cff-version: 1.2.0
abstract: "<p>This dataset contains 4,847 NetCDF files generated with the Delft Advanced Research Terra Simulator (DARTS). Each file represents a distinct high-resolution reservoir simulation, designed for machine learning research in carbon storage and reservoir engineering. The simulations include pressure, temperature, saturations, flow fields, permeability, porosity, and production variables. This is the dataset used on the publication Integrating Score-Based Diffusion Models with Machine Learning-Enhanced Localization for Advanced Data Assimilation in Geological Carbon Storage, which is still preprint. </p>"
authors:
  - family-names: Serrao Seabra
    given-names: Gabriel
    orcid: "https://orcid.org/0009-0002-0558-8117"
  - family-names: Vossepoel
    given-names: Femke
    orcid: "https://orcid.org/0000-0002-3391-6651"
  - family-names: Voskov
    given-names: Denis
    orcid: "https://orcid.org/0000-0002-5399-1755"
  - family-names: Mücke
    given-names: Nikolaj
    orcid: "https://orcid.org/0000-0002-2635-9586"
  - family-names: Silva
    given-names: Vinicius
    orcid: "https://orcid.org/0000-0001-7282-0524"
  - family-names: Emerick
    given-names: Alexandre
    orcid: "https://orcid.org/0000-0002-4921-4902"
title: "Dataset for the publication &#34;Integrating Score-Based Diffusion Models with Machine Learning-Enhanced Localization for Advanced Data Assimilation in Geological Carbon Storage&#34;"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/a8ad7808-b923-4335-ba7a-898c8c1232be.v1
license: CC BY 4.0
date-released: 2025-10-13