{
  "_schema": "https://data.nist.gov/od/dm/nerdm-schema/v0.7#",
  "@context": [
    "https://data.nist.gov/od/dm/nerdm-pub-context.jsonld",
    {
      "@base": "ark:/88434/mds2-3963"
    }
  ],
  "@type": [
    "nrdp:DataPublication",
    "nrdp:PublicDataResource",
    "dcat:Dataset"
  ],
  "_extensionSchemas": [
    "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/PublicDataResource"
  ],
  "@id": "ark:/88434/mds2-3963",
  "ediid": "ark:/88434/mds2-3963",
  "version": "1.0.3",
  "doi": "doi:10.18434/mds2-3963",
  "title": "A dataset of synthetic additive manufacturing lack-of-fusion pores generated using a three-dimensional Generative Adversarial Network based on X-ray computed tomography images",
  "contactPoint": {
    "fn": "Felix Kim",
    "hasEmail": "mailto:felix.kim@nist.gov"
  },
  "modified": "2025-06-04",
  "status": "available",
  "landingPage": "https://data.nist.gov/od/id/mds2-3963",
  "description": [
    "Synthetic additive manufacturing (AM) lack-of-fusion (LOF) pores are generated using a three-dimensional Generative Adversarial Network (3D-GAN) framework. The LOF pores, introduced by varying laser-based powder bed fusion (L-PBF) process parameters, were extracted from segmented X-ray computed tomography (XCT) scans previously published (doi:10.18434/M32162). The extracted pores served as training data for the 3D-GAN model, which was designed to learn and generate the complex morphologies characteristic of real AM pores. To reduce the generation of fragmented components rather than singular unified structures, a component aware loss module is integrated into the adversarial learning mechanism. The dataset contains 3503 synthetic and training pores, each represented as binary 3D volumes in .mat format and as corresponding two-dimensional (2D) .tiff image stacks. The synthetic pores are developed to generate realistic simulated XCT data sets with AM pore morphology for evaluation and benchmarking of different image segmentation and defect detection algorithms under controlled ground truth conditions. The pores may be useful for structural integrity and other digital twin applications."
  ],
  "keyword": [
    "Additive manufacturing; defect; pore generation; three-dimensional generative adversarial network; defect dataset development; pore morphology; component aware loss module; non-destructive evaluation."
  ],
  "topic": [
    {
      "@type": "Concept",
      "scheme": "https://data.nist.gov/od/dm/nist-themes/v1.1",
      "tag": "Mathematics and Statistics: Image and signal processing"
    },
    {
      "@type": "Concept",
      "scheme": "https://data.nist.gov/od/dm/nist-themes/v1.1",
      "tag": "Mathematics and Statistics: Modeling and simulation research"
    },
    {
      "@type": "Concept",
      "scheme": "https://data.nist.gov/od/dm/nist-themes/v1.1",
      "tag": "Manufacturing: Additive manufacturing"
    },
    {
      "@type": "Concept",
      "scheme": "https://data.nist.gov/od/dm/nist-themes/v1.1",
      "tag": "Manufacturing: Quality assurance"
    },
    {
      "@type": "Concept",
      "scheme": "https://data.nist.gov/od/dm/nist-themes/v1.1",
      "tag": "Materials: Modeling and computational material science"
    },
    {
      "scheme": "https://data.nist.gov/od/dm/nist-themes-additivemanufacturing/v1.0",
      "tag": "Microstructure: Microstructure analysis",
      "@type": "Concept"
    },
    {
      "scheme": "https://data.nist.gov/od/dm/nist-themes-additivemanufacturing/v1.0",
      "tag": "Computation and Analysis: Microstructural analysis",
      "@type": "Concept"
    }
  ],
  "accessLevel": "public",
  "license": "https://www.nist.gov/open/license",
  "publisher": {
    "name": "National Institute of Standards and Technology",
    "@type": "org:Organization"
  },
  "language": [
    "en"
  ],
  "bureauCode": [
    "006:55"
  ],
  "programCode": [
    "006:052"
  ],
  "_editStatus": "done",
  "theme": [
