AndreaBozzo/ceres-open-data-index huggingface dataset:
NSW Council Roadside Reserves Conservation Values

Local Government NSW (LGNSW), as part of the Council Roadside Reserves (CRR) Project funded by the NSW Environmental Trust, facilitated the assessment of the conservation value of roadside reserves in a number of NSW Local Government Areas (LGAs) using a standard Rapid Assessment Method (RAM).  This line spatial dataset contains the results of the assessments completed by 18 LGAs.  

Conservation value is described as either:
<ul>
<li>High Conservation Value (HCV), </li>
<li>Medium Conservation Value (MCV), or </li>
<li>Low Conservation Value (LCV). </li>
</ul>

LGNSW facilitated the assessment of roadside reserves in a number of NSW Local Government Areas (LGAs) using a standard Rapid Assessment Method (RAM). The LGAs who undertook the assessment, and are included in the spatial data set, are:
<ul>
<li>Bellingen Shire Council</li>
<li>Blacktown City Council</li>
<li>Edward River Council</li>
<li>Glen Innes Severn Shire Council</li>
<li>Griffith City Council</li>
<li>Lockhart Shire Council</li>
<li>Moree Plains Shire Council</li>
<li>Muswellbrook Shire Council</li>
<li>Oberon Council</li>
<li>Parkes Shire Council</li>
<li>Penrith City Council</li>
<li>Port Stephens Council</li>
<li>Queanbeyan-Palerang Regional Council</li>
<li>Snowy Valleys Council</li>
<li>Temora Shire Council</li>
<li>The Hills Shire Council</li>
<li>Upper Hunter Shire Council</li>
<li>Wagga Wagga City Council</li>
</ul>

This spatial dataset contains the results of the assessments completed by 18 LGAs. This assessment describes conservation value as either High Conservation Value (HCV), Medium Conservation Value (MCV) or Low Conservation Value (LCV).

The RAM utilised for the assessment was prepared by NSW Local Land Services (LLS), the Office of Environment and Heritage (OEH) and LGNSW and is available at https://www.lgnsw.org.au/files/imce-uploads/581/Final%20RAM_Feb%202018.pdf. Further details are available at https://www.lls.nsw.gov.au/__data/assets/pdf_file/0017/801161/rapid-assessment-methodology.pdf.

Tags: Biodiversity, Conservation value, Reserves
Organization: Local Government NSW
Water Modelling-Modelled Data-Long-term average annual extraction limit (LTAAEL)-Paterson

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
Water Modelling-Palaeo Stochastic Climate Data-Greater Sydney-Silo Station (i of xi) ID 061001-063000

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 (061001-063000) houses Silo Station IDs:
<ul>
<li>061030 - HOWES VALLEY (KINDARUN)</li>
<li>061119 - WISEMANS FERRY (OLD PO)</li>
<li>061164 - LAGUNA (MURRAYS RUN)</li>
<li>061211 - COLO HEIGHTS (MOUNTAIN PINES)</li>
<li>061215 - RYLSTONE (KELGOOLA)</li>
<li>061217 - ST ALBANS (ESPIE ST)</li>
<li>061309 - MILBRODALE (HILLSDALE)</li>
<li>061334 - GLEN ALICE</li>
<li>061351 - PEATS RIDGE (WARATAH ROAD)</li>
<li>062029 - ILFORD (TARA)</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
Water Modelling-Modelled Data-Annual Permitted Take (APT)-Barwon-Darling

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-Stochastic Climate Data-Greater Sydney-Silo Station (iv of xi) ID 066001-067020

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 (066001-067020) houses Silo Station IDs:
<ul>
<li>066047 - PENNANT HILLS (YARRARA ROAD)</li>
<li>066063 - WAHROONGA RESERVOIR</li>
<li>066124 - PARRAMATTA NORTH (MASONS DRIVE)</li>
<li>066129 - BEECROFT</li>
<li>067002 - CASTLEREAGH (CASTLEREAGH ROAD)</li>
<li>067010 - GLENORIE (OLD NORTHERN RD)</li>
<li>067014 - MAROOTA (OLD TELEGRAPH ROAD)</li>
<li>067015 - BRINGELLY (MARYLAND)</li>
<li>067019 - PROSPECT RESERVOIR</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
Water Modelling-Modelled Data-Without Development-Gwydir

Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Gwydir Valley. Individual for each available river gauge data sets are attained via best available at the time of publishing hydrologic model/s and over the historic climate period (usually from early to mid-1890s to a water year previous to the date of publishing). Specific scenario data sets are expected to be updated annually and subject to quality requirements may be used in relevant studies.

The naming structure of the individual files is "Gauge number_watercourse@Gauge name".

Tags: DCCEEW - Water, DCCEEW - Water Analytics, modelling, surface water
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Sharing Plans-Groundwater Sources-Spatial Dataset

This dataset contains best endeavours aggregation and depiction of In Force Water Sharing Plan (WSP) – Groundwater Sources &amp; Management Zones derived from WSP’s gazetted under the NSW Water Management Act 2000. PLEASE NOTE: In the case of any discrepancy between this digital dataset and the published Water Sharing Plan (accessible on the www.legislation.nsw.gov.au site) the instrument as made by the Minister remains the authoritative source and should be used to both interpret the intent of the Plan and in subsequent decision making. Best endeavours have been made in collating relevant Water Sharing Plan boundary and attribution contained in this dataset. However, no warranty is provided as to the accuracy or currency of this representation. The department does not warrant and is not liable for the use of this material as per the licenced sharing conditions CC-BY 4.0.

