AndreaBozzo/ceres-open-data-index huggingface dataset:
Natural Vegetation of the Mt. Pomany 1:100,000 Map Sheet. Benson, D.H. and Howell J. (unpublished draft) VIS_ID 2350

Benson and Howell (1995) Hawkesbury-Nepean Catchment Vegetation Mapping - Explanatory Notes for the Mt Pomany 1:100 000 Vegetation  Map Sheets. Composition and extent of the present natural vegetation within the Hawkesbury-Nepean catchment area found on the Mt Pomany 1:100 000 map sheet is mapped and described in terms of structure and floristics. Methods consistent with other maps of Hawkesbury-Nepean catchment area published in Cunninghammia and provisional 1:100 000 map sheets prepared as part of the Hawkesbury-Nepean Catchment Vegetation Mapping project.;
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VIS_ID 2350;
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ANZLIC: ANZNS0263000344

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Liverpool Railway 3D May 2024

Access APIMetadata Portal Metadata InformationContent TitleLiverpool Railway 3D May 2024Content TypeScene Layer/Scene Layer PackageDescriptionNSW Transport Theme Railway represents a permanent way of having one or more rail lines which provide tracks for vehicles. A railway can be heavy rails, light rail, monorail and heavy rail siding, for example a railway, tramway or monorail.Initial 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, Liverpool, Railway, Transport
Organization: Spatial Services (DCS)
Lake Illawarra Bathymetric Survey 2022/23

Wollongong City Council, Shellharbour City Council and NSW Department of Climate Change, Energy, the Environment and Water engaged a consultant to undertake a contemporary bathymetric survey of Lake Illawarra and its tributaries followed by a comparative assessment with the 2008 bathymetric survey. This bathymetric survey was conducted to enable an analysis of sedimentation and erosion within the lake based upon historical data. There were four different techniques used - Real Time Kinematic (RTK) by foot, RTK by boat, Single Beam (SBES) by boat, and Multi Beam Echo Sounders (MBES) by boat. Data collection was conducted as close as possible along historical survey lines (2008) so that a comparison could be made during analysis.
This project provides information on the current status and recent changes of the topography of the Lake's bed, indicating the depth of water across the Lake. The comparative results determined if and where sedimentation and/or erosion is occurring. 

Tags: Estauries, Lake Illawarra, Lakes, Water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Blacktown Railway 3D May 2024

Access APIMetadata Portal Metadata InformationContent Title&nbsp;Blacktown Railway 3D May 2024Content TypeScene Layer/Scene Layer PackageDescriptionNSW Transport Theme Railway represents a permanent way of having one or more rail lines which provide tracks for vehicles. A railway can be heavy rails, light rail, monorail and heavy rail siding, for example a railway, tramway or monorail.Initial 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, Blacktown, Railway, Transport
Organization: Spatial Services (DCS)
Repealed - State Environmental Planning Policy (Miscellaneous Consent Provisions) 2007

This State Environmental Planning Policy was repealed on 31 January 2020.
This historical record represents Miscellaneous Consent Provisions for SEPP 2007. The data and resource links may be not be valid.

Tags: Consent, HUMAN-ENVIRONMENT-Planning, Provisions, SEPP, State Environmental Planning Policy, planning
Organization: NSW Department of Planning, Housing and Infrastructure
New England and Gumbaynggir National Parks Vegetation 2000. VIS_ID 507.

Vegetation community mapping for New England National Park and part Gumbaynggir National Park by Peter Clarke, UNE in 2000. A Dorrigo Plateau NPWS Area contract - combination of State Forest Forest Type mapping with new mapping. 
VIS_ID 507

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Yanga Vegetation Mapping: Historical Community Extent and Condition VIS_ID 3782

Mapping of vegetation was undertaken for Yanga National Park (NP), Yanga Nature Reserve (NR) and Yanga State Conservation Area (SCA) from aerial photography for the years of 1965, 1973, 1997 and 2005.
VIS_ID 3782

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Severn River Nature Reserve Vegetation 2000 and 2005 VIS_ID 4754

