AndreaBozzo/ceres-open-data-index huggingface dataset:
Hydrologic Soil Groups (HSG) of NSW

This map provides an estimation of Hydrologic Groups of soils in NSW according to the four class system (A-D)
<ul>
<li>

A — soils having <strong>high infiltration</strong> rates, even when thoroughly wetted and consisting chiefly of deep, well to excessively-drained sands or gravels. These soils have a high rate of water transmission and have low water run-off potential.
</li>
<li>

B — soils having <strong>moderate infiltration</strong> rates when thoroughly wetted and consisting chiefly of moderately deep to deep, moderately fine to moderately coarse textures. These soils have a moderate rate of water transmission.
</li>
<li>

C — soils having <strong>slow infiltration</strong> rates when thoroughly wetted and consisting chiefly of soils with a layer that impedes downward movement of water, or soils with moderately fine to fine texture. These soils have a slow rate of water transmission.
</li>
<li>

D — soils having <strong>very slow infiltration</strong> rates when thoroughly wetted and consisting chiefly of clay soils with a high swelling potential, soils with a permanent high water table, soils with a claypan or clay layer at or near the surface, and shallow soils over nearly impervious material. These soils have a very slow rate of water transmission.
</li>
</ul>

The map uses the best available soils mapping coverage and was derived from a lookup table system linking a Hydrologic Group class to a particular soil type using the Great Soil Group (GSG) classification. Each dominant GSG has been assigned a Hydrologic Soil Group.

The classification is based on the United State's <a href="https://directives.sc.egov.usda.gov/OpenNonWebContent.aspx?content=17757.wba">Hydrologic Soil Group</a>  system published within the National Engineering Handbook (2007).

<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>Hydrologic Soil Groups of NSW</em>, Version 4.5, NSW Department of Planning, Industry and Environment, Parramatta.

Tags: Hydrologic Soil Groups
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Great Koala National Park Proposed Boundaries Version 1

This layer represents the proposed Great Koala National Park (GKNP) boundaries as of 19 December 2025 as approved by the GKNP Inter-agency Steering Committee and relevant NSW Government ministers.    Minor refinements will be made to the boundaries prior to reservation and an update capturing the changes will be issued as Version 2. For this reason, the different versions will not be made available as publicly downloadable spatial datasets.

The Proposed Boundaries layer identifies the portions of the original GKNP Assessment Area that are proposed for inclusion within the park, as well as those areas proposed to remain as State forest. The dataset also includes State forest areas outside the original Assessment Area that are now proposed for inclusion in the park (for example, existing flora reserves). The boundaries have been spatially aligned with dedicated (gazetted) State forest tenure boundaries to ensure topological consistency and boundary accuracy.  Area measurements in hectares are provided for each area of dedicated State forest proposed to become GKNP and proposed to remain as State forest.

Tags: Koala, National Park, Park Assessment, Park Planning, State Forest
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Modelled Data-Annual Permitted Take (APT)-Hunter

Annual permitted take (APT) is a critical component of sustainable resource management, balancing the need for water resource utilisation with the preservation of ecosystems. It is a crucial mechanism for ensuring the long-term annual sustainable diversion limits (SDLs) set under the Murray-Darling Basin Plan are not exceeded, and that enough water is available for the environment. APT is the maximum amount of water permitted to be taken for consumptive purposes each year, and has been enforced since July 2019

A method for determining APT is part of each water resource plans (WRPs) developed by the Basin states under the Commonwealth Water Act 2007. When the method is applied over the Basin Plan reference period (1895–2009), the annual APT must be equal to or less than SDL.

An APT model is a major component of the APT calculation method. It is used to calculate the APT that would be expected in a year, given that year’s water availability and climatic conditions. APT is calculated at the end of each year and compared to actual take in that year, with the difference added to a public register of take. SDL compliance is tracked using the cumulative difference (from water year 2019–20).

