Darling Baaka River Health Project data 2023-2025

This dataset contains raw biological, water quality, and riparian vegetation data collected as part of the Darling Baaka River Health Project (DBRHP) between 2023 and 2025. The data was collected across multiple sites to assess river health and inform environmental management and recovery efforts following major flood events.\r\n \r\nThe four Excel files include:\r\nBiological Raw Data: macroinvertebrate, zooplankton, and fish survey data.\r\nWater Quality Raw Data: physicochemical parameters, nutrients, metals, pesticides.\r\nRiparian Vegetation Raw Data: field-based assessments of riparian condition, species composition, and groundcover.\r\nPassive sampler raw data: pesticide passive sampler data.\r\n \r\nThe dataset underpins the assessment of the health of the lower Darling Baaka River using the River Condition Index framework. Further information about field data collection and data analysis methods, and analysis of findings can be found at DCCEEW (2025) Darling Baaka River Health Project 2023 to 2025, Department of Climate Change, Energy, the Environment and Water.

本数据集包含2023至2025年间，作为达令巴卡河健康项目（Darling Baaka River Health Project，DBRHP）的组成部分所采集的原始生物、水质及河岸带植被数据。数据覆盖多个监测点位，用于评估河流健康状况，为大型洪水事件后的环境管理与生态修复工作提供决策依据。

本次公开的四个Excel文件包含如下内容：
- 生物原始数据：大型底栖无脊椎动物、浮游动物及鱼类调查数据；
- 水质原始数据：理化参数、营养盐、重金属及农药类物质检测数据；
- 河岸带植被原始数据：基于野外实地调查的河岸带健康状况、物种组成及地表覆盖评估数据；
- 被动采样器原始数据：农药类物质被动采样检测数据。

本数据集为采用河流健康指数（River Condition Index）框架开展的达令巴卡河下游健康评估工作提供核心支撑。有关野外数据采集方法、数据分析流程及研究结果解析的详细资料，可查阅由气候变化、能源、环境与水利部（Department of Climate Change, Energy, the Environment and Water，DCCEEW）于2025年发布的《达令巴卡河健康项目2023-2025年度报告》。