Smart Campus Oulu indoor climate, air-quality and motion

Description

Please always refer to up-to-date documentation of this release, available at https://smartcampus.oulu.fi/open-data --- 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.
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Year of publication

2021

Type of data

Authors

CWC - Verkot ja järjestelmät - Publisher, Creator

Aleksi Pirttimaa - Curator

Hassan Mehmood - Curator

Project

Other information

Fields of science

Computer and information sciences; Electronic, automation and communications engineering, electronics

Language

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

Indoor air-quality, LoRaWAN, Low power wireless networks, Temperature

Subject headings

indoor air, indoor climate, indoor environment, indoor lighting, Internet of things, measuring instruments (devices), sensor networks, wireless communication

Temporal coverage

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