AndreaBozzo/ceres-open-data-index huggingface dataset:
Climate Vulnerability Assessment: Serpentine Leafminer

The <strong>Climate Vulnerability Assessment</strong> was designed to provide an overview of the impact of future climate change on all stages of production for the commodities and biosecurity risks assessed. The project used multicriteria analysis (MCA) models to produce assessments for the commodities and biosecurity risks in a consistent and comparable way, and a framework was developed to provide a rigorous, flexible and transparent process for assessing vulnerabilities and opportunities to climate change. Details of the approach and the climate data used in the assessments can be found in the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Methodology Report</a> which also details model exclusions and assumptions.

Assessments were undertaken on commodities grouped into 6 nodes: <em>Horticulture and Viticulture</em>, <em>Broadacre Cropping</em>, <em>Forestry</em>, <em>Extensive Livestock</em>, <em>Marine Fisheries</em>, as well as for a set of biosecurity risks related to these primary industry sectors. The <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Summary Report</a> gives details of the chosen commodities and biosecurity risks and summarises the high-level results.

Results Reports for each commodity and biosecurity risk are being released. Visit the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment">project's web pages</a> to access these reports and for further information.

This dataset contains maps of modelled climate suitability for the <strong>serpentine leafminer</strong> model in the Biosecurity Risks node of the DPIRD Climate Vulnerability Assessment. Maps are provided (in GeoTIFF format) for each element of the model: the climate suitability for each month, climate suitability maps for each phenophase and also for each phenophase/climate variable combination in the model. Data is provided for each of the eight global climate models (GCMs) used in the project, as well as the climate suitability derived from historical observations, along with the ensemble median for each map.

Tags: agriculture, biosecurity, climate change, climate vulnerability assessment, horticulture, planning, plant pests
Organization: Department of Primary Industries and Regional Development (DPIRD)
Climate Vulnerability Assessment: Almond

The <strong>Climate Vulnerability Assessment</strong> was designed to provide an overview of the impact of future climate change on all stages of production for the commodities and biosecurity risks assessed. The project used multicriteria analysis (MCA) models to produce assessments for the commodities and biosecurity risks in a consistent and comparable way, and a framework was developed to provide a rigorous, flexible and transparent process for assessing vulnerabilities and opportunities to climate change. Details of the approach and the climate data used in the assessments can be found in the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Methodology Report</a> which also details model exclusions and assumptions.

Assessments were undertaken on commodities grouped into 6 nodes: <em>Horticulture and Viticulture</em>, <em>Broadacre Cropping</em>, <em>Forestry</em>, <em>Extensive Livestock</em>, <em>Marine Fisheries</em>, as well as for a set of biosecurity risks related to these primary industry sectors. The <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Summary Report</a> gives details of the chosen commodities and biosecurity risks and summarises the high-level results.

Results Reports for each commodity and biosecurity risk are being released. Visit the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment">project's web pages</a> to access these reports and for further information.

This dataset contains maps of modelled climate suitability for the <strong>almond</strong> model in the Horticulture and Viticulture node of the DPIRD Climate Vulnerability Assessment. Maps are provided (in GeoTIFF format) for each element of the model: the overall climate suitability, climate suitability maps for each phenophase and also for each phenophase/climate variable combination in the model. Data is provided for each of the eight global climate models (GCMs) used in the project, as well as the climate suitability derived from historical observations, along with the ensemble median for each map.

Tags: agriculture, biosecurity, climate change, climate vulnerability assessment, horticulture, planning
Organization: Department of Primary Industries and Regional Development (DPIRD)
NDIS Commission Compliance Actions - 24.03.2026

By publishing regulatory activity, the NDIS Quality and Safeguards Commission increases awareness and transparency of matters that affect the quality and safety of NDIS supports and services. This information supports informed choice for NDIS participants and stakeholders, promotes best practice by providers, and helps deter conduct that may place people with disability at risk. All compliance and enforcement actions published by the NDIS Commission are taken under the National Disability Insurance Scheme Act 2013 and associated Rules. These laws set out the legal obligations of NDIS providers and the regulatory powers of the NDIS Commissioner. 

This dataset includes information from the NDIS Commission Provider Register Part 2 and outlines compliance and enforcement actions taken against NDIS providers and individuals. It contains records of regulatory actions published by the NDIS Commission and is intended to support transparency and public access to information. The dataset reflects the information available on the NDIS Commission website at the time of publication.


