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Gridded global dataset of industrial water use predicted using Random Forest

Global gridded industrial water use at 0.5° resolution (2000-2015) predicted using Random Forest with socioeconomic, climatic, and geographical predictors.

doi.org

At a glance

Region
Global
Coverage
Global
Access
Free
Category
Research
Last updated
2024

What's inside

  • Water Use
  • Machine Learning

What you can do with it

Typical work that data of this type supports.

  1. 01

    Baselines

    Set a baseline for a project, report or proposal.

  2. 02

    Combine sources

    Join it with other datasets for a fuller picture.

  3. 03

    Teaching

    Use it in classes and student projects.

Where AI adds value

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

  1. 01

    Ask in plain language

    Query it through a chat assistant instead of writing code.

  2. 02

    Automatic QC

    Find errors and gaps automatically.

  3. 03

    Find related data

    Let AI suggest datasets that fill the gaps.

Machine access and documentation

Data paper

Gridded global dataset of industrial water use predicted using Random Forest

Scientific Data 2024

Read the paper

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