    "Mathematics and Statistics: Image and signal processing",
    "Mathematics and Statistics: Modeling and simulation research",
    "Manufacturing: Additive manufacturing",
    "Manufacturing: Quality assurance",
    "Materials: Modeling and computational material science"
  ],
  "components": [
    {
      "@id": "cmps/synthetic_pores_mat_files.zip",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "synthetic_pores_mat_files.zip",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-3963/synthetic_pores_mat_files.zip",
      "mediaType": "application/x-zip-compressed",
      "title": "synthetic pores mat files",
      "size": 2394013,
      "checksum": {
        "hash": "86784d7e423be50c547f849b95803b1c51a94b65714154759ec9577a9b7b78db",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      }
    },
    {
      "@id": "cmps/train_pores_tiff_files.zip",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "train_pores_tiff_files.zip",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-3963/train_pores_tiff_files.zip",
      "mediaType": "application/x-zip-compressed",
      "title": "train pores tiff files",
      "size": 3548642,
      "checksum": {
        "hash": "508e7b78c90909ca7fbfc7012dac20d7f962d4c6c80d447dfc7adaddecf406ed",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      }
    },
    {
      "@id": "cmps/Figures",
      "@type": [
        "nrdp:Subcollection"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/Subcollection"
      ],
      "filepath": "Figures"
    },
    {
      "@id": "cmps/Figures/Figure2.png",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "Figures/Figure2.png",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-3963/Figures/Figure2.png",
      "mediaType": "image/png",
      "title": "Figure2 of readme file",
      "size": 191294,
      "checksum": {
        "hash": "4a919bcdb90eb164b32aa339a62d8ed20d3d52c70da2eb68fd6b026c86199187",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      }
    },
    {
      "@id": "cmps/Figures/Figure3.png",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "Figures/Figure3.png",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-3963/Figures/Figure3.png",
      "mediaType": "image/png",
      "title": "Figure3 of readme file",
      "size": 24917,
      "checksum": {
        "hash": "2c50d4f1185166de2b32d55ba3f3aea19dcafbfe11ee1371b489f16f253270f0",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      }
    },
    {
      "@id": "cmps/Figures/Figure1.png",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "Figures/Figure1.png",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-3963/Figures/Figure1.png",
      "mediaType": "image/png",
      "title": "Figure1 of readme file",
      "size": 58557,
      "checksum": {
        "hash": "3678ec02d16f48332f816e9dfe107dfdb36fd200d3944e02c4a663f61d286815",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      }
    },
    {
      "@id": "cmps/train_pores_mat_files.zip",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "train_pores_mat_files.zip",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-3963/train_pores_mat_files.zip",
      "mediaType": "application/x-zip-compressed",
      "title": "train pores mat files",
      "size": 2318268,
      "checksum": {
        "hash": "93b5031c78d4e79002401fe188b4819277f4477f347435a35f776c3c5896b35a",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      }
    },
    {
      "@id": "cmps/train_pore_metadata.csv",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "train_pore_metadata.csv",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-3963/train_pore_metadata.csv",
      "mediaType": "text/csv",
      "title": "train pore meta data",
      "size": 203089,
      "checksum": {
        "hash": "50457b74c242107233483e2d79e239d245e169951e7eeb09595d9037470e9d92",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      }
    },
    {
