AndreaBozzo/ceres-open-data-index huggingface dataset:
Water Modelling-Modelled Data-Regional Water Strategy-Macleay

The datasets provided contain modelled daily streamflow, and storage volume data for several NSW river systems. These data were generated by simulating baseline river system models used to inform the development of Regional Water Strategies. The models were simulated for three different climate scenarios: instrumental climate (about 130 years), paleo-stochastic climate (about 10,000 years), and paleo-stochastic climate with climate projection based on NARCliM 1.0 (about 10,000 years).

Each modelled output is published as a ZIP file which contains two pdf files (.pdf) and three time series data (.csv).

For more information on the NSW regional water strategies program, please refer to the following website. https://www.dpie.nsw.gov.au/water/our-work/plans-and-strategies/regional-water-strategies



The naming structure of the individual zip files is "Watercourse at Gauge name, followed by Gauge number".

1) Styx River at Jeogla Gauge 206001_NARCliM.zip

2) Chandler River at Chandler Gauge 206003_NARCliM.zip

3) Gara River at Gara Gauge 206004_NARCliM.zip

4) Commissioners Waters at Tiverton_Eathorpe_Gauge 206008_NARCliM.zip

5) Tia River at Tia Gauge 206009_NARCliM.zip

6) Macleay River at Turners Flat Gauge 206011_NARCliM.zip

7) Wollomombi River at Coninside Gauge 206014_NARCliM.zip

8) Chandler River at Euringilly_Fassifern_Gauge 206015_NARCliM.zip

9) Serpentine Creek at Causeway_Hatchery_Gauge 206017_NARCliM.zip

10) Styx River at Serpentine_Hyatts Flat_Gauge 206020_NARCliM.zip

11) Macleay River at Kempsey Rail Bridge Gauge 206022_NARCliM.zip

12) Macleay River at Downstream Georges River Junction Gauge 206024_NARCliM.zip

13) Dumaresq Creek at Stephens Bridge Gauge 206032_NARCliM.zip

14) Apsley River at Apsley Gorge Gauge 206033_NARCliM.zip

15) Gara River at Willow Glen Gauge 206035_NARCliM.zip

16) Dumaresq Creek downstream Dumaresq Dam Gauge 206037_NARCliM.zip

17) Urandangie Creek at Urandangie Gauge 206038_NARCliM.zip

18) Gara River downstream Malpas Dam Gauge 206039_NARCliM.zip



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 Analytics, RWS, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Nundle and Woolomin FS and FRMSP - Report

Complete report

Tags: Back Creek, Bowling Alley Point, Burrows Creek, Canns Creek, Chaffey Dam, Copes Creek, Duncans Creek, Hydes Creek, Junction Creek, Nundle Creek, Oakenville Creek, Peel River, Taroona, Wombramurra Creek
Organization: Tamworth Regional Council
Water Modelling-Modelled Data

Time series of modelled daily flow rates in megalitres per day across the NSW river systems. Individual data sets are for each available river gauge data sets are attained via best available at the time of publishing hydrologic model/s and over the historic climate period (usually from early to mid-1890s to a water year previous to the date of publishing). Specific scenario data sets are expected to be updated annually and subject to quality requirements may be used in relevant studies.

The naming structure of the individual files is "Gauge number_watercourse@Gauge name".

QA procedure as described in the "Quality control for the modelled streamflow data.pdf" has been applied to each dataset. 

Tags: DCCEEW - Water, DCCEEW - Water Analytics, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Full-time equivalent (FTE) enrolments by individual NSW government schools, grade and calendar year (2010-2024)

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

Data is derived from the National Schools Statistics Collection (NSSC), which is managed by the Australian Bureau of Statistics. 
</li>
<li>

Enrolments are full-time equivalent (FTE). For the purposes of reporting, only students in Year 11 and 12 may be part-time. Hence there is no difference between "full-time" and "full-time equivalent" enrolments for K-10 or ungraded in NSW government schools.                
</li>
<li>

Ungraded students are students who are not assigned to a particular grade. These students are often enrolled in support classes or schools for specific purposes (SSPs). From 2020, only support students in SSPs are recorded as ungraded.                               
</li>
<li>

If a school has a total FTE enrolment greater than 5 for all its grades, then the grade-level FTE data is published. Data is suppressed where enrolments are 5 or fewer.
</li>
<li>

If a school has a total FTE enrolment equal to or less than 5, the grade-level FTE data is suppressed and only the school level FTE data is published. Where only one grade at a school had a value of &lt;=5, the ungraded cell has also been suppressed for privacy reasons. Where there are no ungraded students, the grade with the next lowest total is also suppressed.
</li>
</ul>

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

Tags: educational-leadership, government-schools, level-school
Organization: NSW Department of Education
Broadscale Microplastic Assessment Dashboard

This dashboard presents the results of the Broadscale Microplastic Assessment, the first statewide evaluation of microplastic contamination across 120 estuaries in New South Wales. It provides an interactive platform to explore microplastic concentrations, contamination grades, spatial distribution patterns, and the key catchment-scale drivers influencing microplastic loads.

