Softwares to Process Oceanographic Data in the Indonesian Seas and Surroundings

This dataset contains software used in scientific article titled "Two Centuries of Oceanographic Data in the Indonesian Seas and Surroundings: Historical Trends, Gaps, and Future Challenges". List of software: 1. QGIS 2. Ocean Data View 5.7.2 _______ About the research: Motivation: We all believe that data collection plays an important role in understanding how the ocean works and its effect on global climate. Thus, this study provides a comprehensive inventory of ocean observation in the Indonesian Seas and Surroundings, highlighting existing data, identifying gaps, and emphasizing the need for future observation. The Indonesian seas and surrounding seas are located on the equator and are the gateway for the movement of water masses from the South China Sea which depicted by orange lines and the Western Pacific which depicted by yellow lines to the Indian Ocean. In this research, nine datasets were used as a source of in-situ data at all depth in the region. These datasets utilized various instruments such as profiling float, acoustic doppler current profiler, and CTD to measure the value of various variables, such as temperature, salinity, and power of hydrogen. Many countries from all over the world such as Indonesia, France, Japan involved in these datasets. As well as University of Padjadjaran which handled the Padjadjaran Oceanographic Data Centre. After data filtering, we found that Approximately 22% of the data was filtered out during quality checks. And Some datasets, like the Rama Buoy, TOA Buoy, and NANO-DOAP, underwent no reduction during the screening process, indicating high-quality, reliable initial data. Four main findings: Findings: 1. Oceanographic data measurements in the ISS have been recorded since 1800. 2. The number of measurement points began to increase in 1901 – 1925 3. The South China Sea and the Malacca Strait have the densest point concentration of all regions 4. Measurement pattern aligns with the Indonesian Archipelagic Sea Lanes (ALKI).本数据集配套于学术论文《印尼海域及周边海域两百年海洋学数据：历史趋势、现存缺口与未来挑战》（"Two Centuries of Oceanographic Data in the Indonesian Seas and Surroundings: Historical Trends, Gaps, and Future Challenges"），收录了该论文所使用的软件。所用软件清单如下： 1. QGIS 2. Ocean Data View 5.7.2 ## 研究概况 ### 研究动机 学界普遍认为，数据收集是理解海洋运作机制及其对全球气候影响的核心支撑。本研究对印尼海域及周边海域的海洋观测数据开展系统性梳理，全面呈现现有观测资源、识别现存数据缺口，并强调未来拓展观测工作的必要性。 ### 研究区域概况 印尼海域及周边海域地处赤道区域，是南海（以橙色线条标注）与西太平洋（以黄色线条标注）水团向印度洋运移的关键通道。 ### 数据来源与观测方案 本研究共纳入9套数据集作为该区域全深度原位观测数据的核心来源。这些数据集依托剖面浮标、声学多普勒流速剖面仪、温盐深仪（CTD）等多种观测仪器，对海水温度、盐度、pH值（氢离子活度）等多项海洋环境参数进行采集。参与本研究数据集建设的主体涵盖全球多个国家，包括印度尼西亚、法国、日本等，同时帕贾贾兰大学（University of Padjadjaran）依托其下属的帕贾贾兰海洋数据中心参与了相关工作。 ### 数据质控与筛选结果 经质量检查与数据筛选后，约22%的观测数据被剔除。其中Rama浮标、TOA浮标与NANO-DOAP等数据集在筛查过程中未进行任何数据剔除，印证了其初始数据具备较高的质量与可靠性。 ### 核心研究结论 本研究得到四项核心发现： 1. 印尼海域及周边海域的海洋学观测记录最早可追溯至1800年； 2. 观测点位数量在1901年至1925年间开始呈现显著增长趋势； 3. 南海与马六甲海峡是所有研究区域中观测点位密度最高的区域； 4. 观测布局与印尼群岛海上航道（Indonesian Archipelagic Sea Lanes, ALKI）高度契合。