AndreaBozzo/ceres-open-data-index huggingface dataset:
High Ecological Value Waterways and Water Dependent Ecosystems - RYDE LGA

A map of the high ecological value waterways and water dependent ecosystems for the Ryde LGA was prepared by the Science Division of the Department of Planning, Industry and Environment, with input layers and support for the map provided by the former NSW Department of Primary Industries-Fisheries and Department of Industry-Crown Lands and Water. The basis for the map arises from Science Division inputs to strategic planning processes. For example, the map has been included in the Land Use and Infrastructure Implementation Plans for the Wilton (Wilton2040, page 22) and Greater Macarthur (interim plan, page 36) Priority Growth Areas. This map was specifically developed for input to Local Government Local Strategic Planning Statements to support Council’s delivery of Strategy 25.1 of the Greater Sydney Region Plan.
The map shows areas where waterways and water dependent ecosystems are defined as high ecological value, based on definitions, guidelines and policies under the Environment Protection and Biodiversity Conservation Act 1999, Biodiversity Conservation Act 2016, Fisheries Management Act 1994 and Water Management Act 2000. Water dependent ecosystems are defined as wetlands, and flora and fauna that rely on water sources (including groundwater).  The map represents an overlay of 39 indicators being used by the State Government to define high value, however, not all 39 indicators will be present in any one LGA (see Attachment 1 below). For example, there are 17 indicators making up the map for the Ryde LGA. It should also be noted that the individual indicators have not been ground-truthed and it is recommended that field assessments and/or a comparison to local mapping be undertaken prior to any decisions being made.
The map was created by initially placing a 1 ha (to correspond with a lot size) hexagon grid over the LGA, and attributing the grid with the area, length and/or frequency of occurrence of high value water dependent ecosystems. The purpose of the map is to identify strategic planning priorities for protecting and improving the health of high value waterways and water dependent ecosystems in the LGA. Once identified, the priorities can be used as a basis for identifying aquatic biodiversity refugia, stream rehabilitation efforts and setting management targets and/or land use planning controls that would protect or improve the health of waterways and water dependent ecosystems so they provide the essential services and functions expected of a cool blue-green corridor.

Tags: Coastal Wetlands, Groundwater, HEV_water, Riparian Lands Watercourses
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Central Coast Council

Export DataAccess APIMetadata Portal Metadata InformationContent TitleCentral Coast CouncilContent TypeHosted Feature LayerDescriptionCentral Coast Council Water Level and Rainfall Gauges for flood warning and responseInitial Publication Date24/07/2024Data Currency29/07/2024Data Update FrequencyOtherContent SourceData provider filesFile TypeCSV (*.csv)AttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)GDA2020Spatial Reference System (web service)EPSG:4326WGS84 Equivalent ToGDA2020Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianCentral Coast CouncilPoint of Contactask@centralcoast.nsw.gov.auData AggregatorData DistributorAdditional Supporting InformationTRIM Number

Tags: Gauge, Rainfall, Water Level
Organization: Spatial Services (DCS)
Bullawa Creek State Conservation Area Vegetation Mapping. VIS_ID 3989

Vegetation survey and mapping of Bullawa Creek State Conservation Area in 2008, commissioned by NPWS Narrabri Region. Three communities were determined based on floristic analysis of 20 x 20 m survey sites, and described using dominant species and structural characteristics. Vegetation communities were mapped using ground truthing, position in landscape and stereo interpretation of aerial photos captured at 1:50,000. Lineage and attribution accuracy are unknown. VIS_ID 3989

Tags: PCT, Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Soil Landscapes of the Baan Baa 1:100,000 Sheet, Liverpool Plains portion

