This dataset contains over 4000 faecally-contaminated environmental samples collected over 2 years across 53 dairy farms in England. The samples were analysed for E. coli resistance to amoxicillin, streptomycin, cefalexin, tetracycline and ciprofloxacin and detection of resistant strains is presented in the dataset as a binary result, along with mechanisms of resistance to third generation cephalosporins where relevant. In addition there is comprehensive farm management data including antibiotic usage data. Full details about this dataset can be found at https://doi.org/10.5285/c9bc537a-d1c5-43a0-b146-42c25d4e8160

This dataset represents a cohort of heifers followed from birth to 18 months or first pregnancy on 37 farms in the South West of England. Faecally-contaminated environmental samples were collected over 2 years and the samples analysed for E. coli resistance to amoxicillin, cefalexin and tetracycline with detection of resistant strains presented in the dataset as a binary result. Farm-level antibiotic usage data is also given. Full details about this dataset can be found at https://doi.org/10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8

This dataset consists of faecally-contaminated samples taken from the environment around pre-weaned calves on 51 farms in South-West England during 2017/2018 and is a subset of a larger dataset investigating antibiotic resistance in E. coli across 53 farms. The samples were analysed for presence of E. coli resistant to amoxicillin, streptomycin, cephalexin, tetracycline and/or ciprofloxacin. Management factors deemed related to pre-weaned calves are included, including antibiotic usage data at farm level. Full details about this dataset can be found at https://doi.org/10.5285/808b2b62-14db-4483-b0e6-5f533c007eec

The data consists of faecal microbiology and moisture content taken from two separate cohorts of 30 cattle. The cattle were from the North Wyke Farm Platform, a UK national capability, located at Rothamsted Research, North Wyke in Devon. Faecal samples were collected between November 2016 and July 2018. Samples were collected and microbiologically analysed in the laboratory within 6 to 8 hours. Two cohorts of 30 cattle were selected from 90 animals, ten from each of the three farmlets. Each cohort covering the period that cattle enter the farm platform, i.e. from weaning until slaughter ca. 16 – 20 months. Full details about this dataset can be found at https://doi.org/10.5285/ec83a4ea-923a-4f02-8a9f-aeecc43d7123

This dataset includes a description of the flora on Somerford Mead, Oxford for the period 1987 to 2014. During the period 1991 to 2014, a grazing experiment was conducted on the meadow, in which individual plots were either grazed by sheep, grazed by cattle or left ungrazed following the annual hay cut. The data consist of list of all plant species found at sample locations within each plot together with an estimate of abundance. Full details about this dataset can be found at https://doi.org/10.5285/691a823c-d1da-4420-837c-3c30ce83818b

The dataset describes the results of a laboratory analysis investigating the presence of various infectious agents in goats, cattle, pigs, dogs and sheep from Mambwe District, Eastern Province, Zambia. Blood samples were collected in June, July and August 2013 and stored on Whatman FTA (Flinders Technology Associates) cards. Laboratory analysis was conducted using polymerase chain reactions (PCR) for African trypanosomes and tick-borne infections. In addition, serum was tested for Brucella using the Rose Bengal test. Cattle and dogs were tested for African trypanosomes, tick-borne infections and Brucella. Goats and sheep were tested for African trypanosomes and Brucella. Pigs were tested for African trypanosomes only. The objective was to evaluate the health status of domestic animals in the Mambwe District. This work was conducted alongside a human wellbeing questionnaire survey. The research was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC project no NE/J000701/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Full details about this dataset can be found at https://doi.org/10.5285/f81ede76-a1d4-4367-aa8c-de087350457e