AndreaBozzo/ceres-open-data-index huggingface dataset:
Goulburn Mulwaree Railway 3D May 2024

Access APIMetadata Portal Metadata InformationContent TitleGoulburn Mulwaree 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, Goulburn Mulwaree, Railway, Transport
Organization: Spatial Services (DCS)
Hawkesbury Road Segment 3D May 2024

Access APIMetadata Portal Metadata InformationContent Title&nbsp;Hawkesbury 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, Hawkesbury, Road Segment, Transport
Organization: Spatial Services (DCS)
Burnt Down Scrub Nature Reserve Vegetation 1999 VIS_ID 4720

Burnt Down Scrub Nature Reserve vegetation mapping was undertaken by Dr John T. Hunter in 1999 by contract for the NPWS Northern Tableland Region.  The reserve is 8 km NNW of the junction of the Mann and Clarence Rivers, 15 km
SW of Baryugil and is separated by 4 km of cleared land from the Redbank Creek
area of Washpool National Park. The reserve is included under Portions 94 and 99 of the Parish of Carnham and the County of Drake. 
The vegetation of Burnt Down Scrub Nature Reserve is described and mapped (scale1:25 000). Five communities are defined based on PATN analysis. Five communities are mapped based on ground truthing, air photo interpretation and landform. Most communities are of Open Forest and Closed Forest structure. The distribution of communities is related to past disturbances, particularly fire but also drainage and protection from the west. Many of the communities show considerable variation and intergrade along common boundaries. All communities are considered adequately represented in the current reserve network.
VIS_ID 4720 

Tags: Native Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
NSW Bionet Threatened Biodiversity Profile Data Collection

The Threatened Biodiversity Profile Data Collection (TE) is maintained in the NSW BioNet-Atlas database http://www.bionet.nsw.gov.au/, and includes profiles for threatened species, population and ecological communities that occur in NSW. 
The profiles contain detailed descriptions, photographs and information related to the distribution, habitat, ecology, threats and management priorities of each threatened entity.
Specifically, Threatened Biodiversity Profiles are maintained for Critically Endangered, Endangered and Vulnerable species, Endangered Populations and Critically Endangered, Endangered and Vulnerable Ecological Communities and Key Threatening Processes that are listed in the Schedules of the NSW Threatened Species Conservation Act 1995 (TSC Act). Information on threatened entities that are listed on the Commonwealth Environment Protection and Biodiversity Conservation Act 1999 (EPBC Act) which occur in NSW is also included in the database.
ACCESS: The Threatened Biodiversity Data Collection can been accessed through the OEH Threatened Species website (http://www.environment.nsw.gov.au/threatenedspecies/) or BioNet Threatened Biodiversity Web Service (an open API) https://data.bionet.nsw.gov.au/
The Threatened Entity Profile Data Collection contains essential information used for the assessment of likely impacts of development proposals on threatened entities and in determining the amount of habitat that can be lost and how much must be offset to achieve an “Improve or Maintain” outcome for the affected species, populations or ecological communities.
Spatial Distribution information is maintained for each threatened entity within the Bionet-Atlas application. This has three main purposes. Firstly, it provides basic distribution map as displayed on the Threatened Species website. Secondly, this distribution information is used as the basis of validating new sighting records that are entered into the BioNet-Atlas application. Finally, the distribution recorded in BioNet is used for predicting the likely presence of threatened species at site location.

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Habitat Mapping in the NSW Riverina Bioregion VIS_ID 826

Map derived from Roberts, I. &amp; Roberts, J. (March 2001). Plains wanderer (Pedionomus torquatus) Habitat Mapping - Including Woody Vegetation and other Landscape Features. Riverina Plains - NSW. NSW NPWS. ;
;
Associated Report:;
"Plains Wanderer (Pedionomus torquatus) Habitat Mapping, including Woody Vegetation and other Landscape Features, Riverina Plains NSW", March 2001. VIS_ID 826

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Warialda State Conservation Area Stonehenge Section Vegetation 2009 VIS_ID 4760

Warialda CCAZ3 State Conservation Area vegetation mapping was undertaken by Dr John T. Hunter in 2009 by contract for the NPWS Northern Tableland Region.  The Warialda CCAZ3 State Conservation Area is located 10km south of the township of Warialda.
The vegetation of the Stonehenge (middle) section of the three Warialda SCA/NP sections is 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. The communities described and their status are C1: Black Cypress Pine – Dirty Gum Woodland 170 ha, C2: Smooth-barked Apple – Black Cypress Pine 75.5 ha, C3: White Cypress Pine – Silver-leaved Ironbark – Blakely’s Red Gum 221 ha, C4: White Cypress Pine – Silver-leaved Ironbark – White Box 46 ha, C5: White Cypress Pine – Mugga Ironbark – Silverleaved Ironbark 16 ha.
VIS_ID 4760

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

Access APIMetadata Portal Metadata InformationContent TitleNarrabri 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, Narrabri, Railway, Transport
Organization: Spatial Services (DCS)
NSW eastern forest soil condition: empirical soil maps

This dataset includes four soil products using an empirical approach to assess soil condition indicators and complete a data gap analysis covering the Regional Forest Agreement regions of eastern NSW. 
In the empirical analysis, maps presented soil indicator values of topsoil pH, organic carbon and emerson aggregate stability for each of the 2162 soil map units, based on the unit's most representative soil profile available within the Soil and Land Information System (SALIS). Maps reflect values when the sampling occurred with temporal changes not being accounted for and used the 2008 woody vegetation coverage as the baseline extent. The dataset identifies the locations where data is missing or of poor quality, providing a confidence rating map as part of the evaluation process. 
Full description of the empirical 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_v1.1, Final report for NSW Natural Resources Commission by NSW Department of Planning, Industry and Environment and University of Sydney.  