This map is one of a series of soil landscape maps that are intended for all of eastern and central NSW, based on standard 1:100,000 or 1:250,000 topographic sheets. However unlike the other products in the series, this one only covers the south-eastern third of the Baan Baa 1:100,000 sheet.  The map provides an inventory of soil and landscape properties of the area and identifies major soil and landscape qualities and constraints. It integrates soil and topographic features into single units with relatively uniform land management requirements. Soils are described in terms of soil materials in addition to the Australian Soil Classification and the Great Soil Group systems.
Related Datasets: The dataset area is also covered by the mapping of the Soil and Land Resources of the Liverpool Plains Catchment.
Online Maps: This and related datasets can be viewed using eSPADE (NSW’s soil spatial viewer), which contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the SEED Map; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area.
Reference: Pengelly E.W., 2010, Soil Landscapes of the Baan Baa 1:100,000 Sheet (Liverpool Plains portion) map and report,  NSW Department of Environment, Climate Change and Water, Sydney.

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Paroo-Darling National Park (Wilga) Vegetation 2006. VIS_ID 3967

Vegetation mapping undertaken for the Wilga area of Paroo Darling National Park at 1:50,000 scale. Eighteen vegetation communities were identified and mapped. 
Associated Report:
The Vegetation of the Mount Murchison and Wilga areas, Paroo Darling National Park, Western NSW. 
Prepared for NSW NPWS by Centre for Environmental Management, University of Ballarat, July 2006
VIS_ID 3967

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Incident reports in NSW government schools (2012-2023)

Our schools are among the safest places in our community
for children and young people. However, from time to time,
incidents do affect schools just as they affect communities and
society as a whole. This publication provides information on incident reports in NSW government schools. Publishing these reports informs the community about incidents in public schools and how the department supports schools through incidents while still protecting the identity of students and staff.
Data Notes:


Following an incident, the Principal or School Executive is required to notify the department’s Incident Report and Support Hotline which includes seconded NSW Police officers so support and advice can be provided to assist the school with the management of the incident. All criminal related incidents are reviewed by the seconded police officers in line with legislative requirements. In some circumstances the Principal or School Executive may also contact NSW Police directly if an urgent response is required.


References have been removed which could expose a person to a risk of harm or which reveals the identities, or the personal/health information of students, school staff and community members. Information that may prejudice an investigation has also been removed.


The categories of incidents that are reported by schools include drugs, technology, violence, weapons and welfare.


Data is published biannually in January and October.


More information:


Refer to the individual publications for further information and policy context.


NSW Bureau of Crime Statistics and Research (BOCSAR) crime maps


Data Source:

People Group. NSW Department of Education.


Tags: government-schools, level-region, primary-school, secondary-school, student-administration-and-wellbeing
Organization: NSW Department of Education
Bingara State Conservation Area Molroy Section Vegetation 2009 VIS_ID 4713

Bingara CCA Zone 3 State Conservation Area Molroy Section vegetation mapping was undertaken by Dr John T. Hunter in October 2009 by contract for the NPWS Northern Tableland Region.  (The Derra Derra Section was completed in July 2009).  The Molroy Section is approximately 1km north of Bingara.
The vegetation of the Molroy section of Bingara State Conservation Area described and mapped (scale 1:50 000). Five communities are defined based on classification (Kulczynski association). These five communities were mapped based on ground truthing, air photo interpretation and landform.
VIS_ID 4713

Tags: Native Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Historical Fire Extent and Severity Mapping (FESM) - Sturt Region

Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, DPE Remote Sensing &amp; Regulatory Mapping team has developed a semi-automated approach to mapping fire extent and severity through a machine learning framework based on satellite imagery. 
The method uses standardised classes to allow comparison of different fires across the landscape. The FESM severity classes include: unburnt, low severity (burnt understory, unburnt canopy), moderate severity (partial canopy scorch), high severity (complete canopy scorch, partial canopy consumption), extreme (full canopy consumption). 
Here we provide historical severity mapping for Sturt National Park region from 1989/90 to 2015/16, which is based on Landsat satellite imagery. From 2016/17 to the current fire year, this region is covered in the statewide FESM data, which is based on Sentinel 2 satellite imagery.

