AndreaBozzo/ceres-open-data-index huggingface dataset:
SoE2020: Wet Tropics of Queensland World Heritage natural criteria

The Wet Tropics of Queensland meets all 4 World Heritage natural criteria, displaying: features of exceptional natural beauty; outstanding examples of the major stages in the earth's evolutionary history; outstanding examples of ongoing ecological processes and biological evolution; and as a centre of biological diversity and the only habitat for numerous threatened species.

Tags: Heritage, State of the environment, World
Organization: Environment, Tourism, Science and Innovation
SoE2020: Land use, land use change and forestry sector greenhouse gas emissions

In 2018, net emissions from the land use, land use change and forestry (LULUCF) sector contributed 22.8 million tonnes of carbon dioxide equivalent (MtCO2e), or 13% of Queensland&rsquo;s total emissions. Emissions from the LULUCF sector decreased 66% between 2005 and 2018. Queensland has been the largest source of this type of emissions in Australia since 1990.

Tags: Greenhouse gas emissions, Pollution, State of the environment
Organization: Environment, Tourism, Science and Innovation
SoE2015: Extent of endangered, of concern and no concern at present regional ecosystems

The area of Queensland is 172.8 million hectares. In 2013, about 80% of the state contained remnant regional ecosystems, of which 1% had a conservation classification of 'endangered' regional ecosystems, 10% classified as 'of concern' and 69% of remnant regional ecosystems were of 'no concern at present'.

Tags: Biodiversity, State of the environment, Terrestrial ecosystems
Organization: Environment, Tourism, Science and Innovation
SoE2020: Soil and land resources availability and capability

The majority of the Queensland&rsquo;s land resource (71% or 1,234,099km2) is mainly suitable for grazing. Only 9% (or 157,696km2) is Class A land, suitable for intensive high-productivity agriculture. These data relate to a general assessment and it should be noted that agricultural production in any given year is affected by seasonal rainfall and water availability.

Tags: Liveability, Rural, State of the environment
Organization: Environment, Tourism, Science and Innovation
SoE2020: Fragmentation of remnant vegetation

In the most recent 2015&ndash;2017 period, the New England Tablelands has experienced the greatest patch density increase (13.4%) and greatest remnant core areas density loss (-2%). The Gulf Plains experienced the greatest increase in the frequency of edges (226), the Brigalow Belt the greatest increase in patches (316) and the Mulga Lands the greatest fragmentation of core areas into smaller core units (400). These examples demonstrate that fragmentation has many guises and they do not necessarily correlate with rates of clearing.

Tags: Biodiversity, State of the environment, Terrestrial ecosystems
Organization: Environment, Tourism, Science and Innovation
SoE2020: Extent and rate of change in estuarine wetlands

More than 96% of the pre-European settlement extent of estuarine wetlands in Queensland remained in 2017. Changes in the extent of estuarine wetlands in Queensland have been monitored since 2001. The highest rate of estuarine wetland loss was recorded during the 2001&ndash;2005 period (0.03%) mostly in the North East Coast drainage division.

Of the 2 broad estuarine wetland types &mdash; mangroves and salt marsh/salt flats &mdash; the greatest ongoing losses have occurred in salt marsh/salt flats in the North East Coast Drainage division.

Tags: Biodiversity, State of the environment
Organization: Environment, Tourism, Science and Innovation
Associated water volumes for P&G wells in the Surat Cumulative Management Area (CMA)

Associated water volumes for P&amp;G wells in the Surat Cumulative Management Area (CMA)

Since the initial Underground Water Impact Report in 2012, monthly associated water volumes have been provided by coal seam gas (CSG) tenure holders to OGIA every six months. Associated water data from larger conventional developments, such as Moonie, are also provided to OGIA. Historical associated water data from conventional developments has been synthesised from data submitted by tenure holders to the Department of Resources (DoR).

Following the six monthly submission of the data from tenure holders or DoR, OGIA undertakes quality control and assurace checks on the dataset. This export of data includes edits or updates to the dataset at the time of publication. This is undertaken every six months.

The datum used is GDA94.

Tags: Associated Water, CSG, OGIA, Surat CMA, UWIR
Organization: Local Government, Water and Volunteers
SSCN SEGMENT 2-B Eastern Recherche Marine Park Bathymetry Acquisition (20240012S)

This dataset is part of a broader survey carried out by EGS onboard the survey vessel RV Bold Explorer (RV BE) during the  SUBCO Subsea Cable Network (SSCN) cable route survey. 

