Technical report (2009) commissioned by Christian Aid and written by researchers from the University of Edinburgh and the University of Surrey. It aims to explore the prospects for carbon capture and storage (CCS) to play a significant role within global action to mitigate the risk of climate change, with a focus on India. Available for download at http://hdl.handle.net/1842/15679.

This dataset relates to the scientific journal article "A pilot-scale study of dynamic response scenarios for the flexible operation of post-combustion CO2 capture" (Tait et al. 2016), a study which was funded as part of the call 2 project "Towards more flexible generation with CCS". Pilot plant data from five dynamic scenarios for post-combustion capture on a state-of the-art NGCC plant (circa 2015) are included. The output from a novel solvent sensor, which can provide continuous online measurement of solvent CO2 loading is also included for several scenarios. The article can be found at: http://dx.doi.org/10.1016/j.ijggc.2015.12.009. More information on the project is available at https://ukccsrc.ac.uk/resources/ccs-projects-directory/towards-more-flexible-power-generation-ccs-pilot-plant-test

A selection of abstracts and posters presented at international conferences as part of EPSRC Grant #EP/K036033/1.

This Microsoft Excel document contains 8 worksheets providing data produced by research as part of EPSRC Grant #EP/K036033/1. These data are presented and discussed in the manuscript "The Inherent Tracer Fingerprint of Captured CO2." by Flude, S. Györe, D., Stuart, F.M., Zurakowska, M., Boyce, A.J., Haszeldine, S., Chalaturnyk, R., and Gilfillan, S. M. V. (Currently under review at IJGGC). Data include samples collected, gas concentrations, stable isotope data and noble gas data. This data relates to publication https://doi.org/10.1016/j.ijggc.2017.08.010.

Contains 6 SCCS technical briefings, technical letters and technical journal responses - Working Paper 2010-04: Popular response to Economides, CO2 storage is feasible; Working Paper 2010-05: Formal response to Economides, CO2 storage is feasible; Working Paper 2010-07: Comment on Little and Jackson: Potential Impacts of Leakage from Deep CO2 Geosequestration on Overlying Freshwater Aquifers; Working Paper 2012-01: Comment by Stuart Haszeldine on Zoback and Gorelick; Working Paper 2014-01: Sleipner CO2 securely stored deep beneath seabed, in spite of unexpected Hugin fracture discovery; Working Paper 2015-02: Carbon Dioxide Transport Plans for Carbon Capture and Storage in the North Sea Region - A summary of existing studies and proposals applicable to the development of Projects of Common Interest.

This dataset contains data on temperature and tritrophic phenology collected across 44 sites in Scotland for the period 2014 – 2021. Each site was visited every two days through the spring. The phenology of first budburst and leaf out of approx. 700 marked trees was recorded. Every four days marked branches were beaten and data was collected on the number of caterpillars (and spiders and beetles). Data on the breeding phenology (first egg date, hatch date) and breeding success of blue tits was recorded at 4-8 nestboxes per site. This work was supported by Natural Environment Research Council grant NE/P011802/1. Full details about this dataset can be found at https://doi.org/10.5285/b63d53ae-2fe7-4ce9-82a2-2325098489e3

This collection comprises two time-series of 3D in-situ synchrotron x-ray microtomography (μCT) volumes showing two Ailsa Craig micro-granite samples (ACfresh02 and ACHT01) undergoing triaxial deformation. These data were collected in-situ at the PSICHE beamline at the SOLEIL synchrotron, Gif-sur-Yvette, France in December 2016 (standard proposal 20160434) and are fully explained in Cartwright-Taylor A., Main, I.G., Butler, I.B., Fusseis, F., Flynn M. and King, A. (in press), Catastrophic failure: how and when? Insights from 4D in-situ x-ray micro-tomography, J. Geophys. Res. Solid Earth. Together, these two time-series show the influence of heterogeneity on the micro-crack network evolution. Ailsa Craig micro-granite is known for being virtually crack-free. One sample (ACfresh02) remained as-received from the quarry until it was deformed, while the second (ACHT01) was slowly heated to 600 degC and then slowly cooled prior to deformation in order to introduce material disorder in the form of a network of nano-scale thermal cracks. Thus these two samples represent two extreme end-members: (i) ACfresh02 with the lowest possible (to our knowledge) natural pre-existing crack density, and so is a relatively homogeneous sample and (ii) ACHT01 with a thermally-induced nano-crack network imprinted over the nominally crack-free microstructure, and therefore has increased heterogeneity relative to ACfresh02. Each 3D μCT volume shows the sub-region of each sample in which the majority of damage was located and has three parts. Part one is reconstructed 16-bit greyscale data. Part two is 8-bit binary data showing individual voids (pores and micro-cracks) in the dataset after segmentation. Part three is 32-bit data showing the local thickness of each void, as in Cartwright-Taylor et al. (in press) Figures 4 and 5. Each part is a zip file containing a sequence of 2D image files (.tif), sequentially numbered according to the depth (in pixels, parallel to the loading axis) at which it lies within the sample volume. File dimensions are in pixels (2D), with an edge length of 2.7 microns. Each zip file is labelled with the sample name, the relevant letter for each 3D volume as given in Cartwright-Taylor et al. (in press) Tables 3 and 4, part 1, 2 or 3 (depending whether the data are greyscale, binary or local thickness respectively), the differential stress (MPa) on the sample, and the associated ram pressure (bar) to link with individual file names. The following convention is used: sample_letter_part_differentialstress_rampressure_datatype. Also included are (i) two spreadsheets (.xlsx), one for each sample, containing processing parameters and the mechanical stress and strain at which each volume was scanned, and (ii) zip files containing .csv files containing measurement data for the labelled voids in each volume. N.B. void label numbers are not consistent between volumes so they can only be used to obtain global statistics, not to track individual voids.

This dataset contains phenological records (timing of life events such as the opening of flowers) for tundra plant species from eight 2x2m monitoring plots. Plots are from two distinct vegetation communities (Herschel, Komakuk, coded in the data as HER and KOM). Plots were established in 2016 and monitored in 2016 and 2017. Data are presented as phenological stages for each monitored plant individual at survey dates across the 2016 and 2017 growing seasons. Flower stalk length, leaf length and new growth length were measured in mm. Active layer depth was measured in cm and was recorded at the corner of each 2x2 m plot. Soil moisture was measured as a percentage. Funding was provided by the NERC grant NE/M016323/1.

This dataset contains the percentage cover of plant species, bare ground and litter from twelve 1x1m vegetation monitoring plots. Plots are from two distinct vegetation communities (Herschel, Komakuk) approximately 500m apart. Plots were established in 1999 and monitored in 2004, 2009, 2013, 2014, 2015, 2016 and 2017. Data is presented as total percentage cover per species (not relative cover). Funding was provided by the NERC grant NE/M016323/1.

This dataset includes information on native eyebright plants (Euphrasia, Orobanchaceae) studied and measured at a range of sites across Britain and Ireland, with a special sampling focus on Fair Isle (Shetland, Scotland). Attributes measured are location information (Euphrasia species, coordinates and population description), individual plant trait data (including measures of floral and vegetative traits) and genome sizes. Full details about this dataset can be found at https://doi.org/10.5285/0a77d3b5-03ce-4a14-ab2d-acc4aa7bd0ef