AndreaBozzo/ceres-open-data-index huggingface dataset:
Camden Water Quality Data Public

Export DataAccess APIMetadata Portal Metadata InformationContent TitleCamden Water Quality Data PublicContent TypeHosted Feature LayerDescriptionThe dataset contains the location of water sensors and water quality data within the last 7 days in Camden.Initial Publication Date27/10/2021Data Currency01/02/2024Data Update FrequencyAPIContent SourceAPIFile 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 CustodianCamden CouncilPoint of ContactCamden CouncilData AggregatorData DistributorAdditional Supporting InformationTRIM Number

Tags: Camden Council, Water Quality, Water Sensor
Organization: Spatial Services (DCS)
Freshwater Turtle

The freshwater turtle dataset comprises observational records collected from various regions within New South Wales (NSW), Australia. These records were obtained through a standardised method known as baited remote underwater video surveys (BRUVs), conducted across a range of aquatic habitats.
The dataset includes detailed information on freshwater turtle sightings, including species identification, spatial coordinates of each observation site, and additional environmental parameters such as water depth, temperature, and habitat characteristics.
Each record in the dataset provides valuable insights into the distribution, relative abundance, and habitat preferences of freshwater turtle populations in NSW. These data contribute to ongoing research and conservation efforts aimed at understanding and protecting these iconic and ecologically significant reptiles in their natural habitats.

Tags: DCCEEW - Water, DCCEEW - Water Science, ecology, environmental, freshwater turtle, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
ALS Analysis into Forest Structure Change - Coffs Harbour

Export DataAccess APIThese datasets were produced as part of a study undertaken by the University of Newcastle, commissioned by the NSW Natural Resources Commission. The study produced a report, titled ‘Retrospective Analysis of Forest Structure Change: ALS Data Comparison and Interpretation’.These datasets are part of a web application on the Spatial Collaboration Portal, accessible through the below URL:https://portal.spatial.nsw.gov.au/portal/apps/experiencebuilder/experience/?id=7ab99290b6514fed880df16af1fcc7e6&nbsp;Metadata&nbsp;Portal Metadata InformationContent TitleALS Analysis into Forest Structure Change - Coffs HarbourContent TypeOtherDescriptionALS derived canopy height &amp; coverage models and associated factors.Initial Publication Date24/05/2024Data Currency24/05/2024Data Update FrequencyOtherContent SourceOtherFile TypeImagery LayerAttributionData produced by University of Newcastle for the Natural Resources CommissionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)OtherSpatial Reference System (web service)OtherWGS84 Equivalent ToOtherSpatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianNSW Natural Resources CommissionPoint of ContactEmma Pearce (Emma.Pearce@nrc.nsw.gov.au)Data AggregatorData DistributorSpatial VisionAdditional Supporting InformationTRIM Number

Tags: ALS, Aerial LiDAR, Bushfire, Canopy, Canopy Coverage Model, Digital Height Model, Earth observation, Elevation, Fire, Fire Extent and Severity Mapping, Forest, Forestry, Harvesting, Height, Landform, Landscape, LiDAR, NRC, Natural Resources Commission, Remote sensing, Tree, University of Newcastle, UoN, Vegetation
Organization: Spatial Services (DCS)
NSW Marine Habitats 2002

An environmental classification developed in conjunction with the NSW Marine Parks Authority Research Committee. The purpose of the mapping was for use in assessments to identify potential locations for marine protected areas in NSW. For more information see: Breen D.A. and R.P. Avery. (2002). Broad-scale biodiversity assessment of the Manning Shelf marine bioregion. Draft final report for the NSW Marine Parks Authority. Copies of the report may be borrowed from the library: Environment Australia, GPO Box 787, Canberra ACT 2601 Australia This coverage is intended for used in regional level marine conservation assessment. It was prepared using very low cost techniques (ie. unrectified API) and should not be relied upon for navigation purposes. THIS DATA IS NOT SUITABLE FOR NAVIGATION PURPOSES.
This represents an historic dataset providing transparency on the 2002 marine park systematic planning process. This product is one of three related datasets used in the assessment process: "NSW Ocean Ecosystems 2002", "NSW Estuarine Ecosystems 2002" &amp; "NSW Marine Habitats 2002"

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Byron LGA Vegetation 2021 VIS_ID 5109

Byron Shire Council Vegetation was mapped using a combination of aerial photograph interpretation (API), reviewing existing information (eg. vegetation survey data from various council and state government projects), and on-ground site inspections.   It was originally mapped in 2015 from 2009 and 2012 aerial photography, updated spatially by Landmark Ecological Services Pty Ltd in 2017 along with PCT classes, and slightly revised in 2019 and again in 2021.
VIS_ID 5109

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
NSW Government schools by school type (2001-2023)

Data Notes:


Primary schools enrol students in Kindergarten to Year 6.