The area is confined to the data within the Eastern Recherche Marine Park. The Survey team and client representative joined the RV Bold Explorer on 17th April 2024 at Fremantle Port,  Australia. Following the embarkation of the survey team, equipment testing and commissioning was carried out. Calibration and verification of the DGPS positioning system and survey gyros onboard RV BE were performed while the vessel was alongside at Fremantle Port, Australia between 17th April and 18th April 2024. 

Prior to departure, tow sensors and hull-mounted sensors were wet tested. All systems were found to be operational. The RV Bold Explorer departed Fremantle Port, Australia and transited to the first site on 19th April 2024. The offshore calibration of shallow water multibeam echosounder (MBES) and USBL were performed on 19th April 2024 while the  calibration of deep water MBES was carried out on 20th April 2024.

The SSCN Segment 2-B survey comprised an investigation of bathymetry, seabed features and shallow geology along the proposed route. A subsequent geotechnical sampling programme was also executed.

This dataset is not to be used for navigational purposes.

Tags: AusSeabed, Australia-wide geoscience data, EARTH SCIENCES, HVC_144641, Multibeam, Oceans, Offshore Mapping, Published_External, Resourcing Australia’s Prosperity, bathymetry, marine
Organization: Geoscience Australia Data
DRAFT Billabong Creek Floodplain Management Plan Stage2




This dataset has been prepared by the NSW Department of Climate Change, Energy, the Environment and Water to support the Stage 2 public consultation for the Billabong Creek Floodplain Management Plan.
The purpose of the dataset is to allow local landholders and other stakeholders to view the proposed floodplain boundary, proposed management zones, proposed floodway network and the identified ecological assets on the floodplain.
The dataset is based on best available information and is subject to change following Stage 2 public exhibition.

Tags: Billabong Creek, FMP, Floodplain Management Plan, NSW DCCEEW, Water
Organization: Spatial Services (DCS)
Spatial Risk of Woody Vegetation and Koala Habitat Loss

The loss and degradation of koala habitat is one of the most significant threats to koalas (Phascolarctos cinereus) in New South Wales (NSW). Addressing this challenge is a key priority of the NSW Koala Strategy. However, substantial knowledge gaps remain regarding where the risks of habitat loss and degradation are highest. This dataset provides spatially explicit predictions of (1) the risk of woody vegetation loss and (2) the risk of koala habitat loss across NSW. Predictions are generated separately for three major land-clearing drivers: (a) agriculture, (b) forestry, and (c) infrastructure.

The predictions were derived from statistical models fitted to deforestation patterns observed in cadastral units from 2011 to 2021, using data from the NSW Statewide Land and Trees Study (SLATS). Model development was informed by expert-identified variables, refined through stepwise selection. To account for regional differences in deforestation rates and drivers, NSW was divided into Koala Modelling Regions (KMRs), with independent risk models constructed for each land-clearing driver. Woody vegetation clearing data and a wide range of predictor variables were initially processed at a 25 m × 25 m resolution before being aggregated to cadastral land units. 

This dataset is linked to the NSW Koala Research Plan project 2022_05 Understanding drivers and identifying solutions to koala habitat loss and degradation. 

More details about the study can be found on: Chung, Y. F., Maron, M., Drielsma, M., &amp; Rhodes, J. R. (2025). Do private land conservation policies and programs adequately consider climate change? Biological Conservation, 308, 111187. https://doi.org/10.1016/j.biocon.2025.111187

Tags: agriculture, deforestation risk, infrastructure development, koala habitat, private land
Organization: The University  of Queensland
Koala monitoring, vaccination, and genetic data from the Ruthven Chlamydia vaccination trial

These datasets are associated with the NSW Koala Research Plan–funded project KR‑2022‑02: Evaluating the protection provided by the USC‑developed koala chlamydia vaccine at the population level. They document koala detection, capture, vaccination, and genetic sampling activities conducted at the Ruthven study site in northern New South Wales as part of a field‑based Chlamydia pecorum vaccination trial. Together, the datasets support spatial, demographic, health, and genetic analyses of a local koala population and enable comparison of population‑level patterns before and after vaccination.

