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  "author": "Dermot Kerr",
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  "author": "Dermot Kerr",
            
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  "author_email": "d.kerr@ulster.ac.uk",
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  "author_email": "d.kerr@ulster.ac.uk",
            
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  "license_title": "Creative Commons Attribution",
            
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
            
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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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  "name": "additive-noise-sequence",
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  "name": "additive-noise-sequence",
            
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  "notes": "Simple additive noise sequence drawn from Gaussian 
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  "notes": "Simple additive noise sequence drawn from Gaussian 
            
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distribution.",
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distribution. Can be used to add noise to sensor readings.",
            
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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 
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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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    "title": "Ulster University",
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    "title": "Ulster University",
            
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      "tags": "Sensor-Position",
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      "tags": "Sensor-Position",
            
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      "display_name": "Sensor-Position",
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  "title": "Additive noise sequence",
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  "title": "Additive noise sequence",
            
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  "type": "dataset",
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