AndreaBozzo/ceres-open-data-index huggingface dataset:
Voluntary Tax Transparency Code

The __Voluntary Tax Transparency Code (VTTC)__ is a set of principles and minimum standards to guide medium and large businesses on public disclosure of tax information.

The Australian Taxation Office (ATO) is the responsible agency for publishing  the list of TTC reports as notified, by signatories which have adopted the TTC. The ATO does not review or provide any assurance about the accuracy of the information contained in these reports.

The list of reports is updated monthly. The list contains details about the published VTTC reports as notified by the signatories and includes hyperlinks to the published reports which are hosted by the signatory on their website. It is the responsibility of the signatories to keep the report links updated.

More information  about the VTTC can be found on the ATO’s website here:
https://www.ato.gov.au/Business/Large-business/Corporate-Tax-Transparency/Voluntary-Tax-Transparency-Code/

Organization: Australian Taxation Office
EARTH OBSERVATION

This is a landing page. To access the datasets, expand the RELATED DATASETS section below, and follow the link to the dataset you require. 



The Remote Sensing Organisational Unit as part of the Water Group, within the NSW Department of Climate Change, Energy, the Environment and Water (NSW DCCEEW) is dedicated to harnessing the power of satellite earth observations, aerial imagery, in-situ data, and advanced modelling techniques to produce cutting-edge remote sensing information products. Our team employs a multi-faceted approach, integrating remote sensing data captured by satellites operating at various temporal and spatial scales with on-the-ground observations and key spatial datasets, including land-use mapping, weather data, and ancillary verification datasets. This synthesis of diverse information sources enables us to derive critical insights that significantly contribute to water resource planning, policy formulation, and advancements in scientific research.

Drawing upon satellite imagery from reputable sources such as NASA, the European Space Agency, and commercial providers like Planet and SPOT, our team places a special emphasis on leveraging Landsat and Sentinel satellite imagery. Renowned for their archived, calibrated, and consistent datasets, these sources provide a significant advantage in our pursuit of delivering accurate and reliable information. To ensure the robustness of our information products, we implement thorough validation processes, incorporating semi-automation techniques that facilitate rapid turnaround times.

Our operational efficiency is further enhanced through strategic interventions in our workflows, including the automation of processes through efficient computing scripts and the utilization of Google Earth Engine for cloud computing. This integrated approach allows us to maintain high standards of data quality while meeting the increasing demand for timely and accurate information.

Our commitment to providing high-quality, professional, and technically accurate Remote Sensing - Geographic Information System (RS-GIS) data packages, maps, and information is underscored by our recognition of the growing role of technology in information transfer and the promotion of information sharing. Moreover, our dedication to ensuring the currency of RS-GIS methods, interpretation techniques, and 3D modelling enables us to continually deliver innovative products that align with evolving client expectations. Through these efforts, our team strives to contribute meaningfully to the advancement of remote sensing applications for improved environmental understanding and informed decision-making.



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, Remote Sensing
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Earth Observation-On Farm Storage (OFS) Water Surface Area Monthly

This product delivers a monthly timeseries of water surface area for On-Farm Storages (OFS) across the five key valleys of the northern Murray-Darling Basin (Border River, Gwydir, Namoi, Macquarie-Castlereagh, and Barwon-Darling). The dataset encompasses both licensed Flood Plain Harvesting (FPH) storages and other storages of interest within these regions.

OFS play a vital role in agricultural water supply by enabling farmers to store water for irrigation. Regular monitoring of these storages is essential for effective water resource management, supporting efforts to address water scarcity, ensure regulatory compliance, respond to climate variability, and promote sustainable agricultural practices.

The OFS Water Surface Area Monthly dataset enables the identification of storage fill and drawdown events over large areas, capturing responses to both natural and managed water movements.
Timeseries observations are generated from publicly available Landsat (since 1987) and Sentinel (since 2015) satellite imagery, using multispectral data and a streamlined geospatial model [2]. The full methodology is available as open-source code published by the Department [1].

References

[1] https://datasets.seed.nsw.gov.au/dataset/remote-sensing-earth-observation-water-toolkit.

[2] https://www.tandfonline.com/doi/full/10.1080/01431160600589179 <em>(Subscription required).</em>



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, Remote Sensing, water surface area, water volume
Organization: NSW Department of Climate Change, Energy, the Environment and Water
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:
&#8226; buffering all regulated rivers and creeks by 150 metres,
&#8226; buffering unregulated rivers and creeks with a 5th stream order or higher, by 150 metres,
&#8226; buffering 3rd and 4th stream order unregulated rivers and creeks, by 150 metres
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. 

