AndreaBozzo/ceres-open-data-index huggingface dataset:
Climate Vulnerability Assessment: Wine Grapes Cool Region

The <strong>Climate Vulnerability Assessment</strong> was designed to provide an overview of the impact of future climate change on all stages of production for the commodities and biosecurity risks assessed. The project used multicriteria analysis (MCA) models to produce assessments for the commodities and biosecurity risks in a consistent and comparable way, and a framework was developed to provide a rigorous, flexible and transparent process for assessing vulnerabilities and opportunities to climate change. Details of the approach and the climate data used in the assessments can be found in the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Methodology Report</a> which also details model exclusions and assumptions.

Assessments were undertaken on commodities grouped into 6 nodes: <em>Horticulture and Viticulture</em>, <em>Broadacre Cropping</em>, <em>Forestry</em>, <em>Extensive Livestock</em>, <em>Marine Fisheries</em>, as well as for a set of biosecurity risks related to these primary industry sectors. The <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment/publications-and-reports">Summary Report</a> gives details of the chosen commodities and biosecurity risks and summarises the high-level results.

Results Reports for each commodity and biosecurity risk are being released. Visit the <a href="https://www.dpi.nsw.gov.au/dpi/climate/climate-vulnerability-assessment">project's web pages</a> to access these reports and for further information.

This dataset contains maps of modelled climate suitability for the <strong>cool-region wine grapes</strong> model in the Horticulture and Viticulture node of the DPIRD Climate Vulnerability Assessment. Maps are provided (in GeoTIFF format) for each element of the model: the overall climate suitability, climate suitability maps for each phenophase and also for each phenophase/climate variable combination in the model. Data is provided for each of the eight global climate models (GCMs) used in the project, as well as the climate suitability derived from historical observations, along with the ensemble median for each map.

Tags: agriculture, biosecurity, climate change, climate vulnerability assessment, horticulture, planning
Organization: Department of Primary Industries and Regional Development (DPIRD)
Mine Rehabilitation Data

The mine rehabilitation dataset provides information on where mining operations in NSW have been conducted and are forecast to conduct ground disturbance and rehabilitation activities, as well as the final landuse and landform following the completion of mining and rehabilitation activities. This information is created and submitted by each large mine operator to fulfil spatial data submission requirements required under Schedule 8A of the Mining Regulation 2016. 

The collection of this spatial data is administered by the Resources Regulator in NSW who conducts reviews of the data submitted for assessment purposes. In some cases, information provided may contain inaccuracies that require adjustment following the assessment process by the Regulator. The Regulator will request data resubmission if issues are identified. 

Further information on the reporting requirements associated with mine rehabilitation can be found at https://www.resourcesregulator.nsw.gov.au/rehabilitation/mine-rehabilitation. 

Any data related questions should be directed to nswresourcesregulator@service-now.com

Tags: Industry-Mining, Mine Rehabilitation, Mining
Organization: NSW Resources - Resources Regulator
NSW Wetlands

The purpose of this project was to map the wetlands across New South Wales. Wetlands were identified using a combination of classification of spectral classes of Landsat MSS and TM imagery and ancillary wetland information to create information classes of broad wetland groups (floodplain wetlands, freshwater lakes, saline lakes, reservoirs, estuarine wetlands and coastal lagoons and lakes). The data will then be used to assess the wetland resource in each catchment.

For more details refer to:
Kingsford, R., Brandis, K., Thomas, R., Crighton, P., Knowles, E. and Gale, E., 2004. Classifying landform at broad spatial scales: the distribution and conservation of wetlands in New South Wales, Australia. Marine and Freshwater Research 55, 17-31. http://dx.doi.org/10.1071/MF03075 

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Forest Ecosystems: Vegetation of the Southern Forests. VIS ID 3858.

