Overview:

Information on location and characteristics of crashes in Queensland for all reported Road Traffic Crashes occurred from 1 January 2001 to 30 June 2024.

Fatal, Hospitalisation, Medical treatment and Minor injury:

This dataset contains information on crashes reported to the police which resulted from the movement of at least 1 road vehicle on a road or road related area. Crashes listed in this resource have occurred on a public road and meet one of the following criteria:

• a person is killed or injured, or
• at least 1 vehicle was towed away, or
• the value of the property damage meets the appropriate criteria listed below.

Property damage:

1. $2500 or more damage to property other than vehicles (after 1 December 1999)
2. $2500 or more damage to vehicle and/or other property (after 1 December 1991 and before 1 December 1999)
3. value of property damage is greater than $1000 (before December 1991).

Please note:

• This data has been extracted from the Queensland Road Crash Database.
• Information held in the Road Crash Database on events occurring within the last 12 months is considered preliminary as investigations into crashes can take up to 1 year to finalise.
• Property damage only crashes ceased to be reported/recorded by Queensland Police Service after 31 December 2010.
• These crash location coordinates reference the current Australian geodetic datum is GDA2020 (previously it was GDA94).

This polygon dataset shows the position and names of Recreational Areas within the State of Queensland. Recreational areas include: - civic Squares, gardens, golf gourses, miscellaneous areas (e.g. basketball courts, bowling clubs, caravan parks, netball courts, tennis courts, velodromes , ovals, parks, race courses, racetracks, rifle Ranges, showgrounds, zoos). This purpose of this dataset is to provide the position and names of Recreational Areas for use in Land Administration,Topographic Mapping and in the production of Navigational and Web Based Mapping applications. Additional Information: This data has been compiled from numerous sources to produce a state wide coverage with the boundaries aligned in most cases with the Queensland Digital Cadastral Database (DCDB)or captured from the best available imagery with an attribute within the data describing the source and reliability. Source data include: Queensland digital cadastral database, Queensland regional mapping, Queensland orthophotography, satellite imagery, Geoscience Australia, community and government websites. The horizontal positional accuracy of the data that has been used to compile this dataset is as follows: Orthophotography +/- 1m, Satellite Imagery +/- 2.5m. The horizontal positional accuracy of DCDB is dependent on the accuracy of the DCDB at the time of extraction.Initially for whole of state data capture, the location of the features was sourced from existing government topographic maps, regional maps and photogrammetric data. The features were validated against current orthophotography and satellite imagery and modified where necessary. The location and names of parks were extracted from the Queensland Digital Cadastral Database (DCDB). The data had been loaded into the DCDB from a "Park and Canal Name Attribute Project" commenced in September 1999 for data acquisition for PSMA. For golf courses, the address of the feature was sourced from the Queensland Golf Union Website. The address was then used to identify the Lot/Plan description in the DCDB that formed the extent of the feature. The features were validated against current orthophotography and satellite imagery and modified where the spatial accuracy of the DCDB was outside 25k topographic data specifications. For rifle ranges, the address of the feature was sourced from the Queensland Rifle Association Website. The address was then used to identify the Lot/Plan description in the DCDB that formed the extent of the feature. The features were validated against current orthophotography and satellite imagery and modified where the spatial accuracy of the DCDB was outside 25k topographic data specifications. For racecourses, the address of the feature was sourced from the Queensland Racing Website. The address was then used to identify the Lot/Plan description in the DCDB that formed the extent of the feature. The features were validated against current orthophotography and satellite imagery and modified where the spatial accuracy of the DCDB was outside 25k topographic data specifications. Features for ongoing data capture are sourced from government and community websites and National Park maps and their location is digitized from current orthophotography and satellite imagery. Additional data is supplied by Geoscience Australia as part of their 25K large scale data capture and commitment to the National Topographic Information Coordination Initiative (NTICI). In most cases these features have been identified through fieldwork by Geoscience Australia staff.