Severn River Nature Reserve vegetation mapping was undertaken by Dr John T. Hunter in 2000 by contract for the NPWS Northern Tableland Region. The Clayton Chase additions to the Severn River Nature Reserve were mapped in 2005.  Severn River Nature Reserve is located 50km north west of Glen Innes.
The vegetation of Severn River Nature Reserve is described and mapped (scale 1:50000). Nine communities are defined based on PATN analysis and two specialised communities are broadened in their circumscription based on previously surveyed sites. Nine communities are mapped based on ground truthing, air photo interpretation and altitude. Most communities are of a Woodland structure, however Forests exist along with Shrublands and Herbfields. The distribution of communities is related to Aspect and Physiography mainly but also past disturbances and soil depth. Many of the communities show considerable variation and intergrade along common boundaries. A number of specialised communities are thought to be largely restricted to the reserve and nearby areas. Six communities previously mapped within Severn River Nature Reserve by Hunter (2000) were found within Clayton Chase. Two additional communities were sampled and described for this area in 2005.
VIS_ID4754

Tags: Native Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
2019/2020 Bushfire Inquiry project water quality dataset

The Integrated Water Quality and Environmental Monitoring Dataset before, during and after the 2019/2020 Bushfires is a comprehensive repository of data compiled from multiple sources, including the MER (Monitoring, Evaluating, Reporting) program and other relevant sources. This dataset encompasses various types of information essential for assessing the impact of the 2019/2020 bushfires on water quality in selected ICOLLs (Intermittently Closed and Open Lakes and Lagoons) and river estuaries. It incorporates historical water quality data collected during the bushfires and post-bushfire period through the MER program, rainfall data from nearby BOM (Australian Bureau of Meteorology) weather stations, logger data deployed at selected estuaries during or shortly after the bushfire season, dates of fire impact on the monitored systems, and surface and depth water quality monitoring data from smart buoys deployed across various estuaries.
Components:


Estuary and fire impact data
Information detailing the systems incorporated in this data set and the dates when these systems were affected by the 2019/2020 bushfires.


MER Program Data (Lakes, Rivers):
Historical water quality data collected during the 2019/2020 bushfires and subsequent periods as part of the MER program. Includes parameters such as pH levels, turbidity, salinity, chlorophyll-a concentrations, dissolved oxygen concentrations and nutrient concentrations. The MER dataset was collected as part of the NSW Government Monitoring, evaluating and reporting on estuaries program. The reported data has met the required QA/QC standards associated with this program. For further information:  https://www.environment.nsw.gov.au/topics/water/estuaries/monitoring-and-reporting-estuaries


Rainfall Data: Precipitation data obtained from BOM weather stations located near the monitored estuaries.


Logger data: Data recorded by loggers deployed at selected estuaries including Lake Conjola, Meroo Lake, Termeil Lake, Wonboyn Lake, and Tuross River during or immediately following the 2019/2020 bushfire season . Includes measurements of environmental parameters such as water temperature, dissolved oxygen and salinity. Compiled from published data available here: https://datasets.seed.nsw.gov.au/dataset/bushfire-impact-water-quality


Smart Buoy Monitoring Data: Surface and depth water quality monitoring data collected from smart buoys deployed in various estuaries (Wonboyn Lake, Wallaga Lake, Lake Conjola, and Durras Lake). This data provides continuous or periodic measurements of water quality parameters, offering insights into spatial and temporal variations in water quality after the bushfire period in the longer-term.



Tags: Fire Management Planning
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Salinity Management Actions for the HGL of the Australian Capital Territory 2017 (Second Edition)

This dataset supersedes all earlier versions of 'Salinity Management Actions for the HGL of the Australian Capital Territory'. It incorporates HGL boundary and management area edits based on updated soil landscape mapping for the ACT.
The focus of this dataset is the Australian Capital Territory. It contains digital spatial data developed to assist in land management decision making in the ACT. The dataset defines individual management areas and specifies appropriate management actions and specific high risk land uses for each management area. Information about salinity hazard ratings, landscape functions and salinity management strategies at the HGL unit level are also incorporated. Hyperlinks to full management descriptions for each HGL unit are provided. 
The Hydrogeological Landscape (HGL) concept provides a structure for understanding how differences in salinity are expressed across the landscape. A HGL spatially differentiates areas with similar salt stores and pathways for salt mobilisation. The process of delineating a HGL relies on the integration of a number of causative factors: geology, soils, slope, regolith thickness, and climate; an understanding of the different modes of salinity development; and the impacts of salinity within landscapes (land salinity, salt load and salt concentration in streams due to salt contributions from base flow and runoff ). Information sources such as soil landscape maps, site characterisation, salinity occurrence maps, hydrogeological data, surface water and groundwater data are incorporated into standardised unit descriptions.
Spatial resolution for this product is 1:25 000.