Tags: Fire Severity, Hazard Reduction Burns, Landsat, Remote Sensing, Wildfires
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Walcha Road Segment 3D May 2024

Access APIMetadata Portal Metadata InformationContent TitleWalcha Road Segment 3D May 2024Content TypeScene Layer/Scene Layer PackageDescriptionNSW Transport Theme Road Segment is a line feature class representing a section of road having common attributes and terminating at its physical and or at an intersection with another road at the same grade (same level). Its position is determined by the methodology used to input into the Topographic Database. Common methods of input include GPS, traced from the cadastre or traced from an orthorectified image.Data included in Road Segments includes:Vehicular TrackPathwayContinuity LineStandard Road&nbsp;On-off RampDual CarriagewayInitial Publication Date01/05/2024Data Currency01/05/2024Data Update FrequencyOtherContent SourceData provider filesFile TypeScene Layer Package (*.slpk)AttributionData Theme, Classification or Relationship to other DatasetsTransport Theme of the NSW Foundation Spatial Data FrameworkAccuracyThe dataset maintains a positional relationship to, and alignment with, the Lot and Property digital datasets. The Lot and Property data was captured by digitising the best available cadastral mapping at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at the map scale for 90% of the well-defined points. That is 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:00000 = 50m. A program of positional upgrade (accuracy improvement) is currently underway. Feature heights have been derived from LiDAR elevation sources including 1m and 2m DEMS. The data used to create the DEMs have an accuracy of 0.3m (95% Confidence Interval) vertical and 0.8m (95% Confidence Interval) horizontal. The features vertical accuracy is also a function of its horizon.Spatial Reference System (dataset)WGS84Spatial Reference System (web service)EPSG:4326WGS84 Equivalent ToGDA2020Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianSpatial Services | Department of Customer ServicesPoint of ContactSS-SDS@customerservice.nsw.gov.auData AggregatorSpatial Services | Department of Customer ServicesData DistributorSpatial Services | Department of Customer ServicesAdditional Supporting InformationOpen Geospatial Consortium (OGC) implemented and compatible for the consumption by common GIS platforms. Available as either cache or non-cache, depending on client use or requirement.TRIM Number

Tags: 3D, Road Segment, Transport, Walcha
Organization: Spatial Services (DCS)
Coastal Vegetation of North East NSW. VIS ID 3885

Fine scale vegetation mapping for areas of coastal north east NSW undertaken by Steve Griffiths and Bob Wilson from 1984 to 2012.  The mapping includes all large and many smaller conservation reserves from the Forster district northwards, in addition to areas of significant native vegetation on crown or freehold land. Aerial photo interpretation (API) of predominantly 1:25000 colour photography, and limited coverage at scales of 1:10000 and 1:16000.
The structural classification follows Walker &amp; Hopkins (1984). Subformation names are an adaptation of the classification proposed by Beadle &amp; Costin (1952). The communities were named after dominant indicator species of the tallest stratum (and occasionally lower stratum), and most could be considered associations using the definition of Beadle (1981).
The separately mapped areas were merged into a single dataset in 1994. Yuraygir was updated in 2001-02. In 2011 three additional areas were included: Booti Booti National Park (1999), Frogalla Swamp (1996)and Saltwater Catchment (2005, Kendall and Kendall).  NB. Frogalla and Saltwater were mapped for non OEH projects.
The combined dataset includes the following areas:

Booti Booti NP
Broadwater NP
Bundjalung NP
Crowdy Bay NP
Diggers Camp VCL
Emerald Beach VCL
Frogalla Swamp (GTCC contract, 1996)
Goanna Headland VCL
Hat Head NP
Hathead NP
Iluka NR
Kattang NR
Lake Innes NR
Limeburners Creek NR
Minnie Waters VCL
Moonee Beach NR
Newrybar Swamp VCL
Richmond River VCL
Saltwater Catchment (DLWC contract, P.Kendall, 2003)
Yuraygir NP

