with coastal cliffs. This includes the classification of risk across the determined timeframes and climate change scenarios.
The dataset provides a second-pass, regional assessment providing a top-down coastal
compartment view of risk which. The outputs of second-pass risk assessments can be used to
support discussion among stakeholders regarding coastal erosion and instability risks, broader
climate change risks and the development of adaptation pathways within Victoria’s coastal
compartments. However, it should be noted that this assessment has been undertaken at a
high level (regional/state-wide scale) and is not appropriate for local scale planning. The data
from this assessment may be superseded by local scale and site-specific assessments
undertaken by a suitably qualified and experienced practitioner. The assessment is based on
available data, tools and understanding of coastal processes.
Further information is contained in the study report "Victorian Coastal Cliff Assessment - Stage 2 Risk Assessment", Tonkin and Taylor, September 2023.

Tags: environment, oceans
Organization: Department of Energy, Environment and Climate Action
Victorian Water Accounts Water Supply Summaries

There are 18 water corporations that provide a range of services to Victorian towns and systems.
The water supply accounts on this site track water from the time it moves from a waterway, an aquifer or other source to the time it is delivered to a customer or another destination.
Water supply systems (previously known in the Accounts as distribution systems) typically describe irrigation systems or towns and urban areas. Some infrastructure services both.
Providing water accounts for water supply systems enables water corporations and the community to understand where delivery efficiency improvements to reduce losses can be made.
We also provide summary accounts for each water corporation; search for them via the water supply reports. From the water corporation pages, the accounts for the individual water supply systems can be reached. Alternatively, use the Search function in the menu bar at the top of the page to go directly to your town or irrigation system of interest.
More information:

- Descriptions of water corporations and other important organisations involved in managing water are detailed in [Who manages our water?](https://accounts.water.vic.gov.au/2023/water-explained/who-manages-our-water/)
- Water management is detailed in [How is water managed?](https://accounts.water.vic.gov.au/2023/water-explained/who-manages-our-water/)
- Detail on how we report on and account for water system supply is found in [How do we account for water?](https://accounts.water.vic.gov.au/2023/water-explained/how-do-we-account-for-water/#how-we-account-for-water-supply)

Tags: Water Usage, environment, water supply
Organization: Water and Catchments
Cliff Instability Areas (ASCCIE) - Present day - 0.0m SLR

The ASCCIE_2040_02mSLR dataset is a digital dataset consisting of multiple spatial layer outputs from modelled erosion scenarios. The dataset is recommended for use at the statewide / regional scale along the Victorian coastline. Application of the data should be guided by the accompanying Victorian Coastal Cliff Assessment technical reports and expert advice. The product is not suitable for individual property scale assessments. Further information is contained in the study report "Victorian Coastal Cliff Assessment", Tonkin and Taylor, Sep 2023.
Consolidated shorelines, which include soil and rock cliffs, are not able to rebuild following periods of
erosion but rather are subject to a one-way process of degradation. ASCCIEs typically have two components:
• Toe Erosion
A gradual retreat of the cliff toe caused by weathering, marine and bio-erosion processes. This
retreat will be affected by global process such as sea level rise and potentially increased soil
moisture. Future cliff toe position based on historical erosion rates with a factor applied to
allow for the effect of future sea level rise.
• Cliff Instability
Episodic instability events are predominately due to a change in loading or material properties
of the cliff or yielding along a geological structure. In soft cliffs, instability causes the cliff slope
to flatten to a slope under which it is “stable” (geo-mechanically). Soil cliff slope instabilities
are influenced by processes that erode and destabilise the cliff toe, including marine
processes, weathering and biological erosion or change the stress within the cliff slope. Most
of the hard cliffs are stable at very steep angles. Instability events may range from small-scale
instabilities (block or rock falls) or discontinuities, to cliff slope instability cause by large-scale
and deep-seated mass movement. The latter mode of failure in hard cliffs is rare.