Tags: Banned, Banning, Compliance, Disqualified, NDIS, Providers, Refusal, Register, Revoke, Suspension
Organization: NDIS Quality and Safeguards Commission
Climate Vulnerability Assessment: Xylella

The <strong>Climate Vulnerability Assessment</strong> was designed to provide an overview of the impact of future climate change on all stages of production for the commodities and biosecurity risks assessed. The project used multicriteria analysis (MCA) models to produce assessments for the commodities and biosecurity risks in a consistent and comparable way, and a framework was developed to provide a rigorous, flexible and transparent process for assessing vulnerabilities and opportunities to climate change. Details of the approach and the climate data used in the assessments can be found in the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Methodology Report</a> which also details model exclusions and assumptions.

Assessments were undertaken on commodities grouped into 6 nodes: <em>Horticulture and Viticulture</em>, <em>Broadacre Cropping</em>, <em>Forestry</em>, <em>Extensive Livestock</em>, <em>Marine Fisheries</em>, as well as for a set of biosecurity risks related to these primary industry sectors. The <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Summary Report</a> gives details of the chosen commodities and biosecurity risks and summarises the high-level results.

Results Reports for each commodity and biosecurity risk are being released. Visit the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment">project's web pages</a> to access these reports and for further information.

This dataset contains maps of modelled climate suitability for the <strong>Xylella</strong> model in the Biosecurity Risks node of the DPIRD Climate Vulnerability Assessment. Maps are provided (in GeoTIFF format) for each element of the model: the climate suitability for each month, climate suitability maps for each phenophase and also for each phenophase/climate variable combination in the model. Data is provided for each of the eight global climate models (GCMs) used in the project, as well as the climate suitability derived from historical observations, along with the ensemble median for each map.

Tags: agriculture, biosecurity, climate change, climate vulnerability assessment, horticulture, planning, plant disease
Organization: Department of Primary Industries and Regional Development (DPIRD)
Climate Vulnerability Assessment: Biting Midge

The <strong>Climate Vulnerability Assessment</strong> was designed to provide an overview of the impact of future climate change on all stages of production for the commodities and biosecurity risks assessed. The project used multicriteria analysis (MCA) models to produce assessments for the commodities and biosecurity risks in a consistent and comparable way, and a framework was developed to provide a rigorous, flexible and transparent process for assessing vulnerabilities and opportunities to climate change. Details of the approach and the climate data used in the assessments can be found in the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Methodology Report</a> which also details model exclusions and assumptions.

Assessments were undertaken on commodities grouped into 6 nodes: <em>Horticulture and Viticulture</em>, <em>Broadacre Cropping</em>, <em>Forestry</em>, <em>Extensive Livestock</em>, <em>Marine Fisheries</em>, as well as for a set of biosecurity risks related to these primary industry sectors. The <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Summary Report</a> gives details of the chosen commodities and biosecurity risks and summarises the high-level results.

Results Reports for each commodity and biosecurity risk are being released. Visit the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment">project's web pages</a> to access these reports and for further information.

This dataset contains maps of modelled climate suitability for the <strong>biting midge</strong> model in the Biosecurity Risks node of the DPIRD Climate Vulnerability Assessment. Maps are provided (in GeoTIFF format) for each element of the model: the climate suitability for each month, climate suitability maps for each phenophase and also for each phenophase/climate variable combination in the model. Data is provided for each of the eight global climate models (GCMs) used in the project, as well as the climate suitability derived from historical observations, along with the ensemble median for each map.

Tags: agriculture, biosecurity, climate change, climate vulnerability assessment, livestock, livestock pests, planning
Organization: Department of Primary Industries and Regional Development (DPIRD)
Climate Vulnerability Assessment: Sclerotinia Stem Rot

The <strong>Climate Vulnerability Assessment</strong> was designed to provide an overview of the impact of future climate change on all stages of production for the commodities and biosecurity risks assessed. The project used multicriteria analysis (MCA) models to produce assessments for the commodities and biosecurity risks in a consistent and comparable way, and a framework was developed to provide a rigorous, flexible and transparent process for assessing vulnerabilities and opportunities to climate change. Details of the approach and the climate data used in the assessments can be found in the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Methodology Report</a> which also details model exclusions and assumptions.

