Supporting data and tools for "An open source cyberinfrastructure for collecting, processing, storing and accessing high temporal resolution residential water use data"
| Authors: | |
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| Owners: | Camilo J. Bastidas PachecoJeffery S. Horsburgh |
| Type: | Resource |
| Storage: | The size of this resource is 20.8 MB |
| Created: | Jan 25, 2021 at 4:16 p.m. |
| Last updated: | Apr 17, 2023 at 3:33 p.m. (Metadata update) |
| Published date: | Jul 19, 2021 at 12:57 a.m. |
| DOI: | 10.4211/hs.aaa7246437144f2390411ef9f2f4ebd0 |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 2081 |
| Downloads: | 57 |
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Abstract
The files provided here are the supporting data and code files for the analyses presented in "An open source cyberinfrastructure for collecting, processing, storing and accessing high temporal resolution residential water use data," an article in Environmental Modelling and Software (https://doi.org/10.1016/j.envsoft.2021.105137) The data included in this resource were processed using the Cyberinfrastructure for Intelligent Water Supply (CIWS) (https://github.com/UCHIC/CIWS-Server) and collected using the CIWS-Node (https://github.com/UCHIC/CIWS-WM-Node) data logging device. CIWS is an open-source, modular, generalized architecture designed to automate the process from data collection to analysis and presentation of high temporal residential water use data. The CIWS-Node is a low cost device capable of collecting this type of data on magnetically driven water meters. The code included allows replication of the analyses presented in the journal paper, and the raw data included allow for extension of the analyses conducted. The journal paper presents the architecture design and a prototype implementation for CIWS that was built using existing open-source technologies, including smart meters, databases, and services. Two case studies were selected to test functionalities of CIWS, including push and pull data models within single family and multi-unit residential contexts, respectively. CIWS was tested for scalability and performance within our design constraints and proved to be effective within both case studies. All CIWS elements and the case study data described are freely available for re-use.
Subject Keywords
Coverage
Spatial
Temporal
| Start Date: | 01/01/2021 |
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| End Date: | 01/31/2021 |
Content
Related Resources
| This resource is referenced by | Camilo J. Bastidas Pacheco , Joseph C. Brewer, Jeffery S. Horsburgh, Juan Caraballo, 2021. An open source cyberinfrastructure for collecting, processing, storing and accessing high temporal resolution residential water use data, Environmental Modelling and Software, https://doi.org/10.1016/j.envsoft.2021.105137. |
| The content of this resource references | Attallah, N., C. J. Bastidas Pacheco (2023). Supporting data and tools for "An Open-source, Semi-supervised Water End Use Disaggregation and Classification Tool", HydroShare, https://doi.org/10.4211/hs.3143b3b1bdff48e0aaebcb4aedf02feb |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Science Foundation | Cyberinfrastructure for Intelligent Water Supply (CIWS): Shrinking Big Data for Sustainable Urban Water | 1552444 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Joseph Brewer | Utah State University |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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