Drug susceptibility pattern for M. tuberculosis clinical isolates.

Figshare2015-12-02 更新2026-04-29 收录

数据链接：

https://figshare.com/articles/dataset/_Drug_susceptibility_pattern_for_M_tuberculosis_clinical_isolates_/281228 数据链接链接失效反馈

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资源简介：

Drug susceptibility pattern for M. tuberculosis clinical isolates.

创建时间：

2015-12-02

Predicting Antimicrobial Resistance Without Local Data: Zero‑Shot Learning in Kazakhstan

抗菌药耐药性

零样本学习迁移

This repository contains the trained models, calibration objects, inference datasets, and analysis code for the paper. The study develops a zero-shot country-level transfer framework that predicts ant

Zenodo2026-05-16 更新30

Molecular epidemiology of methicillin-resistant Staphylococcus aureus isolates referred to the Institute of Environmental Science and Research for New Zealand annual MRSA surveys between 2005–2011.

MRSA流行病学

抗菌药耐药性

Molecular epidemiology of methicillin-resistant Staphylococcus aureus isolates referred to the Institute of Environmental Science and Research for New Zealand annual MRSA surveys between 2005–2011.

NIAID Data Ecosystem10

Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2021/2022 – North Macedonia

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食品安全

This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/

NIAID Data Ecosystem00

Table_2_Genomic insight into Campylobacter jejuni isolated from commercial turkey flocks in Germany using whole-genome sequencing analysis.xlsx

家禽弯曲菌基因组流行病学

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Campylobacter (C.) jejuni is a zoonotic bacterium of public health significance. The present investigation was designed to assess the epidemiology and genetic heterogeneity of C. jejuni recovered from

NIAID Data Ecosystem30

Genomic epidemiology and antimicrobial resistance of Neisseria gonorrhoeae in New Zealand

病原体基因组流行病学

抗菌药耐药性

A population-level study of Neisseria gonorrhoeae was conducted in New Zealand from 2014-2015.

NIAID Data Ecosystem00