AndreaBozzo/ceres-open-data-index huggingface dataset:
Workers Profile 2016

Contains demographic profile information for workers from the Australian Bureau of Statistics (ABS) 2016 Census of Population and Housing. Data has been aggregated based on work location. 

This data has been derived from the ABS Census TableBuilder online data tool  (http://www.abs.gov.au/websitedbs/D3310114.nsf/Home/2016%20TableBuilder) by Australian Bureau of Statistics, used under CC 4.0.

Tags: census, community-profiles, population, stats, workers
Organization: City of Melbourne Open Data
Digital Surface Model

A terrain surface dataset that represents the height value of all natural and built features of the surface of the city. Each pixel within the image contains an elevation value in accordance with the Australian Height Datum (AHD). 

The data has been captured in May 2018 as GeoTiff files, and covers the entire municipality. 

A KML tile index file can be found in the attachments to indicate the location of each tile, along with a sample image.

Capture Information:

Capture Pixel Resolution: 0.1 metres

Limitations:

Whilst every effort is made to provide the data as accurate as possible, the content may not be free from errors, omissions or defects.

Preview:



Download:

A zip file containing all relevant files representing the Digital Surface Model

Download Digital Surface Model data (12.0GB)

Tags: 3d, analysis, buildings, dsm, environment, geo, gis, model, modelling, planning, spatial, terrain, vegetation
Organization: City of Melbourne Open Data
Off-street car parks with capacity and type

Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2024.
The number of off-street car parking spaces per property is recorded in CLUE. Car parking can be classified as:
•  Commercial: Car parking in a publicly accessible, paid parking facility
•  Residential: Car parking in a residential building or property
•  Private: Car parking in a non-residential building that is provided for use by staff, customers or visitors.

For more information see http://www.melbourne.vic.gov.au/clue

Tags: accessibility, car, cars, census-of-land-use-and-employment, cityreactivation, clue, parking
Organization: City of Melbourne Open Data
City of Melbourne 3D Textured Mesh (Photomesh) 2018

3D textured mesh (photomesh) representing all physical features (e.g. buildings, trees and terrain) across City of Melbourne.  The 3D textured mesh is provided in object file format (.obj) and is accompanied by material (.mtl) and image texture (.jpg) files.

The data has been split into a series of tiles covering the entire municipality. An index file (Tile_Index.kml) is included to indicate the geo-spatial location of each tile. To position the mesh in its real world location, use the origin coordinates found in the metadata file (metadata.xml).

The 3D textured mesh is provided in different levels of detail, as indicated in the file name of the .obj filename. The levels of detail vary from L13 (lowest level of detail) to L20 (highest level of detail).

Capture Information
- Capture Date: May 2018
- Capture Pixel Size: 7.5cm ground sample distance
- Map Projection: MGA Zone 55 (MGA55) 
- Vertical Datum: Australian Height Datum (AHD) 
- Spatial Accuracy (XYZ): Supplied survey control used for control (Madigan Surveying)

Contents
The download is a zip file containing compressed:
- Object files (.obj)
- Material files (.mtl)
- Image textures (.jpg) 
- Metadata (.xml)
- Tile index (.kml)

Preview Data:
For an interactive sample of the data please see the link below (WebGL browser required - Google Chrome recommended).
https://cityofmelbourne.maps.arcgis.com/apps/webappviewer3d/index.html?id=b555219a327b4535a89d8ec6e97780cf

Usage:
Through the download an use of this data you agree to the licensing and disclaimer conditions.
While all due care has been taken to ensure the data of this website is accurate, current and available please note: 
· there may be errors or omission in it
· there may be occasions where the data is not available and/or the website will be unavailable. 
The City of Melbourne and its employees accept no responsibility for any loss, damage, claim, expense, cost or liability whatsoever (including in contract, tort including negligence, pursuant to statue and otherwise) arising in respect of or in connection with accessing, using or reliance upon the data in this website, or the unavailability of the data or the website.

Download Photomesh data:

A zip file containing all relevant files representing the 3D city mesh model.

