AndreaBozzo/ceres-open-data-index huggingface dataset:
Apparent conflicting Roadian–Wordian (middle Permian) CA-IDTIMS and palynology ages from the Canning Basin, Western Australia

U–Pb dating of zircons from thin middle Permian tuffs in the Canning Basin of Western Australia by chemical abrasion-isotope dilution thermal ionisation mass spectrometry reveals a conflict with the established spore-pollen zonation. Normally, the first appearance datum of Dulhuntyispora granulata across the continent lies stratigraphically above assemblages assigned to the Microbaculispora villosa Zone. However, the youngest tuffs within non-marine facies from the M. villosa Zone in Pittston SD-1, drilled in the southwest of the Canning Basin, yielded an age of 267.04 ± 0.14 Ma, which is 1.7 million years younger than tuffs associated with the D. granulata Zone in marginal-marine facies from core holes 350–400 km to the northeast. The apparent conflict in ages is possibly due to the non-marine depositional environment having wielded a strong local influence on the palynoflora along the edge of this basin. Although the present information indicates an age 2.5 million years younger than the 266.6 Ma age previously suggested for the top of the M. villosa Zone, revisions to the ages of Roadian–Wordian spore-pollen zones are not considered justifiable without further supporting evidence. Furthermore, considerable care is needed when comparing palynological assemblages from significantly differing facies. Two basaltic sills (43.5 m and 20 m thick) immediately below the tuffaceous beds in Pittston SD-1 are coincidental, as Ar–Ar dating indicates a Late Triassic age for the intrusions.

<b>Citation:</b> Mory, A. J., Crowley, J. L., Backhouse, J., Nicoll, R. S., Bryan, S. E., López Martínez, M., &amp; Mantle, D. J. (2017). Apparent conflicting Roadian–Wordian (middle Permian) CA-IDTIMS and palynology ages from the Canning Basin, Western Australia. <i>Australian Journal of Earth Sciences</i>, 64(7), 889–901.
https://doi.org/10.1080/08120099.2017.1365586

Tags: Biostratigraphy, Canning Basin, EARTH SCIENCES, Permian, U-Pb zircon, argon-argon dating - Ar-Ar, chemical abrasion-isotope dilution thermal ionisation mass spectrometry - CA-IDTIMS, laser ablation inductively coupled plasma mass spectrometry - LA-ICPMS, palynostratigraphy
Organization: Geoscience Australia Data
AGSO Research Newsletter 26

Titles in this newsletter:
Mineral-mapping in the north Pilbara Craton: A directed-principal-components-of-band-ratios method for correlating Landsat-5 Thematic Mapper spectral data with geology
Proterozoic thrusting in the Osmand Range area of the East Kimberley, Western Australia
Rock magnetism gets under way in AGSO
Piercing the regolith veil: Identifying parent rocks from weathered equivalents, Eastern Goldfields, Western Australia
Pieces of eight: Charting the event-related surfaces of the Mount Isa and McArthur basins
Balanced petrology of the crust in the Mount Isa region
Rocks of Mount Isa Group age in the Eastern Fold Belt
Recent tectonics and landscape evolution in the Broken Hill region
Why sequence stratigraphy and not lithostratigraphy for exploration?
Geodynamic models and palaeomagnetic constraints on the evolution of the North West Shelf

Tags: Earth Sciences, GA Publication, Published_External, Research Newsletter, marine
Organization: Geoscience Australia Data
Water Modelling-Modelled Data-Without Development-Macquarie

Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Macquarie 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 Modelling-Modelled Data-Long-term average annual extraction limit (LTAAEL)-Peel

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
Tweed LGA Vegetation 2012. VIS_ID 3912

Tweed Shire Council Local Government Area Vegetation Mapping from various sources including Comprehensive Regional Assessment (CRA) data and further refined up to 2012.

In 2011 an update of the mapping was undertaken by Mark Kingston and Peter Hall.  The bushland boundaries of Council’s existing vegetation mapping layer were updated and revised at approximately 1:5000 scale consistent with shire wide aerial photography captured during October 2009. Real and apparent changes to bushland between 2007 and 2009 are also reported. Boundaries between vegetation communities within areas of bushland were not updated.

NB.  The current version was finalised January 2012 but was named Tweed_veg_2009_update by the Council since it was updated using Aerial Photography from 2009. VIS_ID 3912.

