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  • The file contain groundwater level/depth (WL), Groundwater and Surface Water Quality data (EC (micro-siemens per centimetre or µS/cm), Temperature (°C) and pH) for 49 points under fortnightly monitoring relevant to Gro for GooD research project in Kwale County, Kenya. Blank - Data not available. Gro for GooD: Groundwater Risk Management for Growth and Development

  • The mechanical data (confining and injection pressures) recorded during Vickers indentation experiments on samples of shale materials. These experiments were conducted on the I12 beamline, Diamond Light Source, Harwell as part of beamtime EE17606-1 between 31/01/18 and 05/02/18.

  • This dataset was acquired as part of a NERC-funded Doctoral Training Partnership (DTP) PhD Studentship at the University of Leicester and British Geological Survey between 2014-2018 [grant no. NE/L002493/1] (see also Emmings, 2018 unpublished PhD thesis). This research was conducted within the Central England NERC Training Alliance (CENTA) consortium. This dataset accompanies a manuscript titled "Late Palaeozoic Phytoplankton Blackout: A 100 Myr Record of Enhanced Primary Productivity". Co-authors and co-workers were: Joseph F. Emmings (University of Leicester, British Geological Survey); Sarah J. Davies (University of Leicester); Simon W. Poulton (University of Leeds); Michael H. Stephenson (British Geological Survey); Gawen R. T. Jenkin (University of Leicester); Christopher H. Vane (British Geological Survey); Melanie J. Leng (British Geological Survey, University of Nottingham) and Vicky Moss-Hayes (British Geological Survey). Nick Riley (Carboniferous Ltd) is thanked for sharing biostratigraphic expertise and assistance. Nick Marsh and Tom Knott are thanked for providing assistance during geochemical analyses. This dataset contains the following data (in Microsoft Excel format). 1) Fe species abundance data measured at the University of Leeds using the sequential extraction method of Poulton and Canfield (2005) and pyrite S extraction method of Canfield et al., (1986); 2) Total Fe, Si, Mn and Al major element concentrations (measured using x-ray fluorescence at the University of Leicester; XRF); 3) Total organic carbon (TOC) and inorganic C (MINC) data measured via Rock-Eval pyrolysis at the British Geological Survey; 4) Cu, Mo and U trace element concentration data (measured via XRF at the University of Leicester) and enrichment factors relative to Post-Archaean Average Shale (PAAS; Taylor and McLennan, 1985). Analyses were coupled on 99 sample powders from three positions in the Craven Basin and spanning ammonoid biozones P2c-d to E1c1. See also for additional sedimentological and geochemical data from Hind Clough, MHD4 and Cominco S9. These data were also interpreted together with 20 drill-core samples previously acquired from Hind Clough (‘HC01’ prefix). See for further information regarding this drill-core dataset. References: Emmings, J. 2018. Controls on UK Lower Namurian Shale Gas Prospectivity: Understanding the Spatial and Temporal Distribution of Organic Matter in Siliciclastic Mudstones. Unpublished PhD Thesis. University of Leicester. Poulton, S. W. & Canfield, D. E. 2005. Development of a sequential extraction procedure for iron: implications for iron partitioning in continentally derived particulates. Chemical Geology 214, 209-221, doi: Canfield D., Raiswell R., Westrich J., Reaves CM, Berner RA. 1986. The use of chromium reduction in the analysis of reduced inorganic sulfur in sediments and shales. Chemical Geology, 54(1): 149-155. Taylor S, McLennan S. 1985. The Continental Crust: Its Composition and Evolution. Blackwell Scientific: London.

  • 120 samples of 57 tephra layers identified at IODP Expedition 350 sites (U1436 and U1437) were used in grain size analysis. Some layers have one grain size measurement, others have multiple measurements throughout the tephra layer.

  • The dataset has been published open-access in Ilyinskaya et al. (2017), Earth and Planetary Science Letters, 472, 309-322 This study quantifies the air quality impact of Holuhraun eruption 2014-2015 on populated areas in Iceland. Specifically we trace the evolution of the plume chemistry from the eruption site to 2 key areas of population: Reykjahlid, which is the nearest municipality to Holuhraun at 100 km distance, and Reykjavik capital area, which hosts ~60% of Iceland's population, 250 km distance. This dataset is the full chemical analysis of filter pack samples of volcanic gas and aerosol, including trace species (e.g. heavy metals).

  • In this submission we Include three data sets collected as part of a NERC Urgency programme. Data were collected from a key field site within the Marlborough Fault Zone (MFZ), New Zealand. The Mw 7.8 Kaikoura Earthquake of 14th November 2016 was characterised by a surprising degree of spatial complexity in the surface displacement field in the Marlborough region, South Island, New Zealand. This complexity includes movement on up to 12 faults, besides a high degree of variability in apparent slip along strike of individual faults over relatively short distances. The Urgency programme included rapid collection of Terrestrial Laser Scanning (TLS), Structure from Motion (SfM) and Global Navigation Satellite System (GNSS) data immediately after this event. We include data for one of our field sites for which data collection succeeded, and processing has been completed. For a summary of the key initial findings from this data set, see the following EGU 2018 Abstract and summary:

  • Whole rock geochemical data from the Alpine Fault Zone. These data have been generated from systematic sampling through the Deep Fault Drilling Project - Phase 1 rock cores and from analyses of cuttings retrieved during the Deep Fault Drilling Project - Phase 2. Geochemical analyses on the fault rocks to understand the conditions at which they were deformed. The dataset is associated with the UK component of a major international campaign, the Deep Fault Drilling Project (DFDP). to drill a series of holes into the Alpine Fault, New Zealand. The overarching aim of the DFDP to understand better the processes that lead to major earthquakes by taking cores and observing a major continental fault during its build up to a large seismic event.

  • The table contains the list of samples, including location, collected during 2016 field campaign in Vanuatu. Samples include lavas, xenolith (mantle and crustal), scoria, pumice and coral from Esperitu Santo, Efati, Tanna, Ambae, Maewo, Gaua and Vanua Lava. The physical collection is in School of Earth Sciences, University of Bristol.

  • Output from the FAMOUS General Circulation Model presented in the study by Dentith et al. (2018) "Ocean circulation drifts in multi-millennial climate simulations: the role of salinity corrections and climate feedbacks". The following ocean variables are included at model resolution (2.5 ° x 3.75 °): salinity, meridional overturning streamfunction, potential temperature, mixed layer depth, and barotropic streamfunction. Precipitation, evaporation and sea ice concentration data are also included at atmospheric resolution (5 ° x 7.5 °). All data has been processed into netCDF timeseries.

  • 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, (