Tags: Buffer 150 metres, NSW DCCEEW, Regulated river areas, Reliable surface water, SEED-Layer-Catalogue, Unregulated river areas
Organization: Spatial Services (DCS)
RAW Water Quality Data

The RAW Water Quality Data is collected under The State Water Quality Assessment and Monitoring Project (SWAMP).  The State Water Quality Assessment and Monitoring Project (SWAMP) is a state wide project responsible for collecting, analysing and reporting the ambient water quality condition of rivers in NSW. 

SWAMP collects water quality data monthly to: 
<ul>
<li>

assess ambient river water quality in terms of electrical conductivity, temperature, turbidity, total suspended solids, pH, dissolved oxygen, phosphorus and nitrogen at selected sites across NSW 
</li>
<li>

provide high quality, long term, statistically robust data to enable condition and trend reporting 
</li>
<li>

provide data to enable measures of compliance with state and national guidelines and standards, and 
</li>
<li>

provide a framework of river water quality monitoring across NSW upon which other programs can build. 
</li>
</ul>

This data is then used for:
-   Basin Technical Reports
-   Matter 12 Reports
-   River Condition Index
-   Water Quality Index



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
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Earth Observation-On Farm Storage (OFS) Water Volume Monthly

This product delivers a monthly timeseries of estimated water volume for On-Farm Storages (OFS) across the five valleys of the northern Murray-Darling Basin (Border River, Gwydir, Namoi, Macquarie-Castlereagh, and Barwon-Darling). OFS are critical for agricultural water supply, enabling farmers to store water for irrigation and supporting effective water resource management in the face of water scarcity, regulatory requirements, climate variability, and the need for sustainable agricultural practices.

Estimated OFS water volume is derived through a two-step remote sensing approach. First, water surface area is calculated from multispectral satellite imagery (Landsat and Sentinel-2) using a geospatial model [1][2]. Second, LiDAR-derived storage capacity curves are applied to relate the observed surface area to water height above the Australian Height Datum (AHD), enabling calculation of the estimated water volume for each storage [3].

The dataset is updated monthly using the latest available cloud-free satellite imagery, and historical volume are computed from archived images. The timeseries spans from 1987 to the present, providing a consistent monthly record of estimated OFS water volume across the region.

References

[1] https://datasets.seed.nsw.gov.au/dataset/remote-sensing-earth-observation-water-toolkit.

[2] https://www.tandfonline.com/doi/full/10.1080/01431160600589179 

[3] https://hls.gsfc.nasa.gov 



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, Remote Sensing, water surface area, water volume
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Tooleybuc Flood Study - Report

Complete report

Tags: Barbers Creek, Barmah, Campaspe, Echuca, Edward River, Eildon Dam, Goonimur, Goulburn River, Hume Dam, Kiewa, Loddon, Merran Creek, Mitta Mitta, Murray River, Ovens, Piangil, Poomah, Swan Hill, Thule, Tooleybuc, Waddy Creek, Wollare
Organization: Murray River Council
Earth Observation-Water Toolkit

The link points to a GitHub repository.
This code repository presents an efficient Google Earth Engine (GEE)-based algorithm to mapping water surface area time-series in waterbodies from Landsat and Sentinel-2. Detailed documentation is contained to run the tool on a set of input waterbodies. The GitHub repository contains a set of Python scripts to automatically extract time-series of water surface area for a set of input polygons. 

<em>NB:  Google Earth Engine project is needed to run this toolkit.</em>

Image: Example Interactive Map


Tags: DCCEEW - Water, DCCEEW - Water Analytics, Landsat, Remote Sensing, Sentinel2, water surface area
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Commonwealth Register of Institutions and Courses for Overseas Students (CRICOS)

CRICOS is the official list of all Australian education providers that offer courses to people studying in Australia on student visas and the courses offered. This export is a snapshot of the CRICOS. For the latest version, you must visit the live website: https://cricos.education.gov.au/default.aspx


Tags: CRICOS, International Education, PRISMS
Organization: Department of Education
Townsville City Council Cemeteries

Townsville City Council operates the cemeteries within Townsville, including the cemeteries located at Belgian Gardens and West End. The Townsville War Cemetery is situated within the Belgian Gardens Cemetery. Manton Cemetery is a small cemetery located west of Townsville. There is also one historic cemetery located at Magnetic Island.

This dataset includes the number of interments at the Belgian Gardens, Magnetic Island, Manton and Townsville War Cemeteries. Data attributes include the cemetery, section, plot, monument and interment type.

Although all due care has been taken to ensure that this data is correct, no warranty is expressed or implied by Townsville City Council in its use.


