[Database] Urban Water Consumption at Multiple Spatial and Temporal Scales. A Review of Existing Datasets

This file contains the complete catalog of datasets and publications reviewed in: Di Mauro A., Cominola A., Castelletti A., Di Nardo A.. Urban Water Consumption at Multiple Spatial and Temporal Scales. A Review of Existing Datasets. Water 2021.The complete catalog contains:

92 state-of-the-art water demand datasets identified at the district, household, and end use scales;

120 related peer-reviewed publications;

57 additional datasets with electricity demand data at the end use and household scales.

The following metadata are reported, for each dataset:

Authors

Year

Location

Dataset Size

Time Series Length

Time Sampling Resolution

Access Policy.

The following metadata are reported, for each publication:

Authors

Year

Journal

Title

Spatial Scale

Type of Study: Survey (S) / Dataset (D)

Domain: Water (W)/Electricity (E)

Time Sampling Resolution

Access Policy

Dataset Size

Time Series Length

Location

Authors:
Anna Di Mauro - Department of Engineering | Università degli studi della Campania Luigi Vanvitelli (Italy) |  [e-mail];
Andrea Cominola - Chair of Smart Water Networks | Technische Universität Berlin - Einstein Center Digital Future (Germany) |  [e-mail]; 
Andrea Castelletti - Department of Electronics, Information and Bioengineering | Politecnico di Milano (Italy) | [e-mail]
Armando Di Nardo -Department of Engineering | Università degli studi della Campania Luigi Vanvitelli (Italy) |   [e-mail]

Citation and reference:

If you use this database, please consider citing our paper 

Di Mauro, A., Cominola, A., Castelletti, A., & Di Nardo, A. (2021). Urban Water Consumption at Multiple Spatial and Temporal Scales. A Review of Existing Datasets. Water, 13(1), 36, https://doi.org/10.3390/w13010036

Updates and Contributions:

The catalogue stored in this public repository can be collaboratively updated as more datasets become available. The authors will periodically update it to a new version. 

New requests can be submitted to the authors, so that the dataset collection can be improved by different contributors. Contributors will be cited, step by step, in the updated versions of the dataset catalogue.

Updates history:

March 1st, 2021 - Pacheco, C.J.B., Horsburgh, J.S., Tracy, J.R. (Utah State University, Logan, UT - USA) --- The dataset associated with paper Bastidas Pacheco, C.J.; Horsburgh, J.S.; Tracy, R.J.. A Low-Cost, Open Source Monitoring System for Collecting High Temporal Resolution Water Use Data on Magnetically Driven Residential Water Meters. Sensors 2020, 20, 3655. is published in the HydroShare repository, where it is available as an OPEN dataset. Data can be found here: https://doi.org/10.4211/hs.4de42db6485f47b290bd9e17b017bb51