Tags: vegetation map
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Wollongong seabed landforms derived from multibeam echosounder data 2022

Multibeam echosounder (MBES) bathymetry data were collected offshore of Wollongong, NSW in 2016-17. Bathymetry data coverage extends from Bellambi Point to Port Kembla, and ranges from 4 to 62 m depth. This dataset represents a classification of seabed landforms derived from this MBES, which delineates the prominent seabed features observed. This classification defines areas of reefs, peaks, plains, scarps, depressions and channels. Features were classified using the Seabed Landforms Classification Toolset developed for ArcGIS by the Coastal and Marine Unit, DPE (Linklater et al. 2023) which are publicly available on SEED (https://datasets.seed.nsw.gov.au/dataset/seabed-landforms-classification-toolset) and GitHub (https://github.com/LinklaterM/Seabed-Landforms-Classification-Toolset/). 

A preliminary classification of this Wollongong survey was presented in Linklater et al. (2019), and this classification represents the final interpreted product for this survey. This dataset contributes toward an understanding of the distribution of submerged reefs along the NSW coast, which provides fundamental baseline information for managers, users and custodians of the marine environment. 

The source MBES dataset for this classification is available on the Australian Ocean Data Network portal: https://portal.aodn.org.au/

Linklater, M., Morris, B.D. and Hanslow, D.J. (2023), Classification of seabed landforms on continental and island shelves. Frontiers in Marine Science, 10, https://www.frontiersin.org/articles/10.3389/fmars.2023.1258556/full.

Linklater, M., Ingleton, T. C., Kinsela, M. A., Morris, B. D., Allen, K. M., Sutherland, M. D., &amp; Hanslow, D. J. 2019. Techniques for classifying seabed morphology and composition on a subtropical-temperate continental shelf. Geosciences, 9(3), 141.

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Remnant Vegetation of the western Cumberland subregion, 2013 Update. VIS_ID 4207

A 2013 update to the western parts of the Remnant Vegetation of the Cumberland Plain GIS data layers (VIS_IDs 2221, 2222 and 3785) using 2011 and 2012 imagery. Update focused on removing large areas of clearing at 1:10,000-1:15,000 scale. Those areas within the Sydney Metro CMA boundary, which were covered by the Sydney Metro Veg V2 2013 vegetaion map (VIS_ID 3817), were not updated. Update was conducted for use in the Biodiversity Investment Opportunities (BIO) Map, part of the Linking Landscapes through Local Action project funded by the Green Corridors Program.

Please note:
<ul>
<li>

The previous update completed bythe Scientific Committee and Simpson 2008(VIS_ID 3785) was integrated into this update;
</li>
<li>

The update was conducted at approximately 1:10,000-1:15,000;
</li>
<li>

Txu (&lt;10% canopy cover of urban land) vegetation (VIS_ID 2223) is excluded from the update and this layer;
</li>
<li>

Areas of significant regrowth were added;
</li>
<li>

New regrowth polygons, and polygons originally classified as 'unclassified' in VIS_ID 2221 and 2222, were allocated PCTs based on existing vegetation mapping available in the localities being assessed.
</li>
</ul>

VIS_ID 4207

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

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
Hornsby Local Government Area Threatened Ecological Communities, 2008. VIS_ID 4470

Updated mapping of Threatened Ecological Communities (TECs). 
The native vegetation communities of Hornsby Shire were originally identified and mapped in 1990-1993. The present study updates the classification and mapping of 30 communities, with the updated mapping provided in digital form for inclusion in the council's GIS. 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 4470

Please note the related datasets:
1. Hornsby Local Government Area Vegetation Communities, 2008. VIS_ID 4471
2. Hornsby Local Government Area Remnant Trees, 2008. VIS_ID 4472

Organization: Hornsby Shire Council
Sutherland Shire Vegetation Communities Map, 2011. VIS_ID 4198

Vegetation types including Endangered Ecological Communities (EEC's) in the Sutherland Shire. Coverage does not extend across all of national park estate. The data displays the distribution of EEC's based on the characteristics of the final determinations presented by the Scientific Committee under the Threatened Species Conservation Act or the Environment Protection and Biodiversity Conservation Act. Other vegetation communities are based on vegetation types and descriptions published in Cunninghamia 3(4): 677-1004 1994 The Natural Vegetation of the Sydney 1:100000 map sheet. Vegetation distribution is originally based on interpretation of 2001 aerial photographs, topography and extensive ground truthing. Using 2011 aerial photography location of polygons has been revalidated January 2012.

