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Brunei Darussalam rainforest temperature and light intensity data recorded in 2017

机译：文莱达鲁萨兰雨林雨林温度和光线强度数据在2017年记录

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Air temperature and light intensity in the tropical rainforest of Brunei Darussalam was recorded at a 20-min interval from 2011 to 2017. Five units of the HOBO Pendant® data loggers were attached to tree trunks within a circle of 5 m radius at 2 m above the ground. Approximately once a year, data were downloaded, and the sensors serviced. The test site is in a peat swamp forest classified as a mixed dipterocarp forest. The redundancy of the sensors allows for the assessment of the relative precision of the datasets. The root means squared error (RMSE) for the temperature is 0.37 °C, below the manufacturer's precision statement (0.53 °C). The RMSE for the light intensity data was 569.5 lux. There was no detection of systematic errors in the data. The sensors were calibrated before deployment. The data sets were captured in 2017. Ancillary data were collected in 2018, consisting of RGB orthoimagery and Light Detection And Ranging (LiDAR) data collected from an airborne platform. The data is a unique source of information on the diurnal, intraannual periodic effects, as well as random weather-related and phenology-related phenomenons. Multiannual datasets in the same ecosystem will be published in the future, allowing for a multidisciplinary analysis of the data in the context of climate change and the impact on the tropical rainforest ecosystems. The raw and auxiliary datasets are hosted in the Mendeley repository [1].
机译：在2011年至2017年的20分钟间隔内记录了文莱Darussalam的热带雨林的空气温度和光强度。HoboPendant®数据记录器的五个单位在5米半径的圆圈中附加到树干中，在上面的2米处地面。每年大约一次，下载数据，传感器服务。测试部位位于泥炭沼泽森林中，归类为混合的Dipterocarp森林。传感器的冗余允许评估数据集的相对精度。温度的根部是平方误差（RMSE）为0.37°C，低于制造商的精确陈述（0.53°C）。光强度数据的RMSE为569.5勒克斯。没有检测数据中的系统错误。在部署之前校准传感器。数据集是在2017年捕获的。辅助数据于2018年收集，由RGB正式造面和光检测和测距（LIDAR）数据组成，从空中平台收集。数据是关于昼夜跨越周期性效应的独特信息来源，以及与随机的天气相关和有效的现象。同一生态系统中的多年天数据集将于将来发布，允许在气候变化背景下对数据的多学科分析以及对热带雨林生态系统的影响。原始和辅助数据集托管在Mendeley存储库中[1]。

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