A multisource dataset for anomaly detection and fault prediction in urban water distribution networks.

Babela J, Munk M, Munkova D

Open source

DOI
10.1038/s41597-026-07203-5
Published
2026 Apr 17
Container
Scientific data
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41597-026-07203-5,
  title = {A multisource dataset for anomaly detection and fault prediction in urban water distribution networks.},
  author = {Babela J and Munk M and Munkova D},
  year = {2026},
  journal = {Scientific data},
  doi = {10.1038/s41597-026-07203-5},
  url = {https://doi.org/10.1038/s41597-026-07203-5}
}

RIS

TY  - JOUR
TI  - A multisource dataset for anomaly detection and fault prediction in urban water distribution networks.
AU  - Babela J
AU  - Munk M
AU  - Munkova D
PY  - 2026
JO  - Scientific data
DO  - 10.1038/s41597-026-07203-5
UR  - https://doi.org/10.1038/s41597-026-07203-5
ER  - 

APA

J, B., M, M., & D, M. (2026). A multisource dataset for anomaly detection and fault prediction in urban water distribution networks.. Scientific data. https://doi.org/10.1038/s41597-026-07203-5

Source records