This data is a collection of 1 metre contours over parts of the State of Queensland. The original source data that this data was compiled was captured using Airborne Laser Scanning (LiDAR). It consists of multiple project areas over multiple years. Please see the attribute data for information regarding project and year. Due to the size, only current projects are available in this dataset. You cannot download the entire State in one single order, it is too large. This dataset allows you to extract your area of interest using the 'clip, zip and ship' functionality only. You can select areas by LGA in most cases and by city or suburb (locality) or freehand over small areas. You cannot download the entire State in one single order.Data does not cover the whole of the State.

Legal and enforcement actions undertaken by the Office of Fair Trading

This dataset describes the position and names of Recreational Points within the State of Queensland. Recreational points include: camping grounds and picnic areas.The location of the features was sourced from existing government topographic maps, regional maps and photogrammetric data. The features were validated against current orthophotography and satellite imagery and modified where necessary. Features for ongoing data capture are sourced from government and community websites and National Park maps and their location is digitized from current orthophotography and satellite imagery. Additional data is supplied by Geoscience Australia as part of their 25K large scale data capture and commitment to the National Topographic Information Coordination Initiative (NTICI). In most cases these features have been identified through fieldwork by Geoscience Australia staff.

This dataset contains Queensland's limousine and taxi service licence values, including licence type, transfer values and locations.

The information published in this register includes transfer prices of taxi service licences and limousine licences. In December 2024 a complete review was undertaken to remove duplicate entries and anomalies to ensure data integrity and accuracy. Please disregard all previous versions.

The figures reflect the value of the licence only and do not include other costs associated with the sale, such as shares or vehicle costs.

The values may not always reflect ‘arms length’ transactions. For example, some transfers may be the result of a sale of partnership or organisational name change. In instances where a licence is transferred as a result of a business name change or a deceased estate, the licence value reflected in the register may be zero. In the case of taxi service licences, where the value of a licence transfer appears lower than average for that period, it may be the case that there were special conditions (for example – an owner/driver condition) imposed upon the licence at that time.

The Department of Transport and Main Roads (TMR) plays no part in commercial transactions between private parties and does not determine the market value of any taxi service licence or limousine licence.

The information published in this register is public information. Further enquiries about the information must be directed to The Department of Transport and Main Roads Right to Information Unit. In accordance with relevant privacy laws, TMR is unable to disclose personal details about any transaction unless required to do so by law.

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Surface expression GDEs are ecosystems that are dependent on the discharge of groundwater on a permanent or intermittent basis to meet all or some of their water requirements so as to maintain their communities of plants and animals, ecological processes and ecosystem services. Surface expression GDE area features include wetlands and regional ecosystems that have some surface groundwater dependency. This dataset is one of five datasets that describe the distribution of known and potential GDEs across the landscape. The complete set of GDE datasets is listed below. Information about the location and extent of known and potential GDEs was sourced from expert knowledge, literature and existing datasets. 1. Surface expression GDE points 2. Surface expression GDE lines 3. Surface expression GDE areas 4. Terrestrial GDE areas 5. Subterranean GDE areas As the different types of GDEs represent different overlapping layers or cross-sections of the landscape, it is recommended that the datasets be mapped in the order of listing shown above (i.e. surface expression GDE points on top) to maintain logical consistency and assist visualisation.

Dataset History

This dataset was developed from work done by the Queensland Herbarium and other Queensland agencies as well as from expert elicitation at workshops.