Please note that many of the reserve boundaries have expanded since the original vegetation mapping. RN17 Forest Type codes were only added to the vegetation mapping in 1994 ie. the later additions do not have FT codes in the attribute table.
Other coastal reserves mapped by Griffiths and/or Wilson that have not yet been included (awaiting reports) in the merged dataset are:
Khappinghat NR 2000
Wallis Island NR 2017 
VIS ID 3885 (Note that this replaces coastal_NSW_VISmap_201 &amp; booti_VISmap_143)

Tags: Fine Scale Veg Mapping, Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
State Environmental Planning Policy (Industry & Employment) 2021

This SEPP contains planning provisions:


applying to employment land in western Sydney


for advertising and signage in NSW


This SEPP has consolidated and repealed the:

SEPP (Western Sydney Employment Area) 2009
SEPP 64 – Advertising and Signage


Tags: EPI, Employment, INDUSTRY, Industry, New Consolidated SEPP, SEPP, SEPP Consolidation, advertising and signage
Organization: NSW Department of Planning, Housing and Infrastructure
Multi-age or composite classes in NSW government schools (2014-2024)

Multi-age classes are made up of students drawn from different year levels. They may be established because of the uneven pattern of enrolment in the school, because of the small size of the school or where it’s considered that mixing students of different ages is academically and socially advantageous.
Data Notes:


Multi-age or composite class data for individual schools was not published for 2020. The collection took place in March 2020 when school operations were severely impacted by COVID-19, so the department did not follow up potential errors in class size or class structure with numerous schools.


The 2024 class size factsheet with state level aggregate data has been published and is available here:  https://data.nsw.gov.au/data/dataset/nsw-education-average-government-primary-school-class-sizes-by-school-size


Multi-age classes are often designed to match the organisation of the syllabus, which is based on ‘stages’ running over two years.


From 2017, school size is based on primary enrolment rather than school classification.


Historical data displays the data that was correct in that year.


Research suggests that:


Class organisation "...will not determine either educational advantage or disadvantage..." (NSW DET 1997).


The most important factors in determining student success are the quality of the teacher and his or her teaching. (Hattie, 2003)


Multi-age classes may benefit students both socially and emotionally. NSW consistently performs above the national average in NAPLAN testing. 
Data source:
Centre for Education Statistics and Evaluation. NSW Department of Education.

Tags: government-schools, level-school, student-administration-and-wellbeing
Organization: NSW Department of Education
Duval Nature Reserve Vegetation 2014 VIS_ID 4728

Duval Nature Reserve vegetation mapping was undertaken by Dr John T. Hunter in 2014 by contract for the NPWS Northern Tableland Region.  Mt Duval Nature Reserve lies approximately 15 km north of Armidale within the Armidale Dumaresq Shire. The reserve were gazetted to conserve remnants of previously widespread Tablelands vegetation communities as part of the Regional Forest Agreement (RFA) process. The reserve has an area of approximately 243 ha and was dedicated in two stages in 1999.
The vegetation of Mt Duval Nature Reserve is described and mapped (scale 1:10 000) based on ADS40 Imagery (2012). Five floristic communities are defined based on classification (Kulczynski association). These five communities were mapped based on ground truthing, air photo interpretation and landform. In addition ten Plant Community Types (VIS PCT) are also mapped along with two Threatened Ecological Communities (TECs).
VIS_ID 4728

Tags: Native Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Soil Landscapes of the Braidwood 1:100,000 Sheet

