Smart Campus Oulu indoor climate, air-quality and motion
Beskrivning
Please always refer to up-to-date documentation of this release, available at https://smartcampus.oulu.fi/open-data
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Indoor air-quality, presence and light measurements from the University of Oulu Linnanmaa-campus. Collected by wireless low-power sensors connected to the 5GTN LoRa-network.
The dataset begins on 1.7.2020, this initial release containing data until 1.6.2021. Later the set may be appended as new data is released.
## Quantities
The following indoor environment and air-quality measurements are collected:
- Air temperature [°C]
- Relative humidity [% RH]
- Light (linear index)
- Passive infrared (linear index, pir)
- CO2 [ppm]
- Battery voltage [V]
- Average SPL [dB]
- Peak SPL[dB]
- Soil moisture [%]
- Atmospheric pressure [bar]
- Acceleration (X, Y, Z) [g]
## Map of deployment
An overview of the sensor deployment is available at https://smartcampus.oulu.fi/manage
## README
Short introduction to the dataset is included with the data itself in `README.md`. Please always refer to up-to-date documentation of this release, available at https://smartcampus.oulu.fi/open-data
## .csv-tables
The data is split into two tables, 'application' and 'lora', the former containing a numeric representation the physical quantities under measurement, and the latter containing values exposed by the LoRa-gateway, including metrics such as signal strength.
The time format of the 'time'-column is epoch milliseconds.
## Sensor metadata
devices.json contains sensor metadata, such geolocation and description of installation location. The jsonlines-format is used.
## Issue: missing .csv headers
*Affecting*: release-2021062800 *Fixed by*: release-2021062801
On 22.3.2022 it was brought to our attention that the initial release is missing .csv headers. A fix was implemented by releasing this data again, now including the expected headers.
Visa merPubliceringsår
2021
Typ av data
Upphovspersoner
Uleåborgs universitet - Utgivare, Upphovsperson
Aleksi Pirttimaa - Kurator
Hassan Mehmood - Kurator
Projekt
Övriga uppgifter
Vetenskapsområden
Data- och informationsvetenskap; El-, automations- och telekommunikationsteknik, elektronik
Språk
Öppen tillgång
Öppet