Hawkesbury-Nepean River Phytoplankton and Water Quality Data (2006 - 2018)

This dataset package provides long-term monitoring data of phytoplankton communities and water quality from the Hawkesbury-Nepean River, Sydney, Australia. Collected and analysed by the Sydney Water Corporation (SWC) as part of an ongoing ecological monitoring program, the data cover 13 sites along the river over a 13-year period (2006–2018). The phytoplankton dataset captures spatial and temporal variations in community composition, enabling analysis of distribution patterns and responses to environmental change. Each record (row) in the dataset includes the calendar date of sampling, phytoplankton genus/species name, associated taxonomic group, site code, and quantitative measures of cell abundance (cells/mL) and biovolume (mm³/L). The data are provided in a CSV (comma-separated values) format with file name: Data_HN_Phytoplankton_SWC_13_3_2025.csv The water quality dataset provides key physicochemical parameters essential for river management. The measured variables are total phosphorus (TP, mg/L), total nitrogen (TN, mg/L), salinity (SAL, psu), temperature (TEMP, °C), ammonium (AMM, mg/L), nitrate (NIT, mg/L), phosphate (FRP, mg/L), silica (SIL, mg/L), turbidity (TURBIDITY, NTU), and total chlorophyll-a (CHLA, μg/L). Each record (row) in the dataset includes the date of sampling, concentration of the water quality variables, and site code. The data are provided in a CSV (comma-separated values) format with file name: Data_HN_water_quality_SWC_13_3_2025.csv This water phytoplankton and quality dataset serves as the input for the data-driven framework used in the manuscript titled “Phytoplankton group classification by integrating trait information and observed environmental thresholds”. The analysis code and additional data supporting the framework are available via the DOI links provided in the manuscript (https://github.com/AquaticEcoDynamics/trait-threshold-phyto.git). See Instruction.docx for guidance on applying the classification framework to these datasets. The datasets can be made available upon request, via the “Request access” on this page. If users agree with the conditions, please sign the "data sharing agreement form" then send the signed form to Manuscript author ([e-mail]). The form can be downloaded via this link: https://github.com/VuongHoangDang/Data_sharing_agreement.git Data files will be provided once the agreement is acknowledged.