AndreaBozzo/ceres-open-data-index huggingface dataset:
Climate Vulnerability Assessment: Serrated Tussock

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>serrated tussock</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 season, 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 weeds, livestock, planning
Organization: Department of Primary Industries and Regional Development (DPIRD)
Climate Vulnerability Assessment: Verticillium Wilt

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>Verticillium wilt</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, cropping, planning
Organization: Department of Primary Industries and Regional Development (DPIRD)
Water Modelling Stochastic Climate

<a href="https://portal.spatial.nsw.gov.au/static/exportcontent.html?featureservername=Water_Modelling_Stochastic_Climate&amp;title=Water_Modelling_Stochastic_Climate&amp;wgs84Eqv=GDA94&amp;url=https://spatialportalarcgis.dpie.nsw.gov.au/sarcgis/rest/services/Water/Water_Modelling_Stochastic_Climate/MapServer">Export Data</a>
Previous SEED service moved from 10.7 to 11. 1 Portal. Waiting for Metadata from DPIE.
<a href="https://spatialportalarcgis.dpie.nsw.gov.au/sarcgis/rest/services/Water/Water_Modelling_Stochastic_Climate/MapServer">Access API</a>
Metadata <a href="https://portal.spatial.nsw.gov.au/portal/home/item.html?id=a13166e560804ce99665a294468023d4">Portal Metadata Information</a>
Content TitleWater Modelling Stochastic ClimateContent TypeOtherDescriptionData was updated by FME at 12:52 on 12/07/2024Initial Publication Date28/08/2024Data Currency28/08/2024Data Update Frequency&nbsp;APIContent Source&nbsp;APIFile TypeImagery LayerAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)OtherWGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianNSW Department of Climate Change, Energy, Environment and WaterPoint of ContactNSW Department of Climate Change, Energy, Environment and WaterData AggregatorData DistributorAdditional Supporting InformationTRIM Number

Tags: Water
Organization: Spatial Services (DCS)
Full-time equivalent (FTE) enrolments of Aboriginal students by SA4 groupings and grade groups (2014-2024)

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

Data is collected mid-year for government schools only.
</li>
<li>

From 2020, Primary and Secondary Support students are included in their underlying grade.
</li>
<li>

Since 2014, the department has used these 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. Previous publications compared enrolments in DEC regions.
</li>
<li>

Students in Distance Education and Opportunity Classes (OC) are included with their appropriate grade levels.
</li>
<li>

Aggregate geographical data are reported by groupings of ABS statistical area 4 (refer to the maps in the Statistical Bulletin Explanatory Notes).
</li>
<li>

Students are counted as Aboriginal or Torres Strait Islander if they are identified and accepted as such by the community with which they are associated, and they identify themselves on the school enrolment form.
</li>
<li>

As of 2022, Norfolk Island (previously included in NSW total) is no longer under the jurisdiction of NSW, and therefore not included in the figures.
</li>
</ul>

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

Tags: aboriginal-education, level-SA4, level-region, primary-school, secondary-school, student-administration-and-wellbeing
Organization: NSW Department of Education
NSW River Styles

<a href="https://portal.spatial.nsw.gov.au/static/exportcontent.html?featureservername=NSW_River_Styles&amp;title=NSW River Styles&amp;wgs84Eqv=GDA94&amp;url=https://spatialportalarcgis.dpie.nsw.gov.au/sarcgis/rest/services/Water/NSW_River_Styles/MapServer">Export Data</a>
Previous SEED service moved from 10.7 to 11. 1 Portal. Waiting for Metadata from DPIE.
<a href="https://spatialportalarcgis.dpie.nsw.gov.au/sarcgis/rest/services/Water/NSW_River_Styles/MapServer">Access API</a>
Metadata <a href="https://portal.spatial.nsw.gov.au/portal/home/item.html?id=a13166e560804ce99665a294468023d4">Portal Metadata Information</a>
Content TitleNSW River StylesContent TypeOtherDescriptionNSW River StylesInitial Publication Date28/08/2024Data Currency28/08/2024Data Update Frequency&nbsp;APIContent Source&nbsp;APIFile TypeImagery LayerAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)OtherWGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianNSW Department of Climate Change, Energy, Environment and WaterPoint of ContactNSW Department of Climate Change, Energy, Environment and WaterData AggregatorData DistributorAdditional Supporting InformationTRIM Number

Tags: Water
Organization: Spatial Services (DCS)
Water Modelling-Modelled Data-Regional Water Strategy-Tweed

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) Oxley River at Eungella Gauge 201001_NARCliM.zip

2) Rous River at Boat Harbour No1 Gauge 201002_NARCliM.zip

3) Tweed River at Braeside Gauge 201003_NARCliM.zip

4) Rous River at Boat Harbour No3 Gauge 201005_NARCliM.zip

5) Oxley River at Tyalgum Gauge 201006_NARCliM.zip

6) Hopping Dick Creek at Limpinwood Gauge 201007_NARCliM.zip

7) Rous River at Chillingham Gauge 201008_NARCliM.zip

8) Rolands Creek at Uki Gauge 201009_NARCliM.zip

9) Byrrill Creek at Glen Warning Gauge 201010_NARCliM.zip

10) Doon Doon Creek at Lower Doon Doon Gauge 201011_NARCliM.zip

11) Cobaki Creek at Cobaki Gauge 201012_NARCliM.zip

12) Doon Doon Creek downstream Clarrie Hall Dam Gauge 201013_NARCliM.zip

13) Tweed River downstream Palmers Road Crossing Gauge 201015_NARCliM.zip

14) Tweed River at Uki Gauge 201900_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
Enforcement of compulsory school attendance (2011-2024)

Under Section 22 of the Education Act 1990, parents have a legal duty to ensure their school-aged children attend school. Where absenteeism is persistent and an attendance improvement plan has been unsuccessful, and the parents have not meaningfully engaged with the plan, the matter is referred for consideration of legal action.

