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FreeResearchIran, Middle East

A Comprehensive Water Chemistry Dataset for Iranian Rivers (open-access data paper)

Open-access Scientific Data paper (2025) describing a water-chemistry dataset for Iranian rivers covering 1964-2020: 5,968,568 records from 1,591 monitoring stations, with 14 chemical compounds (TDS, pH, EC, major ions, nitrate) and 11 water-quality indices. The PMC landing page documents the dataset structure and links to the data record.

pmc.ncbi.nlm.nih.gov

At a glance

Region
Iran (Middle East)
Coverage
National
Access
Free
Category
Research
Last updated
2025

What's inside

  • River water quality
  • Hydrochemistry
  • Water quality indices

What you can do with it

Typical work that data of this type supports.

  1. 01

    Hotspots and trends

    Find where contamination is high and whether it is getting worse.

    Because it has: River water quality

  2. 02

    Compliance checks

    Compare samples against drinking water and discharge standards.

  3. 03

    Sampling plans

    Decide where to sample and treat first.

Where AI adds value

Ideas for machine learning and AI agents built on this kind of data.

  1. 01

    Risk maps

    Predict contamination where no samples exist, from geology, land use and climate.

  2. 02

    Anomaly alerts

    Catch sudden spikes in sensor or lab data automatically.

  3. 03

    From satellite

    Estimate turbidity and chlorophyll in lakes and rivers from imagery.

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