This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2020 (note that 2017 was a pilot year and has less data than subsequent years). This is version 2 of the dataset; the previous version contained some duplicate data rows, which have been deduplicated in version 2. The “public” FIT Count asks volunteer citizen scientists to count the number of insects, identified into broad taxon groups, seen landing on the flowers of a particular target plant within a 50 cm × 50 cm quadrat during a period of ten minutes. The “1 km square” FIT Count uses the same methodology, but is carried out by PoMS volunteers and staff as part of the PoMS 1 km square survey, which takes place within a randomly allocated set of 1 km squares in England, Scotland and Wales, and also gathers data on pan-trapped insects (see separate dataset). The UK Pollinator Monitoring Scheme is a partnership between the UK Centre for Ecology & Hydrology, Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Hymettus, Natural History Museum, University of Reading and University of Leeds, working with the Bees, Wasps and Ants Recording Society, wider stakeholders and volunteer networks. PoMS is jointly funded by Defra, the Welsh and Scottish Governments, JNCC and project partners. Full details about this dataset can be found at https://doi.org/10.5285/13aed7ac-334f-4bb7-b476-4f1c3da45a13

This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2021 (note that 2017 was a pilot year and has less data than subsequent years). The “public” FIT Count asks volunteer citizen scientists to count the number of insects, identified into broad taxon groups, seen landing on the flowers of a particular target plant within a 50 cm × 50 cm quadrat during a period of ten minutes. The “1 km square” FIT Count uses the same methodology but is carried out by PoMS volunteers and staff as part of the PoMS 1 km square survey, which takes place within a randomly allocated set of 1 km squares across the UK, and also gathers data on pan-trapped insects (see separate dataset). In 2017-2020 the 1 km square survey took place in England, Scotland and Wales only; from 2021 the survey has full UK coverage, but with limited data from Northern Ireland in 2021 which was a pilot year for that country. UK PoMS is coordinated by UKCEH, with involvement from the following partners: Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Buglife, Hymettus, Natural History Museum, the University of Reading and University of Leeds, and working with recording schemes and societies. UKPoMS is advised and supported by a Steering Group, involving UKCEH, JNCC, DAERA, Defra, NatureScot, Welsh Government, All-Ireland Pollinators Plan, and SASA. Full details about this dataset can be found at https://doi.org/10.5285/761cee06-cb94-476e-bb62-69ae634aa5ca

[This dataset is embargoed until October 31, 2026]. This dataset contains vascular plant data recorded from 25 m2 plots in calcareous, neutral or improved grassland habitats and associated questionnaire data on the functionality of the e-Surveyor mobile application used to capture the data. All data were recorded at workshops in Central and Southern England, during June-August 2024. The 51 surveys were recorded by 37 different volunteer participants using the habitat survey function within e-Surveyor and by 2-3 professional expert botanists that worked independently to collect a full plant inventory list. The dataset also contains questionnaire data about participant's experience using the application, which was collected at each workshop directly after the plant survey. Full details about this dataset can be found at https://doi.org/10.5285/33caba6a-6547-4740-9cd5-aa787b7c418e

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed (FIT) Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2020 (note that 2017 was a pilot year and has less data than subsequent years). The “public” FIT Count asks volunteer citizen scientists to count the number of insects, identified into broad taxon groups, seen landing on the flowers of a particular target plant within a 50 cm × 50 cm quadrat during a period of ten minutes. The “1 km square” FIT Count uses the same methodology, but is carried out by PoMS volunteers and staff as part of the PoMS 1 km square survey, which takes place within a randomly allocated set of 1 km squares in England, Scotland and Wales, and also gathers data on pan-trapped insects. The UK Pollinator Monitoring Scheme is a partnership between the UK Centre for Ecology & Hydrology, Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Hymettus, Natural History Museum, University of Reading and University of Leeds, working with the Bees, Wasps and Ants Recording Society, wider stakeholders and volunteer networks. PoMS is jointly funded by Defra, the Welsh and Scottish Governments, JNCC and project partners. Full details about this dataset can be found at https://doi.org/10.5285/61b7df6e-4e27-460a-84a5-c100f0dc919f

This dataset contains fuel moisture contents and flammability metrics for samples of common heather (Calluna vulgaris) collected across the United Kingdom between 15th April and 20th May 2023. A total of 830 samples were used to measure fuel moisture content (FMC), and 130 of these were also subjected to calorimetric analysis. FMC data were obtained gravimetrically by weighing samples before and after drying. Flammability data were obtained by micro-scale combustion calorimetry, which measures heat release related to flaming combustion of a fuel material. The flammability metrics recorded were the heat release capacity (HRC), peak heat release rate (PHRR), total heat release (THR), and temperature at maximum rate of decomposition (Tmax). These data will contribute to the development of models of fuel moisture variability in UK fuels, and thus refine inputs for fire behaviour modelling, which can inform land management strategies in relation to wildfire risk. Full details about this dataset can be found at https://doi.org/10.5285/64d340d7-8f19-49f9-90e0-83d4013e76c2

