This dataset provides a list of all dashboards, data stories and insights page available on the portal and associated hyperlinks.

This layer is part of Vicmap Transport and is and extensive digital road network - line features delineating state wide road network. Includes; Bridges, Connectors, Footbridge, Ferry Route, Foot Tracks, Roads, Highways, Roundabouts & Tunnels.

Attribution for names, alias, class, direction, locality, unique feature identification, suburb/locality. Includes alternate names.

Formerly known as Road Network 1:25,000 (Full View) - Vicmap Transport (ROAD_VF)

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Department of Energy, Environment and Climate Action

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https://discover.data.vic.gov.au/dataset/vicmap-transport-road-line

GisGeoDbPres.MAPBASE.RoadSegmentDetails

The City of Melbourne's Public Open Space Contribution Register provides information on money collected from subdivision applications under the Subdivision Act 1988.​The register has the property address, prior and proposed use, date paid, percentage and amount of money collected.

This dataset provides information about road classification across the City of Casey. This includes state managed freeways, highways, and arterial roads. The dataset also includes council managed collector and local roads.

This dataset tracks real-time progress toward a comprehensive City Data Inventory.

Median prices for dwellings/townhouses, and apartments by their year of sale for the City of Melbourne.

The project monitors major new commercial and residential property development in the City of Melbourne municipality.

The outputs can inform short to medium-term supply forecasts in the commercial and residential markets. This data provides our current understanding of major development sites that are recently completed, under construction, planned or mooted in all of 13 small areas of the city.

For full details about this dataset and the meaning of each field, see the attached document.

This dataset provides the locations of property development estate boundaries within the City of Casey.

The Brisbane City Council charging areas layer provides a spatial representation of each infrastructure charges resolution document, which identifies where infrastructure charges could be levied.The Brisbane City Council charging areas layer is associated with each infrastructure charges resolution, from Brisbane Adopted Infrastructure Charges Resolution No.1 to the current infrastructure charges resolution.Detailed descriptions of where infrastructure charges can be levied are found in the relevant infrastructure charges resolution document. Links to these documents can be found on the Brisbane City Council website. The creation of the charging areas layer includes relevant Priority Development Areas (PDAs), which are published by the State of Queensland through their Open Data portal.

The Community Facilities layer forms part of Figures 40-46 in the Social Infrastructure Network Blueprint (Part C) of the Environment and Liveability Strategy. It represents existing categories of: Community health and safety; Community use; Other provider; and Sport and recreation. This layer is for the purpose of the Environment and Liveability Strategy 2017 only. Please contact Council on 5475 7272 or email mail@sunshinecoast.qld.gov.au for more information on the Environment and Liveability Strategy 2017.

This data set includes names, designations, and discovery circumstances for the numbered asteroids, sorted in order of catalog number. A similar file sorted in alphabetic order by name is also available in the Small Bodies Node asteroid data archive.

DISCOVERAQ_Colorado_Merge_Data contains pre-generated merged data files created from measurements obtained onboard the P-3B aircraft during the Colorado (Denver) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the Colorado deployment and data collection is complete.Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.DISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.

DISCOVERAQ_Colorado_Ground_TableMountain_Data contains data collected at the Table Mountain ground site during the Colorado (Denver) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the Denver deployment and data collection is complete.

Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.

DISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).

The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.

DISCOVERAQ_Colorado_Ground_EPA_Data contains data collected by the Environmental Protection Agency (EPA) at ground sites around the study area, including Chatfield Park, Fort Collins, NREL-Golden, and Denver-I25 as part of the Colorado (Denver) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the Denver deployment and data collection is complete.

Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.

DISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).

The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.

Brisbane City Council maintains more than 2180 parks across Brisbane, with more created all the time. Our parks range in size from small pocket parks to large district parks, two botanic gardens and many bushland reserves.Park locations identifies Brisbane City Council Parks within the Brisbane area. These parks are acquired through an acquisition process, either through resumptions, direct purchase, condition of subdivision approval, donated assets or as a reserve with Council as Trustee.More information about parks can be found on the Brisbane City Council website or by phoning Council’s Contact Centre on (07) 3403 8888.

Land use code definitions are used to determine the differential rating categorisation for properties across Brisbane City Council.

The land use code indicates the predominant use for which the property is utilised or adapted to be utilised by virtue of its structure, fixtures and fittings or particular improvements and is an indicator of the property's specific rating criteria.

The land use code is part of the Council's property record held in the core land database and indicates the predominant use for which the property is utilised or adapted to be utilised by virtue of its structure, fixtures and fittings or particular improvements and is an indicator of the property's specific rating criteria.

The primary land use code identifies the predominant use for which the property is utilised and is an indicator of the property’s specific rating category, while the secondary land use code applied where a lesser use is also engaged on the property.

The specific rating criteria are used to identify into which Differential Rating Category a property will be placed in accordance with the annual Resolution of Rates and Charges.

In determining the predominant use, consideration will be given but not limited to the Visual, Spatial and Economic aspects of the land. Area is not the principal basis for determining the predominant use. The predominant use may be determined and applied during the construction phase of a structure and will be identified by its ultimate land use code followed by a secondary land use code of 01.

Rating category definitions are used to determine the rating of properties across Brisbane City Council.

Rating category definitions are contained in the Resolution of Rates and Charges which is the formal resolution that sets out the various rates levied by Council and any associated charges.

Resolution of rates and charges tables are used in identifying the rating categories and charges for rateable properties across Brisbane City Council for the financial year.

Information in this dataset relating to land use code definitions or relating to rating category definitions must be read in conjunction with the Resolution of Rates and Charges section of the Annual Plan and Budget 2018-19. Annual Plan and Budget documents are available on the Brisbane City Council website.

For more information about Brisbane City Council’s budget, please visit www.brisbane.qld.gov.au or phone Council’s Contact Centre on (07) 3403 8888.

DISCOVERAQ_California_Ozonesondes_Data contains data collected via ozonesonde lauches at the Porterville ground site during the California (San Joaquin Valley) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the California deployment and data collection is complete.Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.DISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.

DISCOVERAQ_Colorado_AircraftRemoteSensing_B200_HSRL-2_Data contains remotely sensed data collected by the High Spectral Resolution Lidar-2 (HSRL-2) onboard NASA's B-200 aircraft during the Colorado (Denver) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the Colorado deployment and data collection is complete.Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.DISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.

The data set contains vulnerability discovery metric data extracted from 26 primary studies identified as part of the systematic literature review conducted. The review was conducted as part achieving our overall research vision to assist software engineers in building secure software by providing a technique that generates scientific, interpretable, and actionable feedback on security as the software evolves.