Ontological data set consisting of indoor environment parameters collected in the laboratories

Laboratories, which are an indispensable part of modern life, have become indispensable elements of both public areas such as schools and hospitals and R&amp;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.<br>

实验室是现代社会不可或缺的组成部分，现已广泛应用于学校、医院等公共场所以及私营企业的研发部门，成为上述场景的核心组成元素。然而，化学、生物与环境类实验室开展的分析与研究工作，常因无法实时监测环境参数、难以实施有效管控，或未能及时采取必要的预防措施，而易引发安全事故。截至目前，实验室环境中已发生多起造成人员伤亡的严重安全事故；若未落实必要的防护措施，未来仍存在发生大量同类事故的风险。上述种种均表明，实时监测与管控环境参数，对降低实验室环境的事故发生率至关重要。
本研究为防范实验室环境中的潜在安全隐患、确保及时启动必要的应急处置方案，构建了专用数据集。该数据集收录了实验室室内部分环境参数的实时监测数值。上述室内环境参数的危险阈值会随分析作业频次、现场人员数量，以及分析过程中产生的温度与各类气体含量的变化而波动，偶有突破安全限值的情况。这些参数涵盖了环境中的多项物理、化学与生物指标，具体包括温度（Temperature）、湿度（Humidity）、二氧化碳（Carbon Dioxide）、总挥发性有机物质（Total Volatile Organic Substances）、一氧化碳（Carbon Monoxide）、细颗粒物2.5（Particulate Matter 2.5）、可吸入颗粒物10（Particulate Matter 10）以及光照强度（Light Level）。
本数据集采集自博卢阿班特·伊泽特·贝萨尔大学（Bolu Abant İzzet Baysal University）科学工业技术应用与研究中心内使用率最高的MaldiTof、AoxMercury及Chromotography三类实验室。数据采集工作始于2019年8月28日，至2019年10月12日结束。为消除数据集内的冗余重复数据，本研究将各参数的每小时均值录入数据库。本数据集的构建共使用了8个传感器节点与20个传感器设备。