AndreaBozzo/ceres-open-data-index huggingface dataset:
Jobs 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 employment (number of jobs) 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 'Jobs 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 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: census-of-land-use-and-employment, cityreactivation, clue, clue-blocks, clue2018, employment, jobs, office, retail, space-use
Organization: City of Melbourne Open Data
Pedestrian Counting System - Sensor Locations

This dataset contains status, location and directional information for each pedestrian sensor device installed throughout the city.  The sensor_id column can be used to merge the data with related datasets. 

Since the inauguration of the Pedestrian Counting System in 2009, some sensor devices have been removed or relocated. This may be for various reasons such as construction works. Others may be inactive due to a temporary issue. This is detailed in the notes column.  Any changes to sensor locations are important to consider when analysing and interpreting historical pedestrian counting data.

Sensors are typically installed under an awning or on a street pole to form a counting zone on the footpath below. They record bi-directional pedestrian movements through the zone, 24 hours, every day. Locations are selected based on three criteria – retail and event activity, regular pedestrian use and the egress and entry flow to these areas. The system records movements, not images, so no individual information is collected.  New sensor devices have been recently installed, with more to come in the near future as part of the city’s commitment to expanding the system. 

Status field:
This field indicates if the sensor is expected to be active and is manually maintained as needed. A pedestrian sensor with an active value ('A') may be unavailable in some situations. 

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 – 2009 to Present (counts per hour)Pedestrian Counting System – Past Hour (counts per minute)

Tags: cityreactivation, directions, foot-traffic, locations, pedestrian, safemobility, sensors, status, traffic-flow
Organization: City of Melbourne Open Data
Rooftops with environmental retrofitting opportunities ("Rooftop Project")

The Rooftop Project dataset shows where there may be opportunities to retrofit existing building rooftops for green roofs (intensive and extensive), cool roofs and solar panel installations in Melbourne. 

There are four ESRI shapefiles comprising the main output of this project. These datasets have been zipped into a single download file. 

Preview the data in an interactive map view here.  

The raw project files are also availible in a GeoTiff file format, if you would like access to these, they are available for download from the attachments section below.

Tags: climate-adaptation, green, infrastructure, rooftop, urbanforest
Organization: City of Melbourne Open Data
Traffic Count Vehicle Classification 2014-2017

The City of Melbourne employs a contractor to perform traffic counts on roads throughout the municipality. The numbers of vehicles are recorded per hour and split into 12 categories based on the Austroads vehicle classification. Vehicle class 13 is used when the type of vehicle can’t be determined.

In the 2017/16 surveys all bikes, motorcycles and maximum speeds were captured. In the 2015 surveys not all surveys captured bikes, motorcycles and maximum speed. In the 2014 surveys no bikes, motorcycles or maximum speed were captured.

This data is designed to be joined to the road corridor data on road_segment and seg_id. Some records have more than one road segment this is because the survey crosses intersecting roads and the intersections have a road segment number. In the Road corridor table some road segments will have the same seg_id.


For a description of each field please see the attached data dictionary.

Known data issues:
- 112 records had vehicle_class fields which contained the character '-'. This should value should be a 0 value.

Tags: count, movement, transport, vehicle
Organization: City of Melbourne Open Data
On-street Parking Bay Sensors

This dataset contains information from in-ground car parking bay sensors across the city with status indicating if a car is present or not present, the spatial coordinate of the sensor, and the Kerbside id. 
Additional information:
Further information about City of Melbourne's parking sensors can be found here.

Outages
This dataset is updated through network relays and can be disrupted causing delays in data updates. Users of this data are encouraged to monitor the dataset's last updated timestamp (Lastupdated column) to check for delays in the data being updated. 

Disclaimer
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: accessibility, disability, near-real-time, parking, safemobility, sensor, sensors, transport, travel, vacancy
Organization: City of Melbourne Open Data
Business establishments 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 2002-24. It shows the number of business establishments per city (CLUE) block, classified by their ANZSIC1 industry and small area allocation.

To see total values for the entire City of Melbourne municipality please refer to the 'Business establishments per ANZSIC in municipality' dataset.

A business establishment is defined as a 
•  Commercial occupant in a building 
•  Separate land use 
•  Any permanent presence of economic activity in accordance with standard Industry classification (ANZSIC).
Hence, if one organisation has its presence in several buildings in the CLUE area, each time it will be counted as a separate establishment. Consequently, the count of establishments presented in CLUE represents the number of locations, rather than 'enterprises'.

