Identification

Title

Management data and antibiotic resistant E. coli detection in pre-weaned calves on 51 dairy farms, South West England, 2017-2018

Abstract

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

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/808b2b62-14db-4483-b0e6-5f533c007eec

name: Download the data

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/808b2b62-14db-4483-b0e6-5f533c007eec.zip

name: Supporting information

description: Supporting information available to assist in re-use of this dataset

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/808b2b62-14db-4483-b0e6-5f533c007eec

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

farming

Keywords

Keyword set

keyword value

Agricultural and Aquaculture Facilities

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

South West England

Cattle

Antimicrobial resistance

Geographic location

West bounding longitude

-6.452

East bounding longitude

-1

North bounding latitude

51.766

South bounding latitude

49.864

Temporal reference

Temporal extent

Begin position

2017-01-01

End position

2018-12-31

Dataset reference date

date type

publication

effective date

2021-09-16

Frequency of update

Quality and validity

Lineage

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 51 farms including date, type, eartag numbers of animals in the immediate environment, and descriptive location of sample. 2. Results of microbiological analyses of the samples to identify E. coli resistant to amoxicillin, cephalexin, tetracycline, ciprofloxacin and/or streptomycin. 3. For samples where E. coli resistant to cephalexin were detected, results of laboratory testing for resistance mechanism. 3. For samples where E. coli resistant to cephalexin was detected, results of laboratory testing for resistance mechanism. 4. Questionnaires administered to farmers between Jan 2017 and Jan 2019. These collected demographic and farm management data at the start and end of the data collection periods for each farm, as well as questionnaires around choices of antibiotic administered during the data collection period at the convenience of the participants. 5. Prescription medication records acquired from veterinary practices and farm records. All calculations and data entry were checked for errors before data was accepted.

Conformity

Conformity report

specification

title

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

owner

Metadata on metadata

Metadata point of contact

organisation name

Environmental Information Data Centre

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

email address

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2022-05-18T12:21:40

Metadata language

eng