7 datasets & reports open data · 2017–2025
ORCIDGoogle ScholarScopusResearchGateWeb of Science

Open datasets and technical reports produced by HydroLAB, archived in public repositories (Zenodo, GitHub, 4TU.ResearchData). Each entry provides full citation details, a short summary, keywords and a direct link to the resource (DOI or repository), plus a copyable BibTeX citation.

Hydrological MonitoringImage VelocimetryFlood mappingRemote SensingWater Quality Monitoring

Scientific Reports1

  1. 1. Strelnikova, D., Ioneanu, S., Herban, S., Paulus, G., & Manfreda, S. (2022). Operations Manual for the Use of UAS in Environmental Studies (based on SORA 2.0) (Version 01). Zenodo.

    Operations manual for the safe use of UAS in environmental studies, based on the SORA 2.0 risk-assessment framework.

    UASoperations manualSORA 2.0environmental monitoring
    DOI 
    @techreport{strelnikova2022sora,
  author      = {Strelnikova, D. and Ioneanu, S. and Herban, S. and Paulus, G. and Manfreda, S.},
  title       = {{Operations Manual for the Use of UAS in Environmental Studies (based on SORA 2.0) (Version 01)}},
  institution = {Zenodo},
  year        = {2022},
  doi         = {10.5281/zenodo.7562377}
}

Datasets6

  1. 2. Saddi, K. C., van Emmerik, T. H. M., Miglino, D., Poggi, M., Isgrò, F., Tasseron, P., et al. (2025). River plastic dataset. GitHub.

    Image dataset supporting the development and benchmarking of river-plastic detection algorithms.

    river plasticsdatasetimage detectionbenchmark
    GitHub 
    @misc{saddi2025riverplastic,
  author       = {Saddi, K. C. and van Emmerik, T. H. M. and Miglino, D. and Poggi, M. and Isgrò, F. and Tasseron, P. and others},
  title        = {{River plastic dataset}},
  howpublished = {GitHub},
  year         = {2025},
  url          = {https://github.com/khmSDDi/RiverPlasticDataset/},
  note         = {Dataset}
}

  2. 3. Miglino, D. (2025). Dataset of River Turbidity Monitoring Using Camera Systems _Experiment of 14/02/2023. Zenodo.

    Data from a controlled experiment (14/02/2023) on river-turbidity monitoring with camera systems.

    turbidityriver monitoringcamera systemsdataset
    DOI 
    @misc{miglino2025turbidityds,
  author       = {Miglino, D.},
  title        = {{Dataset of River Turbidity Monitoring Using Camera Systems _Experiment of 14/02/2023}},
  howpublished = {Zenodo},
  year         = {2025},
  doi          = {10.5281/zenodo.15649205},
  note         = {Dataset}
}

  3. 4. Avino, A., Cimorelli, L., Furcolo, P., Noto, L. V., Pelosi, A., Pianese, D., & Manfreda, S. (2024). Reconstructed Sub-Daily Rainfall Annual Maxima for Southern Italy. Zenodo.

    Reconstructed sub-daily rainfall annual maxima for Southern Italy; companion dataset to the related J. Hydrol. paper.

    rainfall extremesannual maximaSouthern Italydataset
    DOI 
    @misc{avino2024rainfallmaxds,
  author       = {Avino, A. and Cimorelli, L. and Furcolo, P. and Noto, L. V. and Pelosi, A. and Pianese, D. and Manfreda, S.},
  title        = {{Reconstructed Sub-Daily Rainfall Annual Maxima for Southern Italy}},
  howpublished = {Zenodo},
  year         = {2024},
  doi          = {10.5281/zenodo.10570131},
  note         = {Dataset; companion to the article 'Are rainfall extremes intensifying in Southern Italy?'}
}

  4. 5. Manfreda, S. (2022). UAS survey on a small earthen dam in Romania (1.0). Zenodo.

    UAS imagery and survey products acquired over a small earthen dam in Romania.

    UASearthen damRomaniasurvey
    DOI 
    @misc{manfreda2022uasdam,
  author       = {Manfreda, S.},
  title        = {{UAS survey on a small earthen dam in Romania (1.0)}},
  howpublished = {Zenodo},
  year         = {2022},
  doi          = {10.5281/zenodo.6611869},
  note         = {Dataset}
}

  5. 6. Pizarro, A., Dal Sasso, S. F., Perks, M., & Manfreda, S. (2020). Data on spatial distribution of tracers for optical sensing of stream surface flow. Zenodo.

    Data on the spatial distribution of tracers used for optical sensing of stream surface flow.

    image velocimetrytracer seedingsurface flowdataset
    DOI 
    @misc{pizarro2020tracersds,
  author       = {Pizarro, A. and Dal Sasso, S. F. and Perks, M. and Manfreda, S.},
  title        = {{Data on spatial distribution of tracers for optical sensing of stream surface flow}},
  howpublished = {Zenodo},
  year         = {2020},
  doi          = {10.5281/zenodo.3761859},
  note         = {Dataset}
}

  6. 7. Samela, C., Troy, T. J., & Manfreda, S. (2017). 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method. 4TU.ResearchData.

    Continental-scale 100-year flood susceptibility maps for the United States produced with a geomorphic method.

    flood susceptibilitygeomorphic methodUnited Statesopen dataset
    DOI 4TU.ResearchData 
    @misc{samela2017floodsuscds,
  author       = {Samela, C. and Troy, T. J. and Manfreda, S.},
  title        = {{100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method}},
  howpublished = {4TU.ResearchData},
  year         = {2017},
  doi          = {10.4121/uuid:4dc7ef9f-80d0-4b78-8161-ca35f215d547},
  note         = {Dataset}
}

HydroLAB · University of Naples Federico II — salvatoremanfreda.it. Citation counts and indexing: see the ORCID, Google Scholar, Scopus, ResearchGate and Web of Science profiles linked above.


About the author

He is Full Professor of Hydrology and Hydraulic Constructions at the University of Naples Federico II. He is currently chair of the IAHS MOXXI working group. His research primarily centers on hydrological modeling and monitoring. Recognizing the challenges posed by the complexity and limitations of traditional hydrological observations, he actively explores advanced and alternative monitoring techniques, such as the utilization of Unmanned Aerial Systems (UAS) coupled with image processing.