IoT sensors measurements of CO2 concentration on Irish peatland sites

The paucity of data has long hindered the accurate modeling of CO2 concentrations within peatland regions, despite their significance as carbon reservoirs. Peatlands naturally sequester substantial carbon underground, yet disturbances, whether due to climate change or land use shifts, can trigger the release of significant amounts of carbon and other greenhouse gases, thereby disrupting the atmosphere and impacting human lives. The lack of comprehensive data has rendered it challenging to thoroughly assess the peatland regions' contribution to the net ecosystem carbon budget (NECB). To address this gap, we present a curated dataset comprising CO2 measurements obtained through IoT sensors deployed in conjunction with sophisticated instrumentation, namely eddy covariance flux towers (EC-flux towers). These towers gauge the exchange of carbon and other greenhouse gases with the atmosphere. The dataset, collected across various sensors and spanning from January 2020 to December 2021, offers a valuable resource for investigating the reliability of IoT sensors in monitoring CO2 fluxes. Moreover, the data enables the calibration of IoT sensors through modelling and training using reference monitors, facilitating more accurate and precise measurements. 

长期以来，数据匮乏一直阻碍着泥炭地（peatland）区域二氧化碳浓度的精准建模，尽管泥炭地作为碳库（carbon reservoirs）意义重大。泥炭地可自然地下封存大量碳，但无论是气候变化还是土地利用转变引发的干扰，都可能促使其释放大量碳及其他温室气体，进而破坏大气环境并影响人类生活。全面数据的缺失使得精准评估泥炭地区域对生态系统净碳收支（net ecosystem carbon budget，NECB）的贡献颇具挑战。为填补这一研究空白，本研究发布了一套经过精心整理的数据集，该数据集包含通过物联网（IoT）传感器与精密仪器（即涡度协方差通量塔（eddy covariance flux towers，EC-flux towers））协同部署获取的二氧化碳测量数据。此类通量塔可测量碳及其他温室气体与大气之间的交换过程。该数据集由多类传感器采集，采集时段为2020年1月至2021年12月，可为探究物联网（IoT）传感器在二氧化碳通量监测中的可靠性提供宝贵的研究资源。此外，该数据集可借助参考监测仪器开展建模与训练，从而实现物联网（IoT）传感器的校准，助力获得更为精准可靠的测量结果。