The data consists of a spreadsheet containing rheology data for 39 samples of syrup, containing air bubbles and/or spherical glass particles. These data were used by Truby et al. (2014) to support a model for the rheology of a three-phase suspension. Each sample was placed in the rheometer (concentric cylinder geometry), and the stress was stepped up and then down, taking a measurement of strain rate at each step. Further details of the experiments may be found in Truby et al. (2014). NERC grant is NE/K500999/1. Co-author working with a NERC grant, NE/G014426/1.

Groundwater level measurements collected by the state groundwater boards of Punjab and Haryana states, India, and by the Central Groundwater Board. The data consist of well locations and measurements of groundwater levels, in metres below the top of the well casing. Data were collected in both the pre-monsoon (May-June) and post-monsoon (October-November) periods. Data availability is irregular across the entire suite of wells.

Neodymium (Nd) concentrations, Nd radiogenic isotopes (143Nd/144Nd) and Nd stable isotopes (d146/144Nd) for chondritic meteorites, terrestrial basalts and mantle rocks, and rock reference materials.

Data relates to the NERC Urgency Grant NE/R00210X/1 which focusses on Sediment signatures of the 25 December 2016 Chile earthquake to constrain detection limits of tidal marsh records. The documentation provides an overview of findings from two field seasons to the southern coast of Isla de Chiloé, Chile, including field observations, sediment samples and surface vegetation surveys. The research locations for diatom analyses are Ayentema, Asasao, Inio and Quilanlar, southern Chiloé, Chile. Field season 1 (excluding travel dates): 2-9 August 2017 Field season 2 (excluding travel dates): 6-16 October 2017 Diatom data collection: through to 30 June 2018

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.

Graphite software drawings of hydrothermal Atomic Force Microscopy (AFM) parts. Each part is on a different file. Complete housing assembly drawing shows stacking of all different part on assembled AFM. BMP files provided for quick browsing in the absence of graphite software.

Scanned and annotated thin sections, in plane-polarised and cross-polarised light. Derivative statistical data for mineral grainsize and spatial distribution.

Geomorphological map of the Sutlej and Yamuna fans, northwestern India. Grant abstract: India is the largest agricultural user of groundwater in the world. The last 40 years has seen a revolutionary shift from large-scale surface water management to widespread groundwater abstraction, particularly in the northwestern states of Punjab, Haryana and Rajasthan. As a result of this, northwestern India is now a hotspot of groundwater depletion, with 'the largest rate of groundwater loss in any comparable-sized region on Earth' (Tiwari et al., 2009). This unsustainable use of groundwater becomes even more challenging when set increasing demands from a burgeoning population and industrialisation, together with potential but poorly understood effects of climate-driven changes in the water cycle. There are a number of innovative socio-economic strategies that can address this issue, including enhanced recharge and subsurface water storage, but their implementation and success depend on solid regional understanding of the geology and hydrogeology of the aquifer systems, and of the patterns and rates of groundwater flow and recharge. What we know about regional groundwater resources comes largely from either low-resolution studies based on satellite data, or from local investigations; there has been no large-scale, cross-state integrated study of the groundwater system. Groundwater in northwestern India is thought to be largely hosted within buried, sandy former river channels, which extend from the Himalayas toward the southwest and are separated by fine-grained muds. Only a few channels are visible at the surface; most are buried and their existence must be inferred. Our approach is founded on the premise that we must first understand the geology and geometry of the aquifer system before we can hope to estimate the way it will respond to a complex set of future stresses. This means that we must be able to describe the locations, sizes, and characteristics of these channels as well as their age and three-dimensional pattern. Once these characteristics are determined, we can forecast the likely future behaviour of the system. In this proposal, we will provide, for the first time, a regional assessment of the aquifer system in northwestern India, along with models for its evolution under changes in the water cycle and in the way in which groundwater is used. Our project will combine expertise in sedimentology, stratigraphy, sediment routing and basin evolution, hydrology, and isotope geochemistry to understand the geological framework of the aquifer system, the ages of the groundwaters within it, and the ways in which groundwater levels are likely to evolve over the next 50 years. The outcomes of the proposal will include (1) a comprehensive data base that covers the northwestern Indian aquifer system, (2) much better understanding of regional sources, ages, and flow rates of groundwater, and (3) a suite of predictions for how the groundwater system will respond to a range of different future scenarios.

Tables of characteristic parameters for each model used in paper Agrusta et al. 2014, The effect of metastable pyroxene on the slab dynamics, DOI: 10.1002/2014GL062159 Tables of characteristic parameters for each model used in paper Agrusta et al 2017, Subducting-slab transition-zone interaction: Stagnation, penetration and mode switches, DOI: 10.1016/j.epsl.2017.02.005

1. Rainfall (0.2 mm tipping bucket), accelerometer (OEM) and extensometer (string potentiometer) data from 10 instruments deployed across ground cracks in Sindhupalchok, Nepal in the aftermath of the 2015 earthquake. Data is provided in *.csv format, to include for each instrument: date, rainfall, extension(raw/min/max/mean/std), x(raw/min/max/mean/std), y(raw/min/max/mean/std), z(raw/min/max/mean/std). 2. Shapefiles of landslide mapping in the Upper Bhote Kosi valley, Sindhupalchok, Nepal, Including immediately post-earthquake (pre-monsoon), and post-2015 monsoon.