Net Community Production (NCP), photosynthesis, and respiration measured in Georgia estuaries using two complementary methods@en

This dataset comprises measurements of Net Community Production (NCP), photosynthesis, and respiration collected in Georgia estuaries using two complementary methods: in situ samples with the PIGI (Pressure of In-situ Gas Instrument) system and 24-hour bottle incubations. The purpose of the dataset is to understand how the PIGI system functions in estuarine environments where its assumptions are more challenging to meet. The PIGI dataset includes continuous dissolved oxygen and associated physical parameters (temperature, salinity, etc.) collected from a floating dock on the Wilmington River (31.9624°N 81.0122°W). Data collection occurred in June, September and December of 2024. The has a temporal resolution of 10 seconds. NCP was calculated following Izett and Tortell (2020), from in situ oxygen and nitrogen gas data supporting meteorological measurements. Minor updated to the above-mentioned method are explained in the related manuscript. Data are provided in tabular format and include time, latitude, longitude, depth, and derived fluxes. The bottle incubation dataset consists of discrete measurements collected daily over the same time frame as the PIGI dataset. Surface water (1 m depth) was incubated in triplicate light and dark bottles over 24-hour periods to estimate respiration, photosynthesis, and NCP. Parameters are reported in units of mmol O₂ m⁻² d⁻¹, with associated standard deviations. These incubations were done to provide a comparison with the PIGI system. The datasets are suitable for regional biogeochemical modeling, productivity assessments, and algorithm training. Limitations may include tidal and diel variability for incubation results, and potential advection effects on in situ measurements.本数据集涵盖佐治亚州河口采用两种互补方法获取的群落净生产量（Net Community Production，简称NCP）、光合作用与呼吸作用实测数据：基于PIGI（Pressure of In-situ Gas Instrument，原位气体压力仪）系统的原位样本法，以及24小时瓶培养法。本数据集旨在探究PIGI系统在其应用假设更难满足的河口环境中的运行表现。PIGI数据集包含从威尔明顿河（31.9624°N 81.0122°W）浮动码头采集的连续溶解氧及相关物理参数（温度、盐度等）数据；数据采集于2024年6月、9月及12月，时间分辨率为10秒。NCP的计算遵循Izett与Tortell（2020）提出的方法，基于原位氧和氮气数据并结合气象测量结果；上述方法的小幅更新已在相关研究手稿中详细说明。数据以表格格式提供，包含时间、纬度、经度、深度及衍生通量等字段。瓶培养数据集包含与PIGI数据集同期每日采集的离散实测数据。在24小时培养周期内，对1米深度的表层海水设置三份平行的光照与黑暗培养瓶，以估算呼吸作用、光合作用及群落净生产量。所有参数以mmol O₂ m⁻² d⁻¹为单位报告，并附带对应的标准偏差。开展该瓶培养实验的目的是与PIGI系统的实测数据进行对比验证。本数据集可应用于区域生物地球化学建模、生产力评估及算法训练等场景。数据集存在一定局限性：培养结果易受潮汐与昼夜节律变化的影响，而原位实测数据则可能受到平流效应的干扰。