Assessments were undertaken on commodities grouped into 6 nodes: <em>Horticulture and Viticulture</em>, <em>Broadacre Cropping</em>, <em>Forestry</em>, <em>Extensive Livestock</em>, <em>Marine Fisheries</em>, as well as for a set of biosecurity risks related to these primary industry sectors. The <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Summary Report</a> gives details of the chosen commodities and biosecurity risks and summarises the high-level results.

Results Reports for each commodity and biosecurity risk are being released. Visit the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment">project's web pages</a> to access these reports and for further information.

This dataset contains maps of modelled climate suitability for the <strong>Sclerotinia stem rot</strong> model in the Biosecurity Risks node of the DPIRD Climate Vulnerability Assessment. Maps are provided (in GeoTIFF format) for each element of the model: the climate suitability for each month, climate suitability maps for each phenophase and also for each phenophase/climate variable combination in the model. Data is provided for each of the eight global climate models (GCMs) used in the project, as well as the climate suitability derived from historical observations, along with the ensemble median for each map.

Tags: agriculture, biosecurity, climate change, climate vulnerability assessment, crop disease, cropping, planning
Organization: Department of Primary Industries and Regional Development (DPIRD)
Climate Vulnerability Assessment: Macadamia

The <strong>Climate Vulnerability Assessment</strong> was designed to provide an overview of the impact of future climate change on all stages of production for the commodities and biosecurity risks assessed. The project used multicriteria analysis (MCA) models to produce assessments for the commodities and biosecurity risks in a consistent and comparable way, and a framework was developed to provide a rigorous, flexible and transparent process for assessing vulnerabilities and opportunities to climate change. Details of the approach and the climate data used in the assessments can be found in the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Methodology Report</a> which also details model exclusions and assumptions.

Assessments were undertaken on commodities grouped into 6 nodes: <em>Horticulture and Viticulture</em>, <em>Broadacre Cropping</em>, <em>Forestry</em>, <em>Extensive Livestock</em>, <em>Marine Fisheries</em>, as well as for a set of biosecurity risks related to these primary industry sectors. The <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Summary Report</a> gives details of the chosen commodities and biosecurity risks and summarises the high-level results.

Results Reports for each commodity and biosecurity risk are being released. Visit the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment">project's web pages</a> to access these reports and for further information.

This dataset contains maps of modelled climate suitability for the <strong>macadamia</strong> model in the Horticulture and Viticulture node of the DPIRD Climate Vulnerability Assessment. Maps are provided (in GeoTIFF format) for each element of the model: the overall climate suitability, climate suitability maps for each phenophase and also for each phenophase/climate variable combination in the model. Data is provided for each of the eight global climate models (GCMs) used in the project, as well as the climate suitability derived from historical observations, along with the ensemble median for each map.

Tags: agriculture, biosecurity, climate change, climate vulnerability assessment, horticulture, planning
Organization: Department of Primary Industries and Regional Development (DPIRD)
Bike Parking

Bike sheds and lockers' locations, including latitude and longitude, quantity and asset IDs.

Bike sheds and lockers help to keep your bicycle, helmet and associated equipment safe and protected from the weather.

Bike sheds are enclosed shared shelters where you can store your bicycle out of the weather, free of charge. They accommodate between 12 and 55 bicycles, depending on requirements at the bike shed location. You don't have to pre-book a space. To gain entry to a bike shed, just link your Opal card and accept the Bike shed terms and conditions. Please note, spaces cannot be guaranteed inside a shed as they are provided on a first in first served basis

Bike lockers are individual, lockable spaces to help keep your bike and associated equipment protected from weather, theft and vandalism. There are over 830 bike lockers at 110 locations, so it’s as simple as selecting your location and rental period and enjoying your exclusive locker access.

The Bike sheds and lockers website provides you with additional information. There is an excel version of the data that is available on the website. <a href="https://bikelocker.transport.nsw.gov.au/">https://bikelocker.transport.nsw.gov.au/</a>

Tags: bicycle, bike, bike lockers, bike parking, geospatial, shed
Organization: Transport for NSW
Reciprocal transplant experiments of mutagen treated Symbiodiniaceae to ambient and elevated temperatures

We investigated the adaptive responses of coral photosymbionts (Symbiodiniaceae) following chemical mutagenesis and long-term thermal selection.

