The dataset contains measurements of temperature (°C) and light availability (Lux) in rivers in the Hampshire Avon catchment (UK). Six rivers within sub-catchments of contrasting geology (clay, sand, chalk) were investigated. The stream sites monitored were chosen to reflect a gradient of base flow index. Data were obtained via direct, field-based measurements every 15 minutes from February 2013 to (max) December 2014 with sensors tethered to the bed of the river at each site. Full details about this dataset can be found at https://doi.org/10.5285/9b6a6233-85ad-44f4-ba83-4905b8c48713
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.
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.
Temperature data were collected from a tidepool at Rothera Point, Antarctica every two minutes from February 1999 to May 2000, with the aim of documenting tidal, diurnal and seasonal variability.
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.
The dataset contains time series of dissolved oxygen dynamics and near-streambed light availability from selected riverine sites within the Hampshire Avon catchment (UK). Six rivers within sub-catchments of contrasting geology (clay, greensand, chalk) and associated river morphology were investigated. Data were obtained from field-based measurements in seasonal campaigns conducted between spring 2013 and winter 2014. Full details about this dataset can be found at https://doi.org/10.5285/c1f14c54-ffe1-4581-b479-897ff9262e98
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.
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.
Adventdalen is a medium-sized (513 km2) catchment in continuous permafrost zone of central Spitsbergen. It is an important study area, but the river is highly unsuitable for monitoring runoff on account of the high sediment yield and extremely unstable channel sections in the large delta. This necessitates the estimation of runoff volume through the application of a suitable model. Daily runoff was therefore simulated using daily precipitation and temperature data series (1991-2016) and the HBV model. Daily water temperature and electrical conductivity were also monitored at the point of interest to provide basic water quality parameters alongside the runoff quantity data. Funding was provided by the NERC grant NE/M019829/1.
Meteorological data acquired by Automatic Weather Station (AWS) located in the region of subglacial Lake Ellsworth. Data recorded includes wind speed, wind direction, temperature, pressure, humidity, and solar radiation.