Please note:
1. Sutherland Shire Council retains copyright of data. 
2. Sutherland Shire Council does not warrant the completeness or accuracy of this information. 
3. Sutherland Shire Council accepts no liability whatsoever whether by reason of negligence or otherwise arising from any use of the provided information or any part of it. 
4. Reference to dataset: Vegetation Communities of the Sutherland Shire (SSC, 2011). 

VIS_ID 4198

Tags: TEC, vegetation map
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Animal Vehicle Strike - BioNet

Data from the BioNet Data repository, which holds records from a number of 
custodians. The data are only indicative and cannot be considered a comprehensive 
inventory, and may contain errors and omissions.

Species classified as sensitive have been removed as well as fields that contain names or 
personally identifying information. Location accuracy varies by record.

Copyright the State of NSW through the Department of Planning, Industry and 
Environment. The records included in this release are CC-BY4.0.

The data query was constructed using the following criteria to represent animals 
considered significant to biodiversity or human safety:
<ul>
<li>BioNet Records in NSW only</li>
<li>Only records with the statuses of ‘Valid and accepted without modification’ or 5 ‘Accepted as valid from quarantine’</li>
<li>Observations of roadkill defined as ‘Road Injured', 'Road kill' or where 
occurrenceRemarks contains the phrase 'Encounter broad: Collision; Encounter 
narrow: Collision -Motor Vehicle' </li>
</ul>

Species records were included using the following criteria:
<ul>
<li>Marsupials filtered by family (Vombatidae or Macropodidae only).</li>
<li>Ungulates filtered by order (Artiodactyla).</li>
<li>Koala (Phascolarctos cinereus) explicitly listed since it's the only member of family 
Phascolarctidae.</li>
<li>Emu (Dromaius novaehollandiae) explicitly listed.</li>
<li>Dogs and Dingoes included by filtering for family (Canidae).</li>
<li>Additional threatened species with conservation concern (not 'Not Listed' at federal 
or NSW level) are included.</li>
</ul>

The BioNet database contains records with different levels of locational accuracy. This has 
necessitated additional filtering to support the use of the data for decision-making.
The filtering process involved removing:

a) Records that were accurate to the suburb only level

b) Records where the co-ordinates given were inconsistent with the location 
information in the record field

c) Records that were otherwise identical but had different dates

d) All records without a CC-BY 4.0 licence. Any threatened species under NSW or 
federal law (species defined as ‘sensitive’ are excluded for this public release as 
they cannot be distributed without written consent of DCCEW).

This filtering for b) and c) was achieved by removing records whose co-ordinates were 
within 1m of each other. The filtering process removed 73% (67% from b) and c), 6% from 
d) of all Bionet wildlife vehicle strike records identified by the data query leaving 18,367
state-wide.

Organization: Transport for NSW
NSW Administrative Boundaries

The NSW Administrative Boundaries Web Service is a dynamic map of administrative and property boundaries. Administrative Areas Boundaries depict a polygon feature class within the NSW Digital Cadastral Database maintained by Spatial Services (DCS). The administrative boundaries provided through this web service includes: Counties, Suburbs, Parishes, Local Government Areas, State Forests, National Parks, State Electoral Districts.



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



Tags: Boundaries, County, Electoral, LGA, Local Government Area, Planning and Cadastre, State Electoral District, Suburb
Organization: Spatial Services (DCS)
Water Modelling-Modelled Data-Without Development-Lachlan

Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Lachlan 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
NSW Base Map

The NSW Base Map Web Service depicts a map of New South Wales (NSW) using layers from the Digital Topographic Database, the Geocoded Urban and Rural Addressing System database and the Digital Cadastral Database. This base map includes: Roads, Points of Interest, Localities, Landform, Drainage, Cultural data, Parks and forests, Property boundaries and Street address numbers.



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



Tags: BaseMap
Organization: Spatial Services (DCS)
FireTools Cloud Results - NPWS Blue Mountains 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 Blue Mountains 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