Data on long term trends in Polybrominated diphenyl ethers (PBDEs) in sparrowhawk (Accipiter nisus) eggs. Samples were selected from the Predatory Bird Monitoring Scheme (PBMS) Archive. Failed or abandoned sparrowhawk eggs were taken from nests by licensed egg collectors and archived as part of the monitoring activities of the PBMS in the UK. The period studied was 1985 to 2007. Data are presented in three tables including detected PBDEs, interpolated PBDEs and sample properties which are described in a metadata file. The Predatory Bird Monitoring Scheme (PBMS) is a long-term, national monitoring scheme that quantifies the concentrations of contaminants in the livers and eggs of selected species of predatory and fish-eating birds in Britain. Full details about this dataset can be found at https://doi.org/10.5285/5fdccbe5-066b-4130-8431-d6389c31cea2

[THIS DATASET HAS BEEN WITHDRAWN]. 1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2015. The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012. Full details about this dataset can be found at https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca

[THIS DATASET HAS BEEN WITHDRAWN]. 1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2017. The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012. Full details about this dataset can be found at https://doi.org/10.5285/ee9ab43d-a4fe-4e73-afd5-cd4fc4c82556

[THIS DATASET HAS BEEN WITHDRAWN]. 1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2012. The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012. Full details about this dataset can be found at https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e

1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2019. The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012. Full details about this dataset can be found at https://doi.org/10.5285/dbf13dd5-90cd-457a-a986-f2f9dd97e93c

This data contains the time series flow discharge results of hydrological simulation of the River Trent at Colwick using UKCP09 Weather Generator inputs for a variety of time slices and emissions scenarios. The Weather Generator (WG) inputs were run on a hydrological model (Leathard et al., unpublished), calibrated using the observed record 1961-2002. Each simulation is derived from 100 30-year time series of weather at the WG location 4400355 for Control, Low, Medium and High emissions scenarios for the 2020s, 2030s, 2040s, 2050s and 2080s time slices. The datasets include the relevant accompanying input WG data. Full details about this dataset can be found at https://doi.org/10.5285/986d3df3-d9bf-42eb-8e18-850b8d54f37b

This data provides the results of a survey of the water quality of small streams draining forested and felled catchments across Wales. The water quality measurements are extensive, including analysis of major, minor, trace and ultra-trace elements together with nutrient and standard water quality measures such as pH and Gran alkalinity. Opportunistic sampling was undertaken with the aid for Forest Enterprise staff to sample sites at periods of both dry and very wet weather in order to assess the water quality under baseflow and stormflow conditions, respectively, to assess groundwater and soil endmember chemistries. The work was undertaken as part of a joint NERC, Environment Agency and Forestry Commission funded study to examine the impacts of conifer harvesting and replanting on upland water quality (Neal et al., 1998). Small catchment sites (2 to 5 ha) were chosen single tree and soil type at each location. Across the sites, the number of samplings varied between 1 and 10 depending upon feasibility of sampling. The monitoring period was from the 7th September 1995 up to the 18th November 1997.The scope and range of the Welsh survey work together with the findings are provided by Neal et al., 1998. Full details about this dataset can be found at https://doi.org/10.5285/6361c484-42bd-4e0c-874f-ef22dc55129f

Data on concentrations of PBDEs found in the livers of 59 sparrowhawks that had died in the UK between 1998 and 2009. Samples were selected from the Predatory Bird Monitoring Scheme (PBMS) Archive. Archived livers from birds that had died between 1998 and 2009 from central England, directly east and within 250 km of the Welsh border, were analysed. Data are presented as one table and two supporting files containing metadata. The Predatory Bird Monitoring Scheme (PBMS) is a long-term, national monitoring scheme that quantifies the concentrations of contaminants in the livers and eggs of selected species of predatory and fish-eating birds in Britain. Full details about this dataset can be found at https://doi.org/10.5285/1c4f835c-d243-4593-a9b4-71410b9b4bf0

This dataset provides data on automated high resolution soil respiration measurements as micromoles of Carbon dioxide per square metre per second. Automated high resolution soil measurements were carried out in campaigns in 2013 and 2014. Campaigns were carried out monthly between June and October 2013 and in June and August 2014 capturing the plants growing season. Data were collected from the climate change field site, Climoor, that is located in the Clocaenog forest, North East Wales. The experimental field site consists of three untreated control plots three plots where the plant canopy air is artificially warmed during night time hours and three plots where rainfall is excluded from the plots at least during the plants growing season (March to September). Measurements were taken with automated soil respiration chambers. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. Plot level soil respiration measurements are important to investigate soil carbon dynamics and changes in soil carbon cycling and storage under the imposed climatic treatments. Soil respiration measurements were carried out by trained CEH Bangor members of staff. Full details about this dataset can be found at https://doi.org/10.5285/dcfc2081-f42c-4238-93dd-2ce64438b3ea

This dataset provides data on the timing of butterfly flight periods for each UK butterfly species across all monitored sites in the UK Butterfly Monitoring Scheme (UKBMS). Annual data from over 2,500 sites are presented relating to the timing (first appearance, last appearance, date of peak abundance and mean flight date) and the duration (total number of days, standard deviation around the mean flight date) of the flight period for all UK butterfly species from 1976 to 2021. In addition, this data is divided each year for eleven multi-voltine species to provide separate phenology data for distinct flight periods associated with first and subsequent generations. Phenology change is a widely used measure of the biological impacts of climate change because of the close relationship between temperature and the timing of biological events. This dataset provides an invaluable tool for assessing the impacts of climate change both spatially and temporally. The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/0c59eb20-26e3-4066-86f5-418afae18769