Tags: burials, cemeteries, cemetery, interments
Organization: Townsville City Council
Authority File for IP Australia Patents Collection

__The IPA Authority File__ (conforming to WIPO standard ST.37 V3) published herein provides a sequential gap-free list of all patent document publication numbers (AU application number / AU 10-digit number) issued by IP Australia since 1904 to a total of greater than 1.9 million patent records and will be updated monthly.

__The primary purpose of the authority file__ is to allow other IPOs and related interested parties to understand what publications have been made available by IP Australia, and which of these are available with searchable text.

This published authority file is in __TXT(CSV) format__. 

__Data elements__ incorporated in this TXT based Authority File are as follows:

(a) __publication authority__ (two-letter alphabetic code of the Intellectual Property Office (IPO) publishing the document);

(b) __publication number__;

(c) __kind of document code__;

(d) __publication date__;

(e) __publication exception code__ (indicates any missing publications using code ‘M’);

(f) __searchable abstract code__ (indicates whether searchable text from the abstract is available);

(g) __searchable description code__ (indicates whether searchable text from the description is available);  and

(h) __searchable claims code__ (indicates whether searchable text from the claims is available)

__Download Here …..__



Tags: Authority, Patent
Organization: IP Australia
West Musgrave 3D palaeovalley point dataset ~ Base of Cenozoic depth estimates made using AusAEM (airborne electromagnetic) conductivity models

As part of the Exploring for the Future program, Geoscience Australia undertook an investigation into palaeovalley groundwater resources within the West Musgrave region of Australia (Symington et al., 2024). The investigation, which spans the WA, SA and NT borders, inferred the architecture of the region’s palaeovalleys via interpretation of airborne electromagnetic conductivity models, borehole data and geologic outcrop. This record presents the base of Cenozoic depth estimates made along the AusAEM airborne electromagnetic (AEM) conductivity models used in this investigation.

To maximize the value of depth estimates from projects across Geoscience Australia, the Estimates of Geological and Geophysical Surfaces (EGGS) database was developed to store standardised interpretations of stratigraphic horizons (Mathews et al., 2020).

Standardisation in part aims to maintain the ability for users to take point data/depth estimates from the EGGS database and recombine them back into their original line data/interpreted horizons. To achieve this, all points along any particular segment need to maintain identical metadata. This requirement means that annotations made to a single point will propagate across the whole segment of which it is part.

As such, the base of Cenozoic depth estimates from this investigation, originally created with Petrel, were annotated to enhance the value of the data and then standardised to comply with the requirements of the database. These modifications facilitate the integration of these depth estimates into future models delivered under the Resourcing Australia’s Prosperity initiative (RAPi).

Tags: 3D, AEM - Airborne Electromagnetic, Base of Cenozoic, EGGS - Estimates of Geological and Geophysical Surfaces, National Onshore Geology, Published_External, Resourcing Australia’s Prosperity, Stratigraphy (incl. biostratigraphy, West Musgrave hydrogeology, palaeovalley, point data, sequence stratigraphy and basin analysis)
Organization: Geoscience Australia Data
PrivateHealth.gov.au

PrivateHealth.gov.au is an Australian Government initiative, managed by the Private Health Insurance Ombudsman.

To allow for easier comparison of health insurance products, all Australian health insurers are required by law to create a Private Health Information Statement for each of their products. The website provides the PHIS for every health insurance policy available from every registered health insurer.

PrivateHealth.gov.au also provides a wealth of information on private health insurance in Australia, a list of registered health insurers and the ability to find policies and compare what is covered.

Contents of the Zip file
=================

The Zip file contains a suite of xml files that contain data for each for each of the registered health insurers and for every product published on PrivateHealth.gov.au. It also includes an xml schema file and csv files containing a summary of the changes made to the xml files since the previous upload to the data.gov.au site.

Another csv file has been added to the zip as of 01-July-2020 - this includes details of the Private Hospitals with which the various health insurers have agreements. Note that if you just want to see which hospitals have an agreement with your insurer, it may be easier to go to https://www.privatehealth.gov.au/dynamic/agreementhospitals and enter the name of your insurer, ignoring the address field, to search across Australia.

Finally the zip file contains a Readme.txt file. This includes further details about the content and naming conventions used for each of the files in the zip.

