The file contain data for local meteorology , soil and cave temperatures and groundwater drip rates measured in sea Michaels and Ragged Staff caves, Gibraltar. Meteorological data were recorded at the RAF Meteorological Office located 3 km away from the cave. The locations of environmental monitoring sites are described in Mattey et al. (2010) The cave monitoring, sampling and analysis program obtained data via continuous logging. Reference. MATTEY, D.P., Fairchild, I.J., Atkinson, T.C., Latin, J.P., Ainsworth, M., Durell, R., 2010. Seasonal microclimate control of calcite fabrics, stable isotopes and trace elements in modern speleothem from St Michaels Cave, Gibraltar, In Tufa and Speleothem pp. 323-344.

The data contain the results of model of a conductively cooling planetesimal with a radius of 250 km and a core radius of 125 km. Two data files are included: one for a model run which uses constant values for thermal properties (conductivity, heat capacity, and density) while the second uses temperature-dependent functions for these properties. Further details of the model in Murphy Quinlan et al., (in prep). Four arrays are included in each of the compressed data files: mantle temperature array; core temperature array; mantle cooling-rate array; core cooling-rate array. All arrays are the same size (125 by 126229) and hold data for radii values through time, with a radius-step of 1 km and time-step of 1E11 seconds over a total time period of 400 Myr.

The datasets include the results of microcosm experiments documenting the generation of hydrogen gas, hydrogen peroxide and dissolved iron from silicate rocks and pyrite at zero deg C after they have been 'flash heated' to different temperatures. The data is in excel format. This data is from an upcoming publication, Flash Heating Boosts the Potential for Mechanochemical Energy Sources for Subglacial Ecosystems' Stone, Jordan., Edgar, John O., Rutherford, Johnny., Gill-Olivas, Beatriz, Tranter, Martyn., Gould, Jamie A., Xavier, Cijo M. & Telling, Jon. Submitted to Frontiers in Geochemistry.

A geographic information system (GIS) heat flow and temperature model of East Africa created by extracting data from open sources into a series of shapefiles and rasters containing information on geothermal sites, hot spring locations, digital elevation model, surface temperature, geothermal gradients, thermal conductivities and heat flow data, major faults, surface geology, crustal basement, electrification grid system and population density across East Africa. This data is stored in the World Geodetic System (WGS) 1984 Geographic Projection System.

This dataset provides the first map and synthesis of the temperature of Britain's coalfields. It was created to support low-temperature heat recovery, cooling and storage schemes using mine water in abandoned workings. This baseline spatial mapping and synthesis of coalfield temperatures offers significant benefit to those planning, designing and regulating heat recovery and storage in Britain's abandoned coalfields. The data has been developed jointly by the Coal Authority and the British Geological Survey. It is delivered as a hexgrid representing mine water blocks, identifying equilibrium mine temperatures at 10 depth intervals (100m > 1000m) and pumped mine temperatures at 6 depth intervals (100m > 600m).

The dataset contains climate data (Humidity, Rainfall, Rainfall Rate, Dewpoint, Atmospheric Pressure, Temperature, Wind Direction, Wind Gust, Wind Chill, Solar Radiation, Windspeed, Heat Index, UV & UVI) at daily temporal resolution from Maplin Professional Solar Powered Wi-Fi Weather Stations installed at Munje and Galu within the study area.

These data contain the shear modulus and attenuation of Vermont antigorite serpentinite in the seismic "low" frequency range, as functions of oscillation period (ranging from 1 to 1000s) and temperature during staged cooling from 550 degrees C down to room temperature, at a confining pressure of 200 MPa. This dataset is used and fully described/interpreted in the paper: David, E.C., N. Brantut, L.N. Hansen and I. Jackson, Low-frequency measurements of seismic velocity and attenuation in antigorite serpentinite, submitted to Geophys. Res. Lett.

