This is a database of all known birds, bryophytes, fungi, invertebrates, lichens and mammals that use Scots Pine (Pinus sylvestris) in the UK. Scots pine is the UK’s only native conifer that is used commercially and is the most common tree in the UK’s native Caledonian pine woods. In total 1589 species are listed in the database. For each species a level of association with Scots pine is provided, ranging from obligate (only found on Scots pine) to cosmopolitan (found on a wide range of other tree species). Data on the ecology of each Scots pine associated species were collated: part of tree used, and use made of tree (feeding, roosting, breeding). Data on use or otherwise of 34 other tree species were also collated for each of the 1589 species. Full details about this dataset can be found at https://doi.org/10.5285/97f8c19b-7451-4809-b011-0f9cf3eb8430

This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies. While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2021/2022 UK Census population data on Output Area level with Land Cover Map 2021 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded population data product at 1 km x 1 km spatial resolution. The mapping product is based on British National Grid (OSGB36 datum). Full details about this dataset can be found at https://doi.org/10.5285/7beefde9-c520-4ddf-897a-0167e8918595

This dataset contains UK Met Office Daily Weather Reports (DWR) from ten sites from the UK Met Office Monthly Weather Records (1884-1993), using the recently-scanned UK Met Office Monthly Weather Reports (MWR). The data are presented as is, with no attempt to provide any corrections or calibration. Approximately half the stations exhibit sharp drops in thunderdays at various points between 1960 and 1990. Comparison with nearby Met Office Integrated Data Archive System (MIDAS) stations suggests the low thunderdays are the result of changes in observing practice, rather than genuine changes in thunderstorm occurrence. These potential data issues limit interpretation of the long-term trends. DWR contain extensive logs of UK thunderstorm activity, in the form of thunderday observations. To date, only a very small fraction of these data have been digitised as part of the MIDAS dataset, and exclusively after 1950.

The data are projected extreme sea levels at approximately 2 km spacing around the UK coastline, including England, Wales, Scotland, Northern Ireland, and Isle of Man. The data were produced by the Met Office, using estimates of present-day extreme sea levels at all open-coast Coastal Flood Boundary point locations, provided by the Environment Agency and projections of 21st Century time-mean sea level change prepared at the Met Office. Projected extreme sea level values are described for 16 different annual probabilities of exceedance (return levels), ranging from 1:1 to 1:10,000, identified in the shapefile as ‘t1’ to ‘t10000’. Confidence levels relating to the 5% and 95% lower and upper bounds of confidence are included, identified in the shapefile with the prefix ‘c1_’ and ‘c3_’ respectively, as well as the 70% confidence level identified in the shapefile with the prefix ‘c2_’. The data were produced to put the projected future mean sea level change in the context of the present-day extremes. The data were produced by combining the best estimates of present-day extreme sea levels with projections of mean sea level change. The data covers the period from 2020 to 2100 and is available for each decade (i.e., 2020, 2030... 2100). Further information on this dataset and UKCP18 can be found in the documentation section.

The data are projected extreme sea levels at approximately 2 km spacing around the UK coastline, including England, Wales, Scotland, Northern Ireland, and Isle of Man. The data were produced by the Met Office, using estimates of present-day extreme sea levels at all open-coast Coastal Flood Boundary point locations, provided by the Environment Agency and projections of exploratory extended time-mean sea level change prepared at the Met Office. Projected extreme sea level values are described for 16 different annual probabilities of exceedance (return levels), ranging from 1:1 to 1:10,000, identified in the shapefile as ‘t1’ to ‘t10000’. Confidence levels relating to the 5% and 95% lower and upper bounds of confidence are included, identified in the shapefile with the prefix ‘c1_’ and ‘c3_’ respectively, as well as the 70% confidence level identified in the shapefile with the prefix ‘c2_’. The data were produced to put the projected future mean sea level change in the context of the present-day extremes. The data were produced by combining the best estimates of present-day extreme sea levels with projections of mean sea level change. The data covers the period from 2020 to 2300 and is available for each decade (i.e., 2020, 2030... 2300). Further information on this dataset and UKCP18 can be found in the documentation section.

Past (observed) climate and future climate scenario projections data that were produced as part of the UK climate projections 2009 (UKCP09) service. The data produced by the UK Met Office providing information on plausible changes in 21st century climate for the UK helping to inform on adaptation to a changing climate. A UKCP09 website provided climate information for the UK and its regions. Through the website user interface climate statistics over the UK could be calculated dynamically. The data that informs these calculations is made available here. UKCP09 provides future climate projections for land and marine regions as well as observed (past) climate data for the UK. Additionally a copy of the projections csv archive is provided. These are zip files of batch processed UKCP09 data outputs. The projections improve upon the previous climate projections (UKCIP 2002) by incorporating more recent scientific understanding, providing data at a higher spatial resolution and providing an approach to dealing with uncertainties through probabilistic projections.

Data were collected by UK stations from 1853 until 2000. These data are the Met Office's 'old' Land Surface Observation data and have been superseded by the MIDAS dataset collection. This dataset remains for historic purposes only. The data contain measurements of hourly and daily meteorological values, such as rainfall, sunshine duration, temperature, and wind speed. The MIDAS dataset supersedes this dataset and new users should apply for access to that by following the on-screen instructions. If necessary, you will be able to access this historic dataset once you have been granted access to the MIDAS data. The dataset contains the measurements of the following parameters: Sunshine duration Snow depth Visibility Wind speed and wind direction Temperature Cloud type Past and present weather

The dataset includes six files of UK physical river characteristics including five files of gridded data at 1 km x 1 km resolution and one comma separated table. The data includes: • Drainage directions (D8 flow method), ESRI coding • Drainage directions (D8 flow method), unifhy (python hydrology framework) coding • Catchment areas (km2) • Widths of bankfull rivers (m) • Depths of bankfull rivers (m) • NRFA gauging station locations (easting (m), northing (m)) Two versions of drainage directions are provided, both have the same drainage directions but different numbering systems. The comma separated NRFA (National River Flow Archive) gauging station locations table provides the best locations of 1499 river flow gauging stations on the 1km grids, together with the approximate error in the 1km × 1km gridded delineation of the upstream catchment area. All datasets are provided on the British National Grid. Full details about this dataset can be found at https://doi.org/10.5285/8df65124-68e9-4c68-8659-1c6b82c735e9

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

The dataset contains dissolved greenhouse and nutrient data collected from seven UK estuaries: the Clyde, Clywd, Conwy, Dart, Forth, Tamar and Tay, for the LOCATE project. Sampling was conducted from July 2017 to April 2018 on a quarterly basis, and was coordinated to occur on falling tides and to target specific salinities of interest: 1, 2, 5, 10, 15, 25 psu. Data were obtained via collection of gas and water samples in situ, and concentrations were derived via subsequent sample processing and analysis. Full details about this dataset can be found at https://doi.org/10.5285/328cacca-c33b-450a-a39c-302b4eed07a2