AndreaBozzo/ceres-open-data-index huggingface dataset:
Rail safety-related fatalities and hospitalisations

This dataset contains historical information about rail safety-related fatalities and hospitalisations on Queensland's rail network (excluding suicides, assaults and natural causes).

This data represents legacy information from 2009 to 2016, when the Department of Transport and Main Roads (TMR) was the Rail Regulator in Queensland. As a result, the dataset reflects a specific point in time and has not been updated since 2016. 

Responsibility for managing   data was transferred to the Office of the National Rail Safety Regulator (ONRSR)in 2017. The historical data was provided to ONRSR in 2017, and TMR no longer retains the functionality to verify or manage this information.  If you require additional data beyond what is available here, please contact ONRSR directly via their Request for data page or email them at contact@onrsr.com.au.

Tags: incident, rail, transport
Organization: Transport and Main Roads
Environmental Authority Locations - Queensland

Locations associated with environmental authorities (EAs). Created to assist users in identifying the locations described in EA Permits, and to identify which EAs apply to a particular location. Dataset includes permits with status of 'Granted', 'Granted - Not Effective' or 'Suspended' only. The permit data were derived from the environmental authorities register available at https://apps.des.qld.gov.au/public-register/In this dataset, the 'location_type' field indicates how each feature has been derived from Queensland Government spatial datasets, including the Land Parcel and Property Framework, Land Parcel and Property Framework Time-Series, and Mining Permits (current and historic).

Organization: Environment, Tourism, Science and Innovation
State Library of Queensland - Contract disclosure

State Library of Queensland contract disclosure reporting providing transparency for all awarded contracts over $10,000. It includes details of awarded contracts in accordance with the Queensland Government’s commitment to open data, accountability, and public sector integrity. 

Further information regarding the role, function, responsibilities and achievements of State Library is available in the Library Board of Queensland annual reports: https://www.slq.qld.gov.au/about/corporate-information/corporate-publications/annual-reports 

Explore State Library’s events, programs and services at https://slq.qld.gov.au 

Tags: State Library of Queensland, contract, contract disclosure, libraries, library
Organization: State Library of Queensland
TIRTL Traffic Counts and Classification

The Infra-Red Traffic Logger (TIRTL) are devices produced by CEOS Pty Ltd which are located across the Victorian road network, and count, classify, and measure the speed of passing vehicles using a non-invasive light based technology.

The TIRTL Traffic Counts and Classification dataset aggregates speed and vehicle classification into 15 minute time bins. Each rows represents the detected vehicle volume for the given 15 minute period by Austroads vehicle class, speed bin, site, and heading.

The Site Key can be joined to the TIRTL Site table for site reference information.

DISCLAIMER: The data is considered to be of high accuracy, although it is important to note that mis-classifications can occur, especially during periods of high throughput. Additionally, the devices may experience outages or be decommissioned which results in a unique temporal range for each location. 

Tags: speed, traffic, vehicle class, volume
Organization: Department of Transport and Planning
Vicmap Lite - State Polygon 1:2,000,000 to 1:5,000,000

This layer is part of Vicmap Lite and contains polygons representing the mainland, islands and the sea. This Vicmap Lite dataset is suited for use between scales of 1: 2 million and 1 : 5 million. The level of attribute information, the number of features and the number of vertices has been simplified to suit the 1: 2 million - 1 : 5 million scale range. The concept of a Scale Use Code has been introduced to help control the level of detail displayed.

THIS DATASET WAS LAST UPDATED IN MAY 2014

Tags: boundaries
Organization: Department of Transport and Planning
Victorian Integrated Survey of Travel and Activity (VISTA)

The Victorian Integrated Survey of Travel and Activity is a major data collection exercise conducted by DTP to understand all aspects of day-to-day travel by Victorians. VISTA is a rich dataset that investigates travel and activities people undertake as they go about their lives and informs policy, project and planning decisions made across the Victorian transport portfolio. 