Tags: Health, Health Policy, policy information, private health insurance
Organization: Private Health Insurance Ombudsman
Lunar Nutation Effect Defines the Sign of the Earth Rotation Rate for Now, But This May Change Soon

The Earth slowly decelerates in its rotation due to the energy dissipation caused by the interaction with the Moon. This leads to the continuous increase in the length of the mean solar day (aka, length-of-day, or, LOD) relative to 86,400 solar seconds at an average secular rate of +1.8 ms per century. But, on a shorter timescale the process is uneven. A positive leap second is used on a regular basis to support a consistency between the astronomical and atomic timescales. However, nowadays the LOD is steadily sparking a discussion about the timescale maintenance, in particular, from fears that a negative leap second will have to be introduced for the first time in the foreseeable future. The aim is to show that the LOD is currently dominated by the 18.6 yr lunar nutation signal whereas the long-term trends are essential for extrapolation after 2030. The LOD data since 1962 are used to estimate the long-term variations along the 18.6 yr and other harmonic signals in its spectrum. It is shown that the influence of the lunar nutation impact on the LOD variations was underestimated. At the moment, the LOD changes are completely determined by a signal with a period of 18.6 yr. More detailed extrapolation reveals that LOD is likely to vary in a range between −1 ms to +1 ms until 2050 or maybe longer.

<b>Citation:</b> Titov, O.; The lunar nutation effect defines the sign of the Earth rotation rate for now, but this may change soon. <i>Research in Astronomy and Astrophysics</i> Volume 26, Number 8. 2026; CAS and IOP Publishing. DOI: https://doi.org/10.1088/1674-4527/ae5dab

Tags: Earth rotation, Geodesy, Geodynamics, Published_External, VLBI, leap second, tidal harmonics
Organization: Geoscience Australia Data
A web-based utility to estimate depth to magnetisation

Geoscience Australia and CSIRO have developed a pilot next-generation utility that allows users to perform depth estimations live and on-line, inverting Geophysical Archive Data Delivery System data with horizontal-top tabular models. The inversions use Total Magnetic Intensity flightline data to avoid the smoothing associated with gridding. Analysis is performed on data segments centred on prominent, simple, reasonably isolated anomalies (‘sweet-spots’) selected by the user on browsing across an underlying TMI image. The starting model is inverted in an iterative process that allows the user to lock or free individual parameters. Once the user considers a model acceptable they can download it.

Presented at the 2025 Australasian Exploration Geoscience Conference (AEGC)

Tags: Applied geophysics, EFTF – Exploring for the Future, Magnetics, Magnetism and palaeomagnetism, Published_External, Sweet-spot magnetic modelling, Targeted Magnetic Inversion Modelling, Total Magnetic Intensity (TMI), forward models, geophysical archive data delivery system, inversion models, online tools
Organization: Geoscience Australia Data
SUPERSEDED: eReefs GBR4 Biogeochemical model data - Version 2.0 Catchment Real Time

SUPERSEDED: This dataset has been superseeded by GBR4_H2p0_B3p0_Chyd_Dcrt (2010-12 to 2018-10) and then by GBR4_H2p0_B3p1_Cq3b_Dhnd (2010-12 to 2019-04) and it was removed from the NCI fx3 project and THREDDS server in April 2024.  An archive copy has been retained by the custodians, and access can be arranged on request.

4km-resolution Biogeochemical model version 2.0, forced by version 2 of the Hydrodynamic model and <code>best available forcing</code>¹, deployed as <code>catchment real time</code> (6 month lag for SOURCE Catchments model).

¹ best available forcing:
○ 2011-06-30 to 2014-06-30: P2R SOURCE Catchments;
○ 2014-07-01 to 2016-10-30: Empirical SOURCE Catchments;
○ 2016-10-31 onwards: Furnas relationships for wet and dry tropics rivers.

Organization: CSIRO Marlin Data Catalogue
eReefs GBR1 river tracers v2.0

Passive river tracer results derived from version 2.0 of the 1km-resolution shelf-scale hydrodynamic model of the Great Barrier Reef (GBR1).

This model configuration and associated results dataset may be referred to as "GBR1_H2p0_Rivers" according to the eReefs simulation naming protocol.

The model ran in near-real-time mode, updating daily, until January 2024 when the 2023/24 monsoon season caused damage to sensors in the catchments, and we lost access to the critical river-flow forcing dataset.

Organization: CSIRO Marlin Data Catalogue
SUPERSEDED: eReefs GBR4 Biogeochemical model data - Version 3.0 Catchment Real Time

This dataset has been superseded by GBR4_H2p0_B3p1_Cq3b_Dhnd (2010-12 to 2019-04), and it was removed from the NCI fx3 project and THREDDS server in April 2024.  An archive copy has been retained by the custodians, and access can be arranged on request.

4km-resolution Biogeochemical model version 3.0, forced by version 2 of the Hydrodynamic model and <code>best available forcing</code>¹, deployed as <code>catchment real time</code> (6 month lag for SOURCE Catchments model).

¹ best available forcing:
○ 2011-06-30 to 2014-06-30: P2R SOURCE Catchments;
○ 2014-07-01 to 2016-10-30: Empirical SOURCE Catchments;
○ 2016-10-31 onwards: Furnas relationships for wet and dry tropics rivers.

Organization: CSIRO Marlin Data Catalogue