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Environment
Dataset
This dataset contains the 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.
Tags climate environment air quality sensor environmental monitoring and 8 more
API Docs
Created
June 17 2020
Views
2,509

Environment
Dataset
This dataset contains environmental readings from microclimate sensors located across the city. The data is 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:
Tags sensor microclimate environment air quality environmental monitoring and 6 more
API Docs
Created
June 10 2020
Views
6,140

Environment
Dataset
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.
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.
Tags soil sensor moisture salinity temperature and 1 more
API Docs
Created
April 1 2020
Views
865

Environment
Dataset
This dataset contains the locations of where soil sensors have been deployed across the city. The readings are stored in the soil sensor readings dataset. The sensors take a variety of readings such as salinity, temperature and moisture. The units and readings are included within the readings dataset. The dataset joins to the soil sensor readings dataset by matching the site_id column.
Tags soil moisture sensor iot sensors and 1 more
API Docs
Created
March 26 2020
Views
454

Transport
Dataset
This dataset show the historical Melbourne Bike Share docks. This program came to an end in Novemer 2019.
Contains the bike share dock locations that were deployed across Melbourne as part of the Melbourne Bike Share Program.
Melbourne Bike Share is a joint RACV/Victorian Government bicycle hire scheme. It allows commuters to hire a bike from a dock location and return it to another dock location in the city. This dataset contains the bike share dock locations and capacity across the city.
This dataset can be joined to the bike share data feed using the column station_id.
Tags bicycle bike bike share entrepreneur sensor and 5 more
API Docs
Created
October 15 2018
Views
2,164

Transport
Dataset
Upcoming Changes: Please note that our parking system is being improved and this dataset may be disrupted. See more information here.
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 street marker id.
Accessing the most current data:
To access the most recent data please use the v2.0 SODA API endpoint
or the CSV download link. Accessing the data from Socrata's v2.1 SODA API will access cached data which is only updated hourly.
Additional information:
Further information about City of Melbourne's parking sensors can be found here.
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 restrictions.
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 information by the bay_id attribute. The on-street parking bays and the on-street car park bay information don’t currently join.
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 in the catalogue API JSON endpoint 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 sensor and 5 more
API Docs
Created
August 10 2017
Views
42,230