Download .ZIP file (9.7GB)

Tags: 3d, analysis, buildings, dsm, environment, geo, gis, mesh, model, modelling, photo, planning, spatial, terrain, vegetation
Organization: City of Melbourne Open Data
2018 Building Footprints

This dataset shows the footprints of all structures within the City of Melbourne. A building footprint is a 2D polygon (or multi-polygon) representation of the base of a building or structure. The footprint is defined as the boundary of the structure where the walls intersect with the ground plane or podium, rather than an outline of the roof area (roofprint).

Where a building has a significant change in built form, multiple footprint polygons are ‘stacked’ vertically to define shape of the built form. This includes, and is not limited to:

- Tower
- Podium
- Setbacks/offsets

To see the footprints in 3D please refer to our Development Activity Model  

The Australian Height Datum (AHD) is the national vertical datum for Australia. The National Mapping Council adopted the AHD in May 1971 as the datum to which all vertical control mapping would be referred

The data was captured in May 2018.

Tags: 3d, boundary, building-footprint, development, planning, property, spatial, structures
Organization: City of Melbourne Open Data
On-street Car Parking Sensor Data - 2011

The City of Melbourne has installed in-ground parking bay sensors in most CBD parking bays. These sensors record when a vehicle arrives and when it departs. Each record also includes the parking restriction for the bay and whether the vehicle has overstayed that restriction. This is the data for the 2011 calendar year


Known data issues: 


1.There are 488,167 records that have the text ‘OLD’ at the end of the restriction in the field named ‘Sign’. This has been investigated and determined the text refers to one of two things, either: 


· At the time of the parking event the restriction that has been captured is correct but when the data was extracted from the server (July 2017) the restriction had since changed. 


· (Or) The particular sensor has since been replaced. 


2. There are a number of records that have a negative value in the duration in field ‘seconds’. This occurs due to a sensor detecting an arrival time being after the departure time. 


3. There are a number of records where the arrival and departure times have not been recorded. If the time has not been recorded the time is calculated from midnight of the arrival day to either midnight of the departure day or to the departure time.

Download:

Download compressed CSV (592.8MB, 21.8 million rows)

Tags: accessibility, parking, sensors, transport, travel
Organization: City of Melbourne Open Data
Pedestrian Counting System (counts per hour)

This dataset contains hourly pedestrian counts since 2009 from pedestrian sensor devices located across the city. The data is updated on a monthly basis and can be used to determine variations in pedestrian activity throughout the day.
The sensor_id column can be used to merge the data with the Pedestrian Counting System - Sensor Locations dataset which details the location, status and directional readings of sensors. Any changes to sensor locations are important to consider when analysing and interpreting pedestrian counts over time.
Importants notes about this dataset:• Where no pedestrians have passed underneath a sensor during an hour, a count of zero will be shown for the sensor for that hour.• Directional readings are not included, though we hope to make this available later in the year. Directional readings are provided in the Pedestrian Counting System – Past Hour (counts per minute) dataset.
The Pedestrian Counting System helps to understand how people use different city locations at different times of day to better inform decision-making and plan for the future. A representation of pedestrian volume which compares each location on any given day and time can be found in our Online Visualisation.
Related datasets:Pedestrian Counting System – Past Hour (counts per minute)Pedestrian Counting System - Sensor Locations




Tags: foot-traffic, pedestrian, safemobility, sensors, traffic-flow
Organization: City of Melbourne Open Data
Pumping Station Locations

A pump station is a holding chamber that pumps liquids to a required area. Using transfer pumps they are installed when liquid is unable to be gravity-fed  to the required location.

This dataset can be used in conjunction with other related datasets:


Drainage

Litter Traps

Stormwater pits


Tags: asset, assets, drainage, engineering, pumpingstation, water
Organization: City of Melbourne Open Data
City of Melbourne Floor Space Forecasts by Small Area 2023-2043

This dataset provides floor space demand (sqm) forecasts by single year for 2023 to 2043. Prepared by SGS Economics and Planning (Feb-Sep 2024), forecasts are available for the municipality and small areas, as well as by industry and the type of space use. 

Further information can be found on our City Forecasts page.

 Related datasets are also available on Open Data.