The Broadscale Microplastic Assessment was designed to establish a baseline understanding of microplastic contamination in estuarine environments across NSW. By combining standardised field sampling with laboratory analysis, the project delivers a consistent, comparable dataset that enables assessment of contamination at local, regional, and statewide scales.

This dashboard supports evidence-based decision-making by councils, government agencies, and community stakeholders. It enables users to identify contamination hotspots, compare estuaries, examine potential sources and drivers, and prioritise areas for management action and future monitoring.

The assessment was undertaken by the Water, Wetlands &amp; Coastal Science team within the NSW Department of Climate Change, Energy, the Environment and Water. The initiative was commissioned by the NSW Environment Protection Authority under the NSW Government’s Waste and Sustainable Materials Strategy and was part-funded through the Marine Estate Management Strategy.

Tags: Estuarine, Microplastic, Pollution
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Water Models-Without Development-Murrumbidgee

The Murrumbidgee River 'without development' model is a hydrological model of the Murrumbidgee River system that does not represent river system infrastructure, extractions or water management rules.

Note: Source software (available from <a href="https://ewater.org.au/products/ewater-source/">ewater.org.au</a>) is required to view and run the model(s) within.  



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 Analytics, SURFACE WATER, modelling
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Climate Vulnerability Assessment: Dryland Canola

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>dryland canola</strong> model in the Broadacre Cropping 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, cropping, planning
Organization: Department of Primary Industries and Regional Development (DPIRD)
Climate Vulnerability Assessment: Parthenium Weed

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>parthenium weed</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, invasive weed, invasive weeds, planning, weeds
Organization: Department of Primary Industries and Regional Development (DPIRD)
Suburb LGA Concordance Table Public

THIS ITEM HAS BEEN DEPRECATED. PLEASE USE UPDATED ITEM: <a href="https://portal.spatial.nsw.gov.au/client/services?id=15ab940993564691b62569b6bbf9c8c5">NSW Boundary Concordance - Spatial Collaboration Portal</a>



<a href="https://portal.spatial.nsw.gov.au/static/exportcontent.html?featureservername=Suburb_LGA_Concordance_Table_Public&amp;title=Suburb LGA Concordance Table Public&amp;url=https://portal.data.nsw.gov.au/arcgis/rest/services/Hosted/Suburb_LGA_Concordance_Table_Public/FeatureServer">Export Data</a> <a href="https://portal.data.nsw.gov.au/arcgis/rest/services/Hosted/Suburb_LGA_Concordance_Table_Public/FeatureServer">Access API</a>

The table shows number of LGAs within suburb boundary. The result is indicative.

There are few caveats:
<ol><li>There are lot of small areas. These are slithers. It can occur where boundaries overlap or do not align.</li><li>Depending on the software engine, it is possible to get different result for the same operation</li></ol>

Source: 

<a href="https://portal.spatial.nsw.gov.au/server/rest/services/NSW_Administrative_Boundaries_Theme/FeatureServer">https://portal.spatial.nsw.gov.au/server/rest/services/NSW_Administrative_Boundaries_Theme/FeatureServer</a>




TypeHosted                                                                       Update FrequencyMonthlyContact DetailsContact us via the <a href="https://aus01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fspatialservices.createsend1.com%2Ft%2Ft-l-mhkddut-l-y%2F&amp;data=04%7C01%7CKate.Wilkinson%40customerservice.nsw.gov.au%7Cfacc21fd20ad4d8bc46808d918f12734%7C1ef97a68e8ab44eda16db579fe2d7cd8%7C0%7C0%7C637568246339024087%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&amp;sdata=lCsQT7upTxYnH3%2FwHLqpPWtfLT2%2BViKVsy%2FQijmUCEk%3D&amp;reserved=0">Spatial Services Customer Hub</a>Relationship to Themes and Datasets Accuracy Standards and Specifications AggregatorsSpatial ServiceDistributorsSpatial ServiceDataset Producers and ContributorsSpatial Service



Tags: LGA, Suburb, concordance
Organization: Spatial Services (DCS)
Secondary education schools by selective, specialist and co-educational status (2011-2024)

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

Includes secondary schools and central/community schools. 
</li>
<li>

Secondary schools generally enrol students in Years 7 to 12, although some secondary schools only enrol students in the senior years, i.e. Years 11 to 12 or the junior years, i.e. Years 7 to 10.
</li>
<li>

The Conservatorium High School is included with performing arts schools.
</li>
<li>

Aurora College (NSW Virtual Selective High School) is included with fully selective schools.
</li>
<li>

The number of schools is recorded mid-year.
</li>
<li>

Intensive English only covers standalone Intensive English schools and does not include schools with an attached Intensive English Centre.
</li>
<li>

Selective high schools provide a learning environment designed for academically gifted and high potential students.
</li>
<li>

Reporting by non-binary gender is not possible due to system limitations.
</li>
</ul>

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

Tags: educational-leadership, level-state, secondary-school
Organization: NSW Department of Education
Water Modelling-Modelled Data-Regional Water Strategy-Richmond

The datasets provided contain modelled daily streamflow, and storage volume data for several NSW river systems. These data were generated by simulating baseline river system models used to inform the development of Regional Water Strategies. The models were simulated for three different climate scenarios: instrumental climate (about 130 years), paleo-stochastic climate (about 10,000 years), and paleo-stochastic climate with climate projection based on NARCliM 1.0 (about 10,000 years).