Linework to delineate the GDE extent was sourced from the following datasets (held by the Queensland Herbarium, Department of Science, Information Technology, Innovation and the Arts): 1. Queensland Wetland Data Wetlands Mapping (2009 extent, Version 3.0) 2. Vegetation Communities and Regional Ecosystems (REs) of Queensland (2009 extent, Version 7.0) Although the wetlands linework was typically used to represent surface expression GDEs and regional ecosystems linework typically used to represent terrestrial GDEs, this was not always the case. A notable exception is the inclusion of riverine regional ecosystems as potential terrestrial GDEs. Non-wetland regional ecosystems have been used to delineate areas that may potentially contain surface expression GDEs such as geological contact zones where springs may be not detected as a wetland in current wetlands mapping due to their small size. ATTRIBUTION The attribution for this dataset was sourced from expert knowledge, literature and existing spatial datasets. Information about the location and extent of groundwater was collected at GDE workshops held for the eastern Murray-Darling Basin and Wide Bay and Burnett mapping areas. Information collected from regional staff and other experts with local knowledge of groundwater included the location of wetlands, springs and stream baseflow. Known and potential GDEs were identified in the GDE workshops and this is attributed in the data with the level of confidence (i.e. high, moderate or low) in the knowledge about the GDE. The degree of groundwater dependency is not described. An important part of the information collection at the GDE workshops included the capture of pictorial conceptual models which are representations of observed objects, phenomena and processes in a logical and objective way with the aim of constructing a formal system whose theoretical consequences are not contrary to what is observed in the real world. These pictorial conceptual models will be hyperlinked to the GDE spatial data to aid the interpretation of the data. For more information refer to the GDE pictorial conceptual models. Another key part of the information collected was the identification of GDE decision rules that described combinations of conditions where ecosystems are or are likely to be dependent on groundwater at a specific site or local area according to expert knowledge. GDE decision rules may include descriptions of conditions such as geology, vegetation, topographic position, elevation and rainfall zones. These decision rules were subsequently categorised and combined into GDE mapping rule-sets in preparation for their application using geographic information system (GIS) technology. GDE mapping rule-set is a combination of related decision rules with similar groundwater dependent ecosystem drivers and processes that when applied to spatial data sets through GIS analysis delineate where ecosystems are or are likely to be dependent on groundwater. These GDE mapping rule-sets are used to determine the 'derived' potential GDEs that make up the majority of the GDE mapping. A full list of GDE mapping rule-sets developed for the eastern MDB and WBB regions is described below. Note that where the GDE mapping rule-sets are used, this may result in the identification of surface expression GDEs and/or terrestrial GDEs according to the local conditions and landscape drivers.

Source:

Dataset Citation

"Queensland Department of Science, Information Technology, Innovation and the Arts" (2013) South East Queensland GDE (draft). Bioregional Assessment Source Dataset. Viewed 25 October 2017, http://data.bioregionalassessments.gov.au/dataset/3b523838-d2a0-4cdc-a792-8ff38d4651ab.

Sensor data from 2023-2024 for the NCount WiFi Counters located within the Sugar Bag Road Recreation Reserve.Example Device ID: 014ddfDevice/manufacturer name: NCountDevice category: CountingDevice function: WiFi counterMetrics: Counts of devicesAggregation: New, current, total (sum), All others (first)Use case: Event monitoring, asset usage, pedestrian/traffic movement

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Surface expression GDEs are ecosystems that are dependent on the discharge of groundwater on a permanent or intermittent basis to meet all or some of their water requirements so as to maintain their communities of plants and animals, ecological processes and ecosystem services. Surface expression GDE areafeatures include wetlands and regional ecosystems that have some surface groundwater dependency. This dataset is one of five datasets that describe the distribution of known and potential GDEs across the landscape. The complete set of GDE datasets is listed below. Information about the location and extent of known and potential GDEs was sourced from expert knowledge, literature and existing datasets. 1. Surface expression GDE points 2. Surface expression GDE lines 3. Surface expression GDE areas 4. Terrestrial GDE areas 5. Subterranean GDE areas As the different types of GDEs represent different overlapping layers or cross-sections of the landscape, it is recommended that the datasets be mapped in the order of listing shown above (i.e. surface expression GDE points on top) to maintain logical consistency and assist visualisation.

:

This dataset is one of five datasets that describe the distribution of known and potential GDEs across the landscape. The complete set of GDE datasets is: 1. Surface expression GDE points, 2. Surface expression GDE lines, 3. Surface expression GDE areas, 4. Terrestrial GDE areas, 5. Subterranean GDE areas.