APT models are configured using estimates of the river management and development (public and private infrastructure) conditions in a river system across the water resource plan period. These estimates include:

• irrigated crop area and planting decisions

• water entitlement holders’ distribution and use patterns

• how storages are operated to supply water for consumption and the environment.

Tags: DCCEEW - Water, DCCEEW - Water Analytics, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Modelled Data-Annual Permitted Take (APT)

Annual permitted take (APT) is a critical component of sustainable resource management, balancing the need for water resource utilisation with the preservation of ecosystems. It is a crucial mechanism for ensuring the long-term annual sustainable diversion limits (SDLs) set under the Murray-Darling Basin Plan are not exceeded, and that enough water is available for the environment. APT is the maximum amount of water permitted to be taken for consumptive purposes each year, and has been enforced since July 2019

A method for determining APT is part of each water resource plans (WRPs) developed by the Basin states under the Commonwealth Water Act 2007. When the method is applied over the Basin Plan reference period (1895–2009), the annual APT must be equal to or less than SDL.

An APT model is a major component of the APT calculation method. It is used to calculate the APT that would be expected in a year, given that year’s water availability and climatic conditions. APT is calculated at the end of each year and compared to actual take in that year, with the difference added to a public register of take. SDL compliance is tracked using the cumulative difference (from water year 2019–20).

APT models are configured using estimates of the river management and development (public and private infrastructure) conditions in a river system across the water resource plan period. These estimates include:

• irrigated crop area and planting decisions

• water entitlement holders’ distribution and use patterns

• how storages are operated to supply water for consumption and the environment.

The data set provided contains flows at several gauges in each river system, as simulated by the annually extended APT model. Notwithstanding the model’s inherent limitations, these are a fair representation of those we would expect under current conditions development and operation rules. They can be compared with flows simulated by other key scenario models, such as long-term average annual extraction limit (LTAAEL) model or without development (WOD) model.

Tags: DCCEEW - Water, DCCEEW - Water Analytics, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Native Title Determination Outcomes

Determination area showing categorisation of the existence or otherwise of native title for portions of the area. The native title outcomes depicted include: Native Title exists (exclusive), Native Title exists (non-exclusive), Native Title does not exist and Native Title extinguished. The areas shown according to this classification are based on the best information available to the Tribunal at the date of determination, and should be considered indicative only. The Tribunal is not able to map all native title outcome areas included in determinations.

Tags: NNTT, determinations, native title, outcomes
Organization: National Native Title Tribunal
Identification of corridors of river recovery for NSW Sydney Metropolitan 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 Sydney Metropolitan 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
NSW Imagery

The NSW Imagery web service provides access to a repository of the Spatial Services (DCS) maintained standard imagery covering NSW, plus additional sourced imagery. It depicts an imagery map of NSW showing a selection of LANDSAT® satellite imagery, standard 50cm orthorectified imageries, High resolution 10cm Town Imageries. It also contains high resolution imageries within multiple areas of NSW within DFSI, Spatial Services maintained projects and captured by AAM, VEKTA and Jacobs (previously SKM). The image web service is updated periodically when new imageries are available. The imageries are shown progressively from scales larger than 1:150,000 higher resolution imagery overlays lower resolution imagery and most recent imagery overlays older imagery within each resolution. The characteristics of each image such as accuracy, resolution, viewing scale, image format etc varies by sensor, location, capture methodology, source and processing. For specific information about the metadata for the imagery used, please refer to the individual data series within the NSW Data Catalogue. As a consequence of the variety of source data, each map displayed by the user within this map service may have a number of copyright permissions. It is emphasised that the user should check the use constraints for each image data series.



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



Organization: Spatial Services (DCS)
Koala Sightings – BioNet

Koala (Phascolarctos cinereus) species sightings in NSW.  Sightings are derived from the BioNet Species Sightings oData Web service, via an ETL process which generates geometries for use in the spatial web services listed below. Records are updated daily.

