This dataset provides an overview of hydrothermal alteration samples from the island of Milos, Greece, that were analysed using a portable infrared mineral analyser (PIMA) or AgriSpec spectrometer. During data acquisition, spectrums were input into The Spectral Geologist (TSG) to provide an instant and estimated mineral identification using the shortwave infrared (SWIR) part of the electromagnetic spectrum. The samples were acquired during field visits between 2017 - 2019 by the British Geological Survey and the GW4+ Doctorial Training Partnership (NE/L002434/1). This data was primarily used to aid sample collection for further hydrothermal alteration analyses to improve our understanding of regional and local paleo-hydrothermal activity across the island. Identification by the TSG provides an estimation only, and the raw data files in .txt, .fos and .csv formats, are supplied for each analysis in the attached zipped file. This may be useful within the metallic and industrial mineral mining sector and associated researchers. The data includes grid references (± 5 m), TSG interpretations, and field/sample observations noted during data acquisition. GW4+ Doctoral Training Partnership (NE/L002434/1) is supported by grant award GA/09F/139 – RMS E3557, and the British Geological Survey’s University Funding Initiative (BUFI S345).

The dataset is a Soil Corrosivity Map for the U.K. based on the BGS DIGMapGB-PLUS Map. The creation of this dataset involves scoring the Soil Parent Material types for five different attributes that contribute towards the corrosion of underground assets. These are (i) high or low soil pH, (ii) general soil moisture, (iii) the likelihood that soil saturated and undergo periods of anaerobic conditions, (iv) the presence of sulphides and sulphates and (v) the resistivity of the soil parent material. The scoring of each of these parameters was undertaken based on the Cast Iron Pipe Association (CIPA) (now the Ductile Iron Pipe Research Association, DIPRA) rating system. By combining the scores of each parameter a GIS layer has been created that identifies those areas that may provide a corrosive environment to underground cast iron assets. The final map has been classified into three categories signifying: 'GROUND CONDITIONS BENEATH TOPSOIL ARE UNLIKELY TO CAUSE CORROSION OF IRON', 'GROUND CONDITIONS BENEATH TOPSOIL MAY CAUSE CORROSION TO IRON', 'GROUND CONDITIONS BENEATH TOPSOIL ARE LIKELY TO CAUSE CORROSION TO IRON'. The dataset is designed to aid engineers and planners in the management of and maintenance of underground ferrous assets.