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  "author": "SMDH Data Science Team",
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  "author": "SMDH Data Science Team",
            
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  "author_email": "info@smdh.uk",
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  "author_email": "info@smdh.uk",
            
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"manufacturing-assets-production-dataset",
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"manufacturing-assets-production-dataset",
            
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  "creator_user_id": "06d04fb0-fe0e-4a6a-b958-061fb38a9f9c",
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  "creator_user_id": "06d04fb0-fe0e-4a6a-b958-061fb38a9f9c",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "db0e88cc-c141-4317-832d-034b080490b3",
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  "id": "db0e88cc-c141-4317-832d-034b080490b3",
            
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  "isopen": false,
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  "isopen": false,
            
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  "license_id": "cc-nc",
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  "license_id": "cc-nc",
            
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  "license_title": "Creative Commons Non-Commercial (Any)",
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  "license_title": "Creative Commons Non-Commercial (Any)",
            
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  "license_url": "http://creativecommons.org/licenses/by-nc/2.0/",
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  "license_url": "http://creativecommons.org/licenses/by-nc/2.0/",
            
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  "maintainer": "Dermot Kerr",
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  "maintainer": "Dermot Kerr",
            
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  "maintainer_email": "d.kerr@ulster.ac.uk",
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  "maintainer_email": "d.kerr@ulster.ac.uk",
            
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  "metadata_created": "2026-03-18T17:26:16.122430",
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  "metadata_created": "2026-03-18T17:26:16.122430",
            
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  "metadata_modified": "2026-03-18T17:26:17.453473",
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  "metadata_modified": "2026-03-18T17:26:42.025108",
            
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  "name": 
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  "name": 
            
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"ulster-university--manufacturing-assets-production-dataset",
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"ulster-university--manufacturing-assets-production-dataset",
            
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  "notes": "** Overview\r\n\r\nThis dataset contains shift-level 
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  "notes": "** Overview\r\n\r\nThis dataset contains shift-level 
            
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production and operational measurements for multiple assets across a 
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production and operational measurements for multiple assets across a 
            
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company. It is intended for use in:\r\n\u2022 Production 
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company. It is intended for use in:\r\n\u2022 Production 
            
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analytics\r\n\u2022 Operational efficiency studies\r\n\u2022 
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analytics\r\n\u2022 Operational efficiency studies\r\n\u2022 
            
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Industrial data science applications\r\n\r\n** Potential Use 
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Industrial data science applications\r\n\r\n** Potential Use 
            
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Cases\r\nThis dataset can be used for:\r\n\u2022 Production 
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Cases\r\nThis dataset can be used for:\r\n\u2022 Production 
            
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performance analysis\r\n\u2022 Downtime and issue analysis\r\n\u2022 
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performance analysis\r\n\u2022 Downtime and issue analysis\r\n\u2022 
            
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Operational efficiency studies\r\n\r\n** Contact / 
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Operational efficiency studies\r\n\r\n** Contact / 
            
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Attribution\r\nDataset prepared for research and educational purposes 
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Attribution\r\nDataset prepared for research and educational purposes 
            
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by Ulster University.\r\nGenerated and processed for public use. All 
28
by Ulster University.\r\nGenerated and processed for public use. All 
            
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identifiers anonymised to ensure privacy.",
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identifiers anonymised to ensure privacy.",
            
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  "num_resources": 0,
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  "num_resources": 1,
            
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  "num_tags": 0,
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2023-03-20T14:27:38.943709",
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    "created": "2023-03-20T14:27:38.943709",
            
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    "description": "Ulster University has a sustained track record in 
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    "description": "Ulster University has a sustained track record in 
            
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robotics, computer vision, and computational intelligence. Translating 
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robotics, computer vision, and computational intelligence. Translating 
            
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research into technologies that catalyse innovation in small and large 
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research into technologies that catalyse innovation in small and large 
            
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enterprises, we have been instrumental in attracting inward investment 
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enterprises, we have been instrumental in attracting inward investment 
            
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and developing the knowledge economy. Ulster lead SMDH, lead the 
39
and developing the knowledge economy. Ulster lead SMDH, lead the 
            
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virtual manufacturing platform and contribute to data science, 
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virtual manufacturing platform and contribute to data science, 
            
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roll-out and marketing.",
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roll-out and marketing.",
            
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    "id": "ef5c8779-8217-40b9-a33a-bf371253343c",
            
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    "image_url": "2023-05-02-104737.949700uu.png",
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    "image_url": "2023-05-02-104737.949700uu.png",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "ulster-university",
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    "name": "ulster-university",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Ulster University",
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    "title": "Ulster University",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "ef5c8779-8217-40b9-a33a-bf371253343c",
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  "owner_org": "ef5c8779-8217-40b9-a33a-bf371253343c",
            
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  "private": false,
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  "private": false,
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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      "cloud_storage_key": 
            
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"1/ulster-university/manufacturing-assets-production-dataset/Readme - 
            
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Asset Activity Dataset.pdf",
            
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      "name": "Readme - Asset Activity Dataset.pdf",
            
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    }
            
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  "share_internally": false,
            
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  "state": "draft",
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  "state": "draft",
            
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  "tags": [],
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  "tags": [],
            
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  "title": "Manufacturing Assets Production Dataset",
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  "title": "Manufacturing Assets Production Dataset",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "url": "",
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  "url": "",
            
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  "version": ""
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  "version": ""
            
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}
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}