AndreaBozzo/ceres-open-data-index huggingface dataset:
NSW Property Web Service

The NSW Property web service provides access to a polygon feature class that spatially represents an aspatial property description as provided by the Valuer Generals Department in their ValNet database. The property features provided through this web service includes: 
<ul>
<li>Large Rural Property </li>
<li>Rural Property </li>
<li>Semi-Rural Property </li>
<li>Urban Property </li>
</ul>

The available attributes for point queries are: 
<ul>
<li>Address string </li>
<li>House Number</li>
<li>PropID No labels are displayed.</li>
</ul>



<em>NOTE: Please contact the Customer HUB https://customerhub.spatial.nsw.gov.au/ for advice on datasets access.</em>



Organization: Spatial Services (DCS)
The Native Vegetation of the Woronora OHares and Sydney Metropolitan Catchments (NPWS 2003) VISID 2387

This layer contains digital vegetation mapping of the NPWS (2003) Native vegetation of the Woronora, O'Hares and Metropolitan Catchments. NSW National Parks and Wildlife Service. The layer includes the boundaries of vegetation communities and lists attributes including vegetation community, structure and disturbance.

NPWS (2003) Native vegetation of the Woronora, O'Hares and Metropolitan Catchments. NSW National Parks and Wildlife Service, Sydney

ANZNS0208000234

VIS ID 2387

Tags: TEC, Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
NSW Land Use 2007

A data set of land use between June 2000 and June 2007 for New South Wales.  Land use is classified to three separate classification schemes.  These classification schemes are:3
<ul>
<li>NSW Land Use Mapping Program (LUMAP).</li>
<li>NSW SCALD  (Standard Classification for Attributes of Land) Classification</li>
<li>ALUM (Australian Land Use and Management) Classification.</li>
</ul>

The LUMAP Classification is DECC's most recent classification for mapping of land use classes for NSW.  It is a simple numeric classification, open-ended to enable additional classes to be added.

Prior to LUMAP, the SCALD classification was the standard for mapping of land use in NSW.  It is a combined alpha-numeric classification system.

The ALUM classification is based upon the modified Baxter &amp; Russell classification and presented according to the specifications contained in http://adl.brs.gov.au/mapserv/landuse/index.cfm?fa=app.ALUMClassification.

Version 6 of the classification describes the land use classes.  Earlier copies of the data set may have used Versions 4 or 5.

The mapping was commenced in April 2001 and completed by June 2007.  The date of the data set is set as the land use occurring at the time the satellite imagery was acquired, which can range from 1999 to 2006. This dataset was updated in May 2011 to include values in the vacant attribute fields of Source, Source Date, Source Scale, Reliability and LU Mapping Date.

Tags: Agriculture, Cropping, Environment, Forestry, Horticulture, Land Management, Land Use, Landuse, Planning, Plantation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Palaeo Stochastic Climate Data-Greater Sydney-Silo Station (v of xi) ID 067021-068000

The palaeo stochastic climate data include 10,000 replicates of 130-yr daily data sets of rainfall and potential evapotranspiration generated using observed data sets without and with combined palaeo climate data. This work has been undertaken by researchers at the University of Newcastle and used in modelling for Greater Sydney Water Strategy.

This particular Asset (067021-068000) houses Silo Station IDs:
<ul>
<li>067021 - RICHMOND - UWS HAWKESBURY</li>
<li>067024 - ST MARYS BOWLING CLUB</li>
<li>067026 - SEVEN HILLS (COLLINS ST)</li>
<li>067029 - WALLACIA POST OFFICE</li>
<li>067076 - QUAKERS HILL TREATMENT WORKS</li>
<li>067084 - ORCHARD HILLS TREATMENT WORKS</li>
<li>067086 - DURAL (OLD NORTHERN ROAD)</li>
<li>067089 - WEST PENNANT HILLS (CUMBERLAND)</li>
</ul>



Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the <a href="https://water-hub.seed.nsw.gov.au/thread/search">NSW Water Hub which has an online forum</a> you can join.

