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    The permeability of single fractures, pairs of conjugate fracture pairs, and 256 fracture networks, is numerically computed using a multi-scale permeability method. For fracture networks, the geometries of the files are contained in 3dm files. The results are presented in a series of json text files. The method to compute permeabilities is described in the PhD thesis entitled "Multi-scale modelling of thermohydro-mechanical-chemical processes in fractured rocks" by Philipp Lang, Imperial College London, supervised by Adriana Paluszny and Robert W. Zimmerman.

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    Revised dataset available here http://data.bgs.ac.uk/id/dataHolding/13607942 .This dataset comprises 655 borehole records and previously unanalysed pumping tests from across Uganda that were compiled from historical borehole records held within 9 district water offices. The dataset is a compilation of historical borehole records held within nine district water offices across Uganda. These data originated from numerous drilling campaigns undertaken by private contractors in each district to site and construct hand-pump borehole community water supplies between 2000 to 2018. In total over 1000 paper borehole records were initially collated and reviewed. This work was carried out over several months visiting the district water offices. Following a quality assurance procedure 655 records were transcribed to create a digital dataset. Each borehole record in the dataset contains a series of metadata alongside the pumping test data (e.g. pump depth, static water level, pumping rate and duration) including locational information (e.g. coordinates, water strike, borehole depth, borehole lithologies). The dataset is delivered as a series georeferenced site information within an MS Excel spreadsheet file.

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    This dataset comprises 655 borehole records and previously unanalysed pumping tests from across Uganda that were compiled from historical borehole records held within 9 district water offices. The dataset is a compilation of historical borehole records held within nine district water offices across Uganda. These data originated from numerous drilling campaigns undertaken by private contractors in each district to site and construct hand-pump borehole community water supplies between 2000 to 2018. In total over 1000 paper borehole records were initially collated and reviewed. This work was carried out over several months visiting the district water offices. Following a quality assurance procedure 655 records were transcribed to create a digital dataset. Each borehole record in the dataset contains a series of metadata alongside the pumping test data (e.g. pump depth, static water level, pumping rate and duration) including locational information (e.g. coordinates, water strike, borehole depth, borehole lithologies). The dataset is delivered as a series georeferenced site information within an MS Excel spreadsheet file.

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    This layer of the Map based index (GeoIndex) shows where water wells exist with data available on transmissivity, storativity and discharge/drawdown. These parameters indicate the physical characteristics of the aquifer which can relate to factors such as possible storage capacities or rate of movement of water through the rock.