The Southern Forests region covers an area of south-eastern New South Wales south of Oberon and Kiama and east of Albury and Boorowa (between longitude 146o 56 and 147o 6 E, and between latitude 33o 2 and 37 o 6 S). The total area mapped was 3 086 200 hectares. Terrestrial, wetland, and estuarine vegetation of the Southern Forests region were classified into 206 vegetation groups and mapped at a scale between 1:25 000 and 1:100 000. VIS ID 3858.

Tags: Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Conservation value of NSW Travelling Stock Reserves (TSRs)

The “Linear Reserves – Managing Travelling Stock Reserves For Sustainable Conservation Outcomes” project was funded by the NSW Environmental Trust and delivered by Local Land Services. A key component of the project was the creation of a statewide dataset of conservation values on TSRs to assist public land managers with their asset management. This dataset is a compilation of ‘best available’ information from new and historical assessments of TSRs. Each TSR has been assigned High, Medium and Low conservation value and is contained in the field ‘BIOCVFINAL’.

Tags: Biodiversity, Conservation Value, Travelling Stock Reserves
Organization: Department of Primary Industries and Regional Development (DPIRD)
NSW Native Vegetation Extent Raster 5m v1.4

The purpose of this layer is to help discriminate native tree cover and woodlands from other terrain elements. 

The NSW Native Vegetation Extent 5m Raster v1.4 was developed under the State Vegetation Type Map program (SVTM) and presents a single surface raster that combines the best available information on native vegetation extent for NSW. The surface differentiates tree cover from candidate native grasslands, water, forestry plantations and a woodland matrix from non-native areas.

The surface is built on the 2011 5m NSW Woody Vegetation Extent (Fisher et al., 2016), with updates up to 2018 (Fisher et al., 2017), with the addition of candidate native grasslands, woodlands and wetlands from the visual interpretation of high-resolution imagery (OEH, 2017). 

The NSW Native Vegetation Extent 5m Raster v1.4 is an integration of five existing datasets which map candidate native vegetation and water bodies for NSW. The sourcing rules from each dataset are documented in the metadata statement at the link below.

All Koala Habitat Information Base (KHIB) datasets are available for download below under 'Dataset Relationship'

For further information on the data layers and their development, please see the <a href="https://www.environment.nsw.gov.au/research-and-publications/publications-search/koala-habitat-information-base-technical-guide">Koala Habitat Information Base Technical Guide</a>.

Tags: Native vegetation extent
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Modelled Data-Without Development-Paterson

Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Paterson 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
FireTools Cloud Results - NPWS Northern Inland 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 Northern Inland 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
Water Modelling-Stochastic Climate Data-Greater Sydney-Silo Station (v of xi) ID 067021-068000

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 (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
Water Modelling-Stochastic Climate Data-Greater Sydney

The stochastic climate data and 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.



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
State Heritage Register - Curtilages

A polygon dataset maintained by the Department Climate Change, Energy, the Environment and Water (DCCEEW) on behalf of the Heritage Council of NSW for items listed on the State Heritage Register under the Heritage Act, 1977. The data applies to a listing on the State Heritage Register and applies to a place, building, work, relic, moveable object, precinct, or land. The data is available in ESRI shapefile (.shp) format.

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Manly Lagoon Flood Study

This report comprises an overview of the work that has been undertaken by WMAwater on the Manly Lagoon Floodplain Risk Management Study and Plan. It builds on prior stage reports and, in accordance with the Brief, it additionally includes a discussion of: 
•   hydraulic and hazard categorisation; 
•   future development scenarios; 
•   review of climate change; 
•   flood damages assessment; and 
•   emergency management.