Tags: Climate Change perturbed, Climate Data, DCCEEW - Water, DCCEEW - Water Analytics, Observed Climate, Stochastic Climate, Water-Modelling, modelling
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Private Native Forestry Koala Prescription Map

The PNF Koala Prescription Map identifies areas that are mapped as high koala habitat suitability for the purpose of implementing the koala protections under the Private Native Forestry Codes of Practice.
The dataset represents a predictive habitat model with inputs from a range of scales and accuracies. While the map has been produced at a 5x5m scale, on-ground verification at the site scale is provided for under the PNF Codes of Practice.

For more information, including details of map lineage (production method) and regulatory prescriptions, please see: https://www.lls.nsw.gov.au/help-and-advice/private-native-forestry/private-native-forestry-code-of-practice

Tags: Koala, PNF
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Great Soil Group (GSG) Soil Type map of NSW

This map provides soil types across NSW using the Great Soil Group classification. It uses the best available soils resource mapping coverage incorporating over 55 different datasets of multiple scales. Hence the published scale of this linework is between 1:100,000 - 1:500,000 depending on the dataset it originated from.  Further information about these datasets are available in the 'Lineage', 'Positional accuracy' and 'Attribute accuracy' sections of the metadata.

The dominant soil type for each mapping unit was allocated using a modified listing of GSG soil types outlined in Table 1 (see dataset package). 

Individual map units have been grouped and dissolved according to the GSG soil type field to produce the final map.

<strong>Online Maps:</strong> This dataset can be viewed using <a href="http://espade.environment.nsw.gov.au/">eSPADE</a> (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 <a href="https://geo.seed.nsw.gov.au/Public_Viewer/index.html?viewer=Public_Viewer&amp;locale=en-AU">SEED Map</a>; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area.

<strong>Reference:</strong> Department of Planning, Industry and Environment (2021) <em>Soil Group (GSG) Soil Type map of NSW</em> - Version 4.5, Department of Planning, Industry and Environment, Parramatta.

Tags: soil type
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Vegetation map by 3D digital image interpretation: Vegetation of central-southern NSW - VIS ID 3884

This project produced high accuracy (87%) vegetation map of NSW VCA Plant Community Types (Benson et al. 2006; Benson 2008). This a priori vegetation classification is consistent with vegetation types in the NSW Government's assessment tools such as the Property Vegetation Plan (PVP) Developer and the Biobanking vegetation types database. VIS ID 3884.

These data replace the following VIS datasets:
VIS ID 3798 - coota_junee_API_3798;
VIS ID 3799 - ardNarra_API_3799;
VIS ID 3800 - uranaLock_API_3800;
VIS ID 3812 - wagga_API_3812

Tags: PCT, TEC, Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Key Fish Habitat

One of the objectives of the Fisheries Management Act 1994 is to 'conserve key fish habitats'.

To achieve the objectives of the Fisheries Management Act, 1994 DPI-Fisheries has identified 'Key Fish Habitats' – those aquatic habitats that are important to the sustainability of the recreational and commercial fishing industries, the maintenance of fish populations generally, and the survival and recovery of threatened aquatic species.

A policy definition of the term 'Key Fish Habitat' (KFH) was developed to guide the compilation of maps. KFH was defined to include all marine and estuarine habitats up to highest astronomical tide level (that reached by 'king' tides) and most permanent and semipermanent freshwater habitats including rivers, creeks, lakes, lagoons, billabongs, weir pools and impoundments up to the top of the bank.

Small headwater creeks and gullies (known as first and second order streams), that only flow for a short period after rain are generally excluded, as are farm dams constructed on such systems. Wholly artificial waterbodies such as irrigation channels, urban drains and ponds, salt and evaporation ponds are also excluded except where they are known to support populations of threatened fish or invertebrates.