Tags: Enviornment, ecology, koala, vaccine
Organization: The University of the Sunshine Coast
Annual Rainfall Erosivity (R-factor)

This landing page is the collection of data packages that support the Modelled <strong>Annual</strong> Rainfall Erosivity (R-factor) over New South Wales for years commencing 2001.  <strong>Mean Annual</strong> Rainfall Erosivity (R-factor) is calculated as the Mean Rainfall Erosivity (R-factor) across year range.

Tags: Erosion, Hillslope Erosion, Rainfall Erosivity
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Annual Hillslope Bare Soil Erosion

This landing page is the collection of data packages that support the Modelled <strong>Annual</strong> Hillslope Bare Soil Erosion (t.ha-1.year-1) over New South Wales for years commencing 2001.  <strong>Mean Annual</strong> Hillslope Bare Soil Erosion is calculated as the mean (t.ha-1.year-1) across year range.

Tags: Erosion, Hillslope Erosion
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Vaccination against chlamydiosis: An effective disease management tool in wild populations?

This dataset is associated with NSW Koala Research Plan project 2019_07: Vaccination against chlamydiosis – an effective disease management tool in wild populations? It contains spatial data on koala capture locations and Chlamydia pecorum infection status determined using qPCR diagnostics. The data were collected as part of a field‑based vaccination study evaluating the effectiveness of a synthetic peptide vaccine in wild koala populations. The dataset underpins the following publication: Simpson, S.J., Higgins, D.P., Timms, P., Mella, V.S.A., Crowther, M.S., Fernandez, C.M., McArthur, C., Phillips, S., &amp; Krockenberger, M.B. (2023). Efficacy of a synthetic peptide Chlamydia pecorum major outer membrane protein vaccine in a wild koala (Phascolarctos cinereus) population. Scientific Reports, 13, 15087. https://doi.org/10.1038/s41598-023-42296-7

Tags: Chlamydia, Chlamydia pecorum, Vaccine, koala
Organization: The University of Sydney
Plasma IgG, Cytokines, Disease Scores, and C. pecorum Shedding Data

This dataset is linked to the NSW Koala Research Plan–funded project 2022_01: Vaccination of Koalas at the Interface between Chlamydia positive and Chlamydia negative koala populations. It comprises plasma IgG responses, cytokine concentrations, clinical disease scores, and Chlamydia pecorum shedding measurements collected during a 24 month field vaccination trial. Data were analysed using Linear Mixed Effects Models and Cumulative Link Mixed Models. The dataset underpins the following publication: Simpson, S.J., Higgins, D.P., Timms, P. et al. (2025). Evaluation of Chlamydia pecorum major outer membrane protein vaccine as a management tool in wild koala (Phascolarctos cinereus) populations. Scientific Reports, 15, 30601. https://doi.org/10.1038/s41598-025-13296-6

Tags: Chlamydia pecorum, Phascolarctos cinereus, koala, vaccine
Organization: The University of Sydney
Monthly Rainfall Erosivity (R-factor)

This landing page is the collection of data packages that support the Modelled <strong>Annual</strong> Rainfall Erosivity (R-factor) over New South Wales for years commencing 2001.  <strong>Mean Annual</strong> Rainfall Erosivity (R-factor) is calculated as the Mean Rainfall Erosivity (R-factor) across year range.

Tags: Erosion, Hillslope Erosion, Rainfall Erosivity
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Enrolments (FTE) in NSW government schools by SEA quarters and SA4 groupings (2014-2024)

<strong>Data Notes:</strong>
<ul>
<li>

Enrolments are from system extracts in April and are not mid-year census enrolments which are extracted in August.
</li>
<li>

Socio-educational Advantage (SEA) quarter is a student-level index of socio-educational advantage based on parents’ highest school and non-school based educational attainment and occupation group.
</li>
<li>

Previous publications of the Statistical Bulletin compared enrolments in DoE regions. From 2014 these geographies have been discontinued and replaced with a geographical structure based on the new ABS Australian Statistical Geography Standard (ASGS). Groups of ASGS Statistical Area 4 (SA4) boundaries in NSW have been combined into 11 groups for reporting and publication of department data.
</li>
<li>

Data issued for 2014–2023 was titled as ‘FOEI quarters’ which may have caused confusion with the related but distinct school-level measure called Family Occupation and Education Index (FOEI). This has now been corrected to the accurate term ‘SEA quarters’.
</li>
</ul>

<strong>Data Source:</strong>
<ul>
<li>Education Statistics and Measurement, Centre for Education Statistics and Evaluation. </li>
</ul>

Tags: level-SA4, level-region, student-administration-and-wellbeing
Organization: NSW Department of Education
Cumulative risk of multiple types of dieback on koala habitats

This dataset is linked to the NSW koala research plan funded project 2023_03 Understanding the confluence of Eucalyptus dieback and koala habitat in NSW – Stage 1. It contains cumulative risk maps identifying NSW koala habitat exposed to multiple interacting threats, including bell miner associated dieback, Phytophthora, salinity and altered fire regimes. Layers integrate forest disturbance and habitat suitability to highlight areas where overlapping dieback processes may pose the greatest risk to koala populations.

