This dataset contains vertical GPS time series observed from selected sites in the southern Antarctic Peninsula. The dataset contains raw time series and time series corrected for the effect of elastic deformation - induced from the RACMO surface mass balance (SMB) model with a 5.5 km horizontal resolution (van Wessem et al. 2018). Hence there are two time series files for each of ten sites, presented as CSV files. There is a README file which details the content of the files. Offsets and outliers of the time series are documented in a structured ASCII text file called tsview.renames.smb. This work is supported by the UK Natural Environment Research Council (NERC) grant NE/R002029/1.

The data includes the raw mechanical data (time, load, displacement, pore pressure, pore pressure volume and confining pressure) and the meaningful processed data used to plot figures and draw main conclusions (stress, strain, strain rate, pore volume change, effective mean stress, inelastic strain, yield points and Youngs modulus). In total 10 samples of Bleursville Sandstone were deformed under either constant strain rate or constant stress (creep) conditions and at room temperature, 75°C, 150 °C. Bleursville Sandstone is from Bleurville, Vosges, north-eastern France. This pale beige coloured sandstone has a starting porosity of 22.7%Used as clean, porous sandstone of homogenous nature. Data generated at University College London on a conventional triaxial apparatus. This dataset is used and fully described/interpreted in the paper: M. Jefferd, N. Brantut, P.G. Meredith and T.M. Mitchell, The Influence of Elevated Temperature on Time Dependent Compaction Creep in Sandstone , submitted to J. Geophys. Res.

This dataset provides catchment boundaries, hydro-meteorological timeseries and landscape attributes for 671 catchments across Great Britain. It collates river flows, river levels, groundwater levels, precipitation, potential evapotranspiration and temperature time series at monthly to hourly timescales. Daily hydro-meteorological timeseries are provided from 1st October 1970 - 30th September 2022, hourly hydro-meteorological timeseries are provided from 1st October 1990 09:00 to 1st October 2022 08:00, and groundwater level timeseries cover a range of time periods (ranging from 7 to 72 years with the earliest records beginning in the 1950s). A comprehensive set of catchment attributes are quantified describing a range of catchment characteristics including topography, climate, hydrology, land cover, soils, hydrogeology, hydrometry and human influences. Full details about this dataset can be found at https://doi.org/10.5285/9a46d428-958f-4ac1-86eb-94eee70c0955

This dataset contains rates of mass change and cumulative mass change and their associated uncertainty for the Antarctic Ice Sheet (in its entirety and split into West Antarctica, East Antarctica and the Antarctic Peninsula), the Greenland Ice Sheet, and their sum between 1992 and 2020. The data are reconciled estimates of mass balance from three independent satellite-based techniques: altimetry, gravimetry and input-output method. This dataset is part of the Ice Sheet Mass Balance Intercomparison Exercise (IMBIE). This work is an outcome of the Ice Sheet Mass Balance Inter-Comparison Exercise IMBIE) supported by the ESA Climate Change Initiative and the NASA Cryosphere Program. Andrew Shepherd was additionally supported by a Royal Society Wolfson Research Merit Award and the UK Natural Environment Research Council Centre for Polar Observation and Modelling (cpom30001).

This dataset consists of the time series of mass change of the Greenland Ice Sheet and its contribution to global sea level between 1980 and 2018 derived from satellite measurements. The dataset presented here is a reconciled estimate of mass balance estimates from three independent satellite-based techniques - gravimetry, altimetry and input-output method - and its associated uncertainty. This dataset is part of the Ice Sheet Mass Balance Inter-comparison Exercise (IMBIE). The total mass change as well as the partition between surface and dynamics mass balance are provided in this dataset. This work is an outcome of the Ice Sheet Mass Balance Inter-Comparison Exercise (IMBIE) supported by the ESA Climate Change Initiative and the NASA Cryosphere Program. Andrew Shepherd was additionally supported by a Royal Society Wolfson Research Merit Award and the UK Natural Environment Research Council Centre for Polar Observation and Modelling (cpom30001). ***** PLEASE BE ADVISED TO USE UPDATED DATA ***** The expanded data set (see 'Related Data Set Metadata' link below) has an additional 24 months of measurements, and also includes data for Antarctica.