Feedback or questions relating to Key Fish Habitat Mapping data can be sent to:  fisheries.data@dpi.nsw.gov.au

Tags: Biota, ECOLOGY Habitat, FISHERIES, Freshwater, Threatened species
Organization: Department of Primary Industries and Regional Development (DPIRD)
FireTools Cloud Results - NPWS Hunter Central Coast Branch

FireTools Cloud is a web-based GIS processing environment developed by the NSW Bushfire Risk Management Research Hub, a NSW focused research partnership between the NSW Department of Planning, Industry and Environment, the University of Wollongong, Western Sydney University, the University of NSW, the University of Tasmania, the University of Melbourne and the NSW Rural Fire Service. It is designed to replicate and replace the functionality of the FireTools II ArcGIS processing plugin to assist in fire management planning. Users upload a datapack containing the GIS files used to run a standard FireTools II analysis, configure the layers and fields that define the analysis, and submit the analysis for processing. After processing is complete, users can download a results pack containing GIS files with analysis results. Selected results are distributed for use as described below.

Results are true and correct only for the reserves within the NPWS Hunter Central Coast Branch. Fire history outside the reserves is incomplete so results should not be relied upon.

Layers in this data package:
Heritage threshold status: Input vegetation classified into LongUnburnt, WithinThreshold, Vulnerable, TooFrequentlyBurnt, Unknown and NoFireRegime (raster and vector). This layer is used to monitor the status of vegetation across the study area with respect to its biodiversity-related impacts of fire.

Number of times burnt: The number of times any given point within the study area has been intersected by a burnt area polygon in the fire history (raster and vector)

Time Since Last Fire: The number of years since any given point within the study area has been intersected by a burnt area polygon in the fire history (raster and vector)

Time Since Last Fire SFAZ: The number of years since any given Strategic Fire Advantage Zone (SFAZ) within the study area has been intersected by a burnt area polygon in the fire history. This is then classified into 3 time slices whereby 0-6 years = Recently Treated, 7-10 years = Monitor OFH in the field and &gt;10 years = Priority for Assessment and Treatment. (raster and vector). This layer is used to find candidate burn blocks to assess for addition into a hazard reduction program of works.

Vegcode: A simple display layer showing the input vegetation groups over the study area. This is not a fully attributed vegetation layer – it is designed as a simple visual (raster only).

VegBase: This is a copy of the input veg used, showing just the VEG code, MIN, MAX. Can be used to analyse what is driving results in a given location.

Data is updated up to 4 times per year.

Tags: Fire Management, Fire Planning, bushfire
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Hornsby Local Government Area Vegetation Communities, 2008. VIS_ID 4471

Between 1990-1993, the native vegetation communities in the bushland of Hornsby Shire were identified and mapped. The present study, carried out between 2006 and 2008, updates the classification and mapping of the communities.
The survey area included all of the Hornsby LGA, from Eastwood to Brooklyn to Wisemans Ferry, excluding Marramarra NP, Muogamarra NR, Long Island NR, and Ku-ring-gai Chase NP east of the Sydney-Newcastle Freeway.

In the initial study, the classification of the plant communities was based on the floristic composition of the tallest vegetation layer (usually the tree species composition). The assessment was subjective but based on species data from a total of 404 sample sites. An additional 209 sites were examined for the updated study. The classification has been refined to include 8 EECs, two rainforest communities (instead of one in the original classification), and recognition of the distinctive vegetation of Dangar Island as a separate community.
VIS_ID 4471

Please note the related datasets:
1. Hornsby Local Government Area Threatened Ecological Communities, 2008. VIS_ID 4470 
2. Hornsby Local Government Area Remnant Trees, 2008. VIS_ID 4472

Organization: Hornsby Shire Council
Austlang dataset

Austlang provides information about Indigenous Australian languages which has been assembled from referenced sources.

The dataset provided here includes the language names, each with a unique alpha-numeric code which functions as a stable identifier, alternative/variant names and spellings and the approximate location of each language variety.

__Please note this is a live dataset and is updated regularly.__

__As this dataset file is generated live, please be patient as it downloads.__

The complete AustLang resource can be found on the AIATSIS website at https://aiatsis.gov.au/austlang/

Tags: Aboriginal and Torres Strait Islander, Aboriginal and Torres Strait Islander Languages, Aboriginal and Torres Strait Islander peoples, Aboriginal peoples, Archive, Indigenous, Language, Languages, Library, Torres Strait Island people
Organization: Australian Institute of Aboriginal and Torres Strait Islander Studies (AIATSIS)
Water Modelling-Modelled Data-No Plan Environmental Water (No PEW) - Macquarie

