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Measurements of the aspect ratio of plagioclase grains in dolerites from sills. Photomicrographs (several per sample across each of the sills, at a magnification such that the long side of the field of view is 4.5mm long) are each accompanied by a drawing showing a pair of lines for each observable grain, giving the long and short axis of the grain intersection as viewed in thin section, together with a drawing showing only the long axes of each grain. A summary file provides the number of grains measured in each sample, together with the average aspect ratio, with 1σ uncertainties calculated using a bootstrap method. The grain size is reported for all grains measurable in the set of photomicrographs (in mm), and is taken as the length of the long axis for each grain intersection in thin section. The average grain size and the skew of the population is also provided. The choice of the area in each thin section to photograph and analyse was random, although any areas of late-stage alteration were avoided. This dataset is useful to anyone seeking to quantify plagioclase grain size in tabular mafic intrusions.
Fixed time lapse camera imagery with 15 minute interval during daytimes captured from Ben Donich (BNG: NN 2297 0637) looking towards the A83 Rest and Be Thankful / slope of Beinn Luibhean. Data were subsequently processed in https://doi.org/10.3390/rs13050893 for deformation tracking. There are data gaps during poor weather/outages, and, some camera shift requiring alignment.
Microscopy (Scanning Electron Microscopy, Cathodoluminescence Imaging) and U-Pb isotopic (Secondary Ionisation Mass Spectrometry) analyses of phosphate minerals in a suite of nine L chondrite meteorites (and one reference analysis of an LL chondrite). The dataset includes multiple SIMS spot analyses of phosphates in each meteorite, as well as images at multiple scales of all grains analysed. The data is reported and analysed in Walton et al., 2022 GCA.
Data collected as part of the NERC funded Radioactivity and the Environment (RATE), Long-lived Radionuclides in the Surface Environment (Lo-RISE), research consortium.This data comes from the terrestrial workstream group based at the University of Manchester. The data consists of radionuclide measurements of environmental and biological samples including uranium (238), thorium (232) and radium (226), and soil subsurface and surface biota bioprospecting (plants and AM fungi). The data from this first dataset has been published in the following publication: Davies et al. (2018) Multiple environmental factors influence 238U, 232Th and 226Ra bioaccumulation in arbuscular mycorrhizal-associated plants. Science of the Total Environment 640-641:921-934.
The data set consists of rock samples collected from Coquetdale, Coldstream and Whitrope Burn from 2013-2014; milled material is included. There is an Excel spreadsheet of sample numbers with location, sample height on log, d13C data and %C. There are scans of field logs from Coquetdale, Coldstream and Whitrope Burn, and Illustrator drawn logs from Coldstream which include samples collected at a later date. Scans of thin sections are also included. (thin sections to be kept at Leicester for the time being – still being worked on for papers.) Each locality folder has an Excel spreadsheet detailing samples, sample height, %C and bulk and specific d13C values. These data were used to interpret the environment in which early tetrapods have been found in the early Carboniferous. These data supported the MPhil thesis 'In an alternating marine and non-marine depositional setting, where and how are early Carboniferous tetrapods preserved?' by Sherwin, 2018, and one publication including data from Whitrope Burn - Richards et al., 2018, (https://doi.org/10.1017/S1755691018000166).
Scanned and annotated thin sections, in plane-polarised and cross-polarised light. Derivative statistical data for mineral grainsize and spatial distribution. Younger Giant Dyke, Tugtutoq, South Greenland.
Scanned and annotated thin sections, in plane-polarised and cross-polarised light. Derivative statistical data for mineral grainsize and spatial distribution.