Microorganisms in pickle

NIAID Data Ecosystem2026-05-02 收录

泡菜微生物鉴定

食品微生物

数据链接：

https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1154447 数据链接链接失效反馈

官方服务：

资源简介：

Identify the dominant microorganisms in pickle by isolating them, providing a theoretical basis for the industrial production of pickle

创建时间：

2024-08-30

Transcriptomic response of Bacillus cereus to potato-derived extracellular vesicles

转录组学

食品微生物

Bacillus cereus is a foodborne pathogen capable of forming persistent biofilms and producing enterotoxins, posing serious risks to food safety and public health. This dataset presents transcrip

DataCite Commons2025-06-25 更新330

Table_1_Comparative Genomics Provides Insights Into Genetic Diversity of Clostridium tyrobutyricum and Potential Implications for Late Blowing Defects in Cheese.XLSX

基因组学

食品微生物

Clostridium tyrobutyricum has been recognized as the main cause of late blowing defects (LBD) in cheese leading to considerable economic losses for the dairy industry. Although differences in spoilage

NIAID Data Ecosystem70

GB4789.14-2014食品微生物学检验蜡样芽孢杆菌检验用培养基上蜡样芽孢标准株菌落形态数据集

食品微生物

蜡样芽孢杆菌

该数据集依据《GB4789.14-2014 食品安全国家标准食品微生物学检验蜡样芽孢杆菌检验》建立，系统收录了蜡样芽孢杆菌标准菌株在指定培养基上的菌落形态图像及对应标注图，构建了一套兼具专业性与可视化的微生物形态特征标准参照体系。其核心应用价值在于为食品微生物检验中蜡样芽孢杆菌的鉴定提供统一、准确的形态学判据，可广泛应用于实验室内部质量控制、检测人员技能培训与能力考核，以及跨机构检测能力验证，

北京市数据知识产权2026-04-21 更新40

Predictive Microbiology Information Portal (PMIP)

食品微生物

食品安全

PMIP provides access to predictive models for foodborne pathogens, relevant regulatory policies and guidelines, and microbial data related to pathogenic and spoilage microorganisms in food products. T

agdatacommons.nal.usda.gov2024-02-08 更新140

Data from: Sanitizer Resistance and Persistence of Listeria monocytogenes Isolates in Tree Fruit Packing Facilities

食品微生物

抗菌剂研究

These data are associated with the publication "Sanitizer Resistance and Persistence of Listeria monocytogenes Isolates in Tree Fruit Packing Facilities" (https://doi.org/10.1016/j.jfp.2024.100

DataCite Commons2025-06-30 更新70

Microorganisms in pickle

资源简介：

相关数据集