To construct a high-level evaluation scenario for the Water Sharing Plan (the Plan) for the Macquarie and Cudgegong Regulated River Water Source all account-based Plan Environmental Water (PEW) rules and Held Environmental Water (HEW) licences have been removed from the Current Conditions model. Specifically, it included the following PEW rules stipulated in Section 14 of the Plan:
<ul>
<li>

Environmental Water Allowance for Cudgegong
</li>
<li>

The Macquarie Translucent sub-allowance
</li>
<li>

Macquarie Active sub allowance
</li>
</ul>

The flow at the following key sites within the river system has been considered in the evaluation analysis (with data provided for an extended range of sites):

1) 421019_Cudgegong@YambleBridge

2) 421001_Macquarie@Dubbo

3) 421004_Macquarie@WarrenWeir

4) 421012_Macquarie@Carinda

5) Combination of 421088_MareboneBreak and 421090_Macquarie@DSMareboneWeir

6) 421146_Gum Cowal @ B/Cation

7) 421022_Macquarie@OxleyStation

8) 421090_Macquarie@DSMareboneWeir



Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the <a href="https://water-hub.seed.nsw.gov.au/thread/search">NSW Water Hub which has an online forum</a> you can join.

Tags: DCCEEW - Water, DCCEEW - Water Analytics, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Illawarra Shoalhaven Regional Biodiversity Corridors 2023

This dataset is “Regional Biodiversity Corridor Mapping” which is a sub-component of “High Environmental Value” (HEV) land, as mapped and referred to in the Illawarra Shoalhaven Regional Plan (DPIE 2021). This dataset updates previous regional corridor mapping.  The purpose of the mapping is to protect, manage and enhance the functionality of identified corridors, particularly in relation to planning processes.

Tags: Biodiversity Assessment, Biodiversity Planning, conservation planning, corridors, regional planning
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Identification of corridors of river recovery for NSW Hawkesbury Nepean catchments

By connecting corridors of river recovery, resilience can be built into river systems to mitigate against future floods and droughts driven by anthropogenic disturbance or climate extremes. This database can be used to systematically analyse where corridors of geomorphic river recovery could be created via conservation or rehabilitation. Analysis is undertaken in ArcGIS using the recovery potential layer of the Open Access NSW River Styles database that is available from DPIE (www.dpie.nsw.gov.au).  The River Styles database was accessed in January 2021. The database and associated workflow identifies reach and loci connections based on different combinations of recovery potential classes. Reach connections are defined as an upstream to downstream section of river that is connected end-to-end, and loci connections are defined as isolated sections of river from which recovery can be seeded and extended into adjacent reaches. This map for all freshwater stream length of the NSW Hawkesbury Nepean catchments, shows the spatial distribution of thirteen connections based on combinations and sequences of conservation, strategic and high recovery potential targets. Other connections of interest to river practitioners can be identified and &gt;80 different user-defined scenarios run using a workflow available at protocols.io.

Attribution to: Macquarie University, D Agnew and K Fryirs (2022) Corridors of river recovery database and workflow. Data accessed from The Sharing and Enabling Environmental Data Portal.

This work is funded by an Australian Research Council Linkage project based at Macquarie University with industry partners Landcare Australia and Hunter-Central Rivers Local Land Services. 

This work is published in two Open Access papers:
<ul>
<li>Agnew D, Fryirs K (2022) Identifying corridors of river recovery in coastal NSW Australia, for use in river management decision support and prioritisation systems. PLoS ONE 17(6): e0270285. https://doi.org/10.1371/journal.pone.0270285</li>
<li>Agnew D, Graves BP, Fryirs K (2022) A GIS workflow for the identification of corridors of geomorphic river recovery across landscapes. PLoS ONE 17(12): e0278831. https://doi.org/10.1371/journal.pone.0278831 </li>
</ul>

The workflow is available at: https://www.protocols.io/view/a-gis-workflow-for-the-identification-of-corridors-n2bvj8625gk5/v1

Tags: prioritisation, recovery potential, river condition, river rehabilitation
Organization: Macquarie University
Water Modelling-Modelled Data-Without Development

A without development model scenario is created by starting with a current conditions model scenario and switching off as much development in the model as possible. Typically this means removing all water users such as irrigation and towns along with infrastructure such as dams and weirs.

