High-resolution bathymetric survey dataset of Yesik Lake, Kazakhstan: New insights into the morphology of the mountain water body

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-03-26 DOI:10.1016/j.dib.2025.111504

Kanat Samarkhanov , Nurlybek Zinabdin , Damir Amantayev , Arman Kabdeshev , Murat Muzdybaev , Aigerim Amantai , Kairat Abdrakhmanov , Aigerim Nurmagambetova , Alua Zhukenova , Aliya Kaisanova

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引用次数: 0

Abstract

This dataset provides high-resolution bathymetric data for Yesik Lake, in southeast Kazakhstan's Tien Shan Mountain range. A bathymetric survey was undertaken from September 9 to 12, 2024, using a Lowrance ELITE Ti 9 multibeam sonar placed on a small vessel.

The dataset comprises a digital elevation model (DEM) of the lakebed with a resolution of 1 meter, together with supplementary metadata.

The supplied data facilitates comprehensive mapping of the lake's underwater topography, encompassing details on the substrate's depths, gradients, and morphological characteristics. This dataset applies to diverse research in limnology, hydrology, geomorphology, and the ecology of alpine water bodies.

The data provides a crucial basis for examining sedimentation processes, evaluating water resources, and modeling the ecosystem of Yesik Lake.

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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.