https://researchdata.se/en/catalogue Search results en To increase the understanding of the antibiotic resistance situation small- and medium-scale chicken farming in Vietnam, a study was performed at 305 chicken farms in Thai Nguyen province in Northern Vietnam. The study presents data on antibiotic resistance in commensal E. coli bacteria from healthy chickens (3 from each farm). In total 764 E. coli isolates were analysed for resistance against 15 antibiotic substances belonging to 11 antibiotic classes. Data on multi-drug resistance was also compiled. During the same farm visits, data for a questionnaire-based study was also collected (dataset, and related paper, already published - see related resource), to evaluate farmers' practices and knowledge regarding AMR, as well as farm characteristics. Knowledge and practices were evaluated by using a statistical method called item response theory (IRT). This method is described in more detail in the already published paper (see related resource). Some of those variables are also included in the current dataset since the purpose of the study, besides presenting resistance data, was to search for associations between farm(-er) characteristics and AMR occurrence. The dataset consists of 765 rows and 37 columns. Variable names and answers are coded and explanations can be found in a separate file, "Chicken_farm_AMR_Vietnam_2025_explanations". Some of the variables that are re-used in this dataset has been renamed in the data analysis process. For easier comparisons of the datasets, both the old and new variable names are included in the explanation file. The questionnaire can be found in the data description published elsewhere (see associated data description). Mon, 20 Oct 2025 06:30:10 GMT https://researchdata.se/en/catalogue/dataset/2025-178 https://researchdata.se/en/catalogue/dataset/2025-178 Swedish University of Agricultural Sciences Sandra Nohrborg Ulf Magnusson Data consists of Table and Figure relating to the article "Impact of the pan-genome of Escherichia coli on the potential for de novo antibiotic resistance evolution". The dataset was originally published in DiVA and moved to SND in 2024. Wed, 17 Aug 2022 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/2024-366 https://researchdata.se/en/catalogue/dataset/2024-366 Uppsala University Jennifer Jagdmann