Supporting information: Koala - Threatened Species Profile https://www.environment.nsw.gov.au/threatenedspeciesapp/profile.aspx?id=10616

Tags: NSW Koala Strategy
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Acid Sulfate Soils Risk

This project has mapped the occurrence of Acid Sulfate Soils (ASS) along the coast of NSW and provides information that will assist land management and rehabilitation. In their natural state, these soils are submerged but when exposed or drained, they become oxidised and sulphuric acid is produced. This reduces soil fertility, kills vegetation and reduces fish populations. The identification of the location and extent of potential acid sulfate soils (PASS) is the essential first step in managing this problem. 128 map sheets were mapped for risk of occurrence of ASS at a scale of 1:25,000. This project was co-funded by the Natural Resources Audit Council (NRAC), and was revised in 1997.

In this version, (v2.5.1), ASS risk maps have not been remapped, however minor attribution changes to the GIS linework have occurred to fix errors and some additional original information has been incorporated into the attribute tables. This data provides maps of elevation, landform process groups and landform elements for the mapped area.  The symbology for the ASS probability risk map classes can also now be simplified to reflect only probability, potential depth from the surface and presence of areas with Pleistocene sediments or ASS scalding.

<strong>Related Datasets:</strong> The dataset area is also covered by the mapping of the <a href="http://datasets.seed.nsw.gov.au/dataset/soil-and-land-resources-of-central-and-eastern-nsw">Soil and Land Resources of Central and Eastern NSW</a> and <a href="http://datasets.seed.nsw.gov.au/dataset/published-soil-landscapes-of-central-and-eastern-nsw37d37">Soil Landscapes of Central and Eastern NSW</a>
 and <a href="http://datasets.seed.nsw.gov.au/dataset/hydrogeological-landscapes-nsw-act">Hydrogeological landscapes of NSW</a>.

<strong>Online Maps:</strong> This and related datasets 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>References:</strong> Naylor, SD, Chapman, GA, Atkinson, G, Murphy CL, Tulau MJ, Flewin TC, Milford HB, Morand DT, 1998, <em>Guidelines for the Use of Acid Sulfate Soil Risk Maps</em>, 2nd ed., Department of Land and Water Conservation, Sydney.

Tags: Acid Sulfate Soils
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Stochastic Climate Data-Greater Sydney-Silo Station (iii of xi) ID 063071-066000

The 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 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 (063071-066000) houses Silo Station IDs:
<ul>
<li>063071 - PORTLAND (JAMIESON ST)</li>
<li>063072 - LITTLE HARTLEY (LITTLE GATES)</li>
<li>063077 - SPRINGWOOD (VALLEY HEIGHTS)</li>
<li>063092 - WENTWORTH FALLS POST OFFICE</li>
<li>063095 - YERRANDERIE (PRIVATE TOWN)</li>
<li>063118 - BILPIN (FERN GROVE)</li>
<li>063132 - LIDSDALE (MADDOX LANE)</li>
<li>063164 - LITHGOW (KYLIE PARK)</li>
<li>063185 - GLENBROOK BOWLING CLUB</li>
<li>063226 - LITHGOW (COOERWULL)</li>
<li>063227 - WENTWORTH FALLS COUNTRY CLUB</li>
<li>063246 - MOUNT WILSON (CLARINE)</li>
<li>063247 - GLENARA</li>
<li>063301 - BOWEN MOUNTAIN (GRANDVIEW LANE)</li>
<li>063307 - TARALGA (KIRIWIN)</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
Cumberland Subregion BIO Map Biodiversity Corridors of Regional Significance

The Biodiversity Investment Opportunities Map (BIO Map) is a key deliverable of the NSW Government’s $40 million Green Corridors program, a Government priority action identified in NSW 2021: A Plan to make NSW number one. The map was prepared with funding provided by the NSW Environmental Trust.