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.


Central/community schools have primary and secondary departments and may be established where there is an enrolment in secondary classes of 20 or more. Enrolments in primary departments and secondary departments are included with the appropriate student data.


Schools for specific purposes (SSPs) are for students with specific needs. Most SSPs have permanent enrolments and include schools for students with intellectual (mild, moderate and severe) and physical disabilities, visual or hearing impairment, behaviour disorders or emotional disturbance, and students in juvenile justice centres. Some SSPs have no permanent enrolments because the children temporarily attending them are enrolled and counted in their own schools. These are mainly hospital schools.


Data Source:

Schools and Students: Statistical Bulletin. Centre for Education Statistics and Evaluation. 


Tags: educational-leadership, government-schools, level-state
Organization: NSW Department of Education
Eastern Suburbs of Sydney Banksia Scrub, 2008. VIS_ID 4033

The following maps of known Eastern Suburbs Banksia Scrub (ESBS) sites are provided as a guide for land managers to indicate the presence and approximate extent of ESBS in March 2008. They are indicative only and are not intended for fine scale assessment. Any future assessment of potential environmental impacts must re-survey the relevant area to determine the exact extent of ESBS. VIS_ID 4033

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Nominal Impervious Surface Map - Greater Sydney

Impervious surfaces were derived from two existing mapping products, producing six classes of impervious area: Buildings, Roads, Railways, Roads and Railways, Airports and Aerodromes, Stormwater Infrastructure.
Impervious Surfaces associated with buildings were derived from the Geoscape® Buildings Theme, which provides polygon representations of every building in Australia with a roof area equal to or greater than 9m2. Building polygons from the Greater Sydney Region were extracted and used to create the ‘Buildings’ feature.
Impervious Surfaces not associated with buildings were derived from the NSW Land Use Map 2017 (inclusive of the draft Land Use Mapping for the Sydney Metropolitan Region), which provides land use mapping for NSW at a 1:10,000 reliability scale, based on the Australian Land Use and Management Classification Code. This layer was used to generate the Roads, Railways, Roads and Railways (polygons reclassified during QC) Airports and Aerodromes, and Stormwater Infrastructure features.
Once both sets of features had been generated, they were intersected with LGA to aid in computation and provide additional map utility. Following this, any overlap between the Buildings features and the Land Use features was corrected using the Erase Function, before the layers were combined using the union function, and dissolved by LGA and feature class to provide LGA-level breakdowns of the prevalence and providence of impervious areas.

Tags: Airports, Buildings, Concrete, Hydrology, Impervious, Impervious Surface, Railways, Road, Stormwater, Urban
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Historical Fire Extent and Severity Mapping (FESM) - Statewide 2011-12

Fire severity is a metric of the loss of biomass caused by fire. In collaboration with the NSW Rural Fire Service, the department's 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 statewide historical severity mapping of fires &gt;100ha for the 2011-12 fire year, which is based on Landsat satellite imagery (30m pixels). From 2016/17 to the current fire year is covered in the statewide FESM data, which is based on Sentinel 2 satellite imagery (10m pixels).

