General soil chemical, physical and microbial properties are presented for soil samples at six depths collected from a field experiment in the Conwy catchment. Samples were collected in May 2015. Core samples were taken along three transects by trained members of staff the Centre for Ecology & Hydrology and Bangor University. General soil chemical, physical and microbial properties were measured at six depths by trained members of staff, using recognised procedures at the laboratories of the School of Environment, Natural Resources and Geography, Bangor University. The samples were taken to provide supporting information for assessing the relationship between soil microbial populations and soil properties. The data were collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf. Full details about this dataset can be found at https://doi.org/10.5285/f7b2beaa-08cf-48db-9b07-c55118d11506

Probabalistic climate projections for the UK from 1961-2100 produced by the Met Office for UK Climate Projections 2018 (UKCP18). The data is available on a 25km OSGB grid.

In-situ airborne observations by the CASA 212 RS - INTA aircraft aircraft for T MAPP FP7- Multi spectral aerial photo interpretation for the archaeology of the Tiber Valley in Tuscany (Italy): remote sensing applied to the environmental reconstruction of the ancient landscape (T-MAPP-FP7).

In-situ airborne observations by the ATR42 - SAFIRE aircraft aircraft for WaLiTemp- Inter-comparison of airborne and ground-based lidar measurements for the characterization of atmospheric water vapour and temperature profiles (WALITEMP).

This dataset collection contains 0.25 degree resolution 3-hourly and daily global Climate Prediction Center morphing method (CMORPH) precipitation data. CMORPH is the CPC Morphing technique which derives precipitation estimates from low orbiter satellite microwave observations.

In-situ airborne observations by the POLAR 5 - AWI aircraft aircraft for ALISA - Atmosphere-surface interactions over the Larsen Ice Shelf and Weddell Sea, Antarctic.

Data are presented for soil state and environmental parameters of soil samples collected from paired intensive and extensive grassland systems, including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter and spring 2015-2016 by project staff experienced in soil core collection. Samples were subdivided for subsequent analysis of total Nitrogen, total Carbon, total organic Carbon, total Phosphorus, soil pH, soil moisture, loss on ignition, sand, silt, clay texture, Fourier-transform infrared spectroscopy (FT-IR) spectra and bulk density. The data were collected to help understand soil functional change in a variety of management and climatic scenarios as part of NERC U-GRASS (Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands) award (NERC Reference NE/M017125/1) part of the NERC Soil Security Programme. Full details about this dataset can be found at https://doi.org/10.5285/2a817dbf-097f-45b4-85bd-745f4e78e656

This web map service (WMS) is the 25m raster version of the Land Cover Map 2015 (LCM2015) for Great Britain and Northern Ireland. It shows the target habitat class with the highest percentage cover in each 25m x 25m pixel. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.

Soil Moisture data (version 04.2) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The 'Active' and 'Passive' products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the 'Active' product, these have been derived from AMI-WS and ASCAT instruments and for the 'Passive' product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS. The 'Combined Product' is then a blended product based on the former two data sets. The homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the Passive and Combined products covering the period (yyyy-mm-dd) 1978-11-01 to 2016-12-31 and the Active product covering 1991-08-05 to 2016-12-31. The soil moisture data for the Passive and the Combined product are provided in volumetric units [m3 m-3], while the active soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document. The data set should be cited using the all three of the following references: 1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001 2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070 3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014

A collection of data products produced by the NERC project ODYSEA: Ocean Dynamics as Driver of Seasonal to Decadal European Atmospheric variability.