TopDat-ED

Explore datasets using multi-select filters. Click Clear Filters to reset filters
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Domain

Representation

Realism

Scale

Please cite directory as: 
@InProceedings{Onabanjo-TopDatED2026,
    title={TopDat-ED: A Topology-Aware Electrical Dataset Directory for Machine Learning},
    author={Onabanjo, Olumayowa and Díaz Piloñeta, Marina and Martinez-Huerta, Gemma and Ortega-Fernández, Francisco and Moreno-García, Carlos Francisco},
    booktitle={26th International Conference on Environment and Electrical Engineering (EEEIC 2026)},
    year={2026},
    publisher={IEEE},
    pages={XX--XX},
    doi = {}
    }
Year Domain Title Representation Realism Scale URL Author(s)

To propose a new dataset:

  1. Open a submission issue
    • Go to the repository’s Issues tab
    • Click New issue
    • Select the Add Dataset Entry to TopDat-ED issue template
  2. Fill out the issue form
    • Provide the dataset title, year, and URL
    • Select the appropriate domain, representation, realism, and scale
    • Submit the issue

Collaborators welcome to keep TopDat-ED fresh 😊