ac271791-b722-489c-9b68-b37316ec826c English ISO/IEC 8859-1 (also known as Latin 1) nonGeographicDataset nonGeographicDataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:25:36 UK GEMINI 2.3 UK public perceptions around invasive species and biosecurity before and one year after undertaking e-Learning, 2015-2018 2020-01-24 publication https://catalogue.ceh.ac.uk/id/ac271791-b722-489c-9b68-b37316ec826c 10.5285/ac271791-b722-489c-9b68-b37316ec826c doi: Shannon, C.F., Stebbing, P.D., Quinn, C.H., Warren, D.A., Dunn, A.M. (2020). UK public perceptions around invasive species and biosecurity before and one year after undertaking e-Learning, 2015-2018. NERC Environmental Information Data Centre 10.5285/ac271791-b722-489c-9b68-b37316ec826c This data contains the results of student and professional perceptions surveys conducted in the UK before and after e-Learning training, as part of a project to determine the effectiveness of e-Learning as a training tool. The dataset include two surveys; before and after e-Learning training. Students and professionals were given two separate surveys which were combined to create one dataset. The surveys were collected between September 2015 and July 2018. The objective of the survey was to collect data on participants’ awareness, risk perceptions and self-reported behaviours on biosecurity for invasive species. The topics on both the before and after survey included age, role at institution, field of work/study, field activity environments, cleaning methods for equipment, outerwear/footwear and transport and awareness and perceptions of risk around invasive species and biosecurity campaigns. The data does not include the aggregated cleaning scores that were used for the analysis nor has it excluded any participants that were not used in the final data analysis. The dataset has been anonymised by removing names of respondents, email addresses, departments or organisations worked for or studied in, and text responses which could have made the participant identifiable. The research was funded by NERC project no NE/N008391/1. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/ac271791-b722-489c-9b68-b37316ec826c Shannon, C. University of Leeds Caitriona.F.Shannon@cranfield.ac.uk pointOfContact University of Leeds enquiries@leeds.ac.uk owner Shannon, C.F. University of Leeds Caitriona.F.Shannon@cranfield.ac.uk https://orcid.org/0000-0001-9718-2899 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Stebbing, P.D. APEM Limited p.stebbing@apemltd.co.uk https://orcid.org/0000-0001-7189-4409 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Quinn, C.H. University of Leeds c.h.quinn@leeds.ac.uk https://orcid.org/0000-0002-2085-0446 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Warren, D.A. University of Leeds bs14daw@leeds.ac.uk https://orcid.org/0000-0002-2073-7857 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Dunn, A.M. University of Leeds a.dunn@leeds.ac.uk https://orcid.org/0000-0002-4855-1077 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher opinion survey GEMET - Concepts, version 4.1.3 2019-01-28 creation Invasive species Environmental risk 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: Shannon, C.F., Stebbing, P.D., Quinn, C.H., Warren, D.A., Dunn, A.M. (2020). UK public perceptions around invasive species and biosecurity before and one year after undertaking e-Learning, 2015-2018. NERC Environmental Information Data Centre https://doi.org/10.5285/ac271791-b722-489c-9b68-b37316ec826c English utf8 biota environment 2015-09-01 2018-07-31 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/ac271791-b722-489c-9b68-b37316ec826c Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/ac271791-b722-489c-9b68-b37316ec826c.zip Supporting information Supporting information available to assist in re-use of this dataset information nonGeographicDataset nonGeographicDataset 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 All data was collected online using Online Surveys. Information of each survey is detailed in the supporting information. Both the before training and after training surveys took less than 10 minutes to complete. The number of the respondents in the before training survey was 804, and the number of respondents in the post training survey was 79. The spreadsheet has been converted to a CSV file.