This map is one of a series of soil landscape maps that are intended for all of central and eastern NSW, based on standard 1:100,000 and 1:250,000 topographic sheets. The map provides an inventory of soil and landscape properties of the area and identifies major soil and landscape qualities and constraints. It integrates soil and topographic features into single units with relatively uniform land management requirements. Soils are described in terms of soil materials in addition to the Great Soil Group and Northcote classification systems.
Related Datasets: The dataset area is also covered by the mapping of the Soil and Land Resources of the Hawkesbury-Nepean Catchment and Hydrogeological landscapes of NSW.
Online Maps: This and related datasets can be viewed using eSPADE (NSW’s soil spatial viewer), which contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the SEED Map; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area.
Reference: 
Jenkins, B.R. 1995. Soil Landscapes of the Braidwood 1:100,000 Sheet map, NSW Department of Land and Water Conservation, Sydney
Jenkins, B.R. 1996. Soil Landscapes of the Braidwood 1:100,000 Sheet report, NSW Department of Land and Water Conservation, Sydney

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Fire Heterogeneity Index (FHI) 2016/17

Remote sensing scientists from the NSW Department of Climate Change, Energy, the Environment and Water (NSW DCCEEW) Science and Insights Division have developed a new approach to mapping the landscape patterns of high severity fire, based on NSW Fire Extent and Severity Mapping (FESM). 
High severity fire impacts an ecosystem by completely scorching or consuming the canopy biomass. Such impacts can be harmful to biodiversity, although some species benefit or even depend on this level of fire impact. 
Recent advances in remote sensing of fire and innovative computation solutions by DCCEEW Remote Sensing Scientists offer accessibility to data on fire severity and landscape patterns of fire heterogeneity across broad regions.

Tags: Biodiversity Assessment, Canopy, Environment, Fire, Fire Severity, Land Management and Biodiversity Conservation, Refugia, Rehabilitation, Wildfires
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Soil condition monitoring MER 2008: State of Catchment 2010 Reports (preliminary results)

State of Catchment reports for the 2008 baseline were produced for each Catchment Management Authority based on incomplete results available in 2009. The reports provide a regional summary of average condition and variability in condition for each of the following indicators:  Sheet and rill erosion; Gully erosion; Wind erosion; Soil Carbon; Soil Structure; Soil pH; Soil salinity and Acid sulfate soils.  The same results are also used to show the average condition of each soil monitoring unit.  Lowest scoring indicators in each soil monitoring unit are highlighted.  The catchment index, simply the average of all condition scores for all indicators is presented and compared with the soil condition index for NSW.   Current soil condition pressure and trends determined from the results of the land management within capability monitoring theme. Gaps in the data were filled by expert knowledge from local experts.The most reliable results from the 2008 MER program are presented in OEH (2014) Soil condition and land management in NSW: final results from the 2008-09 monitoring evaluation and reporting program Technical Report, NSW Office of Environment and Heritage, Sydney http://www.environment.nsw.gov.au/soils/140389MERsoil.htm

Tags: land degradation, sustainable land management
Organization: NSW Department of Climate Change, Energy, the Environment and Water
NSW eastern forest soil condition: Spatio-temporal data cube maps

This dataset created by the University of Sydney, includes time series digital soil map products of soil organic carbon (SOC) between January 1990 and December 2020 for the Regional Forest Agreement regions of eastern NSW.  Modelling was completed using a data cube platform incorporating machine learning space-time framework and geospatial technologies. Products provide estimates of SOC concentrations and associated trends through time. Also important covariates required to drive this spatio-temporal modelling are identified using the Recursive Feature Elimination algorithm (RFE), which including a range of predictors that vary in space, time and space and time. 
Full description of the digital soil maps and methods are presented in:
Moyce MC, Gray JM, Wilson BR, Jenkins BR, Young MA, Ugbaje SU, Bishop TFA, Yang X, Henderson LE, Milford HB, Tulau MJ, 2021.   Determining baselines, drivers and trends of soil health and stability in New South Wales forests: NSW Forest Monitoring &amp; Improvement Program, Final report v1.1 for NSW Natural Resources Commission by NSW Department of Planning, Industry and Environment and University of Sydney.  
The metadata's data packages  section includes project scripts and code, final project report and an external Cloudstor link to download the predicted SOC map products, 

Organization: NSW Natural Resources Commission