Tags: Manly Lagoon, flood risk management plan, flood study
Organization: Northern Beaches Council
Nambucca Local Government Area Vegetation 2013. VIS_ID 4473

This dataset represents fine-scale floristic vegetation mapping within eastern freehold lands of the Nambucca Local Government Area (LGA) and targeted mapping of Threatened Ecological Communities (TEC) outside public lands throughout the LGA. Vegetation has been classified into Plant community types (PCT), classes and formations, with the composition of respective vegetation species identified. Mapping was conducted by vegetation mapping ‘experts’ (NSW Office of Environment and Heritage) between 2013 and 2015, and was based on 3-D PLANAR modelling, aerial photography interpretation and field floristic assessment. Additionally, basic disturbance information is captured along with a selection of prominent weeds where identified by interpreters.
Vegetation mapping and a field verification program were conducted, in two stages, for parts of the Nambucca Shire Council Local Government Area (Nambucca LGA) using high-resolution digital aerial imagery. The aim of the project was to map the vegetation and plant community types in the coastal and lowland areas of the Nambucca LGA outside National Park and State Forest Estate in order to: • Define the extent of vegetation on the valley floors, to provide a refined and accurate layer of woody and non-woody vegetation cover for private land and coastal Crown Land within the Nambucca LGA. • Delineate the potential occurrence of Threatened Ecological Communities (TECs) on freehold lands and coastal Crown Land in the Nambucca LGA (Stage 1). • Map all coastal and lowland vegetation communities on freehold land and coastal Crown Land (Stage 2). • Identify areas of the Stage 2 mapped vegetation to be used in habitat modelling for the Koala (Phascolarctos cinereus). The vegetation map is suitable for use at a scale of 1:5000 and will support environmental planning and assessment at the level of local government areas and regions. The map is indicative of the vegetation and threatened ecological communities occurring within an individual property or development land area. However, it is recommended that decision making be based on further flora surveys and expert-driven site assessment to meet the requirements of the TSC Act and other planning instruments on a case-by-case basis.

VIS_ID 4473

Tags: Plant Community Type, Threatened Ecological Communities, Vegetation map
Organization: Nambucca Shire Council
Identification of corridors of river recovery for NSW Lower North Coast 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 Lower North Coast 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
Vegetation Map of the Bellingen Local Government Area, 2013. VIS_ID 4188

This dataset represents fine-scale floristic vegetation mapping within eastern freehold lands of the Bellingen Local Government Area. Vegetation has been categorized into communities, classes and formations, with the composition of respective vegetation species identified. Mapping was conducted by vegetation mapping ‘experts’ (NSW Office of Environment and Heritage) between September 2011 and December 2012, and was based on 3-D PLANAR modelling, aerial photography interpretation and field floristic assessment.

VIS_ID 4188

Tags: PCT, TEC, Vegetation
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Stochastic Climate Data-Greater Sydney-Silo Station (viii of xi) ID 068071-069000

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 (068070-069000) houses Silo Station IDs:
<ul>
<li>068071 - YERRINBOOL</li>
<li>068085 - NERRIGA (TOLWONG)</li>
<li>068089 - JOADJA (GREENWALK)</li>
<li>068108 - WOONONA (POPES RD)</li>
<li>068122 - CAWDOR (WOODBURN)</li>
<li>068166 - BUXTON (AMAROO)</li>
<li>068186 - BERRIMA WEST (MEDWAY(WOMBAT CREEK))</li>
<li>068190 - WATTAMOLLA (TAMOL)</li>
<li>068192 - CAMDEN AIRPORT</li>
<li>068209 - JAMBEROO  (DRUEWALLA)</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
CRAFTI Lower North East Floristics VIS 1082

Comprehensive Reserve Assessment Lower North East Aerial Photo Interpretation Mapping Project.;
;
Map of broad floristic types for the Lower North East NSW CRA region. Mapping followed conventional API techniques to record broad floristic groups and eucalypt subformations on clear plastic overlays at a scale of 1:25 000. The information exists as an alphanumeric code string, reflecting the floristic composition of the canopy. Overlays were scanned and converted into a rectified, attributed, topographically correct digital dataset. Photo information was compiled into 1:100 000 tiles for the project area but was later combined into a merged Upper North East NSW dataset.;
;
Areas where vegetation mapping already existed at an adequate scale and classification, were included within this broad dataset.  Some of those areas had been mapped by external agencies eg. councils and therefore licensing was required to cover this. ;
;
ANZLIC ID ANZNS0208000081;
;
VIS ID 1082

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