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Multi-sensor dataset of environmental office room conditions

The Multi-sensor dataset of environmental conditions in smart office consists of time series data acquired from sensors deployed in smart office rooms located in ICAR-CNR, for environmental monitoring. Various sensors located in about 25 rooms were used for recording data including temperature and humidity. Raw sensor data samples were collected continuously at a frequency of 1 Hz over a period from 1 of June 2023 to 30 June 2023. The dataset can be useful in the analysis of different tasks, including data-driven algorithms for analyzing the comfort of people. In particular, the research community might be interested in investigating information extraction and decision making applied to smart offices. Furthermore, by applying artificial intelligence (AI) algorithms on such data collected over long periods, it is possible to extract, e.g., patterns that reveal environmental changes in the office living conditions.

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  • IoT_dataset_smart_officeRAR

    Multi-sensor dataset of environmental office room conditions

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Personal Data Attributes

Description: Personal Data related Information

Field Value
Anonymised No
ChildrenData No
General Data Yes
Personal Data No
Personal data was manifestly made public by the data subject No
Sensitive Data No
Additional Info
Field Value
Accessibility Virtual Access
Accessibility Mode Download
Availability On-Line
Basic rights Download
Creation Date 2023-09-14 12:40
Creator Zicari, Paolo
Dataset Citation ICAR-CNR BMSA
Dataset Re-Use Safeguards ICAR-CNR BMSA
Field/Scope of use Research only
Group Sustainable Cities for Citizens
License term 2023-09-14 12:40/2026-09-14 12:40
Manifestation Type Original
Processing Degree Primary
Retention Period 2023-09-14 12:40/2026-09-14 12:40
Semantic Coverage Environment, people
SoBigData Node SoBigData IT
SoBigData Node SoBigData EU
Sublicense rights No
Territory of use World Wide
Thematic Cluster Other
Time Coverage 2023-09-14 12:40/2026-09-14 12:40
system:type Dataset
Management Info
Field Value
Author Zicari Paolo
Maintainer Zicari Paolo
Version 1
Last Updated 23 December 2023, 13:11 (CET)
Created 30 September 2023, 12:01 (CEST)