Tags: Land Degradation, Land Management, Salinity
Organization: NSW Department of Climate Change, Energy, the Environment and Water
River Red Gum Floristic Composition and Structure Data

These data were collected as part of the River Red Gum Ecological Thinning Trial. 
All floristic data were surveyed in three 20 m x 20 m subplots within each 9 ha plot. Data were collected for six floristics parameters, as described below:
Floristic Composition: Cover scores were recorded for all native and exotic plant species present within each subplot. Additionally, ten 1 m x 1 m quadrats were located every second metre (starting from 0 m) along the western 20 m boundary of each subplot. Presence only data were recorded in these quadrats. Floristic composition was surveyed six times over seven years.
Native and Exotic Vegetation Cover: Cover of living and dead foliage of native and exotic understorey vegetation was estimated to the nearest 0.5% within each subplot. Native and exotic vegetation cover was surveyed three times, starting in the 2019-20 survey year.
Understorey Vegetation Cover: These surveys included visual estimates of the living and dead foliage cover of understorey vegetation within the near-surface and elevated strata. Cover was measured to the nearest 0.5% within each subplot, six times over seven years.
Understorey Vegetation Height: Average understorey vegetation height was estimated by taking ten height measurements from a representative range of understorey plants in each subplot. Understorey height data was collected six times over seven years.
Canopy Cover: Canopy cover was visually estimated as the foliage projective cover of canopy trees, expressed as a percentage of the area in each subplot. Canopy cover data was collected six times over seven years.
Canopy Height: Average canopy height was estimated by measuring the height of all canopy trees within each subplot. Where more than 10 canopy trees were present, 10 representative canopy trees were measured. Canopy height data was collected in two survey years, in 2021-21 and 2021-22.
Further information is provided in the reference guide for each dataset.

Tags: Native Vegetation, Thinning, vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Vegetation of Mungo National Park, western New South Wales VIS_ID 796

The vegetation of Mungo NP and adjacent Joulni Station in south-western NSW within the Balranald local government area was assessed using intensive quadrat sampling and mapped using extensive ground truthing, API and Landsat TM satellite image analysis. Twenty vegetation communities were identified, reduced to six vegetation types and 8 map units for the mapping phase.;
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Ref: Westbrooke &amp; Miller 1995. ;
The vegetation of Mungo National Park, western NSW. Cunninghamia 4(1);
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ANZNS0263000194;
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VIS ID 796

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Biodiversity Credits Market Sales Dashboard

The Biodiversity Credits Market Sales Dashboard (BAM market sales
dashboard) provides current sales data for biodiversity credits created using the
Biodiversity Assessment Method (BAM). The BAM market sales dashboard is a web-based tool giving access to biodiversity credit market data registered by the Environment Agency Head in the Biodiversity offsets scheme (BOS) public registers. The BAM market sales dashboard uses drag-and drop functionality to make it easy to extract and present biodiversity credit market data as dynamic and interactive data visualisations.
The BAM market sales dashboard comprises 3 pages presenting information about the:

market overview
latest price for ecosystems credits
latest price for species credits.

The latest price is at which either a species or ecosystem credit was bought or sold for transference, as defined by section 6.19 of the Biodiversity Conservation Act 2016.