Tags: business, employment, floor-space, forecast, growth, industry, small-areas, stats
Organization: City of Melbourne Open Data
Floor space per space use for blocks

Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2024. It shows floor space (in square metres) per city (CLUE) block, classified by their space use and small area allocation.

This dataset has been confidentialised to protect the commercially sensitive information of individual businesses. Data in cells which pertain to two or fewer businesses have been suppressed and are shown as a blank cell. The row totals refer to the true total, including those suppressed cells. To see column total values for the entire municipality, please refer to the 'Floor space per space use in municipality' dataset.


Non-confidentialised data may be made available subject to a data supply agreement. For more information contact cityfacts@melbourne.vic.gov.au

For CLUE block spatial files see https://data.melbourne.vic.gov.au/explore/dataset/blocks-for-census-of-land-use-and-employment-clue/information/

For space use definitions see Census of Land Use and Employment - Definitions

For more information about CLUE see http://www.melbourne.vic.gov.au/clue

Tags: census-of-land-use-and-employment, cityreactivation, clue, floor-space, office, retail, space-use
Organization: City of Melbourne Open Data
2020 Aerial Imagery

Aerial image (true ortho) mosaic of the City of Melbourne municipal area. The true ortho image has been corrected to provide a true ‘top down’ view of the city, removing building lean and other interference typically found in oblique aerial imagery. The aerial image was captured May 2020 and is available for download in georeferenced format (JPEG2000).

Capture Information

- Capture Date: May 2020

- Capture Pixel Size: 10cm ground sample distance

- Map Projection: MGA 2020 Zone 55

– 11 cm absolute accuracy

Limitations:



Whilst every effort is made to provide the data as accurate as possible, the content may not be free from errors, omissions or defects.

Preview Image:

See an example image showing the data quality of the aerial:



Download:

Download the aerial image data as a zipped .jpg2000 file. (45GB)

Tags: aerial, image, imagery, melbourne, property
Organization: City of Melbourne Open Data
City of Melbourne 3D Textured Mesh (Photomesh) 2020

3D textured mesh (photomesh) representing all physical features (e.g. buildings, trees and terrain) across City of Melbourne.  The 3D textured mesh is provided in both ESRI scene layer package (SLPK) format and object file format (.obj) accompanied by material (.mtl) and image texture (.jpg) files.

The data has been split into a series of tiles covering the entire municipality. To find the geo-spatial location of each tile, please follow the links below under 'Preview Data'
Capture Information
- Capture Date: May 2020
- Capture Pixel Size: 2cm ground sample distance
- Map Projection: MGA Zone 55 (MGA55) 
- Vertical Datum: Australian Height Datum (AHD) 
- Spatial Accuracy (XYZ):Estimated accuracies 0.05m (X), 0.6m (Y), 0.04m (Z).

Preview Data and Download Data:
For an interactive sample of the data please see the link below (WebGL browser required - Google Chrome recommended).

ESRI Scene Layer Package (SLPK) Format:

Photomesh 2020 - SLPK (arcgis.com)

Wavefront OBJ Format:


Photomesh 2020 - OBJ (arcgis.com)

Click on a region of interest within the sample and a ‘Download_URL’ link will display in the pop-up.


Usage:
Through the download an use of this data you agree to the licensing and disclaimer conditions.
While all due care has been taken to ensure the data of this website is accurate, current and available please note: 
· there may be errors or omission in it
· there may be occasions where the data is not available and/or the website will be unavailable. 
The City of Melbourne and its employees accept no responsibility for any loss, damage, claim, expense, cost or liability whatsoever (including in contract, tort including negligence, pursuant to statue and otherwise) arising in respect of or in connection with accessing, using or reliance upon the data in this website, or the unavailability of the data or the website.

Tags: 3d, analysis, buildings, dsm, environment, geo, gis, mesh, model, modelling, photo, planning, spatial, terrain, vegetation
Organization: City of Melbourne Open Data
Melbourne Bike Share Station Readings 2011-2017

This dataset show the historical Melbourne Bike Share dock usage. This program came to an end in November 2019.