Tags: environment, oceans
Organization: Department of Energy, Environment and Climate Action
Bundaberg 2021

Imagery CaptureSensor - Phase One iXM-RS280FFocal Length - 90 mmImagery Type - RGBAcquisition Date(s) - 2021-07-10;2021-07-13;2021-07-14;2021-07-17;2021-07-18Flying Height (above MSL) - 4675 feetNumber of Images - 4948Capture Methodology - Primary Runs - 72, Secondary/Tie Runs - 0Forward / Side Overlap (%) - 70 / 40Imagery Capture Notes - Capture completed without issues. All SISP capture requirements metOrthosmosaicA digital orthophoto is a raster image of remotely sensed data in which displacement in the image due to sensor orientation and terrain relief have been corrected (orthorectification). Orthophotos combine the image characteristics of a photograph with the geometric qualities of a map and can be used as a backdrop layer in conjunction with other spatial information.Spatial Resolution - 6 cmSpatial Accuracy - 3 pixels @ 68% confidence (Sigma 1)Spatial Accuracy Notes - Accuracy compared against visible survey marks (See Bundaberg_Urban_2021_6cm_SISP_AT_Report.txt) and visually checked with Cadastral data.Map Projection - Web Mercator Auxiliary SphereRectification Surface - Merged LIDAR and Photogrammetry Derived DTM by Outline Global 1m LIDAR DTM derived as part of the National Elevation Data Framework and Coastal and Urban DEM Program and sourced from https://elevation.fsdf.org.au/. The statedFundamental Vertical Accuracy (FVA) is +- 30cm @95% confidence interval and Fundamental Horizontal Accuracy (FHA) is +-80cm @95% confidence interval. Outline Global have not verified the stated vertical and horizontal accuracy of the 1m LIDAR DTM.Description of Rectification - Rectification performed using the results of bundle block adjustment and merged LIDAR DTM and DTM derived from the same aero-triangulation. Individual orthophotos were generated with the outer 10% to 15% of the image removed. This ensures that the auto-generated cutlines avoid the extreme edges of images where building or tree lean and overall seamlessness is likely to be higher. A seamless orthophoto mosaic from the individual orthophotos was produced utilising Photomod-Geomosaic. The software auto generates seamlines using a detailed Voronoi diagram algorithm that typically avoids placing cutlines in areas of large contrast (building roofs, mine pits etc.). The cutline locations are manually reviewed by an operator and where necessary they are adjusted to avoid tall objects, remove solar flare on water bodies and improve overall seamlessness.Tile Size / Grid - 1km2Limitations of DataThis dataset contains imagery which has been aero-triangulated, spatially adjusted and rectified using a digital ground surface model. The stated spatial accuracy of this product is relevant for features present at ground level only. Elevated structures (roof-tops, tree canopies, etc) will be affected by relief displacement and cannot be reliably measured from this product. Spatial accuracy is reduced in areas of dense vegetation. 

Tags: bundaberg, bundaberg-2021, bundaberg-regional-council, imagery
Organization: Bundaberg Regional Council Open Data
Woodgate 2017

Imagery CaptureSensor - VisionMap A3-EdgeFocal Length - 300mm (f/4.5)Imagery Type - RGBAcquisition Date(s) - 2017-05-15Flying Height (above MSL) - 2440m (8000ft)Capture Methodology - Primary Runs - 5Forward / Side Overlap (%) - 55 / 60OrthosmosaicA digital orthophoto is a raster image of remotely sensed data in which displacement in the image due to sensor orientation and terrain relief have been corrected (orthorectification). Orthophotos combine the image characteristics of a photograph with the geometric qualities of a map and can be used as a backdrop layer in conjunction with other spatial information.Spatial Resolution - 6 cmSpatial Accuracy - +/- 3 pixels @ 68% confidence (Sigma 1)Map Projection - Web Mercator Auxiliary SphereRectification Surface - DTM (supplied by DNRM in .img format)Description of Rectification - High end commercial photogrammetric software and Aerometrex proprietary software has been utilised in the ortho rectification and mosaicing process. This methodology assists Aerometrex to produce a seamless geo-referenced orthophotography product.Tile Size / Grid - 1km x 1km GeoTIFF TilesLimitations of DataThis dataset contains imagery which has been aero-triangulated, spatially adjusted and rectified using a digital ground surface model. The stated spatial accuracy of this product is relevant for features present at ground level only. Elevated structures (roof-tops, tree canopies, etc) will be affected by relief displacement and cannot be reliably measured from this product. Spatial accuracy is reduced in areas of dense vegetation. 