Dataset History

Linework to delineate the GDE extent was sourced from the following datasets (held by the Queensland Herbarium, Department of Science, Information Technology, Innovation and the Arts): 1. Queensland Wetland Data Wetlands Mapping (2009 extent, Version 3.0) 2. Vegetation Communities and Regional Ecosystems (REs) of Queensland (2009 extent, Version 7.0) Although the wetlands linework was typically used to represent surface expression GDEs and regional ecosystems linework typically used to represent terrestrial GDEs, this was not always the case. A notable exception is the inclusion of riverine regional ecosystems as potential terrestrial GDEs. Non-wetland regional ecosystems have been used to delineate areas that may potentially contain surface expression GDEs such as geological contact zones where springs may be not detected as a wetland in current wetlands mapping due to their small size. ATTRIBUTION The attribution for this dataset was sourced from expert knowledge, literature and existing spatial datasets. Information about the location and extent of groundwater was collected at GDE workshops held for the eastern Murray-Darling Basin and Wide Bay and Burnett mapping areas. Information collected from regional staff and other experts with local knowledge of groundwater included the location of wetlands, springs and stream baseflow. Known and potential GDEs were identified in the GDE workshops and this is attributed in the data with the level of confidence (i.e. high, moderate or low) in the knowledge about the GDE. The degree of groundwater dependency is not described. An important part of the information collection at the GDE workshops included the capture of pictorial conceptual models which are representations of observed objects, phenomena and processes in a logical and objective way with the aim of constructing a formal system whose theoretical consequences are not contrary to what is observed in the real world. These pictorial conceptual models will be hyperlinked to the GDE spatial data to aid the interpretation of the data. For more information refer to the GDE pictorial conceptual models. Another key part of the information collected was the identification of GDE decision rules that described combinations of conditions where ecosystems are or are likely to be dependent on groundwater at a specific site or local area according to expert knowledge. GDE decision rules may include descriptions of conditions such as geology, vegetation, topographic position, elevation and rainfall zones. These decision rules were subsequently categorised and combined into GDE mapping rule-sets in preparation for their application using geographic information system (GIS) technology. GDE mapping rule-set is a combination of related decision rules with similar groundwater dependent ecosystem drivers and processes that when applied to spatial data sets through GIS analysis delineate where ecosystems are or are likely to be dependent on groundwater. These GDE mapping rule-sets are used to determine the 'derived' potential GDEs that make up the majority of the GDE mapping. A full list of GDE mapping rule-sets developed for the eastern MDB and WBB regions is described below. Note that where the GDE mapping rule-sets are used, this may result in the identification of surface expression GDEs and/or terrestrial GDEs according to the local conditions and landscape drivers.

Dataset Citation

"Queensland Department of Science, Information Technology, Innovation and the Arts" (2013) Queensland groundwater dependent ecosystems. Bioregional Assessment Source Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/10940dfa-d7ef-44fb-8ac2-15d75068fff8.

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are represented here as originally supplied.

Groundwater dependent ecosystems (GDEs) are ecosystems that are dependent on the discharge of groundwater on a permanent or intermittent basis to meet all or some of their water requirements so as to maintain their communities of plants and animals, ecological processes and ecosystem services. This dataset contains five feature classes that describe the distribution of known and potential GDEs across the landscape. Information about the location and extent of known and potential GDEs was sourced from expert knowledge, literature and existing datasets. The complete set of GDE feature classes is: 1. Surface expression GDE points v01_3, 2. Surface expression GDE lines v01_3, 3. Surface expression GDE areas v01_3, 4. Terrestrial GDE areas v01_3, 5. Subterranean GDE areas v01_0. As the different types of GDEs represent different overlapping layers or cross-sections of the landscape, it is recommended that the datasets be displayed in the order of listing shown above (i.e. surface expression GDE points on top) to maintain logical consistency and assist visualisation.

Shallowest watertable aquifer mapping identifies the extent and key characteristics of the shallowest watertable aquifers in a landscape. Watertable aquifers are unconfined geological formations that store and transmit groundwater. There may be other deeper aquifers not captured in this mapping (e.g. confined aquifers). Shallowest watertable aquifer mapping has been characterised according to a range of criteria including confinement, geology, porosity, groundwater flow system, salinity, pH, recharge process, temporal and spatial connectivity with surface ecosystems, etc.

