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U.S. Public Domain
[Open Data]

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ComBase: A Web Resource for Quantitative and Predictive Food Microbiology

ComBase includes a systematically formatted database of quantified microbial responses to the food environment with more than 65,000 records, and is used for:

  • Informing the design of food safety risk management plans
  • Producing Food Safety Plans and HACCP plans
  • Reducing food waste
  • Assessing microbiological risk in foods

The ComBase Browser enables you to search thousands of microbial growth and survival curves that have been collated in research establishments and from publications.

The ComBase Predictive Models are a collection of software tools based on ComBase data to predict the growth or inactivation of microorganisms as a function of environmental factors such as temperature, pH and water activity in broth.

Interested users can also contribute growth or inactivation data via the Donate Data page, which includes instructional videos, data template and sample, and an Excel demo file of data and macros for checking data format and syntax.

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FieldValue
Tags
ComBase
Combined Database for Predictive Microbiology
NP108
Modified
2022-09-27
Release Date
2019-02-15
Frequency
Continuously
Identifier
ba4f0d8f-5acd-4d90-926a-c68918231202
Spatial / Geographical Coverage Area
POLYGON ((-169.8046875 -58.762503262787, -169.8046875 77.936351534581, 191.6015625 77.936351534581, 191.6015625 -58.762503262787))
Publisher
USDA Agricultural Research Service
Spatial / Geographical Coverage Location
Worldwide
Temporal Coverage
January 1, 2009
License
U.S. Public Domain
Contact Name
Lindsay, James
Contact Email
james.lindsay@usda.gov
Public Access Level
Public
Program Code
005:040 - Department of Agriculture - National Research
Bureau Code
005:18 - Agricultural Research Service
Extended Metadata: 
FieldValue
Authors
ComBase Team
Peer Reviewed
No
Funding Sources
Agricultural Research Service
Agricultural Research Service
Primary Article

BARANYI, J., & TAMPLIN, M. L. (2004). ComBase: A Common Database on Microbial Responses to Food Environments†. Journal of Food Protection, 67(9), 1967-1971. https://doi.org/10.4315/0362-028x-67.9.1967
Related Articles

Tenenhaus-Aziza, F., & Ellouze, M. (2015). Software for predictive microbiology and risk assessment: A description and comparison of tools presented at the ICPMF8 Software Fair. Food Microbiology, 45, 290-299. https://doi.org/10.1016/j.fm.2014.06.026

AgID: 5427044

Koutsoumanis, K. P., Lianou, A., & Gougouli, M. (2016). Latest developments in foodborne pathogens modeling. Current Opinion in Food Science, 8, 89-98. https://doi.org/10.1016/j.cofs.2016.04.006

AgID: 5281154
Product Type
Dataset
Related Content
ComBase Bioinformatic Tool Reduces Scourge of Foodborne Illness (USDA/ARS 'Tellus' article, 2021)
FieldValue
ISO Topic(s)
health
National Agricultural Library Thesaurus Term
databases
risk management process
HACCP
food waste
risk
foods
microbial growth
computer software
microorganisms
environmental factors
temperature
pH
water activity
Ag Data Commons Keywords
  • Food & Nutrition
  • Food safety
  • Microorganisms
  • Food & Nutrition
  • Food safety
  • Food & Nutrition
  • Online database

Suggested Citations:

(original article) BARANYI, J., & TAMPLIN, M. L. (2004). ComBase: A Common Database on Microbial Responses to Food Environments†. Journal of Food Protection, 67(9), 1967-1971. https://doi.org/10.4315/0362-028x-67.9.1967

(dataset) ComBase Team (2019). ComBase: A Web Resource for Quantitative and Predictive Food Microbiology. USDA Agricultural Research Service. https://data.nal.usda.gov/dataset/combase-web-resource-quantitative-and-predictive-food-microbiology. Accessed 2023-12-01.