This dataset contains the historical dock readings from sensors in Melbourne's Bike Share. Melbourne Bike Share is a joint RACV/Victorian Government bicycle hire scheme. This dataset contains the locations of all of the bike share pods, the number of bikes located at each pod and the number of empty slots at the pod.

Download:

Download compressed CSV (51.6MB, 5.64 million rows)

Tags: bike, historical, share, time
Organization: City of Melbourne Open Data
Small Areas for Census of Land Use and Employment (CLUE)

Spatial layer of small areas used for the City of Melbourne's Census Of Land Use And Employment (CLUE) analysis. Note that these small area boundaries do not exactly correspond with gazetted suburb or postcode boundaries.



For more information about CLUE see http://www.melbourne.vic.gov.au/clue

Tags: census-of-land-use-and-employment, clue, small-areas, suburb
Organization: City of Melbourne Open Data
Sign plates located in each Pay Stay zone

This dataset refers to a deprecated parking management solution.



A sign plate is where the parking restrictions are displayed. This data set displays parking sign plates that are within a Pay Stay zone. There can be multiple restrictions per Pay Stay zone 


This data can be linked to both the street segments to a Pay Stay zone dataset https://data.melbourne.vic.gov.au/explore/dataset/pay-stay-zones-linked-to-street-segments/information/ 

 and also the Pay Stay parking restrictions dataset

https://data.melbourne.vic.gov.au/explore/dataset/pay-stay-parking-restrictions/information/

The datasets can be joined on Pay Stay zone.


For further information on Pay Stay https://www.paystay.com.au/

Tags: parking, paystay, restrictions, signs, travel
Organization: City of Melbourne Open Data
Pay Stay parking restrictions

This dataset refers to a deprecated parking management solution.



It contains detailed historical information on parking restrictions in each Pay Stay zone. There can be multiple restrictions per Pay Stay zone per day.


This data can be linked to both the street segment Pay Stay zone dataset.

https://data.melbourne.vic.gov.au/explore/dataset/pay-stay-zones-linked-to-street-segments/information/

and also the sign plate Pay Stay zone dataset

https://data.melbourne.vic.gov.au/explore/dataset/sign-plates-located-in-each-pay-stay-zone/information/

The datasets can be joined on Pay Stay zone.


For further information on Pay Stay https://www.paystay.com.au/

Tags: parking, paystay, restrictions, signs, travel
Organization: City of Melbourne Open Data
Blocks for Census of Land Use and Employment (CLUE)

This is a spatial layer that can be used to map CLUE datasets to CLUE blocks. CLUE blocks are a geographical boundary that can be linked to CLUE information.


 This dataset previously contained information of 2016 establishments, employment and floor space which can now be found in the following datasets:



•  Business establishments per block by CLUE industry



•  Employment by block by CLUE industry



•  Floor space by use by block





In addition, these data sets also provide data from years 2002 to 2024.



For more information about CLUE see http://www.melbourne.vic.gov.au/clue 

CLUE Block boundaries have been re-aligned and modified during 2025.

Tags: census-of-land-use-and-employment, cityreactivation, clue, employment, establishments, floor-space
Organization: City of Melbourne Open Data
On-street Car Parking Sensor Data - 2014

The City of Melbourne has installed in-ground parking bay sensors in most CBD parking bays. These sensors record when a vehicle arrives and when it departs. Each record also includes the parking restriction for the bay and whether the vehicle has overstayed that restriction. This is the data for the 2014 calendar year.


Known data issues: 


1. There are 1,126,441 records that have the text ‘OLD’ at the end of the restriction in the field named ‘Sign’. This has been investigated and determined the text refers to one of two things, either:  


· At the time of the parking event the restriction that has been captured is correct but when the data was extracted from the server (July 2017) the restriction had since changed.  


· (Or) The particular sensor has since been replaced. 


2. There are a number of records that have a negative value in the duration in field ‘seconds’. This occurs due to a sensor detecting an arrival time being after the departure time. 


3. There are a number of records where the arrival and departure times have not been recorded. If the time has not been recorded the time is calculated from midnight of the arrival day to either midnight of the departure day or to the departure time. 


Data that is excluded: 


In the 2014 car parking event data there are 3,377 records where the parking event goes into 2015 and ends at midnight.