The shallowest watertable aquifer mapping consists of 1 data set which can be viewed independently or complementary to Queensland's GDE mapping.

Purpose

The GDE mapping identifies the distribution and type of ecosystems across the landscape that may be dependent on either the surface presence or sub-surface presence of groundwater. This dataset contains five feature classes that describe the distribution of known and potential GDEs across the landscape.

The Shallowest watertable aquifer mapping identifies the extent and key characteristics of the shallowest watertable aquifers in a landscape and their potential to support GDEs. The shallowest watertable aquifer mapping consists of 1 data set which can be viewed independently or complementary to Queensland's GDE mapping

Dataset History

Lineage statement:

Linework to delineate the GDE extent was sourced from the following datasets (held by the Queensland Herbarium, Department of Science, Information Technology and Innovation): 1. Queensland Wetland Data Wetlands Mapping (2009 extent, Version 3.0) 2. Vegetation Communities and Regional Ecosystems (REs) of Queensland (2011 extent, version 8.0 for Lake Eyre catchments and 2009 extent, Version 7.0 for all other surveyed catchments). Although the wetlands linework was typically used to represent surface expression GDEs and regional ecosystems linework typically used to represent terrestrial GDEs, this was not always the case. Non-wetland regional ecosystems have been used to delineate areas that may potentially contain surface expression GDEs such as geological contact zones where springs may be not detected as a wetland in current wetlands mapping due to their small size. ATTRIBUTION The attribution for this dataset was sourced from expert knowledge, literature and existing spatial datasets. Information about the location and extent of groundwater was collected at GDE workshops held for the Murray-Darling Basin, Wide Bay- Burnett, Pumicestone Passage, Mackay-Whitsunday, South East Queensland, Lake Eyre Basin, Cooper Basin and Galilee Basin mapping areas. Information collected from regional staff and other experts with local knowledge of groundwater included the location of wetlands, springs and stream baseflow. Known and potential GDEs were identified in the GDE workshops and this is attributed in the data with the level of confidence (i.e. high, moderate or low) in the knowledge about the GDE. An important part of the information collection at the GDE workshops included the capture of pictorial conceptual models which are representations of observed objects, phenomena and processes in a logical and objective way with the aim of constructing a formal system whose theoretical consequences are not contrary to what is observed in the real world. These pictorial conceptual models will be hyperlinked to the GDE spatial data to aid the interpretation of the data. For more information refer to the GDE pictorial conceptual models. Another key part of the information collected was the identification of GDE decision rules that described combinations of conditions where ecosystems are or are likely to be dependent on groundwater at a specific site or local area according to expert knowledge. GDE decision rules may include descriptions of conditions such as geology, vegetation, topographic position, elevation and rainfall zones. These decision rules were subsequently categorised and combined into GDE mapping rule-sets in preparation for their application using geographic information system (GIS) technology. A GDE mapping rule-set is a combination of related decision rules with similar groundwater dependent ecosystem drivers and processes that when applied to spatial data sets through GIS analysis delineate where ecosystems are or are likely to be dependent on groundwater. These GDE mapping rule-sets are used to determine the 'derived' potential GDEs that make up the majority of the GDE mapping.

The surface GDE points data-set is derived from the Queensland Springs Database and is produced on a state-wide basis.

Linework to delineate the shallowest watertable aquifer was sourced from landzone obtained from Regional Ecosystems (REs) of Queensland (2011 extent, version 8.0 for Lake Eyre catchments and 2009 extent, Version 7.0 for South East Queensland catchments) utilizing the same expert knowledge that formulated the GDE mapping rule-sets.

Source:

Department of Environment and Heritage Protection

Dataset Citation

Queensland Herbarium, Department of Science, Information Technology, Innovation and the Arts (2015) Queensland Groundwater Dependent Ecosystems and Shallowest Watertable Aquifer 20150714. Bioregional Assessment Source Dataset. Viewed 07 December 2018, http://data.bioregionalassessments.gov.au/dataset/3d36e3d4-b16b-43b3-b2eb-c1aea7ef9193.