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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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  "cloud_storage_key_segment": "minute-level-iot-sensor-data",
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  "cloud_storage_key_segment": "minute-level-iot-sensor-data",
            
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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": "d8a76bf3-3b2a-48db-88a6-efae6db0ebf8",
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  "id": "d8a76bf3-3b2a-48db-88a6-efae6db0ebf8",
            
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  "isopen": false,
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  "isopen": false,
            
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  "license_id": "other-nc",
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  "license_id": "other-nc",
            
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  "license_title": "Other (Non-Commercial)",
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  "license_title": "Other (Non-Commercial)",
            
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  "maintainer": "Dermot Kerr",
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  "maintainer": "Dermot Kerr",
            
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  "maintainer_email": "d.kerr@smdh.uk",
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  "maintainer_email": "d.kerr@smdh.uk",
            
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  "metadata_created": "2026-02-20T17:06:32.139578",
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  "metadata_created": "2026-02-20T17:06:32.139578",
            
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  "metadata_modified": "2026-02-20T17:06:48.794514",
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  "metadata_modified": "2026-02-20T17:06:49.626405",
            
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  "name": "ulster-university--minute-level-iot-sensor-data",
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  "name": "ulster-university--minute-level-iot-sensor-data",
            
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  "notes": "This dataset contains anonymized minute-level IoT sensor 
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  "notes": "This dataset contains anonymized minute-level IoT sensor 
            
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data collected from industrial devices\r\nacross three companies over 
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data collected from industrial devices\r\nacross three companies over 
            
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a three-month period:\r\n\u2022 November 2024\r\n\u2022 December 
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a three-month period:\r\n\u2022 November 2024\r\n\u2022 December 
            
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2024\r\n\u2022 January 2025\r\nThe dataset is intended for research, 
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2024\r\n\u2022 January 2025\r\nThe dataset is intended for research, 
            
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analytics development, anomaly detection experiments, time-\r\nseries 
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analytics development, anomaly detection experiments, time-\r\nseries 
            
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modelling, and demonstration purposes.\r\nAll device and company 
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modelling, and demonstration purposes.\r\nAll device and company 
            
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identifiers have been anonymised.",
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identifiers have been anonymised.",
            
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  "num_resources": 1,
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  "num_resources": 1,
            
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  "num_tags": 0,
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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 
29
robotics, computer vision, and computational intelligence. Translating 
            
30
research into technologies that catalyse innovation in small and large 
30
research into technologies that catalyse innovation in small and large 
            
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enterprises, we have been instrumental in attracting inward investment 
31
enterprises, we have been instrumental in attracting inward investment 
            
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and developing the knowledge economy. Ulster lead SMDH, lead the 
32
and developing the knowledge economy. Ulster lead SMDH, lead the 
            
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virtual manufacturing platform and contribute to data science, 
33
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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    "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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  "relationships_as_subject": [],
            
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  "resources": [
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  "resources": [
            
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    {
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      "cache_last_updated": null,
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "cloud_storage_key": 
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      "cloud_storage_key": 
            
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ersity/minute-level-iot-sensor-data/Minute_level_IoT_Sensor_Data.pdf",
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ersity/minute-level-iot-sensor-data/Minute_level_IoT_Sensor_Data.pdf",
            
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      "created": "2026-02-20T17:06:48.058140",
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      "datastore_active": false,
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      "datastore_active": false,
            
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      "description": "",
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      "format": "PDF",
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      "format": "PDF",
            
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      "hash": "",
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      "id": "c73af71e-2193-44e0-9782-675054fe374b",
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      "id": "c73af71e-2193-44e0-9782-675054fe374b",
            
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      "name": "Minute_level_IoT_Sensor_Data.pdf",
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      "name": "Minute_level_IoT_Sensor_Data.pdf",
            
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      "package_id": "d8a76bf3-3b2a-48db-88a6-efae6db0ebf8",
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      "size": 160798,
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      "state": "active",
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      "state": "active",
            
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      "url": 
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      "url": 
            
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193-44e0-9782-675054fe374b/download/minute_level_iot_sensor_data.pdf",
            
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      "url_type": "upload"
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      "url_type": "upload"
            
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    }
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    }
            
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  ],
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  ],
            
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  "share_internally": false,
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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": "Minute level IoT Sensor Data",
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  "title": "Minute level IoT Sensor Data",
            
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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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}