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

Access APIMetadata Portal Metadata InformationContent TitleMoree Plains 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, Moree Plains, Road Segment, Transport
Organization: Spatial Services (DCS)
General Purpose Water Accounting Reports - Barwon-Darling Catchment

NSW is the leading state in implementing standardised water resource accounting. The General Purpose Water Accounting Reports (GPWAR) adopt the Australian Water Accounting Standard 1 (AWAS 1).  The annual GPWAR is prepared for all major regulated NSW inland valleys. The reports are published following the closure of the water year. 
The annual reports provide stakeholders with consistent and transparent water resource accounting information.
Included in the GPWAR are:
•   a contextual statement summarising the climatic conditions, water resources, environmental holdings, water trading market and water resource management in the water source for the reporting period
•   a physical flow diagram illustrating changes in storage volumes and the associated inflows and outflows
•   water accounting statements presenting the opening and closing balances, and itemised changes to these balances for available water resources (water assets), licenced allocation accounts (water liabilities) and planned environmental water accounts (water liabilities)
•   disclosure notes (linked to the figures within the water accounting statements) providing detailed information of accounting components including:
      (i)   access licence account balances planned and held environmental, 
      (ii)  water account balance, 
      (iii) detailed available water determination report,
      (iv)  temporary trading by licence category,
      (v)   supplementary announcements and usage by river reach,
      (vi)  physical inflows and outflows to the system for the water year.

•   while groundwater has not been directly included in this GPWAR (aside from those processes that directly affect the regulated river), annual groundwater summary reports by water source are published separately and accessible via the department’s website.

Tags: AWD, DCCEEW - Water, DCCEEW - Water Analytics, GPWAR, accounting, allocation, allocation assignments, available water determination, environmental water, general purpose water accounting reports, inflows, inter-valley trade, intra-valley trade, regulated river, share component, storage, supplementary water, surface water, water, water accounting
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Vegetation survey and mapping of Tinkrameanah National Park VIS ID 3995

Vegetation survey and mapping of Tinkrameanah National Park in 2008, commissioned by NPWS Narrabri Region. Five 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. Error found in typing of one polygon by NPWS Northern Plains Region staff in February 2012. Community description was changed (ObjectID_1 = 2) from 'C3: Narrow-leaved Ironbark - White Cypress Pine' to 'Undescribed White Box - White Cypress Pine'. White Box - White Cypress Pine was not identified as a community in the floristic analysis so is not described in the associated report. NSW Plant Communities (VCA), Classes and Formations (per Keith 2004) were assigned by Western PaCS Dubbo. Those provided in the original report were incorrectly assigned. VIS_ID 3995

Tags: PCT, Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Camden Road Segment 3D May 2024

Access APIMetadata Portal Metadata InformationContent TitleCamden 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, Camden, Road Segment, Transport
Organization: Spatial Services (DCS)
Oxley Wild Rivers National Park & State Conservation Area Vegetation 2014  VIS_ID 4364

In 2012, the NSW Office of Environment and Heritage (OEH) commissioned Eco Logical Australia (ELA) to conduct a comprehensive vegetation survey of Oxley Wild Rivers National Park and Oxley Wild Rivers State Conservation Areareserves. The results of this vegetation survey are the classification and mapping of the vegetation communities and vegetation communities of conservation significance. The survey results are 36 broad mapping units and 63 fine-scale vegetation communities. Where possible, the classification used existing vegetation. However, the current vegetation communities in this pre-existing classification system were not always adequate to cover the vegetation observed, so an additional 16 communities were described for the park as part of the current project.
VIS_ID 4364 (Replaces VIS_ID 4753)

Tags: PCT, TEC, Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
State Environmental Planning Policy (Precincts - Regional) 2021

This SEPP contains planning provisions for precincts within Regional NSW.
This SEPP has consolidated and repealed the provisions from the:

SEPP (State Significant Precincts) 2005 including the Kings Forest site, Tomago industrial site, Sandon Point site, Rise Bilambil Heights site, Calderwood site, Southern Highlands, Regional Shooting and Complex site
This SEPP also includes provisions from SEPP (Activation Precincts) 2020
SEPP (Kosciuszko National Park – Alpine Resorts) 2007
SEPP (Gosford City Centre) 2018


Tags: EPI, Gosford City Centre, HUMAN-ENVIRONMENT-Planning, Kosciuszko National Park, New consolidated SEPP, Regional NSW, Regional Precincts, SEPP, SEPP consolidation
Organization: NSW Department of Planning, Housing and Infrastructure
High Ecological Value Waterways and Water Dependent Ecosystems - CITY OF PARRAMATTA LGA

A map of the high ecological value waterways and water dependent ecosystems for the City of Parramatta 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 21 indicators making up the map for the City of Parramatta 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