Strains of Durusdinium trenchii, Fugacium kawagutii and Symbiodinium pilosum were exposed to ethyl methanesulfonate to induce random mutagenesis, and then underwent thermal selection at 31/33&deg;C. After 4.6-5 years of experimental evolution, the in vitro thermal tolerance of these strains was assessed via reciprocal transplant experiments to ambient (27&deg;C) and elevated (31/35&deg;C) temperatures. We measured the growth, photochemical efficiency, oxidative stress and nutrient use of these heat-evolved strains and wild-type strains under both temperature treatments.

This dataset contains data collected during the reciprocal transplant experiments. All the measurements were carried out at the Symbiont Culture Facility at AIMS between 01.10.2021 and 01.05.2022.

Organization: Australian Ocean Data Network
Plastics for Dinner: Store-bought seafood, but not wild-caught, is a source of microplastics to human consumers

Microplastics (MP) contamination was assessed in wild-caught organisms obtained from commercial fishers working in the Great Barrier Reef Marine Park, Queensland, (Australia) in March 2019.

MP contamination was assessed in both the edible (muscle) and inedible (GIT) tissues of four commercial seafood organisms commonly caught and consumed in Australia:Common Coral Trout (Plectropomus leopardus), Barramundi (Lates calcifer), Blue Legged King Prawns (Melicertus latisulcatus), and Ballots Saucer Scallop (Ylistrum balloti)

Filleted barramundi muscle tissues, purchased from local seafood suppliers, were also analysed for MPs, to determine whether MP contamination is introduced through the consumer supply chain.

Samples were analysed using attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) or microimaging ATR-FTIR (&micro;FTIR). Physical characteristics of each confirmed synthetic particle were described in terms of shape (fibre or fragment), size and colour from the microscopic photographs. Fibres were defined as elongated particles with a relatively homogenous width throughout, and distinctly parallel sides. All other items were defined as fragments. Fibre length and width was determined, for particles, length determined, and colour for all particles recorded (white and transparent particles were grouped).

MP abundance in seafood was calculated as MP g tissue-1 (w.w) or MP sample-1. Unpaired T-tests were used to explore the concentration of MPs extracted from the store-bought fillets and the wild fish. A general linear model with Gaussian distribution was used to explore differences amongst particle sizes extracted from the fillets. Length data was log transformed to improve the goodness of fit of the model. Statistical analysis was carried out using GraphPad Prism 8.4.3 or R version 4.1.1.

Full analysis and descriptions at presented in Dawson et.al 2022

Organization: Australian Ocean Data Network
EcoRRAP Benthic Data 2021-2024

This dataset contains benthic data generated from imagery collected by divers conducting photogrammetric monitoring at EcoRRAP sites (see SOP #14: Reef monitoring sampling methods | AIMS). These images used are the underlying images of the EcoRRAP 3D models and are used here to assess benthic community composition within EcoRRAP plots. 

A subset of images were extracted for this dataset by using a python script that filtered for image position within 3D models, to enable the best spatial stratification, as well as for aspect to maximise extraction of images facing the benthos. A 1000-pixel bounding box was applied to the edges of the image to remove areas of distortion (original image size was 8256x5504 pixels). Images were extracted for 352 plots in 2021, 333 plots in 2022, 325 plots in 2023, and 191 plots in 2024. Missing plots from each year are not available due to either logitsical or processing constraints.

Twelve images per plot (72 square meters, or 12 x 6m, total in each plot) with 50 points per image were analysed in ReefCloud. Images from a subset of plots in 2021, 2022, and 2023 were manually annotated in ReefCloud to train an automated image analysis model and the remaining plots were analysed using the automated model. Images were annotated using the EcoRRAP Community Composition Label Set which is included in this data package. 

Important Note for 2024 data: data is only available from reefs in the EcoRRAP Central Cluster and the Torres Strait Cluster. Please also be aware that no additional human annotations have been done on 2024 images, therefore all 2024 points are solely machine generated.

The ReefCloud ML model was trained with a goal of achieving 80% accuracy for identification of benthos. Training proceeded as an iterative process with model diagnostics assessed after each round of training. Once performance targets were reached across course taxonomic classes, targeted annotation was undertaken to improve the model performance for specific classes. In January 2026, a full quality check of all human annotated points was undertaken to ensure optimal model performance.

Please read all associated README files prior to using this dataset as they provide critical context about the generation and use of this data.

Organization: Australian Ocean Data Network