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, establishments, industry
Organization: City of Melbourne Open Data
City of Melbourne Liveability and Social Indicators

Indicators help us to assess our municipality's performance, measure progress and compare with other cities. The results also help us monitor our Council Plan and guide policy, planning and management to ensure that Melbourne continues to be a liveable, bold, inspirational and sustainable city.

A visual representation of the indicators presented here can be found in our online visualisation. The indicators are from a select list we collect for the following two main activities: 

1. The City of Melbourne Social Indicator Survey (CoMSIS) provides insight into the health, wellbeing, participation and connection of residents in our city. This data is collected to directly address some of the Council Plan’s municipal outcome indicators and support our health and wellbeing priorities. Findings of the survey give insight into the perceived quality of life for our residents.

2. The World Council on City Data (WCCD) is a network of cities committed to improving services and quality of life with open city data and standardised urban indicators. The WCCD developed and oversees an international standard for city data: ISO 37120 Sustainable Development of Communities: Indicators for City Services and Quality of Life. The City of Melbourne is a member of this network and annually submits indicators for verification in accordance with this standard.

Related datasets: Social Indicators for City of Melbourne Residents 2018

Tags: connection, health, indicators, liveability, participation, quality-of-life, safety, services, stats, wellbeing
Organization: City of Melbourne Open Data
On-street Car Parking Sensor Data - 2020 (Jan - May)

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 period of Jan 1st 2020 to May 2020. This dataset was released to support customer requests to understand the impact of Covid-19 on city movement.

Download:

Download compressed CSV (258.5MB, 14.2 million rows)

Tags: accessibility, covid-19, movement, parking, sensors, transport, travel
Organization: City of Melbourne Open Data
On-street Car Parking Meters with Location

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

This dataset shows the location and information about council's on-street car parking meters. It contains information about the parking meter model type, if the model accepts credit card and tap 'n go facilities.

Tags: car, machine, meters, parking, ticket, transport
Organization: City of Melbourne Open Data
Garbage collection zones

Polygon data of Garbage Collection Zones for the City of Melbourne. Includes waste and recycling, with date, repeat and interval in ISO8601.



Data was created following the Open Council Data Standards. 



Data field metadata can be found here: http://standards.opencouncildata.org/#/garbage-collection-zones.



Although all due care has been taken to ensure that these data are correct, no warranty is expressed or implied by the City of Melbourne in their use.

Tags: bin, collection, garbage, ocd-garbage, ocd-garbage-22, waste, waste-collection
Organization: City of Melbourne Open Data
Laneways with greening potential

This dataset includes City of Melbourne’s mapping of greening potential in laneways across the municipality. 'Greening' in this dataset refers to four types of possible greening responses: forest lanes, farm lanes, park lanes and vertical gardens. Higher gridcodes indicate lower potential for adaptation - i.e. a gridcode of 1 is optimal.



This dataset can be used the general public, developers, landscape architects and other interested parties who want to know what the future of green laneways may look like for Melbourne. This dataset can be used as a starting point for greening projects including forest, farm and park lanes as well as vertical gardens



Anyone interested in potential greening within the city should contact the City of Melbourne or visit the Green Infrastructure webpages found on the  City of Melboune website here. The Growing Green Guide is another helpful and comprehensive guide for the building and maintaining green roofs, walls and facades in Melbourne and Victoria.



The Laneways with greening potential dataset is part of a larger suite of work by City of Melbourne to explore and implement contemporary and unique ways of greening in the city that can help combat increased urban density and loss of public open space. Green laneways are an exciting way to liven up the city, and help residents and visitors to explore Melbourne while also combating increasing threats of stormwater runoff, the urban heat island and biodiversity loss.

Tags: climate-adaptation, green-infrastructure, greening, laneways, urbanforest
Organization: City of Melbourne Open Data
Floor space 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 floor space (in square meters) per city (CLUE) block, classified by their ANZSIC1 industry and small area allocation. 

The City of Melbourne creates unique codes to account for floor space allocated to residential space, vacant space, open space and common area. These unique codes are not included within ANZSIC 1 classification and therefore these floor areas are not included in this data set.

