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

This dataset contains locations and species of mosquitoes collected during fieldwork in India in 2022. Mosquito adults and larvae were collected from 4 locations: Bangalore, Udaipur, Delhi and Mumbai. The focus was on collecting Anopheles mosquitoes, but other species were also collected. Anopheles mosquitoes transmit malaria, so changes in their distribution raises concern for the spread of this disease. Full details about this dataset can be found at https://doi.org/10.5285/ac5ecc99-b1b9-443a-b0b1-5059b85bc30f

The dataset consists of location records of the Harlequin ladybird (Harmonia axyridis) in the UK. The records span from 2004 to 2016 with three records from 2003. Records were collected from several sources with the majority coming from online recording via the Harlequin Ladybird Survey website, the UK Ladybird Survey website and the iRecord Ladybird app. Other records have come from coleopterists and from a data call for the most recent ladybird atlas (e.g. local record centres, natural history societies, county Coleoptera recorders). The records include location, date and vice county, as well as life stage and colour form where available. The arrival of the Harlequin ladybird has provided a unique opportunity to study the spread of an invasive animal from the start of the invasion process. The advancements in modern technology, in particular the internet, has also provided new opportunities for recording and has enabled engagement with a far wider audience than was previously possible. This has allowed the ladybird surveys to deal efficiently with large volumes of data and verify and validate submitted records quickly. The data authors are extremely grateful to the many thousands of people across Britain who have contributed their ladybird findings to the UK Ladybird Survey. Full details about this dataset can be found at https://doi.org/10.5285/70ee24a5-d19c-4ca8-a1ce-ca4b51e54933

This dataset comprises summary data for a literature search on invasive alien species (IAS) control efficacy and their outcomes. It contains article title, authors, journal, year of publication, taxa investigated, type of control method, and whether the paper evaluated outcomes. Overall, 373 publications were assessed. The literature search on Web of Science and the subsequent screening were conducted between May and July 2020. Full details about this dataset can be found at https://doi.org/10.5285/7b274f84-0d93-416d-a5b3-54f3387cebd5

The datasets contains species presence and background points, and their associated environmental data for non-native common wall lizard (Podarcis muralis). These data are included for local and national scale modelling of likelihood of species presence, as used in the modelling software MaxEnt. The .asc files included are the raw spatial data of parameters (i.e., distance to nearest road) used in modelling at various local regions, from which SWD 'samples with data' were extracted. Outputs from the local MaxEnt models produced the .txt files included. These serve as landscape layer inputs (habitat suitability and movement cost layers) for modelling population growth and spatial spread in the Individual based modelling platform, RangeShifter. Subsequent outputs of projected population growth (number of individuals per landscape cell) and x/y coordinates for each cell, are presented in files with the prefix Pop.csv and avg.csv (averaged data over 50 replicate runs). Full details about this dataset can be found at https://doi.org/10.5285/8ae3f9ef-9a75-4237-afbd-e01abe02e75b

Marine fish, algae and invertebrate invasive alien species (IAS) data from Akrotiri and Dhekelia, Cyprus. Data were collected during an 19-month monitoring period starting in February 2017 and ending in September 2018. Sampling occurred seasonally, approximately once every 3 months, and used an underwater visual census (UVC) method. The UVC involved divers swimming at a steady pace along three 25m transects, with each transect separated by a 5m gap. The transects were randomly placed, covering a variety of habitats such as seagrass beds and rocky habitats where possible. Fish species were recorded and abundance estimated within 2.5m on each side of the transect. Benthic species (algae and invertebrates) were recorded from quadrats placed every 1m along each 25m transect. Sampling carried out by the University of Cyprus and volunteer divers from the Western Sovereign Base Area Sub Aqua Club as part of a Defra Darwin Initiative Plus project to ascertain baseline data on native and non-native marine species in the Sovereign Base Area of Akrotiri. Full details about this dataset can be found at https://doi.org/10.5285/519d42bf-51cc-42a4-8673-5f2044cfa19a

This dataset contains response data from Q sort exercises investigating attitudes towards non-native lizards in the UK conducted in 2017-18. Data have been collected using standard Q method techniques for combined qualitative and quantitative investigation into subjective viewpoints surrounding a research topic. The data provided are the final Q sort arrangements obtained from participants and provide the basis for further factor analysis. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/a9c314d8-8a87-4992-9677-d9705c380f10

This dataset contains the number and fork length of Aphanius fasciatus and Gambusia holbrooki individuals caught in traps within pools and channels in Akrotiri SBA, Cyprus between 26th February 2018 and 19th March 2019. Fish were collected from submerged and semi-submerged traps within six pools and three channels within the lake approximately every two weeks before being measured, sexed as obvious males and then released. Traps were deployed for 24 hours before data were collected. Water temperature, dissolved oxygen and conductivity were also measured. Data were collected as part of a Defra Darwin Initiative Plus project to ascertain baseline data on native and non-native fish populations in the Sovereign Base Area of Akrotiri. Full details about this dataset can be found at https://doi.org/10.5285/ad7068c3-5225-437a-ae58-8422cb7e3454

This dataset contains count data for the number of each aphid life stage (nymphal stages 1-4 and adult) consumed by coccinellids in two lab-based experiments. The unit of observation (row) in the dataset is aphid life stage, therefore five rows correspond to one focal coccinellid. We experimentally assessed changes in feeding behaviour (prey preference and consumption rate) of native UK coccinellid species (Adalia bipunctata and Coccinella septempunctata), whose populations are, respectively, declining and stable, when exposed to the invasive intraguild predator, Harmonia axyridis. Experiment 1 determined the number of aphids consumed by each coccinellid larval stage in the absence of competition for each of the three coccinellid species. Experiment 2 then assessed the impact of competition on the number of aphids consumed by each coccinellid species. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/c8c3f4ef-889b-457a-a05b-1b2214d5802c

This dataset was constructed to characterise the invasion dynamics of Pinus radiata from seeds released from commercial plantations into surrounding areas, preferably those dominated by native species, in two situations: after the occurrence of forest fires and in the absence of them. Demographic data were collected concerning three key factors of the invasion process: a) The seed source, in this case, the commercial plantation, where the age, tree density, cone production, and the proportion of cones that remained closed were recorded; b) the characteristics of the habitat surrounding the plantation, as a receiving system for the seeds; this included an assessment of ground cover, understory cover, and canopy cover; and c) The natural regeneration of P. radiata was evaluated regarding its density, ages, heights, and the presence of cones. Information was collected in five geographic areas of Chile: in three of them we were able to establish six study sites per area (three burned and three unburned sites), but in two regions there were no register of recent fires, so only three unburned sites per area were established. Three transects were established in each study site. Fires occurred between 2010 and 2021, and data was collected between 2020 and 2021. Full details about this dataset can be found at https://doi.org/10.5285/43dc564c-2054-4e5a-950c-031d35521ebf