%0 Generic
%A milli, mehmet
%A MİLLİ, Musa
%A Aktaş, Özlem
%A Lakastani, Sanaz
%D 2021
%T Ontological data set consisting of indoor environment parameters collected in the laboratories
%U https://data.4tu.nl/articles/dataset/Ontological_data_set_consisting_of_indoor_environment_parameters_collected_in_the_laboratories/14805960/1
%R 10.4121/14805960.v1
%K sensor data collection
%K Ontological Dataset
%K Indoor Air Quality Parameters
%K Laboratory Environments
%K sensor web enablement (SWE)
%K semantic sensor network (SSN)
%K sensor observation sample and actuator (SOSA)
%X <p></p><p>Laboratories,
which are an indispensable part of modern life, have become indispensable
elements of both public areas such as schools and hospitals and R&D
departments of private companies. However, especially in the analyzes and
studies carried out in chemistry, biology and environmental laboratories are
prone to accidents because the environmental parameters cannot be monitored
instantly, cannot be kept under control or necessary preventive measures cannot
be taken on time. For this reason, there have been numerous serious accidents
with death and injury until today in laboratory environments. As a result of
not taking the necessary precautions, there is a possibility of many accidents
in the future. All of this shows the fact that monitor and control
environmental parameters are vital in order to reduce accident rates in
laboratory environments. In this study, a data set was created in order to
prevent possible security vulnerabilities in laboratory environments and to
ensure that the necessary action plans are put into action on time. This data
set contains instantaneous values of some laboratory indoor parameters. These
indoor parameters can reach dangerous levels from time to time, depending on
the number of analyze done, the number of people in the environment, and the
temperature and amount of various gases that emerge as a result of the
analyses. These parameters include some physical, chemical, and biological
values in the environment such as temperature, humidity, carbon dioxide, total
volatile organic substances, carbon monoxide, particulate matter 2.5,
particulate matter 10, light level. These data were collected in the most
frequently used MaldiTof, AoxMercury, and Chromotography laboratories in Bolu
Abant İzzet Baysal University Scientific Industrial Technological Application
and Research Center. Data collection started on 28.08.2019 and ended on 12.10.2019.
The hourly average of each parameter was recorded in the database in order to
avoid unnecessary repetitions in the data set. A total of 8 sensor nodes and 20
sensors were used in the creation of this data set.</p><br><p></p>
%I 4TU.ResearchData