This dataset consists of palaeoecological measurements taken at sites in the Peak District and NW Sutherland during the NERC Rural Economy and Land Use (RELU) programme. This data collection includes the results from four interlinked projects combining quantitative and qualitative evidence to assess long-term ecological data at local to national levels: Project 1 synthesises existing information on historical environmental changes in the uplands with relevance to current management and policy Project 2 used high resolution palaeoenvironmental analyses to reconstruct ecological changes and land-use histories of four contrasting moorland systems in the Peak District (England) over the last c.200-1300 yrs. Sites were selected in consultation with stakeholders and the results provide the basis for comparison with ecological survey results and knowledge of current managers. Project 3 used similar methods to reconstruct ecological and land-use changes in NW Sutherland (Scotland) over the last c.400 yrs. Site selection was based on discussion with stakeholders and results were compared with stakeholder knowledge and preferences for landscape change. Project 4 used three choice experiments to assess the response of different communities to long-term evidence as a potential source of information to inform preferences for upland management. Project 4a used a choice experiment to assess the influence of long-term evidence on management preferences of residents of the Peak District. Project 4b used choice experiments to present long-term evidence to ecologists from government, NGO, research and practitioner communities in conjunction with established sources of ecological evidence used in upland management (ecological monitoring and ecological research) and with stakeholder preferences for upland management, since this is increasingly becoming embedded in decision-making. The upland woods and peatlands were used as the contexts for two choice experiments. This dataset consists of palaeoecological measurements taken at sites in the Peak District and NW Sutherland, as part of projects 2 and 3 as listed above. The choice experiment data from this study are available at the UK Data Archive under study number 6791 (see online resources). Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see online resources).

This data was collected as a part of the UK CCS Research Centre Call 2 Project C2-197: Multi scale characterisation of CO2 Storage in the United Kingdom. This is tabular data and X-ray imagery of drainage and imbibition relative permeability measured on reservoir rocks from the S. North Sea, N. North Sea, and E. Irish Sea of the Offshore UK. The data were obtained through measurements made at two distinct flow rates to allow for an evaluation of the impact of rock heterogeneity. Full details of the rock properties and experiments can be found in Reynolds et al. (2018) reference 3 below, the Final Report of the Project, as well as in the PhD Thesis of Catriona Reynolds with full references given below. Any use of the data should reference the journal article, reference 3 below. Geographical Area - Bunter sandstone in S. North Sea, Cleethorpes-1 Well, 1312.7-1316.1 m depth; Ormsirk sandstone in E. Irish Sea, Block 110/2a, 1247.9-1248.1 m depth; Captain sandstone in N. North Sea, Well 14/29a-3, 2997.6-3005.1 m depth. References 1. Imperial College London and British Geological Survey, Multiscale Characterisation of CO2 Storage in the United Kingdom, UKCCSRC Call 2 Project Final Report, 2016 2. Reynolds, C. Two-phase flow behaviour and relative permeability between CO2 and brine in sandstones at the pore and core scales, PhD Thesis, 2016, Imperial College London. 3. Reynolds, C.A., Blunt, M.J., Krevor, S. 2018, Multiphase flow characteristics of heterogeneous rocks from CO2 storage reservoirs in the United Kingdom, Water Resources Research, 54, 2, 729-745

Data supporting the publication: Robin N. Thomas, Adriana Paluszny, Robert W. Zimmerman, 2017. Quantification of fracture interaction using stress intensity factor variation maps. Journal of Geophysical Research: Solid Earth [DOI: 10.1002/2017JB014234]. Each sheet contains the data used in each figure, covering method validation, stress intensity factor perturbations, and data used to create fracture interaction maps. The data were created using the Imperial College Geomechanics Toolkit.

UKCCSRC Call 2 Project C2-199. Datasheet providing detailed stream information pertaining to an Ionic Liquids (IL)-based CCS process. This data arises from a process model developed at Imperial College London.

The data set encompasses the data generated through the 8 experimental runs on the 25 kWth calcium looping pilot plant at Cranfield University arranged into 8 functional Excel spreadsheets. The operational data are gathered by the acquisition with Labview software (the composition of the gas from the calciner and carbonator; temperatures of the electrical furnaces on the preheating lines and around the calciner; temperatures of the gas in the preheating lines and in the calciner) and Pico software (temperatures in the carbonator and lower loop seal and pressures in the calciner and in the carbonator). Moreover, the data from the experimental diary (inputs of gasses and solids into the rig) and the data from the post-processing of the extracted solids are included. All the data are combined into comprehensible charts that describe and explain the experimental runs together with the mass and energetic model of the system during steady state operations.

