{"@type": "dcat:Dataset", "accessLevel": "public", "accrualPeriodicity": "irregular", "bureauCode": ["006:55"], "contactPoint": {"fn": "Andy Tam", "hasEmail": "mailto:waicheong.tam@nist.gov"}, "description": "This data set provides heat detector temperatures in a single story three-compartment structure. 1000 sets of detector temperatures are generated using CData [1]. The data set are obtained based on simulation runs with various t-squared fires. The peak heat release rate and time to peak range from approximately 50 kW to 2200 kW and from 50 s to 1400 s, respectively. A detailed description of this work can be found in Ref. [2]. [1] Tam, W.C., Fu, E.Y., Peacock, R., Reneke, P., Wang, J., Li, J. and Cleary, T., 2020. Generating synthetic sensor data to facilitate machine learning paradigm for prediction of building fire hazard. Fire Technology, pp.1-22. [2] Wang, J., Tam, W.C., Jia, Y., Peacock, R., Reneke, P., Fu, E.Y. and Cleary, T., 2021. P-Flash - A machine learning-based model for flashover prediction using recovered temperature data. Fire Safety Journal, 122, p.103341.", "distribution": [{"downloadURL": "https://data.nist.gov/od/ds/mds2-2258/P-Flash%20all%20data%202020-6-26.xlsx.sha256", "mediaType": "text/plain", "title": "SHA256 File for Heat Detector Temperature Data and Supplemental Material"}, {"description": "Schematic of simulation setup, list of simulation runs and conditions, specification of heat detectors, and temperature data of all heat detectors from 1000 simulation runs.", "downloadURL": "https://data.nist.gov/od/ds/mds2-2258/P-Flash%20all%20data%202020-6-26.xlsx", "format": "Excel spreadsheet with 4 tabs", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "Heat Detector Temperature Data and Supplemental Material"}, {"accessURL": "https://doi.org/10.18434/M32258", "title": "DOI Access for Synthetic temperature data for development of a machine learning based flashover prediction model"}], "identifier": "ark:/88434/mds2-2258", "issued": "2020-09-04", "keyword": ["Machine learning; Synthetic temperature data; Flashover occurrence prediction; Smart firefighting"], "landingPage": "https://data.nist.gov/od/id/mds2-2258", "language": ["en"], "license": "https://www.nist.gov/open/license", "modified": "2020-03-25 00:00:00", "programCode": ["006:045"], "publisher": {"@type": "org:Organization", "name": "National Institute of Standards and Technology"}, "references": ["https://www.sciencedirect.com/science/article/pii/S0379711221000825", "https://link.springer.com/article/10.1007/s10694-020-01022-9"], "theme": ["Fire:Fire detection", "Fire:Fire fighting"], "title": "Synthetic Temperature Data for P-Flash - A Machine Learning-Based Model for Flashover Prediction Using Recovered Temperature Data"}