Tags: Boundaries, DCCEEW - Water, DCCEEW - Water Analytics, Gazetted, Groundwater Sources, Plan, Planning, Spatial, WSP, Water, Water Sharing Plan, Water Sources, catchment
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Modelled Data-Annual Permitted Take (APT)-Paterson

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
NSW Cadastre Web Service

NSW Cadastre web service is a dynamic map of cadastral features extracted from the NSW Digital Cadastral Database (DCDB). It provides access to a state wide integrated database and a component of the foundation spatial datasets within the New South Wales. A “cadastre” is an official register of property showing boundaries. The DCDB contains current land titles only. The cadastral feature class layers provided through this web service includes: 
<ul>
<li>Large Rural Plan Extent </li>
<li>Rural Plan Extent </li>
<li>Section Extent </li>
<li>Plan Extent </li>
<li>Lot </li>
<li>Plan Extent Labels </li>
<li>Section Extent Labels </li>
<li>Lot Labels </li>
</ul>

The available attributes for point queries are: 
<ul>
<li>Lot/Section/Plan string </li>
<li>CadID</li>
</ul>



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



Tags: Cadastre
Organization: Spatial Services (DCS)
Reliable Surface Water in NSW

The Reliable Surface Water in NSW dataset was created by the Department of Climate Change, Energy, the Environment and Water – Water Group in 2013 to identify areas in NSW with a reliable surface water supply. 

Land with reliable surface water was defined as areas:
<ul>
<li>buffered by 150 metres from all regulated rivers and creeks</li>
<li>buffered by 150 metres from unregulated rivers and creeks with a 5th stream order or higher</li>
<li>buffered by 150 metres from 3rd and 4th stream order unregulated rivers and creeks</li>
</ul>

Reliable surface water mapping along with two other datasets (reliable rainfall of 350mm or more per annum for 9 out of 10 years, and highly productive groundwater) are used to identify land with access to a reliable water supply, forming part of the regional and site level assessment classification of Biophysical Strategic Agricultural Land (BSAL) at regional and site levels.

Under the Mining SEPP, all State Significant Development applications require a Site Verification Certificate to determine if their site contains any BSAL and therefore require further assessment from the Mining and Petroleum Gateway Panel. 



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, Reliable surface water areas, SEED-Layer-Catalogue, SURFACE WATER, regulated river, unregulated river
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Oxleyan Pygmy Perch Indicative Distribution in NSW

Oxleyan pygmy perch (Nannoperca oxleyana) are a small freshwater fish endemic to the coastal region of eastern Australia,
from northern NSW to south-eastern Queensland. They have specific habitat requirements and are patchily distributed within this range. They are an endangered species -
http://www.dpi.nsw.gov.au/fishing/speciesprotection/conservation/what-current/endangered-species/oxleyanpygmy-perch/oxleyan-pygmy-perch. 

The methods used to create the predicted current distribution of Oxleyan Pygmy Perch are as follows. As the species occur in wetlands, the method described fully in: NSW Department of Primary Industries (2015), NSW Fish Community Status 2015 – Final Report, did not map all potential habitat. In addition to this modelling, records and previous critical habitat mapping (2007) were used. Critical habitat stream lines were identified from the 2012 NSW Topographic Hydro Line. Wetland boundaries were delineated from SEPP (Dec 2016 version).

Tags: ECOLOGY, FISHERIES, FRESHWATER, HABITAT, THREATENED SPECIES
Organization: Department of Primary Industries and Regional Development (DPIRD)
Identification of corridors of river recovery for NSW Hunter 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 Hunter 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-Annual Permitted Take (APT)-Border Rivers

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-Stochastic Climate Data-Greater Sydney-Silo Station (ix of xi) ID 069001-070000

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 (069001-070000) houses Silo Station IDs:
<ul>
<li>069006 - BETTOWYND (CONDRY)</li>
<li>069010 - BRAIDWOOD (WALLACE STREET)</li>
<li>069016 - MILTON (SARAH CLAYDON VILLAGE)</li>
<li>069041 - CHARLEYONG</li>
<li>069049 - NERRIGA COMPOSITE</li>
<li>069062 - SNOWBALL</li>
<li>069132 - BRAIDWOOD RACECOURSE</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
NSW (Mitchell) Landscapes - version 3.1

This dataset (version 3.1) supersedes previous versions of the NSW Landscapes (Versions 2 &amp; 3). Version 3.1 now includes an attributes for biometric over-cleared landscape status, and corrects minor typographic errors regarding some landscape names. The Biometric over-clear landscape value is a regulation data set established under the Environmental Outcomes Assessment Methodology is managed in the BioNet VIS Classification Database.  

Background:
Version 3 included a revision of the polygon boundaries conducted in 2008. That revision corrected many alignment errors using SPOT 5 imagery as a reference layer. The revisions for Version 3 resulted in significant alterations to Landscape boundaries in some regions. See associated technical report 'ELA 2008 Editing Mitchell Landscapes'.

Version 2 maps were constructed from existing data and have a strong geologic, geomorphic and pedologic base. They do not include field validation/original mapping. Scale and reliability was constrained to 1:250,000 scale by the availability of suitable state-wide maps, although some source data (air photos/maps) were more detailed. A transect of map sheets was compared with other data during the mapping, it is believed reasonable product consistency has been attained. Details on the methodology, limitations and constraints in the devlopment of the original dataset are contained in P.B.Mitchell (2002) NSW Ecosystems Study: Background and Methodology (Unpublished). Information regarding v3 update are contained in: ELA (2008). Editing Mitchell Landscapes.

Tags: Mitchell Landscapes, NSW Landscapes
Organization: NSW Department of Climate Change, Energy, the Environment and Water