      "@id": "cmps/readme.md",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "readme.md",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-3963/readme.md",
      "mediaType": "text/x-web-markdown",
      "format": {
        "description": "markdown documentation"
      },
      "title": "readme",
      "size": 12599,
      "checksum": {
        "hash": "44596aebf5d7170d7455d600688ba9b9f38066e5313962f6f94efdcf96cc5472",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      }
    },
    {
      "@id": "cmps/synthetic_pore_metadata.csv",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "synthetic_pore_metadata.csv",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-3963/synthetic_pore_metadata.csv",
      "mediaType": "text/csv",
      "title": "synthetic pore meta data",
      "size": 231421,
      "checksum": {
        "hash": "96ce1a50f03c86e79153ad14fc946874e2f02ec13f4bb3ebcb729114f16e3efe",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      }
    },
    {
      "@id": "cmps/synthetic_pores_tiff_files.zip",
      "@type": [
        "nrdp:DataFile",
        "nrdp:DownloadableFile",
        "dcat:Distribution"
      ],
      "_extensionSchemas": [
        "https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"
      ],
      "filepath": "synthetic_pores_tiff_files.zip",
      "downloadURL": "https://data.nist.gov/od/ds/mds2-3963/synthetic_pores_tiff_files.zip",
      "mediaType": "application/x-zip-compressed",
      "title": "synthetic pores tiff files",
      "size": 3594030,
      "checksum": {
        "hash": "c8ed183bac324402678b7b55e4d449d5dbe32188b9816272a5268ca8d59ffab4",
        "algorithm": {
          "tag": "sha256",
          "@type": "Thing"
        }
      }
    }
  ],
  "authors": [
    {
      "familyName": "Hoque",
      "fn": "Mahmudul   Hoque",
      "givenName": "Mahmudul ",
      "middleName": "",
      "affiliation": [
        {
          "title": "morgan",
          "@type": "org:Organization"
        }
      ],
      "orcid": "0009-0006-5532-4135",
      "@type": "foaf:Person"
    },
    {
      "familyName": "Kim",
      "fn": "Felix Hoyean Kim",
      "givenName": "Felix",
      "middleName": "Hoyean",
      "affiliation": [
        {
          "title": "National Institute of Standards and Technology",
          "@type": "org:Organization",
          "@id": "ror:05xpvk416"
        }
      ],
      "orcid": "0000-0002-1042-9500",
      "@type": "foaf:Person"
    }
  ],
  "annotated": "2026-01-06T03:49:11.240202",
  "revised": "2025-11-18T12:00:55.774782",
  "issued": null,
  "firstIssued": "2025-11-18T12:00:55.774782",
  "releaseHistory": {
    "@id": "ark:/88434/mds2-3963/pdr:v",
    "@type": [
      "nrdr:ReleaseHistory"
    ],
    "hasRelease": [
      {
        "version": "1.0.0",
        "issued": "2025-06-04",
        "@id": "ark:/88434/mds2-3963/pdr:v/1.0.0",
        "location": "https://data.nist.gov/od/id/ark:/88434/mds2-3963/pdr:v/1.0.0",
        "description": "initial release"
      },
      {
        "version": "1.0.1",
        "issued": "2026-01-03",
        "@id": "ark:/88434/mds2-3963/pdr:v/1.0.1",
        "location": "https://data.nist.gov/od/id/ark:/88434/mds2-3963/pdr:v/1.0.1",
        "description": "added to additiveman collection"
      },
      {
        "version": "1.0.2",
        "issued": "2026-01-04",
        "@id": "ark:/88434/mds2-3963/pdr:v/1.0.2",
        "location": "https://data.nist.gov/od/id/ark:/88434/mds2-3963/pdr:v/1.0.2",
        "description": "fix AM tags"
      },
      {
        "version": "1.0.3",
        "issued": "2026-01-05",
        "@id": "ark:/88434/mds2-3963/pdr:v/1.0.3",
        "location": "https://data.nist.gov/od/id/ark:/88434/mds2-3963/pdr:v/1.0.3",
        "description": "fix AM tags: remove redundant tags"
      }
    ]
  },
  "isPartOf": [
    {
      "@type": [
        "nrda:ScienceTheme",
        "nrdp:PublicDataResource"
      ],
      "@id": "ark:/88434/pdr0-0003",
      "title": "Additive Manufacturing Data"
    }
  ]
}