Synthetic Temperature Data for P-Flash - A Machine Learning-Based Model for Flashover Prediction Using Recovered Temperature Data
Data and Resources
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SHA256 File for Heat Detector Temperature Data...TEXT
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Heat Detector Temperature Data and...Excel spreadsheet with 4 tabs
Schematic of simulation setup, list of simulation runs and conditions,...
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DOI Access for Synthetic temperature data for...
| Field | Value |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode | {006:55} |
| catalog_@context | https://project-open-data.cio.gov/v1.1/schema/data.json |
| catalog_conformsTo | https://project-open-data.cio.gov/v1.1/schema |
| catalog_describedBy | https://project-open-data.cio.gov/v1.1/schema/catalog.json |
| identifier | ark:/88434/mds2-2258 |
| issued | 2020-09-04 |
| 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 | 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} |
| resource-type | Dataset |
| source_datajson_identifier | true |
| source_hash | b78d57d3f32e6c7bf185cf80fa08121d1163939b |
| source_schema_version | 1.1 |
| theme | {"Fire:Fire detection","Fire:Fire fighting"} |
| Groups |
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| Tags |
|
| isopen | False |
| license_id | other-license-specified |
| license_title | other-license-specified |
| maintainer | Andy Tam |
| maintainer_email | waicheong.tam@nist.gov |
| metadata_created | 2025-11-22T18:33:41.495249 |
| metadata_modified | 2025-11-22T18:33:41.495253 |
| notes | 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. |
| num_resources | 3 |
| num_tags | 9 |
| title | Synthetic Temperature Data for P-Flash - A Machine Learning-Based Model for Flashover Prediction Using Recovered Temperature Data |