Concolis Brenna Mei M
Department of Climate Extremes and Impacts, Institute of Coastal Systems - Analysis and Modeling, Helmholtz-Zentrum Hereon, Geesthacht 21502, Germany.
Ocean and Climate Laboratory, College of Fisheries and Aquatic Sciences, Mindanao State University - General Santos, General Santos City 9500, Philippines.
Data Brief. 2025 Jul 23;62:111913. doi: 10.1016/j.dib.2025.111913. eCollection 2025 Oct.
In the absence of observation data, remotely sensed data provides an effective alternative in characterizing spatiotemporal dynamics and patterns of oceanographic data. Some of the most important variables are biomass estimates which describe the productivity of a certain area. Analyzing data with such indices is a useful tool to identify biological hotspots and shifts in concentrations that could be related to phenomenon and changes in the climate. As biomass patterns are crucial in the coastal areas, it is important to utilize data with high resolution at high frequencies (daily) to reduce the bias and capture significant changes in the coast. The E.U. Copernicus Marine Service Information provides reanalysis data of global biomass content that can be freely access by public users. However, problems accessing data could arise for users without prior knowledge of handling large data which is due to the high-resolution properties of the datasets. In addition, processing of large data can be challenging for users with technical hardware limitations. This dataset is provided to help Philippine marine researchers work with net primary productivity, micronekton, and zooplankton, even if they have technical limitations. Daily values, monthly and annual means, climatologies (daily, monthly, and long-term), and anomalies (daily, monthly, and annual) are provided in the public repository. The dataset will allow short-term and long-term analysis in the Philippine waters.
在缺乏观测数据的情况下,遥感数据为描述海洋学数据的时空动态和模式提供了一种有效的替代方法。一些最重要的变量是生物量估计值,它描述了特定区域的生产力。用此类指标分析数据是识别生物热点以及浓度变化的有用工具,这些变化可能与现象和气候变化有关。由于生物量模式在沿海地区至关重要,因此重要的是利用高频(每日)高分辨率数据来减少偏差并捕捉海岸的显著变化。欧盟哥白尼海洋服务信息提供全球生物量含量的再分析数据,公众用户可免费获取。然而,对于没有处理大数据先验知识的用户来说,可能会出现数据获取问题,这是由于数据集的高分辨率特性所致。此外,对于技术硬件有限的用户而言,处理大数据可能具有挑战性。提供此数据集是为了帮助菲律宾海洋研究人员处理净初级生产力、微型浮游动物和浮游动物,即使他们存在技术限制。公共存储库中提供了日值、月均值和年均值、气候学数据(日、月和长期)以及异常数据(日、月和年)。该数据集将允许对菲律宾海域进行短期和长期分析。