Tags: dieback, ecology, habitat, koala
Organization: Western Sydney University
Historical NSW Soil Plot Data (SCS Research Stations)

This landing page is the collection of data packages that support the development of the SOILLOSS program and are presented in Edwards. K. (1987).

The packages are a collection of historical soil plot data from former NSW Soil Conservation Research Stations (Cowra, Gunnedah, Inverell, Scone, Wagga Wagga and Wellington).

Tags: Erosion, Hillslope Erosion
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Sydney City Council Tree donations

<a href="https://services1.arcgis.com/cNVyNtjGVZybOQWZ/ArcGIS/rest/services/Tree_donations/FeatureServer">Access API</a>

The City of Sydney welcomes tree donations from the public. Our tree donation policy has been designed to encourage community participation in the greening of Sydney.




Metadata <a href="https://portal.spatial.nsw.gov.au/portal/home/item.html?id=a13166e560804ce99665a294468023d4">Portal Metadata Information</a>



 
  
  
Content
  Title
  
  
  
Sydney
  City Council Tree donations
  
 
 
  
  
Content
  Type
  
  
  
Hosted
  Feature Layer
  
 
 
  
  
Description
  
  
  
Map of locations
  of Sydney City Council Tree donations
  
 
 
  
  
Initial
  Publication Date
  
  
  
08/10/2021
  
 
 
  
  
Data
  Currency
  
  
  
08/10/2021
  
 
 
  
  
Data
  Update Frequency
  
  
  
Other
  
 
 
  
  
Content
  Source
  
  
 
 
  
  
File
  Type
  
  
  
Map
  Feature Service
  
 
 
  
  
Attribution
  
  
 
 
  
  
Data
  Theme, Classification or Relationship to other Datasets
  
  
 
 
  
  
Accuracy
  
  
 
 
  
  
Spatial
  Reference System (dataset)
  
  
  
GDA2020
  
 
 
  
  
Spatial
  Reference System (web service)
  
  
  
EPSG:4326
  
 
 
  
  
WGS84
  Equivalent To
  
  
  
GDA2020
  
 
 
  
  
Spatial
  Extent
  
  
 
 
  
  
Content
  Lineage
  
  
 
 
  
  
Data Classification
  
  
  
Unclassified
  
 
 
  
  
Data
  Access Policy
  
  
  
Open
  
 
 
  
  
Data
  Quality
  
  
 
 
  
  
Terms
  and Conditions
  
  
  
Creative
  Commons
  
 
 
  
  
Standard
  and Specification
  
  
 
 
  
  
Data
  Custodian
  
  
  
NSW
  Spatial Services
  
 
 
  
  
Point
  of Contact
  
  
  
Please
  contact us via the <a href="https://customerhub.spatial.nsw.gov.au/servicedesk/customer/portals">Spatial Services Customer Hub</a>
  
 
 
  
  
Data
  Aggregator
  
  
  
City of
  Sydney Council
  
 
 
  
  
Data
  Distributor
  
  
 
 
  
  
Additional
  Supporting Information
  
  
 
 
  
  
TRIM
  Number
  
  
 


Tags: Sydney City Council, Tree donations
Organization: Spatial Services (DCS)
RUSLE Factors

This landing page is the collection of data packages that are derived as input to the Hillslope Erosion equation. 

The Universal Soil Loss Equation (USLE) and its main derivate, the Revised Universal Soil Loss Equation (RUSLE), are widely used in estimating hillslope erosion

Soil Erodibility (K-factor)

Soil erodibility represents the soil's response to rainfall and run-off erosivity and is related to soil properties such as organic matter content, texture, structure, permeability and aggregate stability.

Slope and Steepness (LS-factor)

The effects of topography on hillslope erosion are estimated through the product of slope length (L) and slope steepness (S) subfactors, or LS factor, which often contains the highest detail and plays the most influential role in RUSLE.