Since 2012, more than 32,000 households have contributed to the ongoing survey. Data collection is spread evenly across each year, allowing average daily travel behaviours to be described. See the <a href="https://www.vic.gov.au/victorian-integrated-survey-travel-and-activity">VISTA website</a> for more details about this survey.

Detailed findings are available via an <a href="https://public.tableau.com/app/profile/vista/vizzes">interactive data visualisation tool</a> that allows users to explore the data further.

Tags: journeys, survey, travel, trips, vista
Organization: Department of Transport and Planning
State Budget 2024-25 - Aggregate Financial Statements

Historical data, some going back 20 to 40 years for major fiscal aggregates. Wherever possible, adjustments have been made to make the historical series consistent with the forward estimates.

All historical accounting based tables have been presented in the format adopted under Australian equivalent to International Financial Reporting Standards (A-IFRS), and Government Finance Statistics (GFS) statistical aggregates have been converted to an accruals basis.

The historical operating statement and cash flow statement have also been revised back to 2004-05 for consistency with AASB 1049 Whole of Government and General Government Sector Financial Reporting. However, some breaks in series remain. Additionally, several new accounting standards issued by the Australian Accounting Standards Board (AASB) have been applied for the first time from 2019-20 onwards. These accounting standards include AASB 1059 Service Concession Arrangements: Grantor (Service Concession Arrangements), AASB 16 Leases (Leases), AASB 15 Revenue from Contracts with Customers and AASB 1058 Income of Not-for-Profit Entities (Revenue).

All data sets incorporate financial information published in the 2024-25 Budget, 2023-24 Budget Update and 2023-24 Financial Report.

Tags: Cash Flow Aggregates, International Financial Reporting Standards, cash flow statement, financial statements, major fiscal aggregatges, state budget 2024-25
Organization: Victorian State Budget
Road Bridges

A standardised set of descriptive, administrative, and classification data that provides a comprehensive overview of a bridge asset. It includes identifiers, location, structural type, and other key attributes.

<strong>Data Quality</strong>

Whilst every effort has been made to ensure this information is accurate, there may be instances where words are misspelt, or attributes are incorrect. System improvements are planned to minimise this issue further.

<strong>Disclaimer</strong>

No claim is made as to the accuracy or currency of the content on this site at any time. This data is provided on the basis that users undertake responsibility for assessing the relevance and accuracy of its content. The Victorian Government and Department of Transport and Planning accept no liability to any person or group for the data or advice (or the use of such data or advice) which is provided or incorporated into it by reference.

Tags: bridge, clearance, road bridge, structure
Organization: Department of Transport and Planning
Australian Road Assessment Program (AusRAP)

The AusRAP data provides star ratings of the network in order to give a clear indication of a road's safety performance and are measured on a scale from 1 to 5 stars. A 5-star rating represents the highest level of safety, while a 1-star rating indicates a higher risk. Each score is calculated based on 78 individual attributes that were recorded from road survey.

Tags: ausrap, irap, road assessment, safety, star rating
Organization: Department of Transport and Planning
State Budget 2026-27 - Other financial aggregates

These datasets provide financial series for a number of general government sector financial aggregates and are updated with each relevant publication, for example, State Budget.

Wherever possible, adjustments have been made to make the historical series consistent with the current accounting framework used by the State of Victoria. Several new accounting standards issued by the Australian Accounting Standards Board (AASB) have been applied for the first time from 2019-20 onwards. These accounting standards include AASB 1059 Service Concession Arrangements: Grantor (Service Concession Arrangements), AASB 16 Leases (Leases), AASB 15 Revenue from Contracts with Customers and AASB 1058 Income of Not-for-Profit Entities (Revenue).

All data sets incorporate financial information published in the 2026-27 Budget, 2025-26 Budget Update and 2024-25 Financial Report.

