A Dataset for Research on Water Sustainability
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Abstract (arXiv)
Freshwater scarcity is a global problem that requires collective efforts across all industry sectors. Nevertheless, a lack of access to operational water footprint data bars many applications from exploring optimization opportunities hidden within the temporal and spatial variations. To break this barrier into research in water sustainability, we build a dataset for operation direct water usage in the cooling systems and indirect water embedded in electricity generation. Our dataset consists of the hourly water efficiency of major U.S. cities and states from 2019 to 2023. We also offer cooling system models that capture the impact of weather on water efficiency. We present a preliminary analysis of our dataset and discuss three potential applications that can benefit from it. Our dataset is publicly available at Open Science Framework (OSF)
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 0 of its 23 references that are in the map. First posted on arXiv 24 May 2024.
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Citing papers per year: 2024: 1; 2025: 1; 2026: 2.
4 papers.
- 2025Not All Water Consumption Is Equal: A Water Stress Weighted Metric for Sustainable Computingcited by 4
- 2024A Water Efficiency Dataset for African Data Centerscited by 1
- 2026BIRDS: Characterizing and Understanding Biodiversity Impact of Large Language Model Servingcited by 1
- 2026Beyond Energy: When Sustainability Dimensions Reshape LLM Serving Decisionscited by 0
- 2026Beyond Energy: When Sustainability Dimensions Reshape LLM Serving Decisions28 Sep 2026
- 2026BIRDS: Characterizing and Understanding Biodiversity Impact of Large Language Model Serving26 May 2026
- 2025Not All Water Consumption Is Equal: A Water Stress Weighted Metric for Sustainable Computing28 Jun 2025
- 2024A Water Efficiency Dataset for African Data Centers4 Dec 2024