A without development scenario is useful in understanding the extent to which human uses of the river have altered flows.

This type of model scenario is sometimes known and a “natural case” but this terminology has fallen out of favour over time as a true natural condition scenario would attempt to reflect catchment conditions such as land use, vegetation cover and so on that existed prior to human interventions.

Tags: DCCEEW - Water, DCCEEW - Water Analytics, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Australia's Identified Mineral Resources 2025

Australia's Identified Mineral Resources is an annual national assessment that takes a long-term view of Australian mineral resources likely to be available for mining. The assessment also includes evaluations of long-term trends in mineral resources, world rankings, summaries of significant exploration results and brief reviews of mining industry developments.

Tags: Mineral deposit, Mineral exploration, Published_External, Resource geoscience, Resourcing Australia’s Prosperity, critical minerals, government geoscience, mineral resource, resource geoscience
Organization: Geoscience Australia Data
Department of Supply and Development, Commonwealth Copper & Bauxite Committee 2nd. Report: interim report on copper resources

The Copper and Bauxite Committee, at its initial meeting, saw the need for the coordination of the mass of reports already in existence throughout Australia in Government and private hands, and obtained the services of Mr. M.A. Mawby, Mining Engineer, as Technical Secretary to assemble them. At the last meeting of the Committee, held on 1st August 1941 in Sydney, a review was made of this report, together with relevant other information supplied by Committee members.

Tags: AU, Earth Sciences, GA Publication, PG, Published_External, Record, mineral deposits, resource assessment
Organization: Geoscience Australia Data
Historical Aerial Photography Flight Lines and Photo Centres

This dataset shows where historical aerial photographs were taken, including the location of photo centres and the flight paths of the aircraft. A photo centre is the point on the ground directly beneath the camera when the photo was taken. A flight line is the path the aircraft flew when taking a series of photos.

Positions were obtained in different ways, depending on available information:
•   flight line diagrams: maps or drawings showing aircraft flight paths (also called ‘runs’) and photo centres locations (‘centroids’) in relation to ground features
•   georeferenced photo frames: photo frames aligned with known locations on a map
•   estimation: where direct information was limited, photo centres were estimated using available data
Each photo centre and flight line may include details such as:
•   capture date
•   the type of camera and film used
•   scanning status (for example, whether the photo has been scanned and is available digitally)

The dataset does not include the actual photographs. To view the photos, use the <a href="https://digitalatlas.maps.arcgis.com/home/item.html?id=9a0ecbafe94f49829712b46fc69186ff">Australian Government Historical Aerial Photo Explorer</a>  app. This app allows people to search, view, and download the historical aerial photos themselves.

Tags: Earth and space science informatics, aerial, historical, photography, photos
Organization: Geoscience Australia Data
galileoQC

galileoQC is a python package for quality control (QC) and quality assurance (QA) of data from airborne gravimetry and airborne gravity gradiometry (AGG) surveys, and identifying line sections that do not meet required survey technical specifications. 

The code is designed largely to align with Geoscience Australia’s Airborne Gravimetry and Gravity Gradiometry Technical Specifications and include functions to:
<ol> <li>check the navigation and positioning of the aircraft on the survey lines, including Global Navigation Satellite System (GNSS) quality measures;</li><li>calculate and display the statistics of the collected data;</li><li>verify the accuracy of the calculated corrections to the gravimetry data;</li><li>report on the noise characteristics of gravimetry data, including repeat line data quality, even-odd grid analysis, and intersection differences;</li><li>report on the noise characteristics of gradiometry data, including difference noise, in line sum, Frobenius norm and high frequency noise;</li><li>interpolate data to regular grids, and image and display those grids;</li><li>check consistency of supplied data in various forms.</li></ol>

Additional checks unrelated to the GA technical specifications are also available, allowing the data to be checked against practice and/or to provide additional information for the person performing the QC.

Tags: Airborne Gravity, Airborne Gravity Gradiometry, Data quality, Gravimetrics, Published_External, Python, Quality Assurance, Quality Control
Organization: Geoscience Australia Data