Quantitative datasets of societal value, technology and policy for human-water system modelling
Quantitative datasets capturing societal values, technology adoption, and water policy variables for coupled human-water system modeling and integrated water resources management.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2025
What's inside
- Water Use
What you can do with it
Typical work that data of this type supports.
- 01
Baselines
Set a baseline for a project, report or proposal.
- 02
Combine sources
Join it with other datasets for a fuller picture.
- 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.
- 01
Ask in plain language
Query it through a chat assistant instead of writing code.
- 02
Automatic QC
Find errors and gaps automatically.
- 03
Find related data
Let AI suggest datasets that fill the gaps.
Machine access and documentation
Data paper
Quantitative datasets of societal value, technology and policy for human-water system modelling
Scientific Data 2025
Read the paperRelated water data
- Global monthly sectoral water use for 2010-2100 at 0.5° resolution across alternative futuresGlobal | Free
- GMIE: Global maximum irrigation extent and central pivot irrigation datasetGlobal | Free
- Gridded global dataset of industrial water use predicted using Random ForestGlobal | Free
- OECD Water DatabaseGlobal | Free
- Reconstructed Global Gridded Monthly Sectoral Water Withdrawals (incl. irrigation)Global | Free
- Total irrigation by crop in the Continental United States from 2008 to 2020Global | Free
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