North Pacific Tritium (1952-2024)
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To comprehensively investigate the spatiotemporal distribution characteristics of tritium in the North Pacific Ocean, we compiled an extensive dataset comprising approximately 708,000 seawater tritium measurements from multiple authoritative sources. These include the Global Ocean Data Analysis Project (GLODAP, 2019), Data Publisher for Earth & Environmental Science (PANGAEA) (OMS, 2018), Clivar and Carbon Hydrographic Data Office (CCHDO, 2024), IAEA MARIS (IAEA, 2024), Ocean Data View (Jenkins et al., 2019), and the Overarching Radiation-monitoring Data Browsing System in the Coastal Ocean of Japan (ORBS) (TEPCO, 2024a). Furthermore, we supplemented this dataset with approximately 8,600 tritium measurements extracted from 11 peer-reviewed publications (Kaizer et al., 2020; Kim et al., 1997; Watanabe et al., 1991; Ohtsuki et al., 2023; Shozugawa et al., 2016; Povinec et al., 2017; Blaauea, 1977; Jenkins et al., 2023; Ueda et al., 2005; Landa et al., 1999; Kondo et al., 2004). The data processing and quality control procedures were implemented through a systematic three-stage approach. Initially, we screened and selected valid tritium measurements based on non-negative activity concentrations within the geographical boundaries of the North Pacific Ocean. Subsequently, we standardized the dataset with respect to temporal and spatial parameters, including sampling time, latitude, longitude, depth, and tritium concentration. Specifically, seawater pressure measurements were converted to depth values, and all tritium concentration units were standardized to Bq/m³. Finally, we applied rigorous screening criteria based on five key parameters: sampling time, geographical coordinates (longitude and latitude), station location, and tritium concentration. Measurements were considered duplicates and subsequently removed if all these parameters were identical. Following this comprehensive data processing protocol, we obtained a refined dataset containing 24,118 validated tritium measurements spanning from 1952 to 2024. It is important to note that all tritium concentrations in this dataset represent the measured activity at the time of sampling, without any decay correction applied. This approach ensures the preservation of original measurement integrity while providing a robust foundation for spatiotemporal analysis of tritium distribution patterns in the North Pacific Ocean.
为全面探究北太平洋海域氚的时空分布特征，我们整合了一套涵盖约70.8万条海水氚活度检测数据的大型数据集，数据来源于多个权威渠道，包括全球海洋数据分析计划（Global Ocean Data Analysis Project, GLODAP，2019）、地球与环境科学数据出版平台（Data Publisher for Earth & Environmental Science, PANGAEA，2018）、气候与碳水文数据办公室（Clivar and Carbon Hydrographic Data Office, CCHDO，2024）、国际原子能机构海洋放射性同位素数据库（IAEA MARIS, IAEA，2024）、海洋数据查看工具（Ocean Data View, Jenkins等，2019）以及日本沿岸海域辐射监测总数据浏览系统（Overarching Radiation-monitoring Data Browsing System in the Coastal Ocean of Japan, ORBS, TEPCO，2024a）。此外，我们还从11篇同行评议期刊论文中提取约8600条氚检测数据补充至本数据集，涉及文献包括Kaizer等（2020）、Kim等（1997）、Watanabe等（1991）、Ohtsuki等（2023）、Shozugawa等（2016）、Povinec等（2017）、Blaauea（1977）、Jenkins等（2023）、Ueda等（2005）、Landa等（1999）及Kondo等（2004）。 本数据集的数据处理与质量控制流程采用系统性三阶段方案。首先，基于北太平洋地理边界内的非负活度浓度标准，筛选并选取有效氚检测数据；随后，对数据集的时空参数进行标准化处理，涵盖采样时间、纬度、经度、水深及氚浓度，具体包括将海水压力测量值转换为水深数据，并将所有氚浓度单位统一标准化为贝可每立方米（Bq/m³）；最后，基于采样时间、地理坐标（经度与纬度）、测站位置及氚浓度五项关键参数实施严格筛选，若所有上述参数完全一致，则判定为重复数据并予以剔除。 经过这套完整的数据处理流程，我们最终得到一套经过验证的精制数据集，包含24118条氚检测数据，时间跨度为1952年至2024年。需要说明的是，本数据集内的所有氚浓度均为采样时的实测活度值，未进行任何衰变校正。这一处理方式既保留了原始检测数据的完整性，也为北太平洋海域氚分布模式的时空分析提供了坚实的研究基础。