Tags: Biodiveristy credits price, ECOLOGY-Ecosystem, ECOLOGY-Habitat, HUMAN-ENVIRONMENT-Economics, HUMAN-ENVIRONMENT-Planning, Market Price
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Ngunya Jargoon IPA Vegetation. VIS_ID 4693

Landmark Ecological Services Pty Ltd (Landmark) was engaged by the Nature Conservation Council (NCC) to conduct fine-scale mapping of vegetation, at Ngunya Jargoon, an Indigenous Protected Area (IPA) on the NSW far north coast. Initial air photo interpretation (API) had previously been undertaken by the Office of Environment and Heritage (OEH) for Ngunya Jargoon, including identification of recommended ground truthing points. The OEH mapping provided a base-map with linework based on obvious patterns in vegetation detected during API.  The imagery used to map the communities included Land and Property Information high resolution digital photography (ADS40, Sept 2009) and Nearmap online high resolution aerial imagery.  NCC then contracted Landmark to undertake the ground-truthing, further air interpretation and final production of the maps for this project. Ngunya Jargoon is approximately 850 ha in area and is located approximately 1km to the west of Wardell, a small village on the Richmond River in Ballina Shire. The landscape comprises a level to gently undulating sand plain with two small sandstone hills in the south-east of the IPA. The soils at Ngunya Jargoon are mapped as Warners Bay Coastal Sandplains with the exception of a small area to the south mapped as Birdsview Variant a Sedimentary High quartz and a small area mapped as Disturbed Terrain in the northwest. VIS_ID 4693
NOTE: Footprint only is available for download. Please contact the data custodian (NCC) for access to the vegetation map:
Email: ncc@nature.org.au
Phone: (02) 9516 1488
https://www.nature.org.au/about/contact-us/
VIS_ID 4693

Tags: Vegetation, plant community type, vegetation map
Organization: NSW Department of Climate Change, Energy, the Environment and Water
NPWS Branches

The National Parks and Wildlife Service Operation Branches is a polygon layer that includes the eight administration branches that were announced 16 December 2016 - North Coast, Northern Inland, Hunter Central Coast, Greater Sydney, Blue Mountains, South Coast, Southern Ranges and West Branches.  The boundaries encompass the NPWS estate and heritage sites that are managed by each of the 4 -5 Areas within the Branch.  NPWS staff that work in each administration Branch report to a Director. 
The boundaries came into effect 16 December 2016 but have been adjusted slightly over the months following.  They were finalised October 2017.

Tags: Admin
Organization: NSW Department of Climate Change, Energy, the Environment and Water
2022 NSW Population Projection at 2041

Export DataAccess APIThe NSW population projections&nbsp;are a scenario based on available evidence. They are not a target or a representation of Government intent. They represent possible demographic futures based on the best assessment of how the NSW population may change over time, including population size, age profile and residential location. The projections reflect current planning frameworks and strategies in place, and the potential demographic outcomes of contemporary decisions. They represent a basis from which to plan from.Population projections provide a picture of the population as it may develop in the future. They indicate an area’s likely population size, and its age and sex profile. Understanding these changes is essential to making informed planning decisions for the State’s future. These projections are used as a common framework across NSW Government. They inform planning policy decisions around infrastructure and service delivery such as the provision of hospital beds, school classrooms, roads and public transport. Future decisions, such as infrastructure investments and land use plans, will change future population patterns including growth and distribution. These projections do not change the current visions set out in Regional Plans or affect local plans and strategies such as Local Council’s Local Strategic Planning Statements and Local Housing Strategies.MetadataContent Title2022 NSW Population Projection at 2041Content TypeOtherDescriptionNSW population, household and implied dwelling projections are produced by the Department of Planning and Environment on behalf of the NSW Government. This is an Map Image Layer.Initial Publication Date01/04/2023Data Currency01/04/2023Data Update FrequencyYearlyContent SourceData provider filesFile TypeImagery LayerAttribution2022 NSW Population, Housing and Dwelling Projections (DPE, 2022)Data Theme, Classification or Relationship to other DatasetsPopulationAccuracySpatial Reference System (dataset)GDA94Spatial Reference System (web service)EPSG:4326WGS84 Equivalent ToGDA94Spatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonStandard and SpecificationData CustodianDepartment of Planning, Housing and InfrastructurePoint of ContactPopulation.Futures@planning.nsw.gov.auData AggregatorDepartment of Planning, Housing and InfrastructureData DistributorDepartment of Planning, Housing and InfrastructureAdditional Supporting InformationTRIM Number

Tags: Population
Organization: Spatial Services (DCS)