7c3ad803-fbd4-45c3-826b-fa04c902ded8
English
ISO/IEC 8859-1 (also known as Latin 1)
dataset
dataset
Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
info@eidc.ac.uk
pointOfContact
2022-05-18T12:21:41
UK GEMINI
2.3
GB place names
Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for individual heifers on 37 dairy farms, South West England, 2018
2021-09-16
publication
https://catalogue.ceh.ac.uk/id/7c3ad803-fbd4-45c3-826b-fa04c902ded8
10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8
doi:
Reyher, K., Avison, M., Schubert, H., Cogan, T., Gould, V. C. (2021). Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for individual heifers on 37 dairy farms, South West England, 2018. NERC EDS Environmental Information Data Centre 10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8
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
Reyher, K.
University of Bristol
enquiries@ceh.ac.uk
author
Avison, M.
University of Bristol
enquiries@ceh.ac.uk
author
Schubert, H.
University of Bristol
enquiries@ceh.ac.uk
author
Cogan, T.
University of Bristol
enquiries@ceh.ac.uk
author
Gould, V. C.
University of Bristol
enquiries@ceh.ac.uk
author
NERC EDS Environmental Information Data Centre
enquiries@ceh.ac.uk
custodian
NERC EDS Environmental Information Data Centre
enquiries@ceh.ac.uk
publisher
Gould, V. C.
University of Bristol
enquiries@ceh.ac.uk
pointOfContact
University of Bristol
enquiries@ceh.ac.uk
owner
Agricultural and Aquaculture Facilities
theme
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
Environmental risk
South West England
Cattle
Antimicrobial resistance
otherRestrictions
no limitations
otherRestrictions
This resource is available under the terms of the Open Government Licence
otherRestrictions
If you reuse this data, you should cite: Reyher, K., Avison, M., Schubert, H., Cogan, T., Gould, V. C. (2021). Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for individual heifers on 37 dairy farms, South West England, 2018. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8
textTable
English
utf8
farming
2018-01-01
2018-12-31
-6.452
-1
49.864
51.766
Comma-separated values (CSV)
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
distributor
https://data-package.ceh.ac.uk/data/7c3ad803-fbd4-45c3-826b-fa04c902ded8
Download the data
Download a copy of this data
download
https://data-package.ceh.ac.uk/sd/7c3ad803-fbd4-45c3-826b-fa04c902ded8.zip
Supporting information
Supporting information available to assist in re-use of this dataset
information
dataset
dataset
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2010-12-08
This dataset is a subset of the "Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for 53 dairy farms, South West England, 2017-2019" dataset (https://catalogue.ceh.ac.uk/documents/c9bc537a-d1c5-43a0-b146-42c25d4e8160) and comprises of 1. Records of samples taken from 37 farms including date, eartag numbers of animals in the immediate environment, sample type and descriptive location. 2. Records of microbiological analyses of the samples to identify those containing E. coli resistant to amoxicillin, cephalexin and/or tetracycline. 3. Prescription medication records acquired from veterinary practices and farm records. All calculations and data entry were checked for errors before data was accepted.