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Data · dataset · 2026

Long-term Dataset of Water Physicochemical Monitoring in Lake Fuxian, China (2017–2025)

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This dataset compiles the long-term physicochemical monitoring data of Lake Fuxian collected by the Lake Fuxian Ecological Research Station, Chinese Academy of Sciences, from 2017 to 2025.

Description

Five fixed monitoring stations (FS1–FS5) were arranged along the north–south spatial gradient of the lake, with multi-layer vertical sampling conducted at the deep northern site (FS1) and the representative southern site (FS5).

Sampling was carried out in January, April, July, and October each year. The dataset includes 12 physicochemical parameters: total nitrogen (TN), dissolved total nitrogen (DTN), ammonium nitrogen (NH3-N), nitrate nitrogen (NO3⁻-N), nitrite nitrogen (NO2⁻-N), total phosphorus (TP), dissolved total phosphorus (DTP),orthophosphate (PO4-P), total organic carbon (TOC), dissolved organic carbon (DOC), chlorophyll a (Chl-a), and permanganate index (CODMn), providing continuous observations of surface water and vertical profiles.

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The dataset is stored in Excel format and includes surface water samples as well as vertical profiles from the two representative stations, enabling the characterization of seasonal and depth-dependent physicochemical variations in Lake Fuxian. All sampling and analytical procedures were conducted following standardized protocols, with quality control ensured through blanks, standard curves, duplicates, and spike recovery tests.

This dataset provides valuable long-term observational data for investigating spatiotemporal variations in key physicochemical parameters of deepwater lakes under thermal stratification.

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Provenance · 1 source records, 10 field assertions
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ScienceDB10.57760/sciencedb.j00001.001ja11 d agoJSON v1
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concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
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