Tags: imagery, woodgate
Organization: Bundaberg Regional Council Open Data
AusUrbHI Heat Health Vulnerability Indices - NSW Cities and Regions Sample (SA1) 2016

This dataset is a sample of the Heat Health Vulnerability Index (HHVI) from the Australian Urban Health Indicators (AusUrb-HI) project. It includes all SA1s within a single SA2 region in New South Wales (NSW).
This dataset provides a spatial indicator of population vulnerability to extreme heat at the Statistical Area Level 1 (SA1), developed as part of the Heat Health Vulnerability case study within the AusUrb-HI project. The indicator captures three dimensions of vulnerability: exposure, sensitivity, and adaptive capacity. It integrates demographic profiles, environmental conditions, and urban morphology to map areas most at risk of heat-related health impacts. A comprehensive description of the methodology and outcomes is available in this report.
The AusUrb-HI project, led by AURIN, brings together expertise from QUT, RMIT, and UWA. It aims to enhance the understanding of urban health through spatial data assets across three themes: Cancer Determinants, Heat Health Vulnerability, and Urban Liveability &amp; Health. These indicators are designed to inform health professionals, planners, and policymakers in delivering targeted, climate-sensitive strategies to improve health and resilience in urban environments.
This dataset focuses on the NSW case study area, where linked hospital admissions data enabled validation of the HHVI. The index was developed using principal component analysis (PCA) on up to 44 input variables, with results produced for both the 2016 and 2021 census years. Multiple downscaling methods were tested, showing high internal consistency and strong correlation with the Australian Bureau of Statistics' Index of Relative Socio-economic Disadvantage (IRSD).
The linked health data used for validation was accessed through the Centre for Health Record Linkage (CHeReL) and analyzed in the Secure Unified Research Environment (SURE).
This dataset is intended to support evidence-based planning for climate resilience and public health. Each record includes values for exposure, sensitivity, adaptive capacity, and the combined index, along with variables used to derive these indices.

Tags: heat health, indicators
Organization: AURIN
AusUrbHI Heat Health Vulnerability Indices - NSW Cities and Regions Sample (SA1) 2021

This dataset is a sample of the Heat Health Vulnerability Index (HHVI) from the Australian Urban Health Indicators (AusUrb-HI) project. It includes all SA1s within a single SA2 region in New South Wales (NSW).
This dataset provides a spatial indicator of population vulnerability to extreme heat at the Statistical Area Level 1 (SA1), developed as part of the Heat Health Vulnerability case study within the AusUrb-HI project. The indicator captures three dimensions of vulnerability: exposure, sensitivity, and adaptive capacity. It integrates demographic profiles, environmental conditions, and urban morphology to map areas most at risk of heat-related health impacts. A comprehensive description of the methodology and outcomes is available in this report.
The AusUrb-HI project, led by AURIN, brings together expertise from QUT, RMIT, and UWA. It aims to enhance the understanding of urban health through spatial data assets across three themes: Cancer Determinants, Heat Health Vulnerability, and Urban Liveability &amp; Health. These indicators are designed to inform health professionals, planners, and policymakers in delivering targeted, climate-sensitive strategies to improve health and resilience in urban environments.
This dataset focuses on the NSW case study area, where linked hospital admissions data enabled validation of the HHVI. The index was developed using principal component analysis (PCA) on up to 44 input variables, with results produced for both the 2016 and 2021 census years. Multiple downscaling methods were tested, showing high internal consistency and strong correlation with the Australian Bureau of Statistics' Index of Relative Socio-economic Disadvantage (IRSD).
The linked health data used for validation was accessed through the Centre for Health Record Linkage (CHeReL) and analyzed in the Secure Unified Research Environment (SURE).
This dataset is intended to support evidence-based planning for climate resilience and public health. Each record includes values for exposure, sensitivity, adaptive capacity, and the combined index, along with variables used to derive these indices.

Tags: heat health, indicators
Organization: AURIN
Public Interest Information (Whistle-blowers') disclosure for the Department for Infrastructure and Transport

Number of occasions on which public interest information has been disclosed to a responsible officer of the Department under the Whistle-blowers' Protection Act 1993 and Public Interest Disclosures Act 2018. All references to DPTI are referring to the former name of the Department, namely the Department of Planning, Transport and Infrastructure.

Tags: annual report, blower, disclosure, whistle
Organization: Department for Infrastructure and Transport
Department for Education Workforce Qualifications and Abilities

The Australian Qualifications Framework 2011 (AQF) level of the highest qualification held by teachers, leader and school support officers. Where a person holds multiple qualifications only the highest is included in the count.
Ancillary workforce functions include all of the capabilities of staff regardless of whether they are used in their current role. The total count may exceed the person count.

Tags: abilities, employees, qualifications, workforce
Organization: Department for Education