LeakDB
A realistic leakage dataset for water distribution networks. The dataset is comprised of a large number of artificially created but realistic leakage scenarios, on different water distribution networks, under varying conditions.
https://github.com/kios-research/leakdb
Category: Hydrosphere
Sub Category: Ocean and Hydrology Data Access
Keywords
benchmark dataset leakage
Keywords from Contributors
hydraulics epanet water contamination-event fault quality
Last synced: about 11 hours ago
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Repository metadata
LeakDB (Leakage Diagnosis Benchmark) is a realistic leakage dataset for water distribution networks. The dataset is comprised of a large number of artificially created but realistic leakage scenarios, on different water distribution networks, under varying conditions. A scoring algorithm in MATLAB code is provided to evaluate the results of different algorithms.
- Host: GitHub
- URL: https://github.com/kios-research/leakdb
- Owner: KIOS-Research
- License: eupl-1.2
- Created: 2018-04-25T13:57:48.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2024-10-24T14:56:04.000Z (6 months ago)
- Last Synced: 2025-04-23T02:36:34.384Z (5 days ago)
- Topics: benchmark, dataset, leakage
- Language: Python
- Homepage:
- Size: 71.2 MB
- Stars: 51
- Watchers: 7
- Forks: 19
- Open Issues: 2
- Releases: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE.md
README.md
LeakDB
LeakDB (Leakage Diagnosis Benchmark) is a realistic leakage dataset for water distribution networks.
The dataset is comprised of a large number of artificially created but realistic leakage scenarios, on different water distribution networks, under varying conditions.
A scoring algorithm in MATLAB code is provided to evaluate the results of different algorithms.
How to run a use example of the dataset
Download the folder LeakDB, set the run path in Matlab to CCWI-WDSA2018, and run main.m. This provides a user interface in Matlab where the user can run and evaluate the provided leakage detection algorithms on a limited number of scenarios on the Hanoi benchmark network.
Download the complete dataset
The LeakDB dataset is currently being expanded, as more networks, detection algorithms and features are added.
The complete dataset is provided: DATASET
Cite as:
Vrachimis, S. G., Kyriakou, M. S., Eliades, D. G. and Polycarpou, M. M. (2018). LeakDB: A benchmark dataset for leakage diagnosis in water distribution networks. In Proc. of WDSA / CCWI Joint Conference (Vol. 1).
Owner metadata
- Name: KIOS Research and Innovation Center of Excellence, University of Cyprus
- Login: KIOS-Research
- Email:
- Kind: organization
- Description:
- Website: www.kios.ucy.ac.cy
- Location: Nicosia, Cyprus
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/4362083?v=4
- Repositories: 61
- Last ynced at: 2023-07-01T05:10:20.895Z
- Profile URL: https://github.com/KIOS-Research
GitHub Events
Total
- Watch event: 9
- Push event: 1
Last Year
- Watch event: 9
- Push event: 1
Committers metadata
Last synced: 7 days ago
Total Commits: 28
Total Committers: 3
Avg Commits per committer: 9.333
Development Distribution Score (DDS): 0.321
Commits in past year: 4
Committers in past year: 1
Avg Commits per committer in past year: 4.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Marios S. Kyriakou | m****k@g****m | 19 |
| Stelios G. Vrachimis | v****s@u****y | 7 |
| Demetrios G. Eliades | e****t@g****m | 2 |
Committer domains:
- ucy.ac.cy: 1
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Last synced: 1 day ago
Total issues: 4
Total pull requests: 0
Average time to close issues: 12 days
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Total issue authors: 3
Total pull request authors: 0
Average comments per issue: 1.5
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
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Past year merged pull request: 0
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- KongD7 (1)
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