Tags: CLIMATE-AND-WEATHER-Climate-change, EAT, FORESTS, SOIL, SOIL-Erosion, Soil Condition, emerson aggregate, organic carbon, pH
Organization: NSW Natural Resources Commission
2022-23 LiDAR point cloud data and 1m Digital Elevation Model in selected NSW state forests

The LiDAR point cloud data and 1m Digital Elevation Model datasets cover about 250,000 hectares across 27 state forests in 7 regions (Eden, Batemans Bay, Bulahdelah, Wauchope, Coffs Harbour, Styx River and Casino) collected in 2022 and 2023.

Organization: NSW Natural Resources Commission
Lower Hunter and Central Coast Regional vegetation survey VIS_ID 2227

The NPWS were contracted by the Lower Hunter and Central Coast Regional Environment Management Strategy (LHCCREMS) to carry out vegetation survey and mapping across the region. The initial vegetation survey and mapping study formed the first major part of the data collection and analysis effort for this project.;
;
The primary aims of the study were to ;
produce a detailed cross tenure map of the distribution of the vascular plant communities in the Lower Hunter and Central Coast region; ;
provide estimates of the distribution of the plant communities prior to the arrival of Europeans (pre-1750); ;
utilise project methodologies which are consistent with the Comprehensive Regional Assessment (CRA) work conducted on public land in the region so that the two surveys can be amalgamated into a single database to greatly improve the resolution and usefulness of each; and provide a context for future studies so that data collection is compatible with, and contributes to the on-going development of a comprehensive regional database.;
;
This work was then updated by Ecological in May 2003. This involved the integration of additional remnant mapping, review of mapping errors and correction, additional canopy cover mapping and other general refinements of the map layer, including information on canopy condition. Extant vegetation data mapped from aerial photos, combined with a pre1750 model of vegetation communities to produce an extant vegetation community map. Photos flown between 2000 &amp; 2001 to produce extant vegetation map. This map then combined with the existing pre1750 vegetation community mapping undertaken by NSW NPWS to produce an extant vegetation community map. (VIS_ID 2227)

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

Access APIMetadata Portal Metadata InformationContent Title&nbsp;Upper Hunter 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, Railway, Transport, Upper Hunter
Organization: Spatial Services (DCS)
Namoi CMA pre-European vegetation map, 2013. VIS_ID 4029

An extant vegetation map was developed for the Namoi Catchment Management Authority (Namoi CMA) in 2009 by integrating all existing spatial datasets, undertaking some targeted mapping in identified gaps, and applying a standard regional vegetation community (RVC) classification (ELA 2009a). A pre-European vegetation map was also assembled in 2009 by extrapolating RVCs into the modified landscape using landscape association information and remnant tree point data (ELA 2009b). VIS_ID 4029

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Digital soil maps for key soil properties over New South Wales, version 2.0

Digital soil maps (DSMs) are prepared through quantitative modelling techniques that are based on relationships between soil attributes and the environment. DSMs are presented over NSW for a range of key soil properties, including soil organic carbon (SOC), pH, cation exchange capacity, sum-of-bases, available phosphorous, bulk density, clay,  silt and sand (total and fine). The maps are at 100 m spatial resolution and cover ten soil depth intervals down to 2 m, consistent with widely used Australian and international systems. Random Forest decision tree modelling techniques were applied. Validation results for the maps indicate generally moderate to high performance and effectiveness. Maps of mean plus upper 95% and lower 5% prediction limits are available. The maps provide at least a useful first approximation of these soil properties across the State. The products are described more fully in the technical report: Gray (2023), Digital soil mapping of key soil properties over NSW, version 2.0 (76p). The report and raster layers can be downloaded through the NSW environmental data portal SEED (https://www.seed.nsw.gov.au/) and are also viewable through the DPE soil and landscape spatial viewer eSPADE (http://espade.environment.nsw.gov.au ). All maps, including prediction limits and intervals, are also available through the DPE data broker. 

Organization: NSW Department of Climate Change, Energy, the Environment and Water
New South Wales Murray Catchment Pre-European Broad Vegetation Types. VIS_ID 4108

Very Little is known about the origins of this data set. It is assumed to be created circa 1953, based in part (at least) on the report by C.W.E. Moore (1953) The vegetation of the South-Eastern Riverina, New South Wales. Aust. Journal of Botany. Volume 1 (3), Pages 485-547” 
If you have any additional information about this date set please contact data.broker@environment.nsw.gov.au  
New South Wales Murray Catchment Pre-European Broad Vegetation Types. Modelled pre-European Vegetation Types reclassified and grouped to produce a seamless NSW Murray Catchment data set.
VIS_ID 4108

Tags: Vegetation, pre-European, vegetation map
Organization: NSW Department of Climate Change, Energy, the Environment and Water