{
    "@context": [
        "https://w3id.org/ro/crate/1.1/context",
        {
            "croissant": "http://mlcommons.org/croissant/",
            "rai": "http://mlcommons.org/croissant/RAI/",
            "dct": "http://purl.org/dc/terms/"
        }
    ],
    "@graph": [
        {
            "@id": "ro-crate-metadata.json",
            "@type": "CreativeWork",
            "conformsTo": {
                "@id": "https://w3id.org/ro/crate/1.1"
            },
            "about": {
                "@id": "./"
            }
        },
        {
            "@id": "./",
            "@type": "Dataset",
            "name": "Testing, Training and Validation Synthetic Dataset of Transmission Electron Microscopy (TEM) Images of Gold Nano-particles for Segmentation",
            "description": "This is a dataset of Transmission Electron Microscopy (TEM) images of gold nano-particles and comprises synthetic data (generated using TEMPOS) mimicking experimental TEM images (from Professor Lee Cronin, University of Glasgow, https://doi.org/10.1038/s41467-020-16501-4) for segmentation. This data has been split into test and training sets. A validation set of experimental images with manual annotations has also been included. This croissant file was heavily inspired by https://github.com/mlcommons/croissant/tree/828034a45d5c536789c7f6311d4c4a68f7804129/datasets/1.0/coco2014",
            "license": "CC-BY-4.0 (https://spdx.org/licenses/CC-BY-4.0.html)",
            "url": "https://data-collections.psdi.ac.uk/records/evtba-p0q87/latest",
            "version": "1.0.0",
            "datePublished": "2026-04-01T00:00:00Z",
            "creator": [
                {
                    "@id": "https://orcid.org/0000-0002-3081-5644"
                },
                {
                    "@id": "https://orcid.org/0009-0005-2972-9975"
                }
            ],
            "mainEntity": {
                "@id": "./images.zip"
            },
            "hasPart": [
                {
                    "@id": "./images.zip"
                },
                {
                    "@id": "./instances_annotations_train.json"
                },
                {
                    "@id": "./instances_annotations_test.json"
                },
                {
                    "@id": "./instances_annotations_val.json"
                },
                {
                    "@id": "./val_binary_masks.zip"
                }
            ]
        },
        {
            "@id": "https://orcid.org/0000-0002-3081-5644",
            "@type": "Person",
            "name": "Andrew Stewart"
        },
        {
            "@id": "https://orcid.org/0009-0005-2972-9975",
            "@type": "Person",
            "name": "Natalia Da Silva De Sa"
        },
        {
            "@id": "./images.zip",
            "@type": "File",
            "name": "images.zip",
            "description": "zip file containing TEM png image files, grouped into test/train/val folders.",
            "encodingFormat": "application/zip"
        },
        {
            "@id": "./instances_annotations_train.json",
            "@type": "File",
            "name": "instances_annotations_train.json",
            "description": "Metadata for training dataset and each image file along with segmentation annotations for each image file in COCO format (https://cocodataset.org/#home, very common for instance segmentation).",
            "encodingFormat": "application/json"
        },
        {
            "@id": "./instances_annotations_test.json",
            "@type": "File",
            "name": "instances_annotations_test.json",
            "description": "Metadata for test dataset and each image file along with segmentation annotations for each image file in COCO format (https://cocodataset.org/#home, very common for instance segmentation).",
            "encodingFormat": "application/json"
        },
        {
            "@id": "./instances_annotations_val.json",
            "@type": "File",
            "name": "instances_annotations_val.json",
            "description": "Metadata for experimental validation dataset and each image file along with segmentation annotations for each image file in COCO format (https://cocodataset.org/#home, very common for instance segmentation).",
            "encodingFormat": "application/json"
        },
        {
            "@id": "./val_binary_masks.zip",
            "@type": "File",
            "name": "val_binary_masks.zip",
            "description": "Zip file containing binary masks file image (.png) files for the experimental validation dataset. These are very used for U-NET models (popular models in the microscopy field).",
            "encodingFormat": "application/zip"
        }
    ]
}