{
  "@context": "https://schema.org",
  "@type": "Dataset",
  "name": "Application Deployment Metadata",
  "description": "Structured metadata for applications, users, and projects deployed on the SciLifeLab Serve platform (https://serve.scilifelab.se/).",
  "dateCreated": "2026-04-12T03:30:33.241756+00:00",
  "creator": {
    "@type": "Organization",
    "name": "SciLifeLab Data Centre",
    "url": "https://www.scilifelab.se/data"
  },
  "hasPart": [
    {
      "@type": "SoftwareApplication",
      "name": "TRIDENT",
      "description": "Predicting chemical EC50 and EC10 ecotoxiticy values towards fish, aquatic invertebrate, and algae for a diverse set of effects using AI. Publication in Science Advances available through DOI: https://doi.org/10.1126/sciadv.adk6669",
      "url": "https://trident.serve.scilifelab.se",
      "softwareVersion": "ghcr.io/scilifelabdatacentre/serve-charts/custom-app:1.1.3",
      "author": {
        "@type": "Person",
        "name": "K\u00e4ll Styrbj\u00f6rn",
        "email": "kall.styrbjorn@gmail.com",
        "affiliations": [
          {
            "@type": "Organization",
            "name": "Chalmers University of Technology",
            "department": "Chalmers University of Technology",
            "identifier": "https://ror.org/040wg7k59"
          }
        ]
      },
      "applicationCategory": "Cloud Application",
      "operatingSystem": "Kubernetes",
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "appImage",
          "value": "styrbjornk/streamlit-app-trident-serve-v4.2:latest"
        },
        {
          "@type": "PropertyValue",
          "name": "appCreated",
          "value": "2024-01-16T08:03:47.259189+00:00"
        },
        {
          "@type": "PropertyValue",
          "name": "appUpdated",
          "value": "2025-06-23T14:28:11.687996+00:00"
        },
        {
          "@type": "PropertyValue",
          "name": "cpuRequest",
          "value": "100m"
        },
        {
          "@type": "PropertyValue",
          "name": "cpuLimit",
          "value": "8000m"
        },
        {
          "@type": "PropertyValue",
          "name": "memoryRequest",
          "value": "2Gi"
        },
        {
          "@type": "PropertyValue",
          "name": "memoryLimit",
          "value": "32Gi"
        },
        {
          "@type": "PropertyValue",
          "name": "storageRequest",
          "value": "200Mi"
        },
        {
          "@type": "PropertyValue",
          "name": "storageLimit",
          "value": "5000Mi"
        }
      ],
      "hasPart": {
        "@type": "SoftwareSourceCode",
        "codeRepository": "https://github.com/StyrbjornKall/TRIDENT_application"
      }
    }
  ],
  "about": {
    "@type": "Project",
    "name": "TRIDENT",
    "description": "Predicting chemical ecotoxicity using AI. TRIDENT is a transformer-based deep learning model that predicts the EC50 and EC10 ecotoxicity values of chemicals for the organism groups fish, aquatic invertebrates and algae for a diverse set of effects. The models can be used to predict various endpoints, effects and exposure durations. The associated publication in Science Advances is available through https://doi.org/10.1126/sciadv.adk6669.",
    "additionalProperty": [
      {
        "@type": "PropertyValue",
        "name": "dateCreated",
        "value": "2023-12-12T12:06:59.146000+00:00"
      },
      {
        "@type": "PropertyValue",
        "name": "minio",
        "value": "1"
      },
      {
        "@type": "PropertyValue",
        "name": "vscode",
        "value": "3"
      },
      {
        "@type": "PropertyValue",
        "name": "dashapp",
        "value": "10"
      },
      {
        "@type": "PropertyValue",
        "name": "mongodb",
        "value": "0"
      },
      {
        "@type": "PropertyValue",
        "name": "reducer",
        "value": "0"
      },
      {
        "@type": "PropertyValue",
        "name": "rstudio",
        "value": "3"
      },
      {
        "@type": "PropertyValue",
        "name": "combiner",
        "value": "0"
      },
      {
        "@type": "PropertyValue",
        "name": "shinyapp",
        "value": "10"
      },
      {
        "@type": "PropertyValue",
        "name": "customapp",
        "value": "10"
      },
      {
        "@type": "PropertyValue",
        "name": "netpolicy",
        "value": "0"
      },
      {
        "@type": "PropertyValue",
        "name": "volumeK8s",
        "value": "0"
      },
      {
        "@type": "PropertyValue",
        "name": "tissuumaps",
        "value": "1"
      },
      {
        "@type": "PropertyValue",
        "name": "jupyter-lab",
        "value": "3"
      },
      {
        "@type": "PropertyValue",
        "name": "mlflow-serve",
        "value": "10"
      },
      {
        "@type": "PropertyValue",
        "name": "python-serve",
        "value": "10"
      },
      {
        "@type": "PropertyValue",
        "name": "mongo-express",
        "value": "0"
      },
      {
        "@type": "PropertyValue",
        "name": "pytorch-serve",
        "value": "10"
      },
      {
        "@type": "PropertyValue",
        "name": "shinyproxyapp",
        "value": "10"
      },
      {
        "@type": "PropertyValue",
        "name": "tensorflow-serve",
        "value": "10"
      }
    ],
    "funder": {
      "@type": "Person",
      "name": "K\u00e4ll Styrbj\u00f6rn",
      "email": "kall.styrbjorn@gmail.com"
    },
    "parentOrganization": {
      "@type": "Organization",
      "name": "Chalmers University of Technology",
      "additionalProperty": {
        "@type": "PropertyValue",
        "name": "department",
        "value": "Chalmers University of Technology"
      }
    }
  }
}