Cyclic loading stress-strain data in polycrystalline antigorite serpentinite, at various confining pressures and temperatures. This dataset is used and fully described/interpreted in the paper: David, E.C., N. Brantut, and G. Hirth, Sliding crack model for non-linearity and hysteresis in the triaxial stress-strain curve of rock, and application to antigorite deformation, submitted to J. Geophys. Res. Overview Rock type Vermont antigorite-rich (>95%) serpentinite. See submitted paper for details. The sample is isotropic. Apparatus Oil-medium triaxial apparatus (Rock Physics Ensemble, University College London). For description, see David el al. (2018), Absence of stress-induced anisotropy during brittle deformation in antigorite serpentinite, J. Geophys. Res., 123, 10616-10644. Griggs-type solid medium apparatus (Brown University). For description, see David, E.C., N. Brantut, and G. Hirth, Sliding crack model for non-linearity and hysteresis in the triaxial stress-strain curve of rock, and application to antigorite deformation, submitted to J. Geophys. Res., and references therein. Files description 1-existing data from David et al., JGR, 2018: The text file "Vermont-antigorite-roomT-150MPa-stress-strain-cyclicloading-UCLtriax" gives the axial stress (in direction 1, see submitted paper) and the axial strain (in percent, in direction 1, see submitted paper), at room temperature and 150 MPa confining pressure, in the oil triaxial apparatus at UCL. The mechanical data (stress, strain) have been corrected from internal friction and machine stiffness, respectively. The data are from David el al. (2018), Absence of stress-induced anisotropy during brittle deformation in antigorite serpentinite, J. Geophys. Res., 123, 10616-10644. 2-new data: The text file "Vermont-antigorite-roomT-1000MPa-stress-strain-cyclicloading-Griggsapparatus" gives the axial stress (in direction 1, see submitted paper) and the axial strain (in percent, in direction 1, see submitted paper), at room temperature and 1000 MPa confining pressure, in Griggs solid medium apparatus at Brown University. The mechanical data (stress, strain) have been corrected from internal friction and machine stiffness, respectively. The text file "Vermont-antigorite-400C-1000MPa-stress-strain-cyclicloading-Griggsapparatus" is the equivalent of the file described just above at a temperature of 400C. The text file "Vermont-antigorite-500C-1000MPa-stress-strain-cyclicloading-Griggsapparatus" is the equivalent of the file described just above at a temperature of 500C.

This is a daily weather dataset that was produced to support hydrological modelling of the Thames catchment including use of the JULES land surface model https://jules.jchmr.org/ . It contains daily values of each of seven weather variables: air pressure, precipitation, wind speed, air temperature, wet bulb temperature, short wave radiation and cloud cover. The dataset was developed from the Met Office Integrated Data Archive System (MIDAS) to enable the calibration of multisite, multivariate weather generators that could be used to provide inputs to JULES using the Rglimclim software package (http://www.homepages.ucl.ac.uk/~ucakarc/work/glimclim.html). The inputs were to be provided both at the station locations, and over a 5x5km2 grid located over the Kennet subcatchment. Topographic and other relevant information is provided for all relevant locations. The weather data contain many missing values: no attempt has been made to restore or interpolate these, since (a) the amount of missing data is so large that any interpolation exercise could have induce substantial biases in the final results of the hydrological modelling (b) Rglimclim does not require complete data records to produce a coherent weather generator.

Groundwater level and groundwater temperature data measured in 9 boreholes between August 2012 and August 2018. Groundwater conductivity data measured in 1 of these boreholes from September 2012 to August 2014. Eight of the boreholes are drilled into a sandur (glacial outwash floodplain) aquifer in front of Virkisjokull glacier, SE Iceland, and are between 8.2 and 14.9 m deep. The remaining borehole is drilled into a volcanic rock aquifer between the sandur and glacier and is 5.1 m deep. Selected groundwater monitoring data are reported in Ó Dochartaigh, B. É., et al. 2019. Groundwater?- glacier?meltwater interaction in proglacial aquifers, Hydrol. Earth Syst. Sci. https://doi.org/10.5194/hess-2019-120. Further information on borehole installations and geology can be found in Ó Dochartaigh et al. 2012. Groundwater investigations at Virkisjokull, Iceland: data report 2012. British Geological Survey Open Report OR/12/088, http://nora.nerc.ac.uk/id/eprint/500570/