Tags: financial aggregates, state budget 2026-27
Organization: Victorian State Budget
Annual metropolitan train station patronage (station entries)

Total and daily average patronage (station entries) for Melbourne metropolitan train stations, including average patronage by time band, to allow users to analyse Melbourne metropolitan train patronage by station, day type, time of day and total annual.

<strong>Data Quality</strong>

Patronage estimates are rounded to nearest 50 and values less than 50 are rounded up to 50.

Patronage estimates are derived from myki ticketing data and factored up to account for the transaction rate. The transaction rate is determined by survey and by barrier count data at gated stations. The survey is designed to provide a precise measure of patronage at the modal level and precision is decreased for patronage estimates at the station level.

The sum of station entries for all metropolitan stations differs from total metropolitan train patronage because station entries do not include service transfers within stations.

Station entries for Southern Cross station do not include counts of passengers entering the gates to platforms 1 to 8, where regional train services depart. This is included in regional train station entries data. Station entries for other metropolitan stations do include counts of passengers who enter the station to board regional train services.

Tags: boardings, patronage, public transport, ridership, station, station entries, train, usage
Organization: Department of Transport and Planning
Annual regional train station patronage (station entries)

Total annual patronage (station entries) for Victorian regional train stations, to allow users to analyse Victorian regional train patronage by station, day type, time of day and total annual.

<strong>Data Quality</strong>

Patronage estimates are rounded to nearest 50 and values less than 50 are rounded up to 50.

Patronage estimates for stations on the myki network are derived from myki ticketing data and factored up to account for the transaction rate. The transaction rate is determined by conductor counts and by barrier count data at gated stations.

Patronage estimates for stations outside the myki network are derived from manual conductor counts. Accuracy of counts may be impacted by crowding levels and other issues.

The sum of station entries for all regional stations differs from total regional train patronage because station entries to board regional services at metropolitan train stations, apart from Southern Cross, are not included. 

Station entries for Southern Cross station only includes counts of passengers entering the gates to platforms 1 to 8, where regional train services depart.

Tags: boardings, patronage, public transport, ridership, station, station entries, train, usage
Organization: Department of Transport and Planning
Survey and mapping of Darling floodplain vegetation communities in 2014. VIS_ID 4186

In 2014, the Centre for Environmental Management, Federation University Australia (previously the University of Ballarat) was commissioned by the New South Wales Office of Environment and Heritage to undertake a vegetation survey and mapping of the vegetation of the Barwon-Darling Floodplain, between downstream of Brewarrina and upstream of Tilpa. Part of NSW Healthy Floodplains Project. VIS_ID 4186

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)-Lachlan

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-Modelled Data-Without Development-Border Rivers

Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Border Rivers 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-Without Development-Namoi

Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Namoi 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
Land management within capability monitoring MER 2008: final result map

This ESRI shapefile with attribute table comprises final results for the Land Management within Capability (LMwC) theme from the 2008-2009 NSW Monitoring Evaluation and Reporting program. The LMwC evaluation system provides an indication the extent to which land is being managed within its capability by comparing the land &amp; soil capability (LSC) ratings for each site with a measure of the potential impact of land management actions.  It considers eight different land management hazards including sheet erosion, gully erosion, wind erosion, acidification, organic carbon decline, structural decline, salinity/waterlogging and acid sulfate soils. The shapefile gives results for 95 Soil Monitoring Units (SMUs) including (i) the overall LMwC index, (ii) the worst rated hazard and its index, and (iii) the worst rated hazard which is rated poor or worse and therefore of concern. Full results are presented and discussed in the Technical Report: OEH (2014), Soil condition and land management in NSW: final results from the 2008-09 monitoring evaluation and reporting program, http://www.environment.nsw.gov.au/research-and-publications/publications-search/soil-condition-and-land-management-in-new-south-wales 

Tags: land capability, land degradation, sustainable land management
Organization: NSW Department of Climate Change, Energy, the Environment and Water
Water Modelling-Modelled Data-Without Development-Belubula