BIO Map has been prepared for the Cumberland subregion, a 275,693-hectare area containing the Cumberland Plain, a broad shale basin in Western Sydney. The areas identified for investment are termed priority investment areas, and include core areas and biodiversity corridors of regional significance (this layer).

Mapping criteria were used to identify and map priority investment areas, and targeted stakeholder consultation was conducted to inform the outputs of the project. Stakeholders consulted included the Commonwealth Department of the Environment, six state government authorities, 16 local councils and eight non-government organisations.

The final Cumberland subregion BIO Map identifies a network of 87 core areas and 27 regional biodiversity corridors within the Cumberland subregion. The 87 core areas include all of the Priority Conservation Lands identified by the Cumberland Plain Recovery Plan. The total area represented within the mapped priority investment areas is 42,124 hectares. Mapped regional corridors make up 17,727 hectares (excluding areas mapped as both regional corridors and core areas).

The BIO Map project aims to achieve better biodiversity outcomes by directing biodiversity investment funding to the strategic locations of greatest benefit. A landholder’s right to carry out agricultural and developmental activities on their land are not altered by their property being identified as a priority investment area on the BIO Map. The BIO Map identifies areas where landowners have more opportunities to receive funding to protect their bushland. Any involvement by a landowner in such programs is entirely voluntary.

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Modelled Data-Long-term average annual extraction limit (LTAAEL)-Belubula

Long-term average annual extraction limit (LTAAEL) is a regulatory limit set on annual water extractions from a river system. It ensures that average extractions over the long term are sustainable, and thus help prevent environmental degradation.

In NSW these limits are defined by water sharing plans (WSPs). Every WSP outlines how the water in a river system will be shared over a 10-year period. They also define:

• how LTAAEL compliance is to be assessed for each river system

• what conditions will trigger noncompliance action

• what compliance action can be taken.

The Natural Resources Commission regularly reviews all WSPs to ensure extractions from each river system are within the limits set, and the Murray-Darling Basin Authority reviews sustainable diversion limit (SDL) compliance each year.

To assess compliance, we model LTAAEL using a model that has been configured to represent the development and management rules defined by a system WSP (this refers to as LTAAEL model). We then compare this modelled LTAAEL with the modelled under current conditions long-term average annual extractions (LTAAEs) (which are usually those modelled by the annual permitted take, or APT, model). Although, the LTAAEL includes multiple types of water use, the compliance assessment is based on the total. We do this annually using the best available models, and the outcomes are published on the DPE website.

Where river system’s LTAAE exceed LTAAEL, the system is considered noncompliant. If the noncompliance trigger conditions in the WSP are met, noncompliance action is taken.

The data set provided contains flows at several gauges in each river system, as simulated by the annually extended LTAAEL model. Notwithstanding the model’s inherent limitations, these are a fair representation of those we would expect under WSP operation and development conditions. They can be compared with flows simulated by other key scenario models, such as annual permitted take (APT) model or without development (WOD) model.

Tags: DCCEEW - Water, DCCEEW - Water Analytics, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
River Condition Index (RCI)

The <strong>NSW River Condition Index (RCI)</strong> is the primary long-term reporting tool for assessing riverine condition. It combines a range of indicators into a single condition score, including riparian vegetation, geomorphic condition, hydrologic stress, biodiversity, catchment disturbance, and water quality.

The RCI was developed in 2012 using the Framework for the Assessment of River and Wetland Health (FARWH) approach. The FARWH is an accepted method applied throughout Australia that uses existing data collection activities across jurisdictions and converts them into a standardised and nationally comparable representation of river health.

The River Condition Index: method document <em>(aka River Condition Index Manual_Method Report.pdf)</em> provides a detailed explanation of the index and how it has been applied across NSW. This reflects the latest version of the RCI product.



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 Science, Natural Resource Management, Water Management, assessment and evaluation, ecological, evaluation and reporting, monitoring, river condition index, spatial
Organization: NSW Department of Climate Change, Energy, the Environment and Water