AndreaBozzo/ceres-open-data-index huggingface dataset:
Microclimate Sensor Readings-Historical

This dataset contains historical environmental readings from microclimate sensors located across the city. The data was updated every hour in fifteen minute increments and can be used to determine variations in microclimate changes throughout the day. Microclimate data includes: - Ambient air temperature - Relative humidity - Barometric pressure - Particulate matter 2.5 - Particulate matter 10 - Average wind speed The Microclimate Sensor Readings helps us to understand temperature, relative humidity, pressure, particulate matter 2.5, particulate matter 10, and average wind speed at different locations and different times of day to better inform decision-making and plan for the future. Additional values are included in this dataset to provide an easier way to correlate the data with the official EPA Victoria data. These can be identified with the value 'epa' included in the type column. EPA Victoria report air quality readings in 1 hour and 24 hour averages. This includes; ambient air temperature readings in 1 hour average, relative humidity readings in 1 hour average, particulate matter 2.5 readings in 1 hour and 24 hour averages, and particulate matter 10 readings in 1 hour and 24 hour averages. The site_id column can be used to merge the data with the [Sensor Locations dataset] which contains the sensor location. Any changes to sensor locations are important to consider when analysing and interpreting historical microclimate data. Note this dataset may not contain a reading for every sensor for every 15 minutes as the sensor devices might not have a reading for each value. There may be situations where no readings are reported for all sensors or only some readings are reported at a particular site. For the description of each sensor please see the [sensor type document]. Related datasets: [Microclimate Sensors - Sensor Locations]
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.
Soil Sensor Readings - Historical data (2022)

This dataset contains historical readings for soil sensors within parks across the City of Melbourne, for calendar year 2022 (current year data data is [here]). The sensors take a variety of readings such as salinity, temperature and moisture. The units and readings are included within the data. This dataset can be joined to the [soil sensor locations] dataset using the site id column. This dataset contains a large number of records, to download only a particular sensor's readings see our attached [guide on how to filter data]. 📎 Note: An attachment ZIP file is available for download that contains the complete historical data for 2022. Different readings taken (based on unit column): - %VWC: Volumetric water content is a numerical measure of soil moisture. It is simply the ratio of water volume to soil volume. - ºC: Temperature in degrees celsius. - µS/cm: Salinity is the measure of the concentration of dissolved (soluble) salts in water from all sources. (microseimens per centimetre) Note this dataset may not contain a reading for every sensor for every hour as the sensor devices might not have a reading for each value. There may be situations where no readings are reported for all sensors or only some readings are reported at a particular site.
On-street Car Parking Sensor Data - 2017

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 2017 calendar year. Known data issues: 1. There are 860 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 (April 2018) 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 2017 car parking event data there are 3,858 records where the parking event goes into 2018 and ends at midnight. Download: [Download] compressed CSV (1.13GB, 35.9 million rows)
Soil Sensor Readings - Historical data

This dataset contains historical readings for soil sensors within parks across the City of Melbourne. The sensors take a variety of readings such as salinity, temperature and moisture. The units and readings are included within the data. This dataset can be joined to the [soil sensor locations] dataset using the site id column. This dataset contains a large number of records, to download only a particular sensor's readings see our attached [guide on how to filter data]. 📎 Note: An attachment file is available for download that contains the complete historical data for 2023. Different readings taken (based on unit column): - %VWC: Volumetric water content is a numerical measure of soil moisture. It is simply the ratio of water volume to soil volume. - ºC: Temperature in degrees celsius. - µS/cm: Salinity is the measure of the concentration of dissolved (soluble) salts in water from all sources. (microseimens per centimetre) Note this dataset may not contain a reading for every sensor for every hour as the sensor devices might not have a reading for each value. There may be situations where no readings are reported for all sensors or only some readings are reported at a particular site. Historical Data Link * History File: [SoilSensorReading_HistoryData]
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)
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)
On-street Car Parking Sensor Data - 2019

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. An event will include if a vehicle was present or not which can determine stay time and vacancy time. Download: [Download] compressed CSV (717.1MB, 42.7 million rows)
Street furniture including bollards, bicycle rails, bins, drinking fountains, horse troughs, planter boxes, seats, barbecues

The City of Melbourne owns and maintains various objects and pieces of equipment installed on streets and roads for various purposes. This dataset includes Barbeques, Bicycle Rails, Bin Corrals, Bollards, Drinking Fountains, Floral Crate/Planter Boxs, Hoops, Horse Troughs, Information Pillars, Litter Bins, Picnic Setting, Seats.
Block level energy consumption (modelled on building attributes) - 2011 baseline

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 2011 baseline. It does not include the industrial sector.
On-street Car Parking Sensor Data - 2018

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. An event will include if a vehicle was present or not which can determine stay time and vacancy time. Download: [Download] compressed CSV (504MB, 30.2 million rows)
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)
2019 Aerial Imagery

This dataset contains an aerial image mosaic of the City of Melbourne municipal area. This image provies a 'top down' view of the city and is availible for download in a georeferenced format. Capture Information - Capture Date: 2nd/3rd February 2019 - Capture Pixel Size: 5cm - Map Projection: MGA Zone 55 (MGA55) Additional technical information: ArborCarbon collected the aerial image using the ArborCam, a unique 11-band airborne multispectral camera system optimized for the accurate detection of vegetation and subtle changes in vegetation condition. ArborCarbon have created this seamless 5cm pixel resolution RGB mosaic co-registered to the 4-band image. The multispectral imagery was acquired at 8,000ft above ground level over the City of Melbourne under cloudless conditions between 09:45 and 12:45 on 2nd and 3rd February 2019. Imagery was acquired with the ArborCam system with a ground sample distance (GSD) ranging from 6 cm/pixel to 25 cm/pixel dependent on the band. Preview Image: See an example image showing the data quality of the aerial. Download: [Download] the aerial image as a ecw file (6GB)
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.
Floor space 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 floor space (in square meters) per city (CLUE) block, classified by their CLUE industry (from ANZSIC1) 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]
Landmarks and places of interest, including schools, theatres, health services, sports facilities, places of worship, galleries and museums.

This dataset contains a description and co-ordinates of places of interest within the City of Melbourne. Themes include: Community Use, Education Centre, Health Services, Leisure/Recreation, Mixed Use, Office, Place Of Assembly, Place of Worship, Purpose Built, Retail, Transport, Vacant Land Sub-themes include: Art Gallery/Museum, Church, Function/Conference/Exhibition Centre, Informal Outdoor Facility (Park/Garden/Reserve), Major Sports & Recreation Facility, Office, Public Buildings, Public Hospital, Railway Station, Retail/Office/Carpark, Tertiary (University), Theatre Live
Social Indicators for City of Melbourne Residents 2018

The City of Melbourne Social Indicators Survey (CoMSIS) was conducted for the first time in 2018. The survey collects data about the state of health, well-being, participation and connection of communities in the Melbourne Local Government Area, primarily to report on key Council Plan 2017-21 municipal outcome indicators. This new survey program replaces the previous Future Melbourne surveys and will be conducted on an annual basis. This data set provides indicator results for 1,247 residents surveyed via a mix of telephone and online interviewing. Results have been provided by suburb, gender and age groups and has been weighted according to population proportions for the Melbourne LGA. Responses such as don't know, don't understand, prefer not to say, not applicable etc. were excluded in the calculation of indicators. The sample sizes shown reflect this accordingly.
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)