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

Each school has a discipline policy which sets out clear expectations for regular student attendance and consequences of truancy.
</li>
<li>

Where an attendance improvement plan has been unsuccessful in resolving the matter, and the parents have not meaningfully engaged with the plan, the matter is referred for consideration of legal action. 
</li>
<li>

Proceedings are typically withdrawn when attendance has improved sufficiently to justify withdrawal, or because it appeared likely that a defence could be established (e.g. illness or disobedience).
</li>
<li>

Matters not commenced occurred for a range of reasons including not being able to serve court papers, living arrangements for child changing, Family and Community Services removing children, improvement in attendance, and the student moving out of the jurisdiction.
</li>
<li>

These figures were prepared from administrative systems that were developed to internally track the progress of cases rather than to report externally. There are no statistical quality assurance measures applied to these figures, and there may be anomalies or errors due to the significant number of users who access the system. The data is correct to the best of the department’s knowledge and understanding.
</li>
<li>

Refer to the individual publications for further information and policy context.
</li>
</ul>

<strong>Data Source:</strong>
<ul>
<li>Legal Services Directorate. NSW Department of Education.</li>
</ul>

Tags: government-schools, level-state, student-administration-and-wellbeing
Organization: NSW Department of Education
Rose Bay Floodplain Risk Management Study and Plan

As described in the Floodplain Development Manual (Reference 1), the Floodplain Risk
Management Process entails four sequential stages:
<ul>
<li>Stage 1: Flood Study</li>
<li>Stage 2: Floodplain Risk Management Study</li>
<li>Stage 3: Floodplain Risk Management Plan</li>
<li>Stage 4: Implementation of the Plan</li>
</ul>

The Rose Bay Catchment Floodplain Risk Management Study constitutes the second stage in
the process. The Flood Study stage was completed in September 2010 with publication of the
Rose Bay Catchment Flood Study (Reference 2). A combination of hydrologic and hydraulic
models was used in that study to determine design flood levels for the Rose Bay catchment.

This study superseded a previous Catchment Management Study (Reference 3) completed in
1991.

A rainfall-runoff approach was adopted due to the absence of long term
historical flood data. This approach involved setting up a DRAINS hydrologic and hydraulic
computer model that simulated flow both in the pipe system and as overland through private
property and along roads. The DRAINS model covered the entire catchment. A two-dimensional
(2D) SOBEK computer model was established in the lower reaches to convert the upstream
flows obtained from DRAINS into flood levels and velocities.

Design rainfall data obtained from
Woollahra Council and design temporal patterns from Australian Rainfall and Runoff (Reference
4) were obtained and used in a DRAINS model to determine design event flows. The SOBEK
model was then used to determine design flood levels in the lower catchment. The downstream
regions of the Rose Bay catchment were predominately influenced by catchment flows and only
slightly by elevated water levels in Rose Bay. Sensitivity analyses were undertaken on the
DRAINS and SOBEK model results.

Tags: Bellevue Hill, Rose Bay, Vaucluse, Woollahra
Organization: Woollahra Municipal Council
Climate Vulnerability Assessment: Mixed Cropping Zone Grazing System

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>mixed cropping zone grazing system</strong> model in the Extensive Livestock 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, climate change, climate vulnerability assessment, grazing systems, livestock, planning
Organization: Department of Primary Industries and Regional Development (DPIRD)
LGA Area by State Electoral District 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=LGA_Area_by_State_Electoral_District_Public&amp;title=LGA Area by State Electoral District Public&amp;wgs84Eqv=GDA94&amp;url=https://portal.data.nsw.gov.au/arcgis/rest/services/Hosted/LGA_Area_by_State_Electoral_District_Public/FeatureServer">Export Data</a><a href="https://portal.data.nsw.gov.au/arcgis/rest/services/Hosted/LGA_Area_by_State_Electoral_District_Public/FeatureServer">Access API</a>




The dataset shows number of LGAs within state electoral district boundary. Percentage attribute indicates the percentage by area of the LGA within each State Electoral Division. 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: <ul><li>https://portal.spatial.nsw.gov.au/server/rest/services/NSW_Administrative_Boundaries_Theme/FeatureServer</li></ul>
Metadata <a href="https://portal.spatial.nsw.gov.au/portal/home/item.html?id=a13166e560804ce99665a294468023d4">Portal Metadata Information</a>
Content TitleLGA Area by State Electoral District PublicContent TypeHosted Feature LayerDescriptionThe dataset shows number of LGAs within state electoral district boundary. Percentage attribute indicates the percentage by area of the LGA within each State Electoral Division.Initial Publication Date29/11/2021Data Currency06/02/2024Data Update FrequencyOtherContent SourceOtherFile TypeWeb Feature ServiceAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)WGS84Spatial Reference System (web service)EPSG:4326WGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianNSW Spatial ServicesPoint of ContactNSW Spatial ServicesData AggregatorData DistributorAdditional Supporting InformationTRIM Number

Tags: Concordance, LGA, State Electoral District
Organization: Spatial Services (DCS)
Wagga Wagga Revised Murrumbidgee River Floodplain Risk Management Study and Plan - Report

Volume 1: Report

Volume 2: Figures and Appendices

Tags: Braehour Gobbagombalin, Eunony Road, Great Dividing Range, Gumly Gumly, Hampden Bridge, Kallewanda, Malebo Range, Murrumbidgee River, Riverina Plain, Sturt Highway, Wagga Wagga, Wiradjuri Bridge
Organization: Wagga Wagga City Council
Climate Vulnerability Assessment: Irrigated Cotton

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>irrigated cotton</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)