Dataset on the variability of the light field in coastal waters

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2024-09-12 DOI:10.1016/j.dib.2024.110923

Stella Patricia Betancur-Turizo , Adan Mejia-Trejo , Yerinelys Santos-Barrera , Tatiana Marin-Amado , Erica Paola Zapata-Valezuela , Joaquín Pablo Rivero-Hernández , Rosana del Pilar Adames-Prada

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引用次数: 0

Abstract

The authors present data on both inherent and apparent optical properties, CTD profiles for the southwestern area of the Bay of Cartagena (Colombia) along a transect of seven stations. The data were collected during the dry and wet seasons of 2022. Optical properties include the depth of the Secchi disk as well as the absorption coefficients of particulate organic matter (ap) and chromophoric dissolved organic matter (aCDOM), together with analyses of total suspended solids (TSS) and turbidity in terms of nephelometric units (NTU). The dataset encompasses several types of data files on the light field in water, which is suitable for the development of water quality indices, the study of optically complex systems occupied by strategic marine ecosystems, the input of the calibration and validation processes of satellite algorithms as well as coastal zone management and administration.

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沿岸水域光场变化数据集

作者介绍了卡塔赫纳湾（哥伦比亚）西南部地区沿七个站点横断面的固有光学特性和表观光学特性、CTD剖面数据。这些数据是在 2022 年的旱季和雨季收集的。光学特性包括塞奇盘深度、颗粒有机物（ap）和色度溶解有机物（aCDOM）的吸收系数，以及总悬浮固体（TSS）和浊度（NTU）的分析。该数据集包括多种类型的水中光场数据文件，适用于制定水质指数、研究战略性海洋生态系统所占据的光学复杂系统、卫星算法的校准和验证过程输入以及沿海地区的管理和行政。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.