Global map of antimcrobial resistance in food animals in low- and middle-income countries
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The file is a raster layer of the prediction of antimicrobial resistance levels in each 10x10 kilometers pixels. The metric, P50, is the proportion of drugs tested in each location with resistance higher than 50%. This map is derived from a collection of >900 points prevalence survey on antimicrobial resistance in animals in low- and middle-income countries (see resistancebank.org)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["antimicorbial resistance animals"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The file is a raster layer of the prediction of antimicrobial resistance levels in each 10x10 kilometers pixels. The metric, P50, is the proportion of drugs tested in each location with resistance higher than 50%. This map is derived from a collection of >900 points prevalence survey on antimicrobial resistance in animals in low- and middle-income countries (see resistancebank.org)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The file is a raster layer of the prediction of antimicrobial resistance levels in each 10x10 kilometers pixels. The metric, P50, is the proportion of drugs tested in each location with resistance higher than 50%. This map is derived from a collection of >900 points prevalence survey on antimicrobial resistance in animals in low- and middle-income countries (see resistancebank.org)
antimicorbial resistance animals