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The dataset consists of daily rainfall data for 23 manual rain gauge stations installed by Gro for GooD project within and about the study area. The installed stations covering four river catchments name Ramisi River, Mukurumudzi River, Mtawa River and Mwachema River in Kwale County. The dataset period is from January 2016 to November 2018. Gro for GooD: Groundwater Risk Management for Growth and Development
Data derived from NERC grant NE/I024127/1 1) 36Cl data and supporting chemistry. This folder contains the 36Cl concentration data, data on sample locations on fault planes, major and trace element concentrations, and similar data for upper slope samples. 2) Depth versus density data for trenches in colluvium. This folder contains measurements of weights and volumes of colluvial material removed from trenches for some of the 36Cl sites. These data are used to calculate colluvial densities to inform modelling of the 36Cl data. 3) Field Site Documentation. This folder contains field data and field photographs and movies of the sample sites. It also contains a file that summarises interpretations of the data in this folder, to provide numerical values needed to support modeling the 36Cl data to recover fault slip histories. 4) Google Earth Files to locate sample sites. This folder contains kmz files for Google Earth to locate the sample sites. 5) Terrestrial LiDAR data for each 36Cl sample sites. This folder contains Terrestrial LiDAR data (from a LiDAR on a tripod).
Isotopic geochemical analysis of volcanic samples from across Ethiopia. Data are referenced in Hutchison et al., 2018: The evolution of magma during continental rifting: New constraints from the isotopic and trace element signatures of silicic magmas from Ethiopian volcanoes; https://doi.org/10.1016/j.epsl.2018.02.027
Image data published in AGU paper "Estimation of Capillary Pressure in Unconventional Reservoirs Using Thermodynamic Analysis of Pore Images". The images of unconventional shale rock pores were captured using nano-CT and SEM imaging methods. Images are segmented into fluid (or pore) and rock phases and are stored in RGB format as JPG files. Images were used to produce the plots and data presented in the above referenced paper.
Petrological and geochemical analysis of samples from Aluto volcano, Ethiopia. Data are referenced in Gleeson et al., 2017: Constraining magma storage conditions at a restless volcano in the Main Ethiopian Rift using phase equilibria models; https://doi.org/10.1016/j.jvolgeores.2017.02.026.
Tephra layer summary for Lake Abijata and Lake Langano cores, Ethiopia. Data are referenced in McNamara et al., 2018: Using Lake Sediment Cores to Improve Records of Volcanism at Aluto Volcano in the Main Ethiopian Rift; https://doi.org/10.1029/2018GC007686
This dataset presents major (ICP-OES) and minor (ICP-MS) element data and fluid pH during interaction of simulated fracturing fluids with the Bowland-Hodder shale at a variety of conditions, i.e. fluid acidity (pH 1-5), temperature (25-70 C), and rock/fluid ratio (from 0.2:200 to 20:200), as well as two end member mineralogical compositions (from 618 m depth and 673 m depth). The data was collected under the SECURe (Subsurface Evaluation of CCS and Unconventional Risks funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement number 764531. Data supplied by permission of University of Nottingham and British Geological Survey.
The file contain groundwater level/depth (WL), Groundwater and Surface Water Quality data (EC (micro-siemens per centimetre or µS/cm), Temperature (degrees C) and pH) for 49 points under fortnightly monitoring relevant to Gro for GooD research project in Kwale County, Kenya. Blank - Data not available. Note this is same dataset as NGDC record number 118189 with extended time series. Gro for GooD: Groundwater Risk Management for Growth and Development
Sediment % coarse fraction (>63 microns), and abundance of fish teeth in coarse fraction. 2016 has been a record breaking year in terms of global temperatures. The high temperatures have resulted from a combination of elevated atmospheric pCO2 coupled with the global impacts of a strong El Nino event. There are many important components of the climate system, and the El Nino phenomenon demonstrates the importance of the low latitude Pacific Ocean. The warm pool of water in the western Pacific Ocean has not always had the same characteristics as it has today, and it has been proposed that its evolution over the past 15 million years has had a major impact on global climate. In order to understand how the warm pool might respond to future climate change, it is important to understand the drivers behind its past evolution. Did it respond simply to the changing shape of ocean basins through time? Or did it respond to other components of the climate system, such as sea level or latitudinal temperature gradients? The changes in warm pool structure may also have impacted the biological ecosystems, and hence the cycling of carbon in this region. The carbon cycle is another key component of the Earth's climate system. Understanding the causes and consequences of these long-term changes in the Pacific warm pool requires a two-pronged approach, using modelling in conjunction with proxy records for different parts of the climate system. This proposal aims to generate some key records of past high latitude temperature and ice volume that can be directly compared with changes in the warm pool through time. These records will be derived from geochemical analyses of microscopic marine fossils collected by the International Ocean Discovery Program (IODP).
The dataset contains information on the crystallographic orientation and on the grain size of minerals in the brittle-viscous shear zones. The methodology used to generate it is polarized light microscopy, scanning electron microscopy (SEM) and electron backscatter diffraction (EBSD)