Rainfall Erosivity (R-factor)

Rainfall is a main driver of soil erosion by water. The relation between rainfall and sediment yield is given by the rainfall erosivity. The R-factor is the sum of all erosive events during a 1-year period.

Cover and Management (C-factor)

One of the important and dynamic elements in the RUSLE model is the cover and management factor (C-factor), which represents effects of vegetation canopy and ground cover in reducing soil loss.

Tags: Erosion, Hillslope Erosion
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Richmond and Wilsons Rivers flood warning improvement Recommendations Report

This document summarises a literature review and gap analysis of the existing flood warning network to identify recommendations related to the improvement of flood warning arrangements within the Richmond and Wilsons River Basins. The aim of this report is to establish a prioritised list of recommended work packages that will improve flood warning within the study area. The work packages may include the installation or upgrade of existing Bureau of Meteorology's Service Level Specification (SLS) rainfall/water level gauges, the integration of non-SLS rainfall/water level gauges into the Bureau’s flood warning network, and the setup of flood forecast locations.

Tags: Flood forecast, Flood warning, Gauges, Improvement, Richmond River, Wilsons River, flood warning system
Organization: NSW Department of Climate Change, Energy, the Environment and Water
State Water Quality Assessment and Monitoring Program (SWAMP)

The State Water Quality Assessment and Monitoring Program (SWAMP) is a state wide project responsible for collecting, analysing and reporting the ambient water quality condition of rivers in NSW. 

SWAMP collects water quality data monthly to: 
<ul>
<li>

assess ambient river water quality in terms of electrical conductivity, temperature, turbidity, total suspended solids, pH, dissolved oxygen, phosphorus and nitrogen at selected sites across NSW 
</li>
<li>

provide high quality, long term, statistically robust data to enable condition and trend reporting 
</li>
<li>

provide data to enable measures of compliance with state and national guidelines and standards, and 
</li>
<li>

provide a framework of river water quality monitoring across NSW upon which other programs can build. 
</li>
</ul>



Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the <a href="https://water-hub.seed.nsw.gov.au/thread/search">NSW Water Hub which has an online forum</a> you can join.

Tags: DCCEEW - Water, DCCEEW - Water Science
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Buses - On-time Running

This dataset provides the Sydney Metropolitan and Outer Metropolitan Bus Service Contract on time running results from 2010 onward.

Until June 2017, Transport for NSW monitored on-time running through monthly surveys conducted over a sample period at the start of the trip.

As of July 2017, PTIPS replaced manual surveys as the source of information for these on-time running results.

The definition of "on time" is provided in the bus contracts which can be found here: <a href="https://www.transport.nsw.gov.au/operations/buses-and-coaches/bus-contracts">https://www.transport.nsw.gov.au/operations/buses-and-coaches/bus-contracts</a>

Tags: bus, bus contract, bus running results, on time running surveys, on-time, performance
Organization: Transport for NSW
Publishing standards—data.qld.gov.au

A set of guides and standards for Queensland Government open data portal (https://www.data.qld.gov.au) publishers. This includes portal process guides and relevant open data file creation information.

Tags: Annual Reporting, Contract Disclosure, De-identification, Metadata, On-time Payment, Privacy, Publish Access, Publishing, Publishing Guide, Publishing Standards, Risk, User Guide
Organization: Open Data Administration (data requests)
Resource authority holders that have changed their name

<a href="https://www.business.qld.gov.au/industries/mining-energy-water/resources/landholders/searches">Resource authorities</a>  that changed their name in Queensland.

Reports are published where data is available for the relevant period. If a change or approval has not occurred during a period, there will be no report available.

Tags: MyMinesOnline, exploration, mines, mining, resource authorities
Organization: Natural Resources and Mines, Manufacturing and Regional and Rural Development
SoE2020: Livestock and meat production

Total Queensland beef and sheep and lamb numbers decreased by nearly 7% from 2013&ndash;14 to 2017&ndash;18, whereas pig numbers increased 11% over the same period. The total gross value of production (GVP) for beef increased by nearly 40%, the sheep and lamb GVP decreased by 82% whereas for pigs the GVP decreased by 5%. Egg production increased by 4% during this period resulting in a total GVP increase of 18%. Despite wool production declining by 23%, the GVP increased by 22%. During this same period, milk production declined by 9% however the GVP remained steady.

Tags: Liveability, Rural, State of the environment
Organization: Environment, Tourism, Science and Innovation