{
  "title": "HOMEROS demo: ML-based earthquake detection over large seismic datasets",
  "description": "<p>A Jupyter notebook implementing an end-to-end, daily-batch earthquake detection workflow for continuous seismic data: FDSN waveform download with instrument-response removal, machine-learning phase picking with PhaseNet via SeisBench , phase association with PyOcto, approximate local magnitude estimation, mapping, and export of a hypoDD-format phase file. Demonstrated on 23 stations in the central Ionian Islands and western mainland Greece (networks HT, HL, HP, HA). Developed within the HOMEROS project (Harmonising Observations from Multi-hazard Environments in Research for Open Science).</p>",
  "upload_type": "software",
  "license": " GNU General Public License v3.0",
  "access_right": "open",
  "language": "eng",
  "creators": [
    {
      "name": "Anagnostou, Vasilis",
      "affiliation": "Aristotle University of Thessaloniki",
      "orcid": "0009-0007-9303-8399"
    },
    {
      "name": "Papadimitriou, Eleftheria",
      "affiliation": "Aristotle University of Thessaloniki",
      "orcid": "0000–0003–3574–2787"
    },
    {
      "name": "Karakostas, Vasileios",
      "affiliation": "Aristotle University of Thessaloniki",
      "orcid": "0000-0003-4462-7094"
    },    
  ],
  "keywords": [
    "seismology",
    "earthquake detection",
    "machine learning",
    "phase picking",
    "PhaseNet",
    "SeisBench",
    "PyOcto",
    "ObsPy",
    "FDSN",
    "Greece",
    "Ionian Islands",
    "open science",
    "FAIR" ],
  "grants": [
    {
      "id": "10.13039/501100000780::101129751"
    }
  ],
  "related_identifiers": [

    {
      "identifier": "10.5281/zenodo.22745993",
      "relation": "cites",
      "scheme": "doi"
    }
  ]
}