Rapid Climate Change (RAPID) was a £20 million, six-year (2001-2007) programme for the Natural Environment Research Council. The programme aimed to improve the ability to quantify the probability and magnitude of future rapid change in climate, with a main (but not exclusive) focus on the role of the Atlantic Ocean's Thermohaline Circulation. This dataset collection contains comparison of high-resolution isotope records from terrestrial archives in NW Europe with model simulations of isotopes in precipitation. The aims of the proposal were to compare high-resolution isotope records from terrestrial archives in NW Europe with model simulations of isotopes in precipitation in order to investigate the role of different forcing factors in rapid climate change during the late glacial and Holocene and to undertake model validation. The proposal constitutes a UK contribution to the PAGES ISOMAP initiative. A water isotope model was developed for the UK Hadley centre model HadCM3. Comparisons have been made between simulations of the isotopic composition of precipitation during periods of rapid climatic change and reconstructions from well-dated and well-calibrated palaeo-archives (lake sediments, peat and speleothem) generated in this study and obtained from the literature, in order to investigate the causes and nature of abrupt climatic events.

The "ISOMAP UK" project was a combined data-modelling investigation of water isotopes and their interpretation during rapid climate change events project was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Round 1 - NER/T/S/2002/00460 - Duration 1 May 2003 - 30 Apr 2008) led by Prof J.A. Holmes of the University College London, with co-investigators at the University of Southampton, University of Liverpool, University of Manchester, University of Bristol and the NERC British Antarctic Survey. This dataset contains comparison of high-resolution isotope records from terrestrial archives in NW Europe with model simulations of isotopes in precipitation. This is a control 9K simulation, and a freshwater hosing experiment. The freshwater hosing experiment had 5Sv of freshwater added to the North Atlantic for 1 year. The freshwater forcing was then removed and the model allowed to adjust. Rapid Climate Change (RAPID) was a £20 million, six-year (2001-2007) programme for the Natural Environment Research Council. The programme aimed to improve the ability to quantify the probability and magnitude of future rapid change in climate, with a main (but not exclusive) focus on the role of the Atlantic Ocean's Thermohaline Circulation.

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset includes rainfall data from a ground level rain gauge as well as from basic storage rain gauges within the experimental plots in the Climoor field site in the Clocaenog Forest. Data includes volume of rainfall at both site and plot level, and rainfall chemistry (site level) from 1999-2012. Determinands include: Sodium (Na), Potassium (K), Calcium (Ca), Magnesium (Mg), Aluminium (Al), PO4-P, Chlorine (Cl), Phosphorus (P), Nitogen (N), Ammonium Nitrogen (NH4-N), Nitrate Nitrogen (NO3-N), Sulphate (SO4), dissolved organic Carbon (DOC) and pH for 1999-2002; and NH4-N, NO3-N, SO4, DOC and pH for 2002-2012. Full details about this dataset can be found at https://doi.org/10.5285/7b0da62f-14fc-4636-abb0-4dd9a668a6eb

[This dataset is embargoed until December 31, 2026]. This dataset includes a range of determinants present in sediments and water at 8 locations along the Thane River, Vashi Creek, Mumbai between October 2021 and November 2023. Variables measured include geochemical parameters pH, Ec, OM, MC, LOI, TOC, potentially toxic elements; Al, As, Al, Ca, Cd, Co, Cr, Cu, Fe, Mg, Mn, Ni, Pb, Sn, Se, V, Zn, and anions; fluoride, nitrite, bromide, nitrate, phosphate, and sulphate. Data also includes antibiotic quantification within the Creek over the same time point. Data includes quantity of Azithromycin, Ciprofloxacin, Enrofloxacin, Erythromycin, Levofloxacin, Linezolid, Oxacillin, Penicillin, and Sulfamethazine. Full details about this dataset can be found at https://doi.org/10.5285/b22b914c-e2fc-4298-879a-1bd24f242b3c

Future Flows Hydrology (FF-HydMod-PPE) is an 11-member ensemble projections of river flow and groundwater levels time series for 283 catchments and 24 boreholes in Great Britain. It is derived from Future Flows Climate, an 11-member 1-km bias-corrected and downscaled climate projection products based on the SRES A1B emission scenario. River Flows data are at a daily time step: Groundwater Levels data are at a monthly time step. Future Flows Hydrology span from 1951 to 2098. The development of Future Flows Hydrology was made during the partnership project 'Future Flows and Groundwater Levels' funded by the Environment Agency for England and Wales, Defra, UK Water Research Industry, NERC (Centre for Ecology & Hydrology and British Geological Survey) and Wallingford HydroSolutions. Full details about this dataset can be found at https://doi.org/10.5285/f3723162-4fed-4d9d-92c6-dd17412fa37b

Data on concentrations of dissolved PAHs and dissolved organic carbon (DOC) in 20 water samples collected from the River Wyre at five sites between Marshaw Wyre, one of the two headwaters of the River Wyre, and Garstang from August 2010 to June 2011. As typical for this region, the upland reaches of this river drain peatland areas, resulting in a relatively high dissolved organic carbon content. PAHs were measured as freely dissolved PAHs (i.e. freely dissolved in the water phase) and total dissolved PAHs (the sum of freely dissolved and those associated with DOC) and the fractions associated with DOC have been estimated from these two. Where possible, the DOC-water partition coefficient of the PAHs, calculated from the concentrations determined, is given as well. The data is presented as one table and two supporting files containing metadata. Full details about this dataset can be found at https://doi.org/10.5285/24200DBA-D0F4-4BE4-AE6F-2C6EC1147FA4

Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. The observatory is based on Calhau Island of São Vicente, Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. The dataset contains long term measurements of CO mixing ratio made from 7.5m using a fast response vacuum ultraviolet fluorescence CO analyser (Aerolaser 5001) 2008-2015 and using a Picarro G2401 Analyser from 2015 onwards .

Data comprise estimates of activity concentrations of naturally occurring radionuclides (40K, 238U and 232Th series radionuclides) in environmental media (soil and stream sediments and waters) and non-human biota (focusing on the ICRP Reference Animals and Plants). For soil, stream sediments and stream waters data were derived from total K, U and Th concentrations mainly from the ongoing geochemical survey of the United Kingdom (G-BASE), conducted by the British Geological Survey. The geochemical survey data are currently incomplete for England and Wales, but almost complete coverage was obtained for K in stream sediments by using the Wolfson Atlas data for southern England. For U and Th in sediments and K, U and Th in soils, more complete coverage was achieved by geological extrapolation (using relationships between soils/sediments and bedrock/superficial geology). For media and sediments, datasets are provided for both: (i) geometric mean concentrations from measured samples on a 5 x 5 km square basis where data are available; and (ii) extrapolated surfaces covering all of England and Wales. Data for non-human biota are from targeted sampling and analyses and data review. Full details about this dataset can be found at https://doi.org/10.5285/bb2d7874-7bf4-44de-aa43-348bd684a2fe

The dataset contains a key to species and locations of moss samples and water samples collected along with relative water contents for moss samples. The stable carbon (13C/12C) and oxygen (18O/17O) composition of cellulose is presented, along with the stable oxygen (18O/17O) and hydrogen (2H/1H) isotope compositions of fresh water and water samples distilled from moss tissue. Full details about this dataset can be found at https://doi.org/10.5285/1e57032c-327a-49c7-bb2e-43921dc116e2

This dataset contains modelled outputs of the European river network modelled as 33,668 cells (5° longitude by 5° latitude). For each cell, modelled monthly flows were generated for an ensemble of tenscenarios for the 2050s and for the study baseline (naturalized flows for 1961 to 1990). Score classes are categorisation of flow alteration scenarios. Full details about this dataset can be found at https://doi.org/10.5285/d8ef71eb-3d22-4f98-af15-9d8e046ccb63