Each modelled output is published as a ZIP file which contains two pdf files (.pdf) and three time series data (.csv).

For more information on the NSW regional water strategies program, please refer to the following website. https://www.dpie.nsw.gov.au/water/our-work/plans-and-strategies/regional-water-strategies



The naming structure of the individual zip files is "Watercourse at Gauge name, followed by Gauge number".

1) Coopers Creek at Repentance Gauge 203002_NARCliM.zip

2) Richmond River at Casino Gauge 203004_NARCliM.zip

3) Richmond River at Wiangaree Gauge 203005_NARCliM.zip

4) Wilsons River at Eltham Gauge 203014_NARCliM.zip

5) Goolmangar Creek at Coffee Camp (Clapins No. 2) Gauge 203015_NARCliM.zip

6) Emigrant Creek at Knockrow No. 2 Gauge 203016_NARCliM.zip

7) Coopers Creek at Ewing Bridge Gauge 203024_NARCliM.zip

8) Eden Creek at Doubtful Gauge 203034_NARCliM.zip

9) Rocky Creek at Gibbergunyah Range Road Gauge 203036_NARCliM.zip

10) Ironpot Creek at Toonumbar Dam-Storage Gauge 203042_NARCliM.zip

11) Richmond River at Coraki Gauge 203403_NARCliM.zip

12) Richmond River at Bungawalbyn Gauge 203450_NARCliM.zip

13) Richmond River at Kyogle Gauge 203900_NARCliM.zip



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 Analytics, RWS, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Wolumba Catchment Flood Study

Study Area

The study area is located in south west Sydney and covers the northern part of the suburb of Chester
Hill. It is an urban catchment that drains through a stormwater pipe network in a north-easterly
direction to the Parramatta Council Local Government Area (LGA). The Wolumba catchment is one
of the sub catchments of Duck River, and is wholly within the north western section of Bankstown City
Council (LGA).

Outcomes from the Study

The main outcomes from this study include:
<ul>
<li>A database of all Council drainage assets within the study area;</li>
<li>Establishment of a computer model capable of assessing flood behaviour;</li>
<li>information on flood behaviour under existing catchment conditions;</li>
<li>Predicted change in flood levels due to the potential impacts of climate change; and</li>
<li>A model that can be used to assess flood mitigation options and future development proposals.</li>
</ul>

Database of Drainage Assets

All drainage asset data collected by Council for the study has been incorporated into a GIS database.

This allows the data to be spatially represented across the study area and easily retrieved as
required. Information in the database includes data for some 160 stormwater pits and 220 stormwater
drainage pipes.

Other catchment data, including aerial photography, property cadastre, building footprints and the
terrain surface (based on ALS survey) is also incorporated into a GIS database.

Computer Modelling

A numerical computer model was developed for the catchment to simulate flood behaviour, using the
software TUFLOW. Surface flows are represented in the model through a two-dimensional grid
covering the entire study area. The stormwater pit and pipe network is included as one-dimensional
elements within this grid. Full details of the modelling approach, modelling parameters and other
assumptions are outlined in the Wolumba Catchment Flood Modelling Report, which is included as
Appendix B.

Existing Flood Behaviour

Design flood behaviour has been computed for a range of floods, ranging from relatively frequent
events to more extreme floods.

The model produces a grid of results over the study area providing data on flood levels, flood depths
and flood velocities. Flood level contours have also been prepared showing contours of flood heights
throughout the study area. This data is provided digitally and can be overlaid on base mapping such
as aerial photos and cadastral plans showing property boundaries.

All flood model results have been provided to Council for incorporation into their GIS database. Much
of this information is also included as A4 sized plans included in Appendix B.

It is understood that once the Flood Study has been adopted by Council, the GIS information
resulting from this Flood Study will be used for floodplain management purposes, including
assessment of flood-related development constraints on properties. Potential flood mitigation options
will be assessed in the current Floodplain Risk Management Study phase of the floodplain risk
management process.

Tags: Wolumla, hydraulic model
Organization: Canterbury-Bankstown Council
Leeton Shire Floodplain Risk Management Study and Plan - Final Report

The Leeton Shire Floodplain Risk Management Study (FRMS) has been undertaken subsequent to the Leeton Shire Flood Study (Engeny, 2015). A key objective of the Leeton Shire FRMS was to develop a detailed understanding of the flood risks and develop a Floodplain Risk Management Plan (FRMP or Plan) that outlines the proposed management measures to address existing, future and continuing/residual risk. The Study Area for this project primarily focused on the two (2) major urban centres of Leeton and Yanco in the Leeton Shire LGA. 

Tags: Floodplain Risk Management Study and Plan, Leeton, Yanco
Organization: Leeton Shire Council