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 CLUE industry 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 Blocks for Census of Land Use and Employment (CLUE) — CoM Open Data Portal

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, clue, clue-2018, clue-blocks, floor-space, industry
Organization: City of Melbourne Open Data
Block level energy consumption (modelled on building attributes) - 2016 projection - retrofit scenario

This dataset should be read alongside other energy consumption datasets on the City of Melbourne open data platform as well as the following report:



http://imap.vic.gov.au/uploads/Meeting%20Agendas/2014%20August/Att%207a_IMAP_Energy_Map_-CSIRO-Energy_Use_2011-2026_Report-2014June30-Final_pdf_11.2MB.pdf



The dataset outlines modelled energy consumption across the City of Melbourne municipality. It is not energy consumption data captured by a meter, but modelled data based on building attributes such as building age, floor area etc. This data was provided by the CSIRO as a result of a study commissioned by IMAP Councils. The study was governed by a Grant Agreement between Councils and the CSIRO, which stated an intent for the data to be published. This specific dataset is presented at a block level scale. It includes both commercial and residential buildings and is a 2016 projection, relative to a 2011 baseline, based on a scenario of buildings being retrofitted. It does not include the industrial sector.

Tags: building-managment, buildings, cityreactivation, climate, electricity, energy, energy-management, energy-performance, green-buildings, property-management
Organization: City of Melbourne Open Data
On-street Car Parking Sensor Data - 2012

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 2012 calendar year.


Known data issues: 


1. There are 1,139,275 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 (1.51GB, 52.5 million rows)

Tags: accessibility, parking, sensors, transport, travel
Organization: City of Melbourne Open Data
Business establishments per CLUE industry for blocks

Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-24. It shows the number of business establishments per city (CLUE) block, classified by their CLUE industry (from ANZSIC) and small area allocation.

To see total values for the entire City of Melbourne municipality please refer to the 'Business establishments per CLUE industry in municipality' dataset.

A business establishment is defined as a 
•  Commercial occupant in a building 
•  Separate land use 
•  Any permanent presence of economic activity in accordance with standard Industry classification (ANZSIC).
Hence, if one organisation has its presence in several buildings in the CLUE area, each time it will be counted as a separate establishment. Consequently, the count of establishments presented in CLUE represents the number of locations, rather than 'enterprises'.

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: business, census-of-land-use-and-employment, cityreactivation, clue, establishments, industry
Organization: City of Melbourne Open Data
Jobs per CLUE industry 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) per city (CLUE) block, classified by their CLUE industry (from ANZSIC1) and small area allocation.

To see CLUE block level data, please refer to the 'Business establishments per CLUE industry for blocks' dataset. 

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 CLUE industry 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: business, census-of-land-use-and-employment, cityreactivation, clue, employment, industry, jobs
Organization: City of Melbourne Open Data
On-street Car Parking Sensor Data - 2013

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 2013 calendar year


Known data issues: 


1. There are 987,179 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 (1.24GB, 43.2 million rows)

Tags: accessibility, parking, sensors, transport, travel
Organization: City of Melbourne Open Data
On-street Car Parking Sensor Data - 2015

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 2015 calendar year.


Known data issues: 


1. There are 453,178 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 2015 car parking event data there are 4,138 records where the parking event goes into 2016 and ends at midnight.

Download:

Download compressed CSV (1.17GB, 37.5 million rows)

Tags: accessibility, parking, sensors, transport, travel
Organization: City of Melbourne Open Data
Block level energy consumption (modelled on building attributes) - 2021 projection - retrofit scenario

This dataset should be read alongside other energy consumption datasets on the City of Melbourne open data platform as well as the following report:



http://imap.vic.gov.au/uploads/Meeting%20Agendas/2014%20August/Att%207a_IMAP_Energy_Map_-CSIRO-Energy_Use_2011-2026_Report-2014June30-Final_pdf_11.2MB.pdf



The dataset outlines modelled energy consumption across the City of Melbourne municipality. It is not energy consumption data captured by a meter, but modelled data based on building attributes such as building age, floor area etc. This data was provided by the CSIRO as a result of a study commissioned by IMAP Councils. The study was governed by a Grant Agreement between Councils and the CSIRO, which stated an intent for the data to be published. This specific dataset is presented at a block level scale. It includes both commercial and residential buildings and is a 2021 projection, relative to a 2011 baseline, based on a scenario of buildings being retrofitted. It does not include the industrial sector.

Tags: building-managment, buildings, cityreactivation, climate, electricity, energy, energy-management, energy-performance, green-buildings, property-management
Organization: City of Melbourne Open Data