Download:

Download compressed CSV (1.56GB, 51.5 million rows)

Tags: accessibility, parking, sensors, transport, travel
Organization: City of Melbourne Open Data
Microclimate Sensor Locations - Historical

Note: these sensors are removed and new microclimate sensors are installed in the City. 

Please check https://data.melbourne.vic.gov.au/explore/dataset/microclimate-sensors-data/table/

This dataset contains the historical location and location description for each microclimate sensor device installed throughout the city. Each microclimate sensor device will have several climate sensors embedded inside. Sensor devices are typically installed on a street pole and locations are selected based on relevant project criteria.

Since the beginning of the Microclimate Sensor Readings dataset in 2019, some sensor devices have been relocated. This may be for various reasons such as construction works or re-assignment to new climate projects. Any changes to sensor locations are important to consider when analysing and interpreting historical data.

The site_id column can be used to merge the data with related dataset (linked below). Site_id refers to the location of the unique sensor device which may have changed over time. 

Related datasets:
Microclimate Sensor - Sensor Readings

Tags: air-quality, cityreactivation, climate, environment, environmental-monitoring, humidity, location, particulate, pressure, sensor, sensors, temperature, wind
Organization: City of Melbourne Open Data
On-street Parking Bays

Upcoming Changes: Please note that our parking system is being improved and this dataset may be disrupted. See more information here. 

This dataset contains spatial polygons which represent parking bays across the city. Each bay can also link to it's parking meter, and parking sensor information.


How the data joins:


There are three datasets that make up the live parking sensor release. They are the on-street parking bay sensors, on-street parking bays and the on-street car park bay information. 

The way the datasets join is as follows. The on-street parking bay sensors join to the on-street parking bays by the marker_id attribute. The on-street parking bay sensors join to the on-street car park bay restrictions by the bay_id attribute. The on-street parking bays and the on-street car park bay information don’t currently join.




Please see City of Melbourne's disclaimer regarding the use of this data. https://data.melbourne.vic.gov.au/stories/s/94s9-uahn

Tags: accessibility, areas, bays, cars, cityreactivation, parking, transport, trucks
Organization: City of Melbourne Open Data
Jobs per ANZSIC for blocks

Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2024. It shows employment (number of jobs) in the entire municipality, classified by their ANZSIC1 industry and small area allocation.

 This dataset has been confidentialised to protect the commercially sensitive information of individual businesses. Data in cells which pertain to two or fewer businesses have been suppressed and are shown as a blank cell. The row totals refer to the true total, including those suppressed cells. To see column total values for the entire municipality, please refer to the 'Jobs per ANZSIC in municipality' dataset.
Non-confidentialised data may be made available subject to a data supply agreement. For more information contact cityfacts@melbourne.vic.gov.au


For CLUE block spatial files see https://data.melbourne.vic.gov.au/explore/dataset/blocks-for-census-of-land-use-and-employment-clue/information/

For more information about CLUE see http://www.melbourne.vic.gov.au/clue

For more information about the ANZSIC industry classification system see http://www.abs.gov.au/ausstats/abs@.nsf/mf/1292.0

Tags: anzsic, business, census-of-land-use-and-employment, clue, employment, industry, jobs
Organization: City of Melbourne Open Data
Residential dwellings

Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2024. The dwelling data is based on the Council's property rates database, using a simplified classification schema of Residential Apartment, House/Townhouse and Student Apartment. The count of dwellings per residential building is shown. 

For more information about CLUE see http://www.melbourne.vic.gov.au/clue

Tags: apartments, census-of-land-use-and-employment, cityreactivation, clue, dwelling, house, residential, student-apartment, townhouse
Organization: City of Melbourne Open Data
Super Sunday Bike Count

This dataset contains observed bike counts from sites across the city known as "Super Sunday".  This is Australia’s biggest survey of recreational travel. Held annually in mid-November, the count looks at how runners, walkers, bike riders and other recreational users move around

There is a large number of fields captured for this dataset, which has been compiled into an attached metadata document.

Tags: bike-count, infrastructure, recreational-travel, safemobility, super-sunday, transport, travel
Organization: City of Melbourne Open Data