Time series of modelled daily flow rates in megalitres per day across the NSW river systems – Belubula 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 BioNet Flora Survey Data Collection

The NSW BioNet Flora Survey Data Collection is maintained via the Flora Survey Module of the NSW BioNet-Atlas application. This collection is a central, authoritative database for systematic vegetation survey data in NSW.  Among other applications, this plot data is used to construct and maintain the quantitative Plant Community Type classification &amp; Vegetation Integrity Benchmarks held in the BioNet Vegetation Classification Data Collection. These plots are also used to construct and update State Vegetation Type Maps held in the BioNet Vegetation Map Data Collection.

ACCESS: Full datasets (site and species) may be accessed via the BioNet-Atlas application http://www.BioNet.nsw.gov.au/.  Survey site level data is available in a machine readable form via the BioNet OData Web Service https://data.bionet.nsw.gov.au/. That data service is delivered to SEED where it is rendered as a Web Map Service. Further detail is available from http://www.environment.nsw.gov.au/research/VISplot.htm.  

This data collection includes over 100,000 survey plots, that are generally compatible with standard vegetation survey methodologies outlined in the NSW Native Vegetation Interim Type Standard http://www.environment.nsw.gov.au/resources/nativeveg/10060nvinttypestand.pdf. The Type Standard and application accommodate a range of data types from various surveys, including: 1. full floristic survey data associated with vegetation classification and mapping; 2. rapid survey sites associated with field validation and vegetation type mapping; and 3. land-use data associated with the Monitoring Evaluation and Reporting Program (MER) Vegetation Condition site assessment.

Species records in the Flora Survey Data Collection are also queried through the species sightings searches in BioNet-Atlas.

Data in BioNet is made available in accordance with OEH's Sensitive Species Data Policy http://www.environment.nsw.gov.au/policiesandguidelines/SensitiveSpeciesPolicy.htm. For species categorised as "sensitive", location information may be withheld depending on the species' status under the policy, and on the access rights of the user. Records in BioNet are not guaranteed to be free from error or omission.

Organization: NSW Department of Climate Change, Energy, the Environment and Water
Estimated Inherent Soil Fertility of NSW

This map provides an estimation of the inherent fertility of soils in NSW. It uses the best available soils and natural resource mapping developed for the Land and Soil Capability (LSC) dataset.

The mapping describes soil fertility in NSW according to a five class system outlined below:
<ul>
<li>Low (1)</li>
<li>Moderately low (2)</li>
<li>Moderate (3)</li>
<li>Moderately high (4)</li>
<li>High (5)</li>
</ul>

It was derived from a lookup table system linking a fertility class to a particular soil type (Great Soil Group), which was then attributed for each soil map unit (see Table 1 in data package).

<strong>Online Maps:</strong> This dataset can be viewed using <a href="http://espade.environment.nsw.gov.au/">eSPADE</a> (NSW’s soil spatial viewer), which contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the <a href="https://geo.seed.nsw.gov.au/Public_Viewer/index.html?viewer=Public_Viewer&amp;locale=en-AU">SEED Map</a>; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area.

<strong>Reference:</strong> Department of Planning, Industry and Environment, 2021, <em>Estimated Inherent Soil Fertility of NSW</em>, Version 4.5, NSW Department of Planning, Industry and Environment, Parramatta.

Tags: Soil Fertility, Soil Landscapes
Organization: NSW Department of Climate Change, Energy, the Environment and Water
BDM Data - Births Registrations

BDM Births Registrations Data

<em>Wider data sets are available on request. If you require more granular data or different criteria <a href="mailto:bdm-data@customerservice.nsw.gov.au">Contact us</a></em>

Tags: BDM, bdm, birth certificates, births, gender, hospital, parent1, postcode, registry, residential postcode
Organization: NSW Registry of Births Deaths and Marriages