This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2022 (note that 2017 was a pilot year and has less data than subsequent years). The “public” FIT Count asks volunteer citizen scientists to count the number of insects, identified into broad taxon groups, seen landing on the flowers of a particular target plant within a 50 cm × 50 cm quadrat during a period of ten minutes. The “1 km square” FIT Count uses the same methodology but is carried out by PoMS volunteers and staff as part of the PoMS 1 km square survey, which takes place within a randomly allocated set of 1 km squares across the UK, and also gathers data on pan-trapped insects (see separate dataset). In 2017-2020 the 1 km square survey took place in England, Scotland and Wales only; from 2021 the survey has full UK coverage, but with limited data from Northern Ireland in 2021 which was a pilot year for that country. UK PoMS is co-ordinated by UKCEH, with the following delivery partners up to 2022: the Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Hymettus, Natural History Museum, the University of Reading and University of Leeds. PoMS Steering Group members in 2022 were JNCC, DAERA, Defra, NatureScot, Welsh Government, All-Ireland Pollinators Plan, Natural England, Science and Advice for Scottish Agriculture, Buglife and National Biodiversity Network. Full details about this dataset can be found at https://doi.org/10.5285/699f2172-88c1-44b7-a8f5-a22296a9e2cb

This data resource provides plot-level plant occurrence data for the first ten years (2015-2024) of the National Plant Monitoring Scheme (NPMS, covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat characteristics, at the metre-scale; observations are accompanied by percentage cover information recorded according to the Domin frequency-abundance scale commonly used in plant community ecology. Other information provided includes the plot type (size, shape, according to the NPMS classification), the volunteer-recorded NPMS habitat, the date of sampling, and information regarding the spatial location of the plot. Information contained within the metadata file should allow users to reconstruct the sampling history (including gaps) of any plot that has been sampled within the NPMS scheme between 2015 and 2024. Full details about this dataset can be found at https://doi.org/10.5285/26f52f30-e1d1-4314-89a0-0c3f80695418

Surveys of wellbeing, nature connectedness and pro-nature conservation behaviour scores from adult human participants before and after taking part in nature-based activities, including citizen science, in 2020 are presented. Participants were recruited via a public campaign and were randomly allocated into groups: citizen science, noticing nature (three good things in nature activity), combined citizen science and three good things in nature, and a wait list control. They were invited to take part in activities up to five times in the following eight days. Online surveys of wellbeing and nature connectedness were undertaken at people’s sign up to the project and after the eight days of activities. Demographic characteristics and people’s engagement with the project and responses to the pathways to nature connectedness were recorded after the eight days of activities. The research was carried out to investigate concern about the negative impacts of COVID-19 movement restrictions and social distancing on people's wellbeing and mental health. Research was funded through NERC grant NE/V009656/1 - COVID 19 - Does nature-based citizen science enhance well-being and mitigate negative effects of social isolation? Full details about this dataset can be found at https://doi.org/10.5285/56d4b055-c66b-42b9-8962-a47dfcf3b8b0

This dataset provides habitat data from unstructured biological records made through iRecord. This dataset includes records between 1812 and 2024, however the majority of the data is from recent years. Records are from England, the Isle of Man, Northern Ireland, Scotland and Wales, and are at 1 km square resolution or more precise. The habitat data was entered by volunteers alongside traditional records of individual taxa, with the taxonomic data being the focus of the record. This dataset includes the year of the recording event (or a year range), the grid reference of the record, whether the taxa associated with the record have been verified as correct, and the European Nature Information System (EUNIS) habitat category recorded. Full details about this dataset can be found at https://doi.org/10.5285/464dee85-d724-45ed-b9dd-2e7a6f65c7dd

This dataset is from a UK citizen science study called the Big Compost Experiment, and includes 1) Qualitative and numerical survey data from UK citizens about their opinions and behaviours towards biodegradable and compostable plastics, food waste disposal and home composting, and 2) Qualitative and numerical data from home composting experiments carried out on biodegradable and compostable plastic materials. Data includes opinions and behaviours towards biodegradable and compostable plastics, food waste disposal, home composting methods, geographical location, observed disintegration and degradation performance of compostable plastics in home compost. Data were collected between 07/11/2019 - 30/08/2023 Full details about this dataset can be found at https://doi.org/10.5285/1e5da176-6697-46e1-bbad-d275c100e103