Data provided by National Institute of Standards and Technology
This data set includes the time series data from 16 electrochemical, optical, temperature and humidity sensors in 60 experiments to characterize the conditions preceding cooktop ignition compared to the conditions of normal cooking. The sensors are placed in the exhaust duct above a mock-up kitchen cooktop. Experiments cover a broad range of conditions, including both unattended cooking and normal cooking scenarios, where 39 experiments led to auto-ignition. The experiments involve a variety of cooking oils and foods and were conducted using either an electric coil cooktop, gas-fueled cooktop, or electric oven.
About this Dataset
Updated: 2025-04-06
Metadata Last Updated:
2020-04-10 00:00:00
Date Created:
N/A
Data Provided by:
Dataset Owner:
N/A
| Title | Time Series Data from Sensors in the Duct Above a Kitchen Cooktop During Normal Cooking and Ignition Conditions |
|---|---|
| Description | This data set includes the time series data from 16 electrochemical, optical, temperature and humidity sensors in 60 experiments to characterize the conditions preceding cooktop ignition compared to the conditions of normal cooking. The sensors are placed in the exhaust duct above a mock-up kitchen cooktop. Experiments cover a broad range of conditions, including both unattended cooking and normal cooking scenarios, where 39 experiments led to auto-ignition. The experiments involve a variety of cooking oils and foods and were conducted using either an electric coil cooktop, gas-fueled cooktop, or electric oven. |
| Modified | 2020-04-10 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | cooktop ignition , sensor analysis , neural networks , ignition prevention |
{
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"contactPoint": {
"hasEmail": "mailto:[email protected]",
"fn": "Amy Mensch"
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"landingPage": "https:\/\/data.nist.gov\/od\/id\/mds2-2171",
"title": "Time Series Data from Sensors in the Duct Above a Kitchen Cooktop During Normal Cooking and Ignition Conditions",
"description": "This data set includes the time series data from 16 electrochemical, optical, temperature and humidity sensors in 60 experiments to characterize the conditions preceding cooktop ignition compared to the conditions of normal cooking. The sensors are placed in the exhaust duct above a mock-up kitchen cooktop. Experiments cover a broad range of conditions, including both unattended cooking and normal cooking scenarios, where 39 experiments led to auto-ignition. The experiments involve a variety of cooking oils and foods and were conducted using either an electric coil cooktop, gas-fueled cooktop, or electric oven.",
"language": [
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"distribution": [
{
"downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-2171\/all%20data4-10-20.xlsx.sha256",
"mediaType": "text\/plain",
"title": "SHA256 File for Time Series Data and Supplemental Material"
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"downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-2171\/all%20data4-10-20.xlsx",
"format": "Excel spreadsheet with 4 tabs",
"description": "Schematic of experiments with photos, list of experiments and conditions, description of each column in the data tab (including information on the sensors), and time series data for all experiments.",
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"title": "Time Series Data and Supplemental Material"
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{
"accessURL": "https:\/\/doi.org\/10.18434\/M32171",
"title": "DOI Access for Time Series Data from Sensors in the Duct Above a Kitchen Cooktop During Normal Cooking and Ignition Conditions"
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"modified": "2020-04-10 00:00:00",
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"theme": [
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"Information Technology:Internet of Things (IoT)"
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"keyword": [
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"sensor analysis",
"neural networks",
"ignition prevention"
]
}
