zenodo.json

{
  "creators": [
    {
      "affiliation": "Netherlands eScience Center",
      "name": "Ku, Ou",
      "orcid": "0000-0002-5373-5209"
    },
    {
      "affiliation": "Netherlands eScience Center",
      "name": "Alidoost, Fakhereh (Sarah)"
    },
    {
      "affiliation": "Delft University of Technology",
      "name": "Shan, Xu"
    },
    {
      "affiliation": "Netherlands eScience Center",
      "name": "Chandramouli, Pranav"
    },
    {
      "affiliation": "Netherlands eScience Center",
      "name": "Sonja, Georgievska"
    },
    {
      "affiliation": "Netherlands eScience Center",
      "name": "Grootes, Meiert"
    },
    {
      "affiliation": "Delft University of Technology",
      "name": "Steele-Dunne, Susan"
    }
  ],
  "description": "Measurement Operator Trainer is a Python package training measurement operators (MO) for data assimilations purposes. It is specifically designed for the applications where one needs to split large spatio-temporal data into independent partitions, and then train separate ML models for each partition.",
  "keywords": [
    "Measurement Operator",
    "Data Assimilation",
    "Machine Learning",
    "Kalman Filter"
  ],
  "license": {
    "id": "Apache-2.0"
  },
  "title": "MOTrainer: Distributed Measurement Operator Trainer for Data Assimilation Applications"
}