Pulleniatina U1486 coiling sequence. Grant abstract: This grant supports the participation of UK scientists Professor Paul Pearson in Expedition 363 of the International Ocean Discovery Program which plans to study the history of the 'Indo-Pacific Warm Pool' over the last 15 million years. It includes costs to cover his time while on board ship (2 months at sea) and post-expedition scientific study. Sea surface temperatures exceed 28oC across a huge area of the tropical western Pacific and Indian Oceans. Known as the Indo-Pacific Warm Pool (IPWP), this area is fundamental to the global atmospheric circulation and hydrologic cycle. The IPWP is intensifying with global warming, but modelling its likely future is challenging. Expedition n363 aims to study its temperature and climatic history over the past 15 million years, including through glacial to interglacial climate cycles and back to the globally warm Miocene epoch. Understanding its past history will help determine if its current temperature is near to its likely maximum or if global warming can cause much greater intensification in the future. Professor Pearson is a specialist in the study of microscopic fossils called planktonic foraminifera. He will study the evolution of the ocean plankton in the region over the study period, in relation to climatic change and sea level fluctuations which greatly affect the distribution of land masses and shallow seas and hence ocean current patterns. The foraminifera are also used to determine the age of the sediments drilled (called biostratigraphy) and providing other expedition scientists with a high quality planktonic foraminifer biostratigraphy will be one of the main features of this project. In additional there is a particular focus on an evolutionary lineage of foraminifera called Pulleniatina which has considerable untapped potential for stratigraphic work and also as a case study in the detailed speciation and extinction of a group of plankton. Study of this group will be facilitated by the large populations and varying morphology exhibited by them and because, like snails, they can be left or right handed and the pattern of coiling through time and across space is highly complex and potentially very informative.

This dataset provides the linepacking times that have been generated for a set of pipeline dimensions, flow rates, lengths and pressure conditions. This work has been funded by the UK Carbon Capture and Storage Research Centre within the framework of the FleCCSnet project (UKCCSRC-C1-40). The UKCCSRC is supported by the EPSRC as part of the Research Councils UK Energy Programme (https://doi.org/10.1016/j.ijggc.2017.06.002). This dataset forms the basis of the work and analysis presented in the paper: Aghajani, H, Race, JM, Wetenhall, B, Sanchez Fernandez, E, Lucquiaud, M & Chalmers, H 2017, 'On the potential for interim storage in dense phase CO2 pipelines' International Journal of Greenhouse Gas Control.

Simplified reservoir models are used to estimate the boundary conditions (pressure, temperature and flow) that are relevant to the primary aims of this project. A set of boundary conditions are defined at the wellhead that represent the behaviour of the store. Data relates to publication: Sanchez Fernandez, E., Naylor, M., Lucquiaud, M., Wetenhall, B., Aghajani, H., Race, J., Chalmers, H. Impacts of geological store uncertainties on the design and operation of flexible CCS offshore pipeline infrastructure (2016) International Journal of Greenhouse Gas Control, 52, pp. 139-154. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978197316&doi=10.1016%2fj.ijggc.2016.06.005&partnerID=40&md5=d567f0e06f561613554a1f1c2e230194 DOI: 10.1016/j.ijggc.2016.06.005

The dataset worksheet contains a list of core samples taken during IODP Exp 350 and foraminifera-based data for selected samples. The work was started with the aim of reconstructing palaeoproductivity changes (namely surface-to-deep carbon isotope gradients and U/Ca measurements) over tephra layers in order to test the ‘ash fertilisation hypothesis’. However, the work has been temporarily halted given the on-board volcanologists ongoing concerns that the ash layers in the selected cores have been reworked and therefore are not primary. Because of the induration and silicification of the core samples at quite shallow depths in the core, the other aim of the project (to reconstruct palaeoceanographic changes from 16-0 Ma) was not possible. The spreadsheet contains a full list of samples and a list of samples that have been examined and analysed. The data worksheet contains the no. of Globigerinoides ruber (with weight), Oridorsalis umbonatus, Uvigerina spp. and Cibicidoides spp. specimens for specific samples. For selected samples, stable oxygen and carbon isotopes are given and a graph of the carbon isotopes vs depth in core is presented.

This dataset consists of tick sampling and microclimate data from Exmoor, Richmond and New Forest study sites; as well as ARCGIS risk maps that model tick abundance driven by climate surfaces and host abundance. Tick sampling data (91 files, each representing a day of sampling) indicate tick abundance (distinguishing larvae, nymphs, adult males and adult females), vegetation height, soil moisture, temperature and relative humidity. Static risk map files indicate modeled tick abundance: 251 landcover files for the three sites, as well as 36 ArcView map files. The study is part of the NERC Rural Economy and Land Use (RELU) programme. Many people take pleasure from activities in forests and wild lands in the UK and others are being encouraged to participate. Unfortunately, there are risks and one of the most insidious is the possibility (albeit tiny) of acquiring a disease from wild animals; for example, ticks can be vectors of the bacterial infection leading to Lyme Disease. Both diagnosis and treatment can be problematic so prevention of acquiring such disease is highly desirable. Surprisingly little is known about how best to warn countryside users about the potential for disease without scaring them away or spoiling their enjoyment. Answering such questions was the goal of this project, and required the integration of a diverse set of scientific skills, and an understanding of the views of those who manage countryside, those who have contracted zoonotic diseases and those who access the land. This project combined knowledge from three strands of work, namely risk assessment, risk perception and communication, and scenario analysis. The study sites were selected to provide a range of environmental conditions and countryside use. Peri-urban parkland, accessible lowland forest and heath and remote upland forest were chosen as represented by Richmond Park on the fringe of Greater London, the New Forest in Southern England, and Exmoor in South West England. The following additional data from this same research project are available at the UK Data Archive under study number 6892 (see online resources): Lyme disease risk perception data resulting from tick imagery vignette experiments, Lyme disease patient interviews and surveys, residents and countryside staff focus groups, forest manager interviews, and multiple scoring procedures of animal social representation; as well as Lyme and tick risk communication data resulting from interviews with organisations and content analysis of risk warning information leaflets, Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see online resources).