The C V Jeans collection of x-ray diffraction films and x-ray diffractograms form the basis of my investigations into the clay minerals stratigraphy of the Cretaceous, Jurassis, Permo-Triassic and Old Red Sandstone strata of the British Isles. It covers the period from 1965 to 2006 and involved both my own private research as well as investigations carried out for clients

These data comprise input and output files from first principles molecular dynamics calculations on the soil mineral kaolinite, detailing its interactions with four different veterinary antibiotics, namely enrofloxacin, florfenicol, ciprofloxacin and florfenicol amine. The dataset includes the final, complete molecular dynamics trajectories of the sorption process of each antibiotic on the mineral surfaces (Al-terminated or Si-terminated). The data were collected as part of the NERC Exploring the Frontiers grant (Grant No. NE/X009572/1), ‘Antibiotic chemistry in agricultural soils: modelling mineral-antibiotic interactions from first principles’. The work fits within the broad field of ‘emerging contaminants’ in the environment, and understanding drivers of antimicrobial resistance (AMR). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/ce86e353-5068-48a6-99bc-4898201d6e6b

This dataset contains information relating to the survival and persistence of Salmonella spp. on plastic and glass, under conditions simulant of a peri-urban waste pile. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), bacterial concentration (CFU/ml), survival percentages, and regression parameters. Data were sampled over a 28-day period using culture-based approaches; and the ability of isolates to cause disease following their recovery was determined through the use of a Galleria mellonella model. This work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1]. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/9c3a1ae5-65d7-45c6-b6f3-1a955b17abff

This dataset contains information relating to the survival and persistence of Salmonella spp. on plastic and glass, under conditions simulant of environmental UV exposure. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), bacterial concentration (CFU/ml), survival percentages, and regression parameters. Data were sampled over a 21-day period using culture-based approaches; and the ability of isolates to cause disease following their recovery was determined through the use of a Galleria mellonella model. This work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1]. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/57ef148f-8cfb-4ba6-b673-114b22b21613

This dataset contains the elevation data of a 10m long, 20cm wide experimental river. This river was generated in an experimental flume (Total Environment Simulator) of the University of Hull. This river was formed spontaneously by imposing water and sediment flux at the upstream boundary of a flat sand bed. This model doesn’t attempt to reproduce any natural river, it’s a generic model design to explore the influence of discharge variation on the river evolution. We regularly measure the topography of the experimental area to follow the evolution of the river width, depth, slope, and conveyance capacity. The elevation is measured in metres. The associated table contains the experimental characteristics: time (seconds), water discharge (L/min), and morphological characteristics extracted from the DEM. This is the raw data, so the width is in pixels, the depth is in metres and the conveyance capacity is in metre pixel. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/7b2071d6-da02-4f48-a87e-ccab19a737bd

This resource holds survival data of human pathogens bound to microplastics during transfer through the freshwater-marine continuum. The survival of Escherichia coli, Enterococcus faecalis and Pseudomonas aeruginosa colonising polyethylene or glass particles was quantified in mesocosm incubation experiments designed to simulate, (1) the direct release of microplastics from wastewater treatment plants (WWTPs) into freshwater and seawater environments; and (2) the movement of microplastics downstream following discharge from the WWTP through the river-estuary-marine-beach continuum. Background bacterial concentrations and crystal violet were also measured. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/c31c0b2a-ee5b-479f-84c3-ff1b0bfc6d84

This dataset contains acute and chronic ecotoxicology measurements of Eisenia fetida earthworms exposed to different types and concentrations of bio-based textile-derived microfibres. Acute test (72 hours) measured earthworm mortality across a range of fibre concentrations, following OECD TG 207 standard guidelines. Chronic tests (following OECD TG 222 guidelines), using one fibre concentration were conducted over 28-days and measured mortality, growth, reproductive output (number of egg cocoons and juveniles), oxidative stress and elemental composition of earthworms. Data were collected in order to establish lethal thresholds and sub-lethal effects of different textiles microfibres (bio-based and conventional). This research is part of the BIO-PLASTIC-RISK project, funded by Natural Environment Research Council through the grants NE/V007556/1 and NE/V007246/1. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/577486c2-c6e1-4588-957d-69c1a3d85628

This dataset contains information relating to the rate of colonisation of E. coli O157 on plastic and banana leaf, under simulated environmental conditions. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), and bacterial concentration (CFU/ml). Data were sampled over defined periods using culture-based approaches. This work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1]. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/abbc69c2-b799-4892-a339-fb1ffa4ea2f0

This dataset contains measurements from smart sensors and cameras monitoring the movement of a single wooden dowel moving downstream in a flume. The following values in the x, y, and z directions are provided: velocity, linear acceleration, angular velocity, and filtered angular velocity. The quaternion components are also included. Four uniform flow conditions were tested, and the experiments were repeated about 50 times. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/11b69869-90db-4deb-8ec2-a78f6bb0ea24

[This nonGeographicDataset is embargoed until March 11, 2026]. This dataset contains daily germination rates of temperate tree species’ seed under elevated ozone fumigation in a closed chamber system. Daily counts of germinated sees were made. The seeds were exposed to an ambient and +60 parts per billion ozone treatment for approximately one month in the winter of 2024. Species tested were Betula pendula, Pinus sylvestris and Picea sitchensis. These data were collected to examine the possible effect of ozone on timing and percentage success of